Exact results for spin glass criticality
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arXiv
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866916819054362624 |
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| author | Delfino, Gesualdo |
| author_facet | Delfino, Gesualdo |
| contents | In recent years scale invariant scattering theory provided the first exact access to the magnetic critical properties of two-dimensional statistical systems with quenched disorder. We show how the theory extends to the overlap variables entering the characterization of spin glass properties. The resulting exact fixed point equations yield both the magnetic and, for the first time, the spin glass renormalization group fixed points. For the case of the random bond Ising model, on which we focus, the spin glass subspace of solutions is found to contain a line of fixed points. We discuss the implications of the results for Ising spin glass criticality and compare with the available numerical results. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2504_05842 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Exact results for spin glass criticality Delfino, Gesualdo Statistical Mechanics Disordered Systems and Neural Networks High Energy Physics - Theory Mathematical Physics In recent years scale invariant scattering theory provided the first exact access to the magnetic critical properties of two-dimensional statistical systems with quenched disorder. We show how the theory extends to the overlap variables entering the characterization of spin glass properties. The resulting exact fixed point equations yield both the magnetic and, for the first time, the spin glass renormalization group fixed points. For the case of the random bond Ising model, on which we focus, the spin glass subspace of solutions is found to contain a line of fixed points. We discuss the implications of the results for Ising spin glass criticality and compare with the available numerical results. |
| title | Exact results for spin glass criticality |
| topic | Statistical Mechanics Disordered Systems and Neural Networks High Energy Physics - Theory Mathematical Physics |
| url | https://arxiv.org/abs/2504.05842 |