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Complex Riesz–Thorin Endpoint Interpolation
1 · Prerequisites
- Absolute and Conditional Convergence; Rearrangement; Products
- Analyticity of Holomorphic Functions; Liouville and Morera
- Arc Length and Rectifiable Curves
- Areas of Elementary Plane Figures
- Binary Operations, Monoids, Groups and Subgroups
- Bounded Variation and the Riemann–Stieltjes Integral
- Compactness
- Compactness in Metric Spaces
- Completeness, Completion, and Uniform Continuity
- Complex Differentiability and the Cauchy–Riemann Equations
- Complex Lp Spaces and Test-Function Conventions
- Complex Power Series and Analytic Functions
- Connectedness
- 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
- Contour Integration
- Cosets, Index and Lagrange's Theorem
- Countability and Uncountability
- Countability Axioms and Cardinal Functions
- Density Separability and Convolution in Lᵖ
- Determinants of Matrices over a Commutative Ring
- Divisibility, Euclidean Domains, Principal Ideal Domains and Unique Factorisation
- Dual Spaces, Bilinear and Quadratic Forms, and Sylvester's Law of Inertia
- Filters and Ultrafilters
- Finite Counting, Factorials and Binomial Coefficients
- Foundations of the Real Numbers for Analysis
- Fubini and Change of Variables
- Fundamental Trigonometric Identities
- Gaussian Elimination, Elementary Matrices and Reduced Row Echelon Form
- Goursat's Theorem and Cauchy's Theorem in a Convex Domain
- Group Actions, Orbits, Stabilisers and Cayley's Theorem
- Ideals, Quotient Rings and the Isomorphism Theorems for Rings
- Inner Product Spaces, Gram-Schmidt, Projections and Adjoints
- Lebesgue Measure on Euclidean Space
- Limits of Real Functions
- limsup, liminf, and Subsequential Limits
- Line Integrals and the Gradient Theorem
- 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
- Mixed Partials, Taylor Formulae, and Extrema
- Modes of Convergence Egorov and Lusin
- Monotone Functions, Discontinuities, and Continuity Sets
- Monotone Sequences, Bolzano-Weierstrass, and Cauchy Completeness
- Normal Subgroups and Quotient Groups
- 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
- Product Measures and the Fubini Tonelli Theorems
- Properties of the Integral and the Working FTC
- 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
- Simple Field Extensions and the Construction of the Complex Numbers
- Sine, Cosine, and the Definition of Pi
- Subspaces, Products, and Quotients
- Suprema and Infima
- Symmetric Groups, Cycle Decomposition and the Sign Homomorphism
- The Cantor Set, Baire Category, and Measure Zero in ℝ
- The Complex Exponential and Euler's Formula
- The Derivative and the Mean Value Theorems
- The Exponential Function
- The Fundamental Theorems of Calculus
- The Identity Theorem, the Maximum Principle and the Open Mapping Theorem
- The Inverse and Implicit Function Theorems
- The Lebesgue Integral and the Convergence Theorems
- The Logarithm and General Powers
- The Lᵖ Spaces Holder Minkowski and Riesz Fischer
- The Riemann Integral in Rᵐ and Jordan Content
- The Riemann Integral: Definition and Integrability
- The Topology of Euclidean Space
- The Total Derivative in ℝᵐ → ℝⁿ
- The ZFC Axioms and the Basic Set Constructions
- Topological Spaces and Continuity
- Topology of ℝ
- Triangularisation, Generalised Eigenspaces and Jordan Canonical Form
- Vector Spaces, Linear Subspaces, Span and Direct Sums
2 · Summary
Finite simple functions give coefficientwise entire families with exact boundary norm powers. The bilinear scalar pairing and the closed-strip three-lines theorem then prove target membership and the interpolated bound. The finite-target case retains arbitrary measure spaces by localizing the finitely many indicator images to sigma-finite support. Countable choice is stated for the full-space extensions and their agreement on intersections. The final abstract endpoint specialization supplies the exponent arithmetic used in Hausdorff–Young applications.
