6.1 Dot Products and Orthogonality & 6.2/6.3 Orthogonal Sets, Bases, and Projection Flashcards

1
Q

best fit line

A

an appox solution

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2
Q

distance of any vector x in Rn should satisfy:

A

( 1 ) ||x|| >= 0
( 2 ) ||x|| >= 0 <=> x=0
( 3 ) ||cx||=|c| ||x|| for c in R
( 4 ) ||x+y||<=||x||+||y||

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3
Q

dot product of x and y

A

x * y = x(transpose)y

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4
Q

magnitude of x

A

||x|| = rad(x*x)

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5
Q

distance between x and y

A

d(x,y)=||x-y||

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6
Q

unit vector u in Rn

A

a vector of magnitude 1

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7
Q

orthogonal

A

x * y = 0

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8
Q

Cauchy Schwartz Inequality

A

For x, y in Rn

x*y<=||x|| ||y||

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9
Q

angle between x,y in Rn x=!0 and y=!0

A

theta = [ (x*y)/(||x|| ||y||) ]

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10
Q

orthogonal complement

A

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

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11
Q

Orthogonal Set

A

The set {v1, v2, …, vp} subset of Rn is an orthogonal set if vi*vj=0 for i=! j

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12
Q

theorem:

an orthogonal set of nonzero vectors…………..

A

is linearly independent

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13
Q

orthogonal basis

A

a basis for subspace W subset of Rn is an orthogonal basis if that basis is an orthogonal set

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14
Q

orthonormal basis

A

an orthogonal basis consisting of unit vectors

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15
Q

orthogonal projection of Y onto subspace W

A

y^

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