Chapter 3: Vector Spaces Flashcards
Theorem 3.2.1
If v is a vector in Rn, and if k is any scalar, then: - ||v|| ≥ 0 - ||v|| = 0 iff v = 0 - ||kv|| = |k|.||v||
Unit vector
A vector of norm 1.
u = 1/||<strong>v</strong>|| v
Standard unit vectors
The unit vectors in the positive directions of the coordinate axes when a rectangular coordinate system is introduced in R2 or R3.
Dot product of u and v
If u and v are nonzero vectors in R2 or R3, and if θ is the angle between u and v, then the dot product denoted by u•v is defined as:
u•v = ||u|| ||v|| cosθ
Euclidean inner product (dot product)
If u = (u1, u2, … un) and v = (v1, v2, … vn) are vectors in Rn, then the dot product is denoted by u • v and is defined by: u • v = u1v1 + u2v2 + … + unvn
Express the length of a vector in terms of a dot product
||v|| = √(v•v)
Triangle inequality for vectors
||u** + **v **|| ≤ ||u *|| + ||v ***||
Triangle inequality for distances
d(u, v) ≤ d(u, w) + d(w, v)
Parallelogram Equation for vectors
||u + v||2 + ||u - v||2 = 2( ||u||2 + ||v||2)
The angle θ between 2 nonzero vectors u and v in Rn
θ = cos-1( <strong>u•v</strong>/(||<strong>u</strong>|| ||<strong>v</strong>||) )
Orthogonal
Two nonzero vectors u and v in Rn are said to be orthogonal if u•v = 0
Equivalent vectors
Vectors with the same length and direction.
Length of v
||v||
√v12 + v22 + … + vn2
Cauchy-Schwarz Inequality
|u•v| ≤ ||u|| ||v||
Orthogonal projection of u on a
A.k.a. the vector component of u ALONG a
projau = ( <strong>u•a</strong>/||a||2 ) a