Mathematics 2 2-1a Vectors and Matrices Vector Addition and - - PowerPoint PPT Presentation

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Mathematics 2 2-1a Vectors and Matrices Vector Addition and - - PowerPoint PPT Presentation

Mathematics 2 2-1a Vectors and Matrices Vector Addition and Subtraction Example (FEIM): What is the resultant of vectors F 1 , F 2 , and F 3 ? F 1 = 5 i + 6 j + 3 k F 2 = 11 i + 2 j + 9 k F 3 = 7 i 6 j 4 k R = (5 + 11 + 7) i + (6 + 2


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2-1a Mathematics 2

Vectors and Matrices

Vector Addition and Subtraction Example (FEIM): What is the resultant of vectors F1, F2, and F3? F1 = 5i + 6j + 3k F2 = 11i + 2j + 9k F3 = 7i – 6j – 4k R = (5 + 11 + 7)i + (6 + 2 – 6)j + (3 + 9 – 4)k = 23i + 2j + 8k

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2-1b Mathematics 2

Vectors and Matrices

Vector Dot Product Projection of a vector:

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2-1c Mathematics 2

Vectors and Matrices

Example (FEIM): What is the angle between the vectors F1 and F2? F1 = 5i + 4j + 6k F2 = 4i + 10j + 7k cos = F

1 •F 2

|F

1 ||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

| F

2 | =

20+ 40+ 42 16+100+ 49 = 7.9

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2-2a Mathematics 2

Vectors and Matrices

Matrix Addition and Subtraction 1 2 3 4 + 1 2 3 4 = 2 4 6 8

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2-2b Mathematics 2

Vectors and Matrices

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

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2-2c Mathematics 2

Vectors and Matrices

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 = A

T if bij = aij

T

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2-2d1 Mathematics 2

Vectors and Matrices

Determinant of a Matrix For a 2 x 2 matrix: For a 3 x 3 matrix:

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2-2d2 Mathematics 2

Vectors and Matrices

a1 a2 a3 b1 b2 b3 c1 c2 c3 The formula for 3 x 3 matrix in the NCEES Handbook is: = a1b2c3 +a2b3c1 +a3b1c2 a3b2c1 a2b1c3 a1b3c2

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2-3a1 Mathematics 2

Vectors and Matrices

Vector Cross Product

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2-3a2 Mathematics 2

Vectors and Matrices

Volume inside vectors A,B,C = A•(BC)

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2-3b1 Mathematics 2

Vectors and Matrices

Example (FEIM): What is the area of the parallelogram made by vectors F1 and F2? F1 = 5i + 4j + 6k F2 = 4i + 10j + 7k i j k 5 4 6 4 10 7 = 28 60

( )i 35 24 ( )j+ 5016 ( )k = 32i11j+34k

F

1 F 2 =

A = 1024+121+1156 = 48

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2-3b2 Mathematics 2

Vectors and Matrices

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

1 • F 2 F 3

( ) = 5i 4j+3k ( )• 32i11j+34k ( )

= 160+ 44+102 = 306

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2-4a Mathematics 2

Vectors and Matrices

Cofactor Matrix Cofactor matrix of 1 2 3 4 5 6 7 8 8 The cofactor of 1 is 5 6 8 8 and 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

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–3 6 –3 –8 10 –3

2-4b Mathematics 2

Vectors and Matrices

Inverse Matrices Example (FEIM): = 1 2 3 4 5 6 7 8 8

–1

8 –13 6 1 3 For 2 x 2 matrix A: For 3 x 3 matrix A: = 10 3 –8 3 –1 –13 3 8 3 2 2 –1 –1

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–4 –2 2 2 3

2-4c Mathematics 2

Vectors and Matrices

Matrices – Solve Simultaneous Equations Gauss-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 1 1 1 3 1 2

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2-4d Mathematics 2

Vectors 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 = 3 246 82

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2-5a Mathematics 2

Progressions and Series

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

  • r

Subtract 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.

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2-5b Mathematics 2

Progressions and Series

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

  • r

If any of the possible answers are integer multiples of the last number, try that 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.

