Unbounded operators in Hilbert spaces are crucial in functional analysis. They extend beyond bounded operators, allowing for a wider range of applications in physics and mathematics. Understanding their adjoints is key to grasping their behavior and properties.

Adjoints of unbounded operators help analyze operator properties like symmetry and . These concepts are fundamental in quantum mechanics and differential equations, where unbounded operators often represent physical observables or differential operators.

Adjoints of Unbounded Operators

Definition of unbounded operator adjoint

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  • Considers a unbounded operator A:D(A)HHA: D(A) \subset H \to H on a HH
  • Defines the adjoint AA^* of AA as follows:
    • D(A)D(A^*) consists of all yHy \in H for which there exists zHz \in H satisfying Ax,y=x,z\langle Ax, y \rangle = \langle x, z \rangle for all xD(A)x \in D(A)
    • For each yD(A)y \in D(A^*), AyA^*y is the unique element zHz \in H fulfilling the condition Ax,y=x,z\langle Ax, y \rangle = \langle x, z \rangle for all xD(A)x \in D(A)

Properties of unbounded operator adjoints

  • Proves that if AA is densely defined, then its adjoint AA^* is a closed operator
    • Considers a sequence (yn)D(A)(y_n) \subset D(A^*) converging to yy with AynzA^*y_n \to z
    • Shows that for any xD(A)x \in D(A), x,z=limnx,Ayn=limnAx,yn=Ax,y\langle x, z \rangle = \lim_{n \to \infty} \langle x, A^*y_n \rangle = \lim_{n \to \infty} \langle Ax, y_n \rangle = \langle Ax, y \rangle
    • Concludes that yD(A)y \in D(A^*) and Ay=zA^*y = z, establishing the closedness of AA^*
  • Demonstrates that if AA is densely defined and ABA \subset B, then BAB^* \subset A^*
    • Takes yD(B)y \in D(B^*) and shows that for any xD(A)D(B)x \in D(A) \subset D(B), Ax,y=Bx,y=x,By\langle Ax, y \rangle = \langle Bx, y \rangle = \langle x, B^*y \rangle
    • Deduces that yD(A)y \in D(A^*) and Ay=ByA^*y = B^*y, confirming BAB^* \subset A^*
  • Establishes that if AA is densely defined, then (A)=A(A^*)^* = \overline{A}, the closure of AA
    • Proves A(A)A \subset (A^*)^* by showing that for xD(A)x \in D(A) and yD(A)y \in D(A^*), (A)x,y=x,Ay=Ax,y\langle (A^*)^*x, y \rangle = \langle x, A^*y \rangle = \langle Ax, y \rangle
    • Utilizes the closedness of (A)(A^*)^* as the adjoint of the AA^*
    • Argues that A(A)\overline{A} \subset (A^*)^* since A(A)A \subset (A^*)^* and (A)(A^*)^* is closed, and the reverse inclusion follows from the previous property

Computation of common unbounded adjoints

  • Considers the multiplication operator Mf:D(Mf)L2(Ω)L2(Ω)M_f: D(M_f) \subset L^2(\Omega) \to L^2(\Omega) defined by Mfφ=fφM_f\varphi = f\varphi, where fL(Ω)f \in L^\infty(\Omega) and D(Mf)={φL2(Ω):fφL2(Ω)}D(M_f) = \{\varphi \in L^2(\Omega): f\varphi \in L^2(\Omega)\}
    • Computes the adjoint as Mf=MfM_f^* = M_{\overline{f}} with D(Mf)=D(Mf)D(M_f^*) = D(M_f)
  • Examines the differential operator A:D(A)L2(0,1)L2(0,1)A: D(A) \subset L^2(0,1) \to L^2(0,1) defined by Aφ=iφA\varphi = -i\varphi' with D(A)={φH1(0,1):φ(0)=φ(1)=0}D(A) = \{\varphi \in H^1(0,1): \varphi(0) = \varphi(1) = 0\}
    • Determines the adjoint as A=iddxA^* = i\frac{d}{dx} with D(A)=H1(0,1)D(A^*) = H^1(0,1)

Unbounded operators vs their adjoints

  • Shows that if AA is symmetric (i.e., Ax,y=x,Ay\langle Ax, y \rangle = \langle x, Ay \rangle for all x,yD(A)x, y \in D(A)), then AAA \subset A^*
    • Demonstrates that for any x,yD(A)x, y \in D(A), Ax,y=x,Ay\langle Ax, y \rangle = \langle x, Ay \rangle implies yD(A)y \in D(A^*) and Ay=AyA^*y = Ay
  • Proves that if AA is self-adjoint (i.e., A=AA = A^*), then AA is closed
    • Argues that since A=AA = A^* and AA^* is always closed, AA must be closed
  • Establishes that if AA is positive (i.e., Ax,x0\langle Ax, x \rangle \geq 0 for all xD(A)x \in D(A)), then AA^* is also positive
    • Considers yD(A)y \in D(A^*) and a sequence (xn)D(A)(x_n) \subset D(A) such that xnyx_n \to y and AxnAyAx_n \to A^*y
    • Shows that Ay,y=limnAxn,xn0\langle A^*y, y \rangle = \lim_{n \to \infty} \langle Ax_n, x_n \rangle \geq 0, confirming the positivity of AA^*

