Proving Uniqueness of Solutions in Non-Linear Systems of Equations

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In summary: Is there a way to check if this is the only solution? I don't want to waste my time proving something that is already true.Yes, there is a way to check if this is the only solution. First, you can use Buchberger's algorithm to compute a Groebner basis for the system. If the basis is unique, then the equation you solved is the only solution.
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I found the solutions a = 2, b = 0, c = 0, d = 3 to this system of equations...

ab + c + d = 3
bc + d + a = 5
cd + a + b = 2
da + b + c = 6

But I don't know how to justify that those are the only solutions to this system, since it is non-linear. How can I prove that those are the only solutions? (Note: I'm not sure if those ARE the only solutions -- I just can't find any more.)

Thanks.
 
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FeDeX_LaTeX said:
I found the solutions a = 2, b = 0, c = 0, d = 3 to this system of equations...

ab + c + d = 3
bc + d + a = 5
cd + a + b = 2
da + b + c = 6

But I don't know how to justify that those are the only solutions to this system, since it is non-linear. How can I prove that those are the only solutions? (Note: I'm not sure if those ARE the only solutions -- I just can't find any more.)

Thanks.

The solution is unique, and you have found it. However, justifying this involves tools way beyond pre-calculus algebra. In particular, I used the Groebner package in Maple 11 to compute a Groebner basis of the system, and here is what I got:
with(Groebner):
G:={a*b+c+d-3,b*c+d+a-5,c*d+a+b-2,d*a+b+c-6}; <--- these should = 0 at your solution
B:=Basis(G,tdeg(a,b,c,d));
B := [d - 3, c, b, a - 2] <--- this system is equivalent to G

In words: the elements of B are a basis for the ideal generated by G; that is, any multivariate polynomial of the form P = A(a,b,c,d)*(a*b+c+d-3) + B(a,b,c,d)*(b*c+d+a-5) + etc, with multivariate polynomial coefficients A, B, ... can be written as a linear combination of (d-3), c, b and (a-2), also with multivariate polynomial coefficients. So, if all elements of G = 0 (which is your system of equations) then each element of B is also zero, and vice-versa. Therefore, your equations necessarily imply d-3=0, c=0, b=0, a-2=0.

Note: Maple (or Mathematica, for example) use Buchberger's Algorithm to compute a Groebner basis.

RGV
 
  • #3
Thanks for the reply and confirming that this is the only solution. This particular problem was taken from the British Mathematical Olympiad, Round 1 (2003). Is this the only way to prove that this solution is unique? I won't have access to Maple/Mathematica in the exam, or a calculator. I've been told that if I find a solution, I have to make a convincing argument for why it is the only solution -- is it plausible to use Buchberger's algorithm by hand? (It is a 3 and a half hour paper with 6 questions.)

I just noticed that my solution is 2,0,0,3 -- the year the paper was taken from. Hmm, I did not notice that.
 

FAQ: Proving Uniqueness of Solutions in Non-Linear Systems of Equations

How do you prove that a solution is unique?

To prove that a solution is unique, you must show that there is only one possible solution for the given problem. This can be done by using different methods such as substitution, elimination, or graphing to show that there is only one set of values that satisfy the given equations or inequalities.

What is the importance of proving the uniqueness of a solution?

Proving the uniqueness of a solution is important because it ensures that the solution is reliable and accurate. It also helps to avoid any potential errors or misunderstandings in the problem solving process. Additionally, it provides a solid foundation for further analysis and applications of the solution.

Can a solution be proven to be unique for all types of problems?

No, a solution cannot be proven to be unique for all types of problems. Some problems may have multiple solutions or no solutions at all. It is important to carefully consider the problem and its constraints before attempting to prove the uniqueness of a solution.

What are some common techniques used to prove the uniqueness of solutions?

Some common techniques used to prove the uniqueness of solutions include direct proof, proof by contradiction, and proof by induction. These methods involve logical reasoning and mathematical principles to show that a solution is the only possible outcome for a given problem.

How can you tell if a solution is unique or not?

If a problem has only one solution or a finite number of solutions, it can be proven that the solution is unique. However, if a problem has an infinite number of solutions, it cannot be proven that one specific solution is unique. In this case, it is important to clearly define the problem and its constraints to determine if a solution is unique or not.

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