3 · Logical flowchart
4 · Definitions, theorems and proofs
Finite simple analytic families and their exact endpoint norms
Statement
Let , , and . Define For complex finite simple functions and on their respective measure spaces, with disjoint finite-measure fibers, there are coefficientwise entire families bounded in coefficient modulus on , with as a.e. classes. After discarding zero coefficients and null fibers, for nonzero classes and and every , If , then when , and when . If , necessarily ; take , retaining its infinity norm. Zero classes have identically zero families.
Facts & Assumptions
Finite simple classes and their norms use disjoint measurable fibers; zero classes can be represented by zero Complex Lp classes and Euclidean test-function conventions.
Conjugate exponents have reciprocal sum one with reciprocal infinity zero Conjugate exponents, including the endpoint conventions.
For positive a, exp(log a)=a The natural logarithm as the inverse of the exponential function.
For positive a, a to a real power is exp of that power times log a Real powers for positive bases, with the zero-base positive-exponent convention.
The complex exponential is entire The complex exponential is entire and its complex derivative is itself.
Compositions of complex differentiable maps are complex differentiable The chain rule for complex derivatives.
The modulus of exp(x+iy) is exp(x) , , and .
Affine combinations and finite sums and products of entire functions are entire Linearity, product, reciprocal, and quotient rules for complex derivatives.
The real exponential is increasing, so an affine real exponent between its endpoint values gives a modulus bounded by the endpoint maximum The exponential function is strictly increasing.
Proof
Given: The objects and hypotheses in the statement.
Discard null fibers and zero coefficients without changing the classes, and define their omitted contributions to be zero for every z. For the remaining coefficients put and . Positive coefficient moduli have defined logarithms; at z=theta, , so . Set .
The affine alpha is entire; the chain rule and the entire exponential make every entire. For , the exponential modulus formula gives . For this is bounded by the larger of the two boundary powers. The finite list of coefficients is therefore bounded throughout the strip. At with or , disjointness gives , proving the asserted norm formula.
Since , we have . If r is finite, put and . The preceding entire-function and modulus calculations apply with r and the b-coefficients, and . For finite , . If , each surviving coefficient has modulus one on that boundary, so the essential maximum is one: a nonzero class has at least one positive-measure surviving fiber.
If , the positive weights and nonnegative reciprocals force , hence . The constant family is entire coefficientwise, bounded, has and unchanged infinity norm. Identically zero families handle zero classes on either side, including empty or zero-measure spaces, with no logarithm of zero. Thus every asserted branch is established.
Riesz–Thorin estimate on the finite simple core
Statement
Let and be sigma-finite measure spaces. Let T be a complex-linear map from the a.e. classes of complex finite simple functions of finite-measure nonzero set on X into measurable complex a.e. classes on Y. Suppose Then for and the reciprocal-affine exponents , The same conclusion holds on arbitrary source and target measure spaces when . At theta equal to zero or one use the given endpoint estimates, with no convention for .
Facts & Assumptions
Normalized finite-simple input and dual test functions have coefficientwise entire bounded-strip families with boundary norms one Finite simple analytic families and their exact endpoint norms.
Complex Holder bounds bilinear integrals and the quotient norms are homogeneous Complex Holder, Minkowski, and the quotient norm.
Finite sums of integrable complex functions can be integrated termwise The Lebesgue integral is linear on .
Finite sums and products of entire functions are entire Linearity, product, reciprocal, and quotient rules for complex derivatives.
A bounded continuous closed-strip function holomorphic inside satisfies the geometric bound at every interior line, including zero boundary bounds Hadamard three-lines theorem.
On a sigma-finite measure space bounded finite-simple dual tests prove Lq membership and recover the norm, including q=infinity Complex Lq norm recovery from finite simple dual tests.
Integrating a lower bound by a constant times an indicator gives the corresponding bound on its measure Monotonicity and nonnegative homogeneity of the nonnegative integral.
