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Master Scalar Multiplication Properties in Matrix Operations

Linear Algebra: Master Core Concepts & Applications

Linear Equations with Matrices

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Row reduction and echelon forms

Linear combination and vector equations in \(R^n\)

Matrix equation Ax=b

Solution sets of linear systems

Application of linear systems

Solving systems of linear equations by graphing

Notation of matrices

The three types of matrix row operations

Representing linear system as a matrix

Representing a linear system as a matrix

Solving a linear system with matrices using Gaussian elimination

Linear Transformation

Linear independence

Image and range of linear transformations

Properties of linear transformation

The matrix of a linear transformation

Matrix Operations

Adding and subtracting matrices

Multiplying a matrix by a scalar

Multiplying a matrix by another matrix

Matrix multiplication

Zero matrix

Identity matrix

Properties of matrix addition

Properties of matrix scalar multiplication

Properties of matrix to matrix multiplication

Properties of matrix multiplication

Inverse of Matrices

The invertible matrix theorem

The determinant of a 2 x 2 matrix

The inverse of a 2 x 2 matrix

The inverse of a 3 x 3 matrices with matrix row operations

2 x 2 invertible matrix

Solving linear systems using 2 x 2 inverse matrices

Subspace of \(\Bbb{R}^n\)

Properties of subspace

Column space

Null space

Dimension and rank

Determinant of a Matrix

Properties of determinants

The determinant of a 3 x 3 matrix (General & Shortcut Method)

Solving linear systems using Cramer's Rule

Solving linear systems using Cramer"s Rule

Cramer"s Rule with 2 x 2 matrices

Eigenvalue and Eigenvectors

Eigenvalues and eigenvectors

The characteristic equation

Diagonalization

Complex eigenvalues

Discrete dynamical systems

Orthogonality and Least Squares

Inner product, length, and orthogonality

Orthogonal sets

Orthogonal projections

Least-squares problem

Applications to linear models

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Intro

Ex.1

Ex.2

In this lesson, we will look at the properties of matrix scalar multiplication. These properties include the dimension property for scalar multiplication, associative property, and distributive property. The dimension property states that multiplying a scalar with a matrix (call it A) will give another matrix that has the same dimensions as A. For the associative property, changing the order in which you multiple the matrices has no effect on the final computation. The distributive property states that a scalar can be distributed to the addition or subtraction of matrices. The addition or subtraction of scalars can also be distributed to a matrix. Lastly, we will learn that there is a multiplication property for zero matrices. This property states that multiplying a zero scalar with a matrix will result in a <a href="[[glossary.html|{"keyword":"Zero matrix"}]]">zero matrix</a>. In addition, any scalar multiplied by a zero matrix will result in a zero matrix.

Properties of scalar multiplication

Rules for matrix scalar multiplication

Scalar multiplication