mathematics 2 2-1a - valparaiso university slides/math2slides.pdf · mathematics 2 2-1a vectors and...

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2-1aMathematics 2Vectors and Matrices

Vector Addition and Subtraction

Example (FEIM):What is the resultant of vectors F1, F2, and F3?

F1 = 5i + 6j + 3kF2 = 11i + 2j + 9kF3 = 7i – 6j – 4k

R = (5 + 11 + 7)i + (6 + 2 – 6)j + (3 + 9 – 4)k= 23i + 2j + 8k


2-1bMathematics 2Vectors and Matrices

Vector Dot Product

Projection of a vector:


2-1cMathematics 2Vectors and Matrices

Example (FEIM):What is the angle between the vectors F1 and F2?

F1 = 5i + 4j + 6kF2 = 4i + 10j + 7k

!

cos" =F

1•F

2

|F1||F

2|

!

=20 + 40 + 42

25 +16 + 36( ) 16 +100 + 49( )= 0.905

!

" = 25.2°

F1 = 5i + 4j + 6k; F2 = 4i + 10j + 7k

!

Projection =F

1•F

2

| F2|

=20 + 40 + 42

16 +100 + 49= 7.9



Matrix Addition and Subtraction

1 2

3 4+

1 2

3 4=

2 4

6 8



Matrix Multiplication

1 2 3

4 5 6

7 10

8 11

9 12

=(1 x 7) + (2 x 8) + (3 x 9)

122

68

167



1 0 0

0 1 0

0 0 1

=

1 6 9

5 4 2

7 3 8

1 5 7

6 4 3

9 2 8

!

Identity Matrix: aij

= 1 for i = j;aij

= 0 for i " j

!

Transpose of a Matrix: B = AT if b

ij= a

ij

T


2-2d1Mathematics 2Vectors and Matrices

Determinant of a Matrix

For a 2 x 2 matrix:

For a 3 x 3 matrix:


2-2d2Mathematics 2Vectors and Matrices

a1 a2 a3

b1 b2 b3

c1 c2 c3

The formula for 3 x 3 matrix in the NCEES Handbook is:

!

= a1b

2c

3+ a

2b

3c

1+ a

3b

1c

2" a

3b

2c

1" a

2b

1c

3" a

1b

3c

2


2-3a1Mathematics 2Vectors and Matrices

Vector Cross Product


2-3a2Mathematics 2Vectors and Matrices

!

Volume inside vectors A,B,C = A •(B"C)


2-3b1Mathematics 2Vectors and Matrices

Example (FEIM):What is the area of the parallelogram made by vectors F1 and F2?F1 = 5i + 4j + 6kF2 = 4i + 10j + 7k

i j k

5 4 6

4 10 7

!

= 28" 60( )i" 35" 24( ) j+ 50"16( )k = "32i"11j+ 34k

!

F1"F

2=

!

A = 1024 +121+1156 = 48


2-3b2Mathematics 2Vectors and Matrices

What is the volume inside the parallelepiped made by vectors F1, F2, and F3?F1 = –5i – 4j + 3kF2 = 5i + 4j + 6kF3 = 4i + 10j + 7k

!

V = F1• F

2"F

3( ) = #5i# 4j+ 3k( ) • #32i#11j+ 34k( )= 160 + 44 +102 = 306



Cofactor Matrix

Cofactor matrix of

1 2 3

4 5 6

7 8 8

The cofactor of 1 is5 6

8 8and so on.

=

1 2 3

4 5 6

7 8 8

Cofactor –8

8

–3

10

–13

6

–3

6

–3

Classical Adjoint – transpose of the cofactor matrix

=

1 2 3

4 5 6

7 8 8

Adjoint –8

10

–3

8

–13

6

–3

6

–3


–3

6

–3

–8

10

–3


Inverse Matrices

Example (FEIM):

=

1 2 3

4 5 6

7 8 8

–1 8

–13

6

13

For 2 x 2 matrix A:

For 3 x 3 matrix A:

= 103

–83

–1

–133

83

2

2

–1

–1


–4

–2

2

2

3

0


Matrices – Solve Simultaneous EquationsGauss-Jordan Method

Example (FEIM):

=

3

–1

–13

and so on until =

!

2x + 3y " 4z = 1

3x " y " 2z = 4

4x " 7y " 6z = "7

–4

–2

–6

2

3

4

3

–1

–7

1

4

–7

1

4

–9

0

0

1

1

0

0

0

1

0

3

1

2


2-4dMathematics 2Vectors and Matrices

Matrices – Solve Simultaneous Equations (cont)Cramer’s Rule:

=

!

2x + 3y " 4z = 1

3x " y " 2z = 4

4x " 7y " 6z = "7

–4

–2

–6

1

4

–7

3

–1

–7

Example (FEIM):

x =–4

–2

–6

2

3

4

3

–1

–7

= 324682


2-5aMathematics 2Progressions and Series

Arithmetic ProgressionSubtract each number from the preceding (2nd – 1st etc.).If the difference is a constant, the series is arithmetic.

orSubtract the possible answers from the last number in the sequence.If the difference is the same, then that is the correct answer.