Finite unions of finite-measure level sets have finite measure Finite and countable subadditivity of measures.
Proof
Given: The objects and hypotheses in the statement.
Fix an interior theta and write p,q for its exponents and r for the conjugate of q. If f is zero as a class, linearity gives Tf=0. Otherwise replace f by . For a nonzero finite simple dual test replace g by ; zero tests already have zero integral. These normalizations are legal for nonzero finite simple classes of finite-measure support. The families in F1 then have input boundary norms one and dual boundary norms one, including the constant family when r=infinity.
Write and . Put . The endpoint hypothesis puts each in both target endpoint spaces. Endpoint Holder with , which belongs to every conjugate space because its support has finite measure, proves finite. Linearity gives . This is a finite sum of products of entire coefficients, so it is entire and continuous on the closed strip. Their strip bounds and the finite constants give a uniform bound for H on that whole strip.
On each boundary line , Holder and the endpoint operator bound yield . The precise closed-strip three-lines theorem therefore gives . It also applies when an vanishes, because theta is interior and both powers are positive.
For arbitrary measure spaces with finite , choose representatives of the finitely many and let . For each j,m, . Thus each level set has finite measure, and their countable union is sigma-finite (finite unions give an increasing exhaustion). All the chosen , hence the finite-sum representative of every , vanish off . The restricted measure and its measurable sets satisfy the same endpoint bounds.
For any unnormalized test s with , either it is the zero class or scaling the estimate for its norm-one version gives . Every such product is integrable by the endpoint Holder calculation. On sigma-finite Y the membership form of the dual-test lemma now proves and bounds its norm. Scaling f back proves the desired estimate. No step assumed intermediate target membership before this test.
Apply steps 1.1, 2.1, 3.1 and 4.1 with dual tests on , extended by zero to Y. Their integrals and norms are unchanged, and membership on gives membership on Y because Tf vanishes off . The argument used only the finitely many source fibers, not source sigma-finiteness. If is empty, Tf is zero and the estimate holds directly. The endpoint parameters are exactly the original hypotheses.
Compatible extensions from the finite simple core
Statement
Assume countable choice and the hypotheses and measure-space alternatives of Riesz–Thorin estimate on the finite simple core. For each its core operator extends uniquely to a bounded complex-linear map with the interpolated bound for interior theta and the original bound at either endpoint. Every two extensions agree as measurable a.e. classes on their domain intersection. Thus defines a well-defined linear map on , and each interpolated extension is its restriction.
Facts & Assumptions
The core map has a finite interpolated norm bound and the given endpoint bounds Riesz–Thorin estimate on the finite simple core.
Under countable choice every complex Lq is complete and norm convergence has an a.e.-convergent subsequence, including q=infinity Complex Lp completeness and almost-everywhere subsequences.
Finite simple functions with finite-measure support are dense for finite input exponents on every measure space Complex finite-simple and smooth compact-support density for finite p.
Countable choices of approximants and representatives are permitted The Axiom of Countable Choice ().
The quotient norms are homogeneous and satisfy the triangle inequality Complex Holder, Minkowski, and the quotient norm.
Pointwise convergence under an integrable majorant gives convergence of the integrals of the nonnegative errors Dominated convergence.
The integer part uniquely specifies rounding to a mesh; positive values round down and negative values round up toward zero Integer part: for every real there is exactly one integer with .
Integral monotonicity bounds the measures of positive level sets by finite moments Monotonicity and nonnegative homogeneity of the nonnegative integral.
Products of positive bases and iterated real powers obey the exponent laws The exponent, product, quotient, and iterated-power laws for positive real bases and real exponents.
The real exponential is continuous and strictly increasing The exponential function is strictly increasing.
For positive t, exp(log t)=t, so strict increase gives log t positive above one and negative below one The natural logarithm as the inverse of the exponential function.
