Chapter 6 - Matrices

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32 Terms

1
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matrices with n rows and m columns is a what matrix

n x m matrix

2
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what is n

rows

3
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what is m 

columns

4
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square matrix 

number of rows = number of columns

5
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zero matrix

all the elements are zero

6
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identity matrix

square matrix in which the elements on the leading diagonals starting top left are all 1 and remaining elements are 0

7
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what are identity matrices denoted by

where k describes size

<p>where k describes size</p>
8
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what is the condition for adding and subtracting matrices

they must be same size

9
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conditions for matrix multiplication

you can only multiply if the number of columns in first matrix = number of rows in second

10
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does the order you multiply matrices matter 

yes as AB ≠ BA

11
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how to multiply matrices

multiply elements in each row in first matric by corresponding eleements in each column in the 2nd matrix and add together

12
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what is the size of multiplied matrix

number of rows in first and columns in second

13
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<p>determinant in 2 × 2 matric </p>

determinant in 2 × 2 matric

ad - bc

14
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type of matric if determinant is equal to 0

singular matrix

15
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what type of matrix if determinant ≠ 0

non singular

16
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which type of matrix has no inverse

non singular

17
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<p>how to find determinant of 3 × 3 matrix</p>

how to find determinant of 3 × 3 matrix

times a b c by its minor

<p>times a b c by its minor</p>
18
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minor of element in 3 x e matric 

determinant of the 2 × 2 matrix that remains after the row and column containing the element have been crossed out

19
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imverse of matrix 

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20
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what is the matrix multiplied by its inverse equal to

identity

21
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<p>how to find inverse of 2 × 2 matric </p>

how to find inverse of 2 × 2 matric

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22
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transpose of matric 

rows become columns and columns become rowas 

23
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how to find inverse of 3 × 3 matric

  • find determinant

  • matrix of minors

  • alternating signs change

  • transpose

  • multiply by 1/det

<ul><li><p>find determinant</p></li><li><p>matrix of minors</p></li><li><p>alternating signs change</p></li><li><p>transpose</p></li><li><p>multiply by 1/det </p></li></ul><p></p>
24
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what is (AB)^-1 equal to

B^-1 A^-1

25
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<p>how to work out x y z</p>

how to work out x y z

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26
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when is a linear equation consitent

if there is at least one se of values that satisfies all the equations simultaneously

27
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matrix meet at one point

  • consistent

  • one solution

  • matrix is non singular so inverse exists

<ul><li><p>consistent </p></li><li><p>one solution</p></li><li><p>matrix is non singular so inverse exists</p></li></ul><p></p>
28
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<p>matrix sheaf</p>

matrix sheaf

  • consistent

  • infinetly many solutions

  • singular matrix

    • equations all need to be consistent but original equations not multiples of each other

29
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matrix prism

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  • inconsistent equations

  • no solutions

  • singular

  • originals and not any type of multiples

30
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matrix parallel planes

  • inconsistent

  • no solutions

  • singular

  • at least 2 of the lhs of equations are multiples of eachother

<ul><li><p>inconsistent</p></li><li><p>no solutions</p></li><li><p>singular</p></li><li><p>at least 2 of the lhs of equations are multiples of eachother</p></li></ul><p></p>
31
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<p>matric same plane</p>

matric same plane

  • conssitent

  • infinitely many solutions

  • singular

  • if all 3 equatrions of planes are multiples of eachother

32
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self inverse matrix

matrix multiples by itself is identity matrix