Semi-reflexive space

In the area of mathematics known as functional analysis, a semi-reflexive space is a locally convex topological vector space (TVS) X such that the canonical evaluation map from X into its bidual (which is the strong dual of X) is bijective. If this map is also an isomorphism of TVSs then it is called reflexive.

Semi-reflexive spaces play an important role in the general theory of locally convex TVSs. Since a normable TVS is semi-reflexive if and only if it is reflexive, the concept of semi-reflexivity is primarily used with TVSs that are not normable.

Definition and notation

Brief definition

Suppose that X is a topological vector space (TVS) over the field F {\displaystyle \mathbb {F} } (which is either the real or complex numbers) whose continuous dual space, X {\displaystyle X^{\prime }} , separates points on X (i.e. for any x X {\displaystyle x\in X} there exists some x X {\displaystyle x^{\prime }\in X^{\prime }} such that x ( x ) 0 {\displaystyle x^{\prime }(x)\neq 0} ). Let X b {\displaystyle X_{b}^{\prime }} and X β {\displaystyle X_{\beta }^{\prime }} both denote the strong dual of X, which is the vector space X {\displaystyle X^{\prime }} of continuous linear functionals on X endowed with the topology of uniform convergence on bounded subsets of X; this topology is also called the strong dual topology and it is the "default" topology placed on a continuous dual space (unless another topology is specified). If X is a normed space, then the strong dual of X is the continuous dual space X {\displaystyle X^{\prime }} with its usual norm topology. The bidual of X, denoted by X {\displaystyle X^{\prime \prime }} , is the strong dual of X b {\displaystyle X_{b}^{\prime }} ; that is, it is the space ( X b ) b {\displaystyle \left(X_{b}^{\prime }\right)_{b}^{\prime }} .[1]

For any x X , {\displaystyle x\in X,} let J x : X F {\displaystyle J_{x}:X^{\prime }\to \mathbb {F} } be defined by J x ( x ) = x ( x ) {\displaystyle J_{x}\left(x^{\prime }\right)=x^{\prime }(x)} , where J x {\displaystyle J_{x}} is called the evaluation map at x; since J x : X b F {\displaystyle J_{x}:X_{b}^{\prime }\to \mathbb {F} } is necessarily continuous, it follows that J x ( X b ) {\displaystyle J_{x}\in \left(X_{b}^{\prime }\right)^{\prime }} . Since X {\displaystyle X^{\prime }} separates points on X, the map J : X ( X b ) {\displaystyle J:X\to \left(X_{b}^{\prime }\right)^{\prime }} defined by J ( x ) := J x {\displaystyle J(x):=J_{x}} is injective where this map is called the evaluation map or the canonical map. This map was introduced by Hans Hahn in 1927.[2]

We call X semireflexive if J : X ( X b ) {\displaystyle J:X\to \left(X_{b}^{\prime }\right)^{\prime }} is bijective (or equivalently, surjective) and we call X reflexive if in addition J : X X = ( X b ) b {\displaystyle J:X\to X^{\prime \prime }=\left(X_{b}^{\prime }\right)_{b}^{\prime }} is an isomorphism of TVSs.[1] If X is a normed space then J is a TVS-embedding as well as an isometry onto its range; furthermore, by Goldstine's theorem (proved in 1938), the range of J is a dense subset of the bidual ( X , σ ( X , X ) ) {\displaystyle \left(X^{\prime \prime },\sigma \left(X^{\prime \prime },X^{\prime }\right)\right)} .[2] A normable space is reflexive if and only if it is semi-reflexive. A Banach space is reflexive if and only if its closed unit ball is σ ( X , X ) {\displaystyle \sigma \left(X^{\prime },X\right)} -compact.[2]

