Co-ordinates / Matrix representation of linear maps (BCM) Flashcards

1
Q

proposition 7.1. scalars in a L.I. L.C.

A

if a set of n vectors from v is linearly independent then
λ₁x₁+… +λₙxₙ=μ₁x₁+…+μₙxₙ
means that λᵢ=μᵢ

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2
Q

[|v|]col

A

(λ₁ .. λₙ) (in a column form)

where v = λ₁e₁ + … + λₙeₙ

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3
Q

How to find the co-ordinates w.r.t basis

A
  1. write the vector as a linear combination of the basis

2. put into [|v|]col form

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4
Q

Theorem 7.4. ?

A

matrix representation of vectors in summation form.

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5
Q

Base change matrix from basis e₁,…,eₙ to basis e₁’,…,eₙ’

A

P = ([|e₁|]’col [|e₂|]’col … [|eₙ|]’col)

[|e|]’col = (λ₁ .. λₙ) where e = λ₁e₁’ + … + λₙeₙ’
so P is matrix filled with column representations of the original basis w.r.t the new basis.

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6
Q

How to use the base change matrix from e₁,…,eₙ to basis e₁’,…,eₙ’

A

[|v|]’col = P[|v|]col

the co-ordinates w.r.t. the old basis is the B.C.M. from old to new multiplied by the co-ordinates w.r.t the new basis.

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7
Q

matrix multiplication in summation form

A

Σⱼ₌ᵢⁿ Pᵢⱼλⱼ

i.e. the sum of the elements from 1-n of a coefficiant and the subsequent column of the matrix

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8
Q

B.C.M from A->B is equal to

A

A->E->E->B

where E is the usual basis

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9
Q

What is the B.C.M from E->B

A

just the matrix where columns are made up of the basis elements from B

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10
Q

Base change matrices are always…

A

invertible

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11
Q

if F:V->W. [|F(v)|]col =

w.r.t. ws

A

[|F|]col[|v|]col

w.r.t. vs

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12
Q

The matrix representation of a linear map F, [|F|]col, is given by

A

([|F(e₁)|], … [|F(eₙ)|])

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13
Q

Base change matrix summation (to get new basis element from old)

A

The indices are not adjacent

vᵢ’ =Σⱼ₌₁ⁿ Pⱼᵢvⱼ

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14
Q

[|F|]’col w.r.t. new basis is

A

P⁻¹AP

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15
Q

similar

A

A,B (both nxn matrices) are similar iff there is an invertible P s.t. B= P⁻¹AP

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16
Q

compositions of linear maps behave like matrix products

A

[|gof|] = [|g|]col * [|f|]col

17
Q

How to check a set of vectors is a basis

A
  1. put into matrix as rows
  2. use row operations to put into echelon form
  3. check linearly independent (i.e. no row of 0s)