summaryrefslogtreecommitdiff
diff options
context:
space:
mode:
authorJaron Kent-Dobias <jaron@kent-dobias.com>2022-01-19 13:50:41 +0100
committerJaron Kent-Dobias <jaron@kent-dobias.com>2022-01-19 13:50:41 +0100
commitfa521cbbcf88941adadba4e058474c0bad6c232a (patch)
tree79e11d0f3234ee6bec405b22c10dbaac78231938
parentdf2b81c3737de7553d74613f10cf39c5a045b8d8 (diff)
downloadpaper-fa521cbbcf88941adadba4e058474c0bad6c232a.tar.gz
paper-fa521cbbcf88941adadba4e058474c0bad6c232a.tar.bz2
paper-fa521cbbcf88941adadba4e058474c0bad6c232a.zip
Fixed an incorrect brace.
-rw-r--r--ising_scaling.tex2
1 files changed, 1 insertions, 1 deletions
diff --git a/ising_scaling.tex b/ising_scaling.tex
index ab5ea1b..cbd1945 100644
--- a/ising_scaling.tex
+++ b/ising_scaling.tex
@@ -1204,7 +1204,7 @@ the ratio.
We have introduced explicit approximate functions forms for the two-dimensional
Ising universal scaling function in the relevant variables. These functions are
smooth to all orders, include the correct singularities, and appear to converge
-exponentially to the function as they are fixed to larger polynomial order. The universal scaling function will be available in both Mathematica and Python in the supplemental material. It is implicitly defined by $\mathcal{F}_0$ and $\mathcal{F}_\pm$ in Eq.~\eqref{eq:scaling.function.equivalences.2d}, where $g(\theta}$ is defined in Eq.~\eqref{eq:schofield.funcs}, $\mathcal{F}$ in Eqs.~\eqref{eq:FfromFoFYLG}--\eqref{eq:FYL}, and the fit constants at various levels of approximation are given in Table~\ref{tab:fits}.
+exponentially to the function as they are fixed to larger polynomial order. The universal scaling function will be available in both Mathematica and Python in the supplemental material. It is implicitly defined by $\mathcal{F}_0$ and $\mathcal{F}_\pm$ in Eq.~\eqref{eq:scaling.function.equivalences.2d}, where $g(\theta)$ is defined in Eq.~\eqref{eq:schofield.funcs}, $\mathcal{F}$ in Eqs.~\eqref{eq:FfromFoFYLG}--\eqref{eq:FYL}, and the fit constants at various levels of approximation are given in Table~\ref{tab:fits}.
This method, although spectacularly successful, could be improved. It becomes difficult to fit the
unknown functions at progressively higher order due to the complexity of the