Reflexive spaces are a crucial concept in functional analysis, linking a space to its dual and bidual. They include finite-dimensional normed spaces, Hilbert spaces, and certain sequence and Lebesgue spaces, but not all Banach spaces are reflexive.

Understanding reflexivity helps analyze properties of direct sums and products of spaces. It's a stronger condition than completeness, offering deeper insights into the structure of normed spaces and their relationships to their dual spaces.

Reflexive Spaces

Examples of reflexive spaces

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  • Finite-dimensional normed spaces are always reflexive due to the natural isomorphism between a finite-dimensional space and its double dual
  • Hilbert spaces, such as the space of square-integrable functions L2(Ω)L^2(\Omega) over a measure space Ω\Omega, are reflexive because the Riesz representation theorem provides a natural between the space and its dual
  • The sequence spaces p\ell^p for 1<p<1 < p < \infty are reflexive, as the dual of p\ell^p is isometrically isomorphic to q\ell^q, where 1p+1q=1\frac{1}{p} + \frac{1}{q} = 1
  • The Lebesgue spaces Lp(Ω)L^p(\Omega) for 1<p<1 < p < \infty and a measure space Ω\Omega are reflexive, with the dual of Lp(Ω)L^p(\Omega) being isometrically isomorphic to Lq(Ω)L^q(\Omega), where 1p+1q=1\frac{1}{p} + \frac{1}{q} = 1
  • The sequence spaces 1\ell^1 and \ell^\infty are not reflexive, as their duals are \ell^\infty and (1)(\ell^1)^{**}, respectively, which are not isometrically isomorphic to the original spaces
  • The Lebesgue spaces L1(Ω)L^1(\Omega) and L(Ω)L^\infty(\Omega) for a measure space Ω\Omega are not reflexive, as their duals are L(Ω)L^\infty(\Omega) and the space of finitely additive measures on Ω\Omega, respectively, which are not isometrically isomorphic to the original spaces

Reflexivity of closed subspaces

  • The YY^* can be identified with the quotient space X/YX^*/Y^\perp, where Y={fX:f(y)=0 for all yY}Y^\perp = \{f \in X^* : f(y) = 0 \text{ for all } y \in Y\} is the annihilator of YY
  • The bidual YY^{**} can be identified with a subspace of XX^{**} via the composition of natural embeddings YXXY \hookrightarrow X \hookrightarrow X^{**}, where the first embedding is the inclusion map and the second is the natural embedding JXJ_X
  • The restriction of the surjective natural embedding JX:XXJ_X: X \to X^{**} to YY, denoted by JY:YYJ_Y: Y \to Y^{**}, is also surjective because YY^{**} is a subspace of XX^{**} and JXJ_X maps YY onto this subspace
  • The surjectivity of JYJ_Y implies that YY is reflexive, as the natural embedding from YY to its bidual is surjective

Properties of Reflexive Spaces

Reflexivity in sums and products

  • Direct sum:
    1. The dual space (XY)(X \oplus Y)^* is isometrically isomorphic to XYX^* \oplus Y^* by the definition of the dual of a direct sum
    2. The bidual space (XY)(X \oplus Y)^{**} is isometrically isomorphic to XYX^{**} \oplus Y^{**} by the definition of the bidual of a direct sum
    3. The surjectivity of the natural embeddings JX:XXJ_X: X \to X^{**} and JY:YYJ_Y: Y \to Y^{**} implies the surjectivity of their direct sum JXY:XY(XY)J_{X \oplus Y}: X \oplus Y \to (X \oplus Y)^{**}
    4. The surjectivity of JXYJ_{X \oplus Y} proves that XYX \oplus Y is reflexive
  • Product:
    1. The dual space (iIXi)(\prod_{i \in I} X_i)^* is isometrically isomorphic to the direct sum iIXi\bigoplus_{i \in I} X_i^* by the definition of the dual of a product space
    2. The bidual space (iIXi)(\prod_{i \in I} X_i)^{**} is isometrically isomorphic to the product iIXi\prod_{i \in I} X_i^{**} by the definition of the bidual of a product space
    3. The surjectivity of each natural embedding JXi:XiXiJ_{X_i}: X_i \to X_i^{**} implies the surjectivity of their product JXi:iIXi(iIXi)J_{\prod X_i}: \prod_{i \in I} X_i \to (\prod_{i \in I} X_i)^{**}
    4. The surjectivity of JXiJ_{\prod X_i} proves that iIXi\prod_{i \in I} X_i is reflexive

