Math-1969 · mathematics · Dynamical systems

Math-1969

Multiple ergodic averages — Problem 6

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Statement

Definitions and mathematical statement

Let $a:\mathbb N\to\mathbb Z$ be an arbitrary sequence. Say that it is good for two-fold convergence of powers if for every probability space $(X,\mathcal B,\mu)$, every invertible measure-preserving transformation $R$, every pair of integers $r,s$, and every $f,g\in L^\infty(\mu)$, the averages \[ \frac1N\sum_{n=1}^N (f\circ R^{r a(n)})(g\circ R^{s a(n)}) \] converge in the norm of $L^2(\mu)$ as $N\to\infty$. Integer powers, including negative and zero powers, use invertibility and the identity convention $R^0=\mathrm{id}$.

Prove that this hypothesis implies two-fold convergence for commuting transformations: for every probability space, every commuting invertible measure-preserving $T,S$, and every bounded $f,g$, the averages \[ \frac1N\sum_{n=1}^N (f\circ T^{a(n)})(g\circ S^{a(n)}) \] converge in $L^2(\mu)$.

No ergodicity, mixing, growth, monotonicity, or distinctness assumption is made on the sequence or the transformations. The limits may depend on the system and functions; no particular limit formula is required. The hypothesis must hold universally over all single transformations and all integer pairs, rather than just for the pair of powers $R,R^2$. Commuting convergence immediately implies the hypothesis by choosing $T=R^r$, $S=R^s$; the question asks whether this necessary condition is also sufficient.

Short English statement

Does universal mean convergence along powers of one transformation already imply mean convergence for any commuting pair?

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