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Linear Algebra

Summary

Solving linear systems of equations using Gauss Jordan Method.

•Matrix form of equation .

•Rank of a matrix can tell us whether the system is

Inconsistent


Consistent with unique solution

Consistent with infinite solutions

Summary Matrices and Vectors

Summary Reflection and Scaling

Examples

Linear Transformation Matrices

Let A be a m · n matrix, and denote vectors in and c be a real
number

Then

Linear Transformation Functions

Definition

A function is said to be a linear transformation if and only if

for all

for all

Linear Transformation Example

Linear Transformation Matrix of a Linear Transformation

Given a linear transformation the matrix of the linear
transformation is given by

Linear Transformation Matrices and Linear Transformations

•n ·1 Column matrix are Vectors in .

•m ·n Matrices define linear transformations to

Adding matrices is adding linear transformations.

Multiplying matrices is composing linear transformations.

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