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2150 lines (1932 loc) · 106 KB
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#include "Dirac.h"
/*Dirac::Dirac()
* {
* // these are shitty defaults should have called the nicer constructor
* size=1;
* truesize=1;
* dimgamma=1;
* type=1;
* D<<1;
* S=0; //action(0,0,0); can't call action bc. it's virtual
* } */
Dirac::Dirac(programParams iniV)
{
type = iniV.Type;
dimgamma = getdimgamma();
size = iniV.matrixsize;
truesize = dimgamma * size * size;
gD2 = iniV.gD2;
gD22 = iniV.gD22;
gD4 = iniV.gD4;
initial(iniV.initialconfig, iniV.inifile);
makeD();
S = action();
moved = 0;
}
// Defines a function that sets the dimension of the Clifford module for each of the Clifford Types currently available.
int Dirac::getdimgamma()
{
int dg;
if (type == 01) {
dg = 1;
} else if (type == 10) {
dg = 1;
} else if (type == 20) {
dg = 2;
} else if (type == 11) {
dg = 2;
} else if (type == 02) {
dg = 2;
} else if (type == 03) {
dg = 2;
} else if (type == 031) {
dg = 2;
} else if (type == 13) {
dg = 4;
} else if (type == 130) {
dg = 4;
} else {
dg = 1;
}
return dg;
}
// A function that initialises vital variables
void Dirac::initial(int ini, char * inifile)
{
Eigen::MatrixXcd mtemp(size, size);
if (ini == 1) { // the fuzzy 2 sphere
mtemp.setIdentity();
// Get the necessary representations of su(2) generators
L23 = Lxy(size, 1);
L13 = Lxy(size, 2);
L12 = Lxy(size, 3);
H0 = mtemp;
H123 = mtemp;
mtemp = Eigen::MatrixXcd::Zero(size, size);
L1 = mtemp;
L2 = mtemp;
L3 = mtemp;
} else if (ini == 2) { // an identity Dirac operator
mtemp = Eigen::MatrixXcd::Zero(size, size);
L23 = mtemp;
L13 = mtemp;
L12 = mtemp;
H123 = mtemp;
L1 = mtemp;
L2 = mtemp;
L3 = mtemp;
mtemp.setIdentity();
H0 = mtemp;
} else if (ini == 3) { // identity matrices ( or I * identity for the anti hermitian matrices)
mtemp.setIdentity();
std::complex<double> I(0, 1);
L23 = I * mtemp;
L13 = I * mtemp;
L12 = I * mtemp;
H123 = mtemp;
L1 = I * mtemp;
L2 = I * mtemp;
L3 = I * mtemp;
H0 = mtemp;
}
/*
* Paul: I've commented this out, because it causes errors to do with the file scan, something about not being able to
* take the address of a rvalue. It might be something to do with .real and .imag, as they aren't assignable, so might not have an address? Unsure.
* Code now compiles
*/
// else if(ini==4) // initial config from a file
// {
// L23.resize(size,size);
// L13.resize(size,size);
// L12.resize(size,size);
// H123.resize(size,size);
// H0.resize(size,size);
// L1.resize(size,size);
// L2.resize(size,size);
// L3.resize(size,size);
//
// FILE *eF;
// eF = fopen (inifile, "r");
//
// int j=0;
// // j=fscanf(inifile, "%d \n", matrixsize);
// // I am using that k, k2, i, j are integers!
// // mp(k,k2)=a(k/j,k2/j)*b(k%j,k2%j);
// for( int m=0;m<size*size;m++)
// {
//
// // cout << m/n <<" =i" << m%n << "=j" <<endl;
// j=fscanf(eF, "%le %le %le %le %le %le %le %le %le %le %le %le %le %le %le %le \n", &L23(m/size,m%size).real(),
// &L23(m/size,m%size).imag(),
// &L13(m/size,m%size).real(),
// &L13(m/size,m%size).imag(),
// &L12(m/size,m%size).real(),
// &L12(m/size,m%size).imag(),
// &H123(m/size,m%size).real(),
// &H123(m/size,m%size).imag(),
// &H0(m/size,m%size).real(),
// &H0(m/size,m%size).imag(),
// &L1(m/size,m%size).real(),
// &L1(m/size,m%size).imag(),
// &L2(m/size,m%size).real(),
// &L2(m/size,m%size).imag(),
// &L3(m/size,m%size).real(),
// &L3(m/size,m%size).imag());
//
// if(j==-1)
// {
// printf("There was a problem with the file in line %d",m);
// }
//
// }
//
//
// fclose(eF);
// }
else if (ini == 5) { // random Dirac operator
mtemp = Eigen::MatrixXcd::Random(size, size);
L23 = mtemp - mtemp.adjoint();
mtemp = Eigen::MatrixXcd::Random(size, size);
L13 = mtemp - mtemp.adjoint();
mtemp = Eigen::MatrixXcd::Random(size, size);
L12 = mtemp - mtemp.adjoint();
mtemp = Eigen::MatrixXcd::Random(size, size);
H123 = mtemp + mtemp.adjoint();
mtemp = Eigen::MatrixXcd::Random(size, size);
L1 = mtemp - mtemp.adjoint();
mtemp = Eigen::MatrixXcd::Random(size, size);
L2 = mtemp - mtemp.adjoint();
mtemp = Eigen::MatrixXcd::Random(size, size);
L3 = mtemp - mtemp.adjoint();
mtemp = Eigen::MatrixXcd::Random(size, size);
H0 = mtemp + mtemp.adjoint();
} else {
std::cout << " Sorry we don't support that many initial configurations yet" << std::endl;
}
} // Dirac::initial
void Dirac::printD(FILE * file)
{
for (int i = 0; i < truesize; i++) {
for (int j = 0; j < truesize; j++) {
fprintf(file, "%10f+I%10f ", D(i, j).real(), D(i, j).imag() );
}
}
fprintf(file, "\n");
}
void Dirac::printAll(char * file)
{
FILE * eF;
eF = fopen(file, "w");
for (int i = 0; i < size; i++) {
for (int k = 0; k < size; k++) {
fprintf(eF, "%le %le %le %le %le %le %le %le %le %le %le %le %le %le %le %le \n", L23(i, k).real(),
L23(i, k).imag(),
L13(i, k).real(),
L13(i, k).imag(),
L12(i, k).real(),
L12(i, k).imag(),
H123(i, k).real(),
H123(i, k).imag(),
H0(i, k).real(),
H0(i, k).imag(),
L1(i, k).real(),
L1(i, k).imag(),
L2(i, k).real(),
L2(i, k).imag(),
L3(i, k).real(),
L3(i, k).imag());
if (DEBUG) printf(" at element %d %d \n", i, k);
}
}
// fprintf(thefile, L23.real());
fclose(eF);
}
double Dirac::getS()
{
if (moved == 1) {
if (type == 01) {
S = action01();
} else if (type == 10) {
S = action10();
} else if (type == 20) {
S = action20();
} else if (type == 11) {
S = action11();
} else if (type == 02) {
S = action02();
} else if (type == 03) {
S = action03();
} else if (type == 031) {
S = action031();
} else if (type == 13) {
S = action13();
} else if (type == 130) {
S = action130();
} else {
S = action();
}
moved = 0;
}
return S;
}
double Dirac::action()
{
std::complex<double> S2, S4;
double S;
// New simpler action, we just want D^2
Eigen::MatrixXcd temp1 = D * D;
Eigen::MatrixXcd temp2 = temp1 * temp1;
// in GR the action should be additive, and that's why we add the extrinsic curvature. But what about here?
