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[[MATH351: Linear Algebra and its applications]] | [[MATH351: Linear Algebra and its applications]] | ||
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+ | RREF (Reduced Row Echelon Form) | ||
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+ | A matrix is in RREF form if it satisfies all of the following conditions: | ||
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+ | a. If a row has nonzero entries, then the first nonzero entry is 1, called the leading 1 (or pivot) in this row. | ||
+ | b. If a column contains a leading 1, then all the other entries in that column are 0. | ||
+ | c. If a row contains leading 1, then each row above it contains a leading 1 further to the left. | ||
+ | |||
+ | Condition c implies that rows of 0's, if any, appear at the bottom of the matrix. |
Revision as of 21:31, 18 February 2010
MATH351: Linear Algebra and its applications
RREF (Reduced Row Echelon Form)
A matrix is in RREF form if it satisfies all of the following conditions:
a. If a row has nonzero entries, then the first nonzero entry is 1, called the leading 1 (or pivot) in this row. b. If a column contains a leading 1, then all the other entries in that column are 0. c. If a row contains leading 1, then each row above it contains a leading 1 further to the left.
Condition c implies that rows of 0's, if any, appear at the bottom of the matrix.