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Q40E

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Linear Algebra With Applications
Found in: Page 36
Linear Algebra With Applications

Linear Algebra With Applications

Book edition 5th
Author(s) Otto Bretscher
Pages 442 pages
ISBN 9780321796974

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Short Answer

a. Using technology, generate a random 4×3 matrix A. (The entries may be either single-digit integers or numbers between 0 and 1, depending on the technology you are using.) Find rref(A). Repeat this experiment a few times.

b. What does the reduced row-echelon form of most 4×3matrices look like? Explain.

a. A 3×4 matrix A has rrefA=10-1012000000

b. The reduced row-echelon form of matrix has leading 1’s with zero elements below the leading 1’s and non-zero elements above the leading 1’s.

See the step by step solution

Step by Step Solution

Step 1: Consider the matrix.

The reduced row-echelon form of a matrix has number of leading 1’s in each row and is denoted as rrefA=1a0001.

The matrix is,

A=123456789123

Step 2: Find the reduced row-echelon form.

Consider the matrix

A=123456789123

=A=789067127000000

rrefA10-1012000000

localid="1659343693826" Therefore,rrefA10-1012000000.

Step 3: Explanation for the reduced row-echelon form.

A matrix in reduced row echelon form is used to solve systems of linear equations. There are four prerequisites for the reduced row echelon form:

  • The number 1 is the first non-zero integer in the first row (the leading entry).
  • The second row begins with the number 1, which is more to the right than the first row's leading item. The number 1 must be further to the right in each consecutive row.
  • Each row's first item must be the sole non-zero number in its column.
  • Any rows that are not zero are pushed to the bottom of the matrix.

Consider the reduced row-echelon form.

rrefA10-1012000000

The reduced row-echelon form of matrix has leading 1’s with zero elements below the leading 1’s and non-zero elements above the leading 1’s.

Step 4: Final answer.

a. rrefA10-1012000000

b. The reduced row-echelon form of matrix has leading 1’s with zero elements below the leading 1’s and non-zero elements above the leading 1’s.

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