System of linear equations: When are we guaranteed a unique solution?

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Discussion Overview

The discussion focuses on the conditions under which a system of linear equations has a unique solution. It explores the implications of the determinant of the coefficient matrix and the consistency of the system, considering both theoretical and practical aspects.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested

Main Points Raised

  • One participant questions whether a non-vanishing determinant of the coefficient matrix guarantees a unique solution, even when the number of equations equals the number of unknowns.
  • Another participant asserts that if the determinant is non-zero, the system can be solved uniquely using the inverse of the matrix.
  • A different perspective highlights that the presence of free variables indicates infinitely many solutions, particularly in infinite fields, and emphasizes the necessity of a square matrix for uniqueness.
  • One participant points out that the system must be consistent for a unique solution to exist, challenging the assumption that free variables alone determine the number of solutions.
  • Another participant references the Kronecker-Capelli theorem, stating that a solution exists if and only if the rank of the coefficient matrix equals the rank of the augmented matrix.

Areas of Agreement / Disagreement

Participants express differing views on the conditions for uniqueness and the implications of free variables, indicating that the discussion remains unresolved with multiple competing perspectives.

Contextual Notes

Participants note limitations regarding the assumptions about the field of coefficients and the consistency of the system, which affect the conclusions drawn about the existence and uniqueness of solutions.

kent davidge
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I was reading about systems of linear equations. Even if we have the same number of unknowns and equations, we may still have infinitely many or no solutions. But if in addition to that the determinant of the matrix of coefficients does not vanish, then does it necessarily imply that we have a unique solution?

Surprisingly or not, I haven't found an answer to the above question.
 
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https://ocw.mit.edu/courses/mathematics/18-02sc-multivariable-calculus-fall-2010/1.-vectors-and-matrices/part-b-matrices-and-systems-of-equations/session-14-solutions-to-square-systems/MIT18_02SC_MNotes_m3.pdf
 
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For the system Ax = b with A\in\mathrm{Mat}_{m, n}(K), there are n-\mathrm{rank}(A) free variables. If K=\mathbb R (or any other infinite field), then having at least one variable free means there are infinitely many solutions. Also, a solution can be unique only if the matrix A is a square matrix (i.e only if number of variables = number of equations).

Of course, if the underlying field is finite, there can't be infinitely many solutions. That's something a lot of my students get wrong. They remember from school that if number of eqs is smaller than number of variables, then there are automatically infinitely many solutions. Not necessarily.
 
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This is a nice answer, but I think you are thinking of the case b = the zero vector. I.e. probably you need to assume also the system is consistent. As you stated it, it seems, even with an infinite field and some free variables, if b ≠ zero, you only get either infinitely many, or no solutions. E.g. you could have the system x+y = 0, and x+y = 1, where the rank of the 2x2 matrix A is one, hence there is one free variable, but there is no solution at all, since the vector (0,1) does not lie in the image {(t,t): all t in K}, of the linear transformation.
 
Good point. The system Ax=b has a solution if and only if \mathrm{rank}(A) = \mathrm{rank}(A|b) by Kronecker-Capelli.
 

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