Conjecture on the number of ergodic equilibrium states for singular value potentials

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Let (A1,…,AN)∈GLd(R)(A_1,\ldots,A_N)\in GL_d(\mathbb{R}) and let s∈(0,d)∖Zs\in(0,d)\smallsetminus\mathbb{Z}. For a tuple of matrices, let φs\varphi^s denote Falconer's singular value function, and call an invariant measure an ergodic equilibrium state for φs\varphi^s if it is ergodic and attains the pressure associated with this potential. The ergodic equilibrium-state conjecture. The maximum possible number of ergodic equilibrium states of φs\varphi^s is precisely

(d−⌊s⌋)(d⌊s⌋)=⌈s⌉(d⌈s⌉).(d-\lfloor s\rfloor){d \choose \lfloor s\rfloor}=\lceil s\rceil {d \choose \lceil s\rceil}.

The conjecture seeks the sharp upper bound for the number of ergodic equilibrium states of Falconer's singular value function; the preceding discussion notes that the standard bound is not optimal in dimension three, while the precise maximum in the stated generality remains open.

References

Primary source

Jairo Bochi and Ian D. Morris, “Equilibrium states of generalised singular value potentials and applications to affine iterated function systems”, arXiv:1710.04499 (2018).

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