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Dual Spaces Adjoint Operators and Annihilators — Examples
1 · Prerequisites
- Absolute and Conditional Convergence; Rearrangement; Products
- Binary Operations, Monoids, Groups and Subgroups
- Bounded Linear Operators and Quotient Spaces
- Compactness
- Compactness in Metric Spaces
- Completeness, Completion, and Uniform Continuity
- Construction of the Natural Numbers
- Construction of the Real Numbers via Cauchy Sequences
- Construction of the Real Numbers via Dedekind Cuts
- Continuity, IVT, EVT, and Uniform Continuity
- Cosets, Index and Lagrange's Theorem
- Countability and Uncountability
- Divisibility, Euclidean Domains, Principal Ideal Domains and Unique Factorisation
- Dual Spaces Adjoint Operators and Annihilators
- Dual Spaces, Bilinear and Quadratic Forms, and Sylvester's Law of Inertia
- Filters and Ultrafilters
- Finite Counting, Factorials and Binomial Coefficients
- Finite Dimensional Normed Spaces and Riesz Lemma
- Foundations of the Real Numbers for Analysis
- Geometric Hahn Banach and Convex Separation
- Hausdorff via the Diagonal
- Ideals, Quotient Rings and the Isomorphism Theorems for Rings
- Limits of Real Functions
- limsup, liminf, and Subsequential Limits
- Linear Independence, Bases and Dimension
- Linear Transformations, Rank-Nullity and Quotient Spaces
- Matrices, the Matrix of a Linear Map, and Change of Basis
- Measurable Functions and Simple Approximation
- Measures and Their Basic Properties
- Metric Spaces
- Monotone Functions, Discontinuities, and Continuity Sets
- Monotone Sequences, Bolzano-Weierstrass, and Cauchy Completeness
- Normal Subgroups and Quotient Groups
- Normed and Banach Spaces
- Order, Zorn's Lemma, and the Axiom of Choice
- Outer Measure and the Caratheodory Extension Theorem
- Partitions of Unity and Paracompactness
- Polynomial Rings, the Division Algorithm and Roots
- Power Series and Real-Analytic Functions
- Properties of the Integral and the Working FTC
- Radon Measures and the Riesz Markov Kakutani Theorem
- Relations, Functions, and Quotients
- Rings, Subrings, Integral Domains and Fields
- Rⁿ as a Normed Space; Vector-Valued Functions
- Roots, Rational Powers, and Classical Inequalities
- Separation Axioms: the Hierarchy
- Sequences and Limits
- Sequences and Series of Functions; Uniform Convergence
- Series: Convergence and the Nonnegative Tests
- Sigma Algebras and Borel Sets
- Signed and Complex Measures Hahn and Jordan
- Simple Field Extensions and the Construction of the Complex Numbers
- Subspaces, Products, and Quotients
- Suprema and Infima
- The Analytic Hahn Banach Theorem
- The Cantor Set, Baire Category, and Measure Zero in ℝ
- The Derivative and the Mean Value Theorems
- The Duality of Lᵖ and L^q
- The Exponential Function
- The Lebesgue Integral and the Convergence Theorems
- The Logarithm and General Powers
- The Lᵖ Spaces Holder Minkowski and Riesz Fischer
- The Radon Nikodym Theorem and Lebesgue Decomposition
- The Riemann Integral: Definition and Integrability
- The ZFC Axioms and the Basic Set Constructions
- Topological Spaces and Continuity
- Topology of ℝ
- Triangularisation, Generalised Eigenspaces and Jordan Canonical Form
- Urysohn's Lemma and the Tietze Extension Theorem
- Vector Spaces, Linear Subspaces, Span and Direct Sums
2 · Summary
Coordinate functionals, shifts, point masses, and finite-dimensional matrices make the transpose explicit. The counterexamples separate dense range from surjectivity and show why the general annihilator formula uses weak-star closure. Complex Banach transposes use a bilinear pairing without conjugation.