Detailed definition

Let X be a topological vector space over a number field F {\displaystyle \mathbb {F} } (of real numbers R {\displaystyle \mathbb {R} } or complex numbers C {\displaystyle \mathbb {C} } ). Consider its strong dual space X b {\displaystyle X_{b}^{\prime }} , which consists of all continuous linear functionals f : X F {\displaystyle f:X\to \mathbb {F} } and is equipped with the strong topology b ( X , X ) {\displaystyle b\left(X^{\prime },X\right)} , that is, the topology of uniform convergence on bounded subsets in X. The space X b {\displaystyle X_{b}^{\prime }} is a topological vector space (to be more precise, a locally convex space), so one can consider its strong dual space ( X b ) b {\displaystyle \left(X_{b}^{\prime }\right)_{b}^{\prime }} , which is called the strong bidual space for X. It consists of all continuous linear functionals h : X b F {\displaystyle h:X_{b}^{\prime }\to {\mathbb {F} }} and is equipped with the strong topology b ( ( X b ) , X b ) {\displaystyle b\left(\left(X_{b}^{\prime }\right)^{\prime },X_{b}^{\prime }\right)} . Each vector x X {\displaystyle x\in X} generates a map J ( x ) : X b F {\displaystyle J(x):X_{b}^{\prime }\to \mathbb {F} } by the following formula:

J ( x ) ( f ) = f ( x ) , f X . {\displaystyle J(x)(f)=f(x),\qquad f\in X'.}

This is a continuous linear functional on X b {\displaystyle X_{b}^{\prime }} , that is, J ( x ) ( X b ) b {\displaystyle J(x)\in \left(X_{b}^{\prime }\right)_{b}^{\prime }} . One obtains a map called the evaluation map or the canonical injection:

J : X ( X b ) b . {\displaystyle J:X\to \left(X_{b}^{\prime }\right)_{b}^{\prime }.}

which is a linear map. If X is locally convex, from the Hahn–Banach theorem it follows that J is injective and open (that is, for each neighbourhood of zero U {\displaystyle U} in X there is a neighbourhood of zero V in ( X b ) b {\displaystyle \left(X_{b}^{\prime }\right)_{b}^{\prime }} such that J ( U ) V J ( X ) {\displaystyle J(U)\supseteq V\cap J(X)} ). But it can be non-surjective and/or discontinuous.

A locally convex space X {\displaystyle X} is called semi-reflexive if the evaluation map J : X ( X b ) b {\displaystyle J:X\to \left(X_{b}^{\prime }\right)_{b}^{\prime }} is surjective (hence bijective); it is called reflexive if the evaluation map J : X ( X b ) b {\displaystyle J:X\to \left(X_{b}^{\prime }\right)_{b}^{\prime }} is surjective and continuous, in which case J will be an isomorphism of TVSs).

Characterizations of semi-reflexive spaces

If X is a Hausdorff locally convex space then the following are equivalent:

  1. X is semireflexive;
  2. the weak topology on X had the Heine-Borel property (that is, for the weak topology σ ( X , X ) {\displaystyle \sigma \left(X,X^{\prime }\right)} , every closed and bounded subset of X σ {\displaystyle X_{\sigma }} is weakly compact).[1]
  3. If linear form on X {\displaystyle X^{\prime }} that continuous when X {\displaystyle X^{\prime }} has the strong dual topology, then it is continuous when X {\displaystyle X^{\prime }} has the weak topology;[3]
  4. X τ {\displaystyle X_{\tau }^{\prime }} is barrelled, where the τ {\displaystyle \tau } indicates the Mackey topology on X {\displaystyle X^{\prime }} ;[3]
  5. X weak the weak topology σ ( X , X ) {\displaystyle \sigma \left(X,X^{\prime }\right)} is quasi-complete.[3]

Theorem[4] — A locally convex Hausdorff space X {\displaystyle X} is semi-reflexive if and only if X {\displaystyle X} with the σ ( X , X ) {\displaystyle \sigma \left(X,X^{\prime }\right)} -topology has the Heine–Borel property (i.e. weakly closed and bounded subsets of X {\displaystyle X} are weakly compact).

Sufficient conditions

Every semi-Montel space is semi-reflexive and every Montel space is reflexive.

