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1.1 Linear System
Math 2331 – Linear Algebra
1.1 Systems of Linear Equations
Jiwen He
Department of Mathematics, University of Houston
jiwenhe@math.uh.edu
math.uh.edu/∼jiwenhe/math2331
Jiwen He, University of Houston Math 2331, Linear Algebra 1 / 19
1.1 Linear System Definition Fact Equivalence Matrix Reduction Consistency
1.1 Systems of Linear Equations
Basic Fact on Solution of a Linear System
Example: Two Equations in Two Variables
Example: Three Equations in Three Variables
Consistency
Equivalent Systems
Strategy for Solving a Linear System
Matrix Notation
Solving a System in Matrix Form by Row Eliminations
Elementary Row Operations
Row Eliminations to a Triangular Form
Row Eliminations to a Diagonal Form
Two Fundamental Questions
Existence
Uniqueness
Jiwen He, University of Houston Math 2331, Linear Algebra 2 / 19
1.1 Linear System Definition Fact Equivalence Matrix Reduction Consistency
Linear Equation
ALinear Equation
a x +a x +···+a x =b
1 1 2 2 n n
Examples (Linear)
√
4x −5x +2=x and x =2( 6−x )+x
1 2 1 2 1 3
↓ ↓
rearranged rearranged
↓ ↓ √
3x −5x =−2 2x +x −x =2 6
1 2 1 2 3
Examples (Not Linear)
√
4x1 −6x2 = x1x2 and x2 = 2 x1 −7
Jiwen He, University of Houston Math 2331, Linear Algebra 3 / 19
1.1 Linear System Definition Fact Equivalence Matrix Reduction Consistency
Linear System
Asolution of a System of Linear Equations
Alist (s ,s ,...,s ) of numbers that makes each equation in the
1 2 n
system true when the values s ,s ,...,s are substituted for
1 2 n
x1,x2,...,xn, respectively.
Examples (Two Equations in Two Variables)
Each equation determines a line in 2-space.
x1 + x2 = 10 x1 − 2x2 = −3
−x1 + x2 = 0 2x1 − 4x2 = 8
one unique solution no solution
Jiwen He, University of Houston Math 2331, Linear Algebra 4 / 19
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