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Location: AENC/switchchain/triangle_etmt_plots.m - annotation
4b6c189e4ae4
3.6 KiB
application/vnd.wolfram.mathematica.package
Add mixing time analysis using exponential fits
49fd15989dac 49fd15989dac 49fd15989dac 49fd15989dac 49fd15989dac c9c22e41130d 49fd15989dac 49fd15989dac 49fd15989dac 49fd15989dac 49fd15989dac 49fd15989dac 49fd15989dac 49fd15989dac 49fd15989dac 49fd15989dac c9c22e41130d 49fd15989dac 49fd15989dac 49fd15989dac 49fd15989dac c9c22e41130d c9c22e41130d c9c22e41130d c9c22e41130d c9c22e41130d 49fd15989dac 49fd15989dac 49fd15989dac c9c22e41130d c9c22e41130d c9c22e41130d c9c22e41130d c9c22e41130d c9c22e41130d c9c22e41130d c9c22e41130d c9c22e41130d c9c22e41130d c9c22e41130d c9c22e41130d 49fd15989dac 49fd15989dac c9c22e41130d 49fd15989dac 49fd15989dac 49fd15989dac 49fd15989dac 49fd15989dac 49fd15989dac 49fd15989dac 49fd15989dac 49fd15989dac 49fd15989dac 49fd15989dac 49fd15989dac 49fd15989dac 49fd15989dac c9c22e41130d 49fd15989dac 49fd15989dac c9c22e41130d c9c22e41130d c9c22e41130d 49fd15989dac 49fd15989dac 49fd15989dac 49fd15989dac c9c22e41130d c9c22e41130d 49fd15989dac 49fd15989dac 49fd15989dac 49fd15989dac c9c22e41130d c9c22e41130d 49fd15989dac 49fd15989dac 49fd15989dac c9c22e41130d c9c22e41130d c9c22e41130d c9c22e41130d c9c22e41130d c9c22e41130d c9c22e41130d c9c22e41130d c9c22e41130d c9c22e41130d c9c22e41130d c9c22e41130d c9c22e41130d | (* ::Package:: *)
Needs["ErrorBarPlots`"]
gsraw=Import[NotebookDirectory[]<>"data/graphdata_etmt.m"];
(* gsraw=SortBy[gsraw,{#[[1,1]]&,#[[1,2]]&}]; (* Sort by n and then by tau. The {} forces a *stable* sort because otherwise Mathematica sorts also on triangle count and other things. *) *)
gdata=GatherBy[gsraw,{#[[1,2]]&,#[[1,1]]&}];
(* Data format: *)
(* gdata[[ tau index, n index, run index , datatype index ]] *)
(* datatype index:
1: {n,tau}
2: etmt
*)
tauvalues=gdata[[All,1,1,1,2]];
nlabels=Map["n = "<>ToString[#]&,gdata[[1,All,1,1,1]]];
taulabels=Map["\[Tau] = "<>ToString[#]&,gdata[[All,1,1,1,2]]];
etmtMean=Map[Mean[N[#[[All,2]]]]&,gdata,{2}];
etmtSD=Map[StandardDeviation[N[#[[All,2]]]]&,gdata,{2}];
etmtQuantile=Map[Quantile[#[[All,2]],99/100]&,gdata,{2}];
histograms=Map[Histogram[#[[All,2]]]&,gdata,{2}];
histogramsWithLines=MapIndexed[
Histogram[#[[All,2]],PlotRange->All,
Epilog->Line[{
{{etmtMean[[#2/.List->Sequence]],0},
{etmtMean[[#2/.List->Sequence]],500}},
{{etmtMean[[#2/.List->Sequence]]+etmtSD[[#2/.List->Sequence]],0},
{etmtMean[[#2/.List->Sequence]]+etmtSD[[#2/.List->Sequence]],500}},
{{etmtQuantile[[#2/.List->Sequence]],0},
