Fix typo

Author: lkdvos

docs/src/examples/classic2d/1.hard-hexagon/index.md

@@ -64,7 +64,7 @@ F = 0.8839037051703857	S = 0.546862287635581	ξ = 13.8496825856899
 
 ## The scaling hypothesis
 
-The dominant eigenvector is of course only an approximation. The finite bond dimension enforces a finite correlation length, which effectively introduces a length scale in the system. This can be exploited to formulate a [pollmann2009](@cite), which in turn allows to extract the central charge.
+The dominant eigenvector is of course only an approximation. The finite bond dimension enforces a finite correlation length, which effectively introduces a length scale in the system. This can be exploited to formulate a scaling hypothesis [pollmann2009](@cite), which in turn allows to extract the central charge.
 
 First we need to know the entropy and correlation length at a bunch of different bond dimensions. Our approach will be to re-use the previous approximated dominant eigenvector, and then expanding its bond dimension and re-running VUMPS.
 According to the scaling hypothesis we should have ``S \propto \frac{c}{6} log(ξ)``. Therefore we should find ``c`` using

docs/src/examples/classic2d/1.hard-hexagon/main.ipynb

@@ -86,7 +86,7 @@
    "source": [
     "## The scaling hypothesis\n",
     "\n",
-    "The dominant eigenvector is of course only an approximation. The finite bond dimension enforces a finite correlation length, which effectively introduces a length scale in the system. This can be exploited to formulate a [pollmann2009](@cite), which in turn allows to extract the central charge.\n",
+    "The dominant eigenvector is of course only an approximation. The finite bond dimension enforces a finite correlation length, which effectively introduces a length scale in the system. This can be exploited to formulate a scaling hypothesis [pollmann2009](@cite), which in turn allows to extract the central charge.\n",
     "\n",
     "First we need to know the entropy and correlation length at a bunch of different bond dimensions. Our approach will be to re-use the previous approximated dominant eigenvector, and then expanding its bond dimension and re-running VUMPS.\n",
     "According to the scaling hypothesis we should have $S \\propto \\frac{c}{6} log(ξ)$. Therefore we should find $c$ using"

examples/classic2d/1.hard-hexagon/main.jl

@@ -51,7 +51,7 @@ println("F = $F\tS = $S\tξ = $ξ")
 md"""
 ## The scaling hypothesis
 
-The dominant eigenvector is of course only an approximation. The finite bond dimension enforces a finite correlation length, which effectively introduces a length scale in the system. This can be exploited to formulate a [pollmann2009](@cite), which in turn allows to extract the central charge.
+The dominant eigenvector is of course only an approximation. The finite bond dimension enforces a finite correlation length, which effectively introduces a length scale in the system. This can be exploited to formulate a scaling hypothesis [pollmann2009](@cite), which in turn allows to extract the central charge.
 
 First we need to know the entropy and correlation length at a bunch of different bond dimensions. Our approach will be to re-use the previous approximated dominant eigenvector, and then expanding its bond dimension and re-running VUMPS.
 According to the scaling hypothesis we should have ``S \propto \frac{c}{6} log(ξ)``. Therefore we should find ``c`` using