A Discontinuous Sturm-Liouville Operator With Indefinite Weight

Μέγεθος: px
Εμφάνιση ξεκινά από τη σελίδα:

Download "A Discontinuous Sturm-Liouville Operator With Indefinite Weight"

Transcript

1 Journal of Mathematics Research Vol., No. 3; August A Discontinuous Sturm-Liouville Operator With Indefinite Weight Qiuxia Yang (Corresponding author) Mathematics Science college, Inner Mongolia University 35 University of West Street, Huhhot, China & Department of Computer, Dezhou University University Street, Dezhou 53, China dlzxyanglixia@63.com Wanyi Wang Mathematics Science college, Inner Mongolia University 35 University of West Street, Huhhot, China Tel: wwy@imu.edu.cn The research is financed by the Natural Science Foundation of China and the National Natural Science Foundation of Neimongo. No. 668 and 7 (Sponsoring information) Abstract In this paper, we consider an indefinite Sturm-Liouville operator with eigenparameter-dependent boundary conditions and transmission conditions. In an appropriate space K, we define a new self-adjoint operator A such that the eigenvalues of A coincide with those of such a problem and obtain asymptotic approximation for its eigenvalues and eigenfunctions. Keywords: Indefinite Sturm-Liouville operator, Eigenvalue, Eigenfunction, Transmission condition. Introduction In recent years, more and more researchers are interested in the discontinuous Sturm-Liouville problem for its application in physics (Demirci M.,, p.-3 and Buschmann D., 995, p.69-86). The various physics applications of this kind of problem are found in many literature, including some boundary value with transmission conditions that arise in the theory of heat and mass transfer (Aiping W., 6, p.66-7 and Akdoğan Z., 7, p ). Here we consider a discontinuous Sturm-Liouville problem with the indefinite weight function r(x). By using the technics of (Kadakal M., 5, p.9-5 and Kadakal M., 6, p.59-58) and some new approaches, we define a new linear operator A associated with the problem on an appropriate Krein space K. We discuss its eigenvalues and eigenfunctions, and derive asymptotic approximation formulas for eigenvalues and eigenfunctions. In this study, we consider a discontinuous eigenvalue problem consisting of indefinite Sturm-Liouville equation lu := (a(x)u (x)) + q(x)u(x) = λr(x)u(x), x I () where I = [, ) (, ], a(x) = a for x [, ) and a(x) = a for x (, ],, a are positive real constants, xr(x) > a.e., r(x), q(x) L [I, R], and λ C is a complex eigenparameter; with the eigenparameter-dependent boundary conditions at the endpoints and the transmission conditions at the point of discontinuity l u := λ(α u() α u ()) (α u() α u ()) = () l u := λ(β u() β u ()) + (β u() β u ()) = (3) l 3 u := u(+) α 3 u( ) β 3 u ( ) = () l u := u (+) α u( ) β u ( ) = (5) where the coefficients α i, β i, α j and β j (i =, and j =, ) are real numbers. Throughout this paper, we assume that = α 3 β 3 α β >, ρ = α α α α, ρ = β β β β Published by Canadian Center of Science and Education 6