S2 = (temp1).trace();
S4 = 0;
if (gD4 != 0) {
S4 = (temp2).trace();
}
if (S2.imag() > 10e-10 || S4.imag() > 10e-10) {
std::cout << "This sucks, your actionG isn't real o.O" << std::endl;
std::cout << S2.imag() << std::endl;
std::cout << S4.imag() << std::endl;
}
S = gD2 * S2.real() + gD22 * S2.real() * S2.real() + gD4 * S4.real();
return S;
}
void Dirac::moveA(double pA)
{
int hermitian;
Eigen::MatrixXcd temp;
hermitian = -1;
moveA_raw(L23, hermitian, pA, size);
if (!L23.isApprox(-1. * L23.adjoint())) std::cout << "L23 warning" << std::endl;
temp = L23 - L23.adjoint();
L23 = 0.5 * temp;
moveA_raw(L13, hermitian, pA, size);
if (!L13.isApprox(-1. * L13.adjoint())) std::cout << "L13 warning" << std::endl;
temp = L13 - L13.adjoint();
L13 = 0.5 * temp;
moveA_raw(L12, hermitian, pA, size);
if (!L12.isApprox(-1. * L12.adjoint())) std::cout << "L12 warning" << std::endl;
temp = L12 - L12.adjoint();
L12 = 0.5 * temp;
moveA_raw(L1, hermitian, pA, size);
if (!L1.isApprox(-1. * L1.adjoint())) std::cout << "L1 warning" << std::endl;
temp = L1 - L1.adjoint();
L1 = 0.5 * temp;
moveA_raw(L2, hermitian, pA, size);
if (!L2.isApprox(-1. * L2.adjoint())) std::cout << "L2 warning" << std::endl;
temp = L2 - L2.adjoint();
L2 = 0.5 * temp;
moveA_raw(L3, hermitian, pA, size);
if (!L3.isApprox(-1. * L3.adjoint())) std::cout << "L3 warning" << std::endl;
temp = L3 - L3.adjoint();
L3 = 0.5 * temp;
hermitian = 1;
moveA_raw(H123, hermitian, pA, size);
if (!H123.isApprox(H123.adjoint())) std::cout << "H123 warning" << std::endl;
temp = H123 + H123.adjoint();
H123 = 0.5 * temp;
moveA_raw(H0, hermitian, pA, size);
if (!H0.isApprox(H0.adjoint())) std::cout << "H0 warning" << std::endl;
temp = H0 + H0.adjoint();
H0 = 0.5 * temp;
makeD();
moved = 1;
if (!D.isApprox(D.adjoint())) {
std::cout << "That Dirac is not selfadjoint after moveM, something is wrong here!" << std::endl;
std::cout << D - D.adjoint() << std::endl;
}
} // Dirac::moveA
void Dirac::moveT(double pA)
{
Eigen::MatrixXcd temp;
moveT_raw(H123, pA, size);
moveT_raw(H0, pA, size);
makeD();
moved = 1;
if (!D.isApprox(D.adjoint())) {
std::cout << "That Dirac is not selfadjoint after moveM, something is wrong here!" << std::endl;
std::cout << D - D.adjoint() << std::endl;
}
}
int seed = (int) time(0); // random seed
StochasticLib1 sto(seed); // make instance of random library
int moveA_raw(Eigen::MatrixXcd &M, int her, double p, int s)
{
Eigen::MatrixXcd diff(s, s);
diff = Eigen::MatrixXcd::Random(s, s);
M += sto.Normal(p, p) * (diff + her * diff.adjoint()); // here comes the anti hermitian
return 0;
}
int moveT_raw(Eigen::MatrixXcd &M, double p, int s)
{
Eigen::MatrixXcd diff(s, s);
diff.setIdentity();
M += sto.Normal(0., p) * M.trace() * diff.setIdentity() / s; // here comes the anti hermitian
return 0;
}
void Dirac::makeD10()
{
D = acom(H0);
}
void Dirac::makeD01()
{
D = com(H0);
}
// A small routine to caluclate the Dirac operator
// implicit assumptions are that L23,L13,L12,H0 have the same size and that they are squared
void Dirac::makeD130()
{
Eigen::MatrixXcd g0, g1, g2, g3;
g0 = gamma13(0);
g1 = gamma13(1);
g2 = gamma13(2);
g3 = gamma13(3);
D = tens(g0 * g1 * g2, com(L12)) + tens(g0 * g1 * g3, com(L13)) + tens(g0 * g2 * g3, com(L23)) + tens(g0, acom(H0));
}
// A small routine to calculate the general Dirac operator
// implicit assumptions are that L23,L13,L12,H0 have the same size and that they are squared
void Dirac::makeD13()
{
Eigen::MatrixXcd g0, g1, g2, g3;
g0 = gamma13(0);
g1 = gamma13(1);
g2 = gamma13(2);
g3 = gamma13(3);
D = tens(g0 * g1 * g2, com(L12)) + tens(g0 * g1 * g3, com(L13)) + tens(g0 * g2 * g3, com(L23)) + tens(g1 * g2 * g3, acom(
H123))
+ tens(g0, acom(H0)) + tens(g1, com(L1)) + tens(g2, com(L2)) + tens(g3, com(L3));
}
void Dirac::makeD20()
{
Eigen::MatrixXcd g1, g2;
g1 = gamma20(1);
g2 = gamma20(2);
D = tens(g1, acom(H0)) + tens(g2, acom(H123));
}
void Dirac::makeD11()
{
Eigen::MatrixXcd g1, g2;