Example (FEIM):What is the next number in the sequence {14, 17, 20, 23,...}?

(A) 3(B) 9(C) 26(D) 37

{14 + 3 =17 + 3 = 20 + 3 = 23 + 3 =...}The series has a difference of +3 between each member, so the next number will be 26.Therefore, (C) is correct.


2-5bMathematics 2Progressions and Series

Geometric Progression

Divide each number by the preceding (2nd / 1st etc.).If the quotients are equal, the series is geometric.

orIf any of the possible answers are integer multiples of the last number, trythat number on others in the series.

Example (FEIM):What is the next number in the sequence {3, 21, 147, 1029,...}?

(A) 343(B) 2000(C) 3087(D) 7203

{3 x 7 = 21 x 7 = 147 x 7 = 1029 x 7 = …}Each number is seven times the previous number, so the next number in the series will be 7203.Therefore, (D) is correct.


2-5cMathematics 2Progressions and Series

Arithmetic Series

Example (FEIM):What is the summation of the series 3 + (n – 1)7 for four terms?

(A) 7(B) 24(C) 45(D) 54

!

S = 42( ) 3( ) + 4"1( ) 7( )( )

2= 54

or

S = 3 +10 +17 + 24 = 54

Therefore, (D) is correct.


2-5dMathematics 2Progressions and Series

Geometric Series

Example (FEIM):What is the summation of the series 3 x 7n-1 for four terms?

(A) 54(B) 149(C) 1029(D) 1200

!

S = 3(1" 74)

1" 7= 1200

or

S = 3 + 21+147 +1029 = 1200

Therefore, (D) is correct.


2-5eMathematics 2Progressions and Series

Power Series

Valid rules for power series:


2-5fMathematics 2Progressions and Series

Taylor’s Series

Example (FEIM):What is Taylor’s series for sin x about a = 0 (or Maclaurin’s series forsin x)?

!

sinx =sin0 + cos0x " sin0x

2

2!"

cos0x3

3!...

# x "x

3

3!+

x5

5!"

x7

7!+ ...+ ("1)n x

2n+1

(2n +1)!


2-6aMathematics 2Probability and Statistics

Probability• a priori knowledge about a phenomenon to predict the future

Statistics• data taken about a phenomenon to predict the future

Sets – probability and statistics divide the universal set into what meetssuccess or failure.


2-6bMathematics 2Probability and Statistics

Combinations

Therefore, (C) is correct.

Example (FEIM):A pizza restaurant offers 5 toppings. Given a one-topping minimum, howmany combinations are possible?

(A) 5(B) 10(C) 31(D) 36

!

Ctotal

= Ci=

5!

1!(5"1)!+

i =1

5

#5!

2!(5" 2)!+

5!

3!(5" 3)!+

5!

4!(5" 4)!+

5!

4!(5" 4)!

!

= 5 +10 +10 + 5 +1

= 31


2-6cMathematics 2Probability and Statistics

Permutations

Examples (FEIM):(a) A baseball coach has 9 players on a team. How many possible batting

orders are there?

n permutations taken n at a time

P(9,9) = 9! = 362,880

(b) A baseball coach has 11 players on the team. Any 9 can be in thebatting order. How many possible batting orders are there?

!

P n,n( ) =n!

n " n( )!=

n!

0!= n!

!

P 11,9( ) =11!

11" 9( )!= 19,958,400


2-7aMathematics 2Laws of Probability

1. General character of probability

2. Law of total probability

3. Law of compound or joint probability


2-7bMathematics 2Laws of Probability

Example 1 (FEIM):One bowl contains eight white balls and two red balls. Another bowlcontains four yellow balls and six black balls. What is the probability ofgetting a red ball from the first bowl and a yellow ball from the second bowlon one random draw from each bowl?

(A) 0.08(B) 0.2(C) 0.4(D) 0.8

Therefore, (A) is correct.

!

P(ry) = P(r )P(y) =2

10

"

# $

%

& '

4

10

"

# $

%

& ' = 0.08


2-7cMathematics 2Laws of Probability

Example 2 (FEIM):One bowl contains eight white balls, two red balls, four yellow balls, and sixblack balls. What is the probability of getting a red ball and then a yellowball drawn at random without replacement?

There are 20 total balls and two are red, so for the first draw, P(r) = 2/20.Since we assume the first draw was successful, on the second draw thereare only 19 balls left and four yellow balls, so P(y|r) = 4/19.

!

P(r,y) = P(r )P(y|r )

!

=2

20

"

# $

%

& '

4

19

"

# $

%

& ' =

8

380

!

= 0.021


2-7dMathematics 2Laws of Probability

Probability Functions

• Discrete variables have distinct finite number of values.• The sum total of all outcome probabilities is 1.


