On a free boundary problem of magnetohydrodynamics in multi-connected domains

Μέγεθος: px
Εμφάνιση ξεκινά από τη σελίδα:

Download "On a free boundary problem of magnetohydrodynamics in multi-connected domains"

Transcript

1 On a free boundary problem of magnetohydrodynamics in multi-connected domains V.A.Solonnikov June 212, Frauenhimsee 1 Formulation of the problem Domains 1t : variable domain filled with a liquid, 2t : vacuum region surrounding 1t, 3 : fixed domain where the electric current j(x, t) is given; = 1t 3 2t, Γ t = 1t : free surface, S 3 : the boundary of 3, S: the boundary of a perfect conductor. Equations of magnetohydrodynamics. Navier-Stokes equations: { vt + (v )v (T (v, p) + T M (H)) = f(x, t), v(x, t) =, x 1t, t >, Maxwell equations: µh t = rote, H =, x 1t 2t 3, roth = α(e + µ(v H)), x 1t, roth =, H =, E =, x 2t, roth = αe + j(x, t), x 3. (1.1) (1.2) v, p: velocity and pressure, f: mass forces, H(x, t), E(x, t): magnetic and electric fields, µ: piecewise constant positive function equal to µ i in i α: piecewise constant function positive in 1t, 3 and α = in 2t, T (v, p) = pi + νs(v): the viscous stress tensor, S(v) = v + ( v) T : the doubled rate-of-strain tensor, T M (H) = µ(h H 1 2 H 2 I): the magnetic stress tensor. 1

2 Boundary and jump conditions: H n =, E τ =, x S, [µh n] =, [H τ ] =, [E τ ] =, x S 3, ( T (v, p) + [TM (H)] ) n =, V n = v n, [µh n] =, [H τ ] =, n t [µ]h τ + [n x E] =, x Γ t, (1.3) H τ = H n(n H), E τ = E n(n E): tangential components of H and E, [F ]: jump of the vector field F (x) on Γ t and S 3, V n : the velocity of evolution of Γ t in the direction of the exterior normal n, n = (n x, n t ): normal to the surface x Γ t, t (, T ) in R 4. Initial and orthogonality conditions v(x, ) = v (x), x 1, H(x, ) = H (x), x 1 2 3, (1.4) S k E nds =. (1.5) S k : connected components of the boundary of 2t, i = i, i = 1, 2, 3 Compatibility conditions v (x) =, x 1, H (x) =, x 1 2 3, roth (x) =, x 2, [(S(v )n) τ ] =, [H τ ] =, [µh N] =, x Γ, [H τ ] =, [µh n] =, x S 3, H (x) n =, x S. (1.6) 2 Transformation of the problem and formulation of main result. Lagrangian coordinates ξ 1 : x = ξ + t u(ξ, τ)dτ X(ξ, t), X : 1 1t, Γ Γ t. u(ξ, t) = v(x(ξ, t), t), u (x, t) : the extension of u from 1 in such that u (ξ, t) = in 3 and near S 3 S. x = ξ + t u (ξ, τ)dτ X(ξ, t), X : i it, i = 1, 2, 3 3, ( x ) L(u), L(u) = detl, L = LL 1 ; ξ 2