g1 = gamma11(1);
g2 = gamma11(2);
D = tens(g1, acom(H0)) + tens(g2, com(L1));
}
void Dirac::makeD02()
{
Eigen::MatrixXcd g1, g2;
g1 = gamma02(1);
g2 = gamma02(2);
D = tens(g1, com(L1)) + tens(g2, com(L2));
}
void Dirac::makeD03()
{
Eigen::MatrixXcd g1, g2, g3;
g1 = gamma03(1);
g2 = gamma03(2);
g3 = gamma03(3);
Eigen::MatrixXcd ident(g1.cols(), g1.cols());
Eigen::MatrixXcd temp;
ident.setIdentity();
D = tens(ident, acom(H0)) + tens(g1, com(L1)) + tens(g2, com(L2)) + tens(g3, com(L3));
}
void Dirac::makeD031()
{
Eigen::MatrixXcd g1, g2, g3;
g1 = gamma03(1);
g2 = gamma03(2);
g3 = gamma03(3);
D = tens(g1, com(L1)) + tens(g2, com(L2)) + tens(g3, com(L3));
}
void Dirac::makeD()
{
if (type == 13) {
makeD13();
} else if (type == 130) {
makeD130();
} else if (type == 01) {
makeD01();
} else if (type == 10) {
makeD10();
} else if (type == 20) {
makeD20();
} else if (type == 11) {
makeD11();
} else if (type == 02) {
makeD02();
} else if (type == 31) {
makeD031();
} else if (type == 03) {
makeD03();
} else {
printf("Sorry, we haven't implemented Type %d", type);
}
}
double Dirac::action130()
{
std::complex<double> S2, S4;
// New simpler action, we just want D^2
Eigen::MatrixXcd temp1 = H0 * H0;
Eigen::MatrixXcd temp2 = L23 * L23 + L13 * L13 + L12 * L12;
// Eigen::MatrixXcd temp2=temp1*temp1;
// in GR the action should be additive, and that's why we add the extrinsic curvature. But what about here?
S2 = 8. * size * temp1.trace() + 8. * H0.trace() * H0.trace() - 8. * size * temp2.trace() + 8.
* (L23.trace() * L23.trace() + L13.trace() * L13.trace() + L12.trace() * L12.trace());
// S4= (temp2).trace();
if (S2.imag() > 10e-10) { // || S4.imag()>10e-10)
std::cout << "This sucks, your action isn't real o.O" << std::endl;
}
// std::cout<<"temp1"<< temp1.trace()<<std::endl;
// std::cout<<"temp2"<< temp2.trace()<<std::endl;
S = gD2 * S2.real() + gD22 * S2.real() * S2.real(); // +0.5*S4.real();
return S;
}
double Dirac::action13()
{
std::complex<double> S2, S4;
// New simpler action, we just want D^2
Eigen::MatrixXcd temp1 = H0 * H0 - L1 * L1 - L2 * L2 - L3 * L3;
Eigen::MatrixXcd temp2 = L23 * L23 + L13 * L13 + L12 * L12 - H123 * H123;
S2 = 8. * size * temp1.trace() + 8. * H0.trace() * H0.trace() + 8. * L1.trace() * L1.trace() + 8. * L2.trace()
* L2.trace() + 8. * L3.trace() * L3.trace() - 8. * size * temp2.trace() + 8.
* (L23.trace() * L23.trace() + L13.trace() * L13.trace() + L12.trace() * L12.trace() + H123.trace()
* H123.trace());
S4 = 0;
if (gD4 != 0) {
// Mathematica generated code. I'm not gonna type all this shit in by hand :P
Eigen::MatrixXcd H0H0 = H0 * H0;
std::complex<double> H0H0t = H0H0.trace();
// Eigen::MatrixXcd H0=H0;
std::complex<double> H0t = H0.trace();
Eigen::MatrixXcd H0H0H0 = H0 * H0 * H0;
std::complex<double> H0H0H0t = H0H0H0.trace();
Eigen::MatrixXcd H0H0H0H0 = H0 * H0 * H0 * H0;
std::complex<double> H0H0H0H0t = H0H0H0H0.trace();
Eigen::MatrixXcd L1L1 = L1 * L1;
std::complex<double> L1L1t = L1L1.trace();
// Eigen::MatrixXcd L1=L1;
std::complex<double> L1t = L1.trace();
Eigen::MatrixXcd L1L1L1 = L1 * L1 * L1;
std::complex<double> L1L1L1t = L1L1L1.trace();
Eigen::MatrixXcd L1L1L1L1 = L1 * L1 * L1 * L1;
std::complex<double> L1L1L1L1t = L1L1L1L1.trace();
Eigen::MatrixXcd L12L12 = L12 * L12;
std::complex<double> L12L12t = L12L12.trace();
// Eigen::MatrixXcd L12=L12;
std::complex<double> L12t = L12.trace();
Eigen::MatrixXcd L12L12L12 = L12 * L12 * L12;
std::complex<double> L12L12L12t = L12L12L12.trace();
Eigen::MatrixXcd L12L12L12L12 = L12 * L12 * L12 * L12;
std::complex<double> L12L12L12L12t = L12L12L12L12.trace();
Eigen::MatrixXcd H123H123 = H123 * H123;
std::complex<double> H123H123t = H123H123.trace();
// Eigen::MatrixXcd H123=H123;
std::complex<double> H123t = H123.trace();
Eigen::MatrixXcd H123H123H123 = H123 * H123 * H123;
std::complex<double> H123H123H123t = H123H123H123.trace();
Eigen::MatrixXcd H123H123H123H123 = H123 * H123 * H123 * H123;
