Nested Numerical Integration with multivariable functions
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I am attempting to evaluate a nested integral in matlab. The equation comes from a paper I am reading and is a weighting function used within another integral. The weighting function I am trying to numerically calculate is the following:
The variables D,d, and L are constant. I tried symbolic integration, beginning with the inner integral, but the code does not perform the integration. Only returning the input with the integration bounds. I started looking into numerical integration but the trapz() function doesnt work well with symbols. My code is shown below. And of course this code doesnt work, but the other methods I have tried dont either. Is there a way to alter this code to work for me? Any suggestions?
clear;clc;
d=.01; %1/e patch diameter;
D=.35; %Aperture Diameter
L=7e3; %Propagation distance;
N=30; %number of terms in the numerical integration
delta_theta=.1; %[rad] angular separation between 2 patches. At L=7000m .1 rad is 70cm. (Like the width of a window)
syms x u theta z delta
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
%Calculate the 1st term
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%Define the coefficients
coeff=-11.64*(16/pi)^2*D^(-1/3);
%Define the 1st integrand
f1=x*exp(-2*x^2);
%Define the 3rd integrand
f3=((u*acos(u))-u^2*(3-2*u^2)*sqrt(1-u^2))*(u^2*(1-z/L)^2+(z*d*x/(D*L))^2+2*u*(1-z/L)*...
(z*d*x/(D*L))*cos(theta))^(5/6);
u_values=linspace(0,1,N);
inner=zeros(1, N);
for i=1:N
inner_integral=subs(f3,u,u_values(i));
inner(i)=inner_integral;
end
inner=trapz(u_values,inner);
%Evaluate the middle integral numerically
theta_values=linspace(0,2*pi,N);
middle=zeros(1, N);
for j=1:N
middle_integral=subs(inner(j),theta,theta_values(j));
middle(i)=middle_integral;
end
middle=trapz(theta_values,middle);
%Evaluate the outer integral numerically
x_values=linspace(0,10000,N);
outer=zeros(1, N);
for j=1:N
outer_integral=subs(f1*inner(j),x,x_values(j));
outer(i)=outer_integral;
end
outer=trapz(x_values,outer);
first_term=coeff*outer;
采纳的回答
Torsten
2023-8-23
d=.01; %1/e patch diameter;
D=.35; %Aperture Diameter
L=7e3; %Propagation distance;
coeff=-11.64*(16/pi)^2*D^(-1/3);
fun = @(x,u,theta,z)x.*exp(-2*x.^2).*(u.*acos(u)-u.^2.*(3-2*u.^2).*sqrt(1-u.^2)).*(u.^2.*(1-z/L).^2+(d*z*x/(D*L)).^2+2*u.*(1-z/L).*...
(z*d*x/(D*L)).*cos(theta)).^(5/6);
z = 0:50;
fz = coeff*arrayfun(@(z)integral3(@(x,u,theta)fun(x,u,theta,z),0,Inf,0,1,0,2*pi),z)
plot(z,fz)
grid on
3 个评论
Bruno Luong
2023-8-23
编辑:Bruno Luong
2023-8-23
For 4D integration you can call
- integral over integral3 or
- integral3 over integral or
- integral2 over integral2
- trapz over integral3 (for example you can call trapz over to compute )
- etc...
Torsten
2023-8-23
编辑:Torsten
2023-8-23
coeff2=(5.82/pi)*(16/pi)^2*D^(-1/3);
Z = linspace(0,L,N);
for i = 1:numel(Z)
z = Z(i);
fun2 = @(delta,x,u,theta)x.*exp(-2*x.^2)...
.*(u.*acos(u)-u.^2*(3-2*u.^2)*sqrt(1-u.^2))...
.*(u.^2.*(1-z/L).^2+(z*d/(D*L))^2*(x.^2+(L/d*delta_theta).^2-2*x*L/d*delta_theta.*cos(delta))...
+2*u.*(1-z/L)*(z*d/(D*L))*cos(theta)*sqrt(x.^2+(L/d*delta_theta).^2-2*x*L/d*delta_theta.*cos(delta))).^(5/6);
fz2(i) = coeff2*integral(@(x)integral3(@(delta,u,theta)fun2(delta,x,u,theta),0,2*pi,0,1,0,2*pi),0,Inf,'ArrayValued',true);
end
or maybe (if you think you can decipher in 2 weeks what you have done in the last line):
coeff2=(5.82/pi)*(16/pi)^2*D^(-1/3);
z = linspace(0,L,N);
fun2 = @(delta,x,u,theta,z)x.*exp(-2*x.^2)...
.*(u.*acos(u)-u.^2*(3-2*u.^2)*sqrt(1-u.^2))...
.*(u.^2.*(1-z/L).^2+(z*d/(D*L))^2*(x.^2+(L/d*delta_theta).^2-2*x*L/d*delta_theta.*cos(delta))...
+2*u.*(1-z/L)*(z*d/(D*L))*cos(theta)*sqrt(x.^2+(L/d*delta_theta).^2-2*x*L/d*delta_theta.*cos(delta))).^(5/6);
fz2 = coeff2*arrayfun(@(z)integral(@(x)integral3(@(delta,u,theta)fun2(delta,x,u,theta,z),0,2*pi,0,1,0,2*pi),0,Inf,'ArrayValued',true),z);
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