Metric Spaces: General Properties
[64/92%]The Nikodym Metric. Let () be a finite measure space. For , define , where , the symmetric difference of and . Define two measurable sets to be equivalent provided that their symmetric difference has measure zero. Show that induces a metric on the collection of equivalence classes. Finally, show that for ,
where and are the characteristic functions of and , respectively.
Show that for ,
Let () be a finite measure space and be the collection of measurable real-valued functions on . For , define
Define two measurable functions to be equivalent provided that they are equal almost everywhere on . Show that induces a metric on the collection of equivalence classes.
For , show that
Let () be measure space and . For measurable functions and that have integrable -th powers, define
Define two such functions to be equivalent provided that they are equal almost everywhere on . Show that induces a metric on the collection of equivalence classes.
Show that the triangle inequality for Euclidean space follows from the triangle inequality for .
Show that the following induce the same convergent sequences in Euclidean space:
Find a metric on that does not induce the same convergent sequences as the metric induced by the Euclidean norm.
Show that in a metric space an open ball is open.
In a metric space , is it possible for and two distinct points and in to have ? Is this possible in Euclidean space ? Is it possible in a normed linear space?
Let be a metric space in which and . Show that .
Let be a metric space, belong to and .
Show that is closed and contains .
Show that in a normed linear space the closed ball is the closure of the open ball , but this is not so in a general metric space.
Prove Proposition 2.
Proposition 2: Let be a subspace of the metric space and a subset of . Then is open in if and only if , where is open in .
Let be a subspace of the metric space and a subset of . Show that is closed in if and only if , where is closed in .
Let be a subspace of the metric space .
If is an open subset of the metric subspace , is an open subset of ? What if is an open subset of ?
If is a closed subset of the metric subspace , is a closed subset of ? What if is a closed subset of ?
For a subset of a metric space , a point is called an interior point of provided that there is an open ball centered at that is contained in : the collection of interior points of is called the interior of and denoted by int . Show that int is always open and is open if and only if .
For a subset of a metric space , a point is called an exterior point of provided that there is an open ball centered at that is contained in : the collection of exterior points of is called the exterior of and denoted by ext . Show that ext is always open. Show that is closed if and only if .
For a subset of a metric space , a point is called a boundary point of provided that every open ball centered at contains points in and points in : the collection of boundary points of is called the boundary of and denoted by bd . Show
that is always closed,
that is open if and only if ,
that is closed if and only if .
Let and be subsets of a metric space . Show that if , then . Also, show that and .
Show that for a subset of a metric space , the closure of is the intersection of all closed subsets of that contain .
Let be a metric on a set . Define
Verify that is a bounded metric on and convergence of sequences with respect to the metric and the metric is the same. Conclude that sets that are closed with respect to the metric are closed with respect to the metric and that sets that are open with respect to the metric are open with respect to the metric.
Exhibit a continuous mapping that is not uniformly continuous and a uniformly continuous mapping that is not Lipschitz.
Show that every mapping from a metric space () to a metric space () is continuous if is the discrete metric.
Suppose there is a continuous, one-to-one mapping from a metric space () to a metric space (), where is the discrete metric. Show that every subset of is open.
For a metric space (), show that the metric is continuous, where has the product metric.
Let be a point in the metric space (). Define the function by . Show that is uniformly continuous.
For a non-empty subset of the metric space () and a point , define the distance from to , as follows:
Show that for all .
Show that .
Show that a subset of a metric space is open if and only if there is a continuous real-valued function on for which .
Show that a subset of a metric space is closed if and only if there is a continuous real-valued function on for which .
Let . Define the function by
Show that is Lipschitz on the metric space , where has the metric induced by the maximum norm.
In a metric space , show
that a convergent sequence is Cauchy,
that a Cauchy sequence is bounded.
In a metric space , show that a Cauchy sequence converges if and only if it has a convergent subsequence.
Define the concept of rapidly Cauchy sequence in a metric space, and show that a space is complete if and only if every rapidly Cauchy sequence converges.
Provide an example of a descending, countable collection of closed, non-empty sets of real numbers for which the intersection is empty. Does this contradict the Cantor Intersection Theorem?
For a mapping of the metric space () to the metric space (), show that is uniformly continuous if and only if for any two sequences and in ,
For the countable Cartesian product of metric spaces defined in Proposition 7, show that the product is complete if and only if each factor space is complete.
