Linear operators
[100/46%]Let and be normed spaces, . Prove that the following conditions are equivalent:
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is continuous at every point of the space ;
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is continuous at zero;
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is bounded;
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is uniformly continuous on (see Definition 1.22).
Definition 1.22: A mapping of a metric space into a metric space is called uniformly continuous if for every there exists such that for every pair of points with one has .
Let be a positive linear operator, i.e., for every nonnegative function and every . Prove that is continuous and . (Cf. problem 5.54.)
Prove that in a Hilbert space the norm of an arbitrary bounded operator can be found by the formula .
Let and be linear spaces, , , and , where , and . Prove that
What can be asserted if , and ?
Let and be Banach spaces, an everywhere dense subspace of , and . Prove that there exists a unique bounded linear operator that coincides with the operator on . Prove that .
Prove the boundedness and find the norm of the following embedding operators:
Let and be normed spaces, . Prove that is a closed subspace of the space . Give an example showing that need not be a closed subspace of .
Prove that a linear operator in a normed space is a projection operator if and only if .
Let be a normed space, and linear subspaces of it, such that is the linear direct sum of and . Let be the projection operator onto along . Prove that the operator is bounded if and only if the direct sum of and is a topological direct sum (see Definition 2.21). Prove that if at least one of the subspaces or is finite-dimensional, then is bounded.
Definition 2.21: Let be a normed space and , two linear subspaces of with . The linear direct sum of these subspaces is called a topological direct sum if there exist constants and such that for every , , , one has , .
In the space consider the operator
Prove that this operator is a bounded projector. Find its image, kernel, and norm.
Let a linear subspace of a normed space be complemented. Prove that then the subspace itself and the complementary subspace are closed.
Does there exist in the space a bounded projection operator
onto the subspace ;
onto the subspace ?
Let be a finite-dimensional subspace of a normed space . Prove that is complemented.
Let be a closed subspace of finite codimension in a normed space . Prove that is complemented.
Let and be normed spaces. Prove that an operator is a finite-rank operator if and only if it admits the following representation: , where , and . Prove that if and are Hilbert spaces, then an operator is a finite-rank operator if and only if it admits the representation , where is an orthonormal system in is an orthonormal system in , and (compare with problem 12.79).
Find the norm, image, and kernel of the operator , where is a fixed nonzero functional, and is a fixed nonzero vector.
Prove that the following operators are finite-rank operators:
, where ;
;
. Find their image and kernel. Estimate the norm.
Find the exact value of the norm of the operator from Example 6.2.
Example 6.2: the operator on is given by ; it is a finite-rank operator with and .
Prove that the operator is bounded in the space if and only if . Find its norm and kernel in each of the spaces, depending on the sequence .
;
;
Find the norm of the operator
Prove that the operator from problem 6.19 is surjective in each of the spaces а)-в) if and only if . In cases
and
prove that its image is everywhere dense in the corresponding space if and only if all the numbers are nonzero. In case
prove that its image is everywhere dense in the corresponding space if and only if .
Prove that the operator from problem 6.19 is a projection operator in each of the spaces а)-в) if and only if for every .
Prove that the operators of right and left shift
are bounded in the spaces , c, and . Find the norm, image, and kernel of these operators in each of the spaces.
Prove that the operator of multiplication by a continuous function is bounded in the space
;
. Find its norm and kernel in each of the spaces. Under what conditions on is the operator injective?
Prove that the operator of multiplication by a measurable function is bounded in the spaces , if and only if . Find its norm and kernel in each of the spaces.
Let be the operator of multiplication by a continuous function , acting in the space . Prove that if the function does not vanish on the interval , then the operator is surjective, while if has zeros, then the operator is not surjective and, moreover, the closure of its image does not coincide with the space .
Let the operator of multiplication by the independent variable act in the space
;
;
- .
Find the norm and kernel of this operator. Determine whether the operator is surjective and whether the closure of its image coincides with the whole space.
Prove that the integration operator is bounded
in ;
in
as an operator from to
Find its image and kernel in each of the spaces. Find its norm (in items а) and в) assume that the space is equipped with the norm , and in item б) restrict to the case ). Prove that
Prove that the differentiation operator is bounded as an operator
from to
from to .
Find its image, kernel, and norm (in item а) assume that the space is equipped with the norm ).
Prove that the operator , , is bounded
in ;
in ;
as an operator from to . Find its norm.
Consider the Hardy integral operator
Prove that this operator is bounded in the space for and is not bounded in .