2 Journal of Mathematics Research Vol., No. 3; August We define the inner product in L r (I)as [ f, g] = f a g rdx + f a g rdx, f, g L r (I) where f (x) = f (x) [,) and f (x) = f (x) (,]. Obviously (Lr (I), [, ] ) is a Krein space.. An operator formulation in the adequate Krein space In this section, we introduce the special inner product in Krein space K := Lr (I) C ρ C ρ and a symmetric operator A defined on K such that ()-(5). Namely, we define an inner product on K by [F, G] := f a g rdx + f a g rdx + h, k + q, s (6) ρ ρ for F := ( f, h, q), G := (g, k, s) K. Then (Lr (I) C ρ C ρ, [, ]) is a Krein space, which we denote by Lr (I) C ρ C ρ. A fundamental symmetry on the Krein space is given by J J := sgnρ sgnρ where sgnρ i {, }, (i =, ) and J : L r (I) L r (I) is defined by (J f )(x) = f (x)sgn(r(x)), x [, ] Let, = [J, ], then, is a positive definite inner product which turns K into a Hilbert space H = (L r (I) C ρ C ρ, [J, ]). We define the operator A in K as follows: D(A) = {( f (x), h, q) K f, f AC loc((, )), f, f AC loc((, )), lf L r (I) l 3 f = l f =, h = α f () α f (), q = β f () β f ()} AF = (lf,α f () α f (), (β f () β f ())) for F = ( f,α f () α f (),β f () β f ()) D(A) For convenience, for ( f, h, q) D(A), set N ( f ) = α f () α f (), N ( f ) = α f () α f () N ( f ) = β f () β f (), N ( f ) = β f () β f () Now we can rewrite the considered problem ()-(5) in the operator form AF = λrf. Lemma. The eigenvalues and eigenfunctions of the problem ()-(5) are defined as the eigenvalues and the first components of the corresponding eigenelements of the operator A, respectively. Lemma. The domain D(A) is dense in H. Proof: Let F = ( f (x), h, q) H, F D(A) and C be a functional set such that { ϕ (x), x [, ) ϕ(x) = ϕ (x), x (, ] where ϕ (x) C [, ) and ϕ (x) C (, ]. Since C D(A) ( C), any U = (u(x),, ) C is orthogonal to F, namely F, U = f a u r dx + f a u r dx = f, u This implies that f (x) is orthogonal to C in L r (I) and hence f (x) =. Next suppose that G = (g(x), k, ) D(A), then F, G = ρ hk,soh =. Similarly we have q =. So F = (,, ). Hence, D(A) is dense in H. Theorem.3 The linear operator A is self-adjoint in K. Proof: The operator A is self-adjoint in Krein space K if and only if the operator JA is self-adjoint in Hilbert space H. For all F, G D(A). By two partial integrations we obtain [AF, G] = [F, AG] + W( f, g; ) W( f, g; ) + W( f, g;) W( f, g;+) 6 ISSN E-ISSN

3 Journal of Mathematics Research Vol., No. 3; August + (N ( f )N ρ (g) N ( f )N (g)) + (N ρ ( f )N (g) N ( f )N (g)) where, as usual, by W( f, g; x) we denote the Wronskians f (x)g (x) f (x)g(x). Since f and g satisfy the boundary conditions ()-(3) and transmission conditions ()-(5), we get W( f, g; ) = (N ( f )N ρ (g) N ( f )N (g)) W( f, g;)= ρ (N ( f )N (g) N ( f )N (g)) W( f, g;+) = W( f, g; ) Then we have [AF, G] = [F, AG](F, G D(A)), so A is symmetric, JA is also symmetric. Let JA = B, J l = L. Ifρ <, then If ρ >, then L u = l u. Similarly, if ρ <, then L u := λ(α u() α u ()) + (α u() α u ()) = L u := λ(β u() β u ()) (β u() β u ()) = If ρ >, then L u := l u. And L 3 u := l 3 u, L u := l u. For simplicity, we set ρ > and ρ >. In the following, we show that for all F = ( f, N ( f ), N ( f )) D(A), s.t. BF, W = F, U. Then W D(A) and BW = U, here W = (w(x), h, q), U = (u(x), k, s), i.e. (i) w, w AC loc((, )), w, w AC loc((, )), lw L r (I); (ii) h = α w() α w (), q = β w() β w (); (iii) l 3 w = l w = ; (iv)u(x) = lw; (v) k = α w() α w (), s = β w() β w (). For all F C D(A), we obtain + a (lf)w r dx (lf)w r dx = f u r dx + f u r dx a a a namely, lf, w = f, u. Hence, by standard Sturm-Liouville theory, (i) and (iv) hold. By (iv), the equation AF, W = F, U becomes a Then However (lf)w r dx + a (lf)w r dx + N ( f )h ρ N ( f )r ρ = a f u r dx + a lf, w = f, lw + N ( f )k ρ N ( f )h ρ + N ( f )r ρ N ( f )s ρ lf, w = f, lw + W( f, w; ) W( f, w; ) + W( f, w;) W( f, w;+) f u r dx + N ( f )k ρ N ( f )s ρ So N ( f )k N ( f )h + N ( f )r N ( f )s = ( f ( )w ( ) f ( )w( )) ρ ρ ρ ρ ( f ()w () f ()w()) + ( f ()w () f ()w()) ( f (+)w (+) f (+)w(+)) (7) By Naimark, s Patching Lemma (Naimark M.A. (968)) that there exists an F D(A) such that f ( ) = f ( ) = f (+) = f (+) =, f () = α, f () = α, f () = β, f () = β Thus N ( f ) =, N ( f ) =. Then from (7), (ii) be true. Similarly (v) is proved. Next choose function F D(A) and satisfies f () = f () = f () = f () = f (+) =, f ( ) = β 3, f ( ) = α 3, f (+) = Thus N ( f ) = N ( f ) = N ( f ) = N ( f ) =. Then from (7), we can have w(+) = α 3 w( ) + β 3 w ( ) Published by Canadian Center of Science and Education 63

