Matlab limitation in fsolve using function input

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Meva
Meva el 22 de Ag. de 2016
Comentada: Meva el 31 de Ag. de 2016
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)];

Respuesta aceptada

Walter Roberson
Walter Roberson el 22 de Ag. de 2016
Editada: Walter Roberson el 22 de Ag. de 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 comentarios
Walter Roberson
Walter Roberson el 27 de Ag. de 2016
I sleep. I have drive failures. I have network failures. I have appointments.
Meva
Meva el 31 de Ag. de 2016
A sincere apologise Walter. Sorry.

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Más respuestas (1)

Alan Weiss
Alan Weiss el 22 de Ag. de 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 comentarios
John D'Errico
John D'Errico el 22 de Ag. de 2016
Editada: John D'Errico el 22 de Ag. de 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 el 22 de Ag. de 2016
You are right. However, it does give me again incorrect plot as attached. It does not understand my loop!

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