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Classification and statistics of cut-and-project sets

By Barak Weiss

We introduce a class of so-called "Ratner-Marklof-Strombergsson measures". These are probability measures supported on cut-and-project sets in Euclidean space of dimension d>1 which are invariant and ergodic for the action of the groups ASL_d(R) or SL_d(R) (affine or linear maps preserving orientation and volume). We classify the measures that can arise in terms of algebraic groups and homogeneous dynamics. Using the classification, we prove analogues of results of Siegel, Weil and Rogers about a Siegel summation formula and identities and bounds involving higher moments. We deduce results about asymptotics, with error estimates, of point-counting and patchcounting for typical cut-and-project sets. Joint work with Rene Ruehr and Yotam Smilansky.

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  • DOI 10.24350/CIRM.V.19690003
  • Cite this video Weiss, Barak (23/11/2020). Classification and statistics of cut-and-project sets. CIRM. Audiovisual resource. DOI: 10.24350/CIRM.V.19690003
  • URL https://dx.doi.org/10.24350/CIRM.V.19690003

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