Solution x spanning columns of A

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Discussion Overview

The discussion revolves around the relationship between a solution vector x and the columns of a matrix A in the context of the equation Ax=0. Participants explore the implications of x being in the span of the columns of A and the definitions of null space and column space.

Discussion Character

  • Technical explanation
  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • One participant questions whether a solution vector x, specifically x=<-3,4,8>, can be considered in the span of the columns of A when it satisfies Ax=0.
  • Another participant clarifies that for a matrix A of size m by n, the vector x must belong to Rn, while the columns of A span a subspace of Rm, suggesting that x itself is not in the column space.
  • A third participant notes that solutions to Ax=0 are related to the null space of A, indicating a distinction between null space and column space.
  • A later reply emphasizes that all solutions of Ax=0 belong to the domain of A (U), while the columns of A belong to the codomain (V), reinforcing the separation between the two spaces.

Areas of Agreement / Disagreement

Participants generally agree on the distinction between the null space and column space, but there is no consensus on the implications of x being a solution to Ax=0 in relation to the span of the columns of A.

Contextual Notes

There are limitations regarding the definitions of vector spaces and the implications of the dimensions of A, which may affect the understanding of the relationship between x and the columns of A.

fackert
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This is a really odd question to me. Usually we talk about b (in Ax=b) spanning the columns of A but here its talking about x spanning A.

If x=<-3,4,8> (this is a vertical 3x1 matrix) is a solution to Ax=0, then is x in the set spanned by the columns of A?

I'm pretty sure it is no, but i can't explain why? (briefly). And i don't know how to change the statement so it would be true.
 
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One obvious point- if A is an m by n matrix (m rows, n columns), then A maps an Rn to Rm. In order that we be able to multiply A times x, x must have n rows and so must be in Rn. But the columns each have m elements, one for each of the n rows, and so span a subspace of Rm. Members of the "column space" are vectors in the image of A, vectors of the form y= Ax for some x, not x itself.
 
Actually if its a solution to the matrix equation Ax=0 that's considered a nullspace.
 
Thanks, Halo31. fackert, if A maps vector space U to a subspace of vector Space V, then all solutions of Ax= 0, the "null space" of A, are in U. The columns of A, thought of as vectors (the "column space" of A), are in V. Of course, any x that A can be applied to must be in U, not V.
 

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