4 Journal of Mathematics Research Vol., No. 3; August Similarly we can have w (+) = α w( ) + β w ( ) Corollary. All eigenvalues of the operator JA are real, and if λ and λ be the two different eigenvalues of the problem ()-(5), then the corresponding eigenfunctions f (x) and g(x) are orthogonal in the sense of a f g r + a f g r + ρ (α f () + α f ())(α g() α g ()) + ρ (β f () β f ())(β g() β g ()) = 3. Asymptotic approximations of fundamental solutions Let ϕ λ (x) be the solution of equation () on the interval [, ), satisfying the initial conditions ϕ λ () = α + λα,ϕ λ () = α + λα (8) After defining this solution we can define the solution ϕ λ (x) of equation () on the interval (, ] by the initial conditions ϕ λ () = α 3 ϕ λ () + β 3 ϕ λ (), ϕ λ () = α ϕ λ () + β ϕ λ () (9) Analogously we shall define the solutions χ λ (x), χ λ (x) by initial conditions χ λ () = β + λβ,χ λ () = β + λβ () χ λ () = β χ λ () β 3 χ λ (),χ λ () = α χ λ () α 3 χ λ () () Let us consider the Wronskians ω i (λ) := W λ (ϕ i,χ i ; x) (i =, ) which are independent of x Ω i and are entire functions, where Ω = [, ) and Ω = (, ]. This sort of calculation gives ω (λ) = ω (λ). Now we introduce the characteristic function ω(λ)asω(λ) := ω (λ). Theorem 3. The eigenvalues of the problem ()-(5) consist of the zeros of function ω(λ). Proof: Let u (x) be any eigenfunction corresponding to eigenvalue λ. Then the function u (x) may be represented in the form { C ϕ u (x) = λ (x) + C χ λ (x), x [, ) C 3 ϕ λ (x) + C χ λ (x), x (, ] where at least one of the constants c i (i =, ) is not zero. Consider the true function l v (u (x)) =, v =, as the homogenous system of linear equations in the variables c i (i =, ) and talking into account (8)-(), it follows that the determinant of this system is ω (λ ) ω (λ ) ϕ λ () χ λ () ϕ λ () χ λ () = ω(λ ) 3 = ϕ λ () χ λ () ϕ λ () χ λ () Lemma 3. Let λsgnx = s, s = σ + it. Then the following integral equations hold for k =, dx ϕ λ(x) = ( α k s α ) dk s(x + ) cos + dxk s ( α s α ) dk s(x + ) sin + dxk s dx ϕ λ(x) = (α k 3 ϕ λ () + β 3 ϕ dk sx λ ()) cos + a dxk a s (α ϕ λ () + β ϕ dk sx λ ()) sin dxk + a s s(x y) sin q(y)ϕ dxk λ (y)dy () s(x y) sin q(y)ϕ dxk λ (y)dy (3) a Proof: Regard ϕ λ (x) as the solution of the following non-homogeneous Cauchy problem { a u (x) + s u(x) = q(x)ϕ λ (x) a Using the method of constant changing, ϕ λ (x) satisfies ϕ λ () = α s α,ϕ λ () = α s α ϕ λ (x) = ( α s α s(x + ) ) cos + s ( α s α s(x + ) ) sin + s sin s(x y) (y)ϕ λ (x)dy 6 ISSN E-ISSN

