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author | Jaron Kent-Dobias <jaron@kent-dobias.com> | 2018-02-22 16:08:26 -0500 |
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committer | Jaron Kent-Dobias <jaron@kent-dobias.com> | 2018-02-22 16:08:26 -0500 |
commit | 8c007b686a12321924a784d12f63a24ca6d47f3a (patch) | |
tree | a4e953c7e889e173254bad2225b8c54df7fb13ff | |
parent | c18f9d42678b357247e293d70ac961cfbfc58989 (diff) | |
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new slides
-rw-r--r-- | aps_mm_2018.html | 41 | ||||
-rw-r--r-- | aps_mm_2018.tex | 2 | ||||
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-rw-r--r-- | figs/autocorr-scaling-temp.png | bin | 0 -> 72670 bytes | |||
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13 files changed, 1652 insertions, 8 deletions
diff --git a/aps_mm_2018.html b/aps_mm_2018.html index 8412808..b9746c1 100644 --- a/aps_mm_2018.html +++ b/aps_mm_2018.html @@ -39,12 +39,12 @@ Described by Hamiltonians $$\mathcal H=-\sum_{\langle ij\rangle}Z(s_i,s_j)-\sum_iH(s_i)$$ -for \\(Z\\) invariant under rotations \\(R\\): \\(Z(R(s),R(t))=Z(s,t)\\). +for \\(Z\\) invariant under rotations \\(r\\): \\(Z(r(s),r(t))=Z(s,t)\\). <table style="border-collapse: collapse; table-layout: fixed; width: 80%; margin: auto;"> <thead style="border-bottom: 2px solid #000;"> <tr> - <td class="first"></td><td>\(s\)<td>\(R\)</td><td>\(Z(s_i,s_j)\)</td><td>\(H(s)\)</td> + <td class="first"></td><td>\(s\)<td>\(r\)</td><td>\(Z(s_i,s_j)\)</td><td>\(H(s)\)</td> </tr> </thead> <tbody> @@ -58,7 +58,7 @@ for \\(Z\\) invariant under rotations \\(R\\): \\(Z(R(s),R(t))=Z(s,t)\\). <td class="first">Potts model</td><td>\(\mathbb Z/q\mathbb Z\)</td><td>addition mod \(q\)</td><td>\(\delta(s_i,s_j)\)</td><td>\(\sum_iH_i\delta(i,s)\)</td> </tr> <tr> - <td class="first">Clock model</td><td>\(\mathbb Z/q\mathbb Z\)</td><td>addition mod \(q\)</td><td>\(\cos(2\pi\frac{s_i-s_j}q)\)</td><td>\(\sum_iH_i\cos(2\pi\frac{s-i}q)\)</td> + <td class="first">Clock model</td><td>ℤ/<i>q</i>ℤ</td><td>addition mod \(q\)</td><td>\(\cos(2\pi\frac{s_i-s_j}q)\)</td><td>\(\sum_iH_i\cos(2\pi\frac{s-i}q)\)</td> </tr> </tbody> </table> @@ -76,14 +76,14 @@ class: split-40 Standard approach to modelling arbitrary stat mech system: metropolis. 1. Pick random spin. - 2. Pick random rotation \\(R\\). + 2. Pick random rotation \\(r\\). 3. Compute change in energy \\(\Delta\mathcal H\\) resulting from taking \\(s\\) to \\(R(s)\\). 4. Take \\(s\\) to \\(R(s)\\) with probability \\(\max\\{1,e^{-\beta\Delta\mathcal H}\\}\\). Problem: Scales very poorly near phase transitions. -Correlation time `\(\tau\sim L^z\)` at critical point, `\(\tau\sim t^{-z/\nu}\)` +Correlation time *τ* at critical point, *t* <sup>– *z/ν*</sup> `\(\tau\sim t^{-z/\nu}\)` approaching it. `\(z\)` takes large integer values for Ising, order-`\(n\)`, Potts model critical @@ -104,11 +104,11 @@ class: split-40 1. Pick random spin, add to cluster. 2. Pick random rotation `\(R\)`. 3. For every neighboring spin, add to cluster with probability - `\(\min\{0,1-e^{-\beta(Z(R(s),t)-Z(R(s),R(t)))}\}\)`. + `\(\min\{0,1-e^{-\beta(Z(R(s),R(t))-Z(R(s),t))}\}\)`. 4. Repeat 3 for every spin added to cluster. 5. Transform entire cluster with rotation `\(R\)`. -Relies on symmetry of `\(Z\)` +Relies on symmetry of *Z* Fast near the critical point: early studies thought `\(z\)` was zero, actually 0.1–0.4. @@ -152,6 +152,33 @@ Fast near the critical point: early studies thought `\(z\)` was zero, actually ![scoop details](figs/wolff-scoop_explanation.png) +--- + +# Why is the extended method useful? + +<img src="figs/vector-1.svg" alt="order-n" style="float: left;"/> +<img src="figs/vector-2.svg" alt="order-n" style="float: right;"/> +<span style="font-size: 40pt; overflow: hidden; height: 6.5em; text-align: center; align-items: center; display: inline-flex; position: static; float: center"> <i>R</i> <br>→</span> + +--- + +# Why is the extended method useful? + +<img src="figs/potts.svg" alt="order-n"/> + +--- + +# Correlation time scaling + +Correlation time scales consistently in the whole phase space! + +<img src="figs/autocorr-scaling-isotherm.png" style="float: left; width: 48%" /> +<img src="figs/autocorr-scaling-temp.png" style="float: right; width: 48%" /> + +--- + +# Metastable state direct measurement + </textarea> <script src="https://remarkjs.com/downloads/remark-latest.min.js"> </script> diff --git a/aps_mm_2018.tex b/aps_mm_2018.tex index 34e9114..d607d76 100644 --- a/aps_mm_2018.tex +++ b/aps_mm_2018.tex @@ -86,7 +86,7 @@ Problem: Scales very poorly near phase transitions. - Correlation time $\tau\sim L^z$ at critical point, $\tau\sim t^{-z/\nu}$ + Correlation time τ at critical point, $\tau\sim t^{-z/\nu}$ approaching it. $z$ takes large integer values for Ising, order-$n$, Potts model critical diff --git a/figs/autocorr-scaling-isotherm.png b/figs/autocorr-scaling-isotherm.png Binary files differnew file mode 100644 index 0000000..63ff52f --- /dev/null +++ b/figs/autocorr-scaling-isotherm.png diff --git a/figs/autocorr-scaling-temp.png b/figs/autocorr-scaling-temp.png Binary files differnew file mode 100644 index 0000000..933a446 --- /dev/null +++ b/figs/autocorr-scaling-temp.png diff --git a/figs/potts.pdf b/figs/potts.pdf Binary files differnew file mode 100644 index 0000000..ecf221a --- /dev/null +++ b/figs/potts.pdf diff --git a/figs/potts.svg b/figs/potts.svg new file mode 100644 index 0000000..50be7a5 --- /dev/null +++ b/figs/potts.svg @@ -0,0 +1,683 @@ +<?xml version="1.0" encoding="UTF-8"?> +<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="396pt" height="325pt" viewBox="0 0 396 325" version="1.1"> +<g id="surface19"> +<path style="fill:none;stroke-width:2;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:3.25;" d="M 6.378906 304.652344 L 6.378906 301.4375 "/> +<path style="fill-rule:nonzero;fill:rgb(0%,0%,0%);fill-opacity:1;stroke-width:0.03;stroke-linecap:square;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:3.25;" d="M 3.863281 302.320312 L 4.148438 302.179688 L 4.835938 301.875 L 5.25 301.710938 L 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