6.1 Dot Products and Orthogonality & 6.2/6.3 Orthogonal Sets, Bases, and Projection Flashcards
best fit line
an appox solution
distance of any vector x in Rn should satisfy:
( 1 ) ||x|| >= 0
( 2 ) ||x|| >= 0 <=> x=0
( 3 ) ||cx||=|c| ||x|| for c in R
( 4 ) ||x+y||<=||x||+||y||
dot product of x and y
x * y = x(transpose)y
magnitude of x
||x|| = rad(x*x)
distance between x and y
d(x,y)=||x-y||
unit vector u in Rn
a vector of magnitude 1
orthogonal
x * y = 0
Cauchy Schwartz Inequality
For x, y in Rn
x*y<=||x|| ||y||
angle between x,y in Rn x=!0 and y=!0
theta = [ (x*y)/(||x|| ||y||) ]
orthogonal complement
Let W subset of Rn be a subspace. The set of all vectors in Rn orthogonal to every vector in W is called orthogonal complement of W
Orthogonal Set
The set {v1, v2, …, vp} subset of Rn is an orthogonal set if vi*vj=0 for i=! j
theorem:
an orthogonal set of nonzero vectors…………..
is linearly independent
orthogonal basis
a basis for subspace W subset of Rn is an orthogonal basis if that basis is an orthogonal set
orthonormal basis
an orthogonal basis consisting of unit vectors
orthogonal projection of Y onto subspace W
y^