3 L = 1 for ξ 1, L T A(u): co-factors matrix, T means transposition. Let P = L T L/L, q(ξ, t) = p(x, t), h(ξ, t) = LH(X, t), e(ξ, t) = LE(X, t), i.e., H(X, t) = L L h, E(X, t) = L L e. The mapping X converts (1.1)-(1.5) in { ut ν 2 uu + u q u T M (Lh) = f(x, t), u u =, ξ 1, t >, µ(h t L T L t L h L T (u u ) L h) = rotp(ξ, t)e, L ξ i, i = 1, 2, 3, ProtPh = α(pe + µ(l 1 u h)), h =, ξ 1, rotph =, h =, e =, ξ 2, roth = αe + j(ξ, t), h =, ξ 3, (2.1) (2.2) { h n =, eτ =, ξ S, [µh n] =, [h τ ] =, [e τ ] = ξ S 3, [µh n ] =, [h τ ] = ( AT An An 2 n ))[h n ], [n Pe] = (u An )[µ]h τ, (T u (u, q) + [T M (Lh)])An =, ξ Γ, u(ξ, ) = v (ξ), ξ 1, h(ξ, ) = H (ξ), ξ i, i = 1, 2, 3, e(ξ, t) n(ξ)ds =, S k (2.3) (2.4) (2.5) where u = L T is the transformed gradient w.r.to x and is the gradient w.r.to ξ, n(x) = An (ξ)/ An (ξ), n : the exterior normal to Γ. T u = q + νs u (u): the transformed stress tensor; S u (w) = u w + ( u w) T : the transformed rate-of-strain tensor. We find the solution of (2.1)-(2.5) in anisotropic Sobolev-Slobodetskii spaces W r,r/2 2, r >. Theorem 1. Let Γ W l+3/2 2, u W2 l+1 ( 1 ), H W2 l( 1) W2 l( 2), W2 l( 3) with 3/2 < l < 2, and let the compatibility conditions (1.6) be satisfied. Assume also that f, f W l,l/2 2 (R 3 (, T )), j W (l 1)/2 2 (, T ; W 1 2 ( 3 )) L 2 (, T ; W l 2( 3 ), j(x, t) n(x) x S3 =. (2.6) 3

4 Then the problem (2.1)-(2.5) has a unique solution defined in a certain (small) time interval (, T ), T T with the following regularity properties: u W 2+l,1+l/2 2 (Q 1 T ), q W l,l/2 2 (Q 1 T ), q W l+1/2,l/2+1/4 2 (G T ), h W l+1,(l+1)/2 2 (Q i T ), e L 2 (, T ; W l 2( i )) W (l 1)/2 2 (, T ; W 1 2 ( i )), where i = 1, 2, 3,, Q i T = (, T ), G T = Γ (, T ). The solution satisfies the inequality u l+2,l/2+1 W 2 (Q 1 T ) + q W l,l/2 2 (Q 1 T ) + q l+1/2,l/2+1/4 W 2 (G T ) ( + h W l+1,l/2+1/2 2 (Q i T ) + e L 2 (,T ;W2 l( i)) ) + e (l 1)/2 W ( c + 2 (,T ;W 1 2 (Γ )) f W l,l/2 2 (Q 1 T ) + u W l+1 2 ( 1 ) H W l 2 ( i ) + j L 2 (,T ;W2 l( 3)) ) + j (l 1)/2 W 2 (,T ;W2 1(. 3)) (2.7) Exclusion of e. Let the test function ψ(ξ) satisfy the conditions ψ(ξ) =, ξ i, i = 1, 2, 3, rotψ(ξ) =, ξ 2, [µψ n ] =, [ψ τ ] =, ξ Γ, [µψ n] =, [ψ τ ] =, ξ S 3, ψ n =, ξ S. (2.8) Using the relation rotpe ψdξ = we write (2.1)-(2.5) as a nonlinear problem for u, q, h: Pe rotψdξ + [n Pe] ψds Γ 4

5 u t ν 2 uu + u q u T M (Lh) = f(x, t), u u =, ξ 1, t >, µ(h t Φ(h, u)) ψ(ξ, t)dξdt T + α 1 ProtPh rotψ(ξ, t)dξdt 1 3 µ 1 (L 1 u h) rotψ(ξ, t)dξdt 1 + Ψ(h, u) ψdsdt Γ = α 1 j(ξ, t) ψ(ξ, t)dξdt, 3 rotph =, ξ 2, h =, ξ 1 2 3, h n =, ξ S, [µh n] =, [h τ ] =, ξ S 3, (2.9) [µh n ] =, [h τ ] = ( AT An An 2 n ))[h n )] =, (T u (u, q) + [T M (Lh)])An =, ξ Γ, u(ξ, ) = v (ξ), ξ 1, h(ξ, ) = H (ξ), ξ i, i = 1, 2, 3, where Φ = L T L t L h + L T (u u ) L L h, Ψ = (u An )[µ]h τ. Theorem 2. Under the assumptions of Theorem 1, the problem (2.9) has a unique solution (u, q, h) satisfying the inequality u l+2,l/2+1 W 2 (Q 1 T ) + q W l,l/2 2 (Q 1 T ) + q l+1/2,l/2+1/4 W 2 (G T ) ( + h W l+1,l/2+1/2 2 (Q i T ) ( c + f W l,l/2 2 (Q 1 T ) + u W l+1 2 ( 1 ) H W l 2 ( i ) + j L 2 (,T ;W2 l( 3)) ) + j (l 1)/2 W 2 (,T ;W2 1(. 3)) (2.1) 5

