In functional analysis, a branch of mathematics, a compact operator is a linear operator , where
are normed vector spaces, with the property that
maps bounded subsets of
to relatively compact subsets of
(subsets with compact closure in
). Such an operator is necessarily a bounded operator, and so continuous.[1] Some authors require that
be Banach, but the definition can be extended to more general spaces.
Any bounded operator that has finite rank is a compact operator; indeed, the class of compact operators is a natural generalization of the class of finite-rank operators in an infinite-dimensional setting. Every compact operator in a Hilbert space
is a limit (in operator norm) of finite-rank operators,[1] so the class of compact operators can be defined alternatively as the closure of the set of finite-rank operators in the norm topology. Whether this was true in general for Banach spaces (the approximation property) was an unsolved question for many years; in 1973 Per Enflo gave a counter-example, building on work by Alexander Grothendieck and Stefan Banach.[2]
The origin of the theory of compact operators is in the theory of integral equations, where integral operators supply concrete examples of such operators. A typical Fredholm integral equation gives rise to a compact operator K on function spaces; the compactness property is shown by equicontinuity. The method of approximation by finite-rank operators is basic in the numerical solution of such equations. The abstract idea of Fredholm operator is derived from this connection.
Definitions
TVS case
Let be topological vector spaces and
a linear operator.
The following statements are equivalent, and different authors may pick any one of these as the principal definition for " is a compact operator":[3]
- there exists a neighborhood
of the origin in
and
is a relatively compact subset of
;
- there exists a neighborhood
of the origin in
and a compact subset
such that
;
- there exists a nonempty open set
in
and
is a relatively compact subset of
.
Normed case
If in addition are normed spaces, these statements are also equivalent to:[4]
- the image of the unit ball of
under
is relatively compact in
;
- the image of any bounded subset of
under
is relatively compact in
;
- for any bounded sequence
in
, the sequence
contains a converging subsequence.
Banach case
If in addition is Banach, these statements are also equivalent to:
- the image of any bounded subset of
under
is totally bounded in
.
Properties
In the following, are Banach spaces,
is the space of bounded operators
under the operator norm, and
denotes the space of compact operators
.
denotes the identity operator on
,
, and
.
- If a linear operator is compact, then it is continuous.
is a closed subspace of
(in the norm topology). Equivalently,[5]
- given a sequence of compact operators
mapping
(where
are Banach) and given that
converges to
with respect to the operator norm,
is then compact.
- given a sequence of compact operators
- In particular, the limit of a sequence of finite rank operators is a compact operator.
- Conversely, if
are Hilbert spaces, then every compact operator from
is the limit of finite rank operators. Notably, this "approximation property" is false for general Banach spaces
and
.[2][4]
where the composition of sets is taken element-wise. In particular,
forms a two-sided ideal in
.
- Any compact operator is strictly singular, but not vice versa.[6]
- A bounded linear operator between Banach spaces is compact if and only if its adjoint is compact (Schauder's theorem).[7]
- If
is a Banach space and there exists an invertible bounded compact operator
then
is necessarily finite-dimensional.[7]
Now suppose that is a Banach space and
is a compact linear operator, and
is the adjoint or transpose of T.
- For any
,
is a Fredholm operator of index 0. In particular,
is closed. This is essential in developing the spectral properties of compact operators. One can notice the similarity between this property and the fact that, if
and
are subspaces of
where
is closed and
is finite-dimensional, then
is also closed.
- If
is any bounded linear operator then both
and
are compact operators.[5]
- If
then the range of
is closed and the kernel of
is finite-dimensional.[5]
- If
then the following are finite and equal:
[5]
- The spectrum
of
is compact, countable, and has at most one limit point, which would necessarily be the origin.[5]
- If
is infinite-dimensional then
.[5]
- If
and
then
is an eigenvalue of both
and
.[5]
- For every
the set
is finite, and for every non-zero
the range of
is a proper subset of
.[5]
Origins in integral equation theory
A crucial property of compact operators is the Fredholm alternative in the solution of linear equations. Let be a compact operator,
a given function, and
the unknown function to be solved for. Then the Fredholm alternative states that the equationbehaves much like as in finite dimensions.
The spectral theory of compact operators then follows, and it is due to Frigyes Riesz (1918). It shows that a compact operator on an infinite-dimensional Banach space has spectrum that is either a finite subset of
which includes 0, or the spectrum is a countably infinite subset of
which has
as its only limit point. Moreover, in either case the non-zero elements of the spectrum are eigenvalues of
with finite multiplicities (so that
has a finite-dimensional kernel for all complex
).
An important example of a compact operator is compact embedding of Sobolev spaces, which, along with the Gårding inequality and the Lax–Milgram theorem, can be used to convert an elliptic boundary value problem into a Fredholm integral equation.[8] Existence of the solution and spectral properties then follow from the theory of compact operators; in particular, an elliptic boundary value problem on a bounded domain has infinitely many isolated eigenvalues. One consequence is that a solid body can vibrate only at isolated frequencies, given by the eigenvalues, and arbitrarily high vibration frequencies always exist.
The compact operators from a Banach space to itself form a two-sided ideal in the algebra of all bounded operators on the space. Indeed, the compact operators on an infinite-dimensional separable Hilbert space form a maximal ideal, so the quotient algebra, known as the Calkin algebra, is simple. More generally, the compact operators form an operator ideal.
Compact operator on Hilbert spaces
For Hilbert spaces, another equivalent definition of compact operators is given as follows.
