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Weak mixing is equivalent to absence of nonconstant eigenfunctions
Statement
Assume AC. For a measure-preserving transformation on a completed Lebesgue probability space the following are equivalent: (i) weak mixing in the absolute-Cesaro sense; (ii) no nonconstant complex eigenfunction; (iii) ergodicity of on the completed product. Equivalently, for each pair its centered correlations tend to zero outside a set of integers of natural density zero; the exceptional set may depend on the pair. Invertibility is not required.
Facts & Assumptions
Eigenfunctions and the closed zero-mean space have the stated conventions Eigenfunction for a probability system.
Cesaro averages of an isometry converge to the orthogonal projection onto its fixed space Hilbert cesaro averages converge to the fixed subspace.
An invariant kernel gives compact intertwiners commuting with , and zero marginals give the stated nonzero restriction to Invariant square integrable kernel produces a compact intertwiner.
A nonzero invariant kernel with zero marginals gives a nonzero finite-dimensional invariant subspace of Compact intertwiners produce finite dimensional invariant subspaces.
Such a subspace contains a nonconstant eigenfunction Nonzero finite dimensional complex invariant subspaces have unitary eigenvectors.
Ergodicity is equivalent to constancy a.e. of invariant measurable complex functions Equivalent invariant-set and invariant-function criteria for ergodicity.
Weak mixing is equivalent to absolute-Cesaro convergence of centered complex correlations Mixing correlations extend to L2 functions.
Weak mixing keeps the absolute value inside the average Strong and weak mixing on a probability space.
Completed-product Fubini applies after checking integrability Tonelli and Fubini for the completed product, with only almost-everywhere section measurability.
Assume AC The Axiom of Choice.
On a finite measure space, preservation on a generating pi-system implies preservation on the generated sigma-algebra Measure preservation can be checked on a generating pi-system.
The local canonical-simple and monotone-convergence argument proves that pullback by a measure-preserving map is a linear isometry on complex Eigenfunction for a probability system.
Every set in a completion has the form , where is base measurable and is contained in a base null set The completion domain and proposed completed set function of a measure space.
A square-integrable kernel defines a compact operator, and the zero operator has only the zero kernel Square integrable kernels define bounded compact integral operators.
Proof
Given: The completed Lebesgue probability system and AC.
If is a nonconstant eigenfunction, center it when its eigenvalue is one; when the eigenvalue differs from one its mean already vanishes. This gives a nonzero with and . Thus for every . Its absolute-Cesaro average cannot tend to zero. F8–F9 therefore prove (i) implies (ii).
On every measurable rectangle , the product map satisfies
The inverse images of rectangles are measurable, so the sets whose inverse images are product measurable form a sigma-algebra; hence is measurable because rectangles generate the product sigma-algebra. Rectangles together with form a generating pi-system, and F12 makes measure preserving on the uncompleted product. If is completed measurable as in F14, with and , then and the latter is a base null set. Thus is completed measurable and has the same completed measure as . Therefore preserves the completed product, and F13 makes its Koopman operator a complex isometry.
Assume (ii). Every invariant indicator is an eigenfunction of eigenvalue one unless zero, so it is constant a.e.; its set is null or conull. Thus is ergodic. If and is nonconstant, subtract its total mean to make , still with . F15 gives a nonzero compact kernel operator , while F4 gives and . Since , the images and are invariant functions. Ergodicity makes both constant. Their means are and its conjugate, respectively, by Fubini; hence both are zero. These are exactly the two zero-marginal conditions. F5 and F6 would then produce a nonconstant eigenfunction, contradicting (ii). Every -fixed class is consequently constant. In particular each product-invariant indicator is constant, so (iii) follows. The kernel is integrable because its norm is finite and the product mass is one.
Assume (iii). If a nonconstant eigenfunction existed, center it as in step 1.1 to obtain of mean zero. Put . Tonelli gives , and Fubini gives . Its pullback is ; factor-null exceptional sets pull back to null subsets of the square by the completed-product preservation in step 1.2. Product ergodicity and F7 force to be constant, and its zero mean forces that constant to be zero, a contradiction. Thus (iii) implies (ii).
Under (iii), F7 says the fixed space of consists exactly of constants. For arbitrary , let , and . As in step 2.2, these are in product and has integral zero. Its projection onto constants is therefore zero. Since step 1.2 proves that is an isometry, F2 yields in norm, so its pairing with tends to zero by Cauchy–Schwarz. Fubini computes : each factor is integrable by Cauchy–Schwarz, and the absolute double integral is the square of its finite norm.
Finite Cauchy–Schwarz on the real nonnegative numbers gives . The correlation here equals of F8 because . Thus F8 proves (i). Together with steps 1.1, 2.1 and 2.2 this closes all three implications. If or , both sides of the estimate are zero. The assumed AC supplies every cited projection, compactness and completion result that requires it; no spectral-measure construction is used.
For completeness let , bounded by . If its Cesaro mean tends to zero, each has density zero since . Choose recursively as the least integer larger than such that this density is below for every ; the convergence just proved ensures existence. Put . For , the increasing property for implies , so has density zero. Off on its th interval, , proving the claimed convergence. Conversely, if has density zero and off , choose so that off for . Then . Its limsup is at most every positive , hence zero. This proves the pairwise density-zero equivalent criterion without asserting one exceptional set for all uncountably many pairs. Least integer cutoffs add no choice use.
Depends on
- Eigenfunction for a probability system
- Hilbert cesaro averages converge to the fixed subspace
- Invariant square integrable kernel produces a compact intertwiner
- Compact intertwiners produce finite dimensional invariant subspaces
- Nonzero finite dimensional complex invariant subspaces have unitary eigenvectors
- Equivalent invariant-set and invariant-function criteria for ergodicity
- Mixing correlations extend to L2 functions
- Strong and weak mixing on a probability space
- Tonelli and Fubini for the completed product, with only almost-everywhere section measurability
- Measure preservation can be checked on a generating pi-system
- The completion domain and proposed completed set function of a measure space
- Square integrable kernels define bounded compact integral operators
- The Axiom of Choice
Used by
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Sources
- Sarig Theorem 3.2 pp.91–92; local Hilbert and compact-kernel route supplies implication omitted there (standard reference, not scraped)
- Axler Example 10.5, 10.70, 10.96–10.99 (local variants) (standard reference, not scraped)