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Visualizing Matrices

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Title: Visualizing Matrices


1
  • Visualizing Matrices
  • John Peterson
  • Yale University
  • Languages for Mathematics
  • Education
  • www.haskell.org/edsl

2
Turning Math into Pictures
  • I study languages that allow people to
  • use computers in new ways.
  • Interactive pictures give us a way of
  • showing the underlying intuition behind
  • the mathematics.

3
Review
  • What you should know
  • What a matrix is
  • How to add and multiply matrices
  • Determinates
  • Inverting matrices
  • Triangle Area theorem

4
Using a 2x2 Matrix Lens
  • We use a matrix as a lens through which we
  • view an image.
  • A 2-d image is a mapping from points in the
    coordinate plane onto colors.


5
Adding a Matrix
  • Now add a transformation between the observer
    (you) and the picture

x
Observation point
Image color
Image point
Transformation matrix
6
An Example
  • How does the image change as parameters change?

2 4
1 2
x
Image point
Observation point
Image color
2 x Identity matrix
7
Live demo time
Run the demo 01-basic-matrix Make some
observations!
8
So what did we learn?
  • Lines always remain straight
  • Origin doesnt move 0 0 x M 0 0 no
    matter what M
  • Angles may change
  • Image may completely disappear
  • But do we have any intuition about what
  • a, b, c, and d do??

9
Whats in the Matrix
  • One way to take apart the matrix is to apply it
  • to some specific values, the x and y units,
  • 1 0 and 0 1

x
???
10
Whats in the Matrix
  • One way to take apart the matrix is to apply it
  • to some specific values, the x and y units,
  • 1 0 and 0 1

x
a b
11
Whats in the Matrix
  • One way to take apart the matrix is to apply it
  • to some specific values, the x and y units,
  • 1 0 and 0 1

x
???
12
Whats in the Matrix
  • One way to take apart the matrix is to apply it
  • to some specific values, the x and y units,
  • 1 0 and 0 1

x
c d
13
Units
  • When we plot the point (a,b) on the
  • warped picture were seeing the image of
  • the x unit (c,d) is the image of the
  • y unit.

Lets see how this works! Well mark the units in
the original picture and their images Run the
demo 02-show-points
14
Inverting a Matrix
  • What does it mean to invert a matrix?
  • Visually, it is how you undo an image warp.
  • Lets try and invert the following matrix

1.31 1.14 0.26 -0.44
15
Inverting a Matrix
Transformed image
Original image
Transform this back to the original
16
Inverting a Matrix
  • Run 03-inverse and then check your answer

1.31 1.14 0.26 -0.44
?
x
17
Determinates
  • What is the meaning of a determinate?
  • Lets look at the image of the unit square.
  • Note that the vertices of the square are
  • (0,0) (a,b) (ac, bd) (b,d)
  • Can you see the connection between
  • the determinate and the square in
  • the example 04-determinate?

18
Determinates
  • A (2x2) determinate indicates how the
  • area of a figure changes under the image
  • of a transformation.
  • A determinate of 0 indicates that the
  • figure collapses to a point or line.
  • A 3x3 determinate indicates change in
  • 3-dimensional volume.

19
Measuring a Line
  • If a 3x3 determinate measures the area of
  • a triangle, we can use a 2x2 to measure
  • the length of a line.
  • Given a line from A to B, construct the
  • following matrix

Run 05-length to see this
20
The Unit Circle
  • The unit circle is a circle with radius 1
  • centered at the origin.
  • What is the diameter of this circle?
  • Lets walk around the circle starting
  • at (1,0). After walking a distance d, where
  • are you?
  • If this point is (a,b) then what is a b ?

2
2
21
Sine and Cosine
  • Run 06-sine.cs
  • This shows you two functions
  • if x is the distance traveled around the
  • circle, then (cos(x), sin(x)) is the
  • coordinate on the circle
  • Note sin(x) and cos(x) are between
  • -1 and 1

22
Factoring A 2x2 Matrix
  • Some simple 2x2 matrices

X scaling
Y scaling
23
Factoring A 2x2 Matrix
  • Some simple 2x2 matrices

Skew
Rotation
24
An Exercise
  • Find the inverse and determinate of
  • each one of these matrices.

M
M
s
x
M
M
r
y
25
Decomposing a Matrix
  • We can take apart a 2x2 matrix and
  • express it as a product of these 4
  • matrices

M x M x M x M
y
x
s
a
26
Why Decompose?
  • These simple matrices are easy to understand
    they have very useful
  • effects on an image
  • Run 07-factored to see how this works
  • We can do anything to the image with
  • the product of these 4 matrices that
  • can be done with any other 2x2 matrix
  • Run 08-factored-inverse to see more

27
Inverting a product matrix
  • Lets invert our matrix
  • This is right, isnt it?

-1
-1
-1
-1
-1
M x M x M x M
y
x
s
a
28
Oops!
  • We blew it! If a matrix is a product of
  • other matrices, you have to reverse the
  • order of the inverses

-1
-1
-1
-1
-1
M x M x M x M
x
y
s
a
29
Translation
  • Unfortunately a 2x2 matrix cant move
  • things around - point (0,0) never moves.
  • The solution use special 3x3 matrices

x y 1
Add a 1 to each point
Extra row
30
Translation

Example multiply M x 5 2 1
T(2,3)
Run 09-translation to see this
31
Matrix Computers
  • Did you know that many computers have
  • special hardware for multiplying matrices?
  • Some computers do almost nothing except
  • multiply lots and lots of these 3x3 (4x4 in
  • most cases for 3D points)
  • What do these computers look like?

32
Matrix Computers?
33
Matrix Computer!
34
Building an Animation
  • We can make a short animated movie
  • by using matrices to move around
  • images.
  • Write equations like this for each of the
  • parameters in the matrix
  • x if time lt 2 then 0 else
  • if time lt 4 then (time-2) 50 else
  • 100

35
Some Math
  • Its often easiest to map some interval
  • of time onto the interval (0, 1).
  • How would we map (2,5) onto (0,1)?
  • (Hint you could solve this with matrices!)

f(t) (t-2)/3 f(2) 0, f(5) 1
36
A Lame Animation
Run 11-animation to see this
sx if t lt 8 then 1 else (1-(t-8)/2) sy sx rot
if t lt 3 then 0 else if t lt 5 then
((t-3)/2)2pi else 0 skew if t lt 5 then
0 else sin((t-5)(t-5)) (xt,yt) if t lt 5 then
(30t, 10t) else (150, 50)
37
Thank You!
  • We hope you enjoyed this presentation.
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