5 Journal of Mathematics Research Vol., No. 3; August Then differentiating it with respect to x, we have (). The proof for (3) is similar. Lemma 3.3 Let λsgnx = s, Ims = t. Then for α while if α = dx ϕ λ(x) = α dk s(x + ) k s cos + O( s k+ e t x+ ) () dxk dx ϕ λ(x) = β 3α s3 sin s sx cos + O( s k+ e t ( k a + x a ) ) (5) dxk a dx ϕ λ(x) = a k α s dk s(x + ) sin + O( s k e t x+ ) (6) dxk dx ϕ λ(x) = β k 3 α s cos s sx cos + O( s k+ e t ( a + x a ) ) (7) dxk a k =,. Each of this asymptotic equalities hold uniformly for x as λ. Theorem 3. Let λsgnx = s, Ims = t. Then the characteristic function ω(λ) has the following asymptotic representations: Case α, β Case α, β = Case 3 α =, β Case α =, β = ω(λ) = β 3β α s6 a ω(λ) = β 3β α s5 a ω(λ) = β 3β α s5 ω(λ) = β 3β α s sin s sin s a + O( s 5 e t ( a ) ) cos s sin s a + O( s e t ( a ) ) sin s cos s a + O( s e t ( a ) ) cos s cos s a + O( s 3 e t ( a ) ) Proof: The proof is obtained by substituting (5) into the representation ω(λ) = (β + λβ )ϕ λ() (β + λβ )ϕ λ () Corollary 3.5 The eigenvalues of the problem ()-(5) are semibounded below. Theorem 3.6 The following asymptotic formulae hold for the real eigenvalues of the problem ()-(5) with r(x) = sgnx: Case α, β λ n = (n )π + O( n ), λ n = a (n )π + O( n ) Case α =, β λ n = (n )π + O( n ), λ n = a (n )π + O( n ) Case 3 α, β = λ n = (n )π + O( n ), λ n = a (n )π + O( n ) Case α =, β = λ n = (n )π + O( n ), λ n = a (n )π + O( n ) Proof: By applying the known Rouche theorem, we can obtain these conclusions.. More accuracy asymptotic formulae for eigenvalues and eigenfunctions In this section, for the sake of simplicity we assume that = a =, α = β 3 =, α 3 = β and the weight function r(x) = sgnx. We will use the following method to obtain more accurate conclusions. Similarity with the third section, we can get the following three conclusions: Published by Canadian Center of Science and Education 65

6 Journal of Mathematics Research Vol., No. 3; August Lemma. Let λsgnx = s, Ims = t. Then α dx ϕ λ(x) = α dk k s dx cos s(x + ) k α s dk dx sin s(x + ) + k s dx sin s(x y)q(y)ϕ λ(y)dy + O( s k e t (x+) ) k while if α = dx ϕ λ(x) = α k α 3s dk dx cos s(x + ) k α α 3s dk dx sin s(x + ) + α 3 k s dx ϕ λ(x) = α k + s dx k sin s(x y)q(y)ϕ λ(y)dy + O( s k e t (x+) ) dx cos s(x + ) k α s dk dx sin s(x + ) + k s dx k ϕ(k) λ (x) = α α 3 dx cos s(x + ) k α α 3s dk dx sin s(x + ) + α 3 k s + s dx sin s(x y)q(y)ϕ λ(y)dy + O( s k e t (x+) ) k k =,. Each of this asymptotic equalities hold uniformly for x as λ. Theorem. The characteristic function ω(λ) has the following asymptotic representations: Case α, β dx k sin s(x y)q(y)ϕ λ(y)dy dx k sin s(x y)q(y)ϕ λ(y)dy + O( s k e t (x+) ) dx k sin s(x y)q(y)ϕ λ(y)dy ω(λ) = α α 3β s5 sin s + (α α 3β s α α 3β s ) cos s + α α 3β s cos s( y) cos s( + y)q(y)dy Case α =, β +α α 3β s cos s( y) cos s( + y)q(y)dy + O( s 3 e t ) ω(λ) = α α 3β s cos s (α α 3 β s3 + α α 3β s3 ) sin s + α α 3β s3 cos s( y) sin s( + y)q(y)dy Case 3 α, β = +α α 3β s3 cos s( y) sin s( + y)q(y)dy + O( s e t ) ω(λ) = α α 3β s cos s + (α α 3β s 3 α α 3β s3 ) sin s α α 3β s3 sin s( y) cos s( + y)q(y)dy Case α =, β = α α 3β s3 sin s( y) cos s( + y)q(y)dy + O( s e t ) ω(λ) = α α 3β s3 sin s (α α 3β s + α α 3 β s ) cos s α α 3 β s sin s( y) sin s( + y)q(y)dy α α 3β s sin s( y) sin s( + y)q(y)dy + O( s e t ) Theorem.3 The following asymptotic formulas hold for the real eigenvalues and eigenfunctions of the boundary value transmission problem ()-(5): Case α, β s n = (n )π + O ( ),ϕ(x,λn ) = n (n) π α (n)π(x+) cos + O(n), x [, ) (n) π α α 3 cos (n)π(x+) + O(n), x (, ] 66 ISSN E-ISSN

