Solve the partial differential equation using Crank-Nicolson method.
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Hello everyone,
you may see my questions here from time to time. I'm a beginner in Mathlab and trying to solve some equations, then ask for advice if I accounter any errors.
I tried to solve a PDE using Crank-Nicolson method. I wrote a code but I'm still getting some errors, which didn't allow me to get the final results. any advice, please.
I attached the code and the question.
Thank you
採用された回答
Hi.
you forget to put index in x vector in line 70, in equation you calculate Ur. that's the error.
Ur(i,j) = 0.5*erfc(0.5*(x(i)-t(j+1))./(B*sqrt(t(j+1))))+0.5*exp(x(i)/B^2).*erfc(0.5*(x(i)+t(j+1))/(B*sqrt(t(j+1))));
and also you put j+1 in t, but j is from 1 to M=1651. but at j=1651 the t(1652) doesn't exist. so correct that too.
8 件のコメント
Hi Abolfazi,
I'm still getting this :
Index exceeds the number of array elements. Index must not exceed 1651.
Error in Cp32nd (line 70)
Ur(i,j) = 0.5*erfc(0.5*(x(i)-t(j+1))./(B*sqrt(t(j+1))))+0.5*exp(x(i)/B^2).*erfc(0.5*(x(i)+t(j+1))/(B*sqrt(t(j+1))));
Abolfazl Chaman Motlagh
2022 年 2 月 18 日
編集済み: Abolfazl Chaman Motlagh
2022 年 2 月 18 日
yeah exactly, i warn you about that in last line. you can do this:
Ur(i,j) = 0.5*erfc(0.5*(x(i)-t(j))./(B*sqrt(t(j))))+0.5*exp(x(i)/B^2).*erfc(0.5*(x(i)+t(j))/(B*sqrt(t(j))));
Or if you should insert j+1 in Ur formula do this in line 68
for j=1:M-1 %Time Loop
I just made the modifications, but the plot I'm getting seems to be totaly wrong as it shows in the attached file
it seems the code is working, but the wrong solution is the result of wrong implementation of Crank-Nicolson method. the U and Ur are not even close to each other in large t (time). in this case i need some time to crack the first numeric part of your code to see what is wrong with it.
I attached the descritezation I did for crack-Nicolson method. Olease see the attached file
I kept checking the code from the yesterday but I'm still getting the same plots. I think the problem with both the analytical and numerical solution
Hi hana.
i check your code, i couldn't figure it out exactly. there were a lot of ambiguities for me. specially variable d that you change it in every loop but never use it!
i tried to solve it myself. since my first try failed, the problem really got me :) . i literally solve the problem (discretization) more than 5 times from scratch. finally it works. the linear system is really sensitive to one little mistake in calculations.
i attached my code and also my formula for solution. hopes it is what you need.
here's final solution for 2 different discretization and the analytical approximation the pdf provide:

Hello Dear
Can you help me with the code
I know something is wrong with the right boundary condition.
I have used mittag leffler function for initial and boundry conditions.
% clear; clc;
dx = 1/1000;
dt = 1/300000; % 1/3300
i_max = round(1/dx) + 1;
n_min = 1;
n_max = 10;
a=0.5;
La=(dx/dt)^a;
%beta = sqrt(1/878);
%r = dt / (4*dx);
%alpha = (dt*(beta^2))/(2*(dx^2));
% a = r-alpha;
b = 2*La;
%c = - (r+alpha);
%b_ = 1 - 2*alpha;
A = b * eye(i_max-2);
for k=1:size(A,1)
if k<size(A,1)
A(k,k+1) = 1;
end
if k>1
A(k,k-1) = -1;
end
end
% A(end) = A(end) + a;% right boundry condition
% u(nx,j)=((mlf(a,1,((nx-1).*dx).^a,7)-mlf(a,1,-1.*(((nx-1).*dx).^a),7))./2).*((mlf(a,1,((j-1).*dt).^a,7)+mlf(a,1,-1.*((j-1).*dt).^a,7))./2)-((mlf(a,1,((nx-1).*dx).^a,7)+mlf(a,1,-1.*(((nx-1).*dx).^a),7))./2).*((mlf(a,1,((j-1).*dt).^a,7)-mlf(a,1,-1.*((j-1).*dt).^a,7))./2);
A;
U = zeros(i_max,n_max);
% U(:,1) = 0;
% initial Condition
for i=2:i_max
U(i,1)=(mlf(a,1,((i-1).*dx).^a,7)-mlf(a,1,-1.*(((i-1).*dx).^a),7))./2;
end
% U(1,:) = 1;
% left and right boundry condition
for j=1:n_max
U(1,j)=-((mlf(a,1,((j-1).*dt).^a,7)-mlf(a,1,-1.*(((j-1).*dt).^a),7))./2); %left
U(i_max,j)=((mlf(a,1,((i_max-1).*dx).^a,7)-mlf(a,1,-1.*(((i_max-1).*dx).^a),7))./2).*((mlf(a,1,((j-1).*dt).^a,7)...
