2021
DOI: 10.1007/s10955-020-02684-z
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The Multi-species Mean-Field Spin-Glass on the Nishimori Line

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Cited by 20 publications
(27 citation statements)
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“…The proof of Theorem 1 relies on the adaptive interpolation method [8] combined with a concentration result and with the Nishimori identities, that will be presented in the next section. The main difference with the model solved in [2] is that the matrix Δ is not definite, indeed its eigenvalues have alternating signs. This entails that the remainder identified by interpolation has not a definite sign and cannot be discarded a priori at the expense of an inequality.…”
Section: Theorem 1 (Solution Of the Model)mentioning
confidence: 98%
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“…The proof of Theorem 1 relies on the adaptive interpolation method [8] combined with a concentration result and with the Nishimori identities, that will be presented in the next section. The main difference with the model solved in [2] is that the matrix Δ is not definite, indeed its eigenvalues have alternating signs. This entails that the remainder identified by interpolation has not a definite sign and cannot be discarded a priori at the expense of an inequality.…”
Section: Theorem 1 (Solution Of the Model)mentioning
confidence: 98%
“…Secondly, we focus on the properties of the consistency equation obtained from the optimization problem (13) when the matrix Δ is invertible, that is when K is even. The stability of the optimizers of ( 13) is a more delicate problem with respect to the convex multi-species case [2], due to the min-max nature of the variational principle. In the following, given a square matrix A we denote by ρ(A) its spectral radius and by A (eo) the submatrix of A obtained by keeping only even rows and odd columns of A.…”
Section: Theorem 1 (Solution Of the Model)mentioning
confidence: 99%
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