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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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