Closed linear operator
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
[edit]It 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
[edit]A 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
[edit]A 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
[edit]The 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.