4-1 Matrices and Data Warm Up Lesson Presentation Lesson Quiz

Slides:



Advertisements
Similar presentations
2.3 Modeling Real World Data with Matrices
Advertisements

The table shows the top scores for girls in barrel racing at the 2004 National High School Rodeo finals. The data can be presented in a table or a spreadsheet.
The table shows the top scores for girls in barrel racing at the 2004 National High School Rodeo finals. The data can be presented in a table or a spreadsheet.
Warm Up Distribute. 1. 3(2x + y + 3z) 2. –1(x – y + 2) State the property illustrated. 3. (a + b) + c = a + (b + c) 4. p + q = q + p 6x + 3y + 9z –x +
Simplifying Expressions
Wednesday, July 15, 2015 EQ: What are the similarities and differences between matrices and real numbers ? Warm Up Evaluate each expression for a = -5,
Operations with Complex Numbers
100’s of free ppt’s from library
Objective Video Example by Mrs. G Give It a Try Lesson 4.1  Add and subtract matrices  Multiply a matrix by a scalar number  Solve a matrix equation.
Row 1 Row 2 Row 3 Row m Column 1Column 2Column 3 Column 4.
4.2 Operations with Matrices Scalar multiplication.
Algebra 2: Lesson 5 Using Matrices to Organize Data and Solve Problems.
Holt McDougal Algebra 1 10-Ext Matrices 10-Ext Matrices Holt Algebra 1 Lesson Presentation Lesson Presentation Holt McDougal Algebra 1.
4-1 Matrices and Data Warm Up Lesson Presentation Lesson Quiz
Holt Algebra 2 4-1,4-2 Matrices and Data The table shows the top scores for girls in barrel racing at the 2004 National High School Rodeo finals. The data.
5-9 Operations with Complex Numbers Warm Up Lesson Presentation
Holt Algebra Matrices and Data The table shows the top scores for girls in barrel racing at the 2004 National High School Rodeo finals. The data.
4.1: Matrix Operations Objectives: Students will be able to: Add, subtract, and multiply a matrix by a scalar Solve Matrix Equations Use matrices to organize.
4.1 Using Matrices Warm-up (IN) Learning Objective: to represent mathematical and real-world data in a matrix and to find sums, differences and scalar.
Matrices: Simplifying Algebraic Expressions Combining Like Terms & Distributive Property.
Matrix Operations.
Section 3.5 Revised ©2012 |
Holt CA Course 1 1-4Properties of Numbers Warm Up Warm Up California Standards Lesson Presentation Preview.
Solving Two-Step and 3.1 Multi-Step Equations Warm Up
MATRICES MATRIX OPERATIONS. About Matrices  A matrix is a rectangular arrangement of numbers in rows and columns. Rows run horizontally and columns run.
Sec 4.1 Matrices.
Algebra Matrix Operations. Definition Matrix-A rectangular arrangement of numbers in rows and columns Dimensions- number of rows then columns Entries-
What is a Matrices? A matrix is a rectangular array of data entries (elements) displayed in rows and columns and enclosed in brackets. The number of rows.
Holt McDougal Algebra 2 Operations with Complex Numbers Perform operations with complex numbers. Objective.
Precalculus Section 14.1 Add and subtract matrices Often a set of data is arranged in a table form A matrix is a rectangular.
Add and subtract matrices. Multiply by a matrix scalar.
A rectangular array of numeric or algebraic quantities subject to mathematical operations. The regular formation of elements into columns and rows.
Ch. 12 Vocabulary 1.) matrix 2.) element 3.) scalar 4.) scalar multiplication.
4-1 Matrices and Data Warm Up Lesson Presentation Lesson Quiz
Splash Screen.
4-2 Multiplying Matrices Warm Up Lesson Presentation Lesson Quiz
Sections 2.4 and 2.5 Matrix Operations
12-1 Organizing Data Using Matrices
Christmas Packets are due on Friday!!!
Matrix Operations Free powerpoints at
Matrix Operations.
Welcome!  Please grab your Textbook,
4-1 Matrices and Data Warm Up Lesson Presentation Lesson Quiz
Simplifying Expressions
Algebra 1 Notes: Lesson 1-6: Commutative and Associative Properties
Matrix Operations.
Matrix Operations Free powerpoints at
What we’re learning today:
Matrix Operations Monday, August 06, 2018.
Matrix Operations.
Operations with Complex Numbers
Matrix Operations SpringSemester 2017.
Matrix Operations Free powerpoints at
Objectives Use the Commutative, Associative, and Distributive Properties to simplify expressions.
4-1 Matrices and Data Warm Up Lesson Presentation Lesson Quiz
Matrices Elements, Adding and Subtracting
MATRICES MATRIX OPERATIONS.
2.2 Introduction to Matrices
4-1 Matrices and Data Warm Up Lesson Presentation Lesson Quiz
4-1 Matrices and Data Warm Up Lesson Presentation Lesson Quiz
3.5 Perform Basic Matrix Operations
Objectives Use the Commutative, Associative, and Distributive Properties to simplify expressions.
Splash Screen.
Matrix Operations Ms. Olifer.
What is the dimension of the matrix below?
Matrix Operations SpringSemester 2017.
3.5 Perform Basic Matrix Operations Algebra II.
Presentation transcript:

