Matlab limitation in fsolve using function input

Hello,
I tried to loop for time value (T) inside my fsolve, but fsolve is pretty unforgiving.
The time loop does not seem working.
When I plot, it gives the same values (h=x(1) and theta=x(2) does not change over time which should change)!
Please see the the script that uses for loop for time (T). T is input for fsolve. :
x0 = [.1, .1];
options = optimoptions('fsolve','Display','iter');
dt=0.01;
Nt=1/dt+1;
Tarray = [0:dt:1];
T = 0;
for nt=1:Nt
[x,fval] = fsolve(@torder1,x0,options,T)
T=T+dt;
h(nt)=x(1);
theta(nt) = x(2);
plot(Tarray,h,'*')
hold on
plot(Tarray,theta,'+')
end
and the function for fsolve:
function F=torder1(x,T)
x_1=[0:0.01:1];
b=0.6;
%$ sol(1) = h; sol(2) =theta;
clear x_1;
syms x_1 h theta kappa
f_1(x_1,h,theta,kappa) = 1/2*(1-( (h+(1-b)*theta)^2/(h+(x_1-b)*theta-kappa*x_1*(1-x_1))^2 ));
f_2(x_1,h,theta,kappa) = (x_1-b)/2*( 1-( (h+(1-b)*theta)^2/(h+(x_1-b)*theta-kappa*x_1*(1-x_1))^2 ));
kappa =1;
f_11 = 1-( (h+(x_1-b)*theta)^2/(h+(x_1-b)*theta-1*x_1*(1-x_1))^2 );
f_21 = (x_1-b)/2*( 1-( (h+(1-b)*theta)^2/(h+(x_1-b)*theta-x_1*(1-x_1))^2 ));
fint_1 = int(f_11, x_1);
fint_2 = int(f_21, x_1);
x_1=1;
upper_1=subs(fint_1);
upper_2=subs(fint_2);
clear x_1;
x_1=0;
lower_1=subs(fint_1);
lower_2=subs(fint_2);
clear x_1;
integral_result_1old=upper_1-lower_1;
integral_result_2old=upper_2-lower_2;
h0 = kappa *b*(1-b);
theta0 = kappa*(1-2*b);
integral_result_1 = subs(integral_result_1old, {h, theta}, {x(1), x(2)});
integral_result_2 = subs(integral_result_2old, {h, theta}, {x(1), x(2)});
F = [double(x(1) - integral_result_1*T^2 -h0);
double(x(2) - integral_result_2*T^2 - theta0)];

 Akzeptierte Antwort

Walter Roberson
Walter Roberson am 22 Aug. 2016
Bearbeitet: Walter Roberson am 22 Aug. 2016
fsolve() is for real values, but solutions to your equations are strictly complex, except at T = 0.
You might be getting false results from fsolve(), with it either giving up or finding something that appears to come out within constraints.
For example, if you
fsolve(@(x) x^2+1, rand)
then you will get a small negative real-valued answer that MATLAB finds to be within the tolerances, when the right answer should be something close to sqrt(-1)

11 Kommentare

Meva
Meva am 23 Aug. 2016
Thanks Walter. Can I just omit the imaginary parts then continue looping then??
If it might give false results, how should I find a solution which method should I use? Thanks..
Meva
Meva am 23 Aug. 2016
Bearbeitet: Meva am 23 Aug. 2016
Is there any way more efficient than fsolve for complex cases like this one ? Thanks.
Solve for real and imaginary part of your solution separately.
E.g. if you want to solve
z^2+1=0,
solve
real(z^2+1) = x^2-y^2+1 = 0
imag(z^2+1) = 2*x*y = 0
for
z = x+1I*y
Best wishes
Torsten.
Meva
Meva am 23 Aug. 2016
Dear Torsten, I do not understand what you meant. I should repeat my query :
Is there any way for my system instead of FSOLVE?
Thanks ..
Torsten
Torsten am 23 Aug. 2016
No, do it in FSOLVE the way I showed you above.
Best wishes
Torsten.
Meva
Meva am 23 Aug. 2016
Ok. I will separate real and imaginary parts and then I will reunify them in a loop. Thanks.
You do not need to separate the real and imaginary parts. You can probably use vpasolve()
X = sym('x', [1,2]);
T = 1/100;
F = torder1(X,T);
sols = vpasolve(F, X);
sols.x1
sols.x2
Note: this will find at most one solution per vpasolve, and the solutions for adjacent T values will not necessarily be "close" to each other. For example if the function is more or less symmetric around 0 in one of the variables, then you might get either root for any one fsolve().
Meva
Meva am 25 Aug. 2016
Bearbeitet: Meva am 25 Aug. 2016
Dear Walter, I do appreciate your answer. However, if I tried your answer above in the command window, I get the following error:
DOUBLE cannot convert the input expression into a double array. If the input expression contains a symbolic variable, use VPA.
It does angry with double expressions in F.
But these double expressions are necessary to convert F symbolic function to a symbolic expression.
Meva
Meva am 25 Aug. 2016
Bearbeitet: Meva am 25 Aug. 2016
If I do omit double expression inside F function, and then type :
X = sym('x', [1,2]);
T = 1/100;
F = torder1(X,T);
sols = vpasolve(F, X);
sols.x1
sols.x2
This gives the following error :
CAT arguments dimensions are not consistent.
Alternatively, If I omit double expression inside F function, and then type :
X = sym('x', [1,2]);
T = 1/100;
F = torder1(X,T);
sols = vpa(F);
sols.x1
sols.x2
It still gives the CAT error as above.
So I conclude that there is a conflict between prescribing your function arguments in the type of double, and VPA and/or vpasolve.
I sleep. I have drive failures. I have network failures. I have appointments.
Meva
Meva am 31 Aug. 2016
A sincere apologise Walter. Sorry.

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Weitere Antworten (1)

Alan Weiss
Alan Weiss am 22 Aug. 2016
I think that you need to replace your line
[x,fval] = fsolve(@torder1,x0,options,T)
with
[x,fval] = fsolve(@(x)torder1(x,T),x0,options)
Alan Weiss
MATLAB mathematical toolbox documentation

3 Kommentare

Nope!
[x,fval] = fsolve(@torder1(x,T),x0,options)
is invalid MATLAB syntex.
John D'Errico
John D'Errico am 22 Aug. 2016
Bearbeitet: John D'Errico am 22 Aug. 2016
But that is not what Alan suggested. There is a difference between these lines:
[x,fval] = fsolve(@torder1(x,T),x0,options)
[x,fval] = fsolve(@(x)torder1(x,T),x0,options)
Alan suggested the second, but you then tried the first.
Meva
Meva am 22 Aug. 2016
You are right. However, it does give me again incorrect plot as attached. It does not understand my loop!

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