3 · Logical flowchart
4 · Definitions, theorems and proofs
Two different Riesz representation theorems
Remark
For a locally compact Hausdorff space , The bounded complex dual of C_0(X) is regular complex measures identifies the complex continuous dual of with finite regular complex Borel measures, with functional norm equal to total variation. This is the Riesz–Markov–Kakutani representation. The Hilbert-space Riesz theorem is a different representation by inner-product vectors and belongs to the later Hilbert-space development. The evaluation pairing from The dual space X^* of a normed space and its dual norm is not itself an inner-product identification. No Hilbert representation theorem is used here.
5 · Examples, counterexamples and false statements
Coordinate functionals on sequence spaces
Example
Let or . For every , the coordinate functional has norm one on both and . Under their sequence-dual identifications it is represented by .
Facts & Assumptions
Given: The spaces, maps, scalar field, and hypotheses in the statement above. All duals consist of linear functionals over the ambient field; evaluation has no conjugation.
From The continuous dual of c0 is ell-one, with its stated hypotheses: Let or . With coordinates starting at zero, the map is a linear isometric bijection. The pairing is bilinear, including over .
From The complex continuous dual of ell-one is ell-infinity, with its stated hypotheses: For complex sequence spaces, with indices starting at zero, is a complex-linear isometric bijection. There is no conjugation in this pairing.
From Counting measure specializes the representation theorem to and , with its stated hypotheses: Let and let be conjugate to . Every bounded linear functional is of the form for a unique sequence . Moreover,
Verification
The pairing for assigns to the functional . The complex dual formula does the same for , and the real counting-measure theorem at gives the real counterpart.
On , ; on , . Thus each norm is at most one. In both spaces and , proving equality. This works at index zero as well as every later index; the zero input gives zero.
Transposes of the right and left shifts
Example
Let or . On or , define Under the dual pairing, the transposes on (for domain ) and on (for domain ) satisfy and .
Facts & Assumptions
Given: The spaces, maps, scalar field, and hypotheses in the statement above. All duals consist of linear functionals over the ambient field; evaluation has no conjugation.
From The transpose of a bounded operator, with its stated hypotheses: Let or . Let be bounded and linear between normed spaces. Its transpose, or Banach adjoint, is The duals are def-dual-space-of-a-normed-space. Composition is bounded by lem-composition-operator-norm-inequality, so this has the displayed codomain. It is linear in over . No complex conjugation is inserted; a Hilbert adjoint uses a separate inner-product identification.
From The continuous dual of c0 is ell-one, with its stated hypotheses: Let or . With coordinates starting at zero, the map is a linear isometric bijection. The pairing is bilinear, including over .
From The complex continuous dual of ell-one is ell-infinity, with its stated hypotheses: For complex sequence spaces, with indices starting at zero, is a complex-linear isometric bijection. There is no conjugation in this pairing.
From Counting measure specializes the representation theorem to and , with its stated hypotheses: Let and let be conjugate to . Every bounded linear functional is of the form for a unique sequence . Moreover,
Verification
Both shifts preserve null sequences; inserting or deleting a coordinate also preserves absolute summability and boundedness. Each is linear, preserves the relevant norm, and is contractive. This verifies that all displayed operators have the stated spaces as domain and codomain, including on zero inputs.
For and , the absolutely convergent pairings give and . These are the pairings of and with , respectively. Hence and on .
For and bounded , the same two series are absolutely convergent, since their absolute sums are at most . The complex dual identification, or the real counting-measure identification at , therefore gives the same transpose formulas on . The inserted zeroth coordinate is essential in the formula for .
Evaluation functionals and point masses
Example
Let be a nonempty compact Hausdorff space and . On with supremum norm, has norm one and is represented by the regular point mass at . If is a homeomorphism and , then .
Facts & Assumptions
Given: The spaces, maps, scalar field, and hypotheses in the statement above. All duals consist of linear functionals over the ambient field; evaluation has no conjugation.
From The transpose of a bounded operator, with its stated hypotheses: Let or . Let be bounded and linear between normed spaces. Its transpose, or Banach adjoint, is The duals are def-dual-space-of-a-normed-space. Composition is bounded by lem-composition-operator-norm-inequality, so this has the displayed codomain. It is linear in over . No complex conjugation is inserted; a Hilbert adjoint uses a separate inner-product identification.
