1 / 17

Three topics for the day:

Three topics for the day:. Elementary Row Operations. Row Echelon Form. Reduced Row Echelon Form. …in Sec. 7.3b. When using Gaussian Elimination, we work primarily on the coefficients of the variables. Knowing this, it is often easier to

arthur-murray
Télécharger la présentation

Three topics for the day:

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. Three topics for the day: Elementary Row Operations Row Echelon Form Reduced Row Echelon Form …in Sec. 7.3b

  2. When using Gaussian Elimination, we work primarily on the coefficients of the variables. Knowing this, it is often easier to perform these operations on the matrix form of a system of equations… Example – the system: The augmented matrix: The coefficient matrix:

  3. Definition: Row Echelon Form (REF) of a Matrix A matrix is in row echelon form if the following conditions are satisfied: 1. Rows consisting entirely of 0’s (if there are any) occur at the bottom of the matrix. 2. The first entry in any row with nonzero entries is 1. 3. The column subscript of the leading 1 entries increases as the row subscript increases. This should look somewhat familiar… Example: Triangular Form?!?!

  4. Elementary Row Operations on a Matrix A combination of the following operations will transform a matrix to row echelon form: 1. Interchange any two rows. Notation: R indicates interchanging the i-th and j-th rows ij 2. Multiply all elements of a row by a nonzero real number. Notation: kR indicates multiplying the i-th row by k i 3. Add a multiple of one row to any other row. Notation: kR + R indicates adding k times the i-th row to the j-th row j i

  5. Example: Solve by Finding the REF Augmented Matrix:

  6. Example: Solve by Finding the REF z = 3 y – z = 4  y = 7 x – y + 2z = –3  x = –2 Solution: (x, y, z) = (–2, 7, 3)

  7. Guided Practice What elementary row operations applied to will yield the given matrix? 2R + R 1 2

  8. Guided Practice What elementary row operations applied to will yield the given matrix? (1/4)R 3

  9. Guided Practice Find a row echelon form for the given matrix.

  10. ReducedRow Echelon Form

  11. But first, a brief review of last few slides… Augmented Matrix:

  12. But first, a brief review of the last few slides… z = –3 y – 2z = 8  y = 2 x + 2y – 3z = 12  x = –1 Solution: (x, y, z) = (–1, 2, –3)

  13. It is possible to continue applying elementary row operations to a REF matrix until every column that has a leading 1 has 0’s elsewhere. This is the Reduced Row Echelon Form (RREF) of the matrix. Reduced Row Echelon Form Let’s see this with our previous example…

  14. From this final RREF matrix, we can read the solution of (–1, 2, –3) directly… We can also use the calculator to find a RREF matrix…  Try it with our initial augmented matrix:

  15. More Good Examples Solve the system using a RREF matrix Augmented Matrix: Solution: (x, y, z, w) = (2, 7, –1, –3) RREF: (Calc)

  16. More Good Examples RREF Matrix: Solve the system using a RREF matrix For every value of z, we can use these two equations to find a different x and y!!! Solution: Set of all ordered triples in the form (–3z + 5, 2z – 2, z), where z is any real number

  17. More Good Examples Solve the system using a RREF matrix Augmented Matrix: RREF Matrix: Solution: Set of all ordered 4-tuples of the form (–z – 2w + 1, 2z + w – 1, z, w), z and w any real #’s

More Related