1 / 10

MAT208

MAT208. FALL 2009 Kolman Sec. 2.1-2.3. Row Echelon Form. All zero rows appear at the bottom of the matrix The first nonzero entry from the left of any nonzero row is a ONE. (Leading one) For each nonzero row, the leading ONE is to the right and below any leading ones in preceding rows.

emiko
Download Presentation

MAT208

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. MAT208 FALL 2009 Kolman Sec. 2.1-2.3

  2. Row Echelon Form • All zero rows appear at the bottom of the matrix • The first nonzero entry from the left of any nonzero row is a ONE. (Leading one) • For each nonzero row, the leading ONE is to the right and below any leading ones in preceding rows.

  3. Row Reduced Echelon Form(RREF) • All properties as in row echelon form and one more property: • If a column contains a leading ONE, then all other entries in that column are ZERO.

  4. Row (Column) Equivalent Matrices • A is equivalent to B if B can be obtained through a finite sequence of elementary row (column) operations on A. • Every matrix is equivalent to itself. • Two m x n matrices A and B are equivalent iff B=PAQ for some nonsingular matrices P and Q.

  5. Equivalent Matrices

  6. 1. REF--- Gaussian Elimination 2. RREF-- Gauss Jordan Elimination 3. Ax=b has a solution Iffb can be written as a linear combination of the columns of A. Solving Systems

  7. Two-Part Solutions If Ax=b is a consistent nonhomogeneous linear system, every solution may be written as:

  8. Square matrices (currently) Not all matrices have an inverse. Finding an inverse: A matrix A is invertible if there exists a matrix, A-1, such that: A A-1= A-1A=In Finding Inverses

  9. Equivalent Statements • A is invertible; • Ax = 0 has only the trivial solution; • The reduced row echelon form of A is In; • A can be expressed as a product of elementary matrices; • Ax = b is consistent for every n x 1 matrix b; • The solution to Ax = b is ; and • Ax = b has exactly one solution for every n x 1 matrix b. More to come.

  10. To prove: • A-1 is unique. • If A is invertible, then the unique solution to Ax=b is x= A-1b. • If A and B are invertible , then so is AB and (AB)-1=B-1A-1.

More Related