6 3 Linear problems The proof of Theorem 2 is based on the analysis of some linear problems, namely, v t ν 2 v + p = f(ξ, t), v = f, ξ 1, t >, T (v, p)n = d(ξ, t), ξ Γ, v(ξ, ) = v (ξ), ξ 1, { roth(ξ) = k(x), h(ξ) =, ξ 1 2 3, [µh n] =, [h τ ] =, ξ Γ S 3, h n ξ S =, µh t ψ(ξ, t)dξdt + α 1 roth rotψ(ξ, t)dξdt 1 3 = g 1 (ξ, t) rotψ(y, t)dξdt µg 2 (y, t) ψ(ξ, t)dξdt, h(ξ, t) =, ξ 1 2 3, roth(ξ, t) =, ξ 2, [µh n ] =, [h τ ] =, ξ Γ, [µh n] =, [h τ ] =, ξ S 3, h n =, ξ S, h(ξ, ) = h (ξ), ξ 1 2 3, where ψ(ξ, t) is an arbitrary test vector field satisfying the conditions (2.8). Theorem 3. Assume that Γ W l+3/2 2, 3/2 < l < 2, and that the compatibility conditions f W l,l/2 2 (Q 1 T ), v W l+1 2 ( 1 ), f = F, f L 2 (, T ; W l+1 2 ( 1 )), F t W l/2 2 (, T ; L 2 ( 1 )), d W l+1/2,l/2+1/4 2 (G T ), (3.1) (3.2) (3.3) v (ξ) = f(ξ, ), (S(v )n) τ = d τ, ξ Γ are satisfied. Then the problem (3.1) has a unique solution v W 2+l,1+l/2 2 (Q 1 T ), p W l,l/2 1 (Q 1 T ) with p ξ Γ W l+1/2,l/2+1/4 2 (G T ) and v l+2,l/2+1 W 2 (Q 1 T ) + p W l,l/2 2 (Q 1 T ) + p W l+l/2,1/2+l/4 2 (Γ ) c( f L2 (,T ;W l+1 2 ( 1 )) + F t l/2 W 2 (,T ;L 2 ( 1 )) + d l+1/2,l/2+1/4 W 2 (G T ) + v W l+1 2 ( ) ). (3.4) 6

7 Let H l () be the space of vector fields ψ W2 l (), i = 1, 2, 3, satisfying (2.8); U(): finite dimensional set of vector fields satisfying (2.8) and, in addition, rotψ(ξ) =, ξ ; H l (): the subset of Hl () whose elements satisfy the orthogonality condition µψ(ξ) u(ξ)dξ =, u U(). Theorem 4. Let Γ, S, S 3 W l+3/2 2, l (3/2, 2). For arbitrary k W r 2 ( i), r [, l] i = 1, 2, 3, such that k =, ξ 1 2 3, [k n] =, ξ Γ S 3, k n S = the problem (3.2) has a unique solution belonging to W r+1 2 ( i ), i = 1, 2, 3 and orthogonal to U(). The solution satisfies the inequality then Moreover, if h W 1+r 2 ( i ) c k W r 2 ( i ). (3.5) k = rotk(ξ), [K τ ] Γ S 3 =, K τ S =, (3.6) h L2 () c K L2 (). (3.7) Corollary 1. If h H r+1 (), then c 1 h W r+1 2 ( i ) roth W2 r( 1 3 ) c 2 h W r+1 2 ( i ). Corollary 2. If k W r,r/2 2 (Q i T ), i = 1, 2, 3, then h L 2(, T : W2 r+1 ( i )) W r/2 2 (, T ; W2 1( i)) and ( h L2 (,T :W r+1 2 ( i )) + h W r/2 2 (,T ;W2 1( i)) ) (3.8) Moreover, if (3.6) holds, then c k W r,r/2 2 ( i ). h W (r+1)/2 2 (,T ;L 2 ()) c K W (r+1)/2 2 (,T ;L 2 ()). (3.9) Theorem 5. Let l (3/2, 2). For arbitrary h, g 1, g 2 satisfying the conditions h W l 2( i ), i = 1, 2, 3, h (y) =, y 1 2 3, roth (y) =, y 2, [µh n] =, [h τ ] =, y Γ S 3, h n =, y S, 7 (3.1)