From The bounded complex dual of C_0(X) is regular complex measures, with its stated hypotheses: For an LCH space , every bounded complex linear functional on has a unique representation by a finite regular complex Borel measure . Conversely each such defines a bounded functional and .
Verification
Evaluation is complex-linear and . The continuous constant function has norm one since , and , so .
Define the Borel measure when and otherwise. In a disjoint countable union at most one member contains , proving countable additivity. Its mass is one. For inner regularity, a set containing contains the compact singleton , and a set not containing has measure zero. For outer regularity, a set missing lies in the open set of measure zero; for a set containing , every open superset has measure one.
Integration of a simple Borel function against equals its value at . Uniform simple approximation of a bounded complex Borel function extends this identity, since the integral error is bounded by the uniform error times . In particular for . Compact Hausdorff is LCH and , so RMK uniqueness identifies this regular point mass as the representing measure.
Composition with a homeomorphism preserves continuity and the supremum norm. For every , , which proves the transpose identity.
The annihilator of a coordinate subspace
Example
Let or . For , put It is closed, and under its annihilator is The preannihilator is .
Facts & Assumptions
Given: The spaces, maps, scalar field, and hypotheses in the statement above. All duals consist of linear functionals over the ambient field; evaluation has no conjugation.
From Annihilator notation and the preannihilator, with its stated hypotheses: Let or . For a normed and arbitrary subsets , , define Here is def-dual-space-of-a-normed-space. The first notation agrees with def-continuous-annihilator-of-a-subspace on , since linearity makes vanishing on equivalent to vanishing on its span. The preannihilator lies in , not in . Empty sets impose no conditions: and .
From The continuous dual of c0 is ell-one, with its stated hypotheses: Let or . With coordinates starting at zero, the map is a linear isometric bijection. The pairing is bilinear, including over .
Verification
Each coordinate map on is continuous since . Thus is the intersection of the closed coordinate kernels for , hence is closed and linear. If annihilates , testing for gives .
Conversely if on and , every product is zero, so the absolutely convergent pairing vanishes. This proves .
If annihilates , testing for gives , hence . The converse follows again because every coordinate product vanishes. For , ; for it is , with the same test arguments.
Finite-dimensional duals and matrix transposes
Example
Let or . Let be finite-dimensional normed spaces with fixed ordered bases. Their continuous duals equal their algebraic duals. If has matrix in these bases, then has matrix in the dual bases, even over .
Facts & Assumptions
Given: The spaces, maps, scalar field, and hypotheses in the statement above. All duals consist of linear functionals over the ambient field; evaluation has no conjugation.
From The transpose of a bounded operator, with its stated hypotheses: Let or . Let be bounded and linear between normed spaces. Its transpose, or Banach adjoint, is The duals are def-dual-space-of-a-normed-space. Composition is bounded by lem-composition-operator-norm-inequality, so this has the displayed codomain. It is linear in over . No complex conjugation is inserted; a Hilbert adjoint uses a separate inner-product identification.
From The dual family of a finite basis is a basis of the dual space, with the same dimension, with its stated hypotheses: If is a basis of a finite-dimensional -vector space , then its dual family is a basis of . Consequently .
From A linear map from a finite-dimensional normed space is bounded, with its stated hypotheses: Let and be normed spaces over the same scalar field, and assume admits an ordered basis of finite length. Then every linear map is a bounded linear operator in the sense of def-bounded-linear-operator.
Verification
Every algebraic linear functional on or is bounded, since its domain has a fixed finite basis and its scalar codomain is normed. Conversely a continuous-dual functional is algebraically linear by definition. The dual families are bases of these duals.
Writing and gives . Thus the dual-coordinate column is . The computation is bilinear, without conjugation.
If either dimension is zero, the corresponding sums are empty and define the unique zero map with its appropriate rectangular matrix. In dimension one the transpose leaves the scalar entry unchanged, including a nonreal scalar.
The dual construction reverses arrows
Statement refuted
Let or . The proposed composition rule “a bounded induces by composition” has the wrong direction. For the inclusion , , composition instead gives restriction .
