Consisity of non-homogenous systems of linear equations

Click For Summary

Discussion Overview

The discussion centers on determining the consistency of non-homogenous systems of linear equations without applying traditional methods such as Gaussian elimination or calculating determinants. Participants explore whether it is possible to ascertain the existence of solutions based solely on the values and number of equations and unknowns.

Discussion Character

  • Debate/contested
  • Technical explanation
  • Mathematical reasoning

Main Points Raised

  • One participant questions if it is feasible to determine the nature of solutions (single, infinite, or none) without applying any formal methods, suggesting that the number of equations relative to unknowns provides some insight.
  • Another participant clarifies that while fewer equations than unknowns imply no unique solution, having an equal or greater number of equations than unknowns allows for various outcomes depending on the determinant of the coefficient matrix.
  • A participant cites a rule regarding determinants: if the determinant is non-zero, a unique solution exists; if zero, there may be no solutions or infinitely many solutions, but this does not definitively classify the system.
  • One participant suggests that examining the augmented matrix could help determine the nature of solutions without fully solving the system, noting the importance of the entries in the last column.
  • Another participant points out that determinants cannot be used for non-square systems, advocating for row-reducing the augmented matrix to reach reduced row echelon form (RREF) as a more reliable method.

Areas of Agreement / Disagreement

Participants express differing views on the feasibility of determining solution types without formal methods. There is no consensus on a definitive approach, and multiple competing perspectives on the use of determinants and row reduction are presented.

Contextual Notes

Participants highlight limitations regarding the applicability of determinants in non-square systems and the ambiguity in determining solutions without computation. The discussion reflects varying assumptions about the nature of the systems being analyzed.

Este
Messages
7
Reaction score
0
Consistency of non-homogenous systems of linear equations

Hello,

Is it possible to find out if a non-homogenous system of linear equations has:
- Single Solution.
or
- Infinite Solutions.
or
- No Solutions.
Without applying any methods/rules ( Such as Gauss, determinant..etc), just judging by the values and number of given equations and unknowns?

Thanks for your time.
 
Last edited:
Physics news on Phys.org
I'm not sure what you mean by "judging by the values" etc. All of the methods you want to "not apply" do just that. If you mean "just by looking at the values (of the coefficients?) and number of given equations and unknowns" without doing any computation at all, then, except for the obvious: if there are fewer equations than unknowns, there cannot be a unique solution (but can be no solution or an infinite number of solutions) but if you had the same number of equations and unknowns or more equations than unknowns, no solution, a unique solution, or an infinite number of solutions are all possible depending on the determinant of coefficients.
 
Well, you I meant the values of the coefficients. To be more clear, the question was I encountered was:
Without solving, determine which of the following linear systems have a solution or not"
...list of systems goes here..

I guess I'm allowed to calculate the determinant after all as it doesn't solve the system by itself..

Well, I read this on an online preview of some book:
Nonhomogeneous system:
(a) If det(A) [tex]\neq[/tex] 0, a unique solution exists.
(b) If det(A) = 0, either no solutions exists or infinitely many solution exist.

So even the determinant of the matrix doesn't classify the system into either: Has solution or Has no solution. Is their is such a rule/method that can do that without solving the system?

Thanks for your response and I apologize for the ambiguity.
 
Yes you can determine whether or not a system of equations has a solution or not by looking at the determinant which is NOT "solving the equation".

But be careful if Ax= b, and A is a coefficient matrix having zero determinant, you know the system cannot have a unique solution. But whether the system has no solution or an infinite number of solutions depends on b as well as A. I think the simplest way to answer such a question would be to row-reduce the augmented matrix (coefficient matrix A with b as an added column) to upper triangular form (all 0's under the main diagonal). If you have no "all zero" rows, you know Ax= b has a unique solution no matter what b is. If A reduces to some "all zero" rows, there will be an infinite number of solutions if all the "b" entries in those rows also become 0, no solution if any of those "b" entries are not 0.

That is not completely "solving" the system since you don't clear the upper triangle.
 
Thanks a lot HallsofIvy! You've been very helpful. See you in another question :))
 
You mentioned the word 'determinant", if the system is NOT square, you cannot talk about determinant hence you can't use the determinant rule to determine if a solution exits. The best (perhaps only) scheme is to reduce the system [A|b] to RREF.
 

Similar threads

  • · Replies 26 ·
Replies
26
Views
5K
  • · Replies 5 ·
Replies
5
Views
2K
  • · Replies 10 ·
Replies
10
Views
3K
  • · Replies 19 ·
Replies
19
Views
4K
  • · Replies 5 ·
Replies
5
Views
2K
  • · Replies 29 ·
Replies
29
Views
3K
  • · Replies 11 ·
Replies
11
Views
2K
  • · Replies 3 ·
Replies
3
Views
1K
  • · Replies 9 ·
Replies
9
Views
3K
  • · Replies 30 ·
2
Replies
30
Views
2K