Closed graph property

Graph of a map closed in the product space

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

Graphs and set-valued functions

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

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 (resp. open graph, sequentially closed graph, sequentially open graph) in X × Y if the graph of f, Gr f, is a closed (resp. open, sequentially closed, sequentially open) 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"
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

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

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

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 compact space then we may add to this list:

  1. f  is continuous;[5]

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

  1. 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:

  1. 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:

  1. 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)

Throughout, let X {\displaystyle X} and Y {\displaystyle Y} be topological spaces and X × Y {\displaystyle X\times Y} is endowed with the product topology.

Function with a closed graph

If f : X Y {\displaystyle f:X\to Y} 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 graph f {\displaystyle \operatorname {graph} f} of f {\displaystyle f} is a closed subset of X × Y . {\displaystyle X\times Y.}
  2. For every x X {\displaystyle x\in X} and net x = ( x i ) i I {\displaystyle x_{\bullet }=\left(x_{i}\right)_{i\in I}} in X {\displaystyle X} such that x x {\displaystyle x_{\bullet }\to x} in X , {\displaystyle X,} if y Y {\displaystyle y\in Y} is such that the net f ( x ) = ( f ( x i ) ) i I y {\displaystyle f\left(x_{\bullet }\right)=\left(f\left(x_{i}\right)\right)_{i\in I}\to y} in Y {\displaystyle Y} then y = f ( x ) . {\displaystyle y=f(x).} [4]
    • Compare this to the definition of continuity in terms of nets, which recall is the following: for every x X {\displaystyle x\in X} and net x = ( x i ) i I {\displaystyle x_{\bullet }=\left(x_{i}\right)_{i\in I}} in X {\displaystyle X} such that x x {\displaystyle x_{\bullet }\to x} in X , {\displaystyle X,} f ( x ) f ( x ) {\displaystyle f\left(x_{\bullet }\right)\to f(x)} in Y . {\displaystyle Y.}
    • Thus to show that the function f {\displaystyle f} has a closed graph, it may be assumed that f ( x ) {\displaystyle f\left(x_{\bullet }\right)} converges in Y {\displaystyle Y} to some y Y {\displaystyle y\in Y} (and then show that y = f ( x ) {\displaystyle y=f(x)} ) while to show that f {\displaystyle f} is continuous, it may not be assumed that f ( x ) {\displaystyle f\left(x_{\bullet }\right)} converges in Y {\displaystyle Y} to some y Y {\displaystyle y\in Y} and instead, it must be proven that this is true (and moreover, it must more specifically be proven that f ( x ) {\displaystyle f\left(x_{\bullet }\right)} converges to f ( x ) {\displaystyle f(x)} in Y {\displaystyle Y} ).

and if Y {\displaystyle Y} is a Hausdorff compact space then we may add to this list:

  1. f {\displaystyle f} is continuous.[5]

and if both X {\displaystyle X} and Y {\displaystyle Y} are first-countable spaces then we may add to this list:

  1. f {\displaystyle f} has a sequentially closed graph in X × Y . {\displaystyle X\times Y.}

Function with a sequentially closed graph

If f : X Y {\displaystyle f:X\to Y} is a function then the following are equivalent:

  1. f {\displaystyle f} has a sequentially closed graph in X × Y . {\displaystyle X\times Y.}
  2. Definition: the graph of f {\displaystyle f} is a sequentially closed subset of X × Y . {\displaystyle X\times Y.}
  3. For every x X {\displaystyle x\in X} and sequence x = ( x i ) i = 1 {\displaystyle x_{\bullet }=\left(x_{i}\right)_{i=1}^{\infty }} in X {\displaystyle X} such that x x {\displaystyle x_{\bullet }\to x} in X , {\displaystyle X,} if y Y {\displaystyle y\in Y} is such that the net f ( x ) := ( f ( x i ) ) i = 1 y {\displaystyle f\left(x_{\bullet }\right):=\left(f\left(x_{i}\right)\right)_{i=1}^{\infty }\to y} in Y {\displaystyle Y} then y = f ( x ) . {\displaystyle y=f(x).} [4]

Sufficient conditions for a closed graph

  • 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]
    • Note that if f : XY 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

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

For examples in functional analysis, see continuous linear operator.

Continuous but not closed maps

  • 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

  • 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

  • Almost open linear map – Map that satisfies a condition similar to that of being an open map.Pages displaying short descriptions of redirect targets
  • Closed graph theorem – Theorem relating continuity to graphs
  • Closed graph theorem (functional analysis) – Theorems connecting continuity to closure of graphs
  • Kakutani fixed-point theorem – Fixed-point theorem for set-valued functions
  • Open mapping theorem (functional analysis) – Condition for a linear operator to be open
  • Webbed space – Space where open mapping and closed graph theorems hold

References

  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.
  • Köthe, Gottfried (1983) [1969]. Topological Vector Spaces I. Grundlehren der mathematischen Wissenschaften. Vol. 159. Translated by Garling, D.J.H. New York: Springer Science & Business Media. ISBN 978-3-642-64988-2. MR 0248498. OCLC 840293704.
  • Kriegl, Andreas; Michor, Peter W. (1997). The Convenient Setting of Global Analysis (PDF). Mathematical Surveys and Monographs. Vol. 53. Providence, R.I: American Mathematical Society. ISBN 978-0-8218-0780-4. OCLC 37141279.
  • Munkres, James R. (2000). Topology (Second ed.). Upper Saddle River, NJ: Prentice Hall, Inc. ISBN 978-0-13-181629-9. OCLC 42683260.
  • Narici, Lawrence; Beckenstein, Edward (2011). Topological Vector Spaces. Pure and applied mathematics (Second ed.). Boca Raton, FL: CRC Press. ISBN 978-1584888666. OCLC 144216834.
  • Robertson, Alex P.; Robertson, Wendy J. (1980). Topological Vector Spaces. Cambridge Tracts in Mathematics. Vol. 53. Cambridge England: Cambridge University Press. ISBN 978-0-521-29882-7. OCLC 589250.
  • 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.
  • Schaefer, Helmut H.; Wolff, Manfred P. (1999). Topological Vector Spaces. GTM. Vol. 8 (Second ed.). New York, NY: Springer New York Imprint Springer. ISBN 978-1-4612-7155-0. OCLC 840278135.
  • Swartz, Charles (1992). An introduction to Functional Analysis. New York: M. Dekker. ISBN 978-0-8247-8643-4. OCLC 24909067.
  • Trèves, François (2006) [1967]. Topological Vector Spaces, Distributions and Kernels. Mineola, N.Y.: Dover Publications. ISBN 978-0-486-45352-1. OCLC 853623322.
  • Wilansky, Albert (2013). Modern Methods in Topological Vector Spaces. Mineola, New York: Dover Publications, Inc. ISBN 978-0-486-49353-4. OCLC 849801114.