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author | kurchan.jorge <kurchan.jorge@gmail.com> | 2020-12-07 16:00:35 +0000 |
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committer | overleaf <overleaf@localhost> | 2020-12-07 16:00:36 +0000 |
commit | e173cb736bc07937d61564f303eab5d0b60f62ed (patch) | |
tree | 7c742ba7889e626b0ece6dcd8a8973a0ef6983a6 | |
parent | 7e417877bddd64ddbe2ea897691337a6e564347c (diff) | |
download | PRR_3_023064-e173cb736bc07937d61564f303eab5d0b60f62ed.tar.gz PRR_3_023064-e173cb736bc07937d61564f303eab5d0b60f62ed.tar.bz2 PRR_3_023064-e173cb736bc07937d61564f303eab5d0b60f62ed.zip |
Update on Overleaf.
-rw-r--r-- | bezout.tex | 11 |
1 files changed, 8 insertions, 3 deletions
@@ -91,9 +91,14 @@ points it has is given by the usual Kac--Rice formula: \partial_y\partial_x\mathop{\mathrm{Re}}H & \partial_y\partial_y\mathop{\mathrm{Re}}H \end{bmatrix}\right|. \end{equation} -This expression is to be averaged over the $J$'s as -$\Sigma= -\overline{\ln \mathcal N_J} = \int dJ \; \ln N_J$, a calculation that involves the replica trick. In most of +{\color{red} {\bf perhaps not here} This expression is to be averaged over the $J$'s as +$N \Sigma= +\overline{\ln \mathcal N_J} = \int dJ \; \ln N_J$, 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 + +} The Cauchy--Riemann relations imply that the matrix is of the form: \begin{equation} \label{eq:real.kac-rice1} |