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| author | kurchan.jorge <kurchan.jorge@gmail.com> | 2020-12-07 16:02:24 +0000 |
|---|---|---|
| committer | overleaf <overleaf@localhost> | 2020-12-07 16:05:08 +0000 |
| commit | 49d14a6f8aaf2ebe7a254d2990ebf177a5d83992 (patch) | |
| tree | ba3fe42123e16428ccfce09c6a00ea279399283f | |
| parent | 075968fa95bd2ba34f14e52b0671ae558cd45ce9 (diff) | |
| download | PRR_3_023064-49d14a6f8aaf2ebe7a254d2990ebf177a5d83992.tar.gz PRR_3_023064-49d14a6f8aaf2ebe7a254d2990ebf177a5d83992.tar.bz2 PRR_3_023064-49d14a6f8aaf2ebe7a254d2990ebf177a5d83992.zip | |
Update on Overleaf.
| -rw-r--r-- | bezout.tex | 2 |
1 files changed, 1 insertions, 1 deletions
@@ -97,7 +97,7 @@ $N \Sigma= \ln \overline{ \mathcal N_J} = \ln \int dJ \; N_J$ is exact. 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 +so that we may treat the delta-functions and the Hessians as independent. } |