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 between Banach spaces is a closed operator if and only if it is a bounded operator and the ___domain of the operator is . 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 . 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
editIt is common in functional analysis to consider partial functions, which are functions defined on a subset of some space A partial function is declared with the notation which indicates that has prototype (that is, its ___domain is and its codomain is )
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 is the set However, one exception to this is the definition of "closed graph". A partial function is said to have a closed graph if is a closed subset of in the product topology; importantly, note that the product space is and not as it was defined above for ordinary functions. In contrast, when is considered as an ordinary function (rather than as the partial function ), then "having a closed graph" would instead mean that is a closed subset of If is a closed subset of then it is also a closed subset of 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) ⊆ X → Y 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
editA linear operator is closable in if there exists a vector subspace containing and a function (resp. multifunction) whose graph is equal to the closure of the set in Such an is called a closure of in , is denoted by and necessarily extends
If is a closable linear operator then a core or an essential ___domain of is a subset such that the closure in of the graph of the restriction of to is equal to the closure of the graph of in (i.e. the closure of in is equal to the closure of in ).
Examples
editA bounded operator is a closed operator by the closed graph theorem. More interesting examples of closed operators are unbounded.
If is a Hausdorff TVS and is a vector topology on that is strictly finer than then the identity map a closed discontinuous linear operator.[1]
Consider the derivative operator where is the Banach space (with supremum norm) of all continuous functions on an interval If one takes its ___domain to be then is a closed operator, which is not bounded.[2] On the other hand, if is the space of smooth scalar valued functions then will no longer be closed, but it will be closable, with the closure being its extension defined on To show that is not closed when restricted to , take a function that is but not smooth, such as . Then mollify it to a sequence of smooth functions such that , then , but is not in the graph of .
Basic properties
editThe following properties are easily checked for a linear operator between Banach spaces:
- The bounded If is defined on the entire ___domain , then is closed iff it is bounded.
- If is closed then is closed where is a scalar and is the identity function;
- If is closed, then its kernel (or nullspace) is a closed vector subspace of ;
- If is closed and injective then its inverse is also closed;
- A linear operator admits a closure if and only if for every and every pair of sequences and in both converging to in , such that both and converge in , one has .
References
edit- ^ Narici & Beckenstein 2011, p. 480.
- ^ Kreyszig, Erwin (1978). Introductory Functional Analysis With Applications. USA: John Wiley & Sons. Inc. p. 294. ISBN 0-471-50731-8.
- Dolecki, Szymon; Mynard, Frédéric (2016). Convergence Foundations Of Topology. New Jersey: World Scientific Publishing Company. ISBN 978-981-4571-52-4. OCLC 945169917.
- Mortad, Mohammed Hichem (2022), "Closedness", Counterexamples in Operator Theory, Cham: Springer International Publishing, pp. 307–344, doi:10.1007/978-3-030-97814-3_19, ISBN 978-3-030-97813-6[1]
- Narici, Lawrence; Beckenstein, Edward (2011). Topological Vector Spaces. Pure and applied mathematics (Second ed.). Boca Raton, FL: CRC Press. ISBN 978-1584888666. OCLC 144216834.
- 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.