What is the rank of an nxn matrix and how is it determined?

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SUMMARY

The rank of an nxn matrix is determined by the number of pivots present in the matrix after performing row reduction. In this discussion, the specific example provided indicates that the rank of the matrix is "2." The key to finding the rank lies in identifying the number of linearly independent columns and the number of zero rows after row reduction. The problem referenced is from "Applied Linear Algebra" by Olver, specifically problem 1.8.17.

PREREQUISITES
  • Understanding of matrix row reduction techniques
  • Familiarity with the concept of linear independence
  • Knowledge of Reduced Row Echelon Form (RREF)
  • Basic principles of linear algebra
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  • Study the process of performing row reduction on matrices
  • Learn how to identify linearly independent columns in a matrix
  • Explore the concept of Reduced Row Echelon Form (RREF) in detail
  • Review examples of calculating the rank of matrices in "Applied Linear Algebra" by Olver
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Homework Statement


http://img94.imageshack.us/img94/5227/nxnmatrix.png

Homework Equations



Rank(A) = the number of pivots in Matrix A.

The Attempt at a Solution



I've spent some time rewriting the matrix and other operations. I really just feel like I'm banging my head against the wall. Not making any progress. Just need to be pointed in the right direction. Oh and the answer is "2." No idea how they get that. Thanks for any help in advance.

Edit: For reference this problem is from Applied Linear Algebra by Olver. Problem 1.8.17.
 
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JonathanT said:

Homework Statement


http://img94.imageshack.us/img94/5227/nxnmatrix.png


Homework Equations



Rank(A) = the number of pivots in Matrix A.

The Attempt at a Solution



I've spent some time rewriting the matrix and other operations. I really just feel like I'm banging my head against the wall. Not making any progress. Just need to be pointed in the right direction. Oh and the answer is "2." No idea how they get that. Thanks for any help in advance.

Stop and ask yourself how many linearly independent columns compose your matrix A.

If that notion confuses you, ask yourself how many zero ROWS you have after row reduction...
 
Last edited by a moderator:
I think I get it. I was reducing the matrix wrong. I think I have the correct rref of the matrix now. Take a look and let me know what you think.

Solution
 

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