Does infinite solutions imply the row vectors are linearly dependent?

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Discussion Overview

The discussion revolves around the relationship between the number of solutions to a system of equations represented by a matrix and the linear dependence of its row vectors. Participants explore the implications of having more equations than unknowns in a 4x3 matrix, considering both overdetermined and underdetermined systems.

Discussion Character

  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • One participant states that a 4x3 matrix implies more equations than unknowns, suggesting there are no solutions to the system.
  • Another participant argues that the rows must be linearly dependent because there are four vectors in a three-dimensional space, but notes that this does not necessarily mean there are no solutions to Ax=b.
  • A later reply confirms the linear dependence of the rows and expresses gratitude for the clarification.
  • Another participant elaborates that while overdetermined systems are mostly inconsistent, they can be consistent and may have infinite solutions, contrasting this with underdetermined systems, which are mostly consistent and must have infinite solutions if consistent.
  • This participant concludes that infinite solutions imply linear dependence in overdetermined systems but not in underdetermined systems, providing an example of an underdetermined system with infinite solutions and independent row vectors.

Areas of Agreement / Disagreement

Participants generally agree that the row vectors of a 4x3 matrix are linearly dependent. However, there is disagreement regarding the implications of infinite solutions, particularly in underdetermined systems, which remains unresolved.

Contextual Notes

Participants discuss the conditions under which systems are consistent or inconsistent, and the implications for linear dependence, but do not resolve the nuances of these relationships fully.

mitch_1211
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if i have a 4x3 matrix, this means there are more equations than unknowns and so there are no solutions to the system.

does this mean that the row vectors are linearly dependent?
 
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The rows must be linearly dependent because they are four vectors living in a three-dimensional vector space. It doesn't necessarily mean there are no solutions to Ax=b (A the matrix, b a known 4x1 vector and x an unknown 3x1 vector) though: for example, the last two rows of A may be equal and the last two entries of b also equal, in which case it is reduced to 3 equations with 3 unknowns, which may or may not have a solution.
 
henry_m said:
The rows must be linearly dependent because they are four vectors living in a three-dimensional vector space.

Of course! I don't know why I didn't realize this straight away.

Thank you very much!
 
Your question is about overdetermined system(4x3 in your example). It is mostly inconsistent but it can be consistent(as stated in post 2). If consistent, it may even have infinite solution.

For underdetermined system, it is mostly consistent but it can be inconsistent. If consistent, it must have infinite solution.So, "Does infinite solutions imply the row vectors are linearly dependent?"
Ans: Yes for overdetermined system(4x3 in your example). No for underdetermined system,
e.g
x+y+z=2
x+y+2z=3

have infinite solutions but the row vectors are linearly independent.
 
Last edited:

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