This Stuff Flashcards

1
Q

Scalars in subspaces

A

Scalars fuck with c*u in R unless stated or {u, v} is wide

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2
Q

Subspace H

A

H = span{v1, … , vn}, for R^n
if zero vector

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3
Q

Null A

A

All solutions for Ax=0

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4
Q

Col A

A

ColA = span{ a1, a2, a3 }

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5
Q

vector in NulA or ColA

A

NulA if Aw=0
ColA if lincomb of vector

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6
Q

Bases

A

Linindept span

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7
Q

Basis for NullA

A

REF
x = x1u + x2v
{u, v}

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8
Q

Bases for ColA

A

Pivot columns in og

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9
Q

Coordinate Vector

A

B * [x]B = x

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10
Q

dimSubspace

A

# of columns in basis

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11
Q

Change of Coordinates C <- B

A

[ b1 b2 | c1 c2 ]

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12
Q

[x]C

A

P_(C<-B) * x = [x]C

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13
Q

Using EiganValue

A

x + y = λx
x + y = λy

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14
Q

Using EiganVectors

A

Ax = λx

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15
Q

EiganSpace

A

Nul(A - λI)

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16
Q

Characteristic Equation

A

det(A - λI) = 0
ad - bc = 0
x = EiganValue

17
Q

Similarity

A

A and B have the same Characteristic Equation

18
Q

Inner Product

A

u * v = uT v
IIuII IIvII cosθ

19
Q

Length of a vector

A

||v|| = sqrt(v^2)
||u - v|| = sqrt((u-v)^2)

20
Q

Unit Vector

A

if v / IIvII = 1
if v * v = 1

21
Q

2 Orthogonal Vectors

A

if u * v = 0
if IIu+vII^2 = IIuII^2 + IIvII^2

22
Q

Proj A onto B

A

ŷ = (B*A / A*A) * A

23
Q

y = ŷ + z

A

y = All vectors in IR
ŷ = All vectors in W
z = orth to W

24
Q

Diagonalization

A

A -> P D P^-1

25
Q

Orthogonal and Orthonormal

A

- Orthogonal = set orth from each other
- Orthonormal = unit vector set + orth from each other

26
Q

Gram Schmidt

A

v1 = x1
v2 = x2 - (x2v1 / v1v1) v1

27
Q

Orthonormal Basis

A

Run Gram Schmidt again
v1 = x1
v2 = x2 - (x2v1 / v1v1) v1

28
Q

Least Square Normal Equation

A

A^T Ax = A^T b

29
Q

Least Square Error

A

|| b - Ax̄ ||