8 g 1 L 2 (, T ; W l 2( 1 3 )) W (l 1)/2 2 (, T ; W 1 2 ( 1 3 )), g 1 =, g 1 n =, y Γ S 3, g 2 W l 1,(l 1)/2 2 (Q i T ), i = 1, 2, 3, [µg 2 n] =, [g 2τ ] =, y Γ S 3, g 2 n =, y S the problem (3.3) has a unique solution h W 1+l,(1+l)/2 2 (Q i T ), satisfying the inequality (3.11) h W 1+l,(1+l)/2 2 (Q i T ) c( ( h W l 2 ( i ) + g 2 l 1,(l 1)/2 W 2 (Q i )) T + ( g 1 L2 (,T ;W2 l( i)),3 + g 1 W (l 1)/2 2 (,T ;W 1 2 ( i) )), (3.12) and Moreover, there exist e L 2 (, T ; W2 l( i)) W (l 1)/2 2 (, T ; W2 1( i)), i = 1, 2, 3, such that µ(h t g 2 ) = rote(ξ, t), ξ 1 2 3, roth = α(e + g 1 ). ξ 1 3, (3.13) e(ξ, t) =, ξ 2, [e τ ] =, ξ Γ S 3, e τ =, ξ S, ( e L2 (,T ;W l 2 ( i)) + e W (l 1)/2 2 (,T ;W 1 2 ( i)) ) c( ( h W l 2 ( i ) + g 2 l 1,(l 1)/2 W 2 (Q i )) T + ( g 1 L2 (,T ;W2 l( i)) + g 1 (l 1)/2 W 2 (,T ;W2 1( i) )).,2 (3.14) We describe briefly the (formal) construction of e. We decompose h, h, ψ, g 2 in the sums h = h + h, h = h + h, ψ = ψ + ψ, g 2 = g 2 + g 2, where h, h, ψ, g 2 U() and h, h, ψ, g 2 are orthogonal to U(). It is easily verified that in the case h = h, g 2 = g 2 the problem (3.3) reduces to µ(h t g 2) ψ dξdt =, 8

9 i.e., and in the case h = h, h t g 2 =, h t= = h, (3.15) g 2 = g 2 we have h = h [1]. Let E be the solution of the problem rote = µ(h t g 2), E =, ξ, E τ =, ξ S. (3.16) It is easily seen that T 1 3 ( E + α 1 roth g 1 ) rotψ (y, t)dξdt =, which implies E + α 1 roth g 1 = χ 1 (ξ, t), ξ 1 3, (3.17) in view of Theorem 4. We set e = E + χ 1 (ξ, t), ξ 1 3, b e = E + χ 2 (ξ, t) + C j (t)v k (ξ), ξ 2, k=1 (3.18) where χ 2 is a solution of the problem 2 χ 2 (ξ, t) =, ξ 2, χ 2 (ξ, t) = χ 1 (ξ, t), ξ Γ S 3, χ 2 (ξ, t) =, ξ S (3.19) and v k are the Dirichlet vector fields in 2, i.e., v k = φ(ξ, t), 2 φ k (ξ, t) =, ξ 2, φ k (ξ, t) = δ jk, ξ S j, φ k (ξ, t) =, ξ S, (3.2) S j are all the connected components of 2, except S, j, k = 1,..., b, b is the second Betti number of the domain 2. The coefficients C j (t) may be found from the additional normalization conditions S k e nds =, that gives = (E + χ 2 (ξ, t) + S k b C j (t)v k (ξ)) nds. (3.21) The estimate (3.14) follows from (3.21)and from the estimates of solutions of (3.15), (3.16), (3.19), (3.2). k=1 9

