2022
DOI: 10.1214/22-ejp780
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Free energy in multi-species mixed p-spin spherical models

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Cited by 14 publications
(4 citation statements)
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“…We emphasize that algorithmic symmetry breaking is not a barrier to any algorithm, as the optimal (p, Φ, q 0 ) for the variational principle needs to be computed only once. Moreover ξ is convex in the examples shown in Figure 2, so algorithmic symmetry breaking is not related to the failure of the interpolation method to determine the free energy (obtained for convex ξ in [BS22]).…”
Section: Non-uniqueness Of Maximizers and Algorithmic Symmetry Breakingmentioning
confidence: 99%
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“…We emphasize that algorithmic symmetry breaking is not a barrier to any algorithm, as the optimal (p, Φ, q 0 ) for the variational principle needs to be computed only once. Moreover ξ is convex in the examples shown in Figure 2, so algorithmic symmetry breaking is not related to the failure of the interpolation method to determine the free energy (obtained for convex ξ in [BS22]).…”
Section: Non-uniqueness Of Maximizers and Algorithmic Symmetry Breakingmentioning
confidence: 99%
“…It was later studied further in [KS85,FKS87a,FKS87b]. Recent rigorous results on the free energy include [BCMT15,Pan15,Sub21b,BS22]. While the analogous lower bound to the Parisi formula applies in general with a similar proof, the upper bound is only known in two non-trivial special cases: models where ξ is convex in the positive orthant, and pure models (assuming the N → ∞ limit exists in the latter case).…”
Section: Other Related Workmentioning
confidence: 99%
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“…After Mourrat's interpretation of the Parisi formula as the Hopf-Lax formula for a Hamilton-Jacobi equation [15], the formula was extended for enriched models [18]. For spherical spins, the Parisi formula was proven for the SK model [29], the mixed p-spin model [8], and the multi-species model [4]. Since we have assumed that P N is a product measure, the most relevant works are [19,24,25,18].…”
Section: Introductionmentioning
confidence: 99%