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Linear Algebra is a branch of mathematics that deals with vectors, vector spaces (also called linear spaces), linear transformations, and systems of linear equations. It is fundamental to both pure and applied mathematics and is used extensively in science, engineering, computer science, data science, economics, and more.

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Systems of Linear Equations


1 Introduction to Systems of Linear Equations
2 Gaussian Elimination and Gauss-Jordan Elimination

Geetha Sivaraman
St. Joseph’s College Tiruchirappalli

, 1.1 Introduction to Systems of Linear Equations

◼ a linear equation in n variables:


a1,a2,a3,…,an, b: real number
a1: leading coefficient
x1: leading variable
◼ Notes:
(1) Linear equations have no products or roots of variables and
no variables involved in trigonometric, exponential, or
logarithmic functions.

(2) Variables appear only to the first power.

, ◼ Ex 1: (Linear or Nonlinear)
1
Linear (a ) 3x + 2 y = 7 ( b) x + y −  z = 2 Linear
2


Linear ( c ) x1 − 2 x 2 + 10 x3 + x 4 = 0 ( d ) ( sin ) x1 − 4 x 2 = e 2
Linear
2
Exponentia l
Nonlinear ( e ) xy + z = 2 ( f ) e x
− 2y = 4 Nonlinear
not the first power
1 1
Nonlinear ( g ) sinx1 + 2 x2 − 3x3 = 0 (h) + = 4 Nonlinear
x y
trigonomet ric functions not the first power

, ◼ a solution of a linear equation in n variables:
a1 x1 + a2 x2 + a3 x3 +  + an xn = b

x1 = s1 , x2 = s2 , x3 = s3 , , xn = sn
such a1s1 + a2 s2 + a3 s3 +  + an sn = b
that
◼ Solution set:
the set of all solutions of a linear equation

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