From 075968fa95bd2ba34f14e52b0671ae558cd45ce9 Mon Sep 17 00:00:00 2001
From: "kurchan.jorge" <kurchan.jorge@gmail.com>
Date: Mon, 7 Dec 2020 16:02:07 +0000
Subject: Update on Overleaf.

---
 bezout.tex | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

(limited to 'bezout.tex')

diff --git a/bezout.tex b/bezout.tex
index 573fe90..a29cd4b 100644
--- a/bezout.tex
+++ b/bezout.tex
@@ -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 property 
+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
 
 }
 
-- 
cgit v1.2.3-54-g00ecf