std::complex<double> H123H123H123H123t = H123H123H123H123.trace();
Eigen::MatrixXcd L13L13 = L13 * L13;
std::complex<double> L13L13t = L13L13.trace();
// Eigen::MatrixXcd L13=L13;
std::complex<double> L13t = L13.trace();
Eigen::MatrixXcd L13L13L13 = L13 * L13 * L13;
std::complex<double> L13L13L13t = L13L13L13.trace();
Eigen::MatrixXcd L13L13L13L13 = L13 * L13 * L13 * L13;
std::complex<double> L13L13L13L13t = L13L13L13L13.trace();
Eigen::MatrixXcd L2L2 = L2 * L2;
std::complex<double> L2L2t = L2L2.trace();
// Eigen::MatrixXcd L2=L2;
std::complex<double> L2t = L2.trace();
Eigen::MatrixXcd L2L2L2 = L2 * L2 * L2;
std::complex<double> L2L2L2t = L2L2L2.trace();
Eigen::MatrixXcd L2L2L2L2 = L2 * L2 * L2 * L2;
std::complex<double> L2L2L2L2t = L2L2L2L2.trace();
Eigen::MatrixXcd L23L23 = L23 * L23;
std::complex<double> L23L23t = L23L23.trace();
// Eigen::MatrixXcd L23=L23;
std::complex<double> L23t = L23.trace();
Eigen::MatrixXcd L23L23L23 = L23 * L23 * L23;
std::complex<double> L23L23L23t = L23L23L23.trace();
Eigen::MatrixXcd L23L23L23L23 = L23 * L23 * L23 * L23;
std::complex<double> L23L23L23L23t = L23L23L23L23.trace();
Eigen::MatrixXcd L3L3 = L3 * L3;
std::complex<double> L3L3t = L3L3.trace();
// Eigen::MatrixXcd L3=L3;
std::complex<double> L3t = L3.trace();
Eigen::MatrixXcd L3L3L3 = L3 * L3 * L3;
std::complex<double> L3L3L3t = L3L3L3.trace();
Eigen::MatrixXcd L3L3L3L3 = L3 * L3 * L3 * L3;
std::complex<double> L3L3L3L3t = L3L3L3L3.trace();
Eigen::MatrixXcd H0L1 = H0 * L1;
std::complex<double> H0L1t = H0L1.trace();
Eigen::MatrixXcd H0L1H0L1 = H0 * L1 * H0 * L1;
std::complex<double> H0L1H0L1t = H0L1H0L1.trace();
Eigen::MatrixXcd H0L1L1 = H0 * L1 * L1;
std::complex<double> H0L1L1t = H0L1L1.trace();
Eigen::MatrixXcd H0L12 = H0 * L12;
std::complex<double> H0L12t = H0L12.trace();
Eigen::MatrixXcd H0L12H0L12 = H0 * L12 * H0 * L12;
std::complex<double> H0L12H0L12t = H0L12H0L12.trace();
Eigen::MatrixXcd H0L12L12 = H0 * L12 * L12;
std::complex<double> H0L12L12t = H0L12L12.trace();
Eigen::MatrixXcd H0H123 = H0 * H123;
std::complex<double> H0H123t = H0H123.trace();
Eigen::MatrixXcd H0H123H0H123 = H0 * H123 * H0 * H123;
std::complex<double> H0H123H0H123t = H0H123H0H123.trace();
Eigen::MatrixXcd H0H123H123 = H0 * H123 * H123;
std::complex<double> H0H123H123t = H0H123H123.trace();
Eigen::MatrixXcd H0L13 = H0 * L13;
std::complex<double> H0L13t = H0L13.trace();
Eigen::MatrixXcd H0L13H0L13 = H0 * L13 * H0 * L13;
std::complex<double> H0L13H0L13t = H0L13H0L13.trace();
Eigen::MatrixXcd H0L13L13 = H0 * L13 * L13;
std::complex<double> H0L13L13t = H0L13L13.trace();
Eigen::MatrixXcd H0L2 = H0 * L2;
std::complex<double> H0L2t = H0L2.trace();
Eigen::MatrixXcd H0L2H0L2 = H0 * L2 * H0 * L2;
std::complex<double> H0L2H0L2t = H0L2H0L2.trace();
Eigen::MatrixXcd H0L2L2 = H0 * L2 * L2;
std::complex<double> H0L2L2t = H0L2L2.trace();
Eigen::MatrixXcd H0L23 = H0 * L23;
std::complex<double> H0L23t = H0L23.trace();
Eigen::MatrixXcd H0L23H0L23 = H0 * L23 * H0 * L23;
std::complex<double> H0L23H0L23t = H0L23H0L23.trace();
Eigen::MatrixXcd H0L23L23 = H0 * L23 * L23;
std::complex<double> H0L23L23t = H0L23L23.trace();
Eigen::MatrixXcd H0L3 = H0 * L3;
std::complex<double> H0L3t = H0L3.trace();
Eigen::MatrixXcd H0L3H0L3 = H0 * L3 * H0 * L3;
std::complex<double> H0L3H0L3t = H0L3H0L3.trace();
Eigen::MatrixXcd H0L3L3 = H0 * L3 * L3;
std::complex<double> H0L3L3t = H0L3L3.trace();
Eigen::MatrixXcd H0H0L1 = H0 * H0 * L1;
std::complex<double> H0H0L1t = H0H0L1.trace();
Eigen::MatrixXcd H0H0L1L1 = H0 * H0 * L1 * L1;
std::complex<double> H0H0L1L1t = H0H0L1L1.trace();
Eigen::MatrixXcd H0H0L12 = H0 * H0 * L12;
std::complex<double> H0H0L12t = H0H0L12.trace();
Eigen::MatrixXcd H0H0L12L12 = H0 * H0 * L12 * L12;
std::complex<double> H0H0L12L12t = H0H0L12L12.trace();
Eigen::MatrixXcd H0H0H123 = H0 * H0 * H123;
std::complex<double> H0H0H123t = H0H0H123.trace();
Eigen::MatrixXcd H0H0H123H123 = H0 * H0 * H123 * H123;
