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Unformatted text preview: Inverting Matrices Math 108A: May 12, 2010 John Douglas Moore Recall that any linear transformation T : R n → R n can be represented in terms of the standard basis by an n × n matrix A = a 11 a 12 ··· a 1 n a 21 a 22 ··· a 2 n · · ··· · a n 1 a n 2 ··· a nn . In other words, the linear transformation can be represented in terms of the vector x = x 1 x 2 · x n as T ( x ) = A x . We can think of the linear transformation as taking x to y = y 1 y 2 · y n = a 11 a 12 ··· a 1 n a 21 a 22 ··· a 2 n · · ··· · a n 1 a n 2 ··· a nn x 1 x 2 · x n . If the linear transformation is one to one and onto, it possesses an inverse map T 1 , which is also a linear transformation, and is represented by a matrix B = b 11 b 12 ··· b 1 n b 21 b 22 ··· b 2 n · · ··· · b n 1 b n 2 ··· b...
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This note was uploaded on 06/05/2010 for the course MATH Math 108a taught by Professor Moore during the Spring '10 term at UCSB.
 Spring '10
 MOORE
 Linear Algebra, Algebra, Matrices

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