What kind of problem is this and what tools can we use to tackle it?

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The discussion revolves around a system of equations involving constants A, B, and C, where the user seeks to solve for variables a, b, c, and d. The system can be transformed into a quadratic equation, but it is noted that there are not enough equations to uniquely determine all variables, leading to potential numerical methods for finding solutions. MATLAB is mentioned as a tool used to derive two sets of solutions, indicating the complexity of the problem. The user expresses a preference for linear algebra approaches and seeks more streamlined algorithms for solving higher-degree polynomial systems, particularly one involving ten variables. The conversation highlights the challenges of variable multiplicity and the need for effective computational methods in solving such systems.
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Basically I have the following system:

ac = A

ad + bc = B

bd = C


where A, B, and C are constants.

Solving for a, b, c, and d, what kind of problem/system am I encountering and what appropriate tools (vectors and/or numerical methods perhaps[?]) would help to find the set of solutions for a, b, c, and d?

I know that the system factors a trinomial but I don't know what kind of problem is presented by the system itself.

Thanks in advance for any insight.
 
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Inserting the first and third equation into the second gives you a quadratic equation (altghough for a product of two unknowns).
You will still end up with one unknown variable as you do not have enough equations.
 
betel said:
You will still end up with one unknown variable as you do not have enough equations.

Could there still be numerical methods for finding the solutions?

Thanks for your reply.
 
My messing around on MATLAB. Not sure how useful it is...

Code:
EDU>> syms a b c A B C
EDU>> sol = solve('a*c = A','a*d + b*c = B','b*d = C');
EDU>> [a;sol.b(1);sol.c(1);sol.d(1)]
ans =
                                 a
 a*(1/2*B-1/2*(B^2-4*A*C)^(1/2))/A
                               A/a
   (1/2*B+1/2*(B^2-4*A*C)^(1/2))/a
EDU>> [a;sol.b(2);sol.c(2);sol.d(2)]
ans =
                                 a
 a*(1/2*B+1/2*(B^2-4*A*C)^(1/2))/A
                               A/a
   (1/2*B-1/2*(B^2-4*A*C)^(1/2))/a

I guess that's two sets of solutions?

edit - I generally prefer linear algebra to sets of equations where variables are multiplied. It's kind of a nightmare actually - I can see a uniqueness/existence problem if a = 0 right away, or B^2-4*A*C < 0? What a mess...
 
Last edited:
I recommend substituting the top and bottom into the middle.
Cx+\frac{A}{x}=B
(where x=\frac{a}{b}) and solve for x.

The variable b is arbitrary (but not equal 0) and a=xb
Use top and bottom equation to find rest.

EDIT: just as bebel said :D
 
Thanks for the output MikeyW, your MATLAB solution looks consistent with what I have found. I have found that the system can be simplified to a function of b, c, and the constants. Letting one of the variables assume any value, I can solve for the other with the quadratic formula or Newtons method, and then find the other two variables.

After simplifying:

<br /> {b^2}{c^2} - Bbc + AC = 0<br />

<br /> a =\frac{A}{c}<br />

<br /> d = \frac{C}{b}<br />

I don't know if this would necessarily work for higher degree polynomials (especially an odd number of variables), and wonder if there is a solution using vectors/linear algebra. My linear algebra knowledge is still elementary and haven't had to encounter multiple variables before so I don't know if there are tools that can help.
 
A little more complex would be the following system which factors a quintic when a, b, c, d, e, f, g, h, i and j are solved for with A, B, C, D, E, and F being constants.


acegi = A

acegj + acehi + acfgi + egadi + egbci = B

acehj + acfgj + egadj + egbcj + acfhi + adehi + adfgi + bcehi + bcfgi + bdegi = C

acfhj + adehj + bcehj + bcfgj + bdegj + adfhi + bcfhi + ehbdi + fgbdi + adfgj = D

adfhj + bcfhj + ehbdj + fgbdj + bdfhi = E

bdfhj = F


Is there any way to solve for the above ten variables with a method more streamlined than the "plug and chug" method used previously for the quadratic?

*I am not as interested in any solution as I am in any algorithm ("plug and chug" or other)

Thanks again for any info. It is greatly appreciated.
 
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