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A closed linear operator is a linear map whose graph is closed (it need not be continuous or bounded).
It is common in functional analysis to call such maps "closed", but this should not be confused the non-equivalent notion of a "closed map" that appears in general topology.
Partial functions
It is common in functional analysis to consider partial functions, which are functions defined on a densesubset 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 ) and that is a dense subset of
Since the domain is denoted by it is not always necessary to assign a symbol (such as ) to a partial function's domain, in which case the notation or may be used to indicate that is a partial function with codomain whose domain is a dense subset of [1]
A densely defined linear operator between vector spaces is a partial function whose domain is a dense vector subspace of a TVS such that is a linear map.
A prototypical example of a partial function is the derivative operator, which is only defined on the space of once continuously differentiable functions, a dense subset of the space of continuous functions.
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 (as before) the set
However, one exception to this is the definition of "closed graph". A partial function is said to have a closed graph (respectively, a sequentially closed graph) if is a closed (respectively, sequentially closed) subset of in the product topology; importantly, note that the product space is and not as it was defined above for ordinary functions.[note 1]
Closable maps and closures
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 ).
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
Examples and counterexamples
Continuous but not closed maps
Let denote the real numbers with the usual Euclidean topology and let denote with the indiscrete topology (where is not Hausdorff and that every function valued in is continuous).
Let be defined by and for all
Then is continuous but its graph is not closed in [2]
If is any space then the identity map is continuous but its graph, which is the diagonal is closed in if and only if is Hausdorff.[3] In particular, if is not Hausdorff then is continuous but not closed.
If is a continuous map whose graph is not closed then is not a Hausdorff space.
Closed but not continuous maps
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.[4]
Consider the derivative operator where is the Banach space of all continuous functions on an interval
If one takes its domain to be then is a closed operator, which is not bounded.[5]
On the other hand, if is the space of smooth functions scalar valued functions then will no longer be closed, but it will be closable, with the closure being its extension defined on
Let and both denote the real numbers with the usual Euclidean topology. Let be defined by and for all Then has a closed graph (and a sequentially closed graph) in but it is not continuous (since it has a discontinuity at ).[2]
Let denote the real numbers with the usual Euclidean topology, let denote with the discrete topology, and let be the identity map (i.e. for every ). Then is a linear map whose graph is closed in but it is clearly not continuous (since singleton sets are open in but not in ).[2]
^Kreyszig, Erwin (1978). Introductory Functional Analysis With Applications. USA: John Wiley & Sons. Inc. p. 294. ISBN0-471-50731-8.
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