In mathematics, the closed graph theorem describes conditions under which functions with closed graphs are guaranteed to be continuous. These theorems characterize the relationship between a function’s continuity and the properties of its graph. Various forms of the closed graph theorem appear across different mathematical contexts, offering fundamental insights into functional analysis and topology. A detailed discussion and examples can be found in a blog post by T. Tao, which lists several versions of closed graph theorems throughout mathematics.
Graphs and maps with closed graphs
Main article: Closed graph
If f : X → Y {\displaystyle f:X\to Y} is a map between topological spaces then the graph of f {\displaystyle f} is the set Γ f := { ( x , f ( x ) ) : x ∈ X } {\displaystyle \Gamma _{f}:=\{(x,f(x)):x\in X\}} or equivalently, Γ f := { ( x , y ) ∈ X × Y : y = f ( x ) } {\displaystyle \Gamma _{f}:=\{(x,y)\in X\times Y:y=f(x)\}} It is said that the graph of f {\displaystyle f} is closed if Γ f {\displaystyle \Gamma _{f}} is a closed subset of X × Y {\displaystyle X\times Y} (with the product topology).
Any continuous function into a Hausdorff space has a closed graph (see § Closed graph theorem in point-set topology)
Any linear map, L : X → Y , {\displaystyle L:X\to Y,} between two topological vector spaces whose topologies are (Cauchy) complete with respect to translation invariant metrics, and if in addition (1a) L {\displaystyle L} is sequentially continuous in the sense of the product topology, then the map L {\displaystyle L} is continuous and its graph, Gr L, is necessarily closed. Conversely, if L {\displaystyle L} is such a linear map with, in place of (1a), the graph of L {\displaystyle L} is (1b) known to be closed in the Cartesian product space X × Y {\displaystyle X\times Y} , then L {\displaystyle L} is continuous and therefore necessarily sequentially continuous.2
Examples of continuous maps that do not have a closed graph
If X {\displaystyle X} is any space then the identity map Id : X → X {\displaystyle \operatorname {Id} :X\to X} is continuous but its graph, which is the diagonal Γ Id := { ( x , x ) : x ∈ X } , {\displaystyle \Gamma _{\operatorname {Id} }:=\{(x,x):x\in X\},} , is closed in X × X {\displaystyle X\times X} if and only if X {\displaystyle X} is Hausdorff.3 In particular, if X {\displaystyle X} is not Hausdorff then Id : X → X {\displaystyle \operatorname {Id} :X\to X} is continuous but does not have a closed graph.
Let X {\displaystyle X} denote the real numbers R {\displaystyle \mathbb {R} } with the usual Euclidean topology and let Y {\displaystyle Y} denote R {\displaystyle \mathbb {R} } with the indiscrete topology (where note that Y {\displaystyle Y} is not Hausdorff and that every function valued in Y {\displaystyle Y} is continuous). Let f : X → Y {\displaystyle f:X\to Y} be defined by f ( 0 ) = 1 {\displaystyle f(0)=1} and f ( x ) = 0 {\displaystyle f(x)=0} for all x ≠ 0 {\displaystyle x\neq 0} . Then f : X → Y {\displaystyle f:X\to Y} is continuous but its graph is not closed in X × Y {\displaystyle X\times Y} .4
Closed graph theorem in point-set topology
In point-set topology, the closed graph theorem states the following:
Closed graph theorem5—If f : X → Y {\displaystyle f:X\to Y} is a map from a topological space X {\displaystyle X} into a Hausdorff space Y , {\displaystyle Y,} then the graph of f {\displaystyle f} is closed if f : X → Y {\displaystyle f:X\to Y} is continuous. The converse is true when Y {\displaystyle Y} is compact. (Note that compactness and Hausdorffness do not imply each other.)
ProofFirst part: just note that the graph of f {\displaystyle f} is the same as the pre-image ( f × id Y ) − 1 ( D ) {\displaystyle (f\times \operatorname {id} _{Y})^{-1}(D)} where D = { ( y , y ) ∣ y ∈ Y } {\displaystyle D=\{(y,y)\mid y\in Y\}} is the diagonal in Y 2 {\displaystyle Y^{2}} .
Second part:
For any open V ⊂ Y {\displaystyle V\subset Y} , we check f − 1 ( V ) {\displaystyle f^{-1}(V)} is open. So take any x ∈ f − 1 ( V ) {\displaystyle x\in f^{-1}(V)} , we construct some open neighborhood U {\displaystyle U} of x {\displaystyle x} , such that f ( U ) ⊂ V {\displaystyle f(U)\subset V} .
