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Summary Matrix Theorems

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Summary of 2 pages for the course AP statistics Matrix algebra at AP statistics Matrix algebra (Matrix Theorems)

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Matrix Theorems
Here, we list without proof some of the most important rules of matrix algebra - theorems that govern the way that matrices are added
multiplied, and otherwise manipulated.


Notation

A, B, and C are matrices.

A' is the transpose of matrix A.


A-1 is the inverse of matrix A.

I is the identity matrix.

x is a real number.


Matrix Addition and Matrix Multiplication

A+B=B+A (Commutative law of addition)

A+B+C=A+(B+C)=(A+B)+C (Associative law of addition)

ABC = A( BC ) = ( AB )C (Associative law of multiplication)

A( B + C ) = AB + AC (Distributive law of matrix algebra)

x( A + B ) = xA + xB


Transposition Rules

( A' )' = A

( A + B )' = A' + B'

( AB )' = B'A'

( ABC )' = C'B'A'


Inverse Rules

AI = IA = A


AA-1 = A-1A = I


( A-1 )-1 = A


( AB )-1 = B-1A-1


( ABC )-1 = C-1B-1A-1

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