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Vector Addition
u + v, u + v, u + v,…,u + v

Scalar multiplication
ku, ku, … , ku

Difference of 2 vectors
v - u, v - u, … , v - u

Euclidean Norm

Euclidean Distance

Dot Product

Unit vector

Angle between 2 vectors

Linear Independent
Is true when 𝑐1 = 𝑐2 = ⋯ = 𝑐𝑛 = 0, meaning if all solutions are only zero
Linear Dependent
When the solution to fhe equation can be a nonzero value
S spans V
If the linear system is consistent without any restriction on the arbitrary vector 𝛼,
S does not span V
If the linear system is to be consistent only by imposing some conditions on 𝛼
Cofactor

Inverse of A

Adjoint of matrix A
obtained by replacing the entries of 𝐴 by their corresponding cofactors,
Parallel Vectors
u • v = ||u|| ||v||
Orthogonal Vectors
cos φ = 0