Math-1967 · mathematics · Dynamical systems

Math-1967

Multiple ergodic averages — Problem 2

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Statement

Definitions and mathematical statement

Throughout, a probability-preserving transformation is an invertible measurable map of a probability space which preserves its measure. For a bounded measurable function $g$, write $T^ng=g\circ T^n$. Let $\mathcal C_{T,S}$ be the collection of all complex sequences $c:\mathbb N\to\mathbb C$ representable as \[ c(n)=\int_X f\,(g\circ T^n)\,(h\circ S^n)\,d\mu, \] where the probability space $(X,\mathcal B,\mu)$, commuting probability-preserving transformations $T,S$, and functions $f,g,h\in L^\infty(\mu)$ may vary.

Define $\mathcal C_T$ by allowing the same representations but requiring $T=R^a$ and $S=R^b$ for one invertible probability-preserving transformation $R$ and integers $a,b$. The problem is to prove $\mathcal C_{T,S}=\mathcal C_T$, or to exhibit a sequence in the first collection outside the second.

Thus for every particular representation using a commuting pair, one must find some probability space, one transformation $R$, integers $a,b$, and three bounded functions whose integrals equal $c(n)$ for every $n\ge1$. The new system and functions need not arise as factors or extensions of the original ones. No ergodicity assumption is imposed in either collection. Equality means exact equality of sequences, without discarding a zero-density set of indices or adding an error which vanishes in Cesàro mean. The reverse inclusion follows directly from commutation of powers; the requested content is the other direction.

Short English statement

Can every double correlation sequence from two commuting transformations be realized exactly using powers of a single transformation?

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