Banach Spaces
[102/74%]Check whether the given functions are norms on the corresponding spaces:
;
.
Let a sequence be such that , in . Prove that , for every (i.e. pointwise convergence takes place).
Let a sequence , be such that , in , where . Prove that , for every (i.e. coordinate-wise convergence takes place).
Let a sequence , be such that in , and -almost everywhere on . Prove that -almost everywhere on .
Examine the convergence of the following sequences in a normed linear space . Find limits for convergent sequences.
, where is fixed;
;
;
;
.
Let be a normed linear space over the field be a subspace in . Prove that the set is a subspace in .
Find the norm of an element in a given space:
in ;
in ;
in ; in ;
in ;
in ;
in
in ;
in ;
in ;
in .
Are the following functions norms on ?
;
, where is such that
.
Are the following functions norms on ?
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;
;
;
;
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Are the following functions norms on ?
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;
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Is the sequence of elements convergent in the given space? If so, find its limit.
In the space :
(1) ;
(2) ;
(3) ;
(4) ;
(5) ;
(6) ;
(7) ;
(8) ;
(9) ;
(10) ;
(11) , where is a fixed function.
In the space :
(1) ;
(2) .
In the space :
(1) ;
(2) ;
(3) ;
(4) ;
(5) ;
(6) ;
(7) ;
(8) ;
(9) ;
(10) ;
(11) ;
(12) ;
(13)
In the space :
(1) ;
(2) ;
(3) ;
(4) ;
(5) ;
(6) , .
Prove directly that the following spaces are complete:
with the norm ;
, with the norm ;
with the norm .
Let be a Banach space. Prove that the space of continuous bounded functions with uniform norm , is a Banach space.
Let with the norm , where . Draw unit balls centered at the origin.
Let with the norm , where . Draw unit balls centered at the origin.
Prove that for all and ; moreover, for and .
Show that every norm on the space has form , where is a fixed constant.
Let be a -periodic function, for which the set is convex. Put , where are the polar coordinates of a point . Prove that is a norm on .
Prove that each norm on can be obtained in the way described in (2)*. Find the functions that correspond to norms on the spaces .
Prove that for every the inclusion holds, and for all .
Let be a space with a finite measure. Prove that for every the inclusion holds, and for all .
Prove that the spaces and do not contain each other for any .
Let be a space with a measure, . Prove that
if and only if there exists such that .
if and only if there exists such that .
Let . Prove that .
Let . Prove that
Is the function a norm on for , where for is formally defined in the same way as for ?
Is the function a norm on for 1?
Under what condition on a sequence the function is a norm on ?
When is equality achieved
in Hölder's inequality;
in the Minkowski inequality?
Let . Prove that .
Prove that for and for each function there exist and such that .
Let be such that for some
Prove that on .
Let . For which the function
belongs to the space ?
Give examples of infinite-dimensional subspaces in such that
consists of continuous functions;
does not contain any nonzero continuous function.
Let
Define a norm on as . Prove that is a Banach space.
Prove that the functions are linearly independent in , and the functions are linearly dependent in .
Define the function . Is it a norm
on the set of polynomials with powers at most , where is fixed?
on ?
Let be norms on a linear space . Prove that the following conditions are equivalent:
the norms and are equivalent;
, in if and only if , in ;
the topologies (i.e. classes of open sets) in the spaces and coincide.
Let and be equivalent norms on a linear space . Prove that
if is a Banach space, then is also a Banach space;
if is a separable space, then the space is also separable.
Let the spaces and be isomorphic, and be a Banach space. Prove that is also a Banach space. As a corollary, show that every finite-dimensional NLS is a Banach space.
Prove that the norms and , in are not equivalent.
Is it true that the norms and in are equivalent?
Let . Prove that , is a norm on . Is it equivalent to the uniform norm?
Let be norms on the linear space , and be the unit closed ball in . Prove that if , then .
Let be an NLS, . Which of the following conditions are equivalent:
is a Cauchy sequence;
;
?
Prove that an NLS is a Banach space if and only if any series , for which , converges in .
Let . Prove that is a Banach space with the norm
but it is not complete with the norm for every .
Let be an NLS, , and be some nonempty set.
Prove that the function is continuous on .
Prove that , where is the closure of the set .
