Linear Topological Spaces
[49/37%]Prove that the topology in an LTS is determined by specifying the system of neighborhoods of zero.
Prove that in any LTS a closed set and a point have disjoint neighborhoods.
Suppose that two norms and are given in a finite-dimensional linear space. Prove that there is a positive constant such that
Prove that there is only one topology in a finite-dimensional linear space with respect to which is a Hausdorff LTS.
Prove that if two norms and majorize one another (, ), then the systems of open balls and determine the same topology.
Prove that if is an open set and is arbitrary, then is an open set.
Prove that if is a closed set and is compact, then is a closed set.
Give an example of closed sets and for which is not closed.
Let be convex sets and fixed numbers. Prove that is a convex set.
Prove that the intersection of any family of convex sets is convex.
Let be any bounded set in the plane and the unit disk . Prove that for any positive numbers and the set is Lebesgue-measurable, and if is convex, then
What is the meaning of the coefficients and ?
Let be convex bounded sets in . Prove that is a homogeneous polynomial of degree in the variables .
Let be a linear space over the field . Prove that among all Hausdorff topologies turning into an LCS there is a strongest, called the convex core topology, and that it has the following properties:
Every linear functional (i.e., linear mapping ) is continuous;
A basis of neighborhoods of zero in consists of all the convex sets containing zero and intersecting each line passing through zero in an interval of positive length.
Prove that a set is the unit ball for some seminorm if and only if it is convex, balanced, and closed in the convex core topology (see Problem 278).
Prove that among all the convex sets containing and having a given Minkowski functional there is a largest and a smallest (with respect to inclusion).
Under the conditions of Problem 280(a) show that is the closure of in the convex core topology.
Let be any set in a linear space , the intersection of all the convex sets in containing , and the collection of all vectors of the form , where and the coefficients are nonnegative and have the property that . Prove that . This set is called the convex hull of and denoted by .
A set in an LTS is said to be bounded if for each neighborhood of zero there is an such that . Prove that in a polynormed space a set is bounded if and only if it is bounded in each of the seminorms , .
Prove that in every LCS the convex hull of a bounded set is bounded. Give an example showing that this property may fail to hold in an arbitrary LTS.
Let be the space of all sequences of real numbers with the topology of coordinatewise convergence (cf. Problem 288). Prove that there are no nonempty open bounded sets in .
In the space of all continuous real functions on the line introduce the countable system of seminorms and set
For what is the ball of radius a convex set in ?
In the space of all continuous real functions on the line define a distance by the formula
Is an LTS with the topology determined by this distance?
Prove that the subspace of the space in the preceding problem consisting of all the bounded continuous functions on the line is a normed LTS.
Let denote the space of all sequences of real numbers with the distance
Prove that:
is locally convex;
is countably normable;
is not normable.
Prove that if a linear functional is continuous at some point of a linear topological space, then it is continuous at each point of this space.
Let be a linear topological space. Prove that:
A linear functional on is continuous if and only if there exist an open set and a number such that does not belong to the set ;
A linear functional on is continuous if and only if its null subspace is closed in .
Suppose that the linear topological space has a defining system of neighborhoods of zero whose cardinality does not exceed the dimension of . Prove that there is a discontinuous linear functional on .
A convex set in an LTS for which the set is nonempty is called a convex body. Convex bodies and in are said to be dual if their Minkowski functionals determine structures of dual normed spaces in . (We identify the vector with the functional .) Prove that the section of by a -dimensional plane is dual to the projection of on this plane.
Prove that there does not exist a normed space whose dual space is .
Prove that if an LTS is Hausdorff and finite-dimensional, then every linear mapping , where is an arbitrary LTS, is continuous.
Let be the space of all polynomials in with real coefficients, and (resp., ) the subset of polynomials with positive (resp., negative) leading coefficient. Prove that the sets and are convex, but cannot be separated by a hyperplane.
Prove that disjoint convex closed sets and can be strictly separated by a hyperplane if one is compact. (This means that there exist a continuous linear functional and constants such that on and on .)
Let be a normed linear space with norm , the dual space with norm , and the space dual to , with norm . Assign to each an element according to the formula for . Prove that .
Let be a finite-dimensional normed space. Prove that and are isomorphic (i.e., there exists a linear isometric mapping of onto ).
Prove that every normed linear space is isometric to a subspace of some space of the form , where is the space of continuous functions on a compact set , with the norm .
Construct an isometric imbedding of into for .
Prove that there exists an isometric imbedding of into .
Let be the space of bounded real sequences , . Prove that there exists a linear functional having the following properties:
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;
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If exists, then ;
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.
Prove that the assertions of Problem 303 carry over to the case of two-sided sequences , .
Let be a normed space, and a linear invertible operator on having the property that
Prove that there is a norm in that is equivalent to , and with respect to which is an isometry.
Let be an LCS. Prove that it can be imbedded continuously in a product of lines , where is a sufficiently large cardinal number. (In other words, every LCS admits a coordinate description.)
Let be the space of bounded real functions on , with the norm . Prove that there exists a linear functional having the properties:
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;
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If exists, then ;
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for any .
Prove that every closed convex set in a real LCS is the intersection of some family of half-spaces of the form , where , .
Represent the unit ball of as an intersection of countably many half-spaces.
Let be the -dimensional cube defined in by the inequalities , . Prove that any convex bounded subset of the plane can be approximated to any degree of accuracy by two-dimensional sections of . (More precisely, for any and any convex set there exist an and an imbedding such that the Minkowski functionals of the sets and are connected by the inequalities .)
Construct an isometric imbedding of into for any .
Prove that if a family of convex subsets of is such that any sets of the family have a common point, then all the sets of the family have a common point.
Define a topology in by taking the sets as a base of neighborhoods of zero. Prove that each continuous linear functional on the resulting topological space is equal to zero.
Let be an LCS, a set with a measure , and a function on with values in . The function is said to be weakly measurable if the numerical function is -measurable for every . An element is called a weak integral of with respect to the measure on if for all . Prove:
The uniqueness of a weak integral;
The existence of the weak integral in the case when is a reflexive Banach space and is -integrable on .