Closed graph property

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In mathematics, particularly in functional analysis and topology, closed graph is a property of functions.[1][2] A function f : XY between topological spaces has a closed graph if its graph is a closed subset of the product space X × Y. A related property is open graph.[3]

This property is studied because there are many theorems, known as closed graph theorems, giving conditions under which a function with a closed graph is necessarily continuous. One particularly well-known class of closed graph theorems are the closed graph theorems in functional analysis.

Definitions

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Graphs and set-valued functions

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Definition and notation: The graph of a function f : XY is the set
Gr f := { (x, f(x)) : xX } = { (x, y) ∈ X × Y : y = f(x) }.
Notation: If Y is a set then the power set of Y, which is the set of all subsets of Y, is denoted by 2Y or 𝒫(Y).
Definition: If X and Y are sets, a set-valued function in Y on X (also called a Y-valued multifunction on X) is a function F : X → 2Y with domain X that is valued in 2Y. That is, F is a function on X such that for every xX, F(x) is a subset of Y.
  • Some authors call a function F : X → 2Y a set-valued function only if it satisfies the additional requirement that F(x) is not empty for every xX; this article does not require this.
Definition and notation: If F : X → 2Y is a set-valued function in a set Y then the graph of F is the set
Gr F := { (x, y) ∈ X × Y : yF(x) }.
Definition: A function f : XY can be canonically identified with the set-valued function F : X → 2Y defined by F(x) := { f(x) } for every xX, where F is called the canonical set-valued function induced by (or associated with) f.
  • Note that in this case, Gr f = Gr F.

Open and closed graph

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We give the more general definition of when a Y-valued function or set-valued function defined on a subset S of X has a closed graph since this generality is needed in the study of closed linear operators that are defined on a dense subspace S of a topological vector space X (and not necessarily defined on all of X). This particular case is one of the main reasons why functions with closed graphs are studied in functional analysis.

Assumptions: Throughout, X and Y are topological spaces, SX, and f is a Y-valued function or set-valued function on S (i.e. f : SY or f : S → 2Y). X × Y will always be endowed with the product topology.
Definition:[4] We say that f  has a closed graph in X × Y if the graph of f, Gr f, is a closed subset of X × Y when X × Y is endowed with the product topology. If S = X or if X is clear from context then we may omit writing "in X × Y"

Note that we may define an open graph, a sequentially closed graph, and a sequentially open graph in similar ways.

Observation: If g : SY is a function and G is the canonical set-valued function induced by g  (i.e. G : S → 2Y is defined by G(s) := { g(s) } for every sS) then since Gr g = Gr G, g has a closed (resp. sequentially closed, open, sequentially open) graph in X × Y if and only if the same is true of G.

Closable maps and closures

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Definition: We say that the function (resp. set-valued function) f is closable in X × Y if there exists a subset DX containing S and a function (resp. set-valued function) F : DY whose graph is equal to the closure of the set Gr f in X × Y. Such an F is called a closure of f in X × Y, is denoted by f, and necessarily extends f.
  • Additional assumptions for linear maps: If in addition, S, X, and Y are topological vector spaces and f : SY is a linear map then to call f closable we also require that the set D be a vector subspace of X and the closure of f be a linear map.
Definition: If f is closable on S then a core or essential domain of f is a subset DS such that the closure in X × Y of the graph of the restriction f|D : DY of f to D is equal to the closure of the graph of f in X × Y (i.e. the closure of Gr f in X × Y is equal to the closure of Gr f|D in X × Y).

Closed maps and closed linear operators

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Definition and notation: When we write f : D(f) ⊆ XY then we mean that f is a Y-valued function with domain D(f) where D(f) ⊆ X. If we say that f : D(f) ⊆ XY is closed (resp. sequentially closed) or has a closed graph (resp. has a sequentially closed graph) then we mean that the graph of f is closed (resp. sequentially closed) in X × Y (rather than in D(f) × Y).

