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These are the notes of Exam of Applied Analysis which includes Interpretation, Product and Norm Being, Asymptotic Estimate, Self Adjoint, Function, Minimizing The Functional etc. Key important points are: Policy on Misprints, Nevertheless, Indicate, Hilbert Space, Inner Product and Norm, Compact Linear Operator, Eigenvalue, Including Boundary Conditions, Courant Minimax Principle, Schwartz Space
Typology: Exams
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August 13, 2010
Policy on misprints: The qualifying exam committee tries to proofread exams as carefully as possible. Nevertheless, the exam may contain a few misprints. If you are convinced a problem has been stated incorrectly, in- dicate your interpretation in writing your answer. In such cases, do not interpret the problem so that it becomes trivial.
Instructions: Do any 3 of the 4 problems in this part of the exam. Show all of your work clearly. Please indicate which of the 4 problems you are skipping.
(a) Define the term compact linear operator on H. (b) Let K : H → H be compact. Show: If λ 6 = 0 is an eigenvalue of K, then it has finite multiplicity.
− 1 f^ (x)g(x)w(x)dx, where^ w^ ∈^ C[−^1 ,^ 1],^ w(x)^ >^ 0, and w(−x) = w(x). Let {φn(x)}∞ n=0 be the orthogonal polynomials gener- ated by using the Gram-Schmidt process on { 1 , x, x^2.. .}. Assume that φn(x) = xn^ + lower powers.
(a) Show that φn(−x) = (−1)nφn(x). (b) Show that φn is orthogonal to all polynomials of degree ≤ n − 1. (c) Show that φn(x) satisfies this recurrence relation: φn+1(x) = xφn(x) − cnφn− 1 (x), n ≥ 1, where cn =
〈φn, xn〉 ‖φn− 1 ‖^2
0 (φ
′ (^2) + qφ (^2) )dx and H[φ] = ∫^1 0 φ
(^2) dx. Throughout, we require that φ ∈ C(1)[0, 1] and that φ(0) = 0.
(a) Let σ ≥ 0. Minimize D[φ] + σφ^2 (1) subject to the constraint H[φ] = 1. Find the resulting Sturm-Liouville eigenvalue problem, including boundary conditions at x = 1.
(b) State the Courant Minimax Principle. Consider Dirichlet bound- ary conditons φ(0) = 0, φ(1) = 0. Order the first and second second eigenvalues for the two problems; that is if a, b, c, d are the four eigenvalues, then determine their aorder, a ≤ b ≤ c ≤ d. Justify your answer.
R f^ (t)e
iωtdt.
(a) Define convergence in S. Sketch a proof: The Fourier transform F is a continuous linear operator mapping S into itself. Briefly explain how to use this to define the Fourier transform of a tem- pered distribution. This fails for D′. Why? (b) You are given that if T ∈ S′, then T̂ (k)^ = (−iω)k^ T̂ , where k = 1 , 2 ,.... Let T (x) = 0 if x /∈ (0, 3). On [0, 3], let T be the linear spline shown. Find T̂. (Hint: What is T ′′?)
0 0.5 1 1.5 2 2.5 3
−0.
0
1
x
y
(1,1) (^) (2,1)
(0,0) (3,0)
y=T(x)
(a) Which of the two elements is unisolvent? Prove it! (b) Show that the unisolvent element leads to a finite element space, which is not H^1 -conforming.
(a) Derive the semi-discrete approximation of this problem using lin- ear finite elements over a uniform partition of (0, 1). Write it as a system of linear ordinary differential equations for the coefficient vector. (b) Further, derive discretizations in time using backward Euler and Crank-Nicolson methods, respectively. (c) Show that both fully discrete schemes are unconditionally stable with respect to the initial data in the spatial L^2 (0, 1)-norm.