Solving 4 linear equations with five unknown variables?

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Discussion Overview

The discussion revolves around strategies for solving a system of four linear equations with five unknown variables. Participants explore the implications of having more unknowns than equations, the concept of spanning a subspace, and the conditions under which a basis can be found for a given set of vectors.

Discussion Character

  • Exploratory
  • Technical explanation
  • Conceptual clarification
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • Some participants suggest that with four equations and five unknowns, one cannot find a unique solution but can express some variables in terms of others.
  • Others propose that selecting a specific value for one unknown allows for solving the remaining equations for the other variables.
  • A participant questions the conditions under which a set of vectors spans R^4 and whether a basis can still be found if the set does not span the entire space.
  • Another participant provides an example of a set of vectors that does not span R^4 and discusses how to identify a basis from such a set.
  • There is mention of using row reduction to analyze the span of a set of vectors and determine the basis for the subspace.

Areas of Agreement / Disagreement

Participants generally agree that having more unknowns than equations leads to a situation where unique solutions cannot be found. However, there are competing views on the implications of this for spanning and finding bases, with some participants asserting that a basis can still be identified even if the set does not span R^4.

Contextual Notes

Some statements rely on specific assumptions about the properties of the vectors and the nature of the equations, which may not be universally applicable. The discussion includes unresolved mathematical steps related to the row reduction process and the criteria for spanning.

Who May Find This Useful

This discussion may be useful for students and practitioners in mathematics, particularly those interested in linear algebra, vector spaces, and systems of equations.

franz32
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I hope some can help me here.

What is the best strategy in solving 4 linear equations with five unknown variables?
 
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Well, of course, you cannot "solve" four equations in five unknowns. What you can do is select any specific value for one of the five unknowns and then solve the four equations for the other four.

Equivalently, you could solve for four of the unknowns "in terms of the fifth". That is, you treat one of the unknowns as if it were a constant and solving for the other four so that you have something of the form:
a= a function of e, b= a function of e, c= a function of e, d= a function of e, where a, b, c, d, e are the five unknowns.


Now you could choose any value you like for e and calculate the other four. Whether it is best to solve the four linear equations by substitution or Gaussian elimination depends on the particular equations.
 
General Rule

No. of Unknown = No. of Equation

If above is not true u will end up in finding relation

As Halls has already told u about the relation
 
Can anyone help me again

Hello guys! I did understand what you are talking about. =)
But not that really understand fully. I tell you what I don't
understand.

Let say D = {v1, v2, v3, v4, v5} where v1 = (1, 1, 0, -1); v2 = (0, 1, 2, 1); v3 = (1, 0, 1, -1); v4 = (1, 1, -6, -3) and v5 = (-1, -5, 1, 0). In order for me to find a basis for the subspace W = Span D of R^4, I must show that D spans R^4 right? If this fails, then, can I still find a basis for it?

(a,b,c,d) = k1v1 + k2v2+ k3v3 + k4v4 + k5v5. When I made an
augmented matrix out of it, I reached ... " 0 0 0 0 | b + c -3d - 4a.
What does it mean?

When do I know if a subspace does not span?
 


Originally posted by franz32
Hello guys! I did understand what you are talking about. =)
But not that really understand fully. I tell you what I don't
understand.

Let say D = {v1, v2, v3, v4, v5} where v1 = (1, 1, 0, -1); v2 = (0, 1, 2, 1); v3 = (1, 0, 1, -1); v4 = (1, 1, -6, -3) and v5 = (-1, -5, 1, 0). In order for me to find a basis for the subspace W = Span D of R^4, I must show that D spans R^4 right? If this fails, then, can I still find a basis for it?

(a,b,c,d) = k1v1 + k2v2+ k3v3 + k4v4 + k5v5. When I made an
augmented matrix out of it, I reached ... " 0 0 0 0 | b + c -3d - 4a.
What does it mean?

When do I know if a subspace does not span?

No, in order to find a basis for subspace W= Span D, you do NOT need to show that D spans R^4.
Suppose v1= (1, 1, 0, -1), v2= (2, 2, 0, -2), v3= (3, 3, 0, -3), v4= (4, 4, 0, -4) and v5= (5, 5, 0, -5). D certainly does NOT span R^4. W= Span D is the set of all vectors of the form (a, a, 0, -a) where a is any real number. That is one-dimensional and has anyone of the vectors given as basis: {v1} will do nicely.

In the example you give, I would set this up as a matrix having each of those vectors as row and "row-reduce" I get 4 non-zero rows (the last row all zeroes) so, yes, the example you give does span all of R^4 and a perfectly good basis is {(1,0,0,0),(0,1,0,0),(0,0,1,0),(0,0,0,1)}.

If I did that with the example I gave, I would see all rows except the first become all zeroes and would know that that first row constituted the basis.
 

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