Key Terms to Review (19)

Adjoint operator: An adjoint operator is a linear operator that corresponds to another linear operator in a way that preserves the inner product structure of a vector space. Specifically, for a linear operator $A$ acting on a Hilbert space, the adjoint operator $A^*$ satisfies the relation $\langle Ax, y \rangle = \langle x, A^*y \rangle$ for all vectors $x$ and $y$ in the space. This concept is essential for understanding various types of operators, including self-adjoint, unitary, and normal operators, as well as dealing with unbounded operators.
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.
Boundedness: Boundedness refers to the property of a function or operator whereby it does not grow indefinitely, meaning there exists a constant that limits the output relative to the input. This concept is central in analysis, particularly in understanding linear operators and their behavior within normed linear spaces.
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.
Continuity: Continuity refers to the property of a function where small changes in the input result in small changes in the output. This concept is vital in analysis as it ensures that the behavior of functions is predictable and stable, particularly when dealing with linear operators and spaces. Understanding continuity is crucial in various contexts, such as operator norms, the behavior of adjoints, and applications within spectral theory and functional analysis.
Densely defined: A densely defined operator is one whose domain is dense in the Hilbert space it acts upon, meaning that the closure of its domain equals the entire space. This property is crucial when dealing with unbounded operators, as it often leads to the existence of adjoint operators. Understanding whether an operator is densely defined helps in determining its properties, such as whether it can be extended and how it interacts with other operators.
Densely defined operator: A densely defined operator is a linear operator whose domain is a dense subset of a Hilbert or Banach space. This means that for every point in the space, there is a sequence of points from the domain that converges to it. Densely defined operators are particularly important when discussing adjoints of unbounded operators, as they allow for the extension of certain properties and the consideration of how these operators behave in a larger context.
Domain: In functional analysis, the domain of an operator refers to the set of elements for which the operator is defined and can produce a valid output. This concept is crucial when dealing with unbounded operators, as these operators often have restrictions on their domains, which can affect their adjoint properties and other functional characteristics.
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.
Essential Spectrum: The essential spectrum of an operator consists of those values in the spectrum that are not isolated eigenvalues with finite multiplicity. It gives insight into the behavior of an operator, particularly in terms of compactness and its relation to the perturbation of operators. Understanding the essential spectrum helps to analyze stability and the nature of solutions in various mathematical contexts.
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.
Inner product: An inner product is a mathematical operation that takes two vectors in an inner product space and produces a scalar, capturing notions of length and angle. It provides the framework for defining orthogonality, length, and projections in these spaces, making it essential for various concepts in analysis and geometry.
Lax-Milgram Theorem: The Lax-Milgram Theorem provides a powerful framework for establishing the existence and uniqueness of solutions to certain types of linear operator equations, particularly those involving unbounded operators in Hilbert spaces. It essentially states that if a bilinear form is continuous and coercive, then there exists a unique solution to the associated linear problem. This theorem is crucial for understanding how weak formulations arise, especially in the context of differential equations and Sobolev spaces.
Momentum operator: The momentum operator is a fundamental concept in quantum mechanics represented by the operator \\(-i\hbar \frac{d}{dx}\\), where \\$\hbar\\$ is the reduced Planck's constant. This operator acts on wave functions to extract information about the momentum of a quantum system and is crucial in the formulation of physical laws in quantum theory, especially when considering self-adjoint, unitary, and normal operators.
Position Operator: The position operator is a fundamental concept in quantum mechanics that represents the observable quantity of position in a given quantum state. It acts on the wave functions of particles, allowing us to describe the spatial distribution of a particle's position. This operator connects deeply with the properties of self-adjoint, unitary, and normal operators, revealing insights into measurement, spectral theory, and the treatment of unbounded operators.
Range of an operator: The range of an operator is the set of all possible outputs that can be obtained when applying the operator to elements from its domain. It provides insight into the behavior of the operator, including whether it is surjective (onto) and how it transforms elements within its space. Understanding the range is essential, especially when dealing with adjoint operators, as it helps to determine relationships between various function spaces.
Riesz Representation Theorem: The Riesz Representation Theorem states that every continuous linear functional on a Hilbert space can be represented as an inner product with a fixed element from that space. This theorem connects linear functionals to geometry and analysis, showing how functional behavior can be understood in terms of vectors and inner products.
Self-adjointness: Self-adjointness refers to a property of an operator that indicates it is equal to its own adjoint. This concept is crucial because self-adjoint operators have real spectra and exhibit nice properties that are important for various mathematical applications, particularly in quantum mechanics and differential equations. Understanding self-adjointness allows one to analyze the behavior of unbounded operators and their spectral properties effectively.
Symmetric operator: A symmetric operator is a linear operator on a Hilbert space that satisfies the property \(\langle Ax, y \rangle = \langle x, Ay \rangle\) for all vectors \(x\) and \(y\) in its domain. This property ensures that the operator's action is 'balanced' and leads to important implications regarding its spectrum and adjoint, particularly when dealing with unbounded operators.
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