Solved Examples. JEE Main/Boards. Similarly, Example 1: If x y 2x 3x + y 3z + 4w = 5 25, find x, y, z, w.

Μέγεθος: px
Εμφάνιση ξεκινά από τη σελίδα:

Download "Solved Examples. JEE Main/Boards. Similarly, Example 1: If x y 2x 3x + y 3z + 4w = 5 25, find x, y, z, w."

Transcript

1 6.6 Matrices Solved Examples JEE Main/Boards Example : If x y x + z x + y z + 4w 5 5 5, find x, y, z, w. Sol. We know that in equal matrices the corresponding elements are equal. Therefore, by equating the elements of these two matrices which have the same number of rows and columns, we get the value of x, y, z and w. Given x y x + z x + y z + 4w x y, x + z 5; x + y 5, z + 4w 5 By solving these equations, we get x, y, z, w 4 Example : Show that the matrix 5 6 is a nilpotent matrix of index Sol: Value of the index at which all elements of the matrix become 0, i.e. null matrix, is called the nilpotent matrix of that index. Here we calculate the n th power of the matrix, where n,,,. The value of n at which the matrix becomes null matrix is the index value. Given A 5 6 A A A Similarly, A A. A A 0. i.e. A k 0 Here k Hence, A is nilpotent matrix of index Example : Solve the following system of homogeneous equations: x + y z 0, x y z 0 and x + y + z 0 Sol: In this problem we can write the given homogeneous equations in a matrix form, i.e. [A][X] [O] and then by calculating the determinant of matrix A we can find if that given system has a trivial solution or not. The given system can be written as x 0 y 0 or AX O z 0 Where, A Now, A ( + ) ( + 6) ( + ) Thus A 0. x 0 X y and O 0 z 0 So the given system has only the trivial solution given by x y z 0

2 Mathematics 6.7 Example 4: Find x, y, z and a for which x + y + x z 4a a Sol: We know that, in equal matrices the corresponding elements are equal. Therefore by equating the elements of these two matrices which have the same number of rows and columns we get the values of x, y, z and w. Given, x + y + x z 4a a We know, that for equal matrices the corresponding elements are equal, therefore x + 0; y + x 7; z ; 4a 6 a; By solving these equations, we get x, z 4, y, a. Example 5: Compute the adjoint of the matrix 4 5 A Sol: For this problem, we use the formula to get the cofactors of all the elements of matrix A. Then by taking the transpose of the co-factor matrix we can get the adjoint of matrix A. Consider C ij be a co-factor of a ij in matrix A. Then the co-factors of the elements of A are given by C , 0 C , C 0 0, C ( ) C , C 4 0 ( 0), C 4 5 C 5 C , 6 ( ) 6 5 9, 6 ( ) 0, ( ) adj A Example 6: If A cos θ sinθ T sin θ cosθ, Then find lim n n An. Sol: For this problem, we first have to calculate the n th power of matrix A, i.e. A n, and multiply the matrix A n by n. Then, by with the given limit we can find the solution of this problem. Given A cos θ sinθ sin θ cosθ n A n cos θ sin θ cosn θ sinn θ sinθ cosθ sinnθ cosnθ cosnθ sinnθ n An n n sinnθ cosnθ n n But cos nθ, sin nθ ; cos nθ lim 0, n n lim n sinnθ n 0, lim n n An Example 7: A trust fund has Rs. 50,000 that is to be invested into two types of bonds. The first bond pays 5% interest per year and the second bond pays 6% interest per year. Using matrix multiplication determine how to divide by Rs, 50,000 among the two types of bonds so as to obtain an annual total interest of Rs.,780. Sol: In this problem, investment amounts can be written in the form of a row matrix and interest amounts can

3 6.8 Matrices be written in the form of column matrix. By multiplying these two matrix we will get the equation for annual interest rates. By equating this to the given annual interest value we will get the required answer. Consider investment of first type of bond Rs. x And second type of bond Rs. 50,000 x These amounts can be written in the form of a row matrix A which is given by A x x The interest amounts per rupee, per year from the two 5 bonds are Rs. 00 and 6 which can be written in the 00 form of a column matrix B which is given by B The total interest per year is given by 5 A.B [x 50,000 x] [x. 5/00 + (50,000 x). 6/00] [000 x/00] Since the required total annual interest is Rs.,780. [000 x/00] [780] 000 x/ x 00( ),000 Hence the required amounts to be invested in the two bonds are Rs.,000 and Rs. (50,000,000), i.e. Rs.,000 and Rs. 8,000 respectively. Example 8: If f(α) cos α sin α and if α, β, γ are sinα cosα the angles of a triangle, then prove that f(α). f(β), f(γ) I Sol: In this problem, by the methods of substitution and multiplication of matrices we can easily prove the given equation. Given that f(α) cos α sin α sinα cosα f(β) cos β sin β and sinβ cosβ cos γ sin γ f ( γ ) sin γ cos γ f(α)f(β) cos α sin α cosβ sinβ sinα cosα sinβ cosβ cos α cos β sin α sin β cos α sin β+ sin α cos β sinαcosβ cosαsinβ sinαsinβ+ cosαcosβ cos( α+β ) sin( α+β ) sin( α+β) cos( α+β) Similarly f(α) f(β) f(γ) cos( α+β+γ ) sin( α+β+γ ) sin( α+β+γ) cos( α+β+γ) cos π sin π and as α + β + γ p sinπ cosπ I Example 9: If M(α) M(β) cosβ 0 sinβ 0 0 β β sin 0 cos cosα sinα 0 sinα cosα then prove that [M(α) M (β)] M( β) M( α) Sol: In this problem, by finding the inverse of the matrix we can easily get the required answer. [M(α) M (β)] M(β) M(α) Given M(α) cosα sinα 0 sinα cosα cosα sinα 0 M(α) sinα cosα cosα sinα 0 sinα cosα We can also write this in the form cos( α) sin( α) 0 sin( α) cos( α) 0 M( α) 0 0 T

4 Mathematics 6.9 Similarly, cosβ 0 sinβ M(β) 0 0 β β sin 0 cos cos( β) 0 sin( β) 0 0 M( β) β β sin( ) 0 cos( ) [M(α) M (β)] M( β) M( α) Example 0: Show that the homogeneous system of equations x y + z 0, x + y z 0, x + 6y 5z 0 has a non-trivial solution, Also, find the solution. Sol: In this problem we can write the given homogeneous equations in a matrix form, i.e. [A][X] [O] and then by calculating the determinant of matrix A we can find if that given system has a non- trivial solution or not. The given equations are x y + z 0, x + y z 0, x + 6y 5z 0, We can write these equations in the form of matrices as shown below 6 5 x 0 y 0 or AX O, where z 0 x 0 A, X y and O z 0 Now, A 6 5 ( 5 + 6) + ( 5 + ) + (6 ) 0 Thus, A 0 Hence, the given system of equations has a non-trivial solution. To find the solution, we take z k in the first two equations and write them as follows: x y k and x + y k or x y k or AX B, k where A, X x y and B k Now, A k 0. So A exists; We have, adj A So, A A adj A A Now X A B x y x k/, y k/ k k/ k k / These values of x, y and z also satisfy the third equation. Hence x k/, y k/ and z k, where k is any real number and which satisfy the given system of equations. JEE Advanced/Boards Example : Let A and B be symmetric matrices of the same order. Then show that (i) A + B is symmetric (ii) AB BA is skew-symmetric (iii) AB + BA is symmetric Sol: In this problem, by using the conditions for symmetric and skew-symmetric matrices we can get the required result. As given, A and B are symmetric. A A and B B (i) (A + B) A + B A + B A + B is symmetric (ii) (AB BA) (A B) (BA) B A A B [by reversal law] BA AB [A A, B B] AB BA is skew-symmetric (iii) (AB + BA) (AB) + (BA) B A + A B BA + AB AB + BA AB + BA is symmetric.

5 6.0 Matrices Example : Solve the following equations: x y + z 9 x + y + z 6 x y + z Sol: In this problem, we can write the given homogeneous equations in a matrix form, i.e. [A][X] [O]. Then, by calculating the determinant of matrix A and adjoint of A, we get an inverse of matrix A, i.e. A. By multiplying this into [A][X] [O] we get the required values of x, y, and z. We can also find if that given system has a trivial solution or not. As given, x y + z 9 x + y + z 6 x y + z This system can be written as AX B, x Where, A X y z and B 9 6 A ()+(0)+(-) Adj A A Now, Adj A A X A B x, y, z-7 is the solution. T Example : Let A, prove that A 4A 5I 0, hence obtain A : Sol: In this problem, by using a simple multiplication method we can get the matrix A, then by substituting these in the given equation we will easily obtain the required result. A A. A Now A 4A 5I [Here 0 is the zero matrix] Thus A 4A 5I O A A 4A A 5A I A O O or (A A)A 4(A A) 5A I O; or IA 4I 5A O; 5A A 4I A /5 /5 /5 5 /5 /5 /5 /5 /5 /5 Example 4: Find the product of two matrices 5 A and B where A 7 5 B and use it for solving the equations x + y + z, x + y + z 7 and x + y + z

6 Mathematics 6. Sol: As the given system of equations is in the form BX C, multiplying it by B, which is obtained by the multiplication of AB, we can get the required result. AB Also the given system of equations in matrix form is BX C (ii) x Where X y and C 7 z From (ii), X B C [Multiplying both sides of (ii) by B B B I From (), AB 4I A 4. B I B A 5/4 /4 /4 4 7/4 /4 5/4 /4 /4 /4 x y X B C z 5/4 /4 /4 7/4 /4 5/4 7 /4 /4 / x, y, z Example 5: Given A Find P such that BPA , B 4 Sol: Pre-multiplying both sides by B and Postmultiplying both sides by A in BPA 0 we can find P. 0 0 Given BPA B BPA A B A IPI B A P B A (i) To find B, B 4 B Let C be the matrix of co-factors of elements in B ; C C C C C C 4 C C C C 4 B adjb B C' C 4 4 To Find A, Since A 4 A (4 ) ( ) + (6 8) 0 0 Let C be the matrix of co-factors of elements in A ; C C C C C C C C C C (ii)

7 6. Matrices ; C 0 Adj A A AdjA A 0 0 Adj, A Substituting eq. (ii) and (iii) in eq. (i), we get P P P P cosα sinα 0 Example 6: If F(α) sinα cosα 0 then 0 0 show that F(x). F(y) F( x+ y). Hence, prove that [F(x)] F( x). (iii) Sol: By substituting x and y in place of α in given matrices we will get F(x) and F(y) respectively and then by multiplying them we will get the required result. F(x) F(y) cosx sinx 0 sinx cosx cos y siny 0 siny cos y cosx cos y sinx siny cosx siny sinx cos y 0 sinx cos y + cosx siny sinx siny + cosx cos y cos(x + y) sin(x + y) 0 sin(x + y) cos(x + y) 0 F(x +y) 0 0 i.e. F(x).F(y) F(x +y) nd part. As we know that F(x) [F(x)] I Replacing y by x in (i), we get F(x). F( x) F(x x) F(0) cos0 sin sin0 cos i.e. F(x) F( x) I therefore from (ii) and (iii) [F(x)] F( x). (i) (ii) (iii) Example 7: Show that every square matrix A can be uniquely expressed as P + iq where P and Q are Hermitian matrices. Sol: By considering P (A + Aθ ) And Q i (A Aθ ) we get A P + iq Then, using the property of a Hermitian matrix we can prove the above problem. θ Now P θ θ (A + A ) (A + Aθ ) q {Aθ + (A θ ) q } (Aθ + A) (A + Aθ ) P P P θ, hence P is a Hermitian matrix. Similarly θ Q θ θ (A A ) (A A θ ) q i i i {Aθ (A θ ) q } i (Aθ A) i (A Aθ ) Q Q is also Hermitian matrix,

8 Mathematics 6. Therefore A can be expressed as P + iq,where P and Q are Hermitian matrices. Let A R + is where R and S are both Hermitian matrices We have A θ (R + is) θ R θ + (is) q R θ + is θ R θ is θ R is (since R and S are both Hermitian) A + A θ (R + is) + (R is) R R (A + Aθ ) P Also A A θ (R + is) (R is) is S (A A θ ) Q i Hence expression () for A is unique Example 8: If A is Hermitian such that A 0, show that A 0, Sol: As A is a Hermitian matrix therefore A θ A. By considering A [a ij ] n n to be a Hermitian matrix of order n and as given A 0, we can solve given problem as follows. A a a... an a a... an and a n a n... ann a a... an A θ a a... an a n a n... ann Since A 0; Let AA θ [b ij ] n n AA θ 0 Then each element of AA θ is zero and so all the principal diagonal elements of AA θ are zero b ii 0 for all i,,, n Now, b ii a i a i + a i a i + + a in a in a i + a i + a in b ii 0 a i + a i + + a in 0 a i a i a in 0 a i a i a in 0 each element of the i th row of A is zero, but b ii 0 i,. n Each element of each row of A is zero. Hence, A O Example 9: If the non-singular matrix A is symmetric, then prove that A is also symmetric. Sol: By using the conditions of non-singular and symmetric matrix we can easily find the required result. As given matrix A is a non-singular symmetric matrix. A 0 and A T A, So, A exists Now, AA I A A (AA ) T (I) T (A A) T (A ) T A T I A T (A ) T (A ) T A I A(A ) T [ A T A] A (A ) T A is symmetric. Example 0: Find the rank of the matrix A Sol: given A R R R,R R R and R 4 R 4 6R A [Applying R 4 R 4 - R - R ] [Applying R R R ]

