Abstract

In this paper we introduce and explore the notion of rigidity group, associated with a collection of finitely many sequences, and show that this concept has many, somewhat surprising characterizations of algebraic, spectral, and unitary nature. Furthermore, we demonstrate that these characterizations can be employed to obtain various results in the theory of generic Lebesgue-preserving automorphisms of [0,1][0,1], IP-ergodic theory, multiple recurrence, additive combinatorics, and spectral theory. As a consequence of one of our results we show that given (b1,...b)N(b_1,...b_\ell)\in\mathbb N^\ell, there is no orthogonal vector (a1,,a)Z(a_1,\dots,a_\ell)\in\mathbb Z^\ell with some aj=1|a_j|=1 if and only if there is an increasing sequence of natural numbers (nk)kN(n_k)_{k\in\mathbb N} with the property that for each F{1,...,}F\subseteq \{1,...,\ell\} there is a μμ-preserving transformation TF:[0,1][0,1]T_F:[0,1]\rightarrow[0,1] (μμ denotes the Lebesgue measure) such that for any measurable A,B[0,1]A,B\subseteq [0,1], limkμ(ATFbjnkB)={μ(AB), if jF,μ(A)μ(B), if j∉F.\lim_{k\rightarrow\infty}μ(A\cap T_F^{-b_jn_k}B)=\begin{cases} μ(A\cap B),\,\text{ if }j\in F,\\ μ(A)μ(B),\,\text{ if }j\not\in F. \end{cases} We remark that this result has a natural extension to a wide class of families of sequences.

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Audited against arXiv v2

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Generated August 18, 2026
01Statements3 reported findingsCorrect

Both main results are supported. Theorem 1.5 proves equivalence between the algebraic asymptotic-relation condition and the spectral, measure, unitary, and generic dynamical descriptions of rigidity groups. Theorem 1.8 uses the resulting continuous spectral measures to construct weakly mixing transformations that are rigid along prescribed sequences while having the announced mixing behavior along the complementary sequences.

Theorem 1.5Correct

Equivalent characterizations of rigidity groups

Pages 4–8 · Theorems 1.5 and 1.8 · arXiv:2504.17555v2

Theorem 1.5 identifies the groups that occur as rigidity groups through the printed algebraic condition on the subgroup of asymptotic relations. It proves equivalence with the spectral-measure, unitary-representation, and generic measure-preserving-transformation formulations listed in the statement. The implication from the algebraic condition constructs a continuous probability measure whose Fourier transform tends to one exactly along the prescribed sequences; the converse reads every forced asymptotic relation from that convergence. The quantifiers over sequences and integer combinations agree in all formulations.

Theorem 1.8Correct

Coexistence of prescribed mixing and rigidity

Pages 7–8 and 22–29 · Theorem 1.8 · arXiv:2504.17555v2

Under the algebraic compatibility condition stated in the theorem, the constructed continuous measure has Fourier coefficients tending to one on every rigidity sequence and to the target mixing limits on the complementary sequences. The Gaussian realization is weakly mixing because the measure is atomless. Its correlations inherit those Fourier limits, giving rigidity and mixing on the same transformation with the interpolation parameters exactly as prescribed.

Generic formulationCorrect

Passage from one realization to a residual class

Pages 16–22 · genericity propositions · arXiv:2504.17555v2

Finite correlation requirements are open in the weak topology and can be met densely by conjugating the spectral/Gaussian models on large Rokhlin towers. Intersecting the countable family of open dense conditions gives the residual set claimed in Theorem 1.5. The sequences are countable and fixed before the intersection, so the Baire argument has the correct quantifier order.

02Proofs3 reported findingsCorrect

Theorem 3.1 and the Gaussian realization. A maximal asymptotically independent subfamily defines an integer homomorphism whose kernel is exactly the subgroup of forced asymptotic relations. Fourier limits of the constructed measures equal one on this kernel and vanish or take the specified values off it. Passing to the annihilator compact group identifies the limiting measure with Haar measure. The spectral theorem realizes the measures as unitary correlations, and the Gaussian functor converts the continuous spectral representation into a weakly mixing probability-preserving transformation while preserving the selected rigidity times.

Reduction to asymptotically independent sequencesCorrect and complete

Theorem 3.1 and the Gaussian realization

Pages 10–29 · Sections 2–5 · arXiv:2504.17555v2

A maximal asymptotically independent subfamily defines an integer homomorphism whose kernel is exactly the subgroup of forced asymptotic relations. Fourier limits of the constructed measures equal one on this kernel and vanish or take the specified values off it. Passing to the annihilator compact group identifies the limiting measure with Haar measure. The spectral theorem realizes the measures as unitary correlations, and the Gaussian functor converts the continuous spectral representation into a weakly mixing probability-preserving transformation while preserving the selected rigidity times.

Sections 2–3Correct and complete

Asymptotic relations and Fourier limits

Pages 10–20 · Sections 2–3 · arXiv:2504.17555v2

Maximal independence makes every original sequence an integer combination of basis sequences modulo a term tending to zero. The induced map to a compact torus has kernel exactly the declared relation subgroup. Haar measure on the annihilator has Fourier transform equal to one on the kernel and zero off it; smoothing and pushforward produce the continuous measures needed for weak mixing without changing the selected limits.

Sections 4–5Correct and complete

Unitary/Gaussian realization and interpolation

Pages 20–29 · Sections 4–5 · arXiv:2504.17555v2

The spectral theorem represents the constructed Fourier coefficients as matrix coefficients of a unitary operator. The Gaussian construction turns that representation into a measure-preserving transformation, and atomlessness excludes eigenfunctions outside the constants. Rigidity follows by L2L^2 convergence on the first Gaussian chaos and then on the generated sigma-field. Mixing limits are first checked on Gaussian polynomials and extended by density, yielding Theorem 1.8.

03Novelty0 reported findingsNo non-novelty findings

No non-novelty findings.

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Paper
arXiv:2504.17555v2
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Rigoberto Zelada
Audit date
August 18, 2026
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