Solving a system of Non-linear Equations with Complex numbers

조회 수: 41(최근 30일)
Hi all,
I would like to solve the following system of 3 non-linear equations in 3 unknowns :
function F= myfun(x)
F=[ x(1) + x(2) - 10000;
x(1)*exp(-1i*x(3)*5) + x(2)*exp(1i*x(3)*5) - 12000;
x(1)*exp(-1i*x(3)*10) + x(2)*exp(1i*x(3)*10) - 8000 ];
The fsolve command does not solve complex number roots. And splitting it up into real and imaginary also does not seem to work (I took the help of Euler's formulae to convert to cosine and sine).
Please help me out!

답변(4개)

John D'Errico
John D'Errico 2017년 4월 6일
편집: John D'Errico 2017년 4월 6일
It appears there are two solutions. They are best found using solve, so a symbolic solution.
syms x1 x2 x3
eq1 = x1 + x2 - 10000;
eq2 = x1*exp(-1i*x3*5) + x2*exp(1i*x3*5) - 12000;
eq3 = x1*exp(-1i*x3*10) + x2*exp(1i*x3*10) - 8000;
result = solve(eq1,eq2,eq3,x1,x2,x3)
result =
struct with fields:
x1: [2×1 sym]
x2: [2×1 sym]
x3: [2×1 sym]
result.x1
ans =
5000 - (7^(1/2)*9000i)/7
(7^(1/2)*9000i)/7 + 5000
result.x2
ans =
(7^(1/2)*9000i)/7 + 5000
5000 - (7^(1/2)*9000i)/7
result.x3
ans =
-(log(3/4 - (7^(1/2)*1i)/4)*1i)/5
-(log((7^(1/2)*1i)/4 + 3/4)*1i)/5
vpa(result.x1)
ans =
5000.0 - 3401.6802570830450449306488261076i
5000.0 + 3401.6802570830450449306488261076i
vpa(result.x2)
ans =
5000.0 + 3401.6802570830450449306488261076i
5000.0 - 3401.6802570830450449306488261076i
vpa(result.x3)
ans =
-0.14454684956268312223567547052827
0.14454684956268312223567547052827
As you can see by simple tests to verify this is a solution...
result.x1 + result.x2
ans =
10000
10000
vpa(result.x1.*exp(-1i*result.x3*5) + result.x2.*exp(1i*result.x3*5) - 12000)
ans =
0
0

Star Strider
Star Strider 2014년 7월 1일
‘The fsolve command does not solve complex number roots.’
It does for me!
Your function (as an anonymous function):
myfun = @(x) [ x(1) + x(2) - 10000;
x(1)*exp(-1i*x(3)*5) + x(2)*exp(1i*x(3)*5) - 12000;
x(1)*exp(-1i*x(3)*10) + x(2)*exp(1i*x(3)*10) - 8000 ];
X = fsolve(myfun, [1; 1; 1])
produced:
X =
2.3160e+000 - 33.3155e-003i
2.3160e+000 + 33.3155e-003i
1.2720e+000 + i
It wanted me to let it do more function evaluations, but I’ll leave that to you. (I’m running R2014a, but I doubt that makes a difference.)
  댓글 수: 2
John D'Errico
John D'Errico 2017년 4월 6일
편집: John D'Errico 2017년 4월 6일
Sorry. lsqnonlin will definitely not work happily with complex variables, which explains your failure to get it working.
Hmm. I did just notice that the solution Star proposed does not actually solve the system of equations. For example, the sum x(1)+x(2) does not yield 10000. In fact, that sum is not even close to 10000. So I'm not too sure that fsolve is terribly happy at solving complex problems either.

댓글을 달려면 로그인하십시오.


Alex Sha
Alex Sha 2022년 11월 18일
There are much more solutions else:
x1: 5000+3401.68025708298i
x2: 5000-3401.68025708301i
x3: -3.62536433474507+0i
x1: 5000+3401.68025708298i
x2: 5000-3401.68025708301i
x3: 1.11209021187323+0i
x1: 5000+3401.68025708298i
x2: 5000-3401.68025708301i
x3: 2.36872727330915+0i

David Goodmanson
David Goodmanson 2022년 11월 18일
편집: David Goodmanson 2022년 11월 18일
Hellol Aravindhan,
not solved by Matlab, but a bit of algebra shows that
with
x(1) = 2000*a
x(2) = 2000*b
x(3) = theta/5
then
theta = acos(3/4);
a = (5/2 +9*i/(2*sqrt(7)));
b = (5/2 -9*i/(2*sqrt(7)));
format long g
theta = acos(3/4)
x = [2000*a 2000*b theta/5]'
theta = 0.722734247813416
x = 5000 - 3401.68025708305i
5000 + 3401.68025708305i
0.144546849562683 + 0i
There are an infinite number of solutions to theta = acos(3/4). First of all there is the 2pi ambiguity, so theta = .7227 + 2*pi*n is a set of solutions. Then the negative angle, -.7227 (with its 2pi ambiguity) is a set of solutions as well. But note that the equations are symmetric under theta --> -theta, a<-->b
so the -.7227 set is the same thing with a and b swapped. Consequently there are only two possibilities for a and b.

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by