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| author | Jaron Kent-Dobias <jaron@kent-dobias.com> | 2022-06-30 22:03:29 +0200 |
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| committer | Jaron Kent-Dobias <jaron@kent-dobias.com> | 2022-06-30 22:03:29 +0200 |
| commit | 3d68941d5ee11aa96cce7946da2b15025b83154f (patch) | |
| tree | 1463fd11fb55b93c232788c189ac231b89f0c7af /frsb_kac-rice.tex | |
| parent | a7389678131fcf40a72b065fbc183f9bca1a5fd9 (diff) | |
| download | PRE_107_064111-3d68941d5ee11aa96cce7946da2b15025b83154f.tar.gz PRE_107_064111-3d68941d5ee11aa96cce7946da2b15025b83154f.tar.bz2 PRE_107_064111-3d68941d5ee11aa96cce7946da2b15025b83154f.zip | |
Removed sentence with bad link.
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| -rw-r--r-- | frsb_kac-rice.tex | 1 |
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diff --git a/frsb_kac-rice.tex b/frsb_kac-rice.tex index 42c5696..52e65bd 100644 --- a/frsb_kac-rice.tex +++ b/frsb_kac-rice.tex @@ -788,7 +788,6 @@ However, our ansatz tells us something of the actual organization of the lowest \section{Conclusion} We have constructed a replica solution for the general problem of finding saddles of random mean-field landscapes, including systems with many steps of RSB. -The main results of this paper are the ansatz (\ref{ansatz}) and the check that the lowest energy is the correct one obtained with the usual Parisi ansatz. For systems with full RSB, we find that minima are, at all energy densities above the ground state, exponentially subdominant with respect to saddles. The solution contains valuable geometric information that has yet to be extracted in all detail. |