Linear Algebra Unit 1

0.0(0)
Studied by 6 people
call kaiCall Kai
Locked
learnLearn
examPractice Test
spaced repetitionSpaced Repetition
heart puzzleMatch
flashcardsFlashcards
GameKnowt Play
Card Sorting

1/17

encourage image

There's no tags or description

Looks like no tags are added yet.

Last updated 10:29 PM on 8/25/26
Name
Mastery
Learn
Test
Matching
Spaced
Call with Kai
Chat

No analytics yet

Send a link to your students to track their progress

18 Terms

1
New cards
<p>A=[k 0 , 0 1]</p>

A=[k 0 , 0 1]

Horizontal expansion (dilation) by k

2
New cards
<p>A= [1 0, 0 k]</p>

A= [1 0, 0 k]

Vertical expansion (dilation) by k

3
New cards
<p>A=[1 0, 0 -1]</p>

A=[1 0, 0 -1]

Reflection over the x1 axis

4
New cards
<p>A= [-1 0, 0 1]</p>

A= [-1 0, 0 1]

Reflection over the x2 axis

5
New cards
<p>A=[0 1, 1 0]</p>

A=[0 1, 1 0]

Reflection over the x1=x2 axis

6
New cards
<p>A=[0 -1, -1 0]</p>

A=[0 -1, -1 0]

Reflection over x1=-x2 axis

7
New cards
<p>A=[1 k, 0 1]</p>

A=[1 k, 0 1]

Horizontal shear of factor k

8
New cards
<p>A=[1 0, k 1]</p>

A=[1 0, k 1]

Vertical shear of factor k

9
New cards
<p>A=[cos(x) -sin(x), sin(x) cos(x)]</p>

A=[cos(x) -sin(x), sin(x) cos(x)]

Rotation of angle x about the origin

10
New cards
<p>A=[1 0, 0 0]</p>

A=[1 0, 0 0]

Projection onto the x1 axis

11
New cards
<p>A=[0 0, 0 1]</p>

A=[0 0, 0 1]

Projection onto the x2 axis

12
New cards

Homogeneous linear system

A linear system where Ax= the zero vector and A is a mxn matrix

13
New cards

Non homogeneous linear system

A linear system where Ax=b

14
New cards

Independent

A linear system where A=[a1, a2….] and Ax=0 vector for (xa1….=0 vector)

15
New cards

Dependent

A linear system where:

-One of the vectors in the set is the linear combination of another

-There are more vectors than entries in a vector

-The set contains the 0 vector

16
New cards

Consistent

A system with a possible solution

17
New cards

Inconsistent

A system with no solution, ie [0 0|1]

18
New cards

One to one

A translation where:

-each vector in Rm is the image of at most 1 vector in Rn

-T is linear and has only trivial solution

-A matrix is linearly independent