9 6.4 Matrices [Applying R R 4R ] [Applying R / R ] ~ Since the equivalent matrix is in echelon form having three non-zero rows. Hence, r(a) JEE Main/Boards Exercise Q. Find x and y, if x 5 x+ y Q. A matrix has rows and columns. How many elements a matrix has? Find the number of elements of a matrix if it has rows and columns. Q. Order of matrix A is and order of matrix B is. Find the order of AB and BA, if defined. Q.4 Given a matrix A [a ij ], i and j, where a ij i + j. Write the element (i) a (ii) a (iii) a (iv) a 4 Q.5 A matrix has 8 elements. Write the possible orders of matrix. Q.6 Give an example of a diagonal matrix, which is not a scalar matrix. Also give an example of a scalar matrix. Q.7 For the matrix A, show that A + A T is a symmetric matrix. Q.8 For the matrix A, Show that A A T is a skewsymmetric matrix. Q.9 The total number of elements in a matrix represents a prime number. How many possible orders a matrix can have? Q.0 Find x and y, if x y Q. If f(x) x 9x + 7, then for a square matrix A, write f(a). Q. If A, B and AB are symmetric matrices, then what is the relation between AB and BA? Q. If A B, [ 4], find AB. Q.4 Are the matrix Give reasons. 4 and Q.5 Given a matrix A 4. Find matrix ka, where k Q.6 Simplify: tan θ sec θ tan θ tanθ secθ + sec θ tan θ sec θ. secθ tanθ equal? Q.7 If X m Y P 4 Z b, for three matrices X, Y, Z, find the values of m, p and b. 0 Q.8 Is matrix A 0 symmetric or skewsymmetric? Give 0 reasons. Q.9 If R (θ) cos θ sin θ, write (i) R π, (ii) R(x+y) sinθ cosθ

10 Mathematics 6.5 Q.0 For a skew-symmetric matrix A [a ij ], what is the nature of elements a ij, if i j. Q. If A a 0 0 0, find A6. Q. Find x, if [x ] 0 x 0 Q. Find the sum of matrix A and its additive inverse. 4 6 Q.4 Find X, if X Q.5 Evaluate, sin θ + cos θ cot θ 0 cosec θ 0 Q.6 If A and B are symmetric matrices, show that AB is symmetric. Q.7 If a matrix has 8 elements, what the possible orders it can have? What if it has 5 elements? Q.8 Evaluate the following: [a, b] c + [a b c d] d Q.9 If A a b c d , find A. Hence find A Q.0 Show that the element of the main diagonal of a skew-symmetric matrix are all zeros. Q.4 If A cos α sin α, then show that sinα cosα A cos α sin α sinα cosα Q.5 If A and I 0 0, prove that (ai + ba) a I + a ba. Q.6 If A 0, find the values of p and q such that (pi + qa) A. 4 5 Q.7 If A 0 6 and B find A B. Q.8 Construct a matrix [a ij ], whose elements are given by a ij i j. Q.9 If x x y x + z y w, find x, y, z, w. 4 7 Q.40 Find matrices X and Y, if X + Y and X Y 6 0 Q.4 If A cos θ cosθsinθ ; θ θ θ cos sin sin cos φ cosφsinφ B, then show that AB is zero cosφsinφ sin φ matrix, provided (θ φ) is an odd multiple of π/. Q. Find AB, if A and B Q. If A 4, find values of x and y such that 5 A xa + yi O where I is a unit matrix and O is a zero matrix. Q. If A find B. and A B 4 5 9, Q.4 If A and B compute A B. Q.4 Find the matrix X such that, X , 4 4

11 6.6 Matrices Exercise Single Correct Choice Type Q. If number of elements in a matrix is 60 then how many dimensions of matrix are possible (A) (B) 6 (C) 4 (D) None of these Q. Matrix A has x rows and x + 5 columns. Matrix B has y rows and y columns. Both AB and BA exist, then (A) x, y 4 (B) x 4, y (C) x, y 8 (D) x 8, y Q. If A is square invertible matrix such that A A, then det.(a I) is (A) (B) (C) (D) None of these Q.4 Number of distinct matrices that can be formed using all the 4 distinct elements is (A) 4! (B) 4(4)! (C) (4)! (D) (4)! Q.5 If A A, then (I + A) 4 is equal to (A) I + A (C) I + 5A (B) I + 4A (D) None of these Q.6 If A α β is an orthogonal matrix, where α, β α β and the roots other than the common root of the equations x px + q 0 & x + px q 0, then (A) p±, q± (B) p 0, q ± (C) p ±, q 0 (D) None of these Q.7 A is a square matrix of order n and (det A). If det (λa) 8; where λ N, then possible value of n is (A) (B) 5 (C) (D) 7 Q.8 If A and f(x) + x, then f(a)is x (A) (C) (B) (D) None of these Q.9 If A is a skew symmetric matrix such that A T A I, then A 4n (n N) is equal to (A) A T (B) I (C) I (D) A T Q.0 A and B are matrices satisfying det A det B and tr(a) tr(b), further A A + 4I 0 and B λb + µi 0, then µ is equal to (A) (B) (C) (D) 4 Q. The false statement is - (A) The adjoint of a scalar matrix is scalar matrix. (B) The adjoint of upper triangular matrix is lower triangular matrix. (C) The adjoint of upper triangular matrix is upper triangular matrix. (D) adj(adj A) A, A is a square matrix of order. Q. If the matrices A, B, (A + B) are non-singular, then [A(A + B) B] is equal to (A) A + B (B) A + B (C) (A + B) (D) None of these Q. If A is an orthogonal matrix A, then A T is equal to (A) A (B) A (C) (adj A) (D) (adj A) Q.4 If A and B are square matrices of order, then (A) adj(ab) adj A+adj B (B) (A + B) A + B (C) AB 0 A 0 or B 0 (D) AB 0 A 0 and B 0 Q.5 If A a a 0, then A adj A is equal to 0 0 a (A) a 5 (B) a 7 (C) a 8 (D) None of these Q.6 If A tanx, then the value of A T A is tanx (A) cos 4x (B) sec x (C) cos 4x (D)

12 Mathematics 6.7 Q.7 If A 5, then 9A is equal to (A) A T (B) A (C) A (D) A Q.8 If P is a two-rowed matrix satisfying P T P, then P is (A) cos θ sin θ (B) cos θ sin θ sinθ cosθ sinθ cosθ (C) cos θ sin θ sinθ cosθ (D) None of these Q.9 If A and B are two non-singular matrices of the same order such that B r I, for some positive integer r >, then A Br r A A B A is equal to. (A) 0 (C) A (B) I (D) None of these Q.0 If A and B are orthogonal matrices of same order, then: (A) A + B is also orthogonal. (B) A B is also orthogonal. (C) AB is also orthogonal. (D) AB + BA is also orthogonal. Q. If C is an orthogonal matrix and A is a square matrix of same order then, trace of C T AC is equal to (A) Trace of C (C) Trace of A (B) Trace of AC (D) None of these matrix Q. Let A and B are idempotent matrices such that A.B BA and A B is non singular then A + B is equal to (A) 0 (B) (C) (D) ± Q. If A and B are square matrices of same order and AA T I, then (A T BA) 0 is equal to (A) AB 0 A T (C) A 0 B 0 (A T ) 0 (B) A T B 0 A (D) 0A T BA 0 c b Q.4 If A c 0 a and b a 0 a ab ac B ab b bcthen AB is equal to ac bc c (A) A (B) B (C) O (D) I Q.5 If A, B, C are square matrices of same order & AB BA, C B, then (A CA) is equal to (A) B (B) A (C) C (D) C Q.6 A is a diagonal matrix of order, and tr(a). If all diagonal entries are positive then maximum value of det (A) is (A) 8 (B) 6 (C) (D) 64 Q.7 If A and B are two matrix such that AB B and BA A, then A + B is equal to (A) AB (B) BA (C) A + B (D) AB Q.8 A 0 and B is column matrix such 0 that (A 8 + A 6 + A 4 + A + I), B 0 where I is a unit matrix of order, then B is equal to (A) 0 (B) 0 (C) 0 (D) Q.9 If A and B are square matrices of same order such that AB BA and A I, then ABA is equal to (A) (AB) (B) I (C) B (D) B Previous Years Questions Q. The parameter, on which the value of the a a determinant cos(p d)x cospx cos(p + d)x sin(p d)x sinpx sin(p + d)x does not depend upon, is (997) (A) a (B) p (C) d (D) x

13 6.8 Matrices Q. If f(x) x x+ x x(x ) (x + )x x(x ) x(x )(x ) (x + )x(x ) then f(00) is equal to (999) (A) 0 (B) (C) 00 (D) 00 Q. The number of distinct real roots of sinx cosx cosx cosx sinx cosx cosx cosx sinx π 4 x π 4 0 in the interval is (00) (A) 0 (B) (C) (D) Q.4 The number of values of k for which the system of equations (004) (k + )x + 8y 4k, kx + (k + )y k (A) 0 (B) (C) (D) Q.5 Given, x y + z, x y + z 4, x +y + lz 4, then the value of λ such that the given system of equations has no solution is (004) (A) (B) (C) 0 (D) Q.6 If P / /, A / / 0 and Q PAP T, then P T Q 005 P is (005) (A) (C) (B) (D) Q.7 If A 0, 6A A + ca + di, then 0 4 (c, d) is (005) (A) ( 6, ) (B) (, 6) (C) (, 6) (D) (6, ) Q.8 Let α, α, β, β be the roots of ax + bx + c 0 and px + qx + r 0 respectively. If the system of equations α y + α z 0 and β y + β z 0 has a non-trivial b solution. Then prove that q ac (987) pr Q.9 Find the value of the determinant bc ca ab p q r where a, b, and c are respectively the p th, q th and r th terms of a harmonic progression (987) Q.0 Suppose, f(x) is a function satisfying the following conditions: (998) (a) f(0), f() (b) f has a minimum value at x 5, and (c) For all x, ax ax ax + b + f (x) b b+ (ax + b) ax + b + ax + b where a, b are some constants. Determine the constants a, b and the function f(x) Q. Prove that for all values of θ, (000) sinθ cosθ sinθ π π 4π sinθ+ cosθ+ sinθ+ 0 π π 4π sinθ cosθ sinθ Q. If A is an non singular matrix such that AA' A'Aand B A Athen BB equals: (04) (A) I+ B (B) I (C) B (D) (B ) Q. If A is a matrix satisfying the a b equation AA T I where I is identity matrix, then the ordered pair (a, b) is equal to: (05) (A) (, ) (B) (,), (C) (, ) (D) ( ) 5a b T Q.4 If A and AadjA AA, then 5a + b is equal to (06) (A) - (B) 5 (C) 4 (D)

14 Mathematics 6.9 JEE Advanced/Boards Exercise Q. (a) A is a matrix such that A a, B (adj A) such that B b. Find the value of (ab + a b + I) S Where S a b + a b + a 5 b + up to, and a (b) If A and B are square matrices of order, where A and B I, then find (A ) adj (B ) adj(a ) Q. Let A be the matrices given by A [a ij ] where a ij {0,,,, 4} such that a + a + a + a 4 (i) Find the number of matrices A Such that the trace of A is equal to 4. (ii) Find the number of matrices A such that A is invertible. (iii) Find the absolute value of the difference between maximum value and minimum value of det (A). (iv) Find the number of matrices A such that A is either symmetric or skew-symmetric or both and det (A) is divisible by Q. For the matrix A find A. 4 Q.4 (a) Given A 4,B 4, Find P such that BPA (b) Find the matrix A satisfying the matrix equation. A. 5 4 Q.5 Let S be the set which contains all possible values of I, m, n, p, q, r for which A l p 0 0 m 8 q r 0 n 5 Be a non singular idempotent matrix. Find the absolute value of sum of the products of elements of the set S taken two at a time. cosx sinx 0 Q.6 If F(x) sinx cosx F(y) F(x + y). Hence, Prove that [F(x)] F( x). then show that F(x). Q.7 Let A n and B n be square matrices of order, which are defind as A n [a ij ] and B n [b ij ] i + j i j where a ij and b n ij for all i and j, i.,j. n If l lim Tr (A + A + A +. n A n ) and n m lim Tr(B + B + B +. n B n ) n Then find the value of ( l + m). [Note: Tr (P) denotes the trace of matrix P] Q.8 Let A be a matrix such that a a and all the other a ij. Let A xa + ya + zi then find the value of (x + y + z) where I is a unit matrix of order. Q.9 Given that A, 0 C, D and that Cb D. 9 Solve the matrix equation Ax b. 0 7 x 4x 7x Q.0 Let A 0 0 and B 0 0 are x 4x x two matrices such that AB (AB) and AB (where I is an identity matrix of order ). Find the value of Tr (AB + (AB) + (AB) + + (AB) 00 ) where Tr.(A) denotes the trace of matrix A.

