Column Space of Matrix A and ref(A)

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SUMMARY

The discussion centers on the relationship between the column space of a matrix A and its row echelon form ref(A). It is established that the columns containing leading ones in ref(A) (specifically columns 1, 3, and 5) do indeed form the column space of ref(A). Furthermore, it is confirmed that the corresponding columns from the original matrix A also form the column space of A. However, it is clarified that while the column space of ref(A) and A are equivalent, the specific columns from ref(A) do not necessarily form the column space of A, as demonstrated by a counterexample.

PREREQUISITES
  • Understanding of matrix operations and transformations
  • Familiarity with concepts of column space and row echelon form
  • Knowledge of linear algebra terminology
  • Ability to construct and interpret counterexamples in linear algebra
NEXT STEPS
  • Study the properties of column spaces in linear algebra
  • Learn about the implications of row echelon form on matrix properties
  • Explore the concept of linear independence and spanning sets
  • Investigate counterexamples in linear algebra to solidify understanding
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Students of linear algebra, educators teaching matrix theory, and anyone seeking to deepen their understanding of the relationship between a matrix and its row echelon form.

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Homework Statement


Given a matrix A. So I can reduce A to ref(A). Let's say in ref(A), the columns that contain leading ones are column 1, 3, and 5. True or false:
(a) Columns 1, 3, and 5 from ref(A) form the column space of ref(A).
(b) The corresponding column 1, 3, and 5 from the original matrix A form the column space of matrix A.
(c) Columns 1, 3, and 5 from ref(A) form the column space of the matrix A.
(d) The corresponding column 1, 3, and 5 from the original matrix A form the column space of ref(A).



Homework Equations





The Attempt at a Solution


(a) and (b) are straight forward and hence, both are true. I think (c) is false. Not sure about (d) though.

For (c), I have a specific counter example. I have column space of ref(A) is something like {[1 0 0 0], [0 1 0 0], [0 0 1 0]}, whereas the column space of the original matrix A is {[1 3 2 -1], [-2 2 3 2], [3 1 2 4]}. Notice that the 4th entry for the space spanned by ref(A) will always be 0, but it's possible to have a non-zero value for the space spanned by the column space, if the answers are taken from the original matrix A.
 
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When we say that "vectors a, b, and c form as subspace", we mean that they make span the space. Of course, there may be manysets of vectors that span the same subspace. The important fact here is that the column space of A and the coumn space of ref(A) are the same.
 

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