10.1 Bidual spaces and natural embeddings

3 min readjuly 22, 2024

Bidual spaces take us on a journey through layers of linear functionals. We start with a , create its dual of continuous linear functionals, then form the bidual of functionals on functionals. This process reveals deep connections between spaces.

is a key concept in this exploration. A space is reflexive if it's isomorphic to its bidual, meaning they're essentially the same. Non-, however, have biduals that are strictly larger, showcasing the complexity of functional analysis.

Bidual Spaces

Construction of bidual spaces

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  • Start with a normed linear space XX (Banach spaces, Hilbert spaces)
  • Form the XX^* consisting of all continuous linear functionals on XX
    • Continuous linear functionals map elements of XX to scalars while preserving linearity and continuity
  • Construct the XX^{**} as the dual space of XX^*
    • Elements of XX^{**} are continuous linear functionals on XX^*, assigning scalars to functionals
  • XX^{**} is called the "dual of the dual" or "functionals on functionals"
    • Functionals in XX^{**} take functionals from XX^* as input and output scalar values

Natural embedding and bidual relations

  • Define the J:XXJ: X \to X^{**} as J(x)(f)=f(x)J(x)(f) = f(x) for xXx \in X and fXf \in X^*
    • JJ maps elements of XX to elements of XX^{**}
  • JJ is a linear map preserving the norm: J(x)=x\|J(x)\| = \|x\| for all xXx \in X
  • JJ is always injective (one-to-one), embedding XX into XX^{**}
    • Allows viewing XX as a subspace of its bidual XX^{**}
  • Injectivity of JJ means distinct elements of XX map to distinct elements of XX^{**}
    • Ensures no information is lost when mapping from XX to XX^{**}

Reflexive Spaces

Isomorphisms in reflexive spaces

  • A space XX is reflexive if the natural embedding J:XXJ: X \to X^{**} is surjective (onto)
    • Every element of XX^{**} is the image of some element in XX under JJ
  • In reflexive spaces, JJ is an isometric isomorphism between XX and XX^{**}
    • JJ is bijective (one-to-one and onto) and preserves the norm
  • Proof of isometric isomorphism in reflexive spaces:
    1. JJ is surjective by the definition of reflexivity
    2. JJ is injective and norm-preserving for any space
    3. Combining surjectivity, injectivity, and norm-preservation, JJ is an isometric isomorphism
  • Reflexive spaces can be identified with their biduals via the isometric isomorphism JJ
    • XX and XX^{**} are essentially the same space in the reflexive case

Non-reflexive spaces vs biduals

  • Examples of non-reflexive spaces:
    1. c0c_0: space of sequences converging to zero
      • Its bidual is \ell^{\infty}, the space of bounded sequences
    2. L1(R)L^1(\mathbb{R}): space of absolutely integrable functions on the real line
      • Its bidual is L(R)L^{\infty}(\mathbb{R}), the space of essentially bounded functions
  • In non-reflexive spaces, the bidual is strictly larger than the original space
    • Natural embedding JJ is injective but not surjective
  • Non-reflexive spaces have elements in the bidual that do not correspond to any element in the original space
    • Demonstrates that not all spaces are isomorphic to their biduals
  • Non-reflexivity highlights the distinction between a space and its bidual
    • Bidual may contain additional elements not present in the original space

Key Terms to Review (29)