- Prove that for every .
Prove that the operator maps continuous functions to continuous functions and (here we set ).
For which real is the Hardy operator (6.4) bounded in the space ?
For which real is the Riemann-Liouville operator (6.3) bounded in the space ?
Let the function , defined for , be nonnegative and homogeneous of degree of homogeneity -1 (i.e., for every ). Let and
Prove that the integral operator is bounded in the space and .
Prove that the operator is bounded in the space , and estimate its norm.
Let . Prove that the convolution operator is bounded in the space , and find its norm.
Prove that the shift operator is bounded as an operator in the space
;
. Find its norm, image, and kernel in each of the spaces.
Find the norm, image, and kernel of the trace operator:
;
;
, where , and .
Find the norm and kernel of the operator , where is a fixed continuous function mapping the interval into itself. Prove that the operator is surjective if and only if the mapping is injective.
Let be a normed space, and its closed subspace. Prove the equivalence of the following conditions:
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the subspace is complemented;
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the identity operator on admits an extension to a bounded operator from to ;
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every bounded operator from to , where is an arbitrary normed space, admits an extension to some bounded operator from to .
Prove that a Banach space has the following property: for all and for every bounded linear operator an extension with exists if and only if is 1-complemented in every Banach space containing it (i.e., there exists a linear projector from onto of unit norm).
Let be a finite-dimensional operator, where and are normed spaces, a linear subspace of a normed space . Prove that admits an extension to a bounded operator , and moreover can be chosen so that .
Let the operator be defined on the subspace of the space as the identity operator. Prove that this operator cannot be extended to a bounded operator from to without increasing the norm. Exhibit an extension of to a bounded operator from c to with an increase in norm.
(R. Phillips, 1940). Prove that the closed subspace of the Banach space is not complemented.
Let , where is a reflexive Banach space, an arbitrary Banach space, and rank . Prove that attains its norm on the unit ball, i.e., there is a vector such that and .
Let be a finite-dimensional normed space, and an arbitrary normed space. Prove that and every operator attains its norm on the unit ball.
Give an example of a bounded operator in a reflexive Banach space that does not attain its norm on the unit ball.
Give an example of an unbounded operator in a Banach space that is defined everywhere on and has closed kernel.
Let and be Banach spaces, closed in , and . Prove that the operator is bounded.
Give an example of a nonzero operator in an infinite-dimensional Banach space whose square is equal to zero.
Give an example of an operator in an infinite-dimensional Banach space such that .
Let be a Banach space and an operator. Prove that:
either , or there exists a least integer such that and for every (the operator has finite ascent );
either , or there exists a least integer such that and for every (the operator has finite descent ).
For an arbitrary give an example of operators and in an infinite-dimensional Banach space with the properties
Let be a Banach space and an operator. Prove that if has finite ascent and finite descent , then and .
Prove that if for the commutation relation holds, then . Prove that either or is unbounded. Deduce from this that the matrix equation , where and are unknown matrices, has no solutions.
Let be a Banach space, . Under what conditions on the operator do the expressions
,
define a norm on ?
Let be a Banach space, an injective bounded operator in . For the norms from the previous problem prove that , and . Prove that if and only if .
(S. Mazur, S. Ulam, 1932). Let and be normed spaces, and let the map be an isometry, i.e., for all we have and . Prove that is a linear isometric isomorphism of the normed spaces and .
Let be an isometry of the real space or , with . Prove that there exist a set of signs and a permutation of the natural numbers such that .
Let be a projector of a Hilbert space onto some subspace of it. Prove that is an orthogonal projector if and only if for any the following equality holds: 1
Definition 8.3: An operator is called self-adjoint if .
Footnotes
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Operators satisfying such a relation are called self-adjoint (see Definition 8.3 and problem 8.26 below). ↩
Let be an orthogonal projector in a Hilbert space . Prove that it is bounded, and find .
Let and be orthogonal projectors in a Hilbert space . Denote the subspaces and . Prove that if (or, conversely, ) and , then . Give an example of two such orthogonal projectors that .
In the notation of the previous problem, prove that if , then . Give an example of two such orthogonal projectors and that and .
Let be a Hilbert space, the orthogonal projector onto a proper subspace . What can be asserted about and Ker of an operator , if
;
?
Prove that if, under the conditions of the previous problem, the equality holds, then . Prove that the converse is false.
Let be a Hilbert space, and a form that is linear in the first argument, conjugate-linear in the second argument, and continuous in each argument. Prove that there is an operator such that for all .