4-1 Matrices and Data Warm Up Lesson Presentation Lesson Quiz Holt McDougal Algebra 2 Holt Algebra 2

Warm Up Distribute. 1. 3(2x + y + 3z) 2. –1(x – y + 2) State the property illustrated. 3. (a + b) + c = a + (b + c) 4. p + q = q + p 6x + 3y + 9z –x + y – 2 Associative Property of Addition Commutative Property of Addition

Objectives Use matrices to display mathematical and real-world data. Find sums, differences, and scalar products of matrices.

Vocabulary matrix dimensions entry address scalar

The table shows the top scores for girls in barrel racing at the 2004 National High School Rodeo finals. The data can be presented in a table or a spreadsheet as rows and columns of numbers. You can also use a matrix to show table data. A matrix is a rectangular array of numbers enclosed in brackets.

Matrix A has two rows and three columns Matrix A has two rows and three columns. A matrix with m rows and n columns has dimensions m  n, read “m by n,” and is called an m  n matrix. A has dimensions 2  3. Each value in a matrix is called an entry of the matrix.

The address of an entry is its location in a matrix, expressed by using the lower case matrix letter with row and column number as subscripts. The score 16.206 is located in row 2 column 1, so a21 is 16.206.

Example 1: Displaying Data in Matrix Form Roast beef $3.95 $5.95 Turkey $3.75 $5.60 Tuna $3.50 $5.25 The prices for different sandwiches are presented at right. P = 3.95 5.95 3.75 5.60 3.50 5.25 A. Display the data in matrix form. B. What are the dimensions of P? P has three rows and two columns, so it is a 3  2 matrix.

Example 1: Displaying Data in Matrix Form Roast beef $3.95 $5.95 Turkey $3.75 $5.60 Tuna $3.50 $5.25 The prices for different sandwiches are presented at right. C. What is entry P32? What does is represent? The entry at P32, in row 3 column 2, is 5.25. It is the price of a 9 in. tuna sandwich. D. What is the address of the entry 5.95? The entry 5.95 is at P12.

Use matrix M to answer the questions below. Check It Out! Example 1 Use matrix M to answer the questions below. a. What are the dimensions of M? 3  4 b. What is the entry at m32? 11 c. The entry 0 appears at what two addresses? m14 and m23

You can add or subtract two matrices only if they have the same dimensions.

Example 2A: Finding Matrix Sums and Differences Add or subtract, if possible. 3 –2 1 0 4 7 2 5 1 –1 1 4 –2 3 2 –2 3 1 0 4 W = , X = , Y = , Z = W + Y Add each corresponding entry. 3 –2 1 0 + 1 4 –2 3 = 3 + 1 –2 + 4 1 + (–2) 0 + 3 4 2 –1 3 = W + Y =

Example 2B: Finding Matrix Sums and Differences Add or subtract, if possible. 3 –2 1 0 4 7 2 5 1 –1 1 4 –2 3 2 –2 3 1 0 4 W = , X = , Y = , Z = X – Z Subtract each corresponding entry. 4 7 2 5 1 –1 2 –2 3 1 0 4 – 2 9 –1 4 1 –5 = X – Z =

Example 2C: Finding Matrix Sums and Differences Add or subtract, if possible. 3 –2 1 0 4 7 2 5 1 –1 1 4 –2 3 2 –2 3 1 0 4 W = , X = , Y = , Z = X + Y X is a 2  3 matrix, and Y is a 2  2 matrix. Because X and Y do not have the same dimensions, they cannot be added.

Check It Out! Example 2A Add or subtract if possible. 4 –2 –3 10 2 6 3 2 0 –9 –5 14 4 –1 –5 3 2 8 0 1 –3 3 0 10 A = , B = , C = , D = B + D Add each corresponding entry. B + D = 4 0 –8 6 2 18 + 4 –1 –5 3 2 8 0 1 –3 3 0 10 4 + 0 –1 + 1 –5 + (–3) 3 + 3 2 + 0 8 + 10 =

Check It Out! Example 2B Add or subtract if possible. 4 –2 –3 10 2 6 3 2 0 –9 –5 14 4 –1 –5 3 2 8 0 1 –3 3 0 10 A = , B = , C = , D = B – A B is a 2  3 matrix, and A is a 3  2 matrix. Because B and A do not have the same dimensions, they cannot be subtracted.

