Let V be a Hilbert space. Let f(x) = ∥x∥ for x ∈ V. Using the...
Let V be a Hilbert space. Let f(x) = ∥x∥ for x ∈ V. Using the
definition of Frechet differentiation, show that ∇f(x) = x for all
x ̸= 0. Furthermore, show that f(x) is not Frechet differentiable
at x = 0.
Solutions
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(a)For what range in ν is the function f(x) = x
ν
in Hilbert space? (4)
(b) Why are observables represented by Hermitian operators? Explain
fully. (3)
(c) Why are determinate states of Q eigenfunctions of Qˆ? Explain
fully. (4)
(d) Comment on the essential properties of reality, orthogonality
and completeness
for both the cases of discrete and continuous spectra.
Let X be a compact space and let Y be a Hausdorff space. Let f ∶
X → Y be continuous. Show that the image of any closed set in X
under f must also be closed in Y .
7. Show that the dual space H' of a Hilbert space H is a Hilbert
space with inner product (', ')1 defined by
(f .. fV)1 = (z, v)= (v, z), where f.(x) = (x, z), etc.
(3) Let V be a vector space over a field F. Suppose that a ? F,
v ? V and av = 0. Prove that a = 0 or v = 0.
(4) Prove that for any field F, F is a vector space over F.
(5) Prove that the set V = {a0 + a1x + a2x 2 + a3x 3 | a0, a1,
a2, a3 ? R} of polynomials of degree ? 3 is a vector space over...
Proof:
Let S ⊆ V be a subset of a vector space V over F. We have that S
is linearly dependent if and only if there exist vectors v1, v2, .
. . , vn ∈ S such that vi is a linear combination of v1, v2, . . .
, vi−1, vi+1, . . . , vn for some 1 ≤ i ≤ n.
Let (X,d) be a metric space. The graph of f : X → R is the set
{(x, y) E X X Rly = f(x)}. If X is connected and f is continuous,
prove that the graph of f is also connected.
Let V be the vector space of all functions f : R → R. Consider
the subspace W spanned by {sin(x), cos(x), e^x , e^−x}. The
function T : W → W given by taking the derivative is a linear
transformation
a) B = {sin(x), cos(x), e^x , e^−x} is a basis for W. Find the
matrix for T relative to B.
b)Find all the eigenvalues of the matrix you found in the
previous part and describe their eigenvectors. (One...