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Video overview of all types of operations
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Representation of Matrices
It is standard mathematical convention to represent matrices in any of the following three ways.
A matrix can be denoted by an uppercase letter such as A, B, or C.
2. A matrix can be denoted by a representative element enclosed in brackets, such as [axy], [bxy], or [cxy]
A matrix can be denoted by a rectangular array of numbers such as the matrix in the picture
![<ol><li><p>A matrix can be denoted by an uppercase letter such as A, B, or C. </p></li><li><p>2. A matrix can be denoted by a representative element enclosed in brackets, such as [a<sub>xy</sub>], [b<sub>xy</sub>], or [c<sub>xy</sub>] </p></li><li><p> A matrix can be denoted by a rectangular array of numbers such as the matrix in the picture </p></li></ol><p></p>](https://assets.knowt.com/user-attachments/484b31bc-ea43-46c0-863a-d92697805b48.png)
Equality of Matrices
2 matricies A=[axy] and B=[bxy] are Equal if they have the same order (mxn) and axy=bxy
BASICALLY SAYING THAT 2 matrices are equal if their corresponding entries are equal and have the same order so all entries are corresponding
Example 1 in book Equality of Matrices

Now onto Matrix Addition and Scalar Multiplication introduction
In this section, three basic matrix operations will be covered. The first two are matrix addition and scalar multiplication. With matrix addition, you can add two matrices (of the same order) by adding their corresponding entries.
Definition of Matrix addition
if A=[axy] and B=[bxy] are matrices of order MxN, their sum is the mxn matrix given by
A+B= [axy+bxy]
THE SUM OF TWO MATRICES OF DIFFERENT ORDERS IS UNDEFINED
![<p>if<strong> A=[a<sub>xy</sub>] </strong>and <strong>B=[b<sub>xy</sub>] </strong>are matrices of order MxN, their sum is the <strong>mxn</strong> matrix given by </p><p></p><p><strong><u>A+B= [a<sub>xy</sub>+b<sub>xy</sub>]</u></strong></p><p></p><p><strong><em><u><mark data-color="yellow" style="background-color: yellow; color: inherit;">THE SUM OF TWO MATRICES OF DIFFERENT ORDERS IS UNDEFINED </mark></u></em></strong></p>](https://assets.knowt.com/user-attachments/62c9ecab-9d36-4d83-9dae-b5c9e0aa3581.png)
Example 2 in book Addition of Matrices
the one is undefined because A is of order 3×3 and B is of order 3×2

Scalar Multiplication introduction
in these operations, numbers usually referred to as scalars. scalars will always be real numbers in this book.
Scalar Multiplication Definition
Can multiply a matrix A by a scalar C by multiplying each entry in A by C
if A=[axy] is an mxn matrix and c is a scalar, the scalar multiple of A by C is the mxn matric given bycA=[caxy]
![<p><span style="color: red;"><strong><em><u><mark data-color="yellow" style="background-color: yellow; color: inherit;">Can multiply a matrix A by a scalar C by multiplying each entry in A by C</mark></u></em></strong></span></p><p></p><p>if A=[a<sub>xy</sub>] is an mxn matrix and c is a scalar, <strong>the scalar multiple of A by C </strong>is the <strong>mxn</strong> matric given by<span style="color: red;"><strong><u><mark data-color="yellow" style="background-color: yellow; color: inherit;">cA=[ca<sub>xy</sub>]</mark></u></strong></span></p>](https://assets.knowt.com/user-attachments/c24d3037-e26c-4e74-bf2c-c4d8c43df59b.png)
Matrix Subtraction (use -1 as scalar)
A-B represents the sum of A and (-1)B
A-B=A+(-1)B
Example 3 in book Scalar Multiplication and Matrix Subtraction

Helpful note Scalar Multiplication
Sometimes if fraction it can’t be convienant to rewrite the scalar multiple cA by factoring out C of every entry in matrix.

Properties of Matrix Addition and Scalar Multiplication
The properties of matrix addition and scalar multiplication are similar to those of addition and multiplication of real numbers.
Note that the Associative Property of Matrix Addition allows you to write expressions such as A+B+C without ambiguity because the same sum occurs no matter how the matrices are grouped. This same reasoning applies to sums of four or more matrices.

Example 4 in book Addition of More than Two Matrices

Example 5 in book Using the Distributive Property important note
Get same result if add 2 matrices first and then multiply the matrix by 3

Solving Matrix Equations Introduction
algebra of real numbers and algebra of matrices is very similar
Real numbers
x+a=b.
x+a-a=b+(-a)
x=b-a
MxN matrices
X+A=B
X+A+(-A)=B+(-A)
X=B-A
Example 6 in book Solving a Matrix Equation

ACTUAL HARD PART AND VERY IMPORTANT TO KNOW COMING UP.
MATRIX MULTIPLICATION
Matrix Multiplication DEFINITION ABOUT IT
If A=[axy] is an MxN matrix and B=[bxy] is an NxP matrix
The product of AB is a MxP_ matrix
AB=[Cxy].
where cxy=ax1b1y+ax2b2y+ax3b3y+……….. axnbny
The definition of matrix multiplication indicates a row-by-column multiplication, where the entry in the xth row and yth column of the product AB is obtained by multiplying the entries in the x th row of A by the corresponding entries in the yth column of B and then adding the results.
![<p>If A=[a<sub>xy</sub>] is an <strong><em><mark data-color="yellow" style="background-color: yellow; color: inherit;">MxN</mark></em></strong> matrix and B=[b<sub>xy</sub>] is an <strong><em><mark data-color="yellow" style="background-color: yellow; color: inherit;">NxP </mark></em></strong>matrix</p><p></p><p><strong><em><u><mark data-color="yellow" style="background-color: yellow; color: inherit;">The product of AB is a </mark></u></em></strong><span style="color: red;"><strong><em><u><mark data-color="yellow" style="background-color: yellow; color: inherit;">MxP_</mark></u></em></strong></span><strong><em><u><mark data-color="yellow" style="background-color: yellow; color: inherit;"> matrix</mark></u></em></strong></p><p></p><p><strong><em><u><mark data-color="green" style="background-color: green; color: inherit;">AB=[C<sub>xy</sub>]. </mark></u></em></strong></p><p></p><p><strong><em><u><mark data-color="green" style="background-color: green; color: inherit;">where c<sub>xy</sub>=a<sub>x1</sub>b<sub>1y</sub>+a<sub>x2</sub>b<sub>2y</sub>+a<sub>x3</sub>b<sub>3y+……….. </sub>a<sub>xn</sub>b<sub>ny</sub></mark></u></em></strong></p><p></p><p>The definition of matrix multiplication indicates a <strong><em>row-by-column multiplication,</em></strong> where the entry in the<strong><em><u> xth row and yth column</u></em></strong> of the product <strong><em><u><mark data-color="yellow" style="background-color: yellow; color: inherit;">AB</mark></u></em></strong> is obtained by<strong><em><u> <mark data-color="#fdff4d" style="background-color: rgb(253, 255, 77); color: inherit;">multiplying the entries in the x th row of A by the corresponding entries in the yth column of B and then adding the results. </mark></u></em></strong></p>](https://assets.knowt.com/user-attachments/27c8396a-d50e-41bf-8bb3-034fa085b3e3.png)

general PATTERN for matrix multiplication
