Can dsolve of Matlab 2019a solve the following system of differential equations (BVP): With the following BC: (T= 60) I tried to insert it like this: xlambdasol = dsolve(eqns, cond) with eqns and cond being the above specified expressions but I get the output: Warning: Unable to find explicit solution. > In dsolve (line 201) In inner_minimization_problem_mfile (line 294) So I guess it can not. Why is that? What is the method used in dsolve?

Dsolve for two point boundary value problem

Torsten 2019-6-25

编辑：Torsten 2019-6-25

Use bvp4c instead of dsolve.

Your problem is much too difficult to be solved analytically.

By the way: what is "e" in your equations ?

Hendrik Lorenz 2019-6-25

I did infact do that.

Do you know a way to specify inequality constraints along the trajectory of the state variable (x_i) with bvp4c?

Because I obtain a solution but with complex values because of sqrt(x_i) so I want to constrain the solution to:

x_i >= 0

Torsten 2019-6-25

编辑：Torsten 2019-6-25

You have 12 ODEs in 12 unknowns with 12 boundary conditions. This should give a unique solution. So you can't put constraints on it.

What you could try is to evaluate sqrt(x1-x2), sqrt(x2-x3) and sqrt(xi) as sqrt(abs(x1-x2)), sqrt(abs(x2-x3)) and sqrt(abs(xi)) and check whether your final solution satisfies x1 >= x2, x2 >= x3 and xi >= 0.

Bjorn Gustavsson 2019-6-25

Torsten, aren't the ODEs nonlinear enough to potentially have multiple solutions?

Torsten 2019-6-25

Maybe, but how to sort out complex solutions in a way different from what I suggested ?

My guess is that they have no physical meaning for the problem at hand.

Hendrik Lorenz 2019-6-26

编辑：Hendrik Lorenz 2019-6-26

在 MATLAB Online 中打开

Torsten, you are absolutely right of course I forgot to include the constraints in the original problem from which I derived this BVP.

So I tried to solve the BVP numerically but I get the error message

Error using bvp4c (line 251)
Unable to solve the collocation equations -- a singular Jacobian encountered.
Error in bvp_solution (line 8)
sol4c = bvp4c(@bvpfcn, @bcfcn, solinit, opts);

Though I made sure that my Jacobians are allright with a case distinction. Furthermore I am actually checking if the Jacobian is singular by calculating the conditioning number like this

cond(dfdt)
det(dfdt)

with dfdt being the jacobian of the system dynamics. The conditioning number is at 1.9161e+05. The determinant at -0.0705. Is that singular already?

I went a bit into bvp4c.m and saw that the error is raised due to

      if any(wt == 0) || ~all(isfinite(nonzeros(dPHIdy)))
        singularJacobian = true;
      else
         