Reflexivity vs completeness

  • The Banach-Steinhaus theorem states that the dual of a normed space is always a (complete normed space)
  • A reflexive space XX is isometrically isomorphic to its bidual XX^{**}, which is a , implying that XX itself is a Banach space
  • The sequence spaces 1\ell^1, \ell^\infty and the Lebesgue spaces L1(Ω)L^1(\Omega), L(Ω)L^\infty(\Omega) for a measure space Ω\Omega are examples of Banach spaces that are not reflexive
  • Reflexivity is a stronger property than completeness for normed spaces, as it requires the natural embedding from the space to its bidual to be surjective, while completeness only requires Cauchy sequences to converge within the space

Key Terms to Review (23)

Baire's Theorem: Baire's Theorem states that in a complete metric space, the intersection of a countable collection of dense open sets is also dense. This theorem highlights the behavior of dense sets and plays a crucial role in various areas of functional analysis, particularly in understanding properties of reflexive spaces. Its implications extend to concepts such as separability and the structure of certain types of spaces.
Banach Space: A Banach space is a complete normed linear space where every Cauchy sequence converges within the space. This completeness property is vital in functional analysis as it ensures that limits of sequences remain within the space, allowing for robust analysis of functional properties and the behavior of operators.
Banach space: A Banach space is a complete normed vector space, meaning it is a vector space equipped with a norm such that every Cauchy sequence converges to a limit within the space. This property of completeness is crucial for ensuring the convergence of sequences, which allows for more robust analysis and applications in functional analysis.
Banach-Alaoglu Theorem: The Banach-Alaoglu Theorem states that in a normed space, the closed unit ball in the dual space is compact in the weak* topology. This theorem connects the concepts of dual spaces, weak topologies, and compactness, which are fundamental in understanding properties of linear functionals and their applications.
Bounded Linear Operator: A bounded linear operator is a linear transformation between two normed spaces that maps bounded sets to bounded sets, ensuring continuity. This means that there exists a constant $C$ such that for every vector $x$ in the domain, the norm of the operator applied to $x$ is less than or equal to $C$ times the norm of $x$. Bounded linear operators play a crucial role in functional analysis as they preserve structure and facilitate the study of continuity, adjointness, and compactness.
C([a,b]): The space c([a,b]) is the set of continuous functions defined on the closed interval [a,b] that are bounded and vanish at infinity. This space is significant in functional analysis as it is a complete normed vector space under the supremum norm, connecting various properties of function spaces with reflexivity and dual spaces.
C[0,1] space: The c[0,1] space is the space of continuous functions defined on the closed interval [0,1], which vanishes at the endpoints, meaning that f(0) = f(1) = 0. This space is significant in the study of functional analysis because it forms a Banach space when equipped with the supremum norm. Moreover, understanding the properties of c[0,1] space helps reveal insights about reflexive spaces as it relates to bounded linear operators and dual spaces.
Continuous Linear Functional: A continuous linear functional is a linear map from a vector space into its field of scalars that is continuous with respect to the topology of the vector space. This concept is crucial in understanding how linear functionals operate within various spaces, particularly in the context of dual spaces, where every continuous linear functional corresponds to an element of the dual space, impacting many significant results in functional analysis.
David Hilbert: David Hilbert was a German mathematician whose work laid foundational aspects of modern functional analysis, particularly through his contributions to the theory of infinite-dimensional spaces and linear operators. His ideas and results have become pivotal in understanding various areas of mathematics, influencing topics like the Hahn-Banach theorem and spectral theory.
Dual pairing: Dual pairing is a concept in functional analysis that refers to the relationship between a vector space and its dual space, where each element of the dual space corresponds to a linear functional that acts on the elements of the original space. This relationship is fundamental in understanding reflexive spaces, as it reveals how the original space can be represented in terms of its dual, leading to important properties and characterizations of reflexivity.
Dual Space: The dual space of a vector space consists of all linear functionals defined on that space. It captures the idea of measuring or evaluating vectors in terms of how they interact with linear functionals, which are themselves linear maps that take vectors as input and return scalars.
