Here is my thought on your problem. Basically, your matrix which is a square and symmetric has elements which depend on the multi-variable vector $\mathbf{t}\in\mathbb{R}^m$. The characteristic polynomial this will generate in $\lambda$ will have coefficients which depend on your vector $\mathbf{t}$. Since finding the eigenvalues comes down to finding the roots of your polynomial there that, to me, would imply that the eigenvalues will be continuous function of $\mathbf{t}$ too. On a simple case thinking of a $2\times 2$ matrix with elements $A_{ij}(\mathbf{t})$, the polynomial would have the form
$$ \lambda^2 -Tr(\mathbf{M}(\mathbf{t}))\lambda + \det\mathbf{M}(\mathbf{t})$$
I think shows clearly that the Eigenvalues would, of course depend on $\mathbf{t}$ since the coefficient clearly depend on $\mathbf{t}$.