std::complex<double> H0H0H123H123t = H0H0H123H123.trace();
Eigen::MatrixXcd H0H0L13 = H0 * H0 * L13;
std::complex<double> H0H0L13t = H0H0L13.trace();
Eigen::MatrixXcd H0H0L13L13 = H0 * H0 * L13 * L13;
std::complex<double> H0H0L13L13t = H0H0L13L13.trace();
Eigen::MatrixXcd H0H0L2 = H0 * H0 * L2;
std::complex<double> H0H0L2t = H0H0L2.trace();
Eigen::MatrixXcd H0H0L2L2 = H0 * H0 * L2 * L2;
std::complex<double> H0H0L2L2t = H0H0L2L2.trace();
Eigen::MatrixXcd H0H0L23 = H0 * H0 * L23;
std::complex<double> H0H0L23t = H0H0L23.trace();
Eigen::MatrixXcd H0H0L23L23 = H0 * H0 * L23 * L23;
std::complex<double> H0H0L23L23t = H0H0L23L23.trace();
Eigen::MatrixXcd H0H0L3 = H0 * H0 * L3;
std::complex<double> H0H0L3t = H0H0L3.trace();
Eigen::MatrixXcd H0H0L3L3 = H0 * H0 * L3 * L3;
std::complex<double> H0H0L3L3t = H0H0L3L3.trace();
Eigen::MatrixXcd L1L12 = L1 * L12;
std::complex<double> L1L12t = L1L12.trace();
Eigen::MatrixXcd L1L12L1L12 = L1 * L12 * L1 * L12;
std::complex<double> L1L12L1L12t = L1L12L1L12.trace();
Eigen::MatrixXcd L1L12L12 = L1 * L12 * L12;
std::complex<double> L1L12L12t = L1L12L12.trace();
Eigen::MatrixXcd L1H123 = L1 * H123;
std::complex<double> L1H123t = L1H123.trace();
Eigen::MatrixXcd L1H123L1H123 = L1 * H123 * L1 * H123;
std::complex<double> L1H123L1H123t = L1H123L1H123.trace();
Eigen::MatrixXcd L1H123H123 = L1 * H123 * H123;
std::complex<double> L1H123H123t = L1H123H123.trace();
Eigen::MatrixXcd L1L13 = L1 * L13;
std::complex<double> L1L13t = L1L13.trace();
Eigen::MatrixXcd L1L13L1L13 = L1 * L13 * L1 * L13;
std::complex<double> L1L13L1L13t = L1L13L1L13.trace();
Eigen::MatrixXcd L1L13L13 = L1 * L13 * L13;
std::complex<double> L1L13L13t = L1L13L13.trace();
Eigen::MatrixXcd L1L2 = L1 * L2;
std::complex<double> L1L2t = L1L2.trace();
Eigen::MatrixXcd L1L2L1L2 = L1 * L2 * L1 * L2;
std::complex<double> L1L2L1L2t = L1L2L1L2.trace();
Eigen::MatrixXcd L1L2L2 = L1 * L2 * L2;
std::complex<double> L1L2L2t = L1L2L2.trace();
Eigen::MatrixXcd L1L23 = L1 * L23;
std::complex<double> L1L23t = L1L23.trace();
Eigen::MatrixXcd L1L23L1L23 = L1 * L23 * L1 * L23;
std::complex<double> L1L23L1L23t = L1L23L1L23.trace();
Eigen::MatrixXcd L1L23L23 = L1 * L23 * L23;
std::complex<double> L1L23L23t = L1L23L23.trace();
Eigen::MatrixXcd L1L3 = L1 * L3;
std::complex<double> L1L3t = L1L3.trace();
Eigen::MatrixXcd L1L3L1L3 = L1 * L3 * L1 * L3;
std::complex<double> L1L3L1L3t = L1L3L1L3.trace();
Eigen::MatrixXcd L1L3L3 = L1 * L3 * L3;
std::complex<double> L1L3L3t = L1L3L3.trace();
Eigen::MatrixXcd L1L1L12 = L1 * L1 * L12;
std::complex<double> L1L1L12t = L1L1L12.trace();
Eigen::MatrixXcd L1L1L12L12 = L1 * L1 * L12 * L12;
std::complex<double> L1L1L12L12t = L1L1L12L12.trace();
Eigen::MatrixXcd L1L1H123 = L1 * L1 * H123;
std::complex<double> L1L1H123t = L1L1H123.trace();
Eigen::MatrixXcd L1L1H123H123 = L1 * L1 * H123 * H123;
std::complex<double> L1L1H123H123t = L1L1H123H123.trace();
Eigen::MatrixXcd L1L1L13 = L1 * L1 * L13;
std::complex<double> L1L1L13t = L1L1L13.trace();
Eigen::MatrixXcd L1L1L13L13 = L1 * L1 * L13 * L13;
std::complex<double> L1L1L13L13t = L1L1L13L13.trace();
Eigen::MatrixXcd L1L1L2 = L1 * L1 * L2;
std::complex<double> L1L1L2t = L1L1L2.trace();
Eigen::MatrixXcd L1L1L2L2 = L1 * L1 * L2 * L2;
std::complex<double> L1L1L2L2t = L1L1L2L2.trace();
Eigen::MatrixXcd L1L1L23 = L1 * L1 * L23;
std::complex<double> L1L1L23t = L1L1L23.trace();
Eigen::MatrixXcd L1L1L23L23 = L1 * L1 * L23 * L23;
std::complex<double> L1L1L23L23t = L1L1L23L23.trace();
Eigen::MatrixXcd L1L1L3 = L1 * L1 * L3;
std::complex<double> L1L1L3t = L1L1L3.trace();
Eigen::MatrixXcd L1L1L3L3 = L1 * L1 * L3 * L3;
std::complex<double> L1L1L3L3t = L1L1L3L3.trace();
Eigen::MatrixXcd L12H123 = L12 * H123;
std::complex<double> L12H123t = L12H123.trace();
Eigen::MatrixXcd L12H123L12H123 = L12 * H123 * L12 * H123;
std::complex<double> L12H123L12H123t = L12H123L12H123.trace();
