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Matrix Algebra Fall 2018, San Jose State University Prof. Guangliang Chen September 13, 2018 Outline Matrix multiplication again Sections 2.1-2.3 Matrix operations • Matrix addition/subtraction • Matrix multiplication • Matrix powers • Matrix transpose • Matrix inverse • The Invertible Matrix Theorem Matrix Algebra Sections 2.4 Partitioned matrices Prof. Guangliang Chen | Mathematics & Statistics, San José State University 3/60 Matrix Algebra Introduction Matrices are two dimensional arrays of real numbers that are arranged along rows (first dimension) and columns (second dimension): a a · · · a 11 12 1n a a · · · a A= 21 22 2n=[a a ::: a ]: . . . . 1 2 n . . .. . . . . a a · · · a m1 m2 mn We denote matrices that have m rows and n columns by A ∈ Rm×n, and say that the size of the matrix is m × n. Vectors can be regarded as matrices with size n × 1 (column) or 1 × n (row). Sometimes, we also use notation like A = (a ) , or even A = (a ). ij 1≤i≤m;1≤j≤n ij Prof. Guangliang Chen | Mathematics & Statistics, San José State University 4/60
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