{etmtQuantile[[#2/.List->Sequence]],500}}
}]
]
&,gdata,{2}];
TableForm[histogramsWithLines,TableHeadings->{taulabels,nlabels}]
gdataSwitched=Transpose[gdata];
tauChoices={1,3,5,7,9};
combiHistograms=Map[SmoothHistogram[#[[tauChoices,All,2]],PlotRange->All,PlotLegends->taulabels[[tauChoices]],PlotLabel->"n = "<>ToString[#[[1,1,1,1]]]]&,gdataSwitched,{1}];
combiHistograms[[9]]
Export[NotebookDirectory[]<>"plots/ETMTdistribution.pdf",combiHistograms[[9]]]
mixingTimesBars=Map[{{#[[1,1,1]],Mean[#[[All,2]]]},ErrorBar[StandardDeviation[#[[All,2]]]]}&,gdata,{2}];
mixingTimesQuantiles=Map[{#[[1,1,1]],Quantile[#[[All,2]],99/100]}&,gdata,{2}];
plot1=ErrorListPlot[mixingTimesBars[[{1,2,3,5,8}]],Joined->True,PlotMarkers->Automatic,Frame->True,FrameLabel->{"n","ETMT"},PlotLegends->taulabels];
plot2=ListPlot[mixingTimesQuantiles[[{1,2,3,5,8}]],Joined->True,PlotMarkers->Automatic,Frame->True,FrameLabel->{"n","ETMT"},PlotLegends->taulabels];
Show[plot2,plot1]
mixingTimesDivN=Map[{#[[1,1]],#[[1,2]]/(#[[1,1]])}&,mixingTimesBars,{2}];
mixingTimesDivNlogN=Map[{#[[1,1]],#[[1,2]]/(#[[1,1]]*Log[#[[1,1]]])}&,mixingTimesBars,{2}];
etmtQuantileDivN=Map[{#[[1]],#[[2]]/(#[[1]])}&,mixingTimesQuantiles,{2}];
etmtQuantileDivNlogN=Map[{#[[1]],#[[2]]/(#[[1]]*Log[#[[1]]])}&,mixingTimesQuantiles,{2}];
plotN=ListPlot[mixingTimesDivN,Joined->True,PlotMarkers->Automatic,Frame->True,FrameLabel->{"n","\[LeftAngleBracket]ETMT\[RightAngleBracket]/n"},PlotLegends->taulabels,ImageSize->300]
plotNlogN=ListPlot[mixingTimesDivNlogN,Joined->True,PlotMarkers->Automatic,Frame->True,FrameLabel->{"n","\[LeftAngleBracket]ETMT\[RightAngleBracket]/(n log n)"},PlotLegends->taulabels,ImageSize->300]
plotQuantileN=ListPlot[etmtQuantileDivN,Joined->True,PlotMarkers->Automatic,Frame->True,FrameLabel->{"n","q(ETMT,99%)/n"},PlotLegends->taulabels,ImageSize->300]
plotQuantileNlogN=ListPlot[etmtQuantileDivNlogN,Joined->True,PlotMarkers->Automatic,Frame->True,FrameLabel->{"n","q(ETMT,99%)/(n log n)"},PlotLegends->taulabels,ImageSize->300]
Export[NotebookDirectory[]<>"plots/ETMTdivN.pdf",plotN]
etmtQuantileDivNmax=Map[Max[#[[All,2]]]&,etmtQuantileDivN];
etmtQuantileDivNmax=Transpose[{tauvalues,etmtQuantileDivNmax}];
mixingTimesDivNmax=Map[Max[#[[All,2]]]&,mixingTimesDivN];
mixingTimesDivNmax=Transpose[{tauvalues,mixingTimesDivNmax}];
Show[
Plot[{(50-30(tau-2)),32-26(tau-2)},{tau,2,3},AxesOrigin->{2,0}],
ListPlot[{etmtQuantileDivNmax,mixingTimesDivNmax},Joined->True,PlotMarkers->Automatic,PlotRange->{{2,3},All}]
]
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