Eigen::MatrixXcd L12H123H123 = L12 * H123 * H123;
std::complex<double> L12H123H123t = L12H123H123.trace();
Eigen::MatrixXcd L12L13 = L12 * L13;
std::complex<double> L12L13t = L12L13.trace();
Eigen::MatrixXcd L12L13L12L13 = L12 * L13 * L12 * L13;
std::complex<double> L12L13L12L13t = L12L13L12L13.trace();
Eigen::MatrixXcd L12L13L13 = L12 * L13 * L13;
std::complex<double> L12L13L13t = L12L13L13.trace();
Eigen::MatrixXcd L12L2 = L12 * L2;
std::complex<double> L12L2t = L12L2.trace();
Eigen::MatrixXcd L12L2L12L2 = L12 * L2 * L12 * L2;
std::complex<double> L12L2L12L2t = L12L2L12L2.trace();
Eigen::MatrixXcd L12L2L2 = L12 * L2 * L2;
std::complex<double> L12L2L2t = L12L2L2.trace();
Eigen::MatrixXcd L12L23 = L12 * L23;
std::complex<double> L12L23t = L12L23.trace();
Eigen::MatrixXcd L12L23L12L23 = L12 * L23 * L12 * L23;
std::complex<double> L12L23L12L23t = L12L23L12L23.trace();
Eigen::MatrixXcd L12L23L23 = L12 * L23 * L23;
std::complex<double> L12L23L23t = L12L23L23.trace();
Eigen::MatrixXcd L12L3 = L12 * L3;
std::complex<double> L12L3t = L12L3.trace();
Eigen::MatrixXcd L12L3L12L3 = L12 * L3 * L12 * L3;
std::complex<double> L12L3L12L3t = L12L3L12L3.trace();
Eigen::MatrixXcd L12L3L3 = L12 * L3 * L3;
std::complex<double> L12L3L3t = L12L3L3.trace();
Eigen::MatrixXcd L12L12H123 = L12 * L12 * H123;
std::complex<double> L12L12H123t = L12L12H123.trace();
Eigen::MatrixXcd L12L12H123H123 = L12 * L12 * H123 * H123;
std::complex<double> L12L12H123H123t = L12L12H123H123.trace();
Eigen::MatrixXcd L12L12L13 = L12 * L12 * L13;
std::complex<double> L12L12L13t = L12L12L13.trace();
Eigen::MatrixXcd L12L12L13L13 = L12 * L12 * L13 * L13;
std::complex<double> L12L12L13L13t = L12L12L13L13.trace();
Eigen::MatrixXcd L12L12L2 = L12 * L12 * L2;
std::complex<double> L12L12L2t = L12L12L2.trace();
Eigen::MatrixXcd L12L12L2L2 = L12 * L12 * L2 * L2;
std::complex<double> L12L12L2L2t = L12L12L2L2.trace();
Eigen::MatrixXcd L12L12L23 = L12 * L12 * L23;
std::complex<double> L12L12L23t = L12L12L23.trace();
Eigen::MatrixXcd L12L12L23L23 = L12 * L12 * L23 * L23;
std::complex<double> L12L12L23L23t = L12L12L23L23.trace();
Eigen::MatrixXcd L12L12L3 = L12 * L12 * L3;
std::complex<double> L12L12L3t = L12L12L3.trace();
Eigen::MatrixXcd L12L12L3L3 = L12 * L12 * L3 * L3;
std::complex<double> L12L12L3L3t = L12L12L3L3.trace();
Eigen::MatrixXcd H123L13 = H123 * L13;
std::complex<double> H123L13t = H123L13.trace();
Eigen::MatrixXcd H123L13H123L13 = H123 * L13 * H123 * L13;
std::complex<double> H123L13H123L13t = H123L13H123L13.trace();
Eigen::MatrixXcd H123L13L13 = H123 * L13 * L13;
std::complex<double> H123L13L13t = H123L13L13.trace();
Eigen::MatrixXcd H123L2 = H123 * L2;
std::complex<double> H123L2t = H123L2.trace();
Eigen::MatrixXcd H123L2H123L2 = H123 * L2 * H123 * L2;
std::complex<double> H123L2H123L2t = H123L2H123L2.trace();
Eigen::MatrixXcd H123L2L2 = H123 * L2 * L2;
std::complex<double> H123L2L2t = H123L2L2.trace();
Eigen::MatrixXcd H123L23 = H123 * L23;
std::complex<double> H123L23t = H123L23.trace();
Eigen::MatrixXcd H123L23H123L23 = H123 * L23 * H123 * L23;
std::complex<double> H123L23H123L23t = H123L23H123L23.trace();
Eigen::MatrixXcd H123L23L23 = H123 * L23 * L23;
std::complex<double> H123L23L23t = H123L23L23.trace();
Eigen::MatrixXcd H123L3 = H123 * L3;
std::complex<double> H123L3t = H123L3.trace();
Eigen::MatrixXcd H123L3H123L3 = H123 * L3 * H123 * L3;
std::complex<double> H123L3H123L3t = H123L3H123L3.trace();
Eigen::MatrixXcd H123L3L3 = H123 * L3 * L3;
std::complex<double> H123L3L3t = H123L3L3.trace();
Eigen::MatrixXcd H123H123L13 = H123 * H123 * L13;
std::complex<double> H123H123L13t = H123H123L13.trace();
Eigen::MatrixXcd H123H123L13L13 = H123 * H123 * L13 * L13;
std::complex<double> H123H123L13L13t = H123H123L13L13.trace();
Eigen::MatrixXcd H123H123L2 = H123 * H123 * L2;
std::complex<double> H123H123L2t = H123H123L2.trace();
Eigen::MatrixXcd H123H123L2L2 = H123 * H123 * L2 * L2;