When reading literature in functional analysis, if f : XY is a linear map between topological vector spaces (TVSs) (e.g. Banach spaces) then "f is closed" will almost always means the following:

Definition: A map f : XY is called closed if its graph is closed in X × Y. In particular, the term "closed linear operator" will almost certainly refer to a linear map whose graph is closed.

Otherwise, especially in literature about point-set topology, "f is closed" may instead mean the following:

Definition: A map f : XY between topological spaces is called a closed map if the image of a closed subset of X is a closed subset of Y.

These two definitions of "closed map" are not equivalent. If it is unclear, then it is recommended that a reader check how "closed map" is defined by the literature they are reading.

Characterizations

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Throughout, let X and Y be topological spaces.

Function with a closed graph

If f : XY is a function then the following are equivalent:

  1. f  has a closed graph (in X × Y);
  2. (definition) the graph of f, Gr f, is a closed subset of X × Y;
  3. for every xX and net x = (xi)iI in X such that xx in X, if yY is such that the net f(x) := (f(xi))iIy in Y then y = f(x);[4]
    • Compare this to the definition of continuity in terms of nets, which recall is the following: for every xX and net x = (xi)iI in X such that xx in X, f(x) → f(x) in Y.
    • Thus to show that the function f has a closed graph we may assume that f(x) converges in Y to some yY (and then show that y = f(x)) while to show that f is continuous we may not assume that f(x) converges in Y to some yY and we must instead prove that this is true (and moreover, we must more specifically prove that f(x) converges to f(x) in Y).

and if Y is a Hausdorff space that is compact, then we may add to this list:

  • f  is continuous;[5]
  • and if both X and Y are first-countable spaces then we may add to this list:

  • f  has a sequentially closed graph (in X × Y);
  • Function with a sequentially closed graph

    If f : XY is a function then the following are equivalent:

    1. f  has a sequentially closed graph (in X × Y);
    2. (definition) the graph of f is a sequentially closed subset of X × Y;
    3. for every xX and sequence x = (xi)
      i=1
      in X such that xx in X, if yY is such that the net f(x) := (f(xi))
      i=1
      y
      in Y then y = f(x);[4]
    set-valued function with a closed graph

    If F : X → 2Y is a set-valued function between topological spaces X and Y then the following are equivalent:

    1. F  has a closed graph (in X × Y);
    2. (definition) the graph of F is a closed subset of X × Y;

    and if Y is compact and Hausdorff then we may add to this list:

  • F is upper hemicontinuous and F(x) is a closed subset of Y for all xX;[6]
  • and if both X and Y are metrizable spaces then we may add to this list:

  • for all xX, yY, and sequences x = (xi)
    i=1
    in X and y = (yi)
    i=1
    in Y such that xx in X and yy in Y, and yiF(xi) for all i, then yF(x).[citation needed]
  • Characterizations of closed graphs (general topology)

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    Throughout, let   and   be topological spaces and   is endowed with the product topology.

    Function with a closed graph

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    If   is a function then it is said to have a closed graph if it satisfies any of the following are equivalent conditions:

    1. (Definition): The graph   of   is a closed subset of  
    2. For every   and net   in   such that   in   if   is such that the net   in   then  [4]
      • Compare this to the definition of continuity in terms of nets, which recall is the following: for every   and net   in   such that   in     in  
      • Thus to show that the function   has a closed graph, it may be assumed that   converges in   to some   (and then show that  ) while to show that   is continuous, it may not be assumed that   converges in   to some   and instead, it must be proven that this is true (and moreover, it must more specifically be proven that   converges to   in  ).

    and if   is a Hausdorff compact space then we may add to this list:

    1.   is continuous.[5]

    and if both   and   are first-countable spaces then we may add to this list:

    1.   has a sequentially closed graph in  

    Function with a sequentially closed graph

    If   is a function then the following are equivalent:

    1.   has a sequentially closed graph in  
    2. Definition: the graph of   is a sequentially closed subset of  
    3. For every   and sequence   in   such that   in   if   is such that the net   in   then  [4]

    Sufficient conditions for a closed graph

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    • If f : XY is a continuous function between topological spaces and if Y is Hausdorff then f  has a closed graph in X × Y.[4] However, if f is a function between Hausdorff topological spaces, then it is possible for f  to have a closed graph in X × Y but not be continuous.

