Bootstrap code for GWW model, which works on positivity matrix defined in arXiv: 1612.08140
Other papers which will help to understand this code is arXiv: 2108.08757 and arXiv: 2109.08033
Run using " bash run_script "
Control size of positivity matrix by changing N in code, where N = K + 1, where K is highest power of operator in matrix
The positivity of matrix is checked by checking how eigenvalues are behaving with the help of LAPACK
Run time of code for say 1 million data points is less than 10 seconds for K = 6
Any suggestions : Write to me [email protected]
I am now trying to use this idea for different matrix models, if you have any more ideas around it, ping me at above email
Result for Wilson loop and and higher windings:
W vs
The white dots in the shaded region represent missing data.