Bergelson, Moreira, and Richter proved single and multiple recurrence along functions of an iterated-difference class F\mathcal{F} in the sense of uniform Riesz (weighted) means, and conjectured in their Remark 1.12 that for tempered functions these weighted means can be replaced by ordinary Cesàro averages. Reilly confirmed that conjecture, and also proved that the replacement fails in general outside the tempered regime, the function f(n)=log⁡nf(n)=\log n supplying a concrete obstruction. The open problem is to classify the weights WW (equivalently, the functions f∈Ff\in\mathcal{F} via W=Δℓ−1fW=\Delta^{\ell-1}f) for which uniform WW-weighted convergence of bounded sequences implies Cesàro convergence. Sufficiency is known when N⋅ΔW(N)→∞N\cdot\Delta W(N)\to\infty; failure is known for W=log⁡W=\log, where N⋅ΔW(N)→1N\cdot\Delta W(N)\to 1, and Bergelson–Moreira–Richter's Remark 1.12 cites further faster-than-linear failure examples from the ergodic averaging sequences of Boshernitzan–Kolesnik–Quas–Wierdl. The boundary regimes — N⋅ΔW(N)N\cdot\Delta W(N) tending to a finite positive constant or to 0, or oscillating — remain unclassified beyond the known failure at W=log⁡W=\log.

Background

A probability measure preserving system is a quadruple (X,B,μ,T)(X,\mathscr{B},\mu,T) consisting of a probability space together with an invertible, measure-preserving transformation TT. A central question of ergodic theory is multiple recurrence: for a measurable set AA with μ(A)>0\mu(A)>0, is it true that lim⁡N→∞1N∑n=1Nμ(A∩T−⌊f(n)⌋A∩⋯∩T−⌊f(n+k)⌋A)>0\lim_{N\to\infty}\frac{1}{N}\sum_{n=1}^{N}\mu(A\cap T^{-\lfloor f(n)\rfloor}A\cap\cdots\cap T^{-\lfloor f(n+k)\rfloor}A)>0 when the return times follow a non-polynomial function ff? By Furstenberg's correspondence principle, such statements are equivalent to combinatorial assertions that every set of integers of positive upper density dˉ(E)=lim sup⁡N→∞∣E∩[1,N]∣/N\bar d(E)=\limsup_{N\to\infty}|E\cap[1,N]|/N contains configurations {a,a+⌊f(n)⌋,…,a+⌊f(n+k)⌋}\{a,a+\lfloor f(n)\rfloor,\dots,a+\lfloor f(n+k)\rfloor\}.

Bergelson, Moreira, and Richter (2020) introduced a class F\mathcal{F} of functions built by iterated differences: F0\mathcal{F}_0 consists of the functions f:N→Rf:\mathbb{N}\to\mathbb{R} tending to 0 that are eventually monotone with a divergent series, that is ∣∑n=1∞f(n)∣=∞\left|\sum_{n=1}^{\infty}f(n)\right|=\infty; Fℓ+1={f:Δf∈Fℓ}\mathcal{F}_{\ell+1}=\{f:\Delta f\in\mathcal{F}_\ell\} where Δf(n)=f(n+1)−f(n)\Delta f(n)=f(n+1)-f(n); and F=⋃ℓ≥1Fℓ\mathcal{F}=\bigcup_{\ell\geq 1}\mathcal{F}_\ell. This class contains nαn^{\alpha} for every non-integer α>0\alpha>0 and every tempered function, meaning a function on a half-line that is ℓ\ell times continuously differentiable with f(ℓ)f^{(\ell)} tending monotonically to 0 and x∣f(ℓ)(x)∣→∞x|f^{(\ell)}(x)|\to\infty (a notion from the theory of uniform distribution). For f∈Fℓf\in\mathcal{F}_\ell they set W=Δℓ−1fW=\Delta^{\ell-1}f and proved their recurrence and convergence statements (their Theorem D) in the sense of uniform Riesz means with respect to WW: the WW-weighted average over an interval is En∈[M,N]Wa(n)=1W(N)−W(M)∑n=MNΔW(n)a(n)\mathbb{E}_{n\in[M,N]}^{W}a(n)=\frac{1}{W(N)-W(M)}\sum_{n=M}^{N}\Delta W(n)a(n), and the uniform Riesz mean EunifW\mathbb{E}_{\mathrm{unif}}^{W} is the limit of these averages over all intervals with W(N)−W(M)→∞W(N)-W(M)\to\infty. For W=IdW=\mathrm{Id} this recovers the classical uniform Cesàro mean. In Remark 1.12 they conjectured that for tempered ff these weighted means can be replaced by ordinary Cesàro averages 1N∑n=1Na(n)\frac{1}{N}\sum_{n=1}^{N}a(n), while noting that the replacement provably fails for some functions in F\mathcal{F} growing faster than linear, citing examples of Boshernitzan–Kolesnik–Quas–Wierdl.