std::complex<double> H123H123L2L2t = H123H123L2L2.trace();
Eigen::MatrixXcd H123H123L23 = H123 * H123 * L23;
std::complex<double> H123H123L23t = H123H123L23.trace();
Eigen::MatrixXcd H123H123L23L23 = H123 * H123 * L23 * L23;
std::complex<double> H123H123L23L23t = H123H123L23L23.trace();
Eigen::MatrixXcd H123H123L3 = H123 * H123 * L3;
std::complex<double> H123H123L3t = H123H123L3.trace();
Eigen::MatrixXcd H123H123L3L3 = H123 * H123 * L3 * L3;
std::complex<double> H123H123L3L3t = H123H123L3L3.trace();
Eigen::MatrixXcd L13L2 = L13 * L2;
std::complex<double> L13L2t = L13L2.trace();
Eigen::MatrixXcd L13L2L13L2 = L13 * L2 * L13 * L2;
std::complex<double> L13L2L13L2t = L13L2L13L2.trace();
Eigen::MatrixXcd L13L2L2 = L13 * L2 * L2;
std::complex<double> L13L2L2t = L13L2L2.trace();
Eigen::MatrixXcd L13L23 = L13 * L23;
std::complex<double> L13L23t = L13L23.trace();
Eigen::MatrixXcd L13L23L13L23 = L13 * L23 * L13 * L23;
std::complex<double> L13L23L13L23t = L13L23L13L23.trace();
Eigen::MatrixXcd L13L23L23 = L13 * L23 * L23;
std::complex<double> L13L23L23t = L13L23L23.trace();
Eigen::MatrixXcd L13L3 = L13 * L3;
std::complex<double> L13L3t = L13L3.trace();
Eigen::MatrixXcd L13L3L13L3 = L13 * L3 * L13 * L3;
std::complex<double> L13L3L13L3t = L13L3L13L3.trace();
Eigen::MatrixXcd L13L3L3 = L13 * L3 * L3;
std::complex<double> L13L3L3t = L13L3L3.trace();
Eigen::MatrixXcd L13L13L2 = L13 * L13 * L2;
std::complex<double> L13L13L2t = L13L13L2.trace();
Eigen::MatrixXcd L13L13L2L2 = L13 * L13 * L2 * L2;
std::complex<double> L13L13L2L2t = L13L13L2L2.trace();
Eigen::MatrixXcd L13L13L23 = L13 * L13 * L23;
std::complex<double> L13L13L23t = L13L13L23.trace();
Eigen::MatrixXcd L13L13L23L23 = L13 * L13 * L23 * L23;
std::complex<double> L13L13L23L23t = L13L13L23L23.trace();
Eigen::MatrixXcd L13L13L3 = L13 * L13 * L3;
std::complex<double> L13L13L3t = L13L13L3.trace();
Eigen::MatrixXcd L13L13L3L3 = L13 * L13 * L3 * L3;
std::complex<double> L13L13L3L3t = L13L13L3L3.trace();
Eigen::MatrixXcd L2L23 = L2 * L23;
std::complex<double> L2L23t = L2L23.trace();
Eigen::MatrixXcd L2L23L2L23 = L2 * L23 * L2 * L23;
std::complex<double> L2L23L2L23t = L2L23L2L23.trace();
Eigen::MatrixXcd L2L23L23 = L2 * L23 * L23;
std::complex<double> L2L23L23t = L2L23L23.trace();
Eigen::MatrixXcd L2L3 = L2 * L3;
std::complex<double> L2L3t = L2L3.trace();
Eigen::MatrixXcd L2L3L2L3 = L2 * L3 * L2 * L3;
std::complex<double> L2L3L2L3t = L2L3L2L3.trace();
Eigen::MatrixXcd L2L3L3 = L2 * L3 * L3;
std::complex<double> L2L3L3t = L2L3L3.trace();
Eigen::MatrixXcd L2L2L23 = L2 * L2 * L23;
std::complex<double> L2L2L23t = L2L2L23.trace();
Eigen::MatrixXcd L2L2L23L23 = L2 * L2 * L23 * L23;
std::complex<double> L2L2L23L23t = L2L2L23L23.trace();
Eigen::MatrixXcd L2L2L3 = L2 * L2 * L3;
std::complex<double> L2L2L3t = L2L2L3.trace();
Eigen::MatrixXcd L2L2L3L3 = L2 * L2 * L3 * L3;
std::complex<double> L2L2L3L3t = L2L2L3L3.trace();
Eigen::MatrixXcd L23L3 = L23 * L3;
std::complex<double> L23L3t = L23L3.trace();
Eigen::MatrixXcd L23L3L23L3 = L23 * L3 * L23 * L3;
std::complex<double> L23L3L23L3t = L23L3L23L3.trace();
Eigen::MatrixXcd L23L3L3 = L23 * L3 * L3;
std::complex<double> L23L3L3t = L23L3L3.trace();
Eigen::MatrixXcd L23L23L3 = L23 * L23 * L3;
std::complex<double> L23L23L3t = L23L23L3.trace();
Eigen::MatrixXcd L23L23L3L3 = L23 * L23 * L3 * L3;
std::complex<double> L23L23L3L3t = L23L23L3L3.trace();
Eigen::MatrixXcd H0L1L12 = H0 * L1 * L12;
std::complex<double> H0L1L12t = H0L1L12.trace();
Eigen::MatrixXcd H0L1L13 = H0 * L1 * L13;
std::complex<double> H0L1L13t = H0L1L13.trace();
Eigen::MatrixXcd H0L1L2 = H0 * L1 * L2;
std::complex<double> H0L1L2t = H0L1L2.trace();
Eigen::MatrixXcd H0L1L23 = H0 * L1 * L23;
std::complex<double> H0L1L23t = H0L1L23.trace();
Eigen::MatrixXcd H0L1L3 = H0 * L1 * L3;
std::complex<double> H0L1L3t = H0L1L3.trace();
Eigen::MatrixXcd H0L12H123 = H0 * L12 * H123;
std::complex<double> H0L12H123t = H0L12H123.trace();