15 6.40 Matrices Q. Let M n [m ij ] denotes a square matrix of order n with entries as follows. For i n, m ii 0; For i n, m i+, i m i, i + ; And all other entries in M n are zero. Let D n be the determinant of matrix M n, then find the value of (D 9D ). Q. Find the product of two matrices A & B, 5 where A 7 5 & B and use it to solve the following system of linear equations x + y + z ; x + y + z 7; x + y + z Q. Determine the values of a and b for which the x b system y a z (i) Has a unique solution; (ii) Has no solution and (iii) Has infinitely many solutions. Q.4 If A 4 ; B 0 ; C 4 and X x x 4 matrix equations. (a) AX B (c) CX A x then solve the following x (b) (B ) X IC Q.5 If A is an orthogonal matrix and B AP where P is a non singular matrix, then show that the matrix PB is also orthogonal. Q.6 Let M be a matrix such that M and M 0. If x and x (x > x ) are the two values x for which det (M xi) 0, where I is an identity matrix of order, then find the value of (5x + x ). Q.7 The set of natural numbers is divided into arrays of rows and columns in the form of matrices as A (), A , A 9 0 So on. 4 Find the value of T r (A 0 ). [Note: T r (A) denotes trace of A] I 0 x Q.8 Consider I n.m m x dx and J n.m I n x dx n > m and n, m N. m x + 0 (a) Consider a matrix A [a ij ], n I 6+ i, I i+,, i j where a ij 0, i j. Then find trace (A ). [Note: Trace of a square matrix is sum of the diagonal elements.] (b) Let A J 7 J J 6 J J 56 J 6,5,5 7,5,5 8,5,5 I 7 I and B I 6 I I 56 I then find the value of det (A) det (B) 6,5,5 7,5,5 8,5,5 Q.9 Consider the matrices A 4 and B a b and let P be any orthogonal matrix and 0 Q PAP T and R P T Q K P also S PBP T and T P T S K P Column I (A) If we vary K from to n then the first row first column elements of R will form (B) If we vary K from to n then the nd row nd column elements of R will form (C) If we vary K from to n then the first row first column elements of T will form (D) If we vary K from to n then the first row nd column elements of T will represent the sum of Column II (p) G.P. with common ratio a (q) A.P. with volume difference (r) G.P. with common ratio b (s) A.P. with volume difference

16 Mathematics 6.4 Q.0 Consider a square matrix A of order which has its elements as 0,, and 4. Let N denote the number of such matrices, all elements of which are distinct. Column I (A) Possible non-negative value of det (A) is (p) (B) Sum of values of determinants corresponding to N matrices is (C) If absolute value of (det(a)) is least, then possible value of adj(adj(adj A)) (D) If det (A) is algebraically least, then possible value of det (4A ) is Exercise Single Correct Choice Type Column II (q) 4 (r) (s) (t) 8 Q. Let A, B be two square matrices of the same dimension and let [A, B] AB BA, then for three matrices A, B, C, [[A, B],C] + [[B, C],A] + [[C, A],B] (A) (B) 0 (C) ABC CBA (D) None of these Q. A & f(x) x 8x + bx + γ. If A α satisfies f(x) 0, then ordered pair (α, γ) is (A) (, 7) (B) (, 7) (C) (, 7) (D) (, 7) Q. If α β is a square root of the two rowed unit γ δ matrix, then δ is equal to (A) a (C) g (B) β (D) None of these Q.4 For A 4 i, (A I) (A I) is a i (A) Null-matrix (C) Unit matrix (B) Hermitian matrix (D) None of these Q.5 If α, β, γ are the real numbers and cos( α β) cos( α γ) A cos( β α) cos( β γ) then γ α γ β cos( ) cos( ) (A) A is skew symmetric (B) A is invertible (C) A is non singular (D) A 0 Q.6 The values of x for which the matrix x+ a b c a x+ b c is non-singular are + a b x c (A) R {0} (B) R { (a + b + c)} (C) R { 0, (a + b + c)} (D) None of these Q.7 Let A is a skew symmetric matrix such A A, and B is a square matrix such that B T B B; B 0. If X (A + B) (A B), then X T X is (A) A I (B) I A (C) A (D) None of these Q.8 For two uni-modular complex numbers z and z, z z z z z z (A) z z z z (C) / 0 0 / z z equal to (B) 0 0 Q.9 If / 5 0 x / a 5 then the value of x is a (A) 5 (C) a 5 (D) None of these (B) a 5 (D) None of these,

17 6.4 Matrices Q.0 If A is square matrix such that A I, A and B (adj A) then incorrect statement is (A) AB BA (C) A B (B) AB I (D) B I Q. If A and B are square matrices of order and adj A B, then adj (AB) is equal to (A) B I (B) 9 B I (C) A I (D) 9 A I Q. Let A and B are square matrices of order n such that A T + B O, O is a null matrix, A adj B, tr (A) and A A then tr {adj(a T B)} is equal to (A) ( ) n (B) (C) ( ) n (D) None of these Q. If A is a non-singular matrix such that C A + B, C A I (A B) and AB BA, then (A) B is null matrix (B) A is null matrix (C) C A B (D) A B Previous Years Questions Q. Let ω be a cube root of unity and S be the set of all non-singular matrices of the form a b ω c, where each of a, b or c is ω ω either ω and w. Then, the number of distinct matrices in the set S is (0) (A) (B) 6 (C) 4 (D) 8 Q. Let M and N be two non-singular skewsymmetric matrices such that MN NM. If PT denotes the transpose of P, then M N (M T N) (MN ) T is equal to (0) (A) M (B) N (C) M (D) MN Q. Without expanding a determinant at any stage, show that x + x x+ x x + x x x x + x + x x Ax + B Where A and B are determinants of order not involving x. (98) Q.4 Show that the system of equations x y + 4z, x + y z, 6x + 5y + lz has at least one solution for any real number λ 5. Find the set of solutions, if λ 5. (98) Q.5 Consider the system of linear equations in x, y, z (sin θ) x y + z 0, (cos θ) x + 4y + z 0 and x + 7y + 7z 0. Find the values of θ for which this system has non-trivial solution. (986) Q.6 Let D a Show that n a a n 6 (a ) n 4n (a ) 8 n n n a c constant. (989) p b c Q.7 If a p, b q, c r and a q c 0 a b r p Then, find the value of p a + q q b + r r c Q.8 For a fixed positive integer n, if D D (n!) n! (n + )! (n + )! (n + )! (n + )! (n + )!, then show that (n + )! (n + )! (n + 4)! (99) 4 is divisible by n. (99) Q.9 Let λ and α be real. Find the set of all values of λ for which the system of linear equations lx + (sin α)y + (cos α)z 0 x + (cos α)y + (sin α)z 0 and x + (sin α) y (cos α)z 0 has a non-trivial solution for λ, find all values of α. (99) Q.0 Let a, b, c be real numbers with a + b + c. Show that the equation ax by c bx + ay cx + a bx + ay ax + by c cy + b 0 cx + a cy + b ax by + c represents a straight line. (00)

18 Mathematics 6.4 Q. Let ω be a cube root of unity and S be the set of all non singular matrices of the form a b ω c where each of a, b and c is either ω or ω ω ω. Then the number of distinct matrices in the set S is (0) (A) (B) 6 (C) 8 (D) 4 Q. Let M be a matrix satisfying 0 0 M,M and M Then the sum of the diagonal entries of M is (0) (A) 5 (B) 6 (C) 9 (D) 8 Q. If P is matrix such that P T P + I where P T is he transpose of P and I is the identity matrix, then there exists a column matrix x 0 X y 0such that (0) z 0 (A) PX (B) PX X (C) PX X (D) PX X Q.4 Let P a ij is matrix and let Q b ij, i j where b + a i, j.if the determinant of P is, ij ij then the determinant of the matrix Q is (0) (A) 0 (B) (C) (D) Q.5 Let ω be a complex cube root of unity with ω and P p i+ j be a n nmatrix with ω Then ij P 0, when n (0) (A) 57 (B) 55 (C) 58 (D) 56 Q.6 Let M and N be two matrices such that MN NM. Further, if M N and M N 4 then (04) (A) determinant of (M +MN ) is 0. (B) there is a non zero matrix U such that (M +MN ) P ij U is the zero matrix. (C) determinant of (M +MN ). (D) for a matrix U, if (M +MN ) U equals the zero matrix the U is the zero matrix. Q.7 The quadratic equation p(x)0 with real coefficients has purely imaginary roots. Then the equation p(p(x))0 has (A) Only purely imaginary roots. (B) All real roots. (C) Two real and two purely imaginary roots. (D) Neither real nor purely imaginary roots. + i Q.8 Let z, where,and r,s {,,}. Let ( ) r s z z P and I be the identity matrix of s r z z order. Then the total number of or dered pairs (r, s) for which P I is Q.9 Let P 0 α where 5 0 Suppose where R,k 0 k q 8 ij α R. Q q is a matrix such that PQ ki and det ( ) and I is the identity matrix of order. If k Q, then (A) α 0,k 8 (B) 4α k (C) det ( Padj( Q) ) (D) det ( Padj( P) ) 0 0 Q.0 Let P 4 0 and I be the identity matrix 6 4 of order. If Q q 50 is a matrix such that p Q I then q + q q ij equals (06) (A) 5 (B) 0 (C) 0 (D) 05

19 6.44 Matrices MASTERJEE Essential Questions JEE Main/Boards Exercise Q.7 Q.8 Q.7 Q. Q. Q.5 Q.8 Q.4 Q.44 Exercise Q.4 Q. Q.4 Q.9 Q. Q.6 Previous Years Questions Q. Q. Q.6 Q.0 Q. JEE Advanced/Boards Exercise Q.7 Q.0 Q. Q.8 Q.9 Q.0 Q.7 Exercise Q. Q.5 Q.8 Q. Previous Years Questions Q. Q.4 Q. Q. Answer Key JEE Main/Boards Exercise Q. x, y Q. 6; 6 Q. Order of AB is ; order of BA is not defined Q.4 (i) (ii) 7 (iii) 8 (iv) Q.5 8, 9, 6, 6, 9, 8 Q Q.9 Two Q.0 x, y Q. f(a) A 9S + 7I Q. AB BA Q Q.4 No Q.5 / Q.6 0 0

20 Mathematics 6.45 Q.7 m, p, b 4 Q.8 Skew-symmetric Q.9 (i) 0 0 (ii) cos(x + y) sin(x + y) sin(x + y) cos(x + y) Q Q.0 Each element is zero Q. ± 0 Q Q Q.5 0 Q.7 8, 4, 4, 8 ;, 5 Q.8 [ac + bd + a + b + c + d ] Q.9 Q ; A 6 A 0 0 Q. x 9m, y 4 9 Q. B 5 8 Q.6 P ±, q ± Q Q Q.9 x, y 7, z, w 4 Q.40 X , Y 0 5 Q.4A A, B I; A B AI A Q.4 X Exercise Single Correct Choice Type Q. A Q. C Q. D Q.4 B Q.5 C Q.6 C Q.7 A Q.8 B Q.9 D Q.0 D Q. B Q. B Q. C Q.4 C Q.5 D Q.6 D Q.7 D Q.8 B Q.9 A Q.0 C Q. C Q. C Q. B Q.4 C Q.5 C Q.6 D Q.7 C Q.8 C Q.9 C Previous Years Questions Q. B Q. A Q. C Q.4 B Q.5 B 5 5 a,b f x x x Q.6 A Q.7 A Q.9 0 Q.0 ( ) Q. B Q. D Q.4 B

21 6.46 Matrices JEE Advanced/Boards Exercise Q. (a) 5(b) 8 Q. (i) 5 (ii) 8 (iii) 8 (iv) Q. 0 0 Q.4 (a) (b) Q.5 9 Q.7 Q.8 Q.9 x, x, x Q.0 00 Q. Q. x, y, z Q. (i) a, b R (ii) a and b / (iii) a, b / Q.4 (a) X 5 (b) X (c) No solution Q.6 8` Q.7 55 Q.8 (a) 8 (b) 0 Q.9 A q; B s; C p; D p Q.0 A p, q, t; B s; C p, r; D r Exercise Single Correct Choice Type Q. B Q. A Q. A Q.4 A Q.5 D Q.6 C Q.7 B Q.8 C Q.9 C Q.0 D Q. B Q. C Q. C Previous Years' Questions Q. A Q. C Q.4 0 Q.5 θ nπ, nπ + ( ) n π 6, n Z Q6. n a a c Q.7 Q.8 n(n + 4n + 5) Q.9 α nπ or nπ + π/4 Q.0 0 Q. A Q. 9 Q. D Q.4 D Q.5 B, C, D Q.6 A, B Q.7 D Q.8 A Q.9 B, C Q.0 B

22 Mathematics 6.47 Solutions JEE Main/Boards Exercise Sol : x 5 x+ y x x 4 x 4/ 5 x + y + y y 5 (x, y) (, ) Sol. row n Column m Then total elements mn if (n, m) (, ) nm. 6 if (n, m) (, ) mn. 6 Sol : A and B For AB order will be For BA row of B column of A So, BA does not exist Sol 4: A [a ij ], i, i j a ij i + j (i) a + (ii) a + () (iii) a + () 8 (iv) a 4 not a element i j but here 4 > Sol 5: Total element 8 Assume no of row n And no. of column m so n m Sol 6: Diagonal matrix 0 0 scalar matrix 0 0 Sol 7: Matrix A [a ij ] assume A T [a ji ] So A + A T [a ij + a ji ] [b ij ] assume Here b ij a ij a ji b ji a ij + a ji Here b ij b ji Matrix is symmetric. Sol 8: A A T [a ij ] [a ji ] [b ij ] assume b ij a ij a ji b ji a ji a ij b ij b ij This matrix is known as symmetric matrix. Sol 9: A matrix row n, column m Total element mn mn is prime no. so mn could be, 5, 7, factor of or So for any prime no. of only order n and n (n prime no. ) Sol 0: x + 0 y 4 x 0 y + 4 x 0 x y + 4 y 4 Y Sol : f(x) x 9x + 7 f(a) if A is a matrix f(a) A 9A + 7I A is a square matrix so A is possible.