Facts & Assumptions
Given: The spaces, maps, scalar field, and hypotheses in the statement above. All duals consist of linear functionals over the ambient field; evaluation has no conjugation.
From The transpose of a bounded operator, with its stated hypotheses: Let or . Let be bounded and linear between normed spaces. Its transpose, or Banach adjoint, is The duals are def-dual-space-of-a-normed-space. Composition is bounded by lem-composition-operator-norm-inequality, so this has the displayed codomain. It is linear in over . No complex conjugation is inserted; a Hilbert adjoint uses a separate inner-product identification.
From Transposition reverses composition, with its stated hypotheses: Let or . For bounded linear , between normed spaces, For bounded and , .
Counterexample
Use the usual scalar norm and the maximum norm on , so is bounded. The functional is bounded by . Composition gives .
A functional cannot be composed as to produce a functional on : the output of has the wrong type for the input of , and the composite would in any event have domain . The valid composition reverses arrows, as also expressed by . Setting in step 1.1 even gives a nonzero functional whose restriction is zero. This refutes the proposed composition rule, without claiming every conceivable covariant assignment is impossible.
The canonical bidual map of c0 misses the constant sequence
Statement refuted
Let or . A canonical bidual embedding need not be onto. Under the sequence-dual identifications, is the inclusion , and the constant sequence is outside its image.
Facts & Assumptions
Given: The spaces, maps, scalar field, and hypotheses in the statement above. All duals consist of linear functionals over the ambient field; evaluation has no conjugation.
From The continuous dual of c0 is ell-one, with its stated hypotheses: Let or . With coordinates starting at zero, the map is a linear isometric bijection. The pairing is bilinear, including over .
From The complex continuous dual of ell-one is ell-infinity, with its stated hypotheses: For complex sequence spaces, with indices starting at zero, is a complex-linear isometric bijection. There is no conjugation in this pairing.
From Counting measure specializes the representation theorem to and , with its stated hypotheses: Let and let be conjugate to . Every bounded linear functional is of the form for a unique sequence . Moreover,
From The canonical evaluation map into the bidual, with its stated hypotheses: Let or . For a normed , define With the dual norm from def-dual-space-of-a-normed-space, evaluation is linear in and , so is a bounded functional on . The map is canonical and uses no chosen basis or conjugation.
Counterexample
The first dual is identified isometrically with through , where . Its dual is , by the complex endpoint theorem or the real counting-measure theorem at . Precomposition with a surjective isometry preserves functional norms and is bijective by precomposition with its inverse, so these identifications also identify the bidual.
By canonical evaluation, , whose coefficient sequence in is exactly . The constant-one sequence is bounded, but a preimage would have for every , as tested with . Such a sequence does not tend to zero. Thus the named canonical map is not onto. Its zero input maps to zero, so the obstruction is the specified nonzero element.
The transpose of an injective map need not have norm-dense range
Statement refuted
An injective bounded operator need not have norm-dense transpose range. Over , take the inclusion . Its transpose is the inclusion , and The operator is injective and has dense range.
Facts & Assumptions
Given: The spaces, maps, scalar field, and hypotheses in the statement above. All duals consist of linear functionals over the ambient field; evaluation has no conjugation.
From The transpose of a bounded operator, with its stated hypotheses: Let or . Let be bounded and linear between normed spaces. Its transpose, or Banach adjoint, is The duals are def-dual-space-of-a-normed-space. Composition is bounded by lem-composition-operator-norm-inequality, so this has the displayed codomain. It is linear in over . No complex conjugation is inserted; a Hilbert adjoint uses a separate inner-product identification.
From The continuous dual of c0 is ell-one, with its stated hypotheses: Let or . With coordinates starting at zero, the map is a linear isometric bijection. The pairing is bilinear, including over .
From Counting measure specializes the representation theorem to and , with its stated hypotheses: Let and let be conjugate to . Every bounded linear functional is of the form for a unique sequence . Moreover,
From Finite truncations approximate null and summable sequences, with its stated hypotheses: Let or . Use coordinates indexed by . Define , with coordinatewise operations and norm . Let retain coordinates and set all others to zero. Then
From c_0 is a closed subspace of ell-infinity, with its stated hypotheses: is a closed linear subspace of in the sup norm.