Prove statements (1) and (2) for the case when is a metric space and .
Let be a metric space, and the Banach space of bounded continuous functions on with norm be separable. Prove that is a compact set.
Let be some set, and be the space of bounded functions on with the norm .
Prove that is a Banach space.
Under what condition on is the space separable?
Prove that the space of functions of bounded variation on such that , with the norm is a Banach space. Is it separable?
Let denote the set of all functions that satisfy the Hölder condition on with the exponent :
Prove that is a Banach space with respect to the norm
Is it separable?
Let be a linear metric space with a metric having the following properties:
(i) ;
(ii) .
Show that is an NLS with the norm .
Give an example of a metric in that does not have any of the properties (i), (ii).
Let be an NLS, be such that .
Let with Euclidean norm. Prove that and are linearly dependent. Is this correct in other normed spaces?
Prove that for all .
Let be an NLS. Prove that
;
.
Let be the linear space of all complex numerical sequences. Prove that
there is no norm on such that convergence in the space is equivalent to coordinate-wise convergence;
there exists a metric on such that convergence in the space is equivalent to coordinate-wise convergence.
Let . Prove that .
Prove that
the system of functions is total in and in ;
the system of functions is total in and in , for ;
the system of functions is total in ;
the system of functions is total in ;
the system of functions is total in if and only if ;
the system of functions is total in if and only if ;
the system of functions is total in if and only if
the system of elements is total in .
Prove that the following sets are dense in :
simple functions;
step functions;
continuous functions;
polynomials;
polynomials with rational coefficients;
polynomials with zero sum of coefficients;
even polynomials if ;
continuous functions such that ;
continuous functions such that ;
polynomials of .
Prove that the set of continuous functions on which vanish outside some finite interval is dense in .
Prove that the space is separable.
Prove that the set of bounded continuous functions on is not dense in .
Prove the nonseparability of the space .
Let be a compact set in the metric space . Prove that the space with uniform norm is separable.
Let be a compact metric space. Prove that
if is an infinite set, then is an infinite-dimensional space;
if is a finite open cover of , then there exists a system of real continuous functions on such that
(i) ,
(ii) ,
(iii) (such a system is called a partition of unity);
the Banach space is separable.
Let be an NLS. Prove that is separable if and only if there exists such that the sphere is a separable metric space.
Let . The space of locally -integrable functions on is defined as
Under what condition on a function the set
is total in ?
Are the following subsets subspaces in :
monotonic functions;
nondecreasing functions;
even functions;
odd functions;
polynomials;
polynomials of degree at most , where is fixed;
continuous piecewise smooth functions;
continuously differentiable functions;
continuous functions of bounded variation;
functions for which ;
functions for which ;
functions satisfying the Lipschitz condition.
Piecewise smooth functions are the functions that have a continuous derivative everywhere except for a finite number of points.
Is the set
a subspace
in the space with the norm
in the space with the norm ?
Consider as a subset of . Find its closure in .
Let . Is a subspace of if
;
;
?
Is the space complete with the norm of the space ?
Let us define in the set . Prove that
is a subspace in ;
with the norm is a separable Banach space.
Let us define in the set . Prove that
is a subspace in ;
with the norm is a separable Banach space.
Let be a set in NLS. Is it always true that ?
Prove that a subspace in NLS is a convex set.
Prove that the intersection of any family of convex sets in a linear space is a convex set.
Let a function on a linear space satisfy the first two axioms of the norm. Prove that is a norm on if and only if the set is convex.
Prove that in any finite-dimensional NLS all norms are equivalent.
Prove that in any finite-dimensional NLS every bounded closed set is compact.
Prove that in a finite-dimensional NLS every bounded sequence has at least one partial limit (i.e. the limit of some subsequence).
Give an example of a bounded sequence in which does not have any partial limits.
Prove that in every NLS the distance from any fixed point to any finite-dimensional subspace is attained.
Let be an NLS, . Prove that
Let be an NLS, be linearly independent elements. Prove that .
Let be subspaces in NLS , and at least one of these subspaces is finite-dimensional. Prove that is a subspace in .
Let and be NLS over a field . The Cartesian product , in which linear operations are defined as follows:
, is called the direct sum of and . It is denoted by .