23 6.48 Matrices Sol : A, B and AB are symmetric matrices A a ij B b ij AB A ij B ji C ij BA B ij. A ji d ij but B and A ij ij B ji symmetric matrix s property A ji AB A ij B ij A ij. B ij BA AB BA Sol : A AB Sol 4: 4 B 4 4 and Both have different orders. So they are not same. Sol 5: A 4, K KA K 4 4 ( ) (4) () Sol 7: X m Y p 4 Z b Column of x row of y p and b (m 4) So m ; b 4 Sol8: A a a, a a a a, so A is skew symmetric. Sol 9: R(θ) cos θ sin θ sinθ cosθ π π cos sin π R 0 π π sin cos 0 R(x + y) cos(x + y) sin(x + y) sin(x + y) cos(x + y) Sol 0: Skew symmetric A [a ij ] For all skew symmetric Matrix dia. l element (a ij ) are zero so a ij 0 & when i j Sol : A a a 0 A 0 0 A A a a A a a A4 4 a Sol 6: tanθ sec θ tan θ tanθ secθ + secθ tan θ sec θ secθ tamθ A 6 6 a tanθsecθ tanθsecθ tan θ sec θ tan θ sec θ tanθsecθ+ cosθsecθ Sol : [X ] 0 X 0 0 sin θ cos θ sin θ cos θ X [ x 0 ] [x ] X 0 [(x )x ()] 0 x x 9 0

24 Mathematics 6.49 x ± 4( 9) Sol : A 4 6 ± 0 Additive inverse B which is A So, A + B A A 0 Sol 4: x Assume x x x x x 4 x + x x + x x + x 0 x 4 x x + 5 x 5 x 4 0 x 4 x x x Sol 5: 4 x 0 5 x sin θ + cos θ cot θ 0 cosec θ 0 sin θ+ cos θ cot θ cosec θ Sol 7: Matrix has 8 element m n if m n (only possible order) Sol 8: a b c d a b c [ac + bd] [a + b + c + d ] [a + b + c + d + ac + bd] a b c d 0 0 Sol 9: A A A I A 6 [A ] [I] I A 6 I A Sol 0: Properties of skew symmetric matrix [a, j] All diagonal element are zero a ij a ji Sol : A B 0 0 AB ( 7) 0 0 0(5) 0( ) 0 0 Sol : A 4 5 A XA +YI 0 A A 7 8 A XA + YI x + y 7 x x + x 5x + y 0 0 Compare elements 7 x 0

25 6.50 Matrices x 7 x 7 9 y 45 4 (x, y) (9, 4) Sol : A A B Assume B b b b b4 b5 b6 A B. b. b 5.b 4 b4.5 b5.7 b b 4 b 6 b b 6 5 b Same as b 9 4 b 4 5, b 8 5, b 6 9 So B 5 8 Sol 4: A cos α sin α sinα cosα 0 Sol 5: A 0 0, 0 F 0 For (ai + ba) ; ai a 0 0 a 0 0 a ba b b 0 0 ai + ba a 0 0 a + 0 b 0 0 a b 0 a (ai + ba) a b a b a b 0 a 0 a 0 a a ab + ba a b 0 a 0 a a ab+ ab 0 a a a b 0 a and R. H. S. a I + a ba a a b 0 0 a a b a a b 0 a a L. H. S. R. H. S Sol 6: A 0 (pi + qa) A pi p 0 0 p, qa q 0 0 q q q A cos α sin α sinα cosα cosα sinα sinα cosα pi + qa p 0 0 p + 0 q q q p q q p+ q A cos α sin α cosαsinα+ sinαcosα sinαcosα sinαcosα sin α+ cos α we know cos α sin α cos α and cosα sinα sinα (pi + qa) p q p q q p+ q q p+ q p q pq + q(p + q) A (given) pq q(p + q) q + (q + q) so cosα sinα A sinα cosa A 0 So p q 0 p q p ± q

26 Mathematics 6.5 pq + qp + q q + qp q ± q ve q q q not possible +ve q + q q q / So p q ± 4 Sol 7: A B A B Sol 8: A [a ij ] a ij i j \a () (), a () () 4 a () () 7, a () () a () (), a () () 5 a () (), a () () 0 a () () a a a So A a a a a a a Sol 9: x x y x + z y w 7 Compare elements x x y () y 9 y y 9 7 x + z () y w (7) w 7 w 7 4 (x, y, z, w) (, 7,, 4) Sol 40: X + Y 5 0 9, X Y 6 0 sum of X + Y, X Y X + Y + X Y X X X Y X Y Sol 4: A cos θ cosθsinθ cosθsinθ sin θ cos φ cosφsinφ B cosφsinφ sin θ AB (C ij ) C cos θ cos φ + cosθ sinθ cosφ sinφ C cosθ cosφ (cosθ cosφ + sinθ sinφ) C cosθ cosφ cos(θ φ) 0 Similarly C, C and C will also be zero So AB Sol 4: A, B A

27 6.5 Matrices B A B A B A,I A. I A 8 0 Sol 4: 0 X X s number of row column of 0 4 order of X assume X X X X X4 X5 X6 X X X 0 4 X4 X5 X6 x x4 x x5 x x6 x4 x5 x x 4x4 x 4x5 x 4x x 4, x 5 4, x 6 0 x + 4x 4 0 x + 4() 0 x 0 x x + 4x 5 x + 4(4) 0 x x x 4 x + 4x 6 x + 4(0) 0 x 0 x X X X X 5 X4 X5 X6 4 0 Exercise Single Correct Choice Type Sol : (A) Number of elements in a matrix Number of order matrix can have ( + ) ( + ) ( + ) Sol : (C) A (x) (x + 5) B y ( y) AB and BA both exist for AB x + 5 y for BA y x y 8; x Sol : (D) A is a square invertible matrix A A Multiply A both sides A A A A I A I So A I A I 0 (zero matrix) Sol 4: (B) Total 4 elements all are different Total Number of order that exist 4 Number of way to arrange 4 elements 4! Total not of matrix 4 4 Sol 5: (C) A A (I + A) 4 (I + A + A) [I + A + A] [I + A] ( A A) I + 9A + 6A I + 9A + 6A I + 5A Sol 6: (C) A α β β α Since, A is orthogonal matrix (i) (ii)

28 Mathematics 6.5 So, AA A A I n AA α β α +β 0 a + b β α α β 0 0 α +β 0 x px + q 0 & x + px q 0 β α + β αβ + αβ α αβ + αβ α + β Sum of both equation for common roots x px + q + x + px q 0 x 0 x 0 (i) So if α is roots of x px + q 0 and β is roots of x + px q 0 α + 0 p and α(0) q 0 β + 0 p and β(0) q 0 α p and β p In (i) equation a + b p + ( p) p p ±, q 0 Sol 7: (A) (det A) (det λa) 8 if A s order n n then (det λa) λ n (det A) λ x 8 l n 8 7 l n 7 n λ N So, n Sol 8: (B) A, f(x) + x x I + A I A (I A) det(i A) det (I A) 0 ( ) ( ) 4 0 (I f(a) + A) (I A) Sol 9: (D) A is skew symmetric matrix A T A I A T A (AT) (A) A T A A I Taking square of both sides A 4 I A 4n I ( A I are A A T ) \ A A 4n A I A 4n+ A ( A) I A 4(n + ) ( A)I A T I A I 4n - N A 4n A T Sol 0: (D) A B A, B Tr (A) Tr(B) A A + 4I 0 and B λb + µi 0 if A B, A B Tr A Tr(B) satisfied so A λa + µi 0 µ 4 ( A s order ) Sol : (B) The adjoint of upper triangular matrix is false. That is equal to upper triangular not lower triangular matrix. Sol : (B) A, B, (A + B) are non-singular [A(A + B) B] [A ((A + B) ) B ] (A (A + B) B ) [(A A + A B)B ) [(I + A B)B ) [B + A BB ] A + B Sol : (C) A is an orthogonal matrix A

29 6.54 Matrices AA T A T A I n A A T A T + A ( A is an orthogonal matrix) A T det(a) (adja) (adja) Sol 4: (C) A and B are square matrices of order (A) adj(ab) adj(a) + adj(b) is not necessary option (A) is wrong. + tan x 0 + tan x A T A 0 0 Sol 7: (D) A 5 A ( ) (5) (B) (A + B) A + B (C)AB 0 A, B are square matrix So if AB 0 A B 0 A 0 or B 0 a 0 0 Sol 5: (D) A 0 a a a 0 0 adj(a) 0 a a adj A (a ) a 6 \ A adj (A) a a 6 a 9 A a I a A A 5 Sol 8: (B) P T P T A Assume P P P P P, PT P P 4 P P4 P P P 4 P P T P P 4 P P4 P (adj P) P P P P P P P P P P 4 P P P P P P4 P P P P P P 4 P P Sol 6: (D) A tanx tanx A + tan x A + tan x AT tanx tanx tanx tanx A ( + tan x) Only option (B) cos θ sin θ is correct. sinθ cosθ Sol 9: (A) B r I r > A B r A A B A A B r B A A B A A B A A B A 0 Sol 0: (C) A & B are orthogonal matrices tanx tanx A T A ( + tan x) tanx tanx ( + tan x) ( + tan x) + tan x tanx tanx tanx tanx tan x + + tan x tan x AA T A T A I n and BB T B T B I n AB (AB) (AB) T (AB) (B T A) T A(BB T )A t AIA T AA T I (AB) T (AB) B T A T AB B T IB B T B I n So (AB) T (AB)

30 Mathematics 6.55 ge AB(AB) T I n So, AB also satisfying property of orthogonal Sol : (C) C is an orthogonal matrix CC T C T C I n Tr (C T AC) Tr [(C T A)C] Tr [C(C T A)] Tr (CC T A) Tr (IA) Tr (A) Sol : (C) A and B are idempotent matrices so, A A and B B A, B or AB BA A B is non-singular A and B or A and B 0 Sol : (B) AA T I (A T BA) 0 (A T BA) (A T BA) (A T BA).. A T BIBIBI. BA A T B 0 A 0 c b Sol 4: (C) A c 0 a b a 0 a ab ca B ab b cb ac bc c abc abc b c b c c b bc AB a bc + ab c abc + abc ac + ac a b a b ab ab abc abc AB Sol 5: (C) AB BA, C B (A CA) (A CA) (A CA) A C ICA A - C A A BA A (AB) IB B C Tr(A) a + a + a and det A a a a for maximum of det (A) a a a a + a + a a a a a 4 det A Sol 7: (C) AB B BA A (A + B) (AB + BA) A + B + AB + BA (AB) + (BA) + (AB) (BA) + (BA) (AB) A + B + AB + BA ABAB + BABA + AB + BA A + B AAB + BBA AB + BA A + B A + B Sol 8: (C) A 0, B is column matrix 0 0 (A 8 + A 6 + A 4 + A + I) B A I A 4 A A I A 6 I, A 8 4 I A 8 + A 6 + A 4 + A + I I ( ) I 0 IB 0 B Sol 9: (C) AB BA and A I ABA A(AB) A B IB B Previous Years Questions Sol : (B) + a a a cos(p d)x + cos(p + d)x cospx cos(p + d)x sin(p d)x + sin(p + d)x sinpx sin(p + d)x Sol 6: (D) Tr(A) a 0 0 Assume A 0 a a ( A is diagonal matrix) + a a a cospxcosdx cospx cos(p + d)x sinpxcosdx sinpx sin(p + d)x

