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Commit 4db599e4 authored by patavirt's avatar patavirt
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......@@ -20,14 +20,8 @@ and $h$ are the lattice spacings. See the figure below:
![Lattice discretization](img/discretization.svg "FIG 1. Lattice discretization.")
We choose $`Q(j) = Q(\vec{r}_j)`$ to be values of $`Q`$ at the lattice
sites. We define the Wilson link matrices
$`U_{ij}
=U_{ji}^{-1}
=U(\vec{r}_{i},\vec{r}_{j})
=
\mathrm{Pexp}[i\int_{L(\vec{r}_i,\vec{r}_j)}d\vec{r}'\,\cdot\vec{\mathcal{A}}(\vec{r}')]
`$
We choose $`Q(j) = Q(\vec{r}_j)`$ to be values of $`Q`$ at the lattice sites. We define the Wilson link matrices
$`U_{ij} =U_{ji}^{-1} =U(\vec{r}_{i},\vec{r}_{j}) = \mathrm{Pexp}[i\int_{L(\vec{r}_i,\vec{r}_j)}d\vec{r}'\,\cdot\vec{\mathcal{A}}(\vec{r}')]`$
where $`L(\vec{r}_i,\vec{r}_j)`$ is straight line from $`\vec{r}_j`$ to
$`\vec{r}_i`$ and $`\mathrm{Pexp}`$ is the path-ordered integral.
The neighbor cells of $`j`$ are $`i\in{}\mathrm{neigh}(j)`$
......@@ -66,7 +60,7 @@ D
```
where $`d`$ is the space dimension.
Expanding in small $h$ we have
Expanding in small $`h`$ we have
```math
S_2
\simeq
......@@ -130,7 +124,7 @@ which then allows expressing $`F_{ij}`$ in terms of the link matrices.
## Hall term
When discretizing the $Q\hat{\nabla}_iQ\hat{\nabla}_jQ$ part, we can
When discretizing the $`Q\hat{\nabla}_iQ\hat{\nabla}_jQ`$ part, we can
consider a discrete derivative
```math
D_{ij}
......@@ -160,13 +154,13 @@ have
\mathrm{tr}
(U_{lk} U_{kj} - U_{li} U_{ij}) D_{ji} Q(i) D_{il}
```
So the structure is $\frac{-i}{h^4}$ $\times$ (gauge factors for
counterclockwise loop $-$ return back clockwise) $\times$ $DQD$ for
three sites in counterclockwise order. Since only $Q(i)$, $Q(j)$,
$Q(l)$ appear here, one can also think of this as a plaquette corner
with $Q(i)$ being the corner.
So the structure is $`\frac{-i}{h^4}`$ $`\times`$ (gauge factors for
counterclockwise loop $`-`$ return back clockwise) $`\times`$ $`DQD`$ for
three sites in counterclockwise order. Since only $`Q(i)`$, $`Q(j)`$,
$`Q(l)`$ appear here, one can also think of this as a plaquette corner
with $`Q(i)`$ being the corner.
To do the sum over the $\mu$, $\nu$ indices, one can average over
To do the sum over the $`\mu`$, $`\nu`$ indices, one can average over
corners of the plaquettes as follows, which gives the final discretization
of the Hall term:
```math
......@@ -197,7 +191,7 @@ of the Hall term:
\Bigr)
\,,
```
where $\mathrm{plaqc}(i;jkl)$ are the plaquette corners. The last line
where $`\mathrm{plaqc}(i;jkl)`$ are the plaquette corners. The last line
follows with direct calculation, and considering the cyclic
permutations.
......@@ -224,7 +218,7 @@ We can also calculate the matrix current $j\mapsto{}i$ between neighboring cells
]\rvert_{\xi=0}
```
%
where $T^a$ is an appropriate matrix generator, and the transformation
where $`T^a`$ is an appropriate matrix generator, and the transformation
is inserted only to one of the links.
The local gauge invariance now implies that there is an exact discrete
......@@ -248,11 +242,13 @@ However, the definition of the matrix current is \emph{asymmetric}, so
that $`J_{ij}\ne{}-J_{ji}`$ as they differ by a quantity of order
$`\mathcal{O}(h^2)`$. The asymmetry arises when $`T^a`$ does not commute
with $`U_{ij}`$, so it is an issue only for the SU(2) component. The
problem is to some degree just in the interpretation of what $J_{ij}$
means: it is the incoming current measured at site $`i`$, whereas
problem is to some degree just in the interpretation of what $`J_{ij}`$
means:
It is the incoming current measured at site $`i`$, whereas
$`J_{ji}`$ is measured as site $`j`$. Since the parallel transport of
spin between these two locations can imply rotation due to the gauge
field, there's no reason why we should have $`J_{ij} = -J_{ji}`$, except
field, there's no reason why we should have $`J_{ij}=-J_{ji}`$, except
in the continuum limit where the two points become close to each
other.
......@@ -261,10 +257,10 @@ other.
The above is sufficient for numerical implementation: it is not
necessary to find out the saddle point equation symbolically. It can
be deduced by parametrizing first so that $Q^2=1$ and then using
be deduced by parametrizing first so that $`Q^2=1`$ and then using
automatic differentiation (AD). Only a routine evaluating the value of
the action is then needed, in terms of the AD dual variables.
When looking for the saddle point in equilibrium, the problem becomes
even simpler; $Q$ has then additional restrictions, and we are looking
for the minimum of the free energy $S$.
even simpler; $`Q`$ has then additional restrictions, and we are looking
for the minimum of the free energy $`S`$.
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