Applied Mathematics, Statistics, Data Science, Linear Algebra.
always the case with Markov matrices. And that makes the characteristic polynomial easy to solve. We always know that the trace of A — the sum of A’s elements down the diagonal — is equal to the sum of the eigenvalues. If one of them is 1, then the other must be 1.75 minus 1 or .75. Those are our