31 6.56 Matrices Applying C C cos dxc + a acosdx a a 0 cospx cos(p + d)x 0 sinpx sin(p + d)x ( + a a cos dx) [sin (p+ d) x cos px sin px cos (p + d) x] ( + a a cos dx) sin dx Which is independent of p Sol : (A) x x+ f(x) x x(x ) (x + )x x(x ) x(x )(x ) (x + )x(x ) cos x sin x or sin x cos x cot x / gives no solution in π 4 x π 4 and sin x cos x tan x x π/4 Sol 4: (B) For infinitely many solutions, we must have k + 8 k k+ 4k k k Sol 5: (B) Since, given system has no solution 0 and any one amongst D x, D y, D z is non-zero. Let λ 0 λ Applying C C (C + C ) x 0 x x(x ) 0 0 x(x ) x(x )(x ) 0 f(x) 0 (00) 0 sinx cosx cosx Sol : (C) Given, cosx sinx cosx 0 cosx cosx sinx Applying C C + C + C sinx + cosx cosx cosx sinx + cosx sinx cosx sinx + cosx cosx sinx cosx cosx (cos x+ sin x) sinx cosx 0 cosx sinx Applying R R R, R R R (cos x + sin x) cosx cosx 0 sinx cosx sinx cosx (cos x + sin x) (sin x cos x) 0 cos x + sin x 0 or sin x cos x 0 Sol 6: (A) Now, P T P / / / / / / / / P T P 0 0 P T P I P T P Since, Q PAP T P T Q 005 P P T (PAP T )(PAP T ). 005 times]p T T T T T (P P)A(P P)A(P P)...(P P)A(P P) 005 times IA 005 A 005 [from eq.(i)] A 0 A A A P T Q 005 P (i)

32 Mathematics 6.57 Sol 7: (A) Every square matrix satisfied its characteristic equation i.e. A λ I 0 λ λ 0 4 λ 0 ( λ) {( λ) (4 λ) + } λ 6 0 A 6 A + A 6 I O A 6A + I 6A Sol 8: Since, a, a are the roots of ax + bx + c 0 a + a b a and a a c a Also, b, b are the roots of px + qx + r 0 b + b q p and b b r p Given system of equations a y + a z 0 And b y + b z 0, has non-trivial solution α β α β 0 α α β β Applying componendo-dividendo α +α α α β +β β β (a + a ) (b b ) (a a ) (b + b ) (a + a ) {(b b ) 4b b } (b + b ) {(a + a ) 4a a } From equation (i) and (ii), we get b q 4r a p p bq ap 4b r ap br a qc p b q q b 4c p a a bq ap ac pr 4q c ap (i) (i) (ii) Sol 9: A + (p )D a A + (q )D b A + (r )D c bc ca ab a b c Let p q r abc p q r, [From equation (i)] abc A + (p )D A + (q )D A + (r )D p q r Applying R R (A D) R DR abc p q r bc ca ab p q r Sol 0: Given, f (x) 0 0 ax ax ax + b + b b+ (ax + b) ax + b + ax + b Applying R R R R, We get f (x) ax ax ax + b + b b+ 0 0 ax ax b b+ f (x) ax + b On integrating, we get f(x) ax + bx + c ax b (C C C ) Where c is an arbitrary constant Since, f has maximum at x 5/ (i)

33 6.58 Matrices f (5/) 0 5a + b 0 Also, f(0) c and f() a + b + c (i) (ii) 4π sinqcos sinqcos π+ π sinqcos π sin θ On solving equation (i) and (ii) for a, b, we get a 4, b 5 4 Thus, f(x) 4 x 5 4 x + Sol : sinθ cosθ sinθ π π 4π sinθ+ cosθ+ sinθ+ π π 4π + sin θ + cos θ + sin θ π π 4π sin θ cos θ sin θ π Now, sinθ+ + sin θ π π π π π θ+ +θ θ+ θ+ sin cos π sinθ cos sinθ cos π π sinθ cos π sinθ and cos θ+ π + cos θ π π π π π θ+ +θ θ+ θ+ cos cos cosθ cos π cosθ cosθ and sin 4 θ+ π + sin 4 θ π 4π 4π 4π 4π θ+ + θ θ+ θ+ sin cos sinθ cosθ sinθ sinθ cosθ sinθ π π 4π sinθ cosθ sinθ 0 (since, R and R are proportional) Sol : (B) T T T ( )( ) T T BBT A A A A ( A A ) A. ( A ) T ( ) ( ) ( )( ) T T T T A. A A A. A A AA A T ( ) T ( A A A. A ) A. ( A ) ( A A) T I Sol : (D) T AA 9T a A 9I a b b 9 0 a+ 4+ b a+ b a b a + b a b Equation a b 0 a + b 4... (i) a + b 0 a b... (ii) & a b 0 a + b 5... (iii) Solving a,b 5a b Sol 4: (B) A 5a b T A AadjA AA 5a b b 5a b 5a 5a b 0a + b 0 5a + b 5 b 0 0a + b 5 b Equate, 0a + b 5a + b and 0a + b and 5a b 0

34 Mathematics 6.59 a b k (let) 5 Solving a,b 5 So, 5a + b JEE Advanced/Boards Exercise Sol : (a) A a, (B) (adja), B b a a a S b 5 b b a a a b b b a a b ab b a b b a b a b ab S b a b > a, a B A n A () 9 b ()9 (ab + a b + ) 9 (. (9) ) ( ) (b) A, B (A ) (adj B ) adj(a + ) A adj B adj A 4 4 ( ) 6 8 Sol : A [a ij ], a ij {0,,,, 4} a + a + a + a 4 (i) T r (A) a + a 4 and a, a {0,,,, 4} ()9 9 total possibilities (ii) A is invertible so A 0 a a a a 0 a a a a (4 + ) total way. 7 8 C (iii) A max A min A max a a a a (a a ) max 4 ( a + a + a + a 4) and + ( a. a ) max a a 0 with a a 4 () () So A max () 0 4 A min 0 () 4 A max A min 4 ( 4) 8 (iv) A is symmetric or skew symmetric or both det A is divisible by So det A can be 0,, A 0 0, , 0 0, 0, 0 0 Total no Sol : A 4 A 4 A.. A A A 6 5, A + 0 A 5, A 0 + A 8 4 adja A 4[A ] 4(A) + 5[A ] 4() 4( ) + 5( ) A adja A A

35 6.60 Matrices Sol 4: (a) A 4, B 4 BPA Assume P BPA P P P P P P B BPA PA B 0 0 B 8 9 adjb 4 4 PA A [4 ] [ ] + [ 6 8] 4 adja 0 0, A 0 PAA 4 4 A P P P (b) A 4 5 assume B C 5 B 4 C adjb, B adjc 5, C 9 BAC 4 B BAC AC AC ACC A A Sol 5: A P 0 0 m 8 q r 0 n 5 A A[ A is idempotent matrix] A ( ) + 0 p( ) + p[m 8] pq qr (m 8) q(m 8) + q(n 5) r( ) + r(n + 5) rp (n 5) p 0 0 m 8 q r 0 n 5 compare elements ( ) 0 or ± or ± 4 ± p[l + m 8] p p 0 or l + m rp 0 r 0 or p 0 (n 5) n 5 n 5 or 0 q[(m 8) + n 5] q q 0 or m + n 0 + (m 8) m 8 m 8 or m ± 8 or ± 9 ± if, l m n, q, q, r z S {0, ±, ±, ±4}

36 Mathematics 6.6 Sum of products of elements cosx sinx 0 Sol 6: F(x) sinx cosx F(y) cos y siny 0 siny cos y cosx sinx 0 cos y siny 0 F(x). F(y) sinx cosx 0siny cos y cosxcos y sinxsiny cosxsiny sinxcos y 0 sinxcos y + cosxsiny sinxsiny + cos y cosx cos(x + y) sin(x + y) 0 sin(x + y) cos(x + y) [F(x)] F( x) L. H. S. F(x) cos (x) + sin x cosx sinx 0 adj[f(x)] sinx cosx [F(x)] adjf(x) L. H. S. R. H. S. Hence proved Sol 7: A n [a ij ], B n [b ij ] a ij i + j n, b ij i i n cos( x) sin( x) 0 sin( x) cos( x) 0 F( x) 0 0 l Lim Tr[A + A + A + + n An+. ] n For A n Tr(A) a + a + a (() + ) + () + + () + n n 8 8 Tr( na n) n n n n Tr n An Tr( A ) i n n Tr (B n ) () + () + () n Tr( n B n ) n a n m [Tr( B n )] n l + m + 9 Sol 8: A is matrix A a, all other a ij R R R A R R R 0 0 A R R R R A 0 I 0 0 A I xa + ya + zi I (x + y + z)i (x + y + z) Sol 9: A 0 C, D, Cb D n n C [ ] + [ ] + [ ]

37 6.6 Matrices 0 adjc 0 C C C 0 C Cb C D b b A [6 + ] + [ 6] + [ ] adja A AX b A adja 5 adja X A b X x 4x 7x Sol 0: A 0 0, B 0 0 x 4x x x + 7x 8x 8x 4x 4x AB x x 4x 4x 7x x 5x x 5x AB 5x [5x] 5x (AB) 5x 5x x x + 0x 5x 0 0 5x 5x 0 0 (AB) 0 0 AB 0 0 0x x 5x 5x 5x x / AB (AB) (AB) (AB) (AB) (AB) I Tr[AB+(AB) +(AB) + +(AB) 00 ] Tr[AB+I+AB+I+ +I] Tr[50AB+50I]50 Tr(AB)+50Tr(I) 50[ + ]+50 [++] 50+(50)00 Sol : M n [m ij ]order n i n, m ij 0; i n, m i +, I m i, i + All other entries in Mn are zero 0 0 M 0, M 0[00 9] + [ 0] M 0 0 M D 9D 80 9(9) Sol : A 7 5 & B x + y + z x + y + z 7 AB I x + y + z A 7 5 B

38 Mathematics 6.6 B [6 ] + [ 9] + [ 4] x X B, X 7 + [ 4] x 8, Y 7 4 [6 ] + 7[ ] [ ] + [ 9] + [6 4] x b y z R R + R x y z x b y z 6 b y 4, Z 7 4 [4 7] + [4 6] + [ 4] or Bx C x B C z 4 4 Compare row nd and st x y + z b 9x 6y + z x y + z From equation (i) and (ii) b (i) (ii) (x, y, z) (,, ) For no. solution a and b x Sol : a 7 x 6 y z + D [ 8a 9] [8 5a] + [5 + 6] \ a 4a a + 4a 4 (i) System has a unique solution a 4 4 a and b R (ii) At a has no solution a (iii) Has infinitely solution so a and b so D 0 and D x 0 Sol 4: A 4, B 0, C 4 X X X X X4 (a) AX B I X X 4 X X4 A 4 6 adja 4 4 A so A AX X A (B I) X A adja

Matrices and Determinants

Matrices and Determinants Matrices and Determinants SUBJECTIVE PROBLEMS: Q 1. For what value of k do the following system of equations possess a non-trivial (i.e., not all zero) solution over the set of rationals Q? x + ky + 3z

Διαβάστε περισσότερα

Inverse trigonometric functions & General Solution of Trigonometric Equations. ------------------ ----------------------------- -----------------

Inverse trigonometric functions & General Solution of Trigonometric Equations. ------------------ ----------------------------- ----------------- Inverse trigonometric functions & General Solution of Trigonometric Equations. 1. Sin ( ) = a) b) c) d) Ans b. Solution : Method 1. Ans a: 17 > 1 a) is rejected. w.k.t Sin ( sin ) = d is rejected. If sin

Διαβάστε περισσότερα

Quadratic Expressions

Quadratic Expressions Quadratic Expressions. The standard form of a quadratic equation is ax + bx + c = 0 where a, b, c R and a 0. The roots of ax + bx + c = 0 are b ± b a 4ac. 3. For the equation ax +bx+c = 0, sum of the roots

Διαβάστε περισσότερα

Section 8.3 Trigonometric Equations

Section 8.3 Trigonometric Equations 99 Section 8. Trigonometric Equations Objective 1: Solve Equations Involving One Trigonometric Function. In this section and the next, we will exple how to solving equations involving trigonometric functions.

Διαβάστε περισσότερα

2. THEORY OF EQUATIONS. PREVIOUS EAMCET Bits.

2. THEORY OF EQUATIONS. PREVIOUS EAMCET Bits. EAMCET-. THEORY OF EQUATIONS PREVIOUS EAMCET Bits. Each of the roots of the equation x 6x + 6x 5= are increased by k so that the new transformed equation does not contain term. Then k =... - 4. - Sol.

