FM - Core Pure 1 - 7) Linear transformations Flashcards

1
Q

Equation for matrix transformations

A

|acbd||xy| = |ax+bycx+dy|

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2
Q

Matrices representing reflections in the x-axis and y-axis, and their invariant lines

A

Reflection in x-axis:

  • |100-1|
  • y = 0

Reflection in y-axis:

  • |-1001|
  • x = 0
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3
Q

Matrices representing reflections in the line y = x and y = -x, and their invariant lines

A

Reflection in y = x:

  • |0110|
  • y = x

Reflection in y = -x:

  • |0-1-10|
  • y = -x
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4
Q

Matrix representing a rotation of angle θ anticlockwise about the origin and its invariant point

A
  • |cos(θ)sin(θ)-sin(θ)cos(θ)|
  • The origin
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5
Q

Transformation represented by |a00b| when a ≠ b and a = b

A
  • When a ≠ b → stretch by scale factor a in the x-direction and stretch by scale factor b in the y-direction
  • When a = b → enlargement by scale factor a (or b)
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6
Q

Invariant points and lines of all types of stretches

A
  • Strectch in x-direction only → points on the y-axis and the line x = 0
  • Strectch in y-direction only → points on the x-axis and the line y = 0
  • Enlargement → only the origin and no lines
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7
Q

Way to find the area scale factor of a stretch or enlargement

A

Find determinant of the transformation matrix

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8
Q

Side of a matrix that a transformation matrix goes when multiplying

A

|Transformation matrix||matrix|

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9
Q

Matrices representing reflections in the planes x = 0, y = 0 and z = 0

A
  • Reflection in x = 0:
    |-1 0 0|
    |0 1 0|
    |0 0 1|
  • Reflection in y = 0:
    |1 0 0|
    |0 -1 0|
    |0 0 1|
  • Reflection in z = 0:
    |1 0 0|
    |0 1 0|
    |0 0 -1|
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10
Q

Matrices representing rotations of angle θ anticlockwise about the x-axis, y-axis and z-axis

A
  • Rotation about x-axis:
    |1 0 0|
    |0 cos(θ) -sin(θ)|
    |0 sin(θ) cos(θ)|
  • Rotation about y-axis:
    |cos(θ) 0 sin(θ)|
    |0 1 0|
    |-sin(θ) 0 cos(θ)|
  • Rotation about z-axis:
    |cos(θ) -sin(θ) 0|
    |sin(θ) cos(θ) 0|
    |0 0 1|
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11
Q

Way to reverse the transformation by a matrix

A

Transform by the inverse of that matrix

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