Check It Out! Example 2C Add or subtract if possible. 4 –2 –3 10 2 6 3 2 0 –9 –5 14 4 –1 –5 3 2 8 0 1 –3 3 0 10 A = , B = , C = , D = D – B Subtract corresponding entries. 0 1 –3 3 0 10 4 –1 –5 3 2 8 – –4 2 2 0 –2 2 = D – B =

You can multiply a matrix by a number, called a scalar You can multiply a matrix by a number, called a scalar. To find the product of a scalar and a matrix, or the scalar product, multiply each entry by the scalar.

Example 3: Business Application Use a scalar product to find the prices if a 10% discount is applied to the prices above. Shirt Prices T-shirt Sweatshirt Small $7.50 $15.00 Medium $8.00 $17.50 Large $9.00 $20.00 X-Large $10.00 $22.50 You can multiply by 0.1 and subtract from the original numbers. 6.75 13.50 7.20 15.75 8.10 18.00 9.00 20.25 7.5 15 8 17.5 9 20 10 22.5 7.5 15 8 17.5 9 20 10 22.5 7.5 15 8 17.5 9 20 10 22.5 0.75 1.5 0.8 1.75 0.9 2 1 2.25 – – 0.1 =

Example 3 Continued The discount prices are shown in the table. Discount Shirt Prices T-shirt Sweatshirt Small $6.75 $13.50 Medium $7.20 $15.75 Large $8.10 $18.00 X-large $9.00 $20.25

You can multiply by 0.2 and subtract from the original numbers. Check It Out! Example 3 Ticket Service Prices Days Plaza Balcony 1—2 $150 $87.50 3—8 $125 $70.00 9—10 $200 $112.50 Use a scalar product to find the prices if a 20% discount is applied to the ticket service prices. You can multiply by 0.2 and subtract from the original numbers. 150 87.5 125 70 200 112.5 150 87.5 125 70 200 112.5 150 87.5 125 70 200 112.5 120 70 100 56 160 90 30 17.5 25 14 40 22.5 – – 0.2 =

Discount Ticket Service Prices Check It Out! Example 3 Continued Discount Ticket Service Prices Days Plaza Balcony 1—2 $120 $70 3—8 $100 $56 9—10 $160 $90

Example 4A: Simplifying Matrix Expressions 3 –2 1 0 2 –1 1 4 –2 3 0 4 4 7 2 5 1 –1 P = Q= R = Evaluate 3P — Q, if possible. P and Q do not have the same dimensions; they cannot be subtracted after the scalar products are found.

Example 4B: Simplifying Matrix Expressions 3 –2 1 0 2 –1 1 4 –2 3 0 4 4 7 2 5 1 –1 P = Q= R = Evaluate 3R — P, if possible. = 3 1 4 –2 3 0 4 – 3 –2 1 0 2 –1 = 3 12 –6 9 0 12 – 3 –2 1 0 2 –1 3(1) 3(4) 3(–2) 3(3) 3(0) 3(4) – 3 –2 1 0 2 –1 0 14 –7 9 –2 13 =

Check It Out! Example 4a 4 –2 –3 10 4 –1 –5 3 2 8 3 2 0 –9 D = [6 –3 8] A = B = C = Evaluate 3B + 2C, if possible. B and C do not have the same dimensions; they cannot be added after the scalar products are found.

Check It Out! Example 4b 4 –2 –3 10 4 –1 –5 3 2 8 3 2 0 –9 D = [6 –3 8] A = B = C = Evaluate 2A – 3C, if possible. 4 –2 –3 10 = 2 – 3 3 2 0 –9 2(4) 2(–2) 2(–3) 2(10) = + –3(3) –3(2) –3(0) –3(–9) 8 –4 –6 20 = + –9 –6 0 27 = –1 –10 –6 47

Check It Out! Example 4c 4 –2 –3 10 4 –1 –5 3 2 8 3 2 0 –9 D = [6 –3 8] A = B = C = Evaluate D + 0.5D, if possible. = [6 –3 8] + 0.5[6 –3 8] = [6 –3 8] + [0.5(6) 0.5(–3) 0.5(8)] = [6 –3 8] + [3 –1.5 4] = [9 –4.5 12]

Lesson Quiz 1. What are the dimensions of A? 2. What is entry D12? Evaluate if possible. 3. 2A — C 4. C + 2D 5. 10(2B + D) 3  2 –2 Not possible