Problems for Metric and Hilbert Spaces February 2014
Arun Ram
Department of Mathematics and Statistics
University of Melbourne
Parkville, VIC 3010 Australia
aram@unimelb.edu.au
Last update: 27 February 2014
Homework
-
Define the standard metric on and show that with this metric, is a metric space.
-
Let be the standard metric on Show that is a
metric subspace of
-
Let be a set. Define the standard metric on and show that with
this metric, is a metric space.
-
Let
be metric spaces. Define the product metric on
and show that
is a metric space.
-
Let be a normed vector space.
Define the standard metric on and show that with this metric, is a metric space.
-
Define the standard metric on and show that
with this metric, is a metric space.
-
Define the standard norm on and show that
with this norm, is a normed vector space.
-
Define the norm on
and show that
is a normed vector space.
-
Let be a nonempty set. Define the set of bounded functions
and the sup norm on Show that
with this norm, is a normed vector space.
-
Let with
Define the set of continuous functions
and the on
Show that
with this norm, is a normed vector space.
-
Let with
Show that the set
of bounded continuous functions is a metric subspace of
with the
-
Let be a metric space and let
be a sequence in Show that is
unique, if it exists.
-
Let
be metric spaces. Show that a sequence
in
converges if and only if each of the sequences (in
converges.
-
Let be a metric space. Show that the metric
given by
is equivalent to
-
Let be a metric space. Show that
is a bounded metric space, where
-
Give an example of and two metrics and on
such that is equivalent to and
is not bounded and
is bounded.
-
Let
be metric spaces and let
be the product metric space. Let
given by
Show that is a metric on
and is equivalent to
-
Let
be metric spaces and let
be the product metric space. Let
be given by
Show that is a metric on
and is equivalent to
-
Let be a set and let and be metrics on
Show that and are equivalent if and only if and
satisfy the condition
if then there exist
such that
-
Let be a metric space. Define the metric space topology on and show
that it is a topology on
-
Let be a set and let be the discrete metric on Determine which
subsets of are in the metric space topology on
-
Give two metrics and on such that
is open in the metric space topology on
and is not open in the metric space topology on
-
Let be a topological space and let be a subset of Let
be the interior of Show that
is open if and only if
-
Let be a topological space and let be a subset of Let
be the interior of Show that
is the set of interior points of
-
Let be a topological space and let Consider the following
definitions of "neighborhood of
-
A neighborhood of is a set such that
-
A neighborhood of is a set such that there exists an open set
of with
Show that these two definitions of "neighborhood of are equivalent.
-
Let be a topological space and let be a subset of Let
be the closure of Show that
is closed if and only if
-
Let be a topological space and let be a subset of
Let Show that is a closed point of
if and only if there exists a sequence
of points in such that
-
Let be a metric space and let and
Show that the closed ball
is a closed set in the metric space topology on
-
Give an example of a metric space and a point
such that
-
Let be a metric space and let and
Show that
-
In with the usual topology give an example of
-
a set which is both open and closed,
-
a set which is open and not closed,
-
a set which is closed and not open,
-
a set which is not open and not closed.
-
Let with the usual topology. Show that
-
is not open and not closed,
-
is not open and not closed.
-
Let be a set with the discrete metric Show that every subset of
is both open and closed (in the metric space topology on
-
Let be a set and let be a collection of subsets of
Show that is the set of closed sets for a topology on if and only if satisfies
-
finite unions of elements of are in
-
Arbitrary intersections of elements of are in
-
and
-
Let be a topological space and let with the subspace topology. Show that
-
is open in if and only if
for some set which is open in
-
is closed in if and only if there exists
closed in such that
-
Let be topological spaces
and let have the
product topology. Show that
-
If
are open then
is open.
-
If
are closed then
is closed.
-
Let
be metric spaces and let be the product metric on
Show that the metric space topology on
is the product topology for
where have the metric
space topology.
-
Let be a topological space and let Show that if
satisfies
if then
and
then
-
Let be a topological space and let Show that
is a closed subset of
-
Let with the usual topology.
-
Determine (with proof)
-
Determine (with proof, of course).
-
Let be a metric space. Let
Show that is closed (in the metric space topology on
-
Let be a metric space and let
Show that is isolated if and only if there exists
such that
-
Let with the usual topology. Show that
-
is a discrete set in
-
is a discrete set in
-
Let be a discrete topological space. Show that every subset of is both open and closed.
