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Math 141-copyright Joe Kahlig, 10B Page 1 Section 2.4: Introduction to Matrices Definition: A matrix is a rectangular array of numbers. The order or dimension of a matrix is m×nwhere m is the number of rows and n is the number of columns. The element in the ith row and the jth column of matrix A is denoted a or A =A . If the number of rows and columns i;j (i;j) i;j are equal, then the matrix is called a square matrix. Example: Use these matrices in the following. " 3 2 1 # 1 h i 1 3 0 A= B= 8 C= 0 2 5 6 D= 4 10 7 4 5 7 4 5 2 6 A) Give the dimension of the above matrices. B) A = B = 2;3 2;1 C) 4C +2A −7D = 1;3 1;2 2;2 Definition: Scalar multiplication is multiplying a matrix by a constant. Example : If A= " 1 2 3 # and B = " 2 0 −3 #, compute 4 5 6 7 1 0 2A= −1B= Addition and Subtraction of Matrices: Two matrices of the same dimension can be added( or subtracted) by adding (or subtracting) corresponding entries. Example: Compute the following (if possible) with these matrices. " 1 2 3 # " 2 0 −3 # 3 2 " 1 4 0 # A= B= , C= 1 6 D= 4 5 6 7 1 0 0 5 2 3 8 A) A+C = B) A+B= Math 141-copyright Joe Kahlig, 10B Page 2 C) 3A+2B = D) D−B= E) 1:7A−3:1B +2:4D = T F) A = Example: Find a matrix J such that JT = J Example: Solve for x and y. 3" 5 3 #+" 3 2x #T = " 18 −1 # y 7 −y −2 14 19
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