Eigen::MatrixXcd H0L12L2 = H0 * L12 * L2;
std::complex<double> H0L12L2t = H0L12L2.trace();
Eigen::MatrixXcd H0L12L3 = H0 * L12 * L3;
std::complex<double> H0L12L3t = H0L12L3.trace();
Eigen::MatrixXcd H0H123L13 = H0 * H123 * L13;
std::complex<double> H0H123L13t = H0H123L13.trace();
Eigen::MatrixXcd H0H123L23 = H0 * H123 * L23;
std::complex<double> H0H123L23t = H0H123L23.trace();
Eigen::MatrixXcd H0L13L2 = H0 * L13 * L2;
std::complex<double> H0L13L2t = H0L13L2.trace();
Eigen::MatrixXcd H0L13L3 = H0 * L13 * L3;
std::complex<double> H0L13L3t = H0L13L3.trace();
Eigen::MatrixXcd H0L2L23 = H0 * L2 * L23;
std::complex<double> H0L2L23t = H0L2L23.trace();
Eigen::MatrixXcd H0L2L3 = H0 * L2 * L3;
std::complex<double> H0L2L3t = H0L2L3.trace();
Eigen::MatrixXcd H0L23L3 = H0 * L23 * L3;
std::complex<double> H0L23L3t = H0L23L3.trace();
Eigen::MatrixXcd L1H0L12 = L1 * H0 * L12;
std::complex<double> L1H0L12t = L1H0L12.trace();
Eigen::MatrixXcd L1H0H123 = L1 * H0 * H123;
std::complex<double> L1H0H123t = L1H0H123.trace();
Eigen::MatrixXcd L1H0L13 = L1 * H0 * L13;
std::complex<double> L1H0L13t = L1H0L13.trace();
Eigen::MatrixXcd L1H0L2 = L1 * H0 * L2;
std::complex<double> L1H0L2t = L1H0L2.trace();
Eigen::MatrixXcd L1H0L23 = L1 * H0 * L23;
std::complex<double> L1H0L23t = L1H0L23.trace();
Eigen::MatrixXcd L1H0L3 = L1 * H0 * L3;
std::complex<double> L1H0L3t = L1H0L3.trace();
Eigen::MatrixXcd L1L12L2 = L1 * L12 * L2;
std::complex<double> L1L12L2t = L1L12L2.trace();
Eigen::MatrixXcd L1L12L23 = L1 * L12 * L23;
std::complex<double> L1L12L23t = L1L12L23.trace();
Eigen::MatrixXcd L1L12L3 = L1 * L12 * L3;
std::complex<double> L1L12L3t = L1L12L3.trace();
Eigen::MatrixXcd L1H123L2 = L1 * H123 * L2;
std::complex<double> L1H123L2t = L1H123L2.trace();
Eigen::MatrixXcd L1H123L23 = L1 * H123 * L23;
std::complex<double> L1H123L23t = L1H123L23.trace();
Eigen::MatrixXcd L1H123L3 = L1 * H123 * L3;
std::complex<double> L1H123L3t = L1H123L3.trace();
Eigen::MatrixXcd L1L13L2 = L1 * L13 * L2;
std::complex<double> L1L13L2t = L1L13L2.trace();
Eigen::MatrixXcd L1L13L23 = L1 * L13 * L23;
std::complex<double> L1L13L23t = L1L13L23.trace();
Eigen::MatrixXcd L1L13L3 = L1 * L13 * L3;
std::complex<double> L1L13L3t = L1L13L3.trace();
Eigen::MatrixXcd L1L2L3 = L1 * L2 * L3;
std::complex<double> L1L2L3t = L1L2L3.trace();
Eigen::MatrixXcd L12H0L1 = L12 * H0 * L1;
std::complex<double> L12H0L1t = L12H0L1.trace();
Eigen::MatrixXcd L12H0H123 = L12 * H0 * H123;
std::complex<double> L12H0H123t = L12H0H123.trace();
Eigen::MatrixXcd L12H0L13 = L12 * H0 * L13;
std::complex<double> L12H0L13t = L12H0L13.trace();
Eigen::MatrixXcd L12H0L2 = L12 * H0 * L2;
std::complex<double> L12H0L2t = L12H0L2.trace();
Eigen::MatrixXcd L12H0L23 = L12 * H0 * L23;
std::complex<double> L12H0L23t = L12H0L23.trace();
Eigen::MatrixXcd L12H0L3 = L12 * H0 * L3;
std::complex<double> L12H0L3t = L12H0L3.trace();
Eigen::MatrixXcd L12L1H0 = L12 * L1 * H0;
std::complex<double> L12L1H0t = L12L1H0.trace();
Eigen::MatrixXcd L12L1H123 = L12 * L1 * H123;
std::complex<double> L12L1H123t = L12L1H123.trace();
Eigen::MatrixXcd L12L1L13 = L12 * L1 * L13;
std::complex<double> L12L1L13t = L12L1L13.trace();
Eigen::MatrixXcd L12L1L2 = L12 * L1 * L2;
std::complex<double> L12L1L2t = L12L1L2.trace();
Eigen::MatrixXcd L12L1L23 = L12 * L1 * L23;
std::complex<double> L12L1L23t = L12L1L23.trace();
Eigen::MatrixXcd L12L1L3 = L12 * L1 * L3;
std::complex<double> L12L1L3t = L12L1L3.trace();
Eigen::MatrixXcd L12H123L13 = L12 * H123 * L13;
std::complex<double> L12H123L13t = L12H123L13.trace();
Eigen::MatrixXcd L12H123L2 = L12 * H123 * L2;
std::complex<double> L12H123L2t = L12H123L2.trace();
Eigen::MatrixXcd L12H123L23 = L12 * H123 * L23;
std::complex<double> L12H123L23t = L12H123L23.trace();
Eigen::MatrixXcd L12L13L2 = L12 * L13 * L2;
std::complex<double> L12L13L2t = L12L13L2.trace();
Eigen::MatrixXcd L12L13L23 = L12 * L13 * L23;
std::complex<double> L12L13L23t = L12L13L23.trace();