10 4 Nonlinear problem We go back to Sec. 2 and write our main nonlinear problem in the form u t ν 2 u + q = f(ξ, t) + l 1 (u, q), u = l 2 (u), ξ 1, t >, T (u, q)n = l 3 (u), ξ Γ, µh t ψ(y, t)dydt + α 1 roth rotψ(y, t)dydt 1 3 = l 4 (u, h) rotψ(y, t)dydt µl 5 (u, h) ψ(y, t)dydt, roth = l 6 (u, h), ξ 2, [µh n] =, [h τ ] = l 7 (u, h), ξ Γ, [µh n] =, [h τ ] =, ξ S 3, h n =, ξ S, u(ξ, ) = v (ξ), ξ 1, h(ξ, ) = H (ξ), ξ i, i = 1, 2, 3, (4.1) where l 1 = ν( 2 u 2 )u + ( u )q + u T M (Lh) f(x, t) + f(ξ, t), l 2 = ( u ) h = (I A T )h, l 3 = Π (Π S(u)n ΠS u (u)n)) + νn ((n S(u)n ) (n S u (u)n)) + n [n T M (Lh)n], l 4 = α 1 (roth ProtPh) + µ(l 1 u h) (n Ψ ), l 5 = Φ(u, h) + µ 1 rot(n Ψ ), l 6 = rot(i P)h, (4.2) l 7 = ( AT An An 2 n )[h n ], where n and Ψ are extensions of n, Ψ from Γ in 1, Πf = f n(n f), Π f = f n (n f). 1

11 We solve the problem (4.1) by successive approximations, according to the scheme u m+1,t ν 2 u m+1 + q m+1 = f(ξ, t) + l 1 (u m, q m ), u m+1 = l 2 (u m ), ξ 1, t >, T (u m+1, q m+1 )n = l 3 (u m, h m ), ξ Γ, µh m+1t ψ(y, t)dydt + α 1 roth m+1 rotψ(y, t)dydt 1 3 = l 4 (u m, h m ) rotψ(y, t)dydt µl 5 (u m, h m ) ψ(y, t)dydt, roth m+1 = l 6 (u m, h m ), ξ 2, [µh m+1 n] =, [h m+1,τ ] = l 7 (u m, h m ), ξ Γ, [µh m+1 n] =, [h m+1,τ ] =, ξ S 3, h m+1 n =, ξ S, u m+1 (ξ, ) = v (ξ), ξ 1, h m+1 (ξ, ) = H (ξ), ξ i, i = 1, 2, 3, (4.3) u =, q =, ρ =, h =. Using Theorems 3-5 and estimates of the nonlinear terms (they are omitted), we obtain where β >, Y m+1 (T ) c 1 T β Ym(t) j + c 2 N(T ), (4.4) j=1 Y m (T ) = u m l+2,l/2+1 W 2 (Q 1 T ) + q m l,l/2 W 2 (Q 1 T ) + q m l+1/2,l/2+1/4 W 2 (G T ) + h m l+1,l/2+1/2 W 2 (Q i ), T N(T ) = f l,l/2 W 2 (WT i ) + j L 2 (,T ;W2 l( 3)) + j (l 1)/2 W 2 (,T ;W2 1( 3)) + v W l+1 2 ( 1 ) + h W l 2 ( i ). It follows from (4.4) that in the case of small T Y m+1 (T ) 2c 2 N(T ). (4.5) 11

12 The proof of the convergence of the sequence (u m, q m, ρ m, h m ) is based on the estimate of the differences (u m+1 u m, q m+1 q m, ρ m+1 ρ m, h m+1 ρ m ), as in [2]. This yields the proof of Theorem 2. The reconstruction of e can be made in the same manner as in the linear case above, which completes the proof of Theorem 1. References 1. S.Mosconi, V.A.Solonnikov, On a problem of magnetohydrodynamics in a multiconnected domain, Nonlinear Anal., 74 No 2 (211), M.Padula, V.A.Solonnikov, On the free boundary problem of magnetohydrodynamics, Zapiski Nauchn. Semin. POMI 385 (21), G.Stroemer, About the equations of non-stationary magnetohydrodynamics, Nonlin. Anal. 52 (23),