7 Journal of Mathematics Research Vol., No. 3; August Case α =, β Case 3 α, β = Case α =, β = s n = (n )π s n = (n )π + O ( ),ϕ(x,λn ) = n + O ( ),ϕ(x,λn ) = n (n ) π α cos (n )π(x+) + O(n), x [, ) (n ) π α α 3 cos (n )π(x+) + O(n), x (, ] (n ) π α cos (n )π(x+) + O(n), x [, ) (n ) π α α 3 cos (n )π(x+) + O(n), x (, ] s n = nπ + O( ) { π α,ϕ(x,λn ) = cos nπ(x+) + O( n ), x [, ) n n π α α 3 cos nπ(x+) + O( n ), x (, ] Theorem. The following more accuracy asymptotic formulas hold for the real eigenvalues of the boundary value transmission problem ()-(5): Case α, β sn = Case α =, β Case 3 α, β = (n )π s n = (n )π s n = (n )π + + (α (n )π α β β + Q ) + O( ) n ( α (n )π α + β β Q ) ( ) + O n Case α =, β = s n = nπ ( α nπ α + β β Q ) ( ) + O n where Q := q(y)dy + q(y)dy. Proof: Let us consider Case only. Putting s n = (n)π + δ n,δ n = O ( n) in the equality ω(λ). We find that (8) (9) (α (n )π α β β + Q ) + O( n ) () sin δ n = cos δ n (α s n α β β + Q + O( n )) + O ( s n ) () () where Q := q(y)dy + q(y)dy. Consequently, from () it follows that δ n = (α (n )π α β β + Q ) ( ) + O n (3) substituting (3) in s n = (n)π + δ n, we have (8). The proof of other cases are similar. References Aiping W. (6). Research on Weidmann conjecture and differential operators with transmission conditions [Ph D Thesis], Inner Mongolia University,66-7. [in Chinese] Akdoğan Z, Demirci M etal Mukhtarov O Sh. (7). Green function of discontinuous boundary-value problem with transmission conditions. Math. Meth. Appl. Sci, 3: Buschmann D., Stolz G., Weidmann J. (995). One-dimensional Schrödinger operators with local point interactions. J.Reine Angew. Math, 67: Demirci M., Akdoğan Z., Mukhtarov O.sH. (). Asymptotic behavior of eigenvalues and eigenfuctions of one discontinuous boundary-value problem. International Journal of Computational Cogonition, (3):-3. Published by Canadian Center of Science and Education 67

8 Journal of Mathematics Research Vol., No. 3; August Kadakal M., Mukhtarov O Sh. (6) Discontinuous Sturm-Liouville problems containing eigenparameter in the boundary condition. Acta Mathematical sinic, English Series Sep., (5): Naimark M.A. (968). Linear Differential operators, Part II. Ungar, New York. Zhijiang C. (986). Ordinary differential operator, Shanghai, (Chapter 3).[in Chinese] 68 ISSN E-ISSN

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

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

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

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

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

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

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

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

D Alembert s Solution to the Wave Equation

D Alembert s Solution to the Wave Equation D Alembert s Solution to the Wave Equation MATH 467 Partial Differential Equations J. Robert Buchanan Department of Mathematics Fall 2018 Objectives In this lesson we will learn: a change of variable technique

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

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

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

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

Coefficient Inequalities for a New Subclass of K-uniformly Convex Functions

Coefficient Inequalities for a New Subclass of K-uniformly Convex Functions International Journal of Computational Science and Mathematics. ISSN 0974-89 Volume, Number (00), pp. 67--75 International Research Publication House http://www.irphouse.com Coefficient Inequalities for

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

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

SCITECH Volume 13, Issue 2 RESEARCH ORGANISATION Published online: March 29, 2018