Positive real powers are exp of the exponent times the logarithm; zero to a positive power is zero Real powers for positive bases, with the zero-base positive-exponent convention.
Proof
Given: The objects and hypotheses in the statement.
Fix theta, put and , and denote its finite core bound by K (the stated endpoint bound when theta is an endpoint). Density and countable choice give finite simple for with for any fixed . The bound makes Cauchy. Completeness, with its stated countable-choice hypothesis, gives a limit; define to be that limit.
To compare parameters a,b, fix a finite-valued measurable representative . For , set . This set has finite measure because . On , round each real and imaginary component toward zero to a multiple of , and put elsewhere. The rounding has finitely many values because the components are bounded by n; its fibers are measurable intervals, and its support lies in . Also . At a point with f nonzero, it eventually belongs to and the rounding error is at most ; at a zero of f every is zero. Thus pointwise and for j=a,b. Dominated convergence applied to these errors gives simultaneous convergence in both source norms.
If is a second core approximation converging to f, , so the definition is independent of approximation. Approximate f and g separately; approximates , and core linearity gives linearity of the limits. Norm continuity gives . Any bounded extension has the same limit on a dense core, proving uniqueness. This includes K=0.
By step 2.1, the one sequence converges in to and in to . The a.e.-subsequence theorem first gives a subsequence converging a.e. to a representative of ; apply it again to that subsequence in to get a further subsequence converging a.e. to . Choosing representatives and taking the countable union of their measurable null discrepancies makes the two pointwise limits comparable on one conull set. Uniqueness of complex pointwise limits gives as classes. The supplier covers q=infinity as well.
If with endpoint components, then lies in . Agreement gives , so . Componentwise addition and scalar multiplication prove linearity of this sum map.
If and , split , . For , ; since exp is increasing and , has the sign of . Thus powers increase with the exponent for and decrease for ; at all positive powers are zero. On the first set , and on the second . Thus and . Pairwise agreement and linearity give . If , reverse the endpoint labels in this split. If they coincide, f is already in both endpoint spaces. This proves the restriction assertion for all theta, including the endpoints.
Interpolate L1 to Linfinity and L2 to L2 bounds
Statement
On sigma-finite measure spaces suppose a complex-linear finite-simple-core operator satisfies and , for finite . For , with , At p=1 and p=2 retain the respective given estimates. Under countable choice these maps have the unique compatible bounded extensions to the full Lp spaces.
Facts & Assumptions
The core interpolation bound holds at reciprocal-affine exponents on sigma-finite spaces Riesz–Thorin estimate on the finite simple core.
Conjugacy means reciprocal exponents sum to one, with reciprocal infinity zero Conjugate exponents, including the endpoint conventions.
Under countable choice the core bounds give unique compatible extensions Compatible extensions from the finite simple core.
Countable choice is assumed only for the full-space extension conclusion The Axiom of Countable Choice ().
Proof
Given: The objects and hypotheses in the statement.
For , set . Then , , and . Thus the core interpolation theorem with endpoints and gives exactly and proves membership in . Zero A or B is allowed because the interior powers are positive.
At p=1 the target is infinity and at p=2 the target is two, so the asserted estimates are the respective hypotheses. Assuming countable choice, the compatible-extension result applies with finite source endpoint exponents 1 and 2 and the given sigma-finite spaces, providing the claimed unique bounded extensions and agreement.
5 · Examples, counterexamples and false statements
None yet.
Sources
- Laugesen Appendix C proof of Theorem C.6, pp.170–172, equations (C.4)–(C.6); Teschl Theorem 15.2, p.415
- Teschl Theorem 15.2 pp.414–415; Laugesen Theorem C.6 pp.168–173, including p.172 norm-recovery caveat
- Teschl Corollary 15.3 p.415 and sum-space discussion p.413; Laugesen Remark C.7(2)–(3) pp.169–170 and proof conclusion pp.172–173
- Laugesen Theorem C.6 pp.168–173; Teschl Corollary 15.4 p.415 as application motivation