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author | Jaron Kent-Dobias <jaron@kent-dobias.com> | 2020-12-07 17:02:21 +0100 |
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committer | Jaron Kent-Dobias <jaron@kent-dobias.com> | 2020-12-07 17:02:21 +0100 |
commit | 6036c33494ad5a6c75a74831e6ee56add4ad30c9 (patch) | |
tree | f612b79458c338c925f7757736de594e5fef5dd6 | |
parent | fbb4ec482ce847c6590a98876e9df63a4e3a8283 (diff) | |
parent | 075968fa95bd2ba34f14e52b0671ae558cd45ce9 (diff) | |
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Merge branch 'master' of https://git.overleaf.com/5fcce4736e7f601ffb7e1484
-rw-r--r-- | bezout.tex | 3 |
1 files changed, 2 insertions, 1 deletions
@@ -96,7 +96,8 @@ $N \Sigma= \overline{\ln \mathcal N_J} = \int dJ \; \ln N_J$, a calculation that involves the replica trick. In most, but not all, of the parameter-space that we shall study here, the {\em annealed approximation} $N \Sigma \sim \ln \overline{ \mathcal N_J} = \ln \int dJ \; N_J$ is exact. -A useful propert +A useful property of the Gaussian distributions is that gradient and Hessian may be seen to be independent \cite{BrayDean,Fyodorov}, +so that we may treat the delta-functions and the hessians as independent } |