-
Let be a topological space. Show that is discrete if and only if the only convergent sequences are those which
are eventually constant.
-
Let with the usual topology.
-
Show that is dense in
-
Show that is dense in
-
Show that is nowhere dense in
-
Show that is nowhere dense in
-
Show that is nowhere dense in
-
Let be the Cantor set in where has the usual topology.
-
Show that is closed in
-
Show that does not contain any interval in
-
Show that has nonempty interior.
-
Show that is nowhere dense in
-
Let and
be metric spaces and let be a function. Let
Show that is continuous at if and only if satisfies:
if then there exists
such that
if and
then
-
Let and be topological spaces and let
be a function. Show that is continuous if and only if satisfies:
if then is continuous at
-
Let and be metric spaces and let
be a function. Let Show that is continuous at
if and only if satisfies:
if then there exists
such that
-
Let and be metric spaces and let
be a function. Let Show that is continuous at
if and only if satisfies
if is a sequence
in and
then
-
Let and be metric spaces and let
be a function. Let Show that is continuous at
if and only if satisfies:
if is a convergent
sequence in then
-
Let and be topological spaces. Let
be a function. Show that is continuous if and only if satisfies:
if is closed then
is closed in
-
Let and be topological spaces and let
and
be continuous functions. Show that is a continuous function.
-
Let be topological spaces and let
be a continuous function. Let Show that the restriction of
to
is continuous.
-
Let
and be metric spaces. Let
and
be functions. Define
by
Let Show that is continuous at if and only if
and are continuous at
-
Let
and be metric spaces. Let
and
be functions. Define
by
Let Show that is continuous if and only if and
are continuous.
-
Let be a metric space and let
and be continuous functions.
-
Show that is continuous.
-
Show that is continuous.
-
Show that is continuous.
-
Show that if satisfies:
if then
then is continuous.
-
Let be a topological space and let and
be continuous functions.
-
Show that is continuous.
-
Show that is continuous.
-
Show that is continuous.
-
Show that if satisfies:
if then
then is continuous.
-
Let be a metric space. Show that
is continuous.
-
Let be given by
If let
be given by
If let
be given by
-
Let Show that
is continuous.
-
Let Show that
is continuous.
-
Show that is not continuous at
-
Give an example of metric spaces and and a function
such that
-
if then
is continuous,
-
if then
is continuous,
-
is not continuous.
-
Let be a topological space and let and
be closed subsets of such that
Let be a topological space and let
and
be continuous functions such that
if then
Define by
Show that is continuous.
-
Show that the function given by
is uniformly continuous.
-
Show that the function given by
is not
uniformly continuous.
-
Let and
be metric spaces and let be a function. Show that if is
uniformly continuous then is continous.
-
Let and
be metric spaces. Let be a sequence of functions
and let
be a function. Show that
converges uniformly to if and only if
-
Let be a sequence of continuous functions from a metric space
to a metric space
Suppose that converges uniformly to
Show that
is continuous.
-
Let be a metric space and let
be a sequence in Show that if
is a Cauchy sequence then is bounded.
-
Let be a metric space and let
be a sequence in Show that if
converges then
is a Cauchy sequence.
-
Let be a metric space and let
be a sequence in Show that if
is a Cauchy sequence and contains a convergent subsequence then converges.
-
Give an example of a metric space and a Cauchy sequence
in
that does not converge.
-
Give an example of a metric space that is not complete.
-
Show that with the usual metric is a complete metric space.
-
Let be a complete metric space. Let
be a subspace of Show that if is closed then
is complete.
-
Give an example of a metric space and a subspace
such that is a complete metric
space and is not complete.
-
Let be a metric space and let be a
subspace of Show that if is
complete then is a closed subset of
-
Let
be metric spaces and let
be the product metric space. Show that if
are complete then
is complete.
-
Let and
be metric spaces and let be the set of bounded
continuous functions with the metric given by
Show that if is complete then
is a complete metric space.
-
Let and
be metric spaces and let be the set of
bounded continuous functions with the metric
given by
Show that
is a metric space.
-
Let be a metric space and let and
Show that if and are open and dense
then is open and dense.
