Matrix, in which there is a column of 0's or a row of 0's

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Discussion Overview

The discussion revolves around the implications of neglecting rows or columns of zeros in an n x m matrix. It explores the equivalence of such matrices in different contexts, including linear algebra applications and nullspace considerations.

Discussion Character

  • Debate/contested, Conceptual clarification, Mathematical reasoning

Main Points Raised

  • One participant questions the meaning of "equivalent" in the context of neglecting rows or columns of zeros in a matrix.
  • Another participant argues that neglecting a row of zeros can affect the nullspace of the matrix, suggesting that it provides solutions that would be lost if the row were omitted.
  • A different viewpoint suggests that in solving systems of equations, rows of zeros can be skipped as they do not provide additional information, but emphasizes that omitting them can alter the properties of the matrix.

Areas of Agreement / Disagreement

Participants express differing views on whether it is appropriate to neglect rows or columns of zeros, indicating that the discussion remains unresolved with multiple competing perspectives.

Contextual Notes

The discussion highlights the dependence on context, such as whether the matrix is used for solving equations or analyzing nullspaces, which may influence the treatment of rows or columns of zeros.

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Given an n x m matrix, in which there is a column of 0's or a row of 0's, would it be equivalent to write the matrix while neglecting the column or row of 0's?
 
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What do you mean by "equivalent"? If, for example, you were asked to the nullspace of a matrix, obviously, a row of 0's gives a solution that you would not get if you neglected that row.
 


If you are using a matrix to solve a system of equations (like one would do in a beginners linear algebra course), then you may skip writing rows of zeroes since they give you no information. But in general, you should not skip a row or column of zeroes since it changes the properties of the matrix (as mentioned above)
 


I see. Thanks for the replies.
 

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