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16. Systems of Linear Equations 1 Matrices and Systems of Linear ...

16. Systems of Linear Equations 1 Matrices and Systems of Linear ...

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March 31, 2013 16-232. The Fundamental Theorem <strong>of</strong> Algebra is an existence theorem. It givesno information about how to find the roots <strong>of</strong> a given polynomial z(r).For degree two, one can explicitly find the roots via that quadraticformula (i.e., involving square roots <strong>of</strong> expressions involving the coefficients).For degrees three <strong>and</strong> four, there also are explicit formulas to find theroots in terms <strong>of</strong> taking expressions involving various roots <strong>of</strong> the coefficients.For degree greater than four, there are no such formulas thatwork in all cases. This surprising result (<strong>of</strong>ten called the unsolvability<strong>of</strong> the quintic) was proved by Abel in 1823. For more information lookup the Abel-Ruffini Theorem on Wikipedia.Note that some texts call the polynomial z 1 (r) = det(A − rI) the characteristicpolynomial <strong>of</strong> A. Since z 1 (r) = (−1) n z(r), these two polynomialshave the same roots, so to solve problems concerning eigenvalues, it reallydoes not matter which definition is used.Of course, even if A is real, the characteristic polynomial z(r) may havereal or complex roots. A real eigenvalue will have associated eigenvectorswhich are also real, <strong>and</strong> a complex eigenvalue will only have associated complexeigenvectors (i.e. written as u 1 + iu 2 with u 1 <strong>and</strong> u 2 both real vectors<strong>and</strong> u 2 non-zero).6.1 Simple formulas for the characteristic polynomials<strong>of</strong> 2 × 2 <strong>and</strong> 3 × 3 matricesFor any matrix A = (a ij ), define the trace <strong>of</strong> A to ben∑tr(A) = a iii=1Thus, tr(A) is simply the sum <strong>of</strong> the diagonal entries.If( )a bA = ,c dthen

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