Presentation is loading. Please wait.

Presentation is loading. Please wait.

FP1 Matrices Transformations

Similar presentations


Presentation on theme: "FP1 Matrices Transformations"โ€” Presentation transcript:

1 FP1 Matrices Transformations
BAT use matrices to describe linear transformations

2 WB 1 The three transformations S, T and U are defined as follows
๐‘บ: ๐‘ฅ ๐‘ฆ โ†’ ๐‘ฅ+4 ๐‘ฆโˆ’1 ๐‘ป: ๐‘ฅ ๐‘ฆ โ†’ 2๐‘ฅโˆ’๐‘ฆ ๐‘ฅ+๐‘ฆ ๐‘ผ: ๐‘ฅ ๐‘ฆ โ†’ 2๐‘ฆ โˆ’ ๐‘ฅ 2 Find the image of the point (2,3) under each of these transformations. ๐‘บ: ๐‘ฅ ๐‘ฆ โ†’ ๐‘ฅ+4 ๐‘ฆโˆ’1 ๐‘ป: ๐‘ฅ ๐‘ฆ โ†’ 2๐‘ฅโˆ’๐‘ฆ ๐‘ฅ+๐‘ฆ You can write the coordinate as a vector (ie the directions from (0,0)) Sub in values ๐‘บ: โ†’ โˆ’1 ๐‘ป: โ†’ 2 2 โˆ’3 2+3 Calculate = 6 2 = 6,2 = 1 5 = 1,5 ๐‘ผ: ๐‘ฅ ๐‘ฆ โ†’ 2๐‘ฆ โˆ’๐‘ฅ2 A linear transformation has two properties It only involves linear transformations of x and y (so no powers) The origin, (0,0) is not moved by the transformation ๐‘ผ: โ†’ 2(3) โˆ’ (2) 2 = 6 โˆ’4 = 6,โˆ’4 So T is the only linear transformation here!

3 Matrix transformations
The linear transformation: ๐‘บ: ๐‘ฅ ๐‘ฆ โ†’ ๐‘Ž๐‘ฅ+๐‘๐‘ฆ ๐‘๐‘ฅ+๐‘‘๐‘ฆ Can be represented by the matrix: ๐‘ด= ๐‘Ž ๐‘ ๐‘ ๐‘‘ Since: ๐‘Ž ๐‘ ๐‘ ๐‘‘ ๐‘ฅ ๐‘ฆ = ๐‘Ž๐‘ฅ+๐‘๐‘ฆ ๐‘๐‘ฅ+๐‘‘๐‘ฆ ๐‘ป: ๐‘ฅ ๐‘ฆ โ†’ 2๐‘ฅโˆ’๐‘ฆ ๐‘ฅ+๐‘ฆ can be represented by ๐‘ป= 2 โˆ’1 1 1

4 WB 2 Find matrices to represent these linear transformations:
๐‘ท: ๐‘ฅ ๐‘ฆ โ†’ 2๐‘ฆ+๐‘ฅ 3๐‘ฅ ๐‘ธ: ๐‘ฅ ๐‘ฆ โ†’ โˆ’2๐‘ฆ 3๐‘ฅ+๐‘ฆ Find the image of the point (1, 4) under each of these transformations. ๐‘ท= = 9 3 ๐‘ธ= 0 โˆ’2 3 1 0 โˆ’ = โˆ’6 โˆ’5

5 WB 3a The square S has coordinates (1,1), (3,1), (3,3) and (1,3).
a) Find the coordinates of the vertices of the image of S after the transformation given by the matrix: ๐‘ด= โˆ’ b) draw a diagram to show this transformation Write the coordinates of the vertices of the square as vectors, and combine them into a 2x4 matrix Now transform this using M โˆ’ = 1 โˆ’ So the new vertices will be at: (1,3), (-1,7), (3,9) and (5,5)