Reilly (2026) confirmed the conjecture. His Theorem A shows that if WW increases to ∞\infty, ΔW\Delta W eventually decreases to 0, and N⋅ΔW(N)→∞N\cdot\Delta W(N)\to\infty — the situation attained when W=Δℓ−1fW=\Delta^{\ell-1}f for tempered ff — then whenever the uniform WW-weighted averages of a bounded sequence in a Banach space converge to LL, the Cesàro averages also converge to LL. His engine (Theorem B) is a chain (1)  ⟹  (2)  ⟺  (3)  ⟺  (4)  ⟺  (5)(1)\implies(2)\iff(3)\iff(4)\iff(5), valid for weights V:N→(0,∞)V:\mathbb{N}\to(0,\infty) increasing to ∞\infty with Δlog⁡V(N)\Delta\log V(N) eventually decreasing to 0 and Δlog⁡V(N)/Δlog⁡N→∞\Delta\log V(N)/\Delta\log N\to\infty, linking: (1) ordinary VV-weighted averages lim⁡N→∞En≤NVxn\lim_{N\to\infty}\mathbb{E}_{n\leq N}^{V}x_n; (2) iterated VV-weighted averages E(∞)Vxn\mathbb{E}(\infty)^{V}x_n, obtained by iterating the initial-segment averaging operator En≤NV\mathbb{E}_{n\leq N}^{V} and letting the number of iterations tend to infinity; (3) UU-weighted averages for auxiliary weights UU increasing to ∞\infty that satisfy the admissibility condition (his equation (1.15))

lim⁡N→∞V(N−1)ΔU(N)(ΔU(N)ΔV(N)−ΔU(N−1)ΔV(N−1))=−1\lim_{N\to\infty}\frac{V(N-1)}{\Delta U(N)}\left(\frac{\Delta U(N)}{\Delta V(N)}-\frac{\Delta U(N-1)}{\Delta V(N-1)}\right)=-1

written in Reilly's backward-difference convention Δf(n)=f(n)−f(n−1)\Delta f(n)=f(n)-f(n-1); (4) Cesàro averages over short terminal intervals [N−s(N),N][N-s(N),N] with s(N)⋅Δlog⁡V(N)→∞s(N)\cdot\Delta\log V(N)\to\infty; and (5) uniform log⁡V\log V-weighted averages. When UU and VV belong to the same Hardy field — a field of real functions on a half-line, closed under differentiation modulo eventual equality, whose members are eventually monotone — condition (1.15) reduces to the checkable requirement log⁡U(N)/log⁡V(N)→0\log U(N)/\log V(N)\to 0 (Remark 1.9 and Theorem C).

On the negative side, a classical theorem of Schatte (1990) identifies uniform logarithmic limitability — convergence of the uniform averages with weight W=log⁡W=\log — with the limit of iterated Cesàro means, and Reilly's Example 5.2 exhibits the bounded sequence xn=e2πilog⁡nx_n=e^{2\pi i\log n}, whose uniform logarithmic averages converge to 0 while its Cesàro averages fail to converge; here W=log⁡W=\log lies in F1\mathcal{F}_1 but N⋅ΔW(N)→1N\cdot\Delta W(N)\to 1, so the replacement fails precisely at the boundary of the tempered regime. Bergelson–Moreira–Richter's Remark 1.12 additionally cites, from the ergodic averaging sequences studied by Boshernitzan, Kolesnik, Quas, and Wierdl — sequences (an)(a_n) for which the averages 1N∑n=1Ng∘Tan\frac{1}{N}\sum_{n=1}^{N}g\circ T^{a_n} converge for every system — further failure examples along faster-than-linear functions (their Theorem C concerns the sequences ⌊nk+log⁡n⌋\lfloor n^{k}+\log n\rfloor, logarithmic perturbations of polynomials). What no existing work determines is the exact boundary between the regime N⋅ΔW(N)→∞N\cdot\Delta W(N)\to\infty, where the implication holds, and these known failures.

Problem Statement

Determine a complete classification of the functions f∈Ff\in\mathcal{F} — equivalently, of the weights W=Δℓ−1fW=\Delta^{\ell-1}f for f∈Fℓf\in\mathcal{F}_\ell, which increase to ∞\infty with ΔW\Delta W eventually decreasing to 0 — for which the following implication holds: whenever (xn)(x_n) is a bounded sequence in a Banach space and the uniform WW-weighted averages EunifW(xn)\mathbb{E}_{\mathrm{unif}}^{W}(x_n) converge to LL, the Cesàro averages 1N∑n=1Nxn\frac{1}{N}\sum_{n=1}^{N}x_n also converge to LL. In ergodic terms, this classifies the functions f∈Ff\in\mathcal{F} for which the uniform Riesz means in Theorem D of Bergelson–Moreira–Richter can be replaced by ordinary Cesàro averages.

Reilly's Theorem A establishes sufficiency of the condition N⋅ΔW(N)→∞N\cdot\Delta W(N)\to\infty (with WW increasing to ∞\infty and ΔW\Delta W eventually decreasing to 0), and the known counterexamples show failure in specific regimes: W=log⁡W=\log, where N⋅ΔW(N)→1N\cdot\Delta W(N)\to 1 (Reilly's Example 5.2, via Schatte's theorem), and the faster-than-linear examples cited by Bergelson–Moreira–Richter's Remark 1.12 from Boshernitzan–Kolesnik–Quas–Wierdl's theory of ergodic averaging sequences. The open boundary includes: weights with N⋅ΔW(N)N\cdot\Delta W(N) tending to a finite positive constant or to 0 (for instance W(N)=(log⁡N)αW(N)=(\log N)^{\alpha} with 0<α<10<\alpha<1), and weights for which N⋅ΔW(N)N\cdot\Delta W(N) oscillates.

References

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