1 / 13

Matrices and Linear Systems

Matrices and Linear Systems. Key Vocabulary. Matrices-a rectangular arrangement of numbers that is used to organize information and solve problems. 6.1 Matrix Representations. Dimensions -the numbers of the rows and columns Entry or Element - each number in the matrix

judith
Download Presentation

Matrices and Linear Systems

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Matrices and Linear Systems

  2. Key Vocabulary • Matrices-a rectangular arrangement of numbers that is used to organize information and solve problems

  3. 6.1 Matrix Representations • Dimensions-the numbers of the rows and columns • Entry or Element- each number in the matrix • Identified as “a(subscript)ij” where iand j are the row number and column number column row

  4. 6.2 Matrix Operations Matrix Addition Add the corresponding entries *you can only add matrices that have the same dimension Scalar Multiplication Multiply the scalar by each value in the matrix Matrix Multiplication Multiply each entry in a row of matrix [A] by the corresponding entries in a column of matrix [B] *the number of entries in a row of matrix [A] must equal the number of entries in a column of matrix [B]

  5. Examples of Matrix Operations Matrix Addition Matrix Multiplication Scalar Multiplication

  6. 6.3 Solving Systems With Inverse Matrices • Identity Matrix is the square matrix that does not alter the entries of a square matrix under multiplication. [A] [I] = [A] • Inverse Matrix is the matrix that will produce an identity matrix when multiplied by [A]. [A] [A]^-1 = [1]

  7. Examples of Identity Matrix [ ] [ ] ] [ = 2 b 2 1 a 1 4 3 4 c 3 d ] 0 1 0 1 MULTIPLY EACH SIDE AND THEN USE SYSTEM OF EQUATIONS TO FIND EACH VARIABLE

  8. Example of Solving a System Using the Inverse Matrix • ] • ] • [ • [ • [ • ] • [ • = A X B -1 -1 • = ] [ I • -1 • = • -1 • =

  9. 6.4 Row Reduction Method 6.4 Row Reduction Method • Augmented Matrix is a single matrix that contains columns for the coefficients of each variable and a final column for the constant terms.

  10. 6.4 Row Reduction Method (cont.) • Similar to Elimination ] [ ORIGINAL EQUATION: 2x+y=5 5x+3y=13 5 2 1 0 .5 13 TO…. SOLUTION: (2,1)

  11. 6.5 Systems of Inequalities • Used to model real-world situations. • Systems of inequalities are similar to equations, however, when inequalities are multiplied or divided by a negative number the sign flips. • Inequalities are used to show restraints or limits for values. • To graph an equality, you graph the line and shade above or below the line depending on whether the value is greater than or less.

  12. 6.6 Linear Programming • Linear programming is finding a feasible region and finding the points that either give the maximum or minimum value to a specific expression. • This is used in business to find out ways of making maximum profit.

  13. Examples of Linear Programming • A pottery shop makes two kinds of pots, glazed and unglazed. An unglazed pot takes .5 hours to make on the pottery wheel, and 3 hours in the kiln. A glazed pot takes 1 hour on the wheel, and 18 in the kiln. The wheel is available for 10 hours a day. The 3 kilns in total can be used for 60 hours a day. The workshop must make at least 4 unglazed pots a day. The profit on an unglazed pot is 15$ and a glazed pot makes 50$. How many of each pot should the shop make to maximize profit?

More Related