Closed Subspace - Hilbert Space - Exam, Exams of Mathematics

This is the Past Exam of Hilbert Space which includes Unit Sphere, Normed Space, Distance, Norm Derived, Hilbert Space, Parallelogram, Cauchy Schwartz Inequality, Equality Holds, Linearly Dependent etc. Key important points are: Closed Subspace, Number Fields, Unique Vector, Equivalent, Meant, Norm, Vector Space, Sequences, Complex Sequences, Cauchy Schwarz Inequality

Typology: Exams

2012/2013

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LANCASTER UNIVERSITY
2011 EXAMINATIONS
PART II (Final Year)
MATHEMATI C S & S TAT I S T I C S
Math 317 Hilbert Space 2 hours
You should answer ALL Section A questions and TWO Section B questions.
In Section A there are questions worth a total of 50 marks, but the maximum mark that you can
gain there is capped at 40.
Kdenotes one of the number fields Ror C.
Recall the following result from the course.
Theorem Let Ube a closed subspace of a Hilbert Space H.
(a) For each xH,thereisauniquevectorxUUsuch that
xxU=dist(x, U ).
(b) Let xH.ForuU, the following are equivalent:
(i) (xu)U;
(ii) u=xU.
please turn over
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LANCASTER UNIVERSITY

2011 EXAMINATIONS

PART II (Final Year) MATHEMATICS & STATISTICS Math 317 Hilbert Space 2 hours

You should answer ALL Section A questions and TWO Section B questions. In Section A there are questions worth a total of 50 marks, but the maximum mark that you can gain there is capped at 40. K denotes one of the number fields R or C. Recall the following result from the course.

Theorem Let U be a closed subspace of a Hilbert Space H.

(a) For each x ∈ H, there is a unique vector xU ∈ U such that ‖x − xU ‖ = dist(x, U ).

(b) Let x ∈ H. For u ∈ U , the following are equivalent: (i) (x − u) ∈ U ⊥; (ii) u = xU.

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SECTION A

A1. (a) What is meant by a norm on a vector space V over K? [5] (b) Let ^1 denote the set of all sequences z = (zn)n≥ 1 , where zn ∈ C for each n ∈ N, such that ‖z‖ 1 := ∑∞ n=1 |zn| < ∞. Show that ^1 is a vector space and ‖ · ‖ 1 is a norm on it. [HINT: You may assume that the set of all complex sequences z = (zn), forms a vector space over C.] [10]

A2. (a) State the Cauchy–Schwarz inequality for an inner product 〈 , 〉 on a complex vector space, giving the necessary and sufficient conditions for equality to hold. [5] (b) Show that (^) ∫ (^) π 0 3 t√sin t dt ≤ π√ 6 π. [8]

(c) Prove that the inequality in (b) is strict. [5]

A3. Let U be a closed subspace of a Hilbert Space H. (a) What is meant by U ⊥, the orthogonal complement of U? [3] (b) Show that U ⊥^ is a subspace of H. [4] (c) For x ∈ H, what is meant by the distance of x from U , dist(x, U )? [3] (d) Prove that (i) implies (ii), in the theorem recalled on the cover page. [7]

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SECTION B continued

B3. Let H and K be Hilbert spaces. (a) What is meant by saying that an operator T from H to K is bounded? [4] (b) (i) Let v ∈ H and let ϕ : H → C be the linear functional given by ϕ(x) = 〈v, x〉. Show that ϕ is bounded and ‖ϕ‖ = ‖v‖. [8] (ii) State the Riesz–Fr´echet Theorem. [4] (iii) Prove that the linear functional ϕ on ^2 given by

ϕ(z) =

∑^ ∞

n=

2 −nzn

is bounded, and find its norm. [6] (c) Let T be the operator on L^2 [0, 1] given by (T f )(x) =

∫ (^) x 0 f (t) dt. (i) Show that T is bounded. [4] [HINT: Express (T f )(x) in the form 〈gx, f 〉 for some function gx(t), and apply the Cauchy–Schwarz inequality.] (ii) Show that √^1 3 ≤ ‖T^ ‖ ≤^

√^1

2.^

[4]

[HINT: Apply T to the constant function equal to 1.]

end of exam