For any give an example of an operator in a Hilbert space such that for some orthonormal basis all the norms are bounded by one, but .
Let , and let be an arbitrary orthonormal basis in a Hilbert space . Prove that there is an operator such that . Give an example of a bounded linear operator in a Hilbert space whose matrix (in any orthonormal basis) does not satisfy the indicated inequality.
Let an operator act in the space , and in some orthonormal basis let its matrix have the form , for all . Prove that if for this matrix there exist numbers , and , such that
(Schur's inequalities), then the operator is bounded, and .
Prove that the operator with matrix , where (the Hilbert operator), is bounded in , and .
Let the matrix be given by a function satisfying the following conditions:
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is nonnegative, with , symmetric, and homogeneous of degree of homogeneity -1, i.e., ;
-
;
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is decreasing for and increasing for , where . Prove that the matrix defines a bounded operator in the space , and 1
Footnotes
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The restrictions on the function can be significantly weakened, see [35]. ↩
Prove that the operator with matrix , where for with parameter , is bounded in .
Prove that for any operator in a separable Hilbert space one can choose an orthonormal basis such that for every only finitely many entries of the -th column of the matrix are nonzero.
Prove that a matrix is the matrix of some operator from if and only if
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there is such that for every ;
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for every .
Prove Theorem 6.1.
Theorem 6.1: The set of all continuous linear operators from a normed space into a Banach space , with the norm , is a Banach space.
Let and be normed spaces, , . Prove the inequality . Prove that if one of the operators or is an isometric isomorphism of the corresponding spaces, then . Give an example of a Banach space and operators and from such that .
Prove that the space with the usual operation of function multiplication is a unital commutative Banach algebra.
Prove that for an arbitrary Banach space the set of bounded operators is a unital noncommutative (if ) Banach algebra with respect to the composition operation.
Let and be normed spaces, an operator . Which of the following statements hold for every operator ?
If the set is open in , then is open in .
If the set is closed in , then is closed in .
If the set is open in , then is open in .
If the set is closed in , then is closed in .
Let and be normed spaces, a closed subspace of . Set
Is a closed subspace of ?
Let and be normed spaces, a closed subspace of . Set
Is a closed subspace of ?
Let be a normed space, a fixed operator from . Set . Prove that and are closed subspaces of .
Let be an infinite-dimensional Hilbert space. Prove that the space is not separable.
Prove that the space , is not separable.
Let and be Banach spaces, with the direct sum of two closed subspaces. Prove that .
Let be a Banach space, , where all the operators are projection operators and . Must necessarily be a projection operator?
Let be a Banach space, , where all the operators are operators of the same finite rank: and . Is it true that rank ?
In the space , where is or , consider the sequence of operators of multiplication by sequences . Prove that the sequence has a limit in the space if and only if the sequence has a limit in the space . Prove that in the case when the limit exists, it is also equal to the operator of multiplication by the sequence .
In the space , where is , c, or , consider two sequences of operators and :
- the operators of right and left shift. Prove that both of these sequences have no limit in the space .
Prove that if a mapping is Fréchet differentiable at a point, then it is Gateaux differentiable at that point (and the derivatives coincide).
Prove that if a mapping is Fréchet differentiable at a point , then it is continuous at that point. Give an example of a mapping that is Gateaux differentiable at a point of its discontinuity.
Let be normed spaces, a mapping Fréchet differentiable at a point , a mapping Fréchet differentiable at the point . Prove that is Fréchet differentiable at the point and . Show that the composition of Gateaux differentiable mappings need not be Gateaux differentiable.
Let a mapping be Gateaux differentiable at every point of a neighborhood of a point , and let the derivative be continuous at the point (that is, as ). Prove that is Fréchet differentiable at the point .
Investigate the mappings for Fréchet and Gateaux differentiability and find the derivatives (all Banach spaces are assumed real):
( a Hilbert space);
( a Hilbert space);
;
;
;
;
;
.
Prove that if the dual space is uniformly convex (see Definition 2.11), then the norm on (the mapping ) is Fréchet differentiable at every point .
Definition 2.11: A normed space is called uniformly convex if for every there exists such that if and , then .
Prove that there is a mapping , differentiable at all points of the interval , for which the equality fails to hold for any point .
Let and be normed spaces, an open convex set in , and Gateaux differentiable at every point of . Prove that for all the difference lies in the closure of the convex hull of the set .
Prove that under the conditions of the previous problem the inequality holds.