Compact operator

A linear map T : X → Y a linear operator between two topological vector spaces is said to be compact if there exists a neighborhood U of the origin in X such that T(U) is a relatively compact subset of Y.[4]

Let X and Y be normed spaces and T : X → Y a linear operator. Then the following statements are equivalent:

• T is a compact operator;
• the image of the unit ball of X under T is relatively compact in Y;
• the image of any bounded subset of X under T is relatively compact in Y;
• there exists a neighbourhood U of 0 in X and a compact subset ${\displaystyle V\subseteq Y}$ such that ${\displaystyle T(U)\subseteq V}$;
• for any bounded sequence ${\displaystyle (x_{n})_{n\in \mathbb {N} }}$ in X, the sequence ${\displaystyle (Tx_{n})_{n\in \mathbb {N} }}$ contains a converging subsequence.

If in addition Y is Banach, these statements are also equivalent to:

• the image of any bounded subset of X under T is totally bounded in Y.

If a linear operator is compact, then it is easy to see that it is bounded, and hence continuous.

In the following, X, Y, Z, W are Banach spaces, B(X, Y) is the space of bounded operators from X to Y with the operator norm, K(X, Y) is the space of compact operators from X to Y, B(X) = B(X, X), K(X) = K(X, X), ${\displaystyle id_{X}}$ is the identity operator on X.

• K(X, Y) is a closed subspace of B(X, Y) (in the norm topology)[5]:
  • That is, suppose T_n, n ∈ N, be a sequence of compact operators from one Banach space to the other, and suppose that T_n converges to T with respect to the operator norm. Then T is also compact.
• Conversely, if X, Y are Hilbert spaces, then every compact operator from X to Y is the limit of finite rank operators. Notably, this is false for general Banach spaces X and Y.
• ${\displaystyle B(Y,Z)\circ K(X,Y)\circ B(W,X)\subseteq K(W,Z).}$  In particular, K(X) forms a two-sided ideal in B(X).
• 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).
• If T : X → Y is bounded and compact, then:
  • the closure of the range of T is separable.[5][7]
  • if the range of T is closed in Y, then the range of T is finite-dimensional.[5][7]
• If X is a Banach space and if there exists an invertible bounded compact operator T : X → X then X is necessarily finite-dimensional.[7]

Now suppose that T : X → X is a bounded compact linear operator, X is a Banach space, and ${\displaystyle T^{*}:X^{*}\to X^{*}}$ is the adjoint or transpose of T.

• For any T ∈ K(X),  ${\displaystyle \operatorname {Id} _{X}-T}$  is a Fredholm operator of index 0. In particular,  ${\displaystyle \operatorname {Im} \,(\operatorname {Id} _{X}-T)}$  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 M and N are subspaces of a Banach space where M is closed and N is finite-dimensional, then M + N is also closed.
• If S : X → X is any bounded linear operator then both ${\displaystyle S\circ T}$ and ${\displaystyle T\circ S}$ are compact operators.[5]
• If ${\displaystyle \lambda \neq 0}$ then the range of ${\displaystyle T-\lambda \operatorname {Id} _{X}}$ is closed and the kernel of ${\displaystyle T-\lambda \operatorname {Id} _{X}}$ is finite-dimensional, where ${\displaystyle \operatorname {Id} _{X}:X\to X}$ is the identity map.[5]
• If ${\displaystyle \lambda \neq 0}$ then the following numbers are finite and equal:[5]

${\displaystyle \operatorname {dim} \operatorname {ker} \left(T-\lambda \operatorname {Id} _{X}\right)=\operatorname {dim} X/\operatorname {Im} \left(T-\lambda \operatorname {Id} _{X}\right)=\operatorname {dim} \operatorname {ker} \left(T*-\lambda \operatorname {Id} _{B^{*}}\right)=\operatorname {dim} X^{*}/\operatorname {Im} \left(T^{*}-\lambda \operatorname {Id} _{X^{*}}\right)}$

• If ${\displaystyle \lambda \neq 0}$ and ${\displaystyle \lambda \in \sigma (T)}$ then ${\displaystyle \lambda }$ is an eigenvalue of both T and ${\displaystyle T^{*}}$.[5]
• The spectrum of T, ${\displaystyle \sigma (T)}$, is compact, countable, and has at most one limit point, which would necessarily be 0.[5]
• If X is infinite-dimensional then 0 belongs to the spectrum of T (i.e. ${\displaystyle 0\in \sigma (T)}$).[5]
• For every ${\displaystyle r>0}$, the set ${\displaystyle E_{r}=\left\{\lambda \in \sigma (T):|\lambda |>r\right\}}$ is finite and for every non-zero ${\displaystyle \lambda \in \sigma (T)}$, the range of ${\displaystyle T-\lambda \operatorname {Id} _{X}}$ is a proper subset of X.[5]

A crucial property of compact operators is the Fredholm alternative, which asserts that the existence of solution of linear equations of the form

${\displaystyle (\lambda K+I)u=f\,}$

(where K is a compact operator, f is a given function, and u is the unknown function to be solved for) behaves 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 K on an infinite-dimensional Banach space has spectrum that is either a finite subset of C which includes 0, or the spectrum is a countably infinite subset of C which has 0 as its only limit point. Moreover, in either case the non-zero elements of the spectrum are eigenvalues of K with finite multiplicities (so that K − λI has a finite-dimensional kernel for all complex λ ≠ 0).

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.

For Hilbert spaces, another equivalent definition of compact operators is given as follows.

An operator ${\displaystyle T}$ on an infinite-dimensional Hilbert space ${\displaystyle {\mathcal {H}}}$

${\displaystyle T:{\mathcal {H}}\to {\mathcal {H}}}$

is said to be compact if it can be written in the form

${\displaystyle T=\sum _{n=1}^{\infty }\lambda _{n}\langle f_{n},\cdot \rangle g_{n}\,,}$

where ${\displaystyle f_{1},f_{2},\ldots }$ and ${\displaystyle g_{1},g_{2},\ldots }$ are orthonormal sets (not necessarily complete), and ${\displaystyle \lambda _{1},\lambda _{2},\ldots }$ is a sequence of positive numbers with limit zero, called the singular values of the operator. The singular values can accumulate only at zero. If the sequence becomes stationary at zero, that is ${\displaystyle \lambda _{N+k}=0}$ for some ${\displaystyle N\in \mathbb {N} ,}$  and every  ${\displaystyle k=1,2,\dots }$, then the operator has finite rank, i.e, a finite-dimensional range and can be written as

${\displaystyle T=\sum _{n=1}^{N}\lambda _{n}\langle f_{n},\cdot \rangle g_{n}\,.}$

The bracket ${\displaystyle \langle \cdot ,\cdot \rangle }$ is the scalar product on the Hilbert space; the sum on the right hand side converges in the operator norm.

An important subclass of compact operators is the trace-class or nuclear operators.

Let X and Y be Banach spaces. A bounded linear operator T : X → Y is called completely continuous if, for every weakly convergent sequence ${\displaystyle (x_{n})}$ from X, the sequence ${\displaystyle (Tx_{n})}$ is norm-convergent in Y (Conway 1985, §VI.3). Compact operators on a Banach space are always completely continuous. If X is a reflexive Banach space, then every completely continuous operator T : X → Y is compact.

Somewhat confusingly, compact operators are sometimes referred to as "completely continuous" in older literature, even though they are not necessarily completely continuous by the definition of that phrase in modern terminology.

• Every finite rank operator is compact.
• For ${\displaystyle \ell ^{p}}$ and a sequence (t_n) converging to zero, the multiplication operator (Tx)_n = t_n x_n is compact.
• For some fixed g ∈ C([0, 1]; R), define the linear operator T from C([0, 1]; R) to C([0, 1]; R) by

${\displaystyle (Tf)(x)=\int _{0}^{x}f(t)g(t)\,\mathrm {d} t.}$

That the operator T is indeed compact follows from the Ascoli theorem.

• More generally, if Ω is any domain in Rⁿ and the integral kernel k : Ω × Ω → R is a Hilbert—Schmidt kernel, then the operator T on L²(Ω; R) defined by

${\displaystyle (Tf)(x)=\int _{\Omega }k(x,y)f(y)\,\mathrm {d} y}$

is a compact operator.

• By Riesz's lemma, the identity operator is a compact operator if and only if the space is finite-dimensional.[9]

• Compact embedding
• Compact operator on Hilbert space
• Fredholm alternative
• Fredholm integral equations
• Fredholm operator
• Spectral theory of compact operators
• Strictly singular operator

• Conway, John B. (1985). A course in functional analysis. Springer-Verlag. Section 2.4. ISBN 978-3-540-96042-3.CS1 maint: ref=harv (link)

• 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.CS1 maint: ref=harv (link)

• 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. 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.

• Renardy, M.; Rogers, R. C. (2004). An introduction to partial differential equations. Texts in Applied Mathematics. 13 (2nd ed.). New York: Springer-Verlag. p. 356. ISBN 978-0-387-00444-0. (Section 7.5)

• Rudin, Walter (1991). Functional analysis. New York: McGraw-Hill Science/Engineering/Math. ISBN 978-0-07-054236-5. OCLC 21163277.

• Schaefer, Helmut H. (1999). Topological Vector Spaces. GTM. 3. New York, NY: Springer New York Imprint Springer. ISBN 978-1-4612-7155-0. OCLC 840278135.CS1 maint: ref=harv (link)

• Trèves, François (2006). Topological vector spaces, distributions and kernels. Mineola, N.Y: Dover Publications. ISBN 978-0-486-45352-1. OCLC 853623322.CS1 maint: ref=harv (link)