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Various topics in linear operators and inequalities in the context of hilbert spaces. It includes definitions, proofs, and examples of the schwartz inequality, bessel's inequality, and the graph of a linear operator. The document also explores the boundedness and compactness of certain operators, as well as the concept of a closed operator.
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Question 1. Let X and Y be two normed linear spaces and let T : X → Y be a bounded linear operator from X to Y.
a. Define the norm of the operator T.
b. Find the norm of the operator T : Lp(0, 2) → Lp(0, 2), 1 ≤ p < ∞, where
T f (t) = t^2 f (t), t ∈ (0, 2).
Question 2. Let X and Y be metric linear vector spaces and let T : X → Y be a linear operator from X to Y.
a. Define the graph of the operator T.
b. Give definition of a closed operator.
c. Show that the operator T in L^2 (0, 1) with D(T ) = C[0, 1], such that
T f = f (0),
is not closable.
Question 3.
a. What is the Schwartz inequality in a Hilbert space? Prove it.
b. What is the Schwartz inequality for the Hilbert space L^2 (R).
c. What is Bessel’s inequality? Prove it.
Question 4. Let H^1 (0, 2 π) ⊂ L^2 (0, 2 π) be a Hilbert space with the scalar product given by
(f, g) =
∫ (^2) π
0
f ′(x)g′(x) + f (x)g(x)
dx
and let en(x) = aneinx.
a. Show that {en}n∈Z is an orthogonal system in H^1 (0, 2 π). Find the coefficients an, such that it is an orthonormal system.
b. Find a function f ∈ H^1 (0, 2 π) such that f is orthogonal to all en, n ∈ Z, in H^1 (0, 2 π).
Question 5.
a. Show that T : L^2 (0, ∞) → L^2 (0, ∞) defined by
T f (x) =
0
x + y
f (y) dy
is bounded.
b. Show that T is not compact.