SCITECH Volume 13, Issue 2 RESEARCH ORGANISATION Published online: March 29, 2018 Journal of rogressive Research in Mathematics(JRM) ISSN: 2395-028 SCITECH Volume 3, Issue 2 RESEARCH ORGANISATION ublished online: March 29, 208 Journal of rogressive Research in Mathematics www.scitecresearch.com/journals

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

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

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

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

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

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

The Negative Neumann Eigenvalues of Second Order Differential Equation with Two Turning Points

The Negative Neumann Eigenvalues of Second Order Differential Equation with Two Turning Points Applied Mathematical Sciences, Vol. 3, 009, no., 6-66 The Negative Neumann Eigenvalues of Second Order Differential Equation with Two Turning Points A. Neamaty and E. A. Sazgar Department of Mathematics,

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

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

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

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

Uniform Convergence of Fourier Series Michael Taylor

Uniform Convergence of Fourier Series Michael Taylor Uniform Convergence of Fourier Series Michael Taylor Given f L 1 T 1 ), we consider the partial sums of the Fourier series of f: N 1) S N fθ) = ˆfk)e ikθ. k= N A calculation gives the Dirichlet formula

Διαβάστε περισσότερα

General 2 2 PT -Symmetric Matrices and Jordan Blocks 1

General 2 2 PT -Symmetric Matrices and Jordan Blocks 1 General 2 2 PT -Symmetric Matrices and Jordan Blocks 1 Qing-hai Wang National University of Singapore Quantum Physics with Non-Hermitian Operators Max-Planck-Institut für Physik komplexer Systeme Dresden,

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

Eigenvalues and eigenfunctions of a non-local boundary value problem of Sturm Liouville differential equation

Eigenvalues and eigenfunctions of a non-local boundary value problem of Sturm Liouville differential equation Global Journal of Pure and Applied Mathematics. ISSN 0973-1768 Volume 12, Number 5 (2016, pp. 3885 3893 Research India Publications http://www.ripublication.com/gjpam.htm Eigenvalues and eigenfunctions

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

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

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

Lecture 13 - Root Space Decomposition II

Lecture 13 - Root Space Decomposition II Lecture 13 - Root Space Decomposition II October 18, 2012 1 Review First let us recall the situation. Let g be a simple algebra, with maximal toral subalgebra h (which we are calling a CSA, or Cartan Subalgebra).

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

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

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

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

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

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

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

SOME PROPERTIES OF FUZZY REAL NUMBERS

SOME PROPERTIES OF FUZZY REAL NUMBERS Sahand Communications in Mathematical Analysis (SCMA) Vol. 3 No. 1 (2016), 21-27 http://scma.maragheh.ac.ir SOME PROPERTIES OF FUZZY REAL NUMBERS BAYAZ DARABY 1 AND JAVAD JAFARI 2 Abstract. In the mathematical

Διαβάστε περισσότερα

Lecture 26: Circular domains

Lecture 26: Circular domains Introductory lecture notes on Partial Differential Equations - c Anthony Peirce. Not to be copied, used, or revised without eplicit written permission from the copyright owner. 1 Lecture 6: Circular domains

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

Homomorphism in Intuitionistic Fuzzy Automata

Homomorphism in Intuitionistic Fuzzy Automata International Journal of Fuzzy Mathematics Systems. ISSN 2248-9940 Volume 3, Number 1 (2013), pp. 39-45 Research India Publications http://www.ripublication.com/ijfms.htm Homomorphism in Intuitionistic

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

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

DiracDelta. Notations. Primary definition. Specific values. General characteristics. Traditional name. Traditional notation

DiracDelta. Notations. Primary definition. Specific values. General characteristics. Traditional name. Traditional notation DiracDelta Notations Traditional name Dirac delta function Traditional notation x Mathematica StandardForm notation DiracDeltax Primary definition 4.03.02.000.0 x Π lim ε ; x ε0 x 2 2 ε Specific values

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

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

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

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

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

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

Parametrized Surfaces

Parametrized Surfaces Parametrized Surfaces Recall from our unit on vector-valued functions at the beginning of the semester that an R 3 -valued function c(t) in one parameter is a mapping of the form c : I R 3 where I is some

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

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

2. Let H 1 and H 2 be Hilbert spaces and let T : H 1 H 2 be a bounded linear operator. Prove that [T (H 1 )] = N (T ). (6p)