From Annihilator notation and the preannihilator, with its stated hypotheses: Let or . For a normed and arbitrary subsets , , define Here is def-dual-space-of-a-normed-space. The first notation agrees with def-continuous-annihilator-of-a-subspace on , since linearity makes vanishing on equivalent to vanishing on its span. The preannihilator lies in , not in . Empty sets impose no conditions: and .
Counterexample
Absolute summability implies convergence to zero: infinitely many coordinates of magnitude at least would make partial absolute sums unbounded. Also , so inclusion is bounded and injective. Finite-support sequences lie in its range and are dense in by truncation.
Identify with and with real . For and , , so the transpose corresponds to the same coefficient sequence , now viewed in .
The transpose image is contained in , which is closed in , so its norm closure is contained in . Conversely it contains all finite-support sequences, whose sup-norm closure contains by truncation. Hence that closure is exactly .
The constant-one sequence has distance exactly one from : for , , so , and attains one. It is therefore outside the closure. Since , its annihilator is all of , proving strict inclusion.
Injective transpose does not imply surjectivity
Statement refuted
An injective transpose does not force surjectivity of the original bounded operator. On real , define Under the real counting-measure dual identification, . Both maps are injective with dense nonclosed range, and neither is onto.
Facts & Assumptions
Given: The spaces, maps, scalar field, and hypotheses in the statement above. All duals consist of linear functionals over the ambient field; evaluation has no conjugation.
From The transpose of a bounded operator, with its stated hypotheses: Let or . Let be bounded and linear between normed spaces. Its transpose, or Banach adjoint, is The duals are def-dual-space-of-a-normed-space. Composition is bounded by lem-composition-operator-norm-inequality, so this has the displayed codomain. It is linear in over . No complex conjugation is inserted; a Hilbert adjoint uses a separate inner-product identification.
From Counting measure specializes the representation theorem to and , with its stated hypotheses: Let and let be conjugate to . Every bounded linear functional is of the form for a unique sequence . Moreover,
From is the space of counting measure, with its stated hypotheses: On with counting measure, every function is measurable. Writing , one has by the counting-measure integral dictionary, so is exactly the usual sequence class . Also because a subset of has counting measure zero only when it is empty. Hence the quotient by almost-everywhere equality does nothing: for counting measure on , equality almost everywhere means equality everywhere.
Counterexample
The real counting-measure model has . Thus and is linear and injective. Every finite-support has the finite-support preimage ; truncating a square-summable sequence approximates it because the squared tail sums tend to zero. Therefore the range is dense.
For , the pairing is . Absolute convergence follows, for example, from . Hence , and uniqueness in the real duality theorem at gives .
The sequence lies in : the zeroth squared term is one and for , , whose sums telescope. A preimage would satisfy for all , which is not square summable. Thus is not onto and its dense range is proper, hence nonclosed. By step 2.1 the same is true of . The formula is defined at index zero, and zero is in both ranges.
Sources
- Bühler–Salamon, Functional Analysis, Examples 1.32 and 1.37, pp.32,37
- Bühler–Salamon, Functional Analysis, Examples 1.35–1.36, pp.36–37
- Bühler–Salamon, Functional Analysis, Definition 4.1 and Examples 1.35–1.36, pp.172,36–37
- Bühler–Salamon, Functional Analysis, Example 1.37 and Example 4.4, pp.37,173
- Bühler–Salamon, Functional Analysis, Example 1.36, pp.36–37; Brezis §1.3 notation p.9
- Bühler–Salamon, Functional Analysis, Example 4.5, p.173
- Bühler–Salamon, Functional Analysis, Definition 4.1 and Lemma 4.3(i), pp.172–173
- Bühler–Salamon, Functional Analysis, Examples 1.35–1.36 and §2.4.1, pp.36–37,88
- Bühler–Salamon, Functional Analysis, Example 4.10, p.174
- Bühler–Salamon, Functional Analysis, Example 4.9, p.174; Brezis Remark 20, p.48