Let
be a topological space, let
and
be paths in
such that
.
Show that
defined by
is a path in

Let be a topological space, let and be paths in such that . Show that defined...
Let V be a Hilbert space. Let S1 and S2 be two hyperplanes in V defined by Let be given. We consider the projection of y onto , i.e., the solution of (1) (a) Prove that is a plane, i.e., if , then for any . (b) Prove that z is a solution of (1) if and only if and (2) (c) Find an explicit solution of (1). ( d) Prove the solution found in part (c) is unique. We...
Let
be an orthonormal set of a Hilbert space. Let
and
be two vectors in H. Show that
converges absolutely, and that
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Let
be a metric space and let
be the topology on
induced by
, and let
be a compact space. Prove that
is compact.
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Let
be an inner product space (over
or
), and
. Prove that
is an eigenvalue of
if and only if
(the conjugate of
) is an eigenvalue of
(the adjoint of
).
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Let T be defined by a) Show that the and that the eigenvalues are given by 1 and -1 b) Determine the eigenvectors We were unable to transcribe this imageTEB TEB
Let
, and let
be a polynomial. Show that if is an
eigenvalue of , then is an
eigenvalue of .
Hint: this follows from the more precise statement that if
is a
non-zero eigenvector for for the eigenvalue
, then is also an
eigenvector for for the
eigenvalue . Prove
this.
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Let X be a banach space such that X= C([a,b]) where - ab+ with the sup
norm. Let x and f X. Show
that the non linear integral equation
u(x) = (sin
u(y) dy + f(x) ) has a solution u X. (the integral is
from a to b).
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Let a,b and c be real numbers and consider the function defined by . For which values of a,b, and c is f one-to-one and or onto ? Show all work. f:R→R We were unable to transcribe this imageWe were unable to transcribe this image f:R→R
Show that the tensor defined from the metric tensor satisfies the symmetry property Evaluate the contracted tensors and in four dimensions and in general n dimensions We were unable to transcribe this imageWe were unable to transcribe this imageWe were unable to transcribe this imageWe were unable to transcribe this imageWe were unable to transcribe this image
Let be independent, identically distributed random variables with . Let and for , . (a) Show that is a martingale. (b) Explain why satisfies the conditions of the martingale convergence theorem (c) Let . Explain why (Hint: there are at least two ways to show this. One is to consider and use the law of large numbers. Another is to note that with probability one does not converge) (d) Use the optional sampling theorem to determine the probability that ever attains...