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

The Pohozaev identity for the fractional Laplacian

The Pohozaev identity for the fractional Laplacian The Pohozaev identity for the fractional Laplacian Xavier Ros-Oton Departament Matemàtica Aplicada I, Universitat Politècnica de Catalunya (joint work with Joaquim Serra) Xavier Ros-Oton (UPC) The Pohozaev

Διαβάστε περισσότερα

L p approach to free boundary problems of the Navier-Stokes equation

L p approach to free boundary problems of the Navier-Stokes equation L p approach to free boundary problems of the Navier-Stokes equation e-mail address: yshibata@waseda.jp 28 4 1 e-mail address: ssshimi@ipc.shizuoka.ac.jp Ω R n (n 2) v Ω. Ω,,,, perturbed infinite layer,

Διαβάστε περισσότερα

ES440/ES911: CFD. Chapter 5. Solution of Linear Equation Systems

ES440/ES911: CFD. Chapter 5. Solution of Linear Equation Systems ES440/ES911: CFD Chapter 5. Solution of Linear Equation Systems Dr Yongmann M. Chung http://www.eng.warwick.ac.uk/staff/ymc/es440.html Y.M.Chung@warwick.ac.uk School of Engineering & Centre for Scientific

Διαβάστε περισσότερα

Generating Set of the Complete Semigroups of Binary Relations

Generating Set of the Complete Semigroups of Binary Relations Applied Mathematics 06 7 98-07 Published Online January 06 in SciRes http://wwwscirporg/journal/am http://dxdoiorg/036/am067009 Generating Set of the Complete Semigroups of Binary Relations Yasha iasamidze

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

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

ECE Spring Prof. David R. Jackson ECE Dept. Notes 2

ECE Spring Prof. David R. Jackson ECE Dept. Notes 2 ECE 634 Spring 6 Prof. David R. Jackson ECE Dept. Notes Fields in a Source-Free Region Example: Radiation from an aperture y PEC E t x Aperture Assume the following choice of vector potentials: A F = =

Διαβάστε περισσότερα

12. Radon-Nikodym Theorem

12. Radon-Nikodym Theorem Tutorial 12: Radon-Nikodym Theorem 1 12. Radon-Nikodym Theorem In the following, (Ω, F) is an arbitrary measurable space. Definition 96 Let μ and ν be two (possibly complex) measures on (Ω, F). We say

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

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

( ) 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

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

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

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

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

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

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

ORDINAL ARITHMETIC JULIAN J. SCHLÖDER

ORDINAL ARITHMETIC JULIAN J. SCHLÖDER ORDINAL ARITHMETIC JULIAN J. SCHLÖDER Abstract. We define ordinal arithmetic and show laws of Left- Monotonicity, Associativity, Distributivity, some minor related properties and the Cantor Normal Form.

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

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

Solvability of Brinkman-Forchheimer equations of flow in double-diffusive convection

Solvability of Brinkman-Forchheimer equations of flow in double-diffusive convection Solvability of Brinkman-Forchheimer equations of flow in double-diffusive convection Mitsuharu ÔTANI Waseda University, Tokyo, JAPAN One Forum, Two Cities: Aspect of Nonlinear PDEs 29 August, 211 Mitsuharu

Διαβάστε περισσότερα

Nonlinear Fourier transform for the conductivity equation. Visibility and Invisibility in Impedance Tomography

Nonlinear Fourier transform for the conductivity equation. Visibility and Invisibility in Impedance Tomography Nonlinear Fourier transform for the conductivity equation Visibility and Invisibility in Impedance Tomography Kari Astala University of Helsinki CoE in Analysis and Dynamics Research What is the non linear

Διαβάστε περισσότερα

Local Approximation with Kernels

Local Approximation with Kernels Local Approximation with Kernels Thomas Hangelbroek University of Hawaii at Manoa 5th International Conference Approximation Theory, 26 work supported by: NSF DMS-43726 A cubic spline example Consider

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

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

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

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

b. Use the parametrization from (a) to compute the area of S a as S a ds. Be sure to substitute for ds!

b. Use the parametrization from (a) to compute the area of S a as S a ds. Be sure to substitute for ds! MTH U341 urface Integrals, tokes theorem, the divergence theorem To be turned in Wed., Dec. 1. 1. Let be the sphere of radius a, x 2 + y 2 + z 2 a 2. a. Use spherical coordinates (with ρ a) to parametrize.

