Presentation is loading. Please wait.

Presentation is loading. Please wait.

What is Linear Algebra? Notation:. Linear Transformation Linear Operator Matrix Multiplication n-Dimensional Linear Mapping Linear Coordinate Transformation.

Similar presentations


Presentation on theme: "What is Linear Algebra? Notation:. Linear Transformation Linear Operator Matrix Multiplication n-Dimensional Linear Mapping Linear Coordinate Transformation."— Presentation transcript:

1 What is Linear Algebra? Notation:

2 Linear Transformation Linear Operator Matrix Multiplication n-Dimensional Linear Mapping Linear Coordinate Transformation

3 Matrix Multiplication

4 Just a common kind of function Mappings from Input to Outputs dose response contrast firing rate column space row space

5 Linear Transforms: x1x1 x2x2 a

6 a Identity b

7 Linear Transforms: Stretch and Squash a b

8 Linear Transforms: Flips b a

9 Linear Transforms: Rotation b a

10 Linear Transforms: Skew a b

11 Linear Transforms: Any Combination of the Above b a

12 Linear Transforms: Mix and Match, Collect the Whole Set

13 Singular Value Decomposition: Any Linear Transform can be written as: a rotation, a stretch and flip, and another rotation

14 EigenVectors: Vat gözinta, cümzouta. ‘eigen’ is German for ‘self’

15 a Linear Transforms: Identity b

16 Linear Transforms: Flips b a

17 Linear Transforms: Rotation b a

18 But What’s this good for?

19 fMRI

20 Time series realignment

21 3D Rigid-body Transformations A 3D rigid body transform is defined by: –3 translations - in X, Y & Z directions –3 rotations - about X, Y & Z axes The order of the operations matters TranslationsPitch about x axis Roll about y axis Yaw about z axis

22 Linear Regression

23

24

25

26

27

28

29 fMRI

30 Intensity Time Regression model = 11 22 + + error x1x1 x2x2   Ν   Ι  (error is normal and independently and identically distributed) Question: Is there a change in the BOLD response between listening and rest? Hypothesis test:  1 = 0? (using t-statistic) General case

31 Y=    X     X   (1,1,1) (x1, x2, x3) XX XX O Y1x111Y2=x21+2Y3x313Y1x111Y2=x21+2Y3x313 DATA (Y 1, Y 2, Y 3 ) Y design space Geometrical perspective

32 Linear Regression

33

34 What is Differential Equation? Let’s take this a bit further:

35 What is Differential Equation? Let’s take this a bit further: And you all remember linear systems:

36 Linear Dynamical Systems! Can you read this?

37 Phase Space: f1f1 f2f2 What happens if A is a stretcher?

38 Differential Linear Systems It is the nature of A which determines the behavior of the system

39 Differential Linear Systems The return of Eigenvectors...

40 Differential Linear Systems

41 Nonlinear Dynamical Systems

42


Download ppt "What is Linear Algebra? Notation:. Linear Transformation Linear Operator Matrix Multiplication n-Dimensional Linear Mapping Linear Coordinate Transformation."

Similar presentations


Ads by Google