2-7eMathematics 2Laws of Probability

Binomial Distribution

Example (FEIM):Five percent of students have red hair. If seven students are selected atrandom, what is the probability that exactly three will have red hair?

!

F(3) =7!

3!(7" 3)!(0.053)(0.954) = 0.00356


2-7fMathematics 2Laws of Probability

Probability Cumulative Functions• Continuous variables have infinite possible values.• Define the probability that outcome is less than the value x.• F(–∞) –0; F(∞) = 1


2-7gMathematics 2Laws of Probability

Probability Density Functions

The area under (A) is 1/2, so it cannot be a probability distribution.Therefore, (A) is correct.

Example (FEIM):Which of the following CANNOT be a probability density function?


2-7hMathematics 2Laws of Probability

Normal or Gaussian Distribution

Convert the distribution to a unit normal distribution:

Find the probability on the unit normal chart:Column 1: f(x) = probability density of one particular valueColumn 2: F(x) = probability values < x = 1 – R(x)Column 3: R(x) = probability values > x = 1 – F(x)Column 4: 2R(x) = > x + < –x = 1 – W(x)Column 5: W(x) = –x < values < x = 1 – 2R(x)


2-7iMathematics 2Laws of Probability

Example (FEIM):A normal distribution has a mean of 16 and a standard deviation of 4.What is the probability of values greater than 4?

(A) 0.1295(B) 0.9987(C) 0.0668(D) 0.1336

Due to the symmetry of the distribution, R(–z) = F(z), so from the NCEESUnit Normal Distribution Table, probability = 0.9987.Therefore, (B) is correct.

!

z =x "µ

#=

4"16

4= "3


2-7jMathematics 2Laws of Probability

t-Distribution

Convert the distribution to unit normal distribution:

For n degrees of freedom, find tα,n that leads to probability α.Calculate probability like the normal distribution columns.

!

Values > t",n

:"

Values > t",n

:1# "

Values > t",n

+ Values < # t",n

: 2"

t",n

< Values < t",n

:1# 2"

!

t =x "µ

#


2-7kMathematics 2Laws of Probability

Example (FEIM):A t-distribution with 4 degrees of freedom has a mean of 4 and a standarddeviation of 4. If 5% of the population is greater than a value, what is thatvalue?

From the NCEES t-Distribution Table for

!

" = 0.05 and n = 4, tn,"

= 2.132

!

x = tn,"# +µ = (2.132)(4) + 4 = 12.528


2-8aMathematics 2Statistical Calculations

Arithmetic Mean

Example (FEIM):What is the mean of the following data?

61, 62, 63, 63, 64, 64, 66, 66, 67, 68, 68, 68, 68, 69, 69, 69, 69, 70, 70,70, 70, 71, 71, 72, 73, 74, 74, 75, 76, 79

!

X =61+ 62 + 2" 63 + 2" 64 + ...+ 79

30=

2069

30= 68.97


2-8bMathematics 2Statistical Calculations

Weighted Arithmetic Mean

Example (FEIM):What is the weighted arithmetic mean of the following data?

data weighting factor626272

123

!

X w

=w

iX

i"w

i"=

(1)(62) + (2)(62) + (3)(72)

1+ 2 + 3= 67


2-8cMathematics 2Statistical Calculations

Median• Half of the data points are less than the median, half of the data

points are greater than the median.

Example (FEIM):What is the median of the following data?61, 62, 63, 63, 64, 64, 66, 66, 67, 68, 68, 68, 68, 69, 69, 69, 69, 70, 70,70, 70, 71, 71, 72, 73, 74, 74, 75, 76, 79

There are 30 data points, so we start counting at the lowest value andcount 15 data points. We see that both the 15th and 16th data points are69, so the median is 69. If there is an even number of data points and thepoints on either side of the median are not the same, then the median ishalfway in between the two middle points.


2-8dMathematics 2Statistical Calculations

Mode• The data value that occurs most frequently.

Example (FEIM):What is the mode of the following data?61, 62, 63, 63, 64, 64, 66, 66, 67, 68, 68, 68, 69, 69, 69, 69, 69, 70, 70,70, 70, 71, 71, 72, 73, 74, 74, 75, 76, 79

69 is the most frequently represented number, so it is the mode.


2-8eMathematics 2Statistical Calculations

Variance:

Standard Deviation:

Example (FEIM):What is the variance and standard deviation of the following data?61, 62, 63, 63, 64, 64, 66, 66, 67, 68, 68, 68, 68, 69, 69, 69, 69, 70, 70,70, 70, 71, 71, 72, 73, 74, 74, 75, 76, 79

!

"2 =X

i

2#N

$µ2 =143,225

30$

2069

30

%

& '

(

) *

2

= 17.77

" = 4.214


2-8fMathematics 2Statistical Calculations

Sample Variance:

Sample Standard Deviation:

Coefficient of Variation:

Root-Mean-Square:

mathematics 2 2-1a - valparaiso university slides/math2slides.pdf · mathematics 2 2-1a vectors and...

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