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

Lecture 34 Bootstrap confidence intervals

Lecture 34 Bootstrap confidence intervals Lecture 34 Bootstrap confidence intervals Confidence Intervals θ: an unknown parameter of interest We want to find limits θ and θ such that Gt = P nˆθ θ t If G 1 1 α is known, then P θ θ = P θ θ = 1 α

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

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

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

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

Main source: "Discrete-time systems and computer control" by Α. ΣΚΟΔΡΑΣ ΨΗΦΙΑΚΟΣ ΕΛΕΓΧΟΣ ΔΙΑΛΕΞΗ 4 ΔΙΑΦΑΝΕΙΑ 1

Main source: Discrete-time systems and computer control by Α. ΣΚΟΔΡΑΣ ΨΗΦΙΑΚΟΣ ΕΛΕΓΧΟΣ ΔΙΑΛΕΞΗ 4 ΔΙΑΦΑΝΕΙΑ 1 Main source: "Discrete-time systems and computer control" by Α. ΣΚΟΔΡΑΣ ΨΗΦΙΑΚΟΣ ΕΛΕΓΧΟΣ ΔΙΑΛΕΞΗ 4 ΔΙΑΦΑΝΕΙΑ 1 A Brief History of Sampling Research 1915 - Edmund Taylor Whittaker (1873-1956) devised a

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

A Lambda Model Characterizing Computational Behaviours of Terms

A Lambda Model Characterizing Computational Behaviours of Terms A Lambda Model Characterizing Computational Behaviours of Terms joint paper with Silvia Ghilezan RPC 01, Sendai, October 26, 2001 1 Plan of the talk normalization properties inverse limit model Stone dualities

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

Global nonlinear stability of steady solutions of the 3-D incompressible Euler equations with helical symmetry and with no swirl

Global nonlinear stability of steady solutions of the 3-D incompressible Euler equations with helical symmetry and with no swirl Around Vortices: from Cont. to Quantum Mech. Global nonlinear stability of steady solutions of the 3-D incompressible Euler equations with helical symmetry and with no swirl Maicon José Benvenutti (UNICAMP)

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

Testing for Indeterminacy: An Application to U.S. Monetary Policy. Technical Appendix

Testing for Indeterminacy: An Application to U.S. Monetary Policy. Technical Appendix Testing for Indeterminacy: An Application to U.S. Monetary Policy Technical Appendix Thomas A. Lubik Department of Economics Johns Hopkins University Frank Schorfheide Department of Economics University

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

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

On the Galois Group of Linear Difference-Differential Equations

On the Galois Group of Linear Difference-Differential Equations On the Galois Group of Linear Difference-Differential Equations Ruyong Feng KLMM, Chinese Academy of Sciences, China Ruyong Feng (KLMM, CAS) Galois Group 1 / 19 Contents 1 Basic Notations and Concepts

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

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

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

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

Eulerian Simulation of Large Deformations

Eulerian Simulation of Large Deformations Eulerian Simulation of Large Deformations Shayan Hoshyari April, 2018 Some Applications 1 Biomechanical Engineering 2 / 11 Some Applications 1 Biomechanical Engineering 2 Muscle Animation 2 / 11 Some Applications

Διαβάστε περισσότερα

The semiclassical Garding inequality

The semiclassical Garding inequality The semiclassical Garding inequality We give a proof of the semiclassical Garding inequality (Theorem 4.1 using as the only black box the Calderon-Vaillancourt Theorem. 1 Anti-Wick quantization For (q,

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

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

( 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

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

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

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

Higher Derivative Gravity Theories

Higher Derivative Gravity Theories Higher Derivative Gravity Theories Black Holes in AdS space-times James Mashiyane Supervisor: Prof Kevin Goldstein University of the Witwatersrand Second Mandelstam, 20 January 2018 James Mashiyane WITS)

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

Lecture 21: Properties and robustness of LSE

Lecture 21: Properties and robustness of LSE Lecture 21: Properties and robustness of LSE BLUE: Robustness of LSE against normality We now study properties of l τ β and σ 2 under assumption A2, i.e., without the normality assumption on ε. From Theorem

