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For a linear ODE $\frac{d\textbf{x}}{dt}=A\textbf{x}$ with symbolic parameters, i.e. $A$ is a matrix with symbolics such as $A=[k1,k2;k3,k4]$, how to efficiently get the symbolic solution from MATLAB?

I used MATLAB dsolve, and it works when dimension is low. For a bit high dimension such as $\mathrm{dim}(\textbf{x})=10$, it is extremely slow. Is there alternative way?

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  • $\begingroup$ Are $k1,\cdots,kn$ numbers or symbols as well? $\endgroup$ – Bort Jan 6 at 12:21
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    $\begingroup$ Can it solve it for 10-dimensional problems? Solving you equation is equivalent to diagonalize the matrix A, and this problem can't be solved analytically for general matrices A for dimensions 5 and higher. $\endgroup$ – nicoguaro Jan 6 at 15:47
  • $\begingroup$ @Bort, Yes, they are. $\endgroup$ – Jay Jan 6 at 16:31
  • $\begingroup$ @nicoguaro, good comments, thanks! If it is not analytically solvable, we have to give some initial values for the matrix $A$. Then, my question becomes an numerical fitting problem: what would be a good way to fit matrix $A$ to match the solution of this high dimensional linear ODE with some data points? $\endgroup$ – Jay Jan 6 at 16:36
  • $\begingroup$ I don't think that I completely understand your question. You can numerically diagonalize your matrix A and then use that information to find an "analytic" solution. $\endgroup$ – nicoguaro Jan 6 at 21:40

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