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Unformatted text preview: Lecture Note 3 Dr. Jeff ChakFu WONG Department of Mathematics Chinese University of Hong Kong [email protected] MAT 2310 Linear Algebra and Its Applications Fall, 2007 Produced by Jeff ChakFu WONG 1 L INEAR E QUATIONS AND M ATRICES 1. Linear Systems 2. Matrices 3. Dot Product and Matrix Multiplication 4. Properties of Matrix Operations 5. Solutions of Linear Systems of Equations 6. The Inverse of A Matrix 7. LUFactorization LINEAR EQUATIONS AND MATRICES 2 S OLUTIONS OF L INEAR S YSTEMS OF E QUATIONS SOLUTIONS OF LINEAR SYSTEMS OF EQUATIONS 3 Our ultimate goal is to study: 1. Solving linear system (a) GaussJordan reduction reduced row echelon method + elementary row operations (b) Gaussian elimination row echelon method + elementary row operations + back substitution (c) Consistent/Inconsisent system i. If there is at least one solution, it is called consistent . ii. A system of equations that has no solutions is said to be inconsistent . 2. Homogeneous system (a) trivial solution (b) nontrivial solution SOLUTIONS OF LINEAR SYSTEMS OF EQUATIONS 4 DEFINITION  An m × n matrix A is said to be in reduced row echelon form if it satisfies the following properties: (a) All zero rows, if there are any, appear at the bottom of the matrix. (b) The first nonzero entry from the left of a nonzero row is a 1 . This entry is called a leading one of its row. (c) For each nonzero row, the leading one appears to the right and below any leading one’s in preceding rows. (d) If a column contains a leading one, then all other entries in that column are zero. Note that a matrix in reduced row echelon form appears as a staircase (“echelon") pattern of leading ones descending from the upper left corner of the matrix. An m × n matrix satisfying properties (a) , (b) and (c) is said to be in row echelon form . A row echelon matrix takes its name from the French word “echelon" meaning “step". When a matrix is in row echelon form, the path formed by leading nonzero entries resembles a staircase. SOLUTIONS OF LINEAR SYSTEMS OF EQUATIONS 6 Example 1 The following are matrices in reduced row echelon form since they satisfy properties (a), (b), (c) and (d): A = 1 1 1 1 , B = 1 0 0 0 2 4 1 0 0 4 8 0 0 0 1 7 2 0 0 0 0 0 0 0 0 and C = 1 2 0 0 1 0 0 1 2 3 0 0 0 0 0 . SOLUTIONS OF LINEAR SYSTEMS OF EQUATIONS 7 The following matrices are not in reduced row echelon form (Why not?) D = 1 2 0 4 0 0 1 3 , E = 1 0 3 4 2 2 5 0 0 1 2 , F = 1 0 3 4 1 2 5 1 2 2 0 0 0 0 , G = 1 2 3 4 0 1 2 5 0 0 1 2 0 0 0 0 ....
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This note was uploaded on 05/18/2010 for the course MATHEMATIC MAT2310 taught by Professor Dr.jeffchakfuwong during the Spring '06 term at CUHK.
 Spring '06
 Dr.JeffChakFuWONG
 Algebra, Linear Systems, Matrices

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