Διαβάστε περισσότερα

Iterated trilinear fourier integrals with arbitrary symbols

Iterated trilinear fourier integrals with arbitrary symbols Cornell University ICM 04, Satellite Conference in Harmonic Analysis, Chosun University, Gwangju, Korea August 6, 04 Motivation the Coifman-Meyer theorem with classical paraproduct(979) B(f, f )(x) :=

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

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

ΚΥΠΡΙΑΚΗ ΕΤΑΙΡΕΙΑ ΠΛΗΡΟΦΟΡΙΚΗΣ CYPRUS COMPUTER SOCIETY ΠΑΓΚΥΠΡΙΟΣ ΜΑΘΗΤΙΚΟΣ ΔΙΑΓΩΝΙΣΜΟΣ ΠΛΗΡΟΦΟΡΙΚΗΣ 6/5/2006

ΚΥΠΡΙΑΚΗ ΕΤΑΙΡΕΙΑ ΠΛΗΡΟΦΟΡΙΚΗΣ CYPRUS COMPUTER SOCIETY ΠΑΓΚΥΠΡΙΟΣ ΜΑΘΗΤΙΚΟΣ ΔΙΑΓΩΝΙΣΜΟΣ ΠΛΗΡΟΦΟΡΙΚΗΣ 6/5/2006 Οδηγίες: Να απαντηθούν όλες οι ερωτήσεις. Ολοι οι αριθμοί που αναφέρονται σε όλα τα ερωτήματα είναι μικρότεροι το 1000 εκτός αν ορίζεται διαφορετικά στη διατύπωση του προβλήματος. Διάρκεια: 3,5 ώρες Καλή

Διαβάστε περισσότερα

MA 342N Assignment 1 Due 24 February 2016

MA 342N Assignment 1 Due 24 February 2016 M 342N ssignment Due 24 February 206 Id: 342N-s206-.m4,v. 206/02/5 2:25:36 john Exp john. Suppose that q, in addition to satisfying the assumptions from lecture, is an even function. Prove that η(λ = 0,

Διαβάστε περισσότερα

DERIVATION OF MILES EQUATION FOR AN APPLIED FORCE Revision C

DERIVATION OF MILES EQUATION FOR AN APPLIED FORCE Revision C DERIVATION OF MILES EQUATION FOR AN APPLIED FORCE Revision C By Tom Irvine Email: tomirvine@aol.com August 6, 8 Introduction The obective is to derive a Miles equation which gives the overall response

Διαβάστε περισσότερα

Forced Pendulum Numerical approach

Forced Pendulum Numerical approach Numerical approach UiO April 8, 2014 Physical problem and equation We have a pendulum of length l, with mass m. The pendulum is subject to gravitation as well as both a forcing and linear resistance force.

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

Memoirs on Differential Equations and Mathematical Physics

Memoirs on Differential Equations and Mathematical Physics Memoirs on Differential Equations and Mathematical Physics Volume 31, 2004, 83 97 T. Tadumadze and L. Alkhazishvili FORMULAS OF VARIATION OF SOLUTION FOR NON-LINEAR CONTROLLED DELAY DIFFERENTIAL EQUATIONS

Διαβάστε περισσότερα

Abstract Storage Devices

Abstract Storage Devices Abstract Storage Devices Robert König Ueli Maurer Stefano Tessaro SOFSEM 2009 January 27, 2009 Outline 1. Motivation: Storage Devices 2. Abstract Storage Devices (ASD s) 3. Reducibility 4. Factoring ASD

Διαβάστε περισσότερα

THE SECOND ISOMORPHISM THEOREM ON ORDERED SET UNDER ANTIORDERS. Daniel A. Romano

THE SECOND ISOMORPHISM THEOREM ON ORDERED SET UNDER ANTIORDERS. Daniel A. Romano 235 Kragujevac J. Math. 30 (2007) 235 242. THE SECOND ISOMORPHISM THEOREM ON ORDERED SET UNDER ANTIORDERS Daniel A. Romano Department of Mathematics and Informatics, Banja Luka University, Mladena Stojanovića

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