Since the graph of f {\displaystyle f} is closed, for every point ( x , y ′ ) {\displaystyle (x,y')} on the "vertical line at x", with y ′ ≠ f ( x ) {\displaystyle y'\neq f(x)} , draw an open rectangle U y ′ × V y ′ {\displaystyle U_{y'}\times V_{y'}} disjoint from the graph of f {\displaystyle f} . These open rectangles, when projected to the y-axis, cover the y-axis except at f ( x ) {\displaystyle f(x)} , so add one more set V {\displaystyle V} .
Naively attempting to take U := ⋂ y ′ ≠ f ( x ) U y ′ {\displaystyle U:=\bigcap _{y'\neq f(x)}U_{y'}} would construct a set containing x {\displaystyle x} , but it is not guaranteed to be open, so we use compactness here.
Since Y {\displaystyle Y} is compact, we can take a finite open covering of Y {\displaystyle Y} as { V , V y 1 ′ , . . . , V y n ′ } {\displaystyle \{V,V_{y'_{1}},...,V_{y'_{n}}\}} .
Now take U := ⋂ i = 1 n U y i ′ {\displaystyle U:=\bigcap _{i=1}^{n}U_{y'_{i}}} . It is an open neighborhood of x {\displaystyle x} , since it is merely a finite intersection. We claim this is the open neighborhood U {\displaystyle U} of x {\displaystyle x} that we want.
Suppose not, then there is some unruly x ′ ∈ U {\displaystyle x'\in U} such that f ( x ′ ) ∉ V {\displaystyle f(x')\not \in V} , then that would imply f ( x ′ ) ∈ V y i ′ {\displaystyle f(x')\in V_{y'_{i}}} for some i {\displaystyle i} by open covering, but then ( x ′ , f ( x ′ ) ) ∈ U × V y i ′ ⊂ U y i ′ × V y i ′ {\displaystyle (x',f(x'))\in U\times V_{y'_{i}}\subset U_{y'_{i}}\times V_{y'_{i}}} , a contradiction since it is supposed to be disjoint from the graph of f {\displaystyle f} .
If X, Y are compact Hausdorff spaces, then the theorem can also be deduced from the open mapping theorem for such spaces; see § Relation to the open mapping theorem.
Non-Hausdorff spaces are rarely seen, but non-compact spaces are common. An example of non-compact Y {\displaystyle Y} is the real line, which allows the discontinuous function with closed graph f ( x ) = { 1 x if x ≠ 0 , 0 else {\displaystyle f(x)={\begin{cases}{\frac {1}{x}}{\text{ if }}x\neq 0,\\0{\text{ else}}\end{cases}}} .
Also, closed linear operators in functional analysis (linear operators with closed graphs) are typically not continuous.
For set-valued functions
Closed graph theorem for set-valued functions6—For a Hausdorff compact range space Y {\displaystyle Y} , a set-valued function F : X → 2 Y {\displaystyle F:X\to 2^{Y}} has a closed graph if and only if it is upper hemicontinuous and F(x) is a closed set for all x ∈ X {\displaystyle x\in X} .
In functional analysis
Main article: Closed graph theorem (functional analysis)
If T : X → Y {\displaystyle T:X\to Y} is a linear operator between topological vector spaces (TVSs) then we say that T {\displaystyle T} is a closed operator if the graph of T {\displaystyle T} is closed in X × Y {\displaystyle X\times Y} when X × Y {\displaystyle X\times Y} is endowed with the product topology.
The closed graph theorem is an important result in functional analysis that guarantees that a closed linear operator is continuous under certain conditions. The original result has been generalized many times. A well known version of the closed graph theorems is the following.
Theorem78—A linear map between two F-spaces (e.g. Banach spaces) is continuous if and only if its graph is closed.
The theorem is a consequence of the open mapping theorem; see § Relation to the open mapping theorem below (conversely, the open mapping theorem in turn can be deduced from the closed graph theorem).
