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Matrix Properties Cheat Sheet (DRAFT) by

For beginner matrix algebra properties for linear algebra.

This is a draft cheat sheet. It is a work in progress and is not finished yet.

Definition

Leading Variables: variables corres­ponding to leading 1s.
Free Variables: variables with no pivot 1s.
Parame­ters: symbol (s, t, ...) for free variable.
Basic Solutions: vectors where s=1 and t,u,..=0.
Rank A: number of leading 1s.
If A(m x n) and rank A = r, there are n-r free variables.
REF: leading 1s with 0s at the bottom.
RREF: leading 1s with 0s at the top and bottom.
Main Diagonal: a11, a22, a33, ... entries of a matrix.
Diagonal Matrix: sq. matrix with entries outside main diagonal = 0.
Symmetric Matrix: sq. matrix where A = AT.
Skew-s­ymm­etric: square matrix where AT = -A.
Identity Matrix (I): square matrix where main diagonal entries = 1.
Zero Matrix: square matrix where all entries = 0.
Invertible Matrix: sq. matrix that has an inverse.

Elementary Row Operations

I. Interc­hange two rows.
II. Multiply a row by non-zero integer.
III. Add multiple of a row with another row.

Transp­osition Properties

If A = [aij], then AT = [aji]
If A is (m×n), then AT is (n×m).
(AT)T = A
(kA)T = kAT
(A+B)T = AT+bT

Matrix Inverse Properties

AA-1 = I = A-1A
detA = ad - bc
adjA = [d   -b]
[-c    a]
A is non-in­ver­tible if detA = 0.
A-1 = (1/detA)adjA
Ax = b ⇒ x = A-1b
[A   I] → [I   A-1]
 

Addition and Scalar Multip­lic­ation Properties

A+B = B+A
commut­ativity
A+(B+C) = (A+B)+C
associ­ativity
0+A = A
additive identity element
A+(−A) = 0
additive inverse
k(A+B) = kA+kB
scalar distri­but­ivity
(k+ p)A = kA+ pA
scalar distri­but­ivity
(kp)A = k(pA)
scalar associ­ativity
1A = A
multip­lic­ative scalar identity
 

Matrix­-Vector Multip­lic­ation Properties

x is the solution to Ax = b
A(x+y) = Ax+Ay
A(ax) = a(Ax) = (aA)x
(A+B)x = Ax+Bx
Associated homoge­neous system: Ax = 0

Matrix­-Matrix Multip­lic­ation Properties

IA = A and AI = A
A(BC) = (AB)C
A(B+C) = AB+AC
(B+C)A = BA+CA
a(AB) = (aA)B = A(aB)
(AB)T = BTAT
Idempo­tent: A2 = A