-
Let with the usual metric and let and
Show that and
are dense and
-
Let with the usual metric and let
be an enumeration of For
let
-
Show that if then
is open and dense.
-
Show that
-
Let be a complete metric space and let
be a sequence of open and dense subsets of show that
is dense in
-
Let be a complete metric space and let
be a sequence of nowhere dense subsets of Show that
has empty interior.
-
Show that with the standard topology, cannot be be written as a countable union of nowhere dense sets.
-
Let with the standard topology. Let
be an enumeration of
-
Show that is nowhere dense.
-
Determine the interior of
-
Let be a complete metric space and let
be a sequence of continuous functions
Assume that
if then
is bounded in
Show that there exists and open set such that
there exists such that
if and then
-
Show that the completion of with the usual metric is
with the usual metric.
-
Let and
be metric spaces and let be an isometry. Show that is injective.
-
Give an example of an isometry that is not surjective.
-
Let be a metric space. Show that a completion of
exists.
-
Let be a metric space. Show that the completion of
is unique (if it exists).
-
Let be a metric space. Let
and
be completions of Show that there is a surjective isometry
such that
-
Let and let
-
Show is a topology on
-
Show that there does not exist a metric
such that is the metric space topology of
-
Let be a complete metric space and let be a contraction.
Show that has a unique fixed point.
-
Let with
Let be a complete metric space and let be a
Let
and
for
-
Show that the sequence
converges in
Let
-
Show that
-
Show that
-
Let be an open subset of Let
be a continuous function which satisfies the Lipschitz
condition with respect to the second variable:
There exists such that
if
then
Show that if then
there exists such that
has a unique solution
such that
-
Let be a normed
vector space. Show that
is complete if and only if every norm absolutely convergent series is convergent in
-
Let be the set of linear combinations of step functions
Let
for
-
show that
is not a norm on
-
Show that
is not a metric on
-
Let be the set of linear combinations of step functions Let
be a series in which is norm absolutely convergent. Show that there exists a full set in
on which
converges.
-
Let be the set of linear combinations of step functions
Let
be a series in which is norm absolutely convergent. Show that
almost everywhere if and only if the limit of the norms of the partial sums of converge to
-
Let be the set of functions which are equal almost everywhere to limits of norm absolutely
convergent series in where is the set of linear combinations of step functions
Define
for
-
Show that
is a norm on
-
Show that
is a metric on
-
Let be a closed and bounded interval in Let
be a sequence in Show that there exists a subsequence
of
such that
converges in
-
Let be a compact topological space. Let be a closed subset of
Show that is compact.
-
Let be a metric space and let be a compact subset of Show that
is closed and bounded.
-
Let
and let
-
Show that
is a metric on
-
Let
Show that is closed and bounded.
-
Show that is not compact.
-
Let Show that is compact if and only if
is closed and bounded.
-
Let and
be metric spaces and let be a continuous function. Let be a
compact subset of Show that is
compact in
-
Let be a compact metric space. Let be a continuous
function. Show that attains a maximum and a minimum value.
-
Let be a compact metric space. Let be a continuous
function. Show that is uniformly continuous.
-
Let be a set with the discrete metric. Show that is compact if and only if is finite.
-
Let be a metric space and let Show that if
is totally bounded then is bounded.
-
Let with metric given by
-
Show that is bounded.
-
Show that is not totally bounded.
-
Let be a metric space and let Show that the following are equivalent:
-
Every sequence in has a convergent subsequence.
-
is complete and totally bounded.
-
Every open cover of has a finite subcover.
-
Let be a topological space. Show that is compact if and only if satisfies
if is a collection of closed sets such that
if and
then
then
-
Let be a topological space and let Assume
is compact. Show that if is closed then is compact.
-
Let be a topological space and let Assume
is Hausdorff. Show that if is compact then is closed.
-
Show that a compact Hausdorff space is normal.
-
Let and be topological spaces and let
be a continuous function. Let Show that if is compact then
is compact.
-
Let and be topological spaces and let
be a continuous function. Assume is a bijection, is compact and is Hausdorff. Show that the
inverse function is continuous.
-
Let and
Let
be given by
-
Show that is continuous.
-
Show that is a bijection.
-
Show that
is not continuous.
-
Why does this not contradict the previous problem?
-
Let be a set with
-
Show that with the discrete topology is disconnected.
-
Show that with the indiscrete topology is connected.
