Matrix Sequence Convergence vs. Matrix Power Series Convergence – Linear Algebra

convergence-divergencelinear algebramatricessequences-and-series

Is my thinking correct?

The sequence $A^n$ converges if each entry converges to a finite number.

But for a matrix power series, $ I + A + \cdots + A^n + \cdots $ can never converge if it has, for example a "1" in the upper left corner, in entry $a_{11}$. Take, for simplicty, $A$ to be diagonal, so that the other diagonal entry is $.5$. This entry will eventually go to zero, but the "$1$" entry will accumulate to infinity.

So we really need, just as in the nth-term test for series convergence of real / complex numbers, for the matrices to tend to the zero-matrix, which I am guessing is a necessary but not sufficient condition for convergence.

What do you think?

Thanks,

Best Answer

I guess we're talking exclusively about matrix power series here.

It is indeed a necessary (but not sufficient) condition that, in order for $\sum A^n$ to converge, the $i,j$ entry of the matrix power $A^n$ must converge to zero as $n \to \infty$. If $$ A = \pmatrix{1\\&0.5\\ &&0.5} $$ then we indeed find that $\sum A^n$ diverges, since the $1,1$ entry is $1$ for every $n$.

So, if this is what you've been saying, then you're right so far.


However, in practice, it is unnecessarily difficult to compute each $i,j$ entry of a matrix. In the matter of converging matrices, it is significantly easier to consider a submultiplicative matrix norm. A particularly nice norm of this type is the Frobenius norm. In particular, we define $$ \|A\| = \sqrt{\sum_{i=1}^n\sum_{j=1}^n |a_{ij}|^2} $$ What we can say then is that a necessary condition for the convergence of $\sum A^n$ is that $\|A^n\| \to 0$ as $n \to \infty$.

A more impressive result is that a sufficient condition for the convergence of $\sum A^n$ is that $\|A\| < 1$.

Related Question