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Matrix Reduced Row Echelon Form Calculator

Reduced Row Echelon Form:

\[ \text{A matrix is in RREF when:} \] \[ 1. \text{All nonzero rows are above any rows of all zeros} \] \[ 2. \text{Each leading entry is 1 (called a leading 1)} \] \[ 3. \text{Each leading 1 is the only nonzero entry in its column} \]

Enter matrix rows separated by newlines, elements separated by spaces (e.g., "1 2 3\n4 5 6")

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1. What is Reduced Row Echelon Form?

Reduced Row Echelon Form (RREF) is a special form of a matrix obtained through Gauss-Jordan elimination. It has leading 1s with zeros both above and below each leading coefficient, making it useful for solving systems of linear equations.

2. How Does the Calculator Work?

The calculator performs Gauss-Jordan elimination through these steps:

\[ \text{1. Forward elimination (Gaussian elimination)} \] \[ \text{2. Back substitution} \] \[ \text{3. Scaling rows to create leading 1s} \]

Key Operations:

3. Importance of RREF

Applications: RREF is essential for solving systems of linear equations, determining matrix rank, finding matrix inverses, and analyzing vector spaces.

4. Using the Calculator

Instructions: Enter your matrix with each row on a new line and elements separated by spaces. The calculator will process any real-valued matrix up to 10×10.

5. Frequently Asked Questions (FAQ)

Q1: What's the difference between REF and RREF?
A: REF has zeros below leading coefficients, while RREF also has zeros above them and ensures leading coefficients are 1.

Q2: Can all matrices be reduced to RREF?
A: Yes, every matrix has a unique RREF, though the process may involve row swaps.

Q3: How does RREF help solve linear systems?
A: The solutions can be read directly from the RREF form of the augmented matrix.

Q4: What does it mean if RREF has a row of zeros?
A: It indicates linear dependence among the original equations/vectors.

Q5: Can RREF be used for matrix inversion?
A: Yes, by augmenting with the identity matrix and reducing to RREF.

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