    Closed graph theorems: When a closed graph implies continuity

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    Conditions that guarantee that a function with a closed graph is necessarily continuous are called closed graph theorems. Closed graph theorems are of particular interest in functional analysis where there are many theorems giving conditions under which a linear map with a closed graph is necessarily continuous.

    • If f : XY is a function between topological spaces whose graph is closed in X × Y and if Y is a compact space then f : XY is continuous.[4]

    Examples

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    For examples in functional analysis, see continuous linear operator.

    Continuous but not closed maps

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    • Let X denote the real numbers with the usual Euclidean topology and let Y denote with the indiscrete topology (where note that Y is not Hausdorff and that every function valued in Y is continuous). Let f : XY be defined by f(0) = 1 and f(x) = 0 for all x ≠ 0. Then f : XY is continuous but its graph is not closed in X × Y.[4]
    • If X is any space then the identity map Id : XX is continuous but its graph, which is the diagonal Gr Id := { (x, x) : xX }, is closed in X × X if and only if X is Hausdorff.[7] In particular, if X is not Hausdorff then Id : XX is continuous but not closed.
    • If f : XY is a continuous map whose graph is not closed then Y is not a Hausdorff space.

    Closed but not continuous maps

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    • Let X and Y both denote the real numbers with the usual Euclidean topology. Let f : XY be defined by f(0) = 0 and f(x) = 1/x for all x ≠ 0. Then f : XY has a closed graph (and a sequentially closed graph) in X × Y = ℝ2 but it is not continuous (since it has a discontinuity at x = 0).[4]
    • Let X denote the real numbers with the usual Euclidean topology, let Y denote with the discrete topology, and let Id : XY be the identity map (i.e. Id(x) := x for every xX). Then Id : XY is a linear map whose graph is closed in X × Y but it is clearly not continuous (since singleton sets are open in Y but not in X).[4]
    • Let (X, 𝜏) be a Hausdorff TVS and let 𝜐 be a vector topology on X that is strictly finer than 𝜏. Then the identity map Id : (X, 𝜏) → (X, 𝜐) is a closed discontinuous linear operator.[8]

    See also

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    References

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    1. ^ Baggs, Ivan (1974). "Functions with a closed graph". Proceedings of the American Mathematical Society. 43 (2): 439–442. doi:10.1090/S0002-9939-1974-0334132-8. ISSN 0002-9939.
    2. ^ Ursescu, Corneliu (1975). "Multifunctions with convex closed graph". Czechoslovak Mathematical Journal. 25 (3): 438–441. doi:10.21136/CMJ.1975.101337. ISSN 0011-4642.
    3. ^ Shafer, Wayne; Sonnenschein, Hugo (1975-12-01). "Equilibrium in abstract economies without ordered preferences" (PDF). Journal of Mathematical Economics. 2 (3): 345–348. doi:10.1016/0304-4068(75)90002-6. hdl:10419/220454. ISSN 0304-4068.
    4. ^ a b c d e f g h i j Narici & Beckenstein 2011, pp. 459–483.
    5. ^ a b Munkres 2000, p. 171.
    6. ^ Aliprantis, Charlambos; Kim C. Border (1999). "Chapter 17". Infinite Dimensional Analysis: A Hitchhiker's Guide (3rd ed.). Springer.
    7. ^ Rudin p.50
    8. ^ Narici & Beckenstein 2011, p. 480.