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2-5c Mathematics 2

Progressions 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 = 4 2

( ) 3 ( ) + 41 ( ) 7 ( )

( )

2 = 54

  • r

S = 3+10+17+ 24 = 54 Therefore, (D) is correct.

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2-5d Mathematics 2

Progressions 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 7

4)

1 7 = 1200

  • r

S = 3+ 21+147+1029 = 1200 Therefore, (D) is correct.

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2-5e Mathematics 2

Progressions and Series

Power Series Valid rules for power series:

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2-5f Mathematics 2

Progressions and Series

Taylor’s Series Example (FEIM): What is Taylor’s series for sin x about a = 0 (or Maclaurin’s series for sin x)? sinx = sin0+ cos0x sin0x

2

2! cos0x

3

3!... x x

3

3! + x

5

5! x

7

7! +...+(1 )

n

x

2n+1

(2n +1 )!

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2-6a Mathematics 2

Probability 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 meets success or failure.

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2-6b Mathematics 2

Probability and Statistics

Combinations Therefore, (C) is correct. Example (FEIM): A pizza restaurant offers 5 toppings. Given a one-topping minimum, how many combinations are possible? (A) 5 (B) 10 (C) 31 (D) 36 Ctotal = Ci = 5! 1 !(51 )! +

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

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2-6c Mathematics 2

Probability and Statistics

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

  • rders 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 the batting 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

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2-7a Mathematics 2

Laws of Probability

  • 1. General character of probability
  • 2. Law of total probability
  • 3. Law of compound or joint probability
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2-7b Mathematics 2

Laws of Probability

Example 1 (FEIM): One bowl contains eight white balls and two red balls. Another bowl contains four yellow balls and six black balls. What is the probability of getting a red ball from the first bowl and a yellow ball from the second bowl

  • n 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
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2-7c Mathematics 2

Laws of Probability

Example 2 (FEIM): One bowl contains eight white balls, two red balls, four yellow balls, and six black balls. What is the probability of getting a red ball and then a yellow ball 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 there are 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

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2-7d Mathematics 2

Laws of Probability

Probability Functions

  • Discrete variables have distinct finite number of values.
  • The sum total of all outcome probabilities is 1.
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2-7e Mathematics 2

Laws of Probability

Binomial Distribution Example (FEIM): Five percent of students have red hair. If seven students are selected at random, what is the probability that exactly three will have red hair? F(3) = 7! 3!(7 3)!(0.05

3)(0.95 4) = 0.00356

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2-7f Mathematics 2

Laws 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
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2-7g Mathematics 2

Laws 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?

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2-7h Mathematics 2

Laws 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 value Column 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)

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2-7i Mathematics 2

Laws 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 NCEES Unit Normal Distribution Table, probability = 0.9987. Therefore, (B) is correct. z = x µ

  • = 416

4 = 3

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2-7j Mathematics 2

Laws 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

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2-7k Mathematics 2

Laws of Probability

Example (FEIM): A t-distribution with 4 degrees of freedom has a mean of 4 and a standard deviation of 4. If 5% of the population is greater than a value, what is that value? From the NCEES t-Distribution Table for = 0.05 and n = 4,tn, = 2.132 x = tn, +µ = (2.132)(4)+ 4 = 12.528

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2-8a Mathematics 2

Statistical 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

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2-8b Mathematics 2

Statistical Calculations

Weighted Arithmetic Mean Example (FEIM): What is the weighted arithmetic mean of the following data? data weighting factor 62 62 72 1 2 3 X

w =

wi Xi

  • wi
  • = (1

)(62)+(2)(62)+(3)(72) 1+ 2+3 = 67

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2-8c Mathematics 2

Statistical 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 and count 15 data points. We see that both the 15th and 16th data points are 69, so the median is 69. If there is an even number of data points and the points on either side of the median are not the same, then the median is halfway in between the two middle points.

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2-8d Mathematics 2

Statistical 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.

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2-8e Mathematics 2

Statistical 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 =

Xi

2

  • N

µ

2 = 143,225

30 2069 30

  • 2

= 17.77 = 4.214

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2-8f Mathematics 2

Statistical Calculations

Sample Variance: Sample Standard Deviation: Coefficient of Variation: Root-Mean-Square: