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Closed linear operator

From Wikipedia, the free encyclopedia

In functional analysis, a branch of mathematics, a closed linear operator or often a closed operator is a partially defined linear operator whose graph is closed (see closed graph property). It is a basic example of an unbounded operator.

The closed graph theorem says a linear operator {\displaystyle f:X\to Y} between Banach spaces is a closed operator if and only if it is a bounded operator and the domain of the operator is {\displaystyle X}. In practice, many operators are unbounded, but it is still desirable to make them have closed graph. Hence, they cannot be defined on all of {\displaystyle X}. To stay useful, they are instead defined on a proper but dense subspace, which still allows approximating any vector and keeps key tools (closures, adjoints, spectral theory) available.

Definition

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It is common in functional analysis to consider partial functions, which are functions defined on a subset of some space {\displaystyle X.} A partial function {\displaystyle f} is declared with the notation {\displaystyle f:D\subseteq X\to Y,} which indicates that {\displaystyle f} has prototype {\displaystyle f:D\to Y} (that is, its domain is {\displaystyle D} and its codomain is {\displaystyle Y})

Every partial function is, in particular, a function and so all terminology for functions can be applied to them. For instance, the graph of a partial function {\displaystyle f} is the set {\displaystyle \operatorname {graph} {\!(f)}=\{(x,f(x)):x\in \operatorname {dom} f\}.} However, one exception to this is the definition of "closed graph". A partial function {\displaystyle f:D\subseteq X\to Y} is said to have a closed graph if {\displaystyle \operatorname {graph} f} is a closed subset of {\displaystyle X\times Y} in the product topology; importantly, note that the product space is {\displaystyle X\times Y} and not {\displaystyle D\times Y=\operatorname {dom} f\times Y} as it was defined above for ordinary functions. In contrast, when {\displaystyle f:D\to Y} is considered as an ordinary function (rather than as the partial function {\displaystyle f:D\subseteq X\to Y}), then "having a closed graph" would instead mean that {\displaystyle \operatorname {graph} f} is a closed subset of {\displaystyle D\times Y.} If {\displaystyle \operatorname {graph} f} is a closed subset of {\displaystyle X\times Y} then it is also a closed subset of {\displaystyle \operatorname {dom} (f)\times Y} although the converse is not guaranteed in general.

Definition: If X and Y are topological vector spaces (TVSs) then we call a linear map f : D(f) ⊆ XY a closed linear operator if its graph is closed in X × Y.

The antonym of "closed" is "unclosed". that is, an unclosed linear operator is a linear operator whose graph is strictly smaller than its closure.

Closable maps and closures

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A linear operator {\displaystyle f:D\subseteq X\to Y} is closable in {\displaystyle X\times Y} if there exists a vector subspace {\displaystyle E\subseteq X} containing {\displaystyle D} and a function (resp. multifunction) {\displaystyle F:E\to Y} whose graph is equal to the closure of the set {\displaystyle \operatorname {graph} f} in {\displaystyle X\times Y.} Such an {\displaystyle F} is called a closure of {\displaystyle f} in {\displaystyle X\times Y}, is denoted by {\displaystyle {\overline {f}},} and necessarily extends {\displaystyle f.}

If {\displaystyle f:D\subseteq X\to Y} is a closable linear operator then a core or an essential domain of {\displaystyle f} is a subset {\displaystyle C\subseteq D} such that the closure in {\displaystyle X\times Y} of the graph of the restriction {\displaystyle f{\big \vert }_{C}:C\to Y} of {\displaystyle f} to {\displaystyle C} is equal to the closure of the graph of {\displaystyle f} in {\displaystyle X\times Y} (i.e. the closure of {\displaystyle \operatorname {graph} f} in {\displaystyle X\times Y} is equal to the closure of {\displaystyle \operatorname {graph} f{\big \vert }_{C}} in {\displaystyle X\times Y}).

Examples

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A bounded operator is a closed operator by the closed graph theorem. More interesting examples of closed operators are unbounded.

If {\displaystyle (X,\tau )} is a Hausdorff TVS and {\displaystyle \nu } is a vector topology on {\displaystyle X} that is strictly finer than {\displaystyle \tau ,} then the identity map {\displaystyle \operatorname {Id} :(X,\tau )\to (X,\nu )} a closed discontinuous linear operator.[1]

Consider the derivative operator {\displaystyle f={\frac {d}{dx}}} where {\displaystyle X=Y=C([a,b])} is the Banach space (with supremum norm) of all continuous functions on an interval {\displaystyle [a,b].} If one takes its domain {\displaystyle D(f)} to be {\displaystyle C^{1}([a,b]),} then {\displaystyle f} is a closed operator, which is not bounded.[2] On the other hand, if {\displaystyle D(f)} is the space {\displaystyle C^{\infty }([a,b])} of smooth scalar valued functions then {\displaystyle f} will no longer be closed, but it will be closable, with the closure being its extension defined on {\displaystyle C^{1}([a,b]).} To show that {\displaystyle f} is not closed when restricted to {\displaystyle C^{\infty }([a,b])\to C^{\infty }([a,b])}, take a function {\displaystyle u} that is {\displaystyle C^{1}} but not smooth, such as {\displaystyle u(x)=x^{3/2}}. Then mollify it to a sequence of smooth functions {\displaystyle (u_{n})_{n\in \mathbb {N} }} such that {\displaystyle \|u_{n}-u\|_{\infty }\to 0}, then {\displaystyle \|f(u_{n})-u'\|_{\infty }\to 0}, but {\displaystyle (u,u')} is not in the graph of {\displaystyle f|_{C^{\infty }([a,b])}}.

Basic properties

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The following properties are easily checked for a linear operator {\displaystyle f:\operatorname {D} (f)\subseteq X\to Y} between Banach spaces:

  • The bounded If {\displaystyle f} is defined on the entire domain {\displaystyle X}, then {\displaystyle f} is closed iff it is bounded.
  • If {\displaystyle A} is closed then {\displaystyle A-\lambda \mathrm {Id} _{\operatorname {D} (f)}} is closed where {\displaystyle \lambda } is a scalar and {\displaystyle \mathrm {Id} _{\operatorname {D} (f)}} is the identity function;
  • If {\displaystyle f} is closed, then its kernel (or nullspace) is a closed vector subspace of {\displaystyle X};
  • If {\displaystyle f} is closed and injective then its inverse {\displaystyle f^{-1}} is also closed;
  • A linear operator {\displaystyle f} admits a closure if and only if for every {\displaystyle x\in X} and every pair of sequences {\displaystyle x_{\bullet }=(x_{i})_{i=1}^{\infty }} and {\displaystyle y_{\bullet }=(y_{i})_{i=1}^{\infty }} in {\displaystyle \operatorname {D} (f)} both converging to {\displaystyle x} in {\displaystyle X}, such that both {\displaystyle f(x_{\bullet })=(f(x_{i}))_{i=1}^{\infty }} and {\displaystyle f(y_{\bullet })=(f(y_{i}))_{i=1}^{\infty }} converge in {\displaystyle Y}, one has {\displaystyle \lim _{i\to \infty }f(x_{i})=\lim _{i\to \infty }f(y_{i})}.

References

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  1. ^ Narici & Beckenstein 2011, p. 480.
  2. ^ Kreyszig, Erwin (1978). Introductory Functional Analysis With Applications. USA: John Wiley & Sons. Inc. p. 294. ISBN 0-471-50731-8.
Closed linear operator
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