Proposition 7: Let be the Cartesian product of the countable collection of metric spaces . For points and in , define . Then is a metric on for which sequential convergence is componentwise convergence in each component metric space .
For each index , define for . For what values of the parameters and is the sequence a Cauchy sequence in the metric space ?
Let be the subspace of consisting of the continuous functions that are differentiable on . Is complete?
Define to be the subspace of consisting of the functions that are Lipschitz. Is complete?
For a metric space (), complete the following outline of a proof of Theorem 12:
Theorem 12: Let be a metric space. Then there is a complete metric space for which is a dense subset of and for all . (This space is called the completion of ; it is unique up to an isometry that is the identity on .)
If and are Cauchy sequences in , show that is a Cauchy sequence of real numbers and therefore converges.
Define to be the set of Cauchy sequences in . For two Cauchy sequences in , and , define .
Define two members of , that is, two Cauchy sequences and in , to be equivalent, provided that . Show that this is an equivalence relation in and denote by the set of equivalence classes. Define the distance between two equivalence classes to be the distance between representatives of the classes. Show that is properly defined and is a metric on .
Show that the metric space is complete.
Define the mapping from to by defining, for to be the equivalence class of the constant sequence, each term of which is . Show that is dense in and that for all .
Define the set to be the disjoint union of and . For , define as follows: if for ; and for . From the preceding two parts conclude that the metric space () is a complete metric space containing () as a dense subspace.
Consider the metric space consisting of the rational numbers with the metric induced by the absolute value. Which subspaces of are complete and which are compact?
Let be an open ball in Euclidean space . Show that fails to be compact by
showing is not sequentially compact,
finding an open cover of without any finite subcover,
showing is not closed.
When is a set with the discrete metric a compact metric space?
Prove Proposition 23.
Proposition 23: If a subspace of a metric space is compact, then is a closed, bounded subset of .
Prove that if is compact, then is compact if and only if it is closed subset of .
For the countable Cartesian product of metric spaces considered in Proposition 7, show that the product is compact if and only if each factor space is compact.
Proposition 7: Let be the Cartesian product of the countable collection of metric spaces . For points and in , define . Then is a metric on for which sequential convergence is componentwise convergence in each component metric space .
Let be a subset of the compact metric space . Show the metric subspace is compact if and only if is a closed subset of .
Let be a descending countable collection of non-empty closed subsets of a compact metric space . Show that .
For a subset of a metric space , show that is totally bounded if and only if its closure is totally bounded.
For a subset of a complete metric space , show that is totally bounded if and only if its closure is compact.
Let be the closed unit ball in . Show that fails to be compact by
showing is not sequentially compact,
finding an open cover of without any finite subcover,
showing is not totally bounded.
Let be the closed unit ball in . Show that fails to be compact by
showing is not sequentially compact,
finding an open cover of without any finite subcover,
showing is not totally bounded.
Let be a totally bounded metric space.
If is a uniformly continuous mapping from to a metric space , show that is totally bounded.
Is (i) still true if is only required to be continuous?
Let be a metric on a set . Define
Verify that is a bounded metric on and convergence of sequences with respect to the metric and the metric is the same. Conclude that sets that are closed with respect to the metric are closed with respect to the metric and that sets that are open with respect to the metric are open with respect to the metric.
Let be a subset of Euclidean space . Assume that every continuous real-valued function on takes a minimum value. Is necessarily closed and bounded?
Suppose is a continuous real-valued function on Euclidean space with the property that there is a positive number such that for all . Show that if is a compact set of real numbers, then its inverse image under , also is compact. (Mappings with this property are called proper.)
For a compact metric space (), show that there are points for which .
Let be a compact subset of the metric space () and belong to . Show that there is a point for which
Let be a compact subset of the metric space . For a point , show that there is an open set containing and an open set containing for which .
Let and be subsets of a metric space (). Define
If is compact and is closed, show that if and only if .
Let be a compact subset of a metric space and an open set containing . Use the preceding problem to show that there is an open set for which .
Let be a metric space that contains a finite dense subset . Show that .
Show that if two continuous mappings defined on a metric space take the same values on a dense subset, then they are equal.
Prove Lusin's Theorem for a finite Borel measure space () where is a separable, complete metric space.