Διαβάστε περισσότερα

MATHEMATICS. 1. If A and B are square matrices of order 3 such that A = -1, B =3, then 3AB = 1) -9 2) -27 3) -81 4) 81

MATHEMATICS. 1. If A and B are square matrices of order 3 such that A = -1, B =3, then 3AB = 1) -9 2) -27 3) -81 4) 81 1. If A and B are square matrices of order 3 such that A = -1, B =3, then 3AB = 1) -9 2) -27 3) -81 4) 81 We know that KA = A If A is n th Order 3AB =3 3 A. B = 27 1 3 = 81 3 2. If A= 2 1 0 0 2 1 then

Διαβάστε περισσότερα

Example Sheet 3 Solutions

Example Sheet 3 Solutions Example Sheet 3 Solutions. i Regular Sturm-Liouville. ii Singular Sturm-Liouville mixed boundary conditions. iii Not Sturm-Liouville ODE is not in Sturm-Liouville form. iv Regular Sturm-Liouville note

Διαβάστε περισσότερα

MATRICES

MATRICES MARICES 1. Matrix: he arrangement of numbers or letters in the horizontal and vertical lines so that each horizontal line contains same number of elements and each vertical row contains the same numbers

Διαβάστε περισσότερα

SCHOOL OF MATHEMATICAL SCIENCES G11LMA Linear Mathematics Examination Solutions

SCHOOL OF MATHEMATICAL SCIENCES G11LMA Linear Mathematics Examination Solutions SCHOOL OF MATHEMATICAL SCIENCES GLMA Linear Mathematics 00- Examination Solutions. (a) i. ( + 5i)( i) = (6 + 5) + (5 )i = + i. Real part is, imaginary part is. (b) ii. + 5i i ( + 5i)( + i) = ( i)( + i)

Διαβάστε περισσότερα

Chapter 6: Systems of Linear Differential. be continuous functions on the interval

Chapter 6: Systems of Linear Differential. be continuous functions on the interval Chapter 6: Systems of Linear Differential Equations Let a (t), a 2 (t),..., a nn (t), b (t), b 2 (t),..., b n (t) be continuous functions on the interval I. The system of n first-order differential equations

Διαβάστε περισσότερα

Homework 3 Solutions

Homework 3 Solutions Homework 3 Solutions Igor Yanovsky (Math 151A TA) Problem 1: Compute the absolute error and relative error in approximations of p by p. (Use calculator!) a) p π, p 22/7; b) p π, p 3.141. Solution: For

Διαβάστε περισσότερα

3.4 SUM AND DIFFERENCE FORMULAS. NOTE: cos(α+β) cos α + cos β cos(α-β) cos α -cos β

3.4 SUM AND DIFFERENCE FORMULAS. NOTE: cos(α+β) cos α + cos β cos(α-β) cos α -cos β 3.4 SUM AND DIFFERENCE FORMULAS Page Theorem cos(αβ cos α cos β -sin α cos(α-β cos α cos β sin α NOTE: cos(αβ cos α cos β cos(α-β cos α -cos β Proof of cos(α-β cos α cos β sin α Let s use a unit circle

Διαβάστε περισσότερα

EE512: Error Control Coding

EE512: Error Control Coding EE512: Error Control Coding Solution for Assignment on Finite Fields February 16, 2007 1. (a) Addition and Multiplication tables for GF (5) and GF (7) are shown in Tables 1 and 2. + 0 1 2 3 4 0 0 1 2 3

Διαβάστε περισσότερα

Trigonometric Formula Sheet

Trigonometric Formula Sheet Trigonometric Formula Sheet Definition of the Trig Functions Right Triangle Definition Assume that: 0 < θ < or 0 < θ < 90 Unit Circle Definition Assume θ can be any angle. y x, y hypotenuse opposite θ

Διαβάστε περισσότερα

PARTIAL NOTES for 6.1 Trigonometric Identities

PARTIAL NOTES for 6.1 Trigonometric Identities PARTIAL NOTES for 6.1 Trigonometric Identities tanθ = sinθ cosθ cotθ = cosθ sinθ BASIC IDENTITIES cscθ = 1 sinθ secθ = 1 cosθ cotθ = 1 tanθ PYTHAGOREAN IDENTITIES sin θ + cos θ =1 tan θ +1= sec θ 1 + cot

Διαβάστε περισσότερα

CHAPTER 25 SOLVING EQUATIONS BY ITERATIVE METHODS

CHAPTER 25 SOLVING EQUATIONS BY ITERATIVE METHODS CHAPTER 5 SOLVING EQUATIONS BY ITERATIVE METHODS EXERCISE 104 Page 8 1. Find the positive root of the equation x + 3x 5 = 0, correct to 3 significant figures, using the method of bisection. Let f(x) =

Διαβάστε περισσότερα

2 Composition. Invertible Mappings

2 Composition. Invertible Mappings Arkansas Tech University MATH 4033: Elementary Modern Algebra Dr. Marcel B. Finan Composition. Invertible Mappings In this section we discuss two procedures for creating new mappings from old ones, namely,

Διαβάστε περισσότερα

k A = [k, k]( )[a 1, a 2 ] = [ka 1,ka 2 ] 4For the division of two intervals of confidence in R +

k A = [k, k]( )[a 1, a 2 ] = [ka 1,ka 2 ] 4For the division of two intervals of confidence in R + Chapter 3. Fuzzy Arithmetic 3- Fuzzy arithmetic: ~Addition(+) and subtraction (-): Let A = [a and B = [b, b in R If x [a and y [b, b than x+y [a +b +b Symbolically,we write A(+)B = [a (+)[b, b = [a +b

Διαβάστε περισσότερα

Practice Exam 2. Conceptual Questions. 1. State a Basic identity and then verify it. (a) Identity: Solution: One identity is csc(θ) = 1

Practice Exam 2. Conceptual Questions. 1. State a Basic identity and then verify it. (a) Identity: Solution: One identity is csc(θ) = 1 Conceptual Questions. State a Basic identity and then verify it. a) Identity: Solution: One identity is cscθ) = sinθ) Practice Exam b) Verification: Solution: Given the point of intersection x, y) of the

Διαβάστε περισσότερα

Section 7.6 Double and Half Angle Formulas

Section 7.6 Double and Half Angle Formulas 09 Section 7. Double and Half Angle Fmulas To derive the double-angles fmulas, we will use the sum of two angles fmulas that we developed in the last section. We will let α θ and β θ: cos(θ) cos(θ + θ)

Διαβάστε περισσότερα

CHAPTER 48 APPLICATIONS OF MATRICES AND DETERMINANTS

CHAPTER 48 APPLICATIONS OF MATRICES AND DETERMINANTS CHAPTER 48 APPLICATIONS OF MATRICES AND DETERMINANTS EXERCISE 01 Page 545 1. Use matrices to solve: 3x + 4y x + 5y + 7 3x + 4y x + 5y 7 Hence, 3 4 x 0 5 y 7 The inverse of 3 4 5 is: 1 5 4 1 5 4 15 8 3

Διαβάστε περισσότερα

CRASH COURSE IN PRECALCULUS

CRASH COURSE IN PRECALCULUS CRASH COURSE IN PRECALCULUS Shiah-Sen Wang The graphs are prepared by Chien-Lun Lai Based on : Precalculus: Mathematics for Calculus by J. Stuwart, L. Redin & S. Watson, 6th edition, 01, Brooks/Cole Chapter

Διαβάστε περισσότερα

Reminders: linear functions

Reminders: linear functions Reminders: linear functions Let U and V be vector spaces over the same field F. Definition A function f : U V is linear if for every u 1, u 2 U, f (u 1 + u 2 ) = f (u 1 ) + f (u 2 ), and for every u U

Διαβάστε περισσότερα

( ) 2 and compare to M.

( ) 2 and compare to M. Problems and Solutions for Section 4.2 4.9 through 4.33) 4.9 Calculate the square root of the matrix 3!0 M!0 8 Hint: Let M / 2 a!b ; calculate M / 2!b c ) 2 and compare to M. Solution: Given: 3!0 M!0 8

Διαβάστε περισσότερα

Areas and Lengths in Polar Coordinates

Areas and Lengths in Polar Coordinates Kiryl Tsishchanka Areas and Lengths in Polar Coordinates In this section we develop the formula for the area of a region whose boundary is given by a polar equation. We need to use the formula for the

Διαβάστε περισσότερα

Second Order Partial Differential Equations

Second Order Partial Differential Equations Chapter 7 Second Order Partial Differential Equations 7.1 Introduction A second order linear PDE in two independent variables (x, y Ω can be written as A(x, y u x + B(x, y u xy + C(x, y u u u + D(x, y

Διαβάστε περισσότερα

Problem Set 9 Solutions. θ + 1. θ 2 + cotθ ( ) sinθ e iφ is an eigenfunction of the ˆ L 2 operator. / θ 2. φ 2. sin 2 θ φ 2. ( ) = e iφ. = e iφ cosθ.

Problem Set 9 Solutions. θ + 1. θ 2 + cotθ ( ) sinθ e iφ is an eigenfunction of the ˆ L 2 operator. / θ 2. φ 2. sin 2 θ φ 2. ( ) = e iφ. = e iφ cosθ. Chemistry 362 Dr Jean M Standard Problem Set 9 Solutions The ˆ L 2 operator is defined as Verify that the angular wavefunction Y θ,φ) Also verify that the eigenvalue is given by 2! 2 & L ˆ 2! 2 2 θ 2 +

Διαβάστε περισσότερα

Chapter 6: Systems of Linear Differential. be continuous functions on the interval

Chapter 6: Systems of Linear Differential. be continuous functions on the interval Chapter 6: Systems of Linear Differential Equations Let a (t), a 2 (t),..., a nn (t), b (t), b 2 (t),..., b n (t) be continuous functions on the interval I. The system of n first-order differential equations

Διαβάστε περισσότερα

Finite Field Problems: Solutions

Finite Field Problems: Solutions Finite Field Problems: Solutions 1. Let f = x 2 +1 Z 11 [x] and let F = Z 11 [x]/(f), a field. Let Solution: F =11 2 = 121, so F = 121 1 = 120. The possible orders are the divisors of 120. Solution: The

Διαβάστε περισσότερα

Second Order RLC Filters

Second Order RLC Filters ECEN 60 Circuits/Electronics Spring 007-0-07 P. Mathys Second Order RLC Filters RLC Lowpass Filter A passive RLC lowpass filter (LPF) circuit is shown in the following schematic. R L C v O (t) Using phasor

Διαβάστε περισσότερα

COMPLEX NUMBERS. 1. A number of the form.

COMPLEX NUMBERS. 1. A number of the form. COMPLEX NUMBERS SYNOPSIS 1. A number of the form. z = x + iy is said to be complex number x,yєr and i= -1 imaginary number. 2. i 4n =1, n is an integer. 3. In z= x +iy, x is called real part and y is called

Διαβάστε περισσότερα

ANSWERSHEET (TOPIC = DIFFERENTIAL CALCULUS) COLLECTION #2. h 0 h h 0 h h 0 ( ) g k = g 0 + g 1 + g g 2009 =?

ANSWERSHEET (TOPIC = DIFFERENTIAL CALCULUS) COLLECTION #2. h 0 h h 0 h h 0 ( ) g k = g 0 + g 1 + g g 2009 =? Teko Classes IITJEE/AIEEE Maths by SUHAAG SIR, Bhopal, Ph (0755) 3 00 000 www.tekoclasses.com ANSWERSHEET (TOPIC DIFFERENTIAL CALCULUS) COLLECTION # Question Type A.Single Correct Type Q. (A) Sol least

Διαβάστε περισσότερα

Trigonometry 1.TRIGONOMETRIC RATIOS

Trigonometry 1.TRIGONOMETRIC RATIOS Trigonometry.TRIGONOMETRIC RATIOS. If a ray OP makes an angle with the positive direction of X-axis then y x i) Sin ii) cos r r iii) tan x y (x 0) iv) cot y x (y 0) y P v) sec x r (x 0) vi) cosec y r (y

Διαβάστε περισσότερα

If we restrict the domain of y = sin x to [ π, π ], the restrict function. y = sin x, π 2 x π 2

If we restrict the domain of y = sin x to [ π, π ], the restrict function. y = sin x, π 2 x π 2 Chapter 3. Analytic Trigonometry 3.1 The inverse sine, cosine, and tangent functions 1. Review: Inverse function (1) f 1 (f(x)) = x for every x in the domain of f and f(f 1 (x)) = x for every x in the

Διαβάστε περισσότερα

Tridiagonal matrices. Gérard MEURANT. October, 2008

Tridiagonal matrices. Gérard MEURANT. October, 2008 Tridiagonal matrices Gérard MEURANT October, 2008 1 Similarity 2 Cholesy factorizations 3 Eigenvalues 4 Inverse Similarity Let α 1 ω 1 β 1 α 2 ω 2 T =......... β 2 α 1 ω 1 β 1 α and β i ω i, i = 1,...,

Διαβάστε περισσότερα

Review Test 3. MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.

Review Test 3. MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Review Test MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Find the exact value of the expression. 1) sin - 11π 1 1) + - + - - ) sin 11π 1 ) ( -

Διαβάστε περισσότερα

TRIGONOMETRIC FUNCTIONS

TRIGONOMETRIC FUNCTIONS Chapter TRIGONOMETRIC FUNCTIONS. Overview.. The word trigonometry is derived from the Greek words trigon and metron which means measuring the sides of a triangle. An angle is the amount of rotation of

Διαβάστε περισσότερα

= λ 1 1 e. = λ 1 =12. has the properties e 1. e 3,V(Y

= λ 1 1 e. = λ 1 =12. has the properties e 1. e 3,V(Y Stat 50 Homework Solutions Spring 005. (a λ λ λ 44 (b trace( λ + λ + λ 0 (c V (e x e e λ e e λ e (λ e by definition, the eigenvector e has the properties e λ e and e e. (d λ e e + λ e e + λ e e 8 6 4 4

Διαβάστε περισσότερα

If we restrict the domain of y = sin x to [ π 2, π 2

If we restrict the domain of y = sin x to [ π 2, π 2 Chapter 3. Analytic Trigonometry 3.1 The inverse sine, cosine, and tangent functions 1. Review: Inverse function (1) f 1 (f(x)) = x for every x in the domain of f and f(f 1 (x)) = x for every x in the

Διαβάστε περισσότερα

Exercises 10. Find a fundamental matrix of the given system of equations. Also find the fundamental matrix Φ(t) satisfying Φ(0) = I. 1.

