are a crucial concept in functional analysis, mapping subsets of Banach spaces. Unlike bounded operators, their domains aren't the entire space. Examples include differentiation and multiplication operators on specific function spaces.

are characterized by the . They're essential in studying partial differential equations and quantum mechanics. , a related concept, have graphs that can be extended to closed operators.

Closed and Closable Operators

Definition of unbounded operators

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  • An unbounded operator TT maps a subset D(T)D(T) of a XX to another YY
  • The domain D(T)D(T) is a linear subspace of XX but not necessarily the entire space (unlike bounded operators)
  • The graph of TT is the set of ordered pairs (x,Tx)(x, Tx) where xD(T)x \in D(T) (G(T)={(x,Tx):xD(T)}G(T) = \{(x, Tx) : x \in D(T)\})
  • Examples of unbounded operators include on C1([a,b])C^1([a,b]) and on L2(R)L^2(\mathbb{R})

Characterization of closed operators

  • Closed Graph Theorem states an unbounded operator T:D(T)XYT: D(T) \subset X \to Y between Banach spaces is closed iff for any sequence (xn)D(T)(x_n) \subset D(T) with xnxx_n \to x and TxnyTx_n \to y, we have xD(T)x \in D(T) and Tx=yTx = y
  • Proof:
    1. (\Rightarrow) Assume TT is closed. Let (xn)D(T)(x_n) \subset D(T) with xnxx_n \to x and TxnyTx_n \to y. Since G(T)G(T) is closed and (xn,Txn)G(T)(x_n, Tx_n) \in G(T) for all nn, (x,y)G(T)(x, y) \in G(T), so xD(T)x \in D(T) and Tx=yTx = y
    2. (\Leftarrow) Assume the condition holds. Let (xn,Txn)(x_n, Tx_n) be a sequence in G(T)G(T) converging to (x,y)(x, y). Then xnxx_n \to x and TxnyTx_n \to y. By the condition, xD(T)x \in D(T) and Tx=yTx = y, so (x,y)G(T)(x, y) \in G(T). Thus, G(T)G(T) is closed, and TT is closed
  • Examples of closed operators include the on H2(Rn)H^2(\mathbb{R}^n) and the multiplication operator on L2(R)L^2(\mathbb{R}) with a

Identification of closed vs closable operators

  • To check if an unbounded operator TT is closed, consider a sequence (xn)D(T)(x_n) \subset D(T) with xnxx_n \to x and TxnyTx_n \to y. If xD(T)x \in D(T) and Tx=yTx = y for all such sequences, then TT is closed
  • To check if TT is closable, consider the closure of its graph G(T)\overline{G(T)}. If G(T)\overline{G(T)} is the , then TT is closable, and the associated operator is the closure of TT
  • Equivalently, TT is closable iff for any sequence (xn)D(T)(x_n) \subset D(T) with xn0x_n \to 0 and TxnyTx_n \to y, we have y=0y = 0
  • Examples of closable operators include the differentiation operator on C([a,b])C([a,b]) and the multiplication operator on L2(R)L^2(\mathbb{R}) with an unbounded measurable function

Construction of operator closures

  • The closure of a T:D(T)XYT: D(T) \subset X \to Y, denoted T\overline{T}, is defined by:
    • D(T)={xX:(xn)D(T) such that xnx and Txn converges in Y}D(\overline{T}) = \{x \in X : \exists (x_n) \subset D(T) \text{ such that } x_n \to x \text{ and } Tx_n \text{ converges in } Y\}
    • For xD(T)x \in D(\overline{T}), Tx=limnTxn\overline{T}x = \lim_{n \to \infty} Tx_n, where (xn)(x_n) is a sequence as in the definition of D(T)D(\overline{T})
  • Properties of the closure:
    • T\overline{T} is a closed extension of TT
    • T\overline{T} is the smallest closed extension of TT, i.e., if SS is any other closed extension of TT, then TS\overline{T} \subset S
    • The graph of T\overline{T} is the closure of the graph of TT, i.e., G(T)=G(T)G(\overline{T}) = \overline{G(T)}
  • Examples of closures include the closure of the differentiation operator on C([a,b])C([a,b]) is the on W1,p([a,b])W^{1,p}([a,b]) for 1p<1 \leq p < \infty

Key Terms to Review (19)

