Transcription of Introduction - UCONN
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THE MINIMAL POLYNOMIAL AND SOME APPLICATIONSKEITH easiest matrices to compute with are the diagonal ones. The sum and product ofdiagonal matrices can be computed componentwise along the main diagonal, and takingpowers of a diagonal matrix is simple too. All the complications of matrix operations aregone when working only with diagonal matrices. If a matrixAis not diagonal but can beconjugated to a diagonal matrix, sayD:=PAP 1is diagonal, thenA=P 1 DPsoAk=P 1 DkPfor all integersk, which reduces us to computations with a diagonal matrix. Inmany applications of linear algebra ( , dynamical systems, differential equations, Markovchains, recursive sequences) powers of a matrix are crucial to understanding the situation,so the relevance of knowing when we can conjugate a nondiagonal matrix into a diagonalmatrix is want look at the coordinate-free formulation of the idea of a diagonal matrix, whichwill be called a diagonalizable operator. There is a special polynomial, the minimal polyno-mial (generally not equal to the characteristic polynomial), which will tell us exactly whena linear operator is diagonalizable.
THE MINIMAL POLYNOMIAL AND SOME APPLICATIONS KEITH CONRAD 1. Introduction The easiest matrices to compute with …
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