+mlf(a,1,-1.*((j-1).*dt).^a,7))./2)-((mlf(a,1,((i_max-1).*dx).^a,7)+mlf(a,1,-1.*(((i_max-1).*dx).^a),7))./2).*((mlf(a,1,((j-1).*dt).^a,7)...
-mlf(a,1,-1.*((j-1).*dt).^a,7))./2); %right
end
U;
for n = n_min:n_max-1
RHS = zeros(i_max-2,1);
for l = 1:size(A,1)
if l==1
RHS(l) = b * U(l+1,n) - U(l+2,n) + U(l,n) + U(1,n+1);
elseif l==size(A,1)
RHS(l) = b * U(l+1,n)- U(l+2,n) + U(l,n) - U(l+2,n+1);
else
RHS(l)=b * U(l+1,n) - U(l+2,n) + U(1,n);
end
end
u_local = A\RHS;
U(2:end-1,n+1) = u_local;
U(end,n+1) = u_local(end); % right boundry condition
end
U;
Ur = zeros(i_max,n_max);
Error = zeros(i_max,n_max);
x = @(i) ((i-1)*dx);
t = @(i) ((i-1)*dt);
%Exact Solution is here and Error
for jjj=1:n_max
for iii=1:i_max
Ur(iii,jjj)=((mlf(a,1,((iii-1).*dx).^a,7)-mlf(a,1,-1.*(((iii-1).*dx).^a),7))./2).*((mlf(a,1,((jjj-1).*dt).^a,7)+mlf(a,1,-1.*((jjj-1).*dt).^a,7))./2)-((mlf(a,1,((iii-1).*dx).^a,7)+mlf(a,1,-1.*(((iii-1).*dx).^a),7))./2).*((mlf(a,1,((jjj-1).*dt).^a,7)-mlf(a,1,-1.*((jjj-1).*dt).^a,7))./2);
Error(iii,jjj)=abs(Ur(iii,jjj)-U(iii,jjj));
end
end
U
Ur
Error
% for j=1:n_max %Time Loop
% for i=1:i_max %Space Loop
% Ur(i,j) = 0.5*erfc(0.5*(x(i)-t(j))/(beta*sqrt(t(j))))+0.5*exp(x(i)/(beta^2)).*erfc(0.5*(x(i)+t(j))/(beta*sqrt(t(j))));
% Error(i,j)=abs(Ur(i,j)-U(i,j));
% end
% end
% %% Final Plot
% x = 0:dx:1;
% figure;
% plot(x,U(:,end),'LineWidth',2); hold on;grid on;
% plot(x,Ur(:,end),'LineWidth',2);
% title(['T = ' num2str(dt * n_max)]);
% pause(0.5);
% %% Animation over Time
% x = 0:dx:1;
% figure;
% for i=1:size(U,2)
% plot(x,U(:,i),'LineWidth',2); hold on;grid on;
% plot(x,Ur(:,i),'LineWidth',2);
% title(num2str((i-1)*dt));
% hold off;
% pause(dt)
% end
その他の回答 (1 件)
Hana Bachi
2022 年 2 月 22 日
Hello Abolfazi,
thank you so much for giving from your time to solve this problem, I deeply appreciate it.
The d term in my code is RHS in yours.
I found that I forget to multiply some terms by B^2, and I added dt/2 somewhere to, this is why it was showing big difference between the two solution.
But I think yours make more sence then the one I got
here is mine after writing the code

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2022 年 2 月 18 日
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