-
Let and be the subspaces of given by
and
Show that and
are disconnected.
-
Let with the discrete topology. Let be a
topological space. Show that is connected if and only if every continuous function
is constant.
-
Let and be topological spaces and let
be a continuous function. Let Show that if is connected then
is connected.
-
Let be a connected topological space and let Show that if
is connected then the closure of
is connected.
-
Let and
as subsets of
Show that is connected, is connected and is not
connected.
-
Let be a topological space. Let be a collection of subsets of such that
Show that is connected.
-
Let be a topological space such that
if then there exists such that
and is connected.
Show that is connected.
-
Let be a topological space. For let be the
connected component containing
-
Let Show that is connected and
closed.
-
Show that the connected components of partition
-
Let be a set with the discrete topology. Determine (with proof) the connected components of .
-
Show that a subset of is connected if and only if it is an interval.
-
Carefully state the Intermediate Value Theorem.
-
State and prove the Intermediate Value Theorem.
-
Let be a connected topological space and let be a
continuous function. Show that if and
such that
then there exists such that
-
Let be a topological space. Show that if is path connected then is connected.
-
Let
-
Let be given by
Show that is a homeomorphism.
-
Show that is connected.
-
Show that is connected.
-
Show that is not path connected.
-
Let Let
with
Show that
is a Banach space.
-
Let with
Show that
is a Banach space.
-
Let be the vector space of sequences
in such that
Let
Show that
is a Banach space.
-
Let be the vector space of bounded sequences
in
with
Show that
is a Banach space.
-
Let be a topological space. Let or
Let be the vector space of
bounded continuous functions with
Show that
is a Banach space.
-
Let be a normed vector space.
Show that is a Banach space if
and only if every norm absolutely convergent series is convergent.
-
Let be a normed vector space.
Show that a Schauder basis of is a total set.
-
Let be a normed vector space.
Show that if has a Schauder basis then is separable.
-
Let be a normed vector space.
Show that there exists a countable dense set in is and only if there exists a countable total set in
-
Let
with in the entry. Show that
is a Schauder basis of
-
Show that is not separable.
-
Show that does not have a Schauder basis.
-
Let
be the vector space of bounded continuous functions on
-
Show that the set of polynomials is dense in the space of continuous functions on
with the supremum norm.
-
Show that the polynomials with rational coefficients form a countable dense set in
-
Show that is separable.
-
Let be a Banach space.
-
Show that if then the closed unit
ball in is compact.
-
Show that if is infinite dimensional then the closed unit ball in is not compact.
-
Let be a finite dimensional vector space. Let and
be norms on
Show that and
are equivalent.
-
Let be a normed vector space.
Show that if is finite dimensional then the closed unit ball in is compact.
-
Let be an infinite dimensional
Banach space. Construct a sequence
of unit vectors in such that
if and
then
-
Let with
show that is
a Hilbert space.
-
Let be the set of sequences in
such that
Let
Show that
is a Hilbert space.
-
Carefully define the space and
show that if
then
is a Hilbert space.
-
Let
be an inner product space and let
for Show that
if then
-
Let be a normed vector space.
Define
for Show that if
satisfies
if then
then is a norm on
-
Let
be an inner product space. Show that the Gram-Schmidt process produces an orthonormal basis of
-
Let
be an inner product space. Let be a vector subspace of Show that if
admits an orthogonal projection then is unique.
-
Let
be a Hilbert space. Let be a vector subspace of Show that if there is an orthogonal projection
onto then is closed.
-
Let
be a Hilbert space. Let
be an orthonormal sequence in Let
and let be the closure of
Show that given by
is an orthonormal projection onto
-
Let
be a Hilbert space. Let
be an orthonormal sequence in Let
Show that
is independent of the order of the terms in the sum.
-
Let
be a Hilbert space. Let
be an orthonormal sequence in Let
Show that
-
Let
be a separable Hilbert space. Show that has a Schauder basis.
-
Let be a
Hilbert space. Assume that has a countable orthonormal set
which is a total set. Show that
is a Schauder basis for
-
Show that the functions
form an orthonormal basis of
-
Let
be a Hilbert space and let be a closed subspace of Show that
-
Let and be normed vector spaces and let
be a linear transformation. Show that if is finite dimensional then is bounded.
