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func_wn.cpp
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#include<iomanip>
#include<iostream>
#include<fstream>
#include<math.h>
#include<omp.h>
#include<cstdlib>
#include"setup.h"
using namespace std;
double ** exp_z;
void func_wn(int diff)
{
cout << "func_wn(): ";date_time();cout << endl;
double exp_Z(int n,int l, int diff);
exp_z=new double * [N_max];
for (int n=0;n<n0;n++){
exp_z[n]=new double [1];
}
for (int n=n0;n<N_max-1;n++){
exp_z[n]=new double [(dim_dot-1)*num_kept];
}
for (int n=N_max-1;n<N_max;n++){
exp_z[n]=new double [num_basis[n]];
}
double * wn=new double [N_max];
double sum=0;
ofstream fwn("wn.dat",ios_base::out | ios_base::app);
for (int n=n0;n<N_max-1;n++){
double suml=0;
for (int l=num_kept;l<num_basis[n];l++){
//cout << n << " " << l << " " << endl;
//cout << exp_Z(n,l) << " " << n << " " << l << endl;
exp_z[n][l-num_kept]=exp_Z(n,l,diff);//!!!
//cout << "xxxxxxxxxxxx" << endl;
suml=suml+exp_z[n][l-num_kept];//!!!
//cout << "xxxxxxxxxxxx" << endl;
}
wn[n]=pow(dim_dot,N_max-1-n)*suml;
fwn << setw(5) << n << setw(25) << scientific << setprecision(15) << wn[n] << endl;
sum=sum+wn[n];
cout << " " << setw(5) << n << " sum of wn= " << setprecision(16) << scientific << sum << endl;
}
for (int n=N_max-1;n<N_max;n++){
double suml=0;
for (int l=0;l<num_basis[n];l++){
exp_z[n][l]=exp_Z(n,l,diff);
suml=suml+exp_z[n][l];
}
wn[n]=pow(dim_dot,N_max-1-n)*suml;
fwn << setw(5) << n << setw(25) << scientific << setprecision(15) << wn[n] << endl;
sum=sum+wn[n];
cout << " " << setw(5) << n << " sum of wn= " << setprecision(16) << scientific << sum << endl;
}
fwn.close();
delete [] wn;
cout << " Time leaved: ";date_time();cout << endl;
}
double exp_Z(int n,int l,int diff)
{
double ans;
double sum=0;
for (int n1=n0;n1<N_max-1;n1++){
for (int l1=num_kept;l1<num_basis[n1];l1++){
double expo=0;
expo=-1.0*Beta*((E_GS[n1]+eigen[n1][l1].eig_val_relat)*pow(Lambda,-1.0*(n1-1-diff)/2.0)-(E_GS[n]+eigen[n][l].eig_val_relat)*pow(Lambda,-1.0*(n-1-diff)/2.0));
if (expo > 709) return 0;
sum=sum+pow(dim_dot,N_max-1-n1)*exp(expo);
}
}
for (int n1=N_max-1;n1<N_max;n1++){
for (int l1=0;l1<num_basis[n1];l1++){
double expo=0;
expo=-1.0*Beta*((E_GS[n1]+eigen[n1][l1].eig_val_relat)*pow(Lambda,-1.0*(n1-1-diff)/2.0)-(E_GS[n]+eigen[n][l].eig_val_relat)*pow(Lambda,-1.0*(n-1-diff)/2.0));
if (expo > 709) return 0;
sum=sum+pow(dim_dot,N_max-1-n1)*exp(expo);
}
}
ans=1.0/sum;
return ans;
}