An operator on an infinite-dimensional Hilbert space
,
,
is said to be compact if it can be written in the form
,
where and
are orthonormal sets (not necessarily complete), and
is a sequence of positive numbers with limit zero, called the singular values of the operator, and the series on the right hand side converges in the operator norm. The singular values can accumulate only at zero. If the sequence becomes stationary at zero, that is
for some
and every
, then the operator has finite rank, i.e., a finite-dimensional range, and can be written as
.
An important subclass of compact operators is the trace-class or nuclear operators, i.e., such that . While all trace-class operators are compact operators, the converse is not necessarily true. For example
tends to zero for
while
.
Completely continuous operators
Let be Banach spaces. A bounded linear operator
is called completely continuous if, for every weakly convergent sequence
from
, the sequence
is norm-convergent in
.[9]
Compact operators between Banach spaces are always completely continuous, but the converse is false, because there exists a completely continuous operator that is not compact. However, the converse is true if is a reflexive Banach space: then every completely continuous operator
is compact.[9]
Somewhat confusingly, compact operators are sometimes referred to as "completely continuous" in older literature, even though the latter is a weaker condition in modern terminology.
Examples
- Every finite rank operator is compact.
- The scaling operator
for any nonzero
is compact if and only if the space is finite-dimensional. This can be proven directly, or as a corollary of Riesz's lemma.[10]
- The multiplication operator on sequence space
with fixed
, defined as
and sequence
converging to zero, is compact.
- Every Hilbert–Schmidt operator is compact.
- In particular, every Hilbert–Schmidt integral operator is compact. That is, if
is any domain in
and the integral kernel
satisfies
, then the integral operator
on
defined by is a compact operator.
- In particular, every Hilbert–Schmidt integral operator is compact. That is, if
- The integral transform on
(i.e. the continuous function space on a closed bounded real interval), defined by for any fixed
, is a compact operator by the Arzelà–Ascoli theorem.
- The inclusion map compactly embedding the Sobolev space
in the Lebesgue space
for every
and
, is a compact operator by the Rellich–Kondrachov theorem.
- The forward and backward unilateral shift operators are not compact.
See also
- Compact embedding – Feature of certain mathematical spaces
- Compact operator on Hilbert space – Functional analysis concept
- Fredholm alternative – One of Fredholm's theorems in mathematics
- Fredholm integral equation
- Fredholm operator – Part of Fredholm theories in integral equations
- Strictly singular operator
- Spectral theory of compact operators – Theory in functional analysis
Notes
- Conway 1985, Section 2.4
- Enflo 1973
- Schaefer & Wolff 1999, p. 98.
- Brézis, H. (2011). Functional analysis, Sobolev spaces and partial differential equations. H.. Brézis. New York: Springer. ISBN 978-0-387-70914-7. OCLC 695395895.
- Rudin 1991, pp. 103–115.
- N.L. Carothers, A Short Course on Banach Space Theory, (2005) London Mathematical Society Student Texts 64, Cambridge University Press.
- Conway 1990, pp. 173–177.
- William McLean, Strongly Elliptic Systems and Boundary Integral Equations, Cambridge University Press, 2000
- Conway 1985, §VI.3
- Kreyszig 1978, Theorems 2.5-3, 2.5-5.
References
- Conway, John B. (1985). A course in functional analysis. Springer-Verlag. Section 2.4. ISBN 978-3-540-96042-3.
- Conway, John B. (1990). A Course in Functional Analysis. Graduate Texts in Mathematics. Vol. 96 (2nd ed.). New York: Springer-Verlag. ISBN 978-0-387-97245-9. OCLC 21195908.
- Enflo, P. (1973). "A counterexample to the approximation problem in Banach spaces". Acta Mathematica. 130 (1): 309–317. doi:10.1007/BF02392270. ISSN 0001-5962. MR 0402468.
- Kreyszig, Erwin (1978). Introductory functional analysis with applications. John Wiley & Sons. ISBN 978-0-471-50731-4.
- Kutateladze, S.S. (1996). Fundamentals of Functional Analysis. Texts in Mathematical Sciences. Vol. 12 (2nd ed.). New York: Springer-Verlag. p. 292. ISBN 978-0-7923-3898-7.
- Lax, Peter (2002). Functional Analysis. New York: Wiley-Interscience. ISBN 978-0-471-55604-6. OCLC 47767143.
- Narici, Lawrence; Beckenstein, Edward (2011). Topological Vector Spaces. Pure and applied mathematics (Second ed.). Boca Raton, FL: CRC Press. ISBN 978-1584888666. OCLC 144216834.
- Renardy, M.; Rogers, R. C. (2004). An introduction to partial differential equations. Texts in Applied Mathematics. Vol. 13 (2nd ed.). New York: Springer-Verlag. p. 356. ISBN 978-0-387-00444-0. (Section 7.5)
- Rudin, Walter (1991). Functional Analysis. International Series in Pure and Applied Mathematics. Vol. 8 (Second ed.). New York, NY: McGraw-Hill Science/Engineering/Math. ISBN 978-0-07-054236-5. OCLC 21163277.
- Schaefer, Helmut H.; Wolff, Manfred P. (1999). Topological Vector Spaces. GTM. Vol. 8 (Second ed.). New York, NY: Springer New York Imprint Springer. ISBN 978-1-4612-7155-0. OCLC 840278135.
- Trèves, François (2006) [1967]. Topological Vector Spaces, Distributions and Kernels. Mineola, N.Y.: Dover Publications. ISBN 978-0-486-45352-1. OCLC 853623322.