Transcription of Introduction to Linear Algebra, 5th Edition
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22 Chapter 1. Introduction to matrices '&$%1A= 1 23 45 6 is a3by2matrix :m= 3rows andn= 1 23 45 6 x1x2 is acombination of the columnsAx=x1 135 +x2 246 .3 The3components ofAxare dot products of the3rows ofAwith the vectorx:Row at a time 1 23 45 6 78 = 1 7 + 2 83 7 + 4 85 7 + 6 8 = 235383 .4 equations in matrix formAx=b: 2 53 7 x1x2 = b1b2 replaces2x1+ 5x2=b13x1+ 7x2= solution toAx=bcan be written asx=A 1b. But some matrices don t allowA section starts with three vectorsu,v,w. I will combine them vectorsu= 1 10 v= 01 1 w= 001 .Their Linear combinations in three-dimensional space arex1u+x2v+x3w:Combinationof the vectorsx1 1 10 +x2 01 1 +x3 001 = x1x2 x1x3 x2 .(1)Now something important:Rewrite that combination using a matrix. The vectorsu,v,wgo into the columns of the matrixA. That matrix multiplies the vector(x1, x2, x3) :Matrix times vectorCombination of columnsAx= 1 0 0 1 1 00 1 1 x1x2x3 = x1x2 x1x3 x2.
1.3 Matrices 1 A = ... Linear Equations One more change in viewpoint is crucial. Up to now, the numbers x 1,x 2,x 3 were known. The right hand side b was not known. We found that vector of differences by multiplying A times x. Now we think of b as known and we look for x.
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LinearEquationsandMatrices, Linear Equations and Matrices, Equations, Linear, For Linear Systems of Differential Equations, Linear systems of differential equations, Matrices, Linear algebra, Linear equations, Inverse matrix to solve equations, Solving Simultaneous Equations and Matrices, Linear Algebra I - Lectures Notes - Spring