Normed Vector Space - Real Analysis - Exam, Exams of Mathematics

These are the notes of Exam of Real Analysis . Key important points are: Normed Vector Space, Convergence of Function Series, Measure Spaces, Borel Measurable Function, Hausdorff Space, Stone-Weierstrass Theorem, Continuous Functions

Typology: Exams

2012/2013

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Real analysis qualifying exam
August 2012
Each problem is worth ten points. Work each problem on a separate piece of paper.
1. Let (X, M, µ)be a measure space. Prove that the normed vector space L1(X, µ)is complete.
You may use any results except the convergence of function series.
2. Fix two measure spaces (X, M, µ)and (Y, N, ν )with µ(X), ν(Y)>0. Let f:XC,
g:YCbe measurable. Suppose f(x) = g(y) (µν)-a.e. Show that there is a constant aC
such that f(x) = a µ-a.e. and g(y) = a ν -a.e.
3. Let f:R3Rbe a Borel measurable function. Suppose for every ball B,fis Lebesgue
integrable on Band RBf(x)dx = 0. What can you deduce about f? Justify your answer carefully.
4. Let Xbe a locally compact Hausdorff space. Denote by C0(X)the space of complex-valued
continuous functions on Xwhich vanish at infinity, and by Cc(X)the subset of compactly sup-
ported functions. Use an appropriate version of the Stone-Weierstrass theorem to prove that Cc(X)
is dense in C0(X).
5. Give an example of each of the following. Justify your answers.
(a) A nowhere dense subset of Rof positive Lebesgue measure.
(b) A closed, convex subset of a Banach space with multiple points of minimal norm.
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Real analysis qualifying exam

August 2012

Each problem is worth ten points. Work each problem on a separate piece of paper.

  1. Let (X, M, μ) be a measure space. Prove that the normed vector space L^1 (X, μ) is complete. You may use any results except the convergence of function series.
  2. Fix two measure spaces (X, M, μ) and (Y, N , ν) with μ(X), ν(Y ) > 0. Let f : X → C, g : Y → C be measurable. Suppose f (x) = g(y) (μ ⊗ ν)-a.e. Show that there is a constant a ∈ C such that f (x) = a μ-a.e. and g(y) = a ν-a.e.
  3. Let f : R^3 → R be a Borel measurable function. Suppose for every ball B, f is Lebesgue integrable on B and

B f^ (x)^ dx^ = 0. What can you deduce about^ f^? Justify your answer carefully.

  1. Let X be a locally compact Hausdorff space. Denote by C 0 (X) the space of complex-valued continuous functions on X which vanish at infinity, and by Cc(X) the subset of compactly sup- ported functions. Use an appropriate version of the Stone-Weierstrass theorem to prove that Cc(X) is dense in C 0 (X).
  2. Give an example of each of the following. Justify your answers.

(a) A nowhere dense subset of R of positive Lebesgue measure. (b) A closed, convex subset of a Banach space with multiple points of minimal norm.

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  1. Let

S =

f ∈ L∞(R) : |f (x)| ≤

1 + x^2

a.e.

Which of the following statements are true? Prove your answers.

(a) The closure of S is compact in the norm topology. (b) S is closed in the norm topology. (c) The closure of S is compact in the weak-∗ topology.

  1. Let T be a bounded operator on a Hilbert space H. Prove that ‖T ∗T ‖ = ‖T ‖^2. State the results you are using.

(a) Let g be an integrable function on [0, 1]. Does there exist a bounded measurable function f such that ‖f ‖∞ 6 = 0 and

0 f g dx^ =^ ‖g‖ 1 ‖f^ ‖∞? Give a construction or a counterexample. (b) Let g be a bounded measurable function on [0, 1]. Does there exist an integrable function f such that ‖f ‖ 1 6 = 0 and

0 f g dx^ =^ ‖g‖∞ ‖f^ ‖ 1? Give a construction or a counterexample.

  1. Let F : R → C be a bounded continuous function, μ the Lebesgue measure, and f, g ∈ L^1 (μ). Let

f^ ˜ (x) =

F (xy)f (y) dμ(y), ˜g(x) =

F (xy)g(y) dμ(y).

Show that f˜ and ˜g are bounded continuous functions which satisfy ∫ f ˜g dμ =

f g dμ.˜

  1. Let μ, {μn : n ∈ N} be finite Borel measures on [0, 1]. μn → μ vaguely if it converges in the weak-∫ ∗ topology on M [0, 1] = (C[0, 1])∗. μn → μ in moments if for each k ∈ { 0 } ∪ N,

[0,1] x

k (^) dμn(x) → ∫ [0,1] x

k (^) dμ(x). Show that μn → μ vaguely if and only if μn → μ in moments.