Chapter 11 (Alg 2) Flashcards

1
Q

Matrix

A

A rectangular arrangement of numbers in horizontal rows and vertical columns

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Element

A

A number in the matrix

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Dimensions Of A Matrix

A

“m x n”

Rows by columns

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Equal (Matrices)

A

dimensions are the same and elements are in corresponding positions

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Adding and Subtrating Matrices

A

only if they have the same dimensions

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

Scalar

A

In operations with matrices, a real number is called a scalar

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Scalar Multiplication

A

Multiplying a Matrix by a scalar, you multiply each element by the scalar

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Properties of Matrix Addition and Subraction

A
Let A, B and C be matrices with the same dimension, and let k be a scalar:
APOA (A + B) + C = A + (B + C)
CPOA A + B = B + A
DPOA k(A + B) = kA + kB
DPOS k(A - B) = kA - kB
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Multiplying Matrices

A

If the # of columns in A is = the # rows in B; you can multiply them, it’s defined.
If the dimensions of A are m x n and dimensions of B are n x p, then the dimensions of the product AB are m x p

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

Maxtrix Multiplication

A

multiply the elements of each row of the first matrix by the elements of each column of the second matrix, and then add the products

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

Properties of Matrix Multiplication

A
Let A, B and C be matrices
APOM A(BC)
LDP A(B + C) = AB + AC
RDP (A + B)C = AC + BC
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Identity Matrix

A

A matrix that has 1’s on the main diagonal and 0’s elsewhere
{}
If A is any n x n matrix and I is the n x n identity matrix, then IA = AI = A

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

Inverse matrices

A

if the product of two matrices (in both orders) is the n x n identity matrix
{}
You can use the calc to find the inverse of a matrix

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

System of linear equations in standard form

A

AX = B
A is the coefficient matrix
X is the matrix of variables
B is the matrix of constants

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

Solution of the linear equations

A

X = A^-1 B

Multiply the inverse of matrix A by matrix B

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

Determinant

A

Associated with each sqaure (n x n) matrix is a real number called its determinant
Denoted by det A or |A|

17
Q

The determinant of a 2 x 2 matrix

A

the difference of the products of the elements on the diagonals

18
Q

Cramer’s Rule

A

using the determinant to solve a system of linear equations

19
Q

Cramer Rule for a 2 x 2 system

A

Let A be the coefficient matrix of the linear system
{}
ax + by = e ; cx + dy = f {a b
c d}
- - - - - - - - - - - - -
If det A DNE 0, then the system has exactly one solution. The solution is:
|e b| |a e|
x = |f d| y = |c f|
——- ——-
|A| |A|

20
Q

Sequence

A

A fucntion whose domain is a set of consectuive integers

21
Q

Terms

A

Values in the range of the function

22
Q

Finite, Infinite sequences

A

1,2,3,4 ; 1,2,3,4 . . .

23
Q

Series

A

When the terms of a sequence are added together

24
Q

Formulas for special series

A

n terms / 1 + 1 + 1 + 1 + 1 + 1 . . . = n
1 + 2 + 3 + 4 + 5 . . . = n(n + 1) over 2
1^2 + 2^2 + 3^2 + 4^2 . . . = n(n + 1)(2n + 1) over 6

25
Q

Arithmetic Sequence

A

the difference between the terms is the same

26
Q

Common difference

A

the constant difference is called the common difference and is denoted by d

27
Q

Rule for an Arithmetic Sequence

A

The nth term of an arithmetic sequence with first term a sub 1 and common difference d can be found using the following rule.
a sub n = a sub 1 + (n - 1)d

28
Q

Arithmetic series

A

adding the terms of an arithmetic sequence

29
Q

The sum of a finite Arithmetic Series

A

The sum of the first n terms of an arithmetic series is given by the following formula
S sub n = n(a sub 1 + a sub n all over 2)

30
Q

Geometric Sequence

A

the ratio of any term to the previous term is constant

31
Q

Common Ratio

A

the constant ratio and is denoted by r

32
Q

Rule for a Geometric Sequence

A

The nth term ofa geometric sequence with first term a sub 1 and common ratio r can be found using the following rule.
a sub n = a sub 1 r^(n-1)

33
Q

Geometric Series

A

the expression formed by adding the terms of a geometric sequence

34
Q

The sum of a finite Geometric Series

A

The sum of the first n terms of a geometric series with common ratio r when r DNE 1, is given by the following formula:
S sub n = a sub 1 (1 - r^n over 1 -r)

35
Q

The Sum of an infinite Geometric Series

A

The sum of an infinite geometric series with first term a sub 1 and common ratio r is given by:
S = a sub 1 / 1 - r
|r| = 1, the series has no sum

36
Q

Write a repeating Decimal as a Fraction

A

Example: 0.17171717…
0.17171717… = 0.17 + 0.0017 + 0.000017 . . .
= 17(0.01) + 17(0.01)^2 + 17(0.01)^3 . . .
= 17(0.01) over 1 - 0.01
= 17/99