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| Format: | Preprint |
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2026
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| Online Access: | https://arxiv.org/abs/2605.19785 |
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| _version_ | 1866917511164854272 |
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| author | Zhenpeng, LI |
| author_facet | Zhenpeng, LI |
| contents | Infinite persistence marks the topological transition. For finite persistence, the canyon-finding rate Gamma(tau_p) on the p=2 spherical spin glass forms an inverted-U profile, peaking at an optimal tau_p^*. At low temperature (T=0.05), tau_p^* drops from 10 to 5 as N increases through 128, marking the discrete-to-quasi-continuous GOE crossover. For N=1024, the peak is flat between tau_p=5 and 6 within statistical uncertainties, preventing a more precise determination. For N>=128, the canyon width saturates at xi_eff=1, consistent with the measured tau_p^*=5 when beta=0.4. At higher temperatures (T>=0.15), tau_p^*=10 and beta(T) scales as 1/T, with temperature dependence entering only through v_th = sqrt(2T). For T=0.10 and N>=128, high-resolution scans give tau_p^*=8.0; for N<=64 at the same temperature, coarse scans place tau_p^* in the range 8-10. Thus, optimal persistence reveals the hidden topology of the landscape-a principle expected to be generic in disordered landscapes with entropic bottlenecks. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2605_19785 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Optimal Persistence Reveals Hidden Topology in Complex Energy Landscapes Zhenpeng, LI Disordered Systems and Neural Networks 82B44, 60B20, 82C31 Infinite persistence marks the topological transition. For finite persistence, the canyon-finding rate Gamma(tau_p) on the p=2 spherical spin glass forms an inverted-U profile, peaking at an optimal tau_p^*. At low temperature (T=0.05), tau_p^* drops from 10 to 5 as N increases through 128, marking the discrete-to-quasi-continuous GOE crossover. For N=1024, the peak is flat between tau_p=5 and 6 within statistical uncertainties, preventing a more precise determination. For N>=128, the canyon width saturates at xi_eff=1, consistent with the measured tau_p^*=5 when beta=0.4. At higher temperatures (T>=0.15), tau_p^*=10 and beta(T) scales as 1/T, with temperature dependence entering only through v_th = sqrt(2T). For T=0.10 and N>=128, high-resolution scans give tau_p^*=8.0; for N<=64 at the same temperature, coarse scans place tau_p^* in the range 8-10. Thus, optimal persistence reveals the hidden topology of the landscape-a principle expected to be generic in disordered landscapes with entropic bottlenecks. |
| title | Optimal Persistence Reveals Hidden Topology in Complex Energy Landscapes |
| topic | Disordered Systems and Neural Networks 82B44, 60B20, 82C31 |
| url | https://arxiv.org/abs/2605.19785 |