Properties

If X {\displaystyle X} is a Hausdorff locally convex space then the canonical injection from X {\displaystyle X} into its bidual is a topological embedding if and only if X {\displaystyle X} is infrabarrelled.[5]

The strong dual of a semireflexive space is barrelled. Every semi-reflexive space is quasi-complete.[3] Every semi-reflexive normed space is a reflexive Banach space.[6] The strong dual of a semireflexive space is barrelled.[7]

Reflexive spaces

If X is a Hausdorff locally convex space then the following are equivalent:

  1. X is reflexive;
  2. X is semireflexive and barrelled;
  3. X is barrelled and the weak topology on X had the Heine-Borel property (which means that for the weak topology σ ( X , X ) {\displaystyle \sigma \left(X,X^{\prime }\right)} , every closed and bounded subset of X σ {\displaystyle X_{\sigma }} is weakly compact).[1]
  4. X is semireflexive and quasibarrelled.[8]

If X is a normed space then the following are equivalent:

  1. X is reflexive;
  2. the closed unit ball is compact when X has the weak topology σ ( X , X ) {\displaystyle \sigma \left(X,X^{\prime }\right)} .[9]
  3. X is a Banach space and X b {\displaystyle X_{b}^{\prime }} is reflexive.[10]

Examples

Every non-reflexive infinite-dimensional Banach space is a distinguished space that is not semi-reflexive.[11] If X {\displaystyle X} is a dense proper vector subspace of a reflexive Banach space then X {\displaystyle X} is a normed space that not semi-reflexive but its strong dual space is a reflexive Banach space.[11] There exists a semi-reflexive countably barrelled space that is not barrelled.[11]

See also

Citations

  1. ^ a b c d Trèves 2006, pp. 372–374.
  2. ^ a b c Narici & Beckenstein 2011, pp. 225–273.
  3. ^ a b c d Schaefer & Wolff 1999, p. 144.
  4. ^ Edwards 1965, 8.4.2.
  5. ^ Narici & Beckenstein 2011, pp. 488–491.
  6. ^ Schaefer & Wolff 1999, p. 145.
  7. ^ Edwards 1965, 8.4.3.
  8. ^ Khaleelulla 1982, pp. 32–63.
  9. ^ Trèves 2006, p. 376.
  10. ^ Trèves 2006, p. 377.
  11. ^ a b c Khaleelulla 1982, pp. 28–63.

Bibliography

  • Edwards, Robert E. (1995). Functional Analysis: Theory and Applications. New York: Dover Publications. ISBN 978-0-486-68143-6. OCLC 30593138.
  • Edwards, R. E. (1965). Functional analysis. Theory and applications. New York: Holt, Rinehart and Winston. ISBN 0030505356.
  • John B. Conway, A Course in Functional Analysis, Springer, 1985.
  • James, Robert C. (1972), Some self-dual properties of normed linear spaces. Symposium on Infinite-Dimensional Topology (Louisiana State Univ., Baton Rouge, La., 1967), Ann. of Math. Studies, vol. 69, Princeton, NJ: Princeton Univ. Press, pp. 159–175.
  • Khaleelulla, S. M. (1982). Counterexamples in Topological Vector Spaces. Lecture Notes in Mathematics. Vol. 936. Berlin, Heidelberg, New York: Springer-Verlag. ISBN 978-3-540-11565-6. OCLC 8588370.
  • Kolmogorov, A. N.; Fomin, S. V. (1957). Elements of the Theory of Functions and Functional Analysis, Volume 1: Metric and Normed Spaces. Rochester: Graylock Press.
  • Megginson, Robert E. (1998), An introduction to Banach space theory, Graduate Texts in Mathematics, vol. 183, New York: Springer-Verlag, pp. xx+596, ISBN 0-387-98431-3.
  • Narici, Lawrence; Beckenstein, Edward (2011). Topological Vector Spaces. Pure and applied mathematics (Second ed.). Boca Raton, FL: CRC Press. ISBN 978-1584888666. OCLC 144216834.
  • 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.
  • Schechter, Eric (1996). Handbook of Analysis and Its Foundations. San Diego, CA: Academic Press. ISBN 978-0-12-622760-4. OCLC 175294365.
  • 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.
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