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Chapter 3 Elimination and Applications

In this chapter we explore the tactic of reducing a set of linear equations or expressions to an equivalent form from which various properties are more evident. This tactic is called elimination, and has a broad variety of applications including the solution of \(\A\x=\b,\) matrix inversion, and the calculation of many things we will learn about later including the determinant, nullspace characterization, and determination of eigenvalues and eigenvectors.