Linear Transformations and Matrices - Matrix Algebra

0.0(0)
studied byStudied by 0 people
0.0(0)
full-widthCall Kai
learnLearn
examPractice Test
spaced repetitionSpaced Repetition
heart puzzleMatch
flashcardsFlashcards
GameKnowt Play
Card Sorting

1/13

encourage image

There's no tags or description

Looks like no tags are added yet.

Study Analytics
Name
Mastery
Learn
Test
Matching
Spaced

No study sessions yet.

14 Terms

1
New cards

What is a transformation?

Essentially another word for function (takes in a vector and spits on another vector)

  • We call it transformation so we can describe movement.

  • The input vector moves over to the output vector

<p>Essentially another word for function (takes in a vector and spits on another vector)</p><ul><li><p>We call it transformation so we can describe movement.</p></li><li><p>The input vector moves over to the output vector</p></li></ul><p></p>
2
New cards

Whats the trick to visualize all the vectors transformation?

Imagine the vectors head as points, then move the points to the output point.

3
New cards

What does linear mean in this case?

They have to be lines, straight lines. (no curves)

The origin has to be fixed in place.

  • diagonal lines should also not get curvy.

The lines should be parallel and evenly spaced.

4
New cards

So, what does linear transformations do to space?

It redraws the grid

Lines stay lines, origin stays still - the grid gets stretched, rotated, or squished.

<p>It redraws the grid</p><p>Lines stay lines, origin stays still - the grid gets stretched, rotated, or squished.</p>
5
New cards

How id a matrix tied to a transformation?

each column shows where the basis vectors (i, j) go.

The whole grid follows from those two moves.

<p>each column shows where the basis vectors (i, j) go.</p><p>The whole grid follows from those two moves.</p>
6
New cards

Matrix form meaning?

let the matrix xy just be some random matrix input. You can scale your original i and j to anywhere on a 2D plane

<p>let the matrix xy just be some random matrix input. You can scale your original i and j to anywhere on a 2D plane</p>
7
New cards

How do we find what a point a vector lands on if we rotate the vector 90 degrees counterclockwise?

rotate the i and j hat 90 degrees counterclockwise and then multiply that new matrix to your original vector

  • i and j hat would be [0,1 : -1,0] in this case

<p>rotate the i and j hat 90 degrees counterclockwise and then multiply that new matrix to your original vector</p><ul><li><p>i and j hat would be [0,1 : -1,0] in this case</p></li></ul><p></p>
8
New cards

Whats the process to view matrix multiplication?

Change the grid first, then the vector

Matrix columns = new grid directions.

<p>Change the grid first, then the vector</p><p>Matrix columns = new grid directions.</p>
9
New cards

Whats a shear?

A transformation that slides one axis while keeping the other fixed - turning squares into parallelograms.

<p>A transformation that slides one axis while keeping the other fixed - turning squares into parallelograms.</p>
10
New cards

Whats the process to view a vector that is linearly transformed?

move i to the given coordinate in the matrix, then j like shown in the picture.

<p>move i to the given coordinate in the matrix, then j like shown in the picture.</p>
11
New cards
<p>What happens when the i and j are linearly dependent of each other?</p>

What happens when the i and j are linearly dependent of each other?

Then the transformation will squish all of 2D space onto the line where those two vectors sit.

  • also known as the one demensional span of those two linearly dependent vectors.

<p>Then the transformation will squish all of 2D space onto the line where those two vectors sit.</p><ul><li><p>also known as the one demensional span of those two linearly dependent vectors.</p></li></ul><p></p>
12
New cards

What do matrices do?

Give us a way to describe where these transformations, it gives us the coordinates where these basis vectors land.

13
New cards

What does matrix multiplication do?

Its just a way to compute what that transformation does to a given vector

14
New cards

How can we imagine matrices?

We can interpret it as a certain transformation of space