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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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