B5.1: Techniques of Applied Mathematics MT2014 Problem Sheet 5 Fredholm Alternative Theorem 1. Determine the parameter values (A, B) that yield existence of a solution for each inhomogeneous boundary value problem: (a) For 0 ≤ x ≤ 2π: d2 y + y = A sin x + B cos x + 2 sin(x + π3 ) + sin3 x dx2 y(0) = y(2π) y ′ (0) = y ′ (2π). (b) d2 y dy +2 +y =1 y ′ (0) + y(0) = A y ′ (1) + y(1) = 3. dx2 dx Hint: Recall Problem sheet 2 Q2: the homogeneous adjoint problem has solution w0 (x) = ex 2. Legendre’s equation and the Fredholm Alternative – Consider bounded solutions of the eigenvalue problem dy d2 y − λy = 0, −1 ≤ x ≤ 1. (1) (1 − x2 ) 2 − 2x dx dx (a) Writing (1) as Ly = λry, use the inner product relation to directly compute L∗ and show that the boundary terms vanish. Why is no information given about the boundary terms? (b) Convert to Sturm-Liouville form. What orthogonality relation do the eigenfunctions satisfy? (c) When λ = −n(n + 1) for integer n, (1) is called Legendre’s equation, whose solutions form a sequence of orthogonal polynomials. We will construct the first four, as follows: i. Let y0 (x) = 1. Show that this an eigenfunction with λ0 = 0. ii. Let uk (x) = xk for k = 1, 2, 3, . . . . Use the Gram-Schmidt orthogonalization process1 with the orthogonality relation from (b) to construct orthogonal functions y1 , y2 , y3 from u1 , u2 , u3 . iii. Evaluate Lyk for k = 1, 2, 3 to show that they are in fact eigenfunctions with λk = −k(k + 1). (d) In order for the inhomogeneous P problem Ly = f (x) to have a solution in the form of an eigenfunction expansion, y(x) = k ck yk (x), what condition must f (x) satisfy? (e) Consider the equation Ly = −2y1 (x). Explain via Fredholm Alternative why this problem should have a solution, but non-unique. Verify by direct substitution that 1+x +B y = y1 (x) + A ln 1−x is a solution for any values of A and B. What can you conclude about the constant A? (f) Find the general solution of Ly = 1 by direct integration. Is this solution “acceptable”? Does this match your reasoning in (d)? 1 Look up from Linear Algebra, or use this reminder: To construct an orthogonal set of vectors {~vk } from an ordered set of linearly independent vectors {~ uk }, subtract-off from ~ uk all of the projections of ~ uk onto the previously generated ~vj (j = 0, · · · , k − 1) vectors: ~v0 = ~ u0 u1 ,~ v0 i ~v1 = ~ ~v u1 − h~ h~ v0 ,~ v0 i 0 h~ u2 ,~ u2 ,~ v1 i ~v2 = ~ ~v u2 − h~v0 ,~vv00 ii ~v0 − h~ h~ v1 ,~ v1 i 1 h~ u3 ,~ v0 i h~ u3 ,~ v1 i u3 ,~ v2 i ~v3 = ~ ~v u3 − h~v0 ,~v0 i ~v0 − h~v1 ,~v1 i ~v1 − h~ h~ v2 ,~ v2 i 2 and so on. Observe that h~vk , ~vj i = 0 for any k 6= j.
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