2. Let H 1 and H 2 be Hilbert spaces and let T : H 1 H 2 be a bounded linear operator. Prove that [T (H 1 )] = N (T ). (6p) Uppsala Universitet Matematiska Institutionen Andreas Strömbergsson Prov i matematik Funktionalanalys Kurs: F3B, F4Sy, NVP 2005-03-08 Skrivtid: 9 14 Tillåtna hjälpmedel: Manuella skrivdon, Kreyszigs bok

Διαβάστε περισσότερα

Commutative Monoids in Intuitionistic Fuzzy Sets

Commutative Monoids in Intuitionistic Fuzzy Sets Commutative Monoids in Intuitionistic Fuzzy Sets S K Mala #1, Dr. MM Shanmugapriya *2 1 PhD Scholar in Mathematics, Karpagam University, Coimbatore, Tamilnadu- 641021 Assistant Professor of Mathematics,

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

Appendix to On the stability of a compressible axisymmetric rotating flow in a pipe. By Z. Rusak & J. H. Lee

Appendix to On the stability of a compressible axisymmetric rotating flow in a pipe. By Z. Rusak & J. H. Lee Appendi to On the stability of a compressible aisymmetric rotating flow in a pipe By Z. Rusak & J. H. Lee Journal of Fluid Mechanics, vol. 5 4, pp. 5 4 This material has not been copy-edited or typeset

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

The Simply Typed Lambda Calculus

The Simply Typed Lambda Calculus Type Inference Instead of writing type annotations, can we use an algorithm to infer what the type annotations should be? That depends on the type system. For simple type systems the answer is yes, and

Διαβάστε περισσότερα

n=2 In the present paper, we introduce and investigate the following two more generalized

n=2 In the present paper, we introduce and investigate the following two more generalized MATEMATIQKI VESNIK 59 (007), 65 73 UDK 517.54 originalni nauqni rad research paper SOME SUBCLASSES OF CLOSE-TO-CONVEX AND QUASI-CONVEX FUNCTIONS Zhi-Gang Wang Abstract. In the present paper, the author

Διαβάστε περισσότερα

SOLUTIONS TO MATH38181 EXTREME VALUES AND FINANCIAL RISK EXAM

SOLUTIONS TO MATH38181 EXTREME VALUES AND FINANCIAL RISK EXAM SOLUTIONS TO MATH38181 EXTREME VALUES AND FINANCIAL RISK EXAM Solutions to Question 1 a) The cumulative distribution function of T conditional on N n is Pr T t N n) Pr max X 1,..., X N ) t N n) Pr max

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

( 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

Problem Set 3: Solutions

Problem Set 3: Solutions CMPSCI 69GG Applied Information Theory Fall 006 Problem Set 3: Solutions. [Cover and Thomas 7.] a Define the following notation, C I p xx; Y max X; Y C I p xx; Ỹ max I X; Ỹ We would like to show that C

Διαβάστε περισσότερα

Math 446 Homework 3 Solutions. (1). (i): Reverse triangle inequality for metrics: Let (X, d) be a metric space and let x, y, z X.

Math 446 Homework 3 Solutions. (1). (i): Reverse triangle inequality for metrics: Let (X, d) be a metric space and let x, y, z X. Math 446 Homework 3 Solutions. (1). (i): Reverse triangle inequalit for metrics: Let (X, d) be a metric space and let x,, z X. Prove that d(x, z) d(, z) d(x, ). (ii): Reverse triangle inequalit for norms:

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

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

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

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

ω ω ω ω ω ω+2 ω ω+2 + ω ω ω ω+2 + ω ω+1 ω ω+2 2 ω ω ω ω ω ω ω ω+1 ω ω2 ω ω2 + ω ω ω2 + ω ω ω ω2 + ω ω+1 ω ω2 + ω ω+1 + ω ω ω ω2 + ω

ω ω ω ω ω ω+2 ω ω+2 + ω ω ω ω+2 + ω ω+1 ω ω+2 2 ω ω ω ω ω ω ω ω+1 ω ω2 ω ω2 + ω ω ω2 + ω ω ω ω2 + ω ω+1 ω ω2 + ω ω+1 + ω ω ω ω2 + ω 0 1 2 3 4 5 6 ω ω + 1 ω + 2 ω + 3 ω + 4 ω2 ω2 + 1 ω2 + 2 ω2 + 3 ω3 ω3 + 1 ω3 + 2 ω4 ω4 + 1 ω5 ω 2 ω 2 + 1 ω 2 + 2 ω 2 + ω ω 2 + ω + 1 ω 2 + ω2 ω 2 2 ω 2 2 + 1 ω 2 2 + ω ω 2 3 ω 3 ω 3 + 1 ω 3 + ω ω 3 +

