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Solution Preserving Operations

Solution Preserving Operations

Learn to represent a linear system as an augmented matrix and to use the elementary (solution preserving) row operations.

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Earlier, while defining linear systems, we discussed the different possibilities of the solution of a linear system. In this chapter, we’ll describe how we can achieve those possibilities. Let’s start by learning the foundations before moving on to a systematic approach.

Augmented matrix

We’ve already learned two different representations of a system of linear equations. We started with a set of linear equations, that is,

a11x1+a12x2+...+a1nxn=y1a_{11}x_1 + a_{12}x_2+...+ a_{1n}x_n = y_1

a21x1+a22x2+...+a2nxn=y2a_{21}x_1 + a_{22}x_2+...+ a_{2n}x_n = y_2

\vdots

am1x1+am2x2+...+amnxn=yma_{m1}x_1 + a_{m2}x_2+...+ a_{mn}x_n = y_m ...