Linear recurrent sequences and matrices.

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Let $k$ be a field, let $d$ be an integer greater than $1$, let $(v,x)\in k^d\times k^d$ and let $A\in k^{d\times d}$ be invertible.

For all $n\in\mathbb{N}$, let define the following element of $k$: $$u_n:={}^tvA^nx.$$

I would like to show that:

$(u_n)_{n\in\mathbb{N}}$ is a recurrent linear sequence.

This fact is well-known when $A$ is a companion matrix (or its transpose, that depends on your definition).

Surely I can use Frobenius decomposition theorem and get the result, but that might be overkill.

Any hint will be appreciated!

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This should be the same as the linear systems we often get, just $y_n = A^n x.$ Here the matrix $A$ is square, you are calling it $d.$

The Cayley-Hamilton Theorem says that $A$ satisfies a polynomial, degree no larger than $d.$ The same equation is satisfied by the column vectors $y_{k+d}, y_{k+d-1}, \ldots, y_k.$ That is why the $d$ entries of $y$ each obey the same linear recursion.

Finally, your $u_n$ obeys the same recursion, coefficients are those of the characteristic polynomial of $A,$ or the minimal polynomial if that has smaller degree.

Here is a recent one How does one solve this recurrence relation?

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