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

Space-Time Symmetries

Space-Time Symmetries Chapter Space-Time Symmetries In classical fiel theory any continuous symmetry of the action generates a conserve current by Noether's proceure. If the Lagrangian is not invariant but only shifts by a

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

5. Choice under Uncertainty

5. Choice under Uncertainty 5. Choice under Uncertainty Daisuke Oyama Microeconomics I May 23, 2018 Formulations von Neumann-Morgenstern (1944/1947) X: Set of prizes Π: Set of probability distributions on X : Preference relation

Διαβάστε περισσότερα

On Numerical Radius of Some Matrices

On Numerical Radius of Some Matrices International Journal of Mathematical Analysis Vol., 08, no., 9-8 HIKARI Ltd, www.m-hikari.com https://doi.org/0.988/ijma.08.75 On Numerical Radius of Some Matrices Shyamasree Ghosh Dastidar Department

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

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

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

Bounding Nonsplitting Enumeration Degrees

Bounding Nonsplitting Enumeration Degrees Bounding Nonsplitting Enumeration Degrees Thomas F. Kent Andrea Sorbi Università degli Studi di Siena Italia July 18, 2007 Goal: Introduce a form of Σ 0 2-permitting for the enumeration degrees. Till now,

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

Spherical Coordinates

Spherical Coordinates Spherical Coordinates MATH 311, Calculus III J. Robert Buchanan Department of Mathematics Fall 2011 Spherical Coordinates Another means of locating points in three-dimensional space is known as the spherical

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

Jordan Journal of Mathematics and Statistics (JJMS) 4(2), 2011, pp

Jordan Journal of Mathematics and Statistics (JJMS) 4(2), 2011, pp Jordan Journal of Mathematics and Statistics (JJMS) 4(2), 2011, pp.115-126. α, β, γ ORTHOGONALITY ABDALLA TALLAFHA Abstract. Orthogonality in inner product spaces can be expresed using the notion of norms.

Διαβάστε περισσότερα

On a four-dimensional hyperbolic manifold with finite volume

On a four-dimensional hyperbolic manifold with finite volume BULETINUL ACADEMIEI DE ŞTIINŢE A REPUBLICII MOLDOVA. MATEMATICA Numbers 2(72) 3(73), 2013, Pages 80 89 ISSN 1024 7696 On a four-dimensional hyperbolic manifold with finite volume I.S.Gutsul Abstract. In

Διαβάστε περισσότερα

J. of Math. (PRC) Banach, , X = N(T ) R(T + ), Y = R(T ) N(T + ). Vol. 37 ( 2017 ) No. 5

J. of Math. (PRC) Banach, , X = N(T ) R(T + ), Y = R(T ) N(T + ). Vol. 37 ( 2017 ) No. 5 Vol. 37 ( 2017 ) No. 5 J. of Math. (PRC) 1,2, 1, 1 (1., 225002) (2., 225009) :. I +AT +, T + = T + (I +AT + ) 1, T +. Banach Hilbert Moore-Penrose.. : ; ; Moore-Penrose ; ; MR(2010) : 47L05; 46A32 : O177.2

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

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

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

A General Note on δ-quasi Monotone and Increasing Sequence

A General Note on δ-quasi Monotone and Increasing Sequence International Mathematical Forum, 4, 2009, no. 3, 143-149 A General Note on δ-quasi Monotone and Increasing Sequence Santosh Kr. Saxena H. N. 419, Jawaharpuri, Badaun, U.P., India Presently working in

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

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

= {{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

g-selberg integrals MV Conjecture An A 2 Selberg integral Summary Long Live the King Ole Warnaar Department of Mathematics Long Live the King

g-selberg integrals MV Conjecture An A 2 Selberg integral Summary Long Live the King Ole Warnaar Department of Mathematics Long Live the King Ole Warnaar Department of Mathematics g-selberg integrals The Selberg integral corresponds to the following k-dimensional generalisation of the beta integral: D Here and k t α 1 i (1 t i ) β 1 1 i

Διαβάστε περισσότερα