Matrices Flashcards

1
Q

what does it mean if matrix multiplication is associative, using A B and C as examples

A
  • (AB)C = A(BC) = ABC

- or A(B+C) = AB + AC

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2
Q

what does it mean if matrix multiplication is not commutative, using A and B as examples

A

AB does not = BA

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3
Q

what does the transpose of a transpose of a matrix equal

A

the original matrix

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4
Q

what are the 2 things ((AB)^T)ij can equate to

A
  • (AB)ji (notice i and j swapped)

- (B^T * A^T)ij ( notice i and j did not swap but B and A did)

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5
Q

what does a . b equal in terms of a^T

A

a . b = a^T * b

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6
Q

what is the condition in order for the inverse of a matrix to not exist

A

the determinant of the matrix must be 0

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7
Q

how does multiplying a matrix by a constant c change the determinant

A

it also multiplies the determinant by c

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8
Q

what is an easy way to spot whether the det of a matrix is 0

A

if 2 rows or columns are equal

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9
Q

does the det(A) = det(A^T)

A

yes

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10
Q

what is the det(AB) also equal to

A

det(BA)

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11
Q

what is the 2x2 matrix for rotations (all matrix notations are read downwards first

A
  • cosθ, sinθ

- -sinθ, cosθ

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12
Q

what direction does the inverse of a regular rotation matrix rotate a vector and why

A
  • in the clockwise direction

- because all the θs turn into -θs

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13
Q

what is the inverse of a rotation matrix equal to

A

its transpose

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14
Q

what is the matrix for rotation about the x-axis

A
  • 1 0 0
  • 0 cosθ sinθ
  • 0 -sinθ cosθ
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15
Q

what is the matrix for the rotation about the y-axis

A
  • cosθ 0 -sinθ
  • 0 1 0
  • sinθ 0 cosθ
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16
Q

what is the matrix for the rotation about the z-axis

A
  • cosθ sinθ 0
  • -sinθ cosθ 0
  • 0 0 1
17
Q

are rotations in 2D commutative (does doing A then B = doing B then A)

A

yes

18
Q

what is the only scenario in 3D where rotations are commutative

A

if its about the same axis

19
Q

for a rotation matrix Q, what does QQ^T or QQ^-1 equal

A

the identity matrix I

20
Q

simply speaking, how would you prove that a matrix is a rotation matrix

A

by showing that it doesnt change the length of the rotated vector

21
Q

what is the proof showing that the length of a rotated vector x doesnt change ( starting from x’ = Qx)

A
  • x’ . x’ = (x’)^T * x’ (length of new vector squared)
  • (x’)^T * x’ = (Qx)^T * Qx
  • = x^T * Q^T * Q * x (you can expand brackets if you flip the order)
  • as Q^T*Q = I, above = x^T * x
22
Q

what is the difference between the determinant of a rotation and reflection matrix

A
  • the det of a rotation matrix is 1

- the det of a reflection matrix is -1

23
Q

if R = Q^T, where R rotates the coordinate system by an angle and Q^T is the transpose of a rotation matrix that would normally rotate a vector by and angle, how would you present the change of a coordinate system in 3D using ‘a’ as the vector

A

a’ = Ra

24
Q

if a’ = Ra, what is the relationship between a’ and a when R is turned to R^-1

A

a = (R^-1)a’

25
Q

if A = a linear transpose in a coordinate system, what is the formula showing the relationship between A and the matrix R

A

A’ = RAR^T