6 WB 3b The square S has coordinates (1,1), (3,1), (3,3) and (1,3).
a) Find the coordinates of the vertices of the image of S after the transformation given by the matrix: ๐‘ด= โˆ’ b) draw a diagram to show this transformation Original Vertices New Vertices (1,1), (3,1), (3,3) and (1,3) (1,3), (-1,7), (3,9) and (5,5) 10 -10 10 -10

7 Matrix transformations: use matrices to represent rotations, reflections and enlargements
Translations are not linear transformations (as the origin would move), so these will not be covered here (0,1) (1,0) To decide what transformation a matrix performs, you should consider its effect on two simple vectors (you can also think of them as coordinates) As a Matrix we could represent these coordinates as:

8 WB 4a a) Describe fully the geometrical transformation represented by this matrix: M= 3 0 0 3
b) apply this transformation to the square S with coordinates (1,1), (3,1), (3,3) and (1,3). (0,3) = (0,1) (1,0) (3,0) if the original coordinates are (1,0) and (0,1) then the coordinates of the image are (3, 0) and (0, 3) The coordinates have stretched outwardsโ€ฆ ๏ƒ  This matrix is an enlargement of scale factor 3, centre (0,0)

9 WB 4b Enlargements Describe fully the geometrical transformation represented by this matrix: M= b) apply this transformation to the square S with coordinates (1,1), (3,1), (3,3) and (1,3). = (3,3), (9,3), (9,9) and (3,9) 10 -10 10 -10 Original Vertices New Vertices

10 WB 5a a) Describe fully the geometrical transformation represented by this matrix: M= โˆ’1 0 0 โˆ’1
b) apply this transformation to the square S with coordinates (1,1), (3,1), (3,3) and (1,3). y = x โˆ’1 0 0 โˆ’ = โˆ’1 0 0 โˆ’1 (0,1) (-1,0) (1,0) if the original coordinates are (1,0) and (0,1) then the coordinates of the image are (-1, 0) and (0, -1) (0,-1) Be careful! This is not a reflection in y = x as the coordinates would not match upโ€ฆ Both have moved 180หš round the centre The transformation is therefore a rotation of 180หš around (0,0)

11 WB 5b rotation Describe fully the geometrical transformation represented by this matrix: M= โˆ’1 0 0 โˆ’1 b) apply this transformation to the square S with coordinates (1,1), (3,1), (3,3) and (1,3). โˆ’1 0 0 โˆ’ = โˆ’1 โˆ’3 โˆ’1 โˆ’1 โˆ’3 โˆ’1 โˆ’3 โˆ’3 (-1, -1), (-3, -1), (-3, -3) and (-1, -3) 10 -10 10 -10 Original Vertices New Vertices

12 WB 6a a) Describe fully the geometrical transformation represented by this matrix: M= 0 โˆ’1 โˆ’1 0
b) apply this transformation to the square S with coordinates (1,1), (3,1), (3,3) and (1,3). y = x (0,1) 0 โˆ’1 โˆ’ = 0 โˆ’1 โˆ’1 0 (-1,0) (1,0) if the original coordinates are (1,0) and (0,1) then the coordinates of the image are (0, -1) and (-1, 0) (0,-1) y = -x A bit like WB5, this is not a reflection in y = x as the coordinates do not match up However, they have been reflected in a different way The transformation is therefore a reflection in the line y = -x

13 WB 6b reflection y=-x Describe fully the geometrical transformation represented by this matrix: M= 0 โˆ’1 โˆ’1 0 b) apply this transformation to the square S with coordinates (1,1), (3,1), (3,3) and (1,3). 0 โˆ’1 โˆ’ = โˆ’1 โˆ’1 โˆ’1 โˆ’3 โˆ’3 โˆ’3 โˆ’3 โˆ’1 (-1, -1), (-1, -3), (-3, -3) and ( -3, -1) 10 -10 10 -10 Original Vertices New Vertices

14 Explore other transformations using matrices
Activity 1 Explore other transformations using matrices

15 END


Download ppt "FP1 Matrices Transformations"

Similar presentations


Ads by Google