Hahn-Banach Theorem: The Hahn-Banach Theorem is a fundamental result in functional analysis that allows the extension of bounded linear functionals defined on a subspace to the entire space without increasing their norm. This theorem is crucial for understanding dual spaces, as it provides a way to construct continuous linear functionals, which are essential in various applications across different mathematical domains.
Hilbert Space: A Hilbert space is a complete inner product space that is a fundamental concept in functional analysis, combining the properties of normed spaces with the geometry of inner product spaces. It allows for the extension of many concepts from finite-dimensional spaces to infinite dimensions, facilitating the study of sequences and functions in a rigorous way.
Isometric Isomorphism: Isometric isomorphism is a type of mapping between two normed spaces that preserves the structure of the spaces while maintaining distances. This means that if two spaces are isometrically isomorphic, there exists a linear bijective transformation between them that keeps the norms of all elements unchanged, leading to a complete correspondence in terms of geometry and algebra. This concept is crucial for understanding reflexive spaces, as it connects their properties and characterizations.
Krein-Milman Theorem: The Krein-Milman Theorem states that in a convex compact subset of a locally convex topological vector space, every point can be represented as a convex combination of extreme points. This theorem is essential because it connects the geometry of convex sets with functional analysis, particularly in reflexive spaces, where the duality properties play a crucial role in understanding the structure of such spaces.
Linear Operators: Linear operators are functions that map elements from one vector space to another while preserving the operations of vector addition and scalar multiplication. They are fundamental in functional analysis as they help establish connections between different spaces, particularly in reflexive spaces, where the structure and properties of these operators can reveal important information about the spaces involved.
Lp spaces: lp spaces are a family of spaces defined by sequences of real or complex numbers, where the p-norm is finite. These spaces are essential in functional analysis as they generalize the notion of Euclidean spaces to infinite dimensions, and they are pivotal in understanding the properties of reflexive spaces, which include concepts like duality and bounded linear functionals.
Nikolai V. Krylov: Nikolai V. Krylov is a prominent figure in functional analysis, known for his contributions to the study of reflexive spaces and their properties. His work, particularly regarding dual spaces and weak topologies, has had a lasting impact on the understanding of reflexivity in Banach spaces. Krylov's research has paved the way for deeper insights into the geometry of functional spaces and their applications in various mathematical areas.
Reflexivity condition: The reflexivity condition refers to a property of certain spaces in functional analysis where every bounded linear functional on a space can be represented as an inner product with an element of that space. This condition indicates that the dual space can be naturally identified with the original space, establishing a deep connection between the two. Reflexivity plays a significant role in understanding the structure and behavior of Banach spaces and their duals.
Strong convergence: Strong convergence refers to a type of convergence in a normed space where a sequence converges to a limit if the norm of the difference between the sequence elements and the limit approaches zero. This concept is crucial as it connects with various properties of spaces, operators, and convergence types, playing a significant role in understanding the behavior of sequences and their limits in mathematical analysis.
Strong topology: Strong topology is a type of topology on a vector space that is generated by a family of seminorms, making it stronger than the weak topology. This means that a sequence converges in strong topology if it converges in norm, and it plays an important role in understanding dual spaces and reflexive spaces. In reflexive spaces, strong topology helps clarify the relationships between weak and strong convergence, while in dual spaces, it connects closely with weak* topology, highlighting how functionals behave under different convergence notions.
Weak* convergence: Weak* convergence refers to the convergence of a sequence of functionals in the dual space of a Banach space, where a sequence of functionals converges weakly* to a functional if it converges pointwise on every element of the original space. This concept connects closely with the notion of reflexive spaces, as weak* convergence takes center stage in discussions about the properties and characterizations of such spaces.
Weakly sequentially compact: Weakly sequentially compact refers to a property of a topological space where every sequence that converges weakly has a subsequence that converges to the same limit point in the weak topology. This concept is crucial in understanding how weak convergence behaves in normed spaces and is closely linked to reflexive spaces, where such compactness is guaranteed due to their dual space structure.
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