Ch . 1 Vectors in R^n Flashcards
Axioms for a real vector space
Closure under addition and scalar multiplication Associativity Existence of an identity Existence of an inverse Distributivity
State the Cauchy Schwarz inequality
|v · w| ≤ |v||w|
with equality iff v and w are collinear
Finding the angle between 2 vectors
cos(θ) = (v · w) / |v||w|
If 2 vectors are orthogonal…
v · w = 0
Properties of the vector product
(i) Antisymmetry:
u x v = -v x u
(ii) Linearity in the left factor:
(u + v) x w = u x w + v x w
(λu) x v = λ(u x v)
(iii) Linearity in the right factor: u x (v + w) = u x w + u x v u x (λv) = λ( u x v)
(iv) Orthogonality to the input:
v · (v x w) = w · (v x w) = 0
What are the closure axioms?
(i) If v and w are in R^n, then v + w is in R^n
(ii) If v is in R^n, the λv is in R^n
What are the axioms for addition?
(i) Associativity
(ii) Existence of an additive identity:
There is a vector 0 in R^n such that
v + 0 = v = 0 + v for any v in R^n
(iii) Existence of an additive inverse:
There is an inverse element in R^n -v such that
v + (-v) = 0 = (-v) + v for any v in R^n
(iv) Commutativity
What are the axioms for scalar multiplication?
(i) Associativity
(ii) 0v = 0
(iii) Iv = v
(iv) Distributivity
Properties of the scalar product
(i) Symmetry:
u · v = v · u
(ii) Linearity in the left factor:
(u + v) · w = u · w + v · w
(λu) · v = λ(u · v)
(iii) Linearity in the right factor:
u · (v + w) = u · w + u · v
u · (λv) = λ(u · v)
(iv) Positivity:
v · v ≥ 0 (with v · v = 0 iff v = 0)
How to find the length of the vector product |v x w|
|v x w| = |v||w|sin(θ)
What are the 2 ways of describing a plane?
1) Parametric form
π = {x = a + λd1 + μd2 | λ, μ in the reals}
2) Using a normal vector
π = {x in R^3 | n · x = n · a}
Where a is a point on π
3’) Multiplying out 2)
ax + by + cz = l
Where l = n · a
What are the 2 ways of describing a line?
1) Parametric form
L = {x = a + λd | λ in the reals}
Where a is a point on L, and d is the direction vector}
2) 2 normal vectors n1, n2 and a point a on L
L = {x in R^3 | n1 · x = n1 · a, n2 · x = n2 · a}
2') Multiplying out 2 n1 = (a,b,c), n2 = (d,e,f) ax + by + cz = l dx + ey + fz = m Where l = n1 · a, m = n2 · a
3) Another description
(x - a1) / d1 = (y - a2) / d2 = (z - a3) / d3
Associativity for addition and scalar multiplication
Addition: (u + v) + w = u + (v + w)
Scalar multiplication: λ(μv) = (λμ)v
Distributivity for scalar multiplication
(λ + μ)v = λv + μv
λ(v + w) = λv + λw
Commutativity for addition
v + w = w + v