Alaoglu's Theorem: Alaoglu's Theorem states that the closed unit ball in the dual space of a normed space is compact in the weak* topology. This theorem is significant because it establishes a key property of dual spaces and their biduals, highlighting the importance of weak* convergence and the behavior of linear functionals on normed spaces.
Baer's Criterion: Baer's Criterion is a key theorem in functional analysis that provides a necessary and sufficient condition for a Banach space to be reflexive. Specifically, it states that a Banach space is reflexive if and only if every bounded linear functional on the space attains its supremum on the closed unit ball. This connects to bidual spaces and natural embeddings, as reflexivity implies that the natural embedding of the space into its bidual is surjective.
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-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.
Bidual Space: A bidual space is the dual of the dual space of a vector space, often denoted as $X^{**}$. It consists of all continuous linear functionals defined on the dual space $X^*$ and plays a crucial role in understanding the properties of the original space $X$. Bidual spaces are essential for exploring concepts like reflexivity, where a space is isomorphic to its bidual, indicating a deep connection between these structures.
Bidual space: A bidual space is the dual of the dual space of a vector space, denoted as $X^{**}$ for a vector space $X$. It consists of all continuous linear functionals defined on the dual space $X^*$, allowing a deeper understanding of the properties of the original space $X$. Bidual spaces provide insights into reflexivity, natural embeddings, and weak* topologies, revealing how these structures interact within functional analysis.
Bounded linear operator: A bounded linear operator is a linear transformation between normed spaces that is continuous and has a bounded operator norm, meaning there exists a constant such that the norm of the output is always less than or equal to that constant times the norm of the input. This concept is foundational in functional analysis as it relates to the structure and behavior of linear mappings in various mathematical contexts.
Canonical embedding: Canonical embedding refers to the natural and often straightforward way of mapping a normed space into its dual space, allowing for a clear relationship between the elements of the space and their corresponding linear functionals. This concept is crucial in understanding how elements of a space can be represented in a dual framework, leading to insights into the structure and properties of both the space and its dual. Additionally, canonical embedding plays a significant role when discussing bidual spaces, illustrating how one can relate a space to its bidual through natural mappings.
Dual of c[0,1]: The dual of c[0,1] refers to the continuous linear functionals defined on the space of all continuous functions on the interval [0,1] that vanish at infinity. This concept is crucial in understanding how we can analyze and represent linear functionals acting on this space. The dual space provides a framework for understanding various properties of functionals and how they relate to the original space, including exploring continuity and boundedness.
Dual of l^p spaces: The dual of l^p spaces, denoted as (l^p)*, is the space of all continuous linear functionals defined on l^p spaces, where 1 < p < ∞. This dual space provides a way to analyze the properties of l^p spaces through linear functionals, connecting the concepts of functional analysis and providing insights into the structure of these spaces, particularly in relation to boundedness and convergence.
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.
Evaluation map: The evaluation map is a fundamental concept in functional analysis that assigns to each element of a topological vector space its corresponding evaluation at a point in the dual space. This mapping illustrates the relationship between a space and its dual, highlighting how functionals can be evaluated on specific vectors. It serves as a bridge between spaces and their biduals, revealing how evaluation connects these structures in a meaningful way.
Fréchet: Fréchet refers to a type of topology used in functional analysis, particularly associated with the concept of convergence in spaces that may be infinite-dimensional. This topology generalizes notions of distance and convergence, making it essential for understanding the behavior of sequences and functionals in various spaces, such as dual spaces and compact operators.
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 embedding: Isometric embedding refers to the process of mapping one metric space into another such that the distances between points are preserved. This concept is crucial for understanding how different spaces can relate to one another while maintaining their geometric structure, which is especially significant when considering dual spaces and the natural embeddings that arise within functional analysis.
Isomorphism of Duals: Isomorphism of duals refers to the relationship between a normed space and its dual, where the dual space's dual (the bidual) is isomorphic to the original space under certain conditions. This concept highlights how every continuous linear functional on the original space corresponds to a unique element in the bidual, thus establishing a natural embedding that preserves structure and properties. Understanding this relationship allows for deeper insights into the properties of functional spaces and their interconnections.
Natural embedding: Natural embedding refers to a specific kind of map from a normed space into its bidual, which preserves the structure of the original space. This embedding highlights the relationship between a space and its bidual, showing how each element in the original space can be identified with a functional in the bidual, thus establishing a bridge between the two spaces.
Normed Space: A normed space is a vector space equipped with a function called a norm that assigns a non-negative length or size to each vector in the space. This norm allows for the measurement of distance and the exploration of convergence, continuity, and other properties within the space, facilitating the analysis of linear functionals, dual spaces, and other important concepts in functional analysis.
Reflexive Spaces: Reflexive spaces are Banach spaces that are isomorphic to their biduals, meaning they have a natural embedding into their double dual. This property ensures that every continuous linear functional on the space can be represented by an element of the space itself. Reflexive spaces are essential in functional analysis as they often simplify the understanding of duality and provide useful geometric insights.
Reflexivity: Reflexivity refers to a property of a linear functional where it corresponds to an element in a dual space such that a specific natural embedding exists between the original space and its dual, leading to the conclusion that the original space is isomorphic to its bidual. This concept is pivotal in understanding the relationship between spaces and their duals, as well as the nature of continuity and convergence in weak* topology.
Reflexivity Condition: The reflexivity condition is a property that pertains to dual spaces in functional analysis, stating that a Banach space is reflexive if the natural embedding of the space into its bidual is surjective. This means that every continuous linear functional on the dual space can be realized as an evaluation at some point in the original space, highlighting a deep connection between a space and its bidual.
Riesz: Riesz refers to a significant concept in functional analysis, particularly in the context of dual spaces and natural embeddings. It is closely associated with the Riesz Representation Theorem, which establishes a powerful link between linear functionals and measures on certain spaces. This theorem provides an essential foundation for understanding how elements of a space can be represented through their duals, thereby illuminating properties of continuity and boundedness in functional analysis.
Separability: Separability is a property of a topological space that indicates whether it contains a countable dense subset. In functional analysis, separability is crucial as it helps in understanding the structure of spaces, especially in relation to dual spaces and their weak* topologies. This concept reveals important features about the size and behavior of functionals within these spaces, highlighting connections between the original space and its dual or bidual counterparts.
Strong Convergence: Strong convergence refers to a type of convergence in a normed space where a sequence of elements converges to a limit in the sense that the norm of the difference between the sequence and the limit approaches zero. This concept is crucial when dealing with bounded linear operators, as it ensures stability and continuity in various mathematical settings, including Banach spaces and Hilbert spaces.
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.
Weak Convergence: Weak convergence refers to a type of convergence in a topological vector space where a sequence converges to a limit if it converges with respect to every continuous linear functional. This concept is crucial for understanding the behavior of sequences in various mathematical structures, particularly in the context of functional analysis and applications in areas like differential equations and optimization.
Weak* topology: The weak* topology is a specific type of topology defined on the dual space of a normed space, which allows for the convergence of functionals based on pointwise evaluation rather than norm-based convergence. This topology is crucial for understanding the behavior of linear functionals and their relationships to the original space, particularly when dealing with dual spaces, biduals, and weak convergence.
Weak*-topology: Weak*-topology is a type of topology defined on the dual space of a Banach space, where the open sets are determined by pointwise convergence on the original space. This topology plays a crucial role in understanding bidual spaces and natural embeddings, as it helps in analyzing how continuous linear functionals behave on these spaces.
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