Expand the domain for the 1D fractional heat equation

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I have the Initial Value Problem for 1D fractional heat equation
with
And the exact solution being
So. I need to apply a numerical approximation to study it's rate of convergence
for
Here lies the problem. I have the program done. With the main issue being I can't expand the domain as asked without burning my computer
The following code takes 19 seconds to execute, if I expand the domain or reduce the step "h", the program takes too long to compute.
%format longE
tic
%Boundary conditions
a = -100; %Need to be -5000
b = 100; %Need to be 5000
T = 1;
%Alpha value, in this program we only need alpha = 1
alpha = 1;
%Aproximation
h = .125; %Need to be 10^-2
tau = h^alpha/100;
%Boundary conditions
f1 = @(x) 1./(1+x.^2);
%Exact solution
y = @(x,t) (t+1)./((t+1).^2 + x.^2);
%For the given values above, the result should be 0.0636. However, is the
%result I have is different
DFNLE(alpha,a,b,T,h,tau,f1,y);
timeElapsed = toc
Main function
function DFNLE(alpha,a,b,T,h,tau,f1,y)
n = (b-a)/h -1;
n = floor(n);
x = a:h:b;
m = T / tau;
m = floor(m);
t = 0:tau:T;
w = zeros(n+2,1);
v1 = zeros(n,1);
v2 = zeros(n,1);
%Minimum jump
theta = h^(1/3);
%C constante
C = 2^alpha * gamma(1/2+alpha/2) / (sqrt(pi)*abs(gamma(-alpha/2)));
%Known values of u
u = zeros(n+2,m+1);
u(:,1) = f1(x);
%Loop to create the weights
for k = 1:n+2
if k*h > theta
w(k) = C*h^(-alpha)/k^(alpha+1);
end
end
%CFL condition
if tau > 1/sum(w)
fprintf('The methot does not converge for tau = %s', tau);
return
end
%Main loop
for j = 1:m
for i = 1:n+2
for k = 1:n+2
%To calculate the sum, I separate it in two arrays, one that goes to the
%left and the other to the right
if i+k <= n+2
v1(k) = (u(i+k,j)-u(i,j))*w(k);
else
v1(k) = -u(i,j)*w(k);
end
if i-k >= 1
v2(k) = (u(i-k,j)-u(i,j))*w(k);
else
v2(k) = -u(i,j)*w(k);
end
end
u(i,j+1) = u(i,j)+tau*(sum(v1)+sum(v2));
end
end
[X,t2] = meshgrid(x,t);
u = sparse(u);
%Error
err = max(max(abs(u' - y(X,t2))));
fprintf('Error for the explicit methord, epsilon = %d', err)
% Drawing
% surf(X,t2,u');
% axis([-10 10 0 T 0 1])
% shading interp
% title(['Explicit methor for alpha = ', num2str(alpha)])
% xlabel('Variable x')
% ylabel('Variable t')
% zlabel('Función u')
end

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