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Sorry for my late reply.
Powering rank deficient matrices whose size >= 3x3 will reproduce this bug.
To compute A^p, we Schur-decompose A to U T U* and compute U T^p U*. T is upper
triangular with eigenvalues of A on the diagonal.
For triangular matrix T whose size >= 3x3, We use continued fraction of (I - T)
to compute powers of T, which requires norm of (I - T) to be sufficiently small.
If norm(I-T) is too large, we sqrt (I - T) and then square the result.
If A has a zero eigenvalue, there is a zero on diag of T. Therefore, there is an 1
on diag of (I - T), enlarging (I - T).norm(), making Eigen sqrt'ing (I - T).
However, no matter how many times (I - T) is sqrt'ed, the 1 stands still on its
diag, leading to an infinite loop.
I will finish my final exam at 8:50 tomorrow UTC. I will work on this since
On Tuesday, 2013-06-18 20:08:32，Dale Lukas Peterson wrote:
> A simpler test case that works is:
> Eigen::MatrixXd A(2, 2);
> A << 0, 0, 0, 1;
Powers of 2x2 triangular matrices are directly computed. :)
> Yet a just barely more complicated case that does not work (i.e., it hangs) is:
> Eigen::MatrixXd A(3, 3);
> A << 0, 0, 0,
> 0, 0, 0,
> 0, 0, 1;
> Maybe this will help with tracking down the bug.
Thanks for your discovery!
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