Prove that is a linear space.
Prove that the functions
are norms in .
Let be an NLS over a field . Prove that a set is bounded if and only if for each sequence and each sequence such that , the convergence , in holds.
Let be an NLS, and be a linear set, . Prove that has no interior points.
A linearly independent system of elements of a linear space is called a Hamel basis if .
Prove that in every linear space there exists a Hamel basis.
Prove that each element of the space is uniquely represented as a linear combination of a finite number of elements from the Hamel basis of the space .
Based on the Baire category theorem (see, for example, [26], Theorem III. 8 or [21], Ch. 2, Sec. 7, Theorem 2), prove that in an infinite-dimensional Banach space, there is no countable Hamel basis.
Show that in item (3)* completeness of the space is essential.
Prove that an NLS is nonseparable if and only if it contains an uncountable number of balls of some fixed radius that do not intersect pairwise.
Let be a Banach space, be a sequence of nested closed balls, and . Prove that
Let be an NLS in which any sequence of nested closed balls, for which , has a nonempty intersection. Prove that is a Banach space.
Give an example of a Banach space and a sequence of nested nonempty closed sets that has an empty intersection.
Prove that every sequence of nested closed balls in a Banach space has a nonempty intersection.
Let be a Banach space, be a linear set. Prove that the completion of in the norm of the space coincides with the closure of .
Let be an NLS. Consider the set , which consists of all Cauchy sequences of the space , i.e. , if is a Cauchy sequence in .
Two sequences and are said to be equivalent , if . Prove that the relation is an equivalence relation, i.e. it is reflexive, symmetric, and transitive.
Thus the set is split into classes of equivalent sequences. Let us denote the set of these classes by . Prove that it is possible to introduce the structure of a linear space in .
For every , we set . Prove that this formula determines a norm on .
Prove that is a complete space.
Prove that is dense in if an element is identified with the equivalence class that contains the sequence .
Let us call the sequence a Schauder basis in the NLS if for each there exists a unique representation 1, where the series converges in norm.
Prove that any space with a Schauder basis is separable.
Prove that there exists a Schauder basis in the spaces .
Let be the sequence of nonzero elements in a Banach space with the following properties:
(a) ;
(b) .
Prove that is a Schauder basis in the space .
The sequence is a Schauder basis in the Banach space if and only if it satisfies conditions (a) and (b) (see problem 8.30*).
Consider the sequence of functions on defined as follows:
where and . The sequence is called the Haar system. Prove that
in the norm of ;
the Haar system is a Schauder basis in for every ;
.
A basis satisfying this condition is said to be monotone.
Let be the Haar system from the previous problem. Consider the sequence of functions in defined as follows: , and . The sequence is called the Schauder system. Prove that the Schauder system is a monotone Schauder basis in .
Let be a set in an NLS , and let contains a countable subset which is dense in . Prove that is a separable subspace in .
An NLS is said to be strictly normed if for any equalities imply that . The norm on such a space is said to be strictly convex. Prove that
is strictly normed if and only if for all and equalities imply that ;
is strictly normed if and only if the unit ball is a strictly convex set (for an open set , the set is said to be strictly convex if for all and ).
For which the space with the norm is strictly normed?
Prove that
the spaces , are strictly normed;
the spaces are not strictly normed.
Prove that a real NLS is strictly normed if and only if for an arbitrary convex set and for any there exists at most one element of the best approximation (i.e. if the element of the best approximation exists, then it is unique).
In , give examples of the subspace and the element , for which
there exists a unique element of the best approximation in ;
there exist several elements of the best approximation in .
A normed linear space is said to be uniformly convex if
Prove that
a uniformly convex space is strictly normed;
a finite-dimensional strictly normed space is uniformly convex.
Let . Prove that for any there exists such that
for all , for which .
Prove that the space , is uniformly convex.
Let be a uniformly convex Banach space. Prove that for every element in an arbitrary convex closed set there exists a unique element of the best approximation.
Let be a uniformly convex Banach space, be a nonempty closed convex set. Prove that the function , attains its minimum on exactly once.
Let be a measurable space with a measure . Let denote the set of all for which there exists a partition of the space , where . Prove that for every the dimension of the space is given by . At the same time,
(A set is called an atom if and for every subset , either , or .)