integral vs trapz vs sum
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The result obtained from trapz() differs in sign compared to the approximation from integral() and the summation approach for the following integration (note that integration is taken over E). From the following code, I get:
1.7136 from integral(),
-1.7099 from trapz(),
1.7136 from sum().
Why trapz() sign is different?
clear; clc;
%----------------------------- some constants -----------------------------
kx = -2*pi/(3*sqrt(3));
ky = 1*pi/3;
T = 10;
J = 1;
D = 0.8;
S = 1;
eta = 0.01;
beta = 1/(0.0863*T);
s0 = eye(2);
sx = [0, 1; 1, 0];
sy = [0, -1i; 1i, 0];
sz = [1, 0; 0, -1];
h0 = 3 * J * S;
hx = -J * S * (cos(ky / 2 - (3^(1/2) * kx) / 2) + cos(ky / 2 + (3^(1/2) * kx) / 2) + cos(ky));
hy = -J * S * (sin(ky / 2 - (3^(1/2) * kx) / 2) + sin(ky / 2 + (3^(1/2) * kx) / 2) - sin(ky));
hz = -2 * D * S * (sin(3^(1/2) * kx) + sin((3 * ky) / 2 - (3^(1/2) * kx) / 2) - sin((3 * ky) / 2 + (3^(1/2) * kx) / 2));
H = s0*h0 + sx*hx + sy*hy + sz*hz;
dkx_hx = -J*S*((3^(1/2)*sin(ky/2 - (3^(1/2)*kx)/2))/2 - (3^(1/2)*sin(ky/2 + (3^(1/2)*kx)/2))/2);
dkx_hy = J*S*((3^(1/2)*cos(ky/2 - (3^(1/2)*kx)/2))/2 - (3^(1/2)*cos(ky/2 + (3^(1/2)*kx)/2))/2);
dkx_hz = 2*D*S*((3^(1/2)*cos((3*ky)/2 - (3^(1/2)*kx)/2))/2 - 3^(1/2)*cos(3^(1/2)*kx) + (3^(1/2)*cos((3*ky)/2 + (3^(1/2)*kx)/2))/2);
dky_hx = J*S*(sin(ky/2 - (3^(1/2)*kx)/2)/2 + sin(ky/2 + (3^(1/2)*kx)/2)/2 + sin(ky));
dky_hy = -J*S*(cos(ky/2 - (3^(1/2)*kx)/2)/2 + cos(ky/2 + (3^(1/2)*kx)/2)/2 - cos(ky));
dky_hz = -2*D*S*((3*cos((3*ky)/2 - (3^(1/2)*kx)/2))/2 - (3*cos((3*ky)/2 + (3^(1/2)*kx)/2))/2);
X = sx*dkx_hx + sy*dkx_hy + sz*dkx_hz;
Y = sx*dky_hx + sy*dky_hy + sz*dky_hz;
G0R = @(E) inv(E*s0 - H + 1i*eta*s0);
fE = @(E) 1/( exp(beta*E) - 1 );
%--------------------------------------------------------------------------
%function:
fun = @(E) real(trace(1/2*fE(E)*E^2*(G0R(E)*X*G0R(E)*Y*G0R(E) - G0R(E)*Y*G0R(E)*X*G0R(E)) + (1/2*fE(E)*E^2*(G0R(E)*X*G0R(E)*Y*G0R(E) - G0R(E)*Y*G0R(E)*X*G0R(E)))'));
funn = @(E) arrayfun( @(E)fun(E), E ); %arrayfun
%limits:
Emin = -10;
Emax = 30;
dE = 1e-4;
Es = Emin:dE:Emax;
%integration using integral()
I_int = integral(funn,Emin,Emax);
%integration using trapz()
funn_values = funn(Es);
[~,indx] = find(isnan(funn_values)); % replacing NaN with mean value
for idx = indx
funn_values(idx) = ( funn_values(idx-1)+funn_values(idx+1) )/2;
end
I_trapz = trapz(funn_values,Es);
%integration using sum()
I_sum = sum(funn_values(:))*dE;
I = [I_int, I_trapz, I_sum]
% output: [1.7136 -1.7099 1.7136]
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