Generic random groups at extremely low density have a unique entropy-minimizing normalized weight, which is nearly uniform.
Marked length spectrum rigidity from rigidity on subsets
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abstract
We introduce a new method for studying length spectrum rigidity problems based on a combination of ideas from dynamical systems and geometric group theory. This allows us to compare the marked length spectrum of metrics and distance-like functions coming from various geometric origins. Using our new perspective, we provide concise proofs of well-known length spectrum rigidity results and are able to extend classical results to a variety of new settings. Our methods rely on studying Manhattan curves and a coarse geometric analogue of Teichm\"uller space equipped with a symmetrized version of the Thurston metric.
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math.GR 1years
2025 1verdicts
ACCEPT 1representative citing papers
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Volume Entropy Rigidity for Random Groups at Low Densities
Generic random groups at extremely low density have a unique entropy-minimizing normalized weight, which is nearly uniform.