Relation to the open mapping theorem
Often, the closed graph theorems are obtained as corollaries of the open mapping theorems in the following way.910 Let f : X → Y {\displaystyle f:X\to Y} be any map. Then it factors as
f : X → i Γ f → q Y {\displaystyle f:X{\overset {i}{\to }}\Gamma _{f}{\overset {q}{\to }}Y} .Now, i {\displaystyle i} is the inverse of the projection p : Γ f → X {\displaystyle p:\Gamma _{f}\to X} . So, if the open mapping theorem holds for p {\displaystyle p} ; i.e., p {\displaystyle p} is an open mapping, then i {\displaystyle i} is continuous and then f {\displaystyle f} is continuous (as the composition of continuous maps).
For example, the above argument applies if f {\displaystyle f} is a linear operator between Banach spaces with closed graph, or if f {\displaystyle f} is a map with closed graph between compact Hausdorff spaces.
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
- Barrelled space – Type of topological vector space
- Closed graph – Graph of a map closed in the product spacePages displaying short descriptions of redirect targets
- Closed linear operator – Linear operator whose graph is closed
- Discontinuous linear map
- Kakutani fixed-point theorem – Fixed-point theorem for set-valued functions
- Open mapping theorem (functional analysis) – Condition for a linear operator to be open
- Ursescu theorem – Generalization of closed graph, open mapping, and uniform boundedness theorem
- Webbed space – Space where open mapping and closed graph theorems hold
- Zariski's main theorem – Theorem of algebraic geometry and commutative algebra
Notes
Bibliography
- Bourbaki, Nicolas (1987) [1981]. Topological Vector Spaces: Chapters 1–5. Éléments de mathématique. Translated by Eggleston, H.G.; Madan, S. Berlin New York: Springer-Verlag. ISBN 3-540-13627-4. OCLC 17499190.
- Folland, Gerald B. (1984), Real Analysis: Modern Techniques and Their Applications (1st ed.), John Wiley & Sons, ISBN 978-0-471-80958-6
- Jarchow, Hans (1981). Locally convex spaces. Stuttgart: B.G. Teubner. ISBN 978-3-519-02224-4. OCLC 8210342.
- 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.
- Munkres, James R. (2000). Topology (2nd ed.). Upper Saddle River, NJ: Prentice Hall, Inc. ISBN 978-0-13-181629-9. OCLC 42683260. (accessible to patrons with print disabilities)
- 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.
- 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.
- 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.
- Zălinescu, Constantin (30 July 2002). Convex Analysis in General Vector Spaces. River Edge, N.J. London: World Scientific Publishing. ISBN 978-981-4488-15-0. MR 1921556. OCLC 285163112 – via Internet Archive.
- "Proof of closed graph theorem". PlanetMath.
References
"The closed graph theorem in various categories". 21 November 2012. https://terrytao.wordpress.com/2012/11/20/the-closed-graph-theorem-in-various-categories/ ↩
Rudin 1991, p. 51-52. - 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. https://archive.org/details/functionalanalys00rudi ↩
Rudin 1991, p. 50. - 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. https://archive.org/details/functionalanalys00rudi ↩
Narici & Beckenstein 2011, pp. 459–483. - Narici, Lawrence; Beckenstein, Edward (2011). Topological Vector Spaces. Pure and applied mathematics (Second ed.). Boca Raton, FL: CRC Press. ISBN 978-1584888666. OCLC 144216834. https://search.worldcat.org/oclc/144216834 ↩
Munkres 2000, pp. 163–172. - Munkres, James R. (2000). Topology (2nd ed.). Upper Saddle River, NJ: Prentice Hall, Inc. ISBN 978-0-13-181629-9. OCLC 42683260. https://search.worldcat.org/oclc/42683260 ↩
Aliprantis, Charlambos; Kim C. Border (1999). "Chapter 17". Infinite Dimensional Analysis: A Hitchhiker's Guide (3rd ed.). Springer. /wiki/Kim_C._Border ↩
Schaefer & Wolff 1999, p. 78. - 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. https://search.worldcat.org/oclc/840278135 ↩
Trèves (2006), p. 173 - Trèves, François (2006) [1967]. Topological Vector Spaces, Distributions and Kernels. Mineola, N.Y.: Dover Publications. ISBN 978-0-486-45352-1. OCLC 853623322. https://search.worldcat.org/oclc/853623322 ↩
"The closed graph theorem in various categories". 21 November 2012. https://terrytao.wordpress.com/2012/11/20/the-closed-graph-theorem-in-various-categories/ ↩
Noll, Dominikus (2024). "Topological spaces satisfying a closed graph theorem". arXiv:2403.03904 [math.GN]. /wiki/ArXiv_(identifier) ↩