Linear Algebra - Matrix Algebra Module

# Linear Algebra - Matrix Algebra Module - Bill Knowlton and...

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Unformatted text preview: Bill Knowlton and Wan Kuang ECE and MSE Departments Boise State University Linear Algebra and Matrix Algebra Module Linear equations are very common in Engineering and science problems. This tutorial will teach you how to use Mathemat- ica to solve such equations. Given three linear equations, 4x + 3y + (-1) z = 9 5x + (-9) y+2 z = 3 x + y + z = 1 the unknowns x , y , and z can be solved directly with Solve . For example, Clear @ x, y, z D Solve @8 4 x + 3 y + H − 1 L z == 9, 5 x + H − 9 L y + 2 z == 3, x + y + z == 1 < , 8 x, y, z <D 99 x → 114 cccccccccc 67 , y → 25 ccccccc 67 , z → − 72 ccccccc 67 == However a more efficient approach is to take advantage of matrix mathematics. The unknowns x , y , and z in the previous equations can be written as, i k j j j j j j j 4 3 − 1 5 − 9 2 1 1 1 y { z z z z z z z i k j j j j j j j x y z y { z z z z z z z = i k j j j j j j j 9 3 1 y { z z z z z z z The three unknowns can be calculated directly with LinearSolve . LinearSolve works on both numerical and symbolic matrices, as well as SparseArray objects. For example, M1 = 88 4, 3, − 1 < , 8 5, − 9, 2 < , 8 1, 1, 1 << ; M2 = 88 9 < , 8 3 < , 8 1 << ; xyzAnswer = LinearSolve @ M1, M2 D ; Print @ " 8 x,y,z < = ", xyzAnswer D 8 x,y,z < = 99 114 cccccccccc 67 = , 9 25 ccccccc 67 = , 9 − 72 ccccccc 67 == in which, M1 is the coefficient matrix and M2 is a column vector representing the right-hand-side of the equations. Note that the matrix can also be solved by multiplying the inversion of M1 and M2, however such an approach is far slower and...
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## This note was uploaded on 10/16/2011 for the course ENGINEERIN MSE 310 taught by Professor Billknowlton during the Spring '10 term at Boise State.

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Linear Algebra - Matrix Algebra Module - Bill Knowlton and...

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