-
Let
be the vector space of continuous functions
with norm given by
Let be given by
-
Show that is infinite dimensional.
-
Show that is not bounded.
-
Let be normed vector spaces and let
be a linear transformation. Show that if is continuous then is bounded.
-
Let be normed vector spaces and let
be a linear transformation. Show that if
is bounded then is uniformly continuous.
-
Let be normed vector spaces. Show the identity operator
has operator norm
and the zero operator has operator norm
-
Let be the vector space of bounded sequences
in with norm given by
Let
be a bounded sequence in Define
by
-
Show that is a well defined linear transformation.
-
Show that
-
Let with
Let
be a continuous function. Let
with the supremum norm. Define by
-
Show that is a Banach space.
-
Show that if then
-
Show that is a bounded linear transformation.
-
Let be normed vector spaces. Let
be the vector space of bounded linear operators with the operator norm. Show that if is a Banach space then
is a Banach space.
-
Let with
Let be the vector space of
continuous functions
with the supremum norm. Define
by
Show that the operator norm of is
-
Let and be Hilbert spaces and let
be a bounded linear transformation.
-
Show that there exists a unique function
such if and then
-
Show that is a linear transformation.
-
Show that is bounded.
-
Show that
-
Let be a Hilbert space and let be a bounded linear functional.
Show that there exists a unique such that
if then
-
Let and be Hilbert spaces and let
be a bounded linear transformation.
Show that
-
Let with
Let be the Banach space of
continuous functions with
the supremum norm. Let
Define
by
Show that is a bounded linear functional with
-
Let be a linear transformation.
Let be the matrix of and let
-
Show that the matrix of is
-
Show that
where is the largest eigenvalue of
-
Let and be normed vector spaces and let
be a bounded linear operator. Show that is self adjoint and positive.
-
Let and let be defined by
Show that the dual of
the Banach space is
-
Let Show that
is a reflexive Banach space.
-
Let be a normed vector space and let
Let be a compact operator. Show that
is compact.
-
Let be a normed vector space and let be a bounded subset of
Let be a compact operator. Show that
is compact.
-
Let be a finite dimensional normed vector space and let
be a linear transformation. Show that is a compact operator.
-
Let
be the space of continuous functions
with the supremum norm. Let
be a continuous function and define by
Show that is a compact operator.
-
Let be a Hilbert space and let be a bounded self adjoint
operator. Show that
-
Let be a Hilbert space and let be a nonzero compact self
adjoint operator.
-
Show that there exists an eigenvalue of such that
-
Show that if is an eigenvector of with eigenvalue such that
then
is a solution of the extremal problem
-
Let be a Hilbert space and let be a nonzero compact self
adjoint operator. Show that there exists an orthonormal basis of eigenvectors for
-
Let be a Hilbert space and let be a nonzero compact
self adjoint operator. Let be the set of eigenvalues of
If let
be the orthogonal projection onto the subspace of eigenvectors with eigenvalue
Show that if then
-
Let and be Banach spaces. Let be the dual of
and let be the dual of
Let be a bounded linear operator. Define
by
Show that is a well defined bounded linear operator.
-
Let be a Banach space and let be the dual of the dual of
Define by
Show that is injective.
-
Let and be reflexive Banach spaces and let
be a bounded linear operator.
-
Show that is transformed to by the isomorphisms
and
-
Show that
-
Show that if and are Hilbert spaces then is transformed to
by the natural isomorphisms and
-
Let be an infinite dimensional Hilbert space. Let be a
bounded self adjoint compact operator. Show that the eigenvalues of form a sequence converging to and every
eigenspace for is finite dimensional.
-
Let with
Let and let
and with
and
Let
with
and Let
be given by
Let such that
Let
be given by
Define by
-
Show that the eigenvalues of are nonzero and each eigenvector satisfies
and
-
Show that is an eigenvector of with eigenvalue if and only if
is an eigenvector of with eigenvalue
-
Show that has a sequence of eigenvalues
each eigenspace of is one dimensional and there is an orthonormal basis of
of eigenvectors
of
-
Let
be given by
and let
be given by
-
Show that has eigenvalues
and corresponding eigenvectors
-
Show that the functions
form an orthonormal basis of
Notes and References
These problems were distilled from the Lecture Notes of J.H. Rubinstein
on Metric and Hilbert spaces.
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