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Solution Preserving Operations

Explore how solution preserving operations such as row swaps, scaling, and row sums can transform a system of linear equations into an equivalent system. Learn to perform these operations on augmented matrices and understand why they keep the system’s solutions unchanged, facilitating easier solving methods.

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 ...