Baire: In functional analysis, a Baire space is a topological space where the intersection of countably many dense open sets is dense. This concept is essential in understanding the properties of closed and closable operators, particularly in the context of completeness and convergence in infinite-dimensional 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.
Bounded measurable function: A bounded measurable function is a function that assigns a real number to each element in a measurable space, and its values are constrained within a fixed range, meaning they do not exceed a certain maximum or minimum. This concept is crucial when discussing the properties of functions in the context of measure theory, particularly regarding integrability and convergence within functional analysis.
Closable Operator: A closable operator is a linear operator between two Banach spaces that has a closed extension to a larger space, meaning it can be extended while preserving certain properties. This property is crucial as it allows for the analysis of operators in terms of their closedness and the continuity of their extensions, leading to important implications in functional analysis, particularly in the study of bounded linear operators.
Closable Operators: Closable operators are densely defined linear operators on a Banach space that can be extended to a closed operator. This means that if the operator's graph is not closed, it can still be made closed by appropriately defining its extension, which often involves finding a limit for sequences in the graph. Understanding closable operators is essential in functional analysis as they help in the study of operator theory, particularly in relation to closed and densely defined operators.
Closed Graph Theorem: The Closed Graph Theorem states that if a linear operator between Banach spaces has a closed graph, then the operator is continuous. This theorem connects the concepts of linearity, continuity, and the behavior of operators in functional analysis, showcasing its importance in various areas such as dual spaces and bounded operators.
Closed Operators: Closed operators are linear operators defined on a dense subset of a Hilbert space that have a closed graph, meaning that if a sequence of points converges in the domain and their images under the operator converge, then the limit point of the sequence is in the range of the operator. This property is crucial in functional analysis, particularly in establishing the continuity of operators and their extensions.
Closure of an operator: The closure of an operator is the smallest closed extension of that operator, encompassing all limit points of sequences generated by the operator's action on a dense subset. This concept connects deeply with closed and closable operators, as well as the behavior of unbounded operators and their adjoints. Understanding the closure helps in analyzing the properties and domains of these operators, shedding light on their continuity and boundedness within a functional analysis framework.
Dense domain: A dense domain is a subset of a Hilbert or Banach space where every point in the space can be approximated as closely as desired by points from that subset. This concept plays a crucial role when discussing closed and closable operators, as it allows for the extension of these operators from a dense domain to the whole space, ensuring the existence of limits and continuity properties.
Differentiation operator: The differentiation operator is a linear operator that acts on a function by computing its derivative. This operator is essential in functional analysis as it maps functions to their rate of change, which is fundamental in understanding the behavior of functions and their properties. In the context of closed and closable operators, the differentiation operator plays a significant role since it can be examined for its continuity and whether it can be extended or defined more broadly within a certain space.
Domain of an operator: The domain of an operator refers to the set of all inputs for which the operator is defined and produces valid outputs. This concept is crucial because it determines the range of functions or elements that can be utilized within the operator's framework. Understanding the domain helps in analyzing properties such as continuity, boundedness, and the ability to extend operators, especially when dealing with closed and closable operators or examining adjoints of unbounded operators.
Extension of an Operator: An extension of an operator is a new operator that acts on a larger domain while agreeing with the original operator on its initial domain. This concept is crucial because it allows us to expand the reach of operators, making them applicable in broader contexts, which is especially important when dealing with closed and closable operators. Understanding extensions helps in analyzing the continuity and boundedness properties of operators within functional analysis.
Graph of an Operator: The graph of an operator is the set of pairs that represents how the operator acts on elements of a space, specifically expressed as a subset of the Cartesian product of two spaces. This concept is essential for understanding the properties of linear operators, particularly in the context of closed graphs and the relationships between different types of operators, such as closed and closable operators.
Laplace Operator: The Laplace operator, often denoted as $$ abla^2$$ or $$ ext{Δ}$$, is a second-order differential operator that computes the divergence of the gradient of a function. It plays a crucial role in various fields of mathematics and physics, particularly in solving partial differential equations, where it describes phenomena such as heat conduction and wave propagation. Understanding its applications and properties is vital for working with both bounded and unbounded operators in functional analysis.
Multiplication operator: The multiplication operator is an operator defined on a Hilbert space that multiplies a function by a fixed function, essentially scaling the values of the original function. This operator is important because it can be unbounded, meaning it does not have a finite bound across its domain, and it can also be either closed or closable depending on certain properties of the functions involved. Understanding this operator helps in analyzing how different functions interact under multiplication and their implications in functional analysis.
Self-adjoint operators: Self-adjoint operators are linear operators on a Hilbert space that are equal to their own adjoint, meaning they satisfy the property \( A = A^* \). This property is crucial because it ensures real eigenvalues and orthogonal eigenvectors, which have significant implications in quantum mechanics and various applications of differential and integral operators. Moreover, the notion of self-adjointness connects deeply with concepts such as closed and closable operators, as self-adjoint operators are inherently closed.
Unbounded Operators: Unbounded operators are linear operators defined on a dense subset of a Hilbert space that do not necessarily have a bounded norm. Unlike bounded operators, which have a finite operator norm, unbounded operators can potentially map elements to infinitely large outputs, making them significant in quantum mechanics and other areas of functional analysis. Understanding unbounded operators is crucial for studying closed and closable operators, as their properties directly affect the behavior and existence of solutions to related equations.
Weak Derivative Operator: The weak derivative operator is a concept in functional analysis that extends the notion of derivatives to functions that may not be differentiable in the classical sense. It allows for the definition of derivatives in a distributional framework, accommodating functions that are only integrable or possess weak regularity properties. This operator plays a crucial role in the theory of Sobolev spaces, where it facilitates the study of solutions to differential equations and variational problems.
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