Solving differential equation by specifying jacobian pattern

This is a follow up to my previous question posted here

I’m trying to construct the sparsity pattern of the jacobian matrix to speed up the computation of a large system of odes. The following is the code in which I am trying to set up the jpattern in
odeset for a toy model in MATLAB.

global mat1 mat2
mat1=[ 
       1    -2     1     0     0     0     0     0     0     0;
       0     1    -2     1     0     0     0     0     0     0;
       0     0     1    -2     1     0     0     0     0     0;
       0     0     0     1    -2     1     0     0     0     0;
       0     0     0     0     1    -2     1     0     0     0;
       0     0     0     0     0     1    -2     1     0     0;
       0     0     0     0     0     0     1    -2     1     0;
       0     0     0     0     0     0     0     1    -2     1;
       ];

mat2 = [
        1    -1     0     0     0     0     0     0     0     0;
        0     1    -1     0     0     0     0     0     0     0;
        0     0     1    -1     0     0     0     0     0     0;
        0     0     0     1    -1     0     0     0     0     0;
        0     0     0     0     1    -1     0     0     0     0;
        0     0     0     0     0     1    -1     0     0     0;
        0     0     0     0     0     0     1    -1     0     0;
        0     0     0     0     0     0     0     1    -1     0;
        ];



x0 = [1 0 0 0 0 0 0 0 0 0]';
tspan = 0:0.01:5;

f0 = fun(0, x0);
joptions = struct('diffvar', 2, 'vectvars', 1, 'thresh', 1e-8, 'fac', []);
J = odenumjac(@fun,{0 x0}, f0, joptions); 
sparsity_pattern = sparse(J~=0.);
options = odeset('Stats', 'on', 'JPattern', sparsity_pattern);

ttic = tic();
[t, sol]  =  ode15s(@(t,x) fun(t,x), tspan , x0); %, options);
ttoc = toc(ttic)
fprintf('runtime %f seconds ...n', ttoc)
plot(t, sol)

function f = fun(t,x)
global mat1 mat2

fprintf('size of x: %d %dn', size(x))

f(1,1) = 0;
f(2:9,1) = mat1*x + mat2*x;
f(10,1) = 2*(x(end-1) - x(end));
end

When I run the code, I notice that the size of the vector x in fun changes for the second iteration
because of which an error occurs.

size of x: 10 1
size of x: 10 10

Error:

Unable to perform assignment because the size of the left side is 8-by-1 and the size of the right side is 8-by-10.

Error in Untitled>fun (line 47)
f(2:9,1) = mat1*x + mat2*x;

Error in odenumjac (line 143)
    Fdel = feval(F,Fargs_expanded{:});

Error in Untitled (line 31)
J = odenumjac(@fun,{0 x0}, f0, joptions);

Suggestions on how to fix this error will be really helpful.

EDIT:

I’ve tried to vectorize f in fun and also set vectvars=2 to vectorize the jacobian calculation.

global mat1 mat2
mat1=[ 
       1    -2     1     0     0     0     0     0     0     0;
       0     1    -2     1     0     0     0     0     0     0;
       0     0     1    -2     1     0     0     0     0     0;
       0     0     0     1    -2     1     0     0     0     0;
       0     0     0     0     1    -2     1     0     0     0;
       0     0     0     0     0     1    -2     1     0     0;
       0     0     0     0     0     0     1    -2     1     0;
       0     0     0     0     0     0     0     1    -2     1;
       ];

mat2 = [
        1    -1     0     0     0     0     0     0     0     0;
        0     1    -1     0     0     0     0     0     0     0;
        0     0     1    -1     0     0     0     0     0     0;
        0     0     0     1    -1     0     0     0     0     0;
        0     0     0     0     1    -1     0     0     0     0;
        0     0     0     0     0     1    -1     0     0     0;
        0     0     0     0     0     0     1    -1     0     0;
        0     0     0     0     0     0     0     1    -1     0;
        ];



x0 = [1 0 0 0 0 0 0 0 0 0]';
tspan = 0:0.01:5;

f0 = fun(0, x0);
joptions = struct('diffvar', 2, 'vectvars', 2, 'thresh', 1e-8, 'fac', []);
J = odenumjac(@fun,{0 x0}, f0, joptions); 
sparsity_pattern = sparse(J~=0.);
options = odeset('Stats', 'on', 'JPattern', sparsity_pattern, 'Vectorized', 'on');

ttic = tic();
[t, sol]  =  ode15s(@(t,x) fun(t,x), tspan , x0, options);
ttoc = toc(ttic)
fprintf('runtime %f seconds ...n', ttoc)
plot(t, sol)

function f = fun(t,x)
global mat1 mat2
f(1,:) = 0;
f(2:9,:) = mat1*x + mat2*x;
f(10,:) = 2*(x(end-1) - x(end));
end

However, there is a problem again when vectvars = 2 in joptions and/or ‘Vectorized’, ‘on’ in options defined for ode15s.

Unable to perform assignment because the size of the left side is 8-by-1 and the size of the right side is 8-by-10.

Error in cse_11_5_20>fun (line 44)
f(2:9,:) = mat1*x + mat2*x;

Error in odenumjac (line 143)
    Fdel = feval(F,Fargs_expanded{:});

Error in cse_11_5_20 (line 31)
J = odenumjac(@fun,{0 x0}, f0, joptions);