Download presentation
Presentation is loading. Please wait.
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
๐บ: ๐ฅ ๐ฆ โ ๐ฅ+4 ๐ฆโ1 ๐ป: ๐ฅ ๐ฆ โ 2๐ฅโ๐ฆ ๐ฅ+๐ฆ ๐ผ: ๐ฅ ๐ฆ โ 2๐ฆ โ ๐ฅ 2 Find the image of the point (2,3) under each of these transformations. ๐บ: ๐ฅ ๐ฆ โ ๐ฅ+4 ๐ฆโ1 ๐ป: ๐ฅ ๐ฆ โ 2๐ฅโ๐ฆ ๐ฅ+๐ฆ You can write the coordinate as a vector (ie the directions from (0,0)) Sub in values ๐บ: โ โ1 ๐ป: โ 2 2 โ3 2+3 Calculate = 6 2 = 6,2 = 1 5 = 1,5 ๐ผ: ๐ฅ ๐ฆ โ 2๐ฆ โ๐ฅ2 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 ๐ผ: โ 2(3) โ (2) 2 = 6 โ4 = 6,โ4 So T is the only linear transformation here!
3
Matrix transformations
The linear transformation: ๐บ: ๐ฅ ๐ฆ โ ๐๐ฅ+๐๐ฆ ๐๐ฅ+๐๐ฆ Can be represented by the matrix: ๐ด= ๐ ๐ ๐ ๐ Since: ๐ ๐ ๐ ๐ ๐ฅ ๐ฆ = ๐๐ฅ+๐๐ฆ ๐๐ฅ+๐๐ฆ ๐ป: ๐ฅ ๐ฆ โ 2๐ฅโ๐ฆ ๐ฅ+๐ฆ can be represented by ๐ป= 2 โ1 1 1
4
WB 2 Find matrices to represent these linear transformations:
๐ท: ๐ฅ ๐ฆ โ 2๐ฆ+๐ฅ 3๐ฅ ๐ธ: ๐ฅ ๐ฆ โ โ2๐ฆ 3๐ฅ+๐ฆ Find the image of the point (1, 4) under each of these transformations. ๐ท= = 9 3 ๐ธ= 0 โ2 3 1 0 โ = โ6 โ5
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: ๐ด= โ 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 โ = 1 โ 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: ๐ด= โ 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 outwardsโฆ ๏ 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= โ1 0 0 โ1
b) apply this transformation to the square S with coordinates (1,1), (3,1), (3,3) and (1,3). y = x โ1 0 0 โ = โ1 0 0 โ1 (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 upโฆ Both have moved 180ห round the centre The transformation is therefore a rotation of 180ห around (0,0)
11
WB 5b rotation Describe fully the geometrical transformation represented by this matrix: M= โ1 0 0 โ1 b) apply this transformation to the square S with coordinates (1,1), (3,1), (3,3) and (1,3). โ1 0 0 โ = โ1 โ3 โ1 โ1 โ3 โ1 โ3 โ3 (-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 โ1 โ1 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 โ1 โ = 0 โ1 โ1 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 โ1 โ1 0 b) apply this transformation to the square S with coordinates (1,1), (3,1), (3,3) and (1,3). 0 โ1 โ = โ1 โ1 โ1 โ3 โ3 โ3 โ3 โ1 (-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
Similar presentations
© 2024 SlidePlayer.com. Inc.
All rights reserved.