bootstrap-gww

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 navdeep.s.dhindsa@gmail.com

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 $\lambda$

$W_2$ vs $\lambda$

$W_3$ vs $\lambda$

$W_4$ vs $\lambda$

The white dots in the shaded region represent missing data.