Exercises 10. Find a fundamental matrix of the given system of equations. Also find the fundamental matrix Φ(t) satisfying Φ(0) = I. 1. Exercises 0 More exercises are available in Elementary Differential Equations. If you have a problem to solve any of them, feel free to come to office hour. Problem Find a fundamental matrix of the given

Διαβάστε περισσότερα

Numerical Analysis FMN011

Numerical Analysis FMN011 Numerical Analysis FMN011 Carmen Arévalo Lund University carmen@maths.lth.se Lecture 12 Periodic data A function g has period P if g(x + P ) = g(x) Model: Trigonometric polynomial of order M T M (x) =

Διαβάστε περισσότερα

SOLVING CUBICS AND QUARTICS BY RADICALS

SOLVING CUBICS AND QUARTICS BY RADICALS SOLVING CUBICS AND QUARTICS BY RADICALS The purpose of this handout is to record the classical formulas expressing the roots of degree three and degree four polynomials in terms of radicals. We begin with

Διαβάστε περισσότερα

Areas and Lengths in Polar Coordinates

Areas and Lengths in Polar Coordinates Kiryl Tsishchanka Areas and Lengths in Polar Coordinates In this section we develop the formula for the area of a region whose boundary is given by a polar equation. We need to use the formula for the

Διαβάστε περισσότερα

Concrete Mathematics Exercises from 30 September 2016

Concrete Mathematics Exercises from 30 September 2016 Concrete Mathematics Exercises from 30 September 2016 Silvio Capobianco Exercise 1.7 Let H(n) = J(n + 1) J(n). Equation (1.8) tells us that H(2n) = 2, and H(2n+1) = J(2n+2) J(2n+1) = (2J(n+1) 1) (2J(n)+1)

Διαβάστε περισσότερα

Congruence Classes of Invertible Matrices of Order 3 over F 2

Congruence Classes of Invertible Matrices of Order 3 over F 2 International Journal of Algebra, Vol. 8, 24, no. 5, 239-246 HIKARI Ltd, www.m-hikari.com http://dx.doi.org/.2988/ija.24.422 Congruence Classes of Invertible Matrices of Order 3 over F 2 Ligong An and

Διαβάστε περισσότερα

Homework 8 Model Solution Section

Homework 8 Model Solution Section MATH 004 Homework Solution Homework 8 Model Solution Section 14.5 14.6. 14.5. Use the Chain Rule to find dz where z cosx + 4y), x 5t 4, y 1 t. dz dx + dy y sinx + 4y)0t + 4) sinx + 4y) 1t ) 0t + 4t ) sinx

Διαβάστε περισσότερα

6.3 Forecasting ARMA processes

6.3 Forecasting ARMA processes 122 CHAPTER 6. ARMA MODELS 6.3 Forecasting ARMA processes The purpose of forecasting is to predict future values of a TS based on the data collected to the present. In this section we will discuss a linear

Διαβάστε περισσότερα

Απόκριση σε Μοναδιαία Ωστική Δύναμη (Unit Impulse) Απόκριση σε Δυνάμεις Αυθαίρετα Μεταβαλλόμενες με το Χρόνο. Απόστολος Σ.

Απόκριση σε Μοναδιαία Ωστική Δύναμη (Unit Impulse) Απόκριση σε Δυνάμεις Αυθαίρετα Μεταβαλλόμενες με το Χρόνο. Απόστολος Σ. Απόκριση σε Δυνάμεις Αυθαίρετα Μεταβαλλόμενες με το Χρόνο The time integral of a force is referred to as impulse, is determined by and is obtained from: Newton s 2 nd Law of motion states that the action

Διαβάστε περισσότερα

HOMEWORK 4 = G. In order to plot the stress versus the stretch we define a normalized stretch:

HOMEWORK 4 = G. In order to plot the stress versus the stretch we define a normalized stretch: HOMEWORK 4 Problem a For the fast loading case, we want to derive the relationship between P zz and λ z. We know that the nominal stress is expressed as: P zz = ψ λ z where λ z = λ λ z. Therefore, applying

Διαβάστε περισσότερα

Partial Differential Equations in Biology The boundary element method. March 26, 2013

Partial Differential Equations in Biology The boundary element method. March 26, 2013 The boundary element method March 26, 203 Introduction and notation The problem: u = f in D R d u = ϕ in Γ D u n = g on Γ N, where D = Γ D Γ N, Γ D Γ N = (possibly, Γ D = [Neumann problem] or Γ N = [Dirichlet

Διαβάστε περισσότερα

Fourier Series. MATH 211, Calculus II. J. Robert Buchanan. Spring Department of Mathematics

Fourier Series. MATH 211, Calculus II. J. Robert Buchanan. Spring Department of Mathematics Fourier Series MATH 211, Calculus II J. Robert Buchanan Department of Mathematics Spring 2018 Introduction Not all functions can be represented by Taylor series. f (k) (c) A Taylor series f (x) = (x c)

Διαβάστε περισσότερα

Srednicki Chapter 55

Srednicki Chapter 55 Srednicki Chapter 55 QFT Problems & Solutions A. George August 3, 03 Srednicki 55.. Use equations 55.3-55.0 and A i, A j ] = Π i, Π j ] = 0 (at equal times) to verify equations 55.-55.3. This is our third

Διαβάστε περισσότερα

Math221: HW# 1 solutions

Math221: HW# 1 solutions Math: HW# solutions Andy Royston October, 5 7.5.7, 3 rd Ed. We have a n = b n = a = fxdx = xdx =, x cos nxdx = x sin nx n sin nxdx n = cos nx n = n n, x sin nxdx = x cos nx n + cos nxdx n cos n = + sin

Διαβάστε περισσότερα

4.6 Autoregressive Moving Average Model ARMA(1,1)

4.6 Autoregressive Moving Average Model ARMA(1,1) 84 CHAPTER 4. STATIONARY TS MODELS 4.6 Autoregressive Moving Average Model ARMA(,) This section is an introduction to a wide class of models ARMA(p,q) which we will consider in more detail later in this

Διαβάστε περισσότερα

Lecture 2: Dirac notation and a review of linear algebra Read Sakurai chapter 1, Baym chatper 3

Lecture 2: Dirac notation and a review of linear algebra Read Sakurai chapter 1, Baym chatper 3 Lecture 2: Dirac notation and a review of linear algebra Read Sakurai chapter 1, Baym chatper 3 1 State vector space and the dual space Space of wavefunctions The space of wavefunctions is the set of all

Διαβάστε περισσότερα

Phys460.nb Solution for the t-dependent Schrodinger s equation How did we find the solution? (not required)

Phys460.nb Solution for the t-dependent Schrodinger s equation How did we find the solution? (not required) Phys460.nb 81 ψ n (t) is still the (same) eigenstate of H But for tdependent H. The answer is NO. 5.5.5. Solution for the tdependent Schrodinger s equation If we assume that at time t 0, the electron starts

Διαβάστε περισσότερα

Ordinal Arithmetic: Addition, Multiplication, Exponentiation and Limit

Ordinal Arithmetic: Addition, Multiplication, Exponentiation and Limit Ordinal Arithmetic: Addition, Multiplication, Exponentiation and Limit Ting Zhang Stanford May 11, 2001 Stanford, 5/11/2001 1 Outline Ordinal Classification Ordinal Addition Ordinal Multiplication Ordinal

Διαβάστε περισσότερα

Approximation of distance between locations on earth given by latitude and longitude

Approximation of distance between locations on earth given by latitude and longitude Approximation of distance between locations on earth given by latitude and longitude Jan Behrens 2012-12-31 In this paper we shall provide a method to approximate distances between two points on earth

Διαβάστε περισσότερα

forms This gives Remark 1. How to remember the above formulas: Substituting these into the equation we obtain with

forms This gives Remark 1. How to remember the above formulas: Substituting these into the equation we obtain with Week 03: C lassification of S econd- Order L inear Equations In last week s lectures we have illustrated how to obtain the general solutions of first order PDEs using the method of characteristics. We

Διαβάστε περισσότερα

6.1. Dirac Equation. Hamiltonian. Dirac Eq.

6.1. Dirac Equation. Hamiltonian. Dirac Eq. 6.1. Dirac Equation Ref: M.Kaku, Quantum Field Theory, Oxford Univ Press (1993) η μν = η μν = diag(1, -1, -1, -1) p 0 = p 0 p = p i = -p i p μ p μ = p 0 p 0 + p i p i = E c 2 - p 2 = (m c) 2 H = c p 2

Διαβάστε περισσότερα

CHAPTER 101 FOURIER SERIES FOR PERIODIC FUNCTIONS OF PERIOD

CHAPTER 101 FOURIER SERIES FOR PERIODIC FUNCTIONS OF PERIOD CHAPTER FOURIER SERIES FOR PERIODIC FUNCTIONS OF PERIOD EXERCISE 36 Page 66. Determine the Fourier series for the periodic function: f(x), when x +, when x which is periodic outside this rge of period.

Διαβάστε περισσότερα

w o = R 1 p. (1) R = p =. = 1

w o = R 1 p. (1) R = p =. = 1 Πανεπιστήµιο Κρήτης - Τµήµα Επιστήµης Υπολογιστών ΗΥ-570: Στατιστική Επεξεργασία Σήµατος 205 ιδάσκων : Α. Μουχτάρης Τριτη Σειρά Ασκήσεων Λύσεις Ασκηση 3. 5.2 (a) From the Wiener-Hopf equation we have:

Διαβάστε περισσότερα

Every set of first-order formulas is equivalent to an independent set

Every set of first-order formulas is equivalent to an independent set Every set of first-order formulas is equivalent to an independent set May 6, 2008 Abstract A set of first-order formulas, whatever the cardinality of the set of symbols, is equivalent to an independent

Διαβάστε περισσότερα

Mock Exam 7. 1 Hong Kong Educational Publishing Company. Section A 1. Reference: HKDSE Math M Q2 (a) (1 + kx) n 1M + 1A = (1) =

Mock Exam 7. 1 Hong Kong Educational Publishing Company. Section A 1. Reference: HKDSE Math M Q2 (a) (1 + kx) n 1M + 1A = (1) = Mock Eam 7 Mock Eam 7 Section A. Reference: HKDSE Math M 0 Q (a) ( + k) n nn ( )( k) + nk ( ) + + nn ( ) k + nk + + + A nk... () nn ( ) k... () From (), k...() n Substituting () into (), nn ( ) n 76n 76n

Διαβάστε περισσότερα

Fractional Colorings and Zykov Products of graphs

Fractional Colorings and Zykov Products of graphs Fractional Colorings and Zykov Products of graphs Who? Nichole Schimanski When? July 27, 2011 Graphs A graph, G, consists of a vertex set, V (G), and an edge set, E(G). V (G) is any finite set E(G) is

Διαβάστε περισσότερα

Differential equations

Differential equations Differential equations Differential equations: An equation inoling one dependent ariable and its deriaties w. r. t one or more independent ariables is called a differential equation. Order of differential

Διαβάστε περισσότερα

Solutions to Exercise Sheet 5

Solutions to Exercise Sheet 5 Solutions to Eercise Sheet 5 jacques@ucsd.edu. Let X and Y be random variables with joint pdf f(, y) = 3y( + y) where and y. Determine each of the following probabilities. Solutions. a. P (X ). b. P (X

Διαβάστε περισσότερα

C.S. 430 Assignment 6, Sample Solutions

C.S. 430 Assignment 6, Sample Solutions C.S. 430 Assignment 6, Sample Solutions Paul Liu November 15, 2007 Note that these are sample solutions only; in many cases there were many acceptable answers. 1 Reynolds Problem 10.1 1.1 Normal-order

Διαβάστε περισσότερα

1. If log x 2 y 2 = a, then dy / dx = x 2 + y 2 1] xy 2] y / x. 3] x / y 4] none of these

1. If log x 2 y 2 = a, then dy / dx = x 2 + y 2 1] xy 2] y / x. 3] x / y 4] none of these 1. If log x 2 y 2 = a, then dy / dx = x 2 + y 2 1] xy 2] y / x 3] x / y 4] none of these 1. If log x 2 y 2 = a, then x 2 + y 2 Solution : Take y /x = k y = k x dy/dx = k dy/dx = y / x Answer : 2] y / x

Διαβάστε περισσότερα

ST5224: Advanced Statistical Theory II

ST5224: Advanced Statistical Theory II ST5224: Advanced Statistical Theory II 2014/2015: Semester II Tutorial 7 1. Let X be a sample from a population P and consider testing hypotheses H 0 : P = P 0 versus H 1 : P = P 1, where P j is a known

Διαβάστε περισσότερα

Solution Series 9. i=1 x i and i=1 x i.

Solution Series 9. i=1 x i and i=1 x i. Lecturer: Prof. Dr. Mete SONER Coordinator: Yilin WANG Solution Series 9 Q1. Let α, β >, the p.d.f. of a beta distribution with parameters α and β is { Γ(α+β) Γ(α)Γ(β) f(x α, β) xα 1 (1 x) β 1 for < x

Διαβάστε περισσότερα

Statistical Inference I Locally most powerful tests

Statistical Inference I Locally most powerful tests Statistical Inference I Locally most powerful tests Shirsendu Mukherjee Department of Statistics, Asutosh College, Kolkata, India. shirsendu st@yahoo.co.in So far we have treated the testing of one-sided

Διαβάστε περισσότερα

Problem 1.1 For y = a + bx, y = 4 when x = 0, hence a = 4. When x increases by 4, y increases by 4b, hence b = 5 and y = 4 + 5x.

Problem 1.1 For y = a + bx, y = 4 when x = 0, hence a = 4. When x increases by 4, y increases by 4b, hence b = 5 and y = 4 + 5x. Appendix B: Solutions to Problems Problem 1.1 For y a + bx, y 4 when x, hence a 4. When x increases by 4, y increases by 4b, hence b 5 and y 4 + 5x. Problem 1. The plus sign indicates that y increases

Διαβάστε περισσότερα

ΚΥΠΡΙΑΚΗ ΕΤΑΙΡΕΙΑ ΠΛΗΡΟΦΟΡΙΚΗΣ CYPRUS COMPUTER SOCIETY ΠΑΓΚΥΠΡΙΟΣ ΜΑΘΗΤΙΚΟΣ ΔΙΑΓΩΝΙΣΜΟΣ ΠΛΗΡΟΦΟΡΙΚΗΣ 19/5/2007

ΚΥΠΡΙΑΚΗ ΕΤΑΙΡΕΙΑ ΠΛΗΡΟΦΟΡΙΚΗΣ CYPRUS COMPUTER SOCIETY ΠΑΓΚΥΠΡΙΟΣ ΜΑΘΗΤΙΚΟΣ ΔΙΑΓΩΝΙΣΜΟΣ ΠΛΗΡΟΦΟΡΙΚΗΣ 19/5/2007 Οδηγίες: Να απαντηθούν όλες οι ερωτήσεις. Αν κάπου κάνετε κάποιες υποθέσεις να αναφερθούν στη σχετική ερώτηση. Όλα τα αρχεία που αναφέρονται στα προβλήματα βρίσκονται στον ίδιο φάκελο με το εκτελέσιμο

Διαβάστε περισσότερα

Optimal Parameter in Hermitian and Skew-Hermitian Splitting Method for Certain Two-by-Two Block Matrices

Optimal Parameter in Hermitian and Skew-Hermitian Splitting Method for Certain Two-by-Two Block Matrices Optimal Parameter in Hermitian and Skew-Hermitian Splitting Method for Certain Two-by-Two Block Matrices Chi-Kwong Li Department of Mathematics The College of William and Mary Williamsburg, Virginia 23187-8795

Διαβάστε περισσότερα

Section 9.2 Polar Equations and Graphs

Section 9.2 Polar Equations and Graphs 180 Section 9. Polar Equations and Graphs In this section, we will be graphing polar equations on a polar grid. In the first few examples, we will write the polar equation in rectangular form to help identify

Διαβάστε περισσότερα

IIT JEE (2013) (Trigonomtery 1) Solutions

IIT JEE (2013) (Trigonomtery 1) Solutions L.K. Gupta (Mathematic Classes) www.pioeermathematics.com MOBILE: 985577, 677 (+) PAPER B IIT JEE (0) (Trigoomtery ) Solutios TOWARDS IIT JEE IS NOT A JOURNEY, IT S A BATTLE, ONLY THE TOUGHEST WILL SURVIVE

Διαβάστε περισσότερα

derivation of the Laplacian from rectangular to spherical coordinates

derivation of the Laplacian from rectangular to spherical coordinates derivation of the Laplacian from rectangular to spherical coordinates swapnizzle 03-03- :5:43 We begin by recognizing the familiar conversion from rectangular to spherical coordinates (note that φ is used

Διαβάστε περισσότερα

MathCity.org Merging man and maths

MathCity.org Merging man and maths MathCity.org Merging man and maths Exercise 10. (s) Page Textbook of Algebra and Trigonometry for Class XI Available online @, Version:.0 Question # 1 Find the values of sin, and tan when: 1 π (i) (ii)

Διαβάστε περισσότερα

Jesse Maassen and Mark Lundstrom Purdue University November 25, 2013

Jesse Maassen and Mark Lundstrom Purdue University November 25, 2013 Notes on Average Scattering imes and Hall Factors Jesse Maassen and Mar Lundstrom Purdue University November 5, 13 I. Introduction 1 II. Solution of the BE 1 III. Exercises: Woring out average scattering

Διαβάστε περισσότερα

Math 6 SL Probability Distributions Practice Test Mark Scheme

Math 6 SL Probability Distributions Practice Test Mark Scheme Math 6 SL Probability Distributions Practice Test Mark Scheme. (a) Note: Award A for vertical line to right of mean, A for shading to right of their vertical line. AA N (b) evidence of recognizing symmetry

Διαβάστε περισσότερα

( y) Partial Differential Equations

( y) Partial Differential Equations Partial Dierential Equations Linear P.D.Es. contains no owers roducts o the deendent variables / an o its derivatives can occasionall be solved. Consider eamle ( ) a (sometimes written as a ) we can integrate

Διαβάστε περισσότερα

Answers - Worksheet A ALGEBRA PMT. 1 a = 7 b = 11 c = 1 3. e = 0.1 f = 0.3 g = 2 h = 10 i = 3 j = d = k = 3 1. = 1 or 0.5 l =

Answers - Worksheet A ALGEBRA PMT. 1 a = 7 b = 11 c = 1 3. e = 0.1 f = 0.3 g = 2 h = 10 i = 3 j = d = k = 3 1. = 1 or 0.5 l = C ALGEBRA Answers - Worksheet A a 7 b c d e 0. f 0. g h 0 i j k 6 8 or 0. l or 8 a 7 b 0 c 7 d 6 e f g 6 h 8 8 i 6 j k 6 l a 9 b c d 9 7 e 00 0 f 8 9 a b 7 7 c 6 d 9 e 6 6 f 6 8 g 9 h 0 0 i j 6 7 7 k 9

Διαβάστε περισσότερα

Pg The perimeter is P = 3x The area of a triangle is. where b is the base, h is the height. In our case b = x, then the area is

Pg The perimeter is P = 3x The area of a triangle is. where b is the base, h is the height. In our case b = x, then the area is Pg. 9. The perimeter is P = The area of a triangle is A = bh where b is the base, h is the height 0 h= btan 60 = b = b In our case b =, then the area is A = = 0. By Pythagorean theorem a + a = d a a =

Διαβάστε περισσότερα

Other Test Constructions: Likelihood Ratio & Bayes Tests

Other Test Constructions: Likelihood Ratio & Bayes Tests Other Test Constructions: Likelihood Ratio & Bayes Tests Side-Note: So far we have seen a few approaches for creating tests such as Neyman-Pearson Lemma ( most powerful tests of H 0 : θ = θ 0 vs H 1 :

Διαβάστε περισσότερα

Differentiation exercise show differential equation

Differentiation exercise show differential equation Differentiation exercise show differential equation 1. If y x sin 2x, prove that x d2 y 2 2 + 2y x + 4xy 0 y x sin 2x sin 2x + 2x cos 2x 2 2cos 2x + (2 cos 2x 4x sin 2x) x d2 y 2 2 + 2y x + 4xy (2x cos

Διαβάστε περισσότερα

L.K.Gupta (Mathematic Classes) www.pioeermathematics.com MOBILE: 985577, 4677 + {JEE Mai 04} Sept 0 Name: Batch (Day) Phoe No. IT IS NOT ENOUGH TO HAVE A GOOD MIND, THE MAIN THING IS TO USE IT WELL Marks:

Διαβάστε περισσότερα

New bounds for spherical two-distance sets and equiangular lines

New bounds for spherical two-distance sets and equiangular lines New bounds for spherical two-distance sets and equiangular lines Michigan State University Oct 8-31, 016 Anhui University Definition If X = {x 1, x,, x N } S n 1 (unit sphere in R n ) and x i, x j = a

Διαβάστε περισσότερα

1 String with massive end-points

1 String with massive end-points 1 String with massive end-points Πρόβλημα 5.11:Θεωρείστε μια χορδή μήκους, τάσης T, με δύο σημειακά σωματίδια στα άκρα της, το ένα μάζας m, και το άλλο μάζας m. α) Μελετώντας την κίνηση των άκρων βρείτε

Διαβάστε περισσότερα

TMA4115 Matematikk 3

TMA4115 Matematikk 3 TMA4115 Matematikk 3 Andrew Stacey Norges Teknisk-Naturvitenskapelige Universitet Trondheim Spring 2010 Lecture 12: Mathematics Marvellous Matrices Andrew Stacey Norges Teknisk-Naturvitenskapelige Universitet

Διαβάστε περισσότερα

Strain gauge and rosettes

Strain gauge and rosettes Strain gauge and rosettes Introduction A strain gauge is a device which is used to measure strain (deformation) on an object subjected to forces. Strain can be measured using various types of devices classified

Διαβάστε περισσότερα

Answer sheet: Third Midterm for Math 2339

Answer sheet: Third Midterm for Math 2339 Answer sheet: Third Midterm for Math 339 November 3, Problem. Calculate the iterated integrals (Simplify as much as possible) (a) e sin(x) dydx y e sin(x) dydx y sin(x) ln y ( cos(x)) ye y dx sin(x)(lne

Διαβάστε περισσότερα

A Note on Intuitionistic Fuzzy. Equivalence Relation

A Note on Intuitionistic Fuzzy. Equivalence Relation International Mathematical Forum, 5, 2010, no. 67, 3301-3307 A Note on Intuitionistic Fuzzy Equivalence Relation D. K. Basnet Dept. of Mathematics, Assam University Silchar-788011, Assam, India dkbasnet@rediffmail.com

Διαβάστε περισσότερα

= {{D α, D α }, D α }. = [D α, 4iσ µ α α D α µ ] = 4iσ µ α α [Dα, D α ] µ.

= {{D α, D α }, D α }. = [D α, 4iσ µ α α D α µ ] = 4iσ µ α α [Dα, D α ] µ. PHY 396 T: SUSY Solutions for problem set #1. Problem 2(a): First of all, [D α, D 2 D α D α ] = {D α, D α }D α D α {D α, D α } = {D α, D α }D α + D α {D α, D α } (S.1) = {{D α, D α }, D α }. Second, {D

Διαβάστε περισσότερα

Econ 2110: Fall 2008 Suggested Solutions to Problem Set 8 questions or comments to Dan Fetter 1

Econ 2110: Fall 2008 Suggested Solutions to Problem Set 8  questions or comments to Dan Fetter 1 Eon : Fall 8 Suggested Solutions to Problem Set 8 Email questions or omments to Dan Fetter Problem. Let X be a salar with density f(x, θ) (θx + θ) [ x ] with θ. (a) Find the most powerful level α test

Διαβάστε περισσότερα

Solution to Review Problems for Midterm III

Solution to Review Problems for Midterm III Solution to Review Problems for Mierm III Mierm III: Friday, November 19 in class Topics:.8-.11, 4.1,4. 1. Find the derivative of the following functions and simplify your answers. (a) x(ln(4x)) +ln(5

Διαβάστε περισσότερα

Chapter 1 Complex numbers

Chapter 1 Complex numbers Complex numbers MC Qld- Chapter Complex numbers Exercise A Operations on and representations of complex numbers a u ( i) 8i b u + v ( i) + ( + i) + i c u + v ( i) + ( + i) i + + i + 8i d u v ( i) ( + i)

Διαβάστε περισσότερα

Nowhere-zero flows Let be a digraph, Abelian group. A Γ-circulation in is a mapping : such that, where, and : tail in X, head in

Nowhere-zero flows Let be a digraph, Abelian group. A Γ-circulation in is a mapping : such that, where, and : tail in X, head in Nowhere-zero flows Let be a digraph, Abelian group. A Γ-circulation in is a mapping : such that, where, and : tail in X, head in : tail in X, head in A nowhere-zero Γ-flow is a Γ-circulation such that

Διαβάστε περισσότερα

F-TF Sum and Difference angle

F-TF Sum and Difference angle F-TF Sum and Difference angle formulas Alignments to Content Standards: F-TF.C.9 Task In this task, you will show how all of the sum and difference angle formulas can be derived from a single formula when

Διαβάστε περισσότερα

DESIGN OF MACHINERY SOLUTION MANUAL h in h 4 0.

DESIGN OF MACHINERY SOLUTION MANUAL h in h 4 0. DESIGN OF MACHINERY SOLUTION MANUAL -7-1! PROBLEM -7 Statement: Design a double-dwell cam to move a follower from to 25 6, dwell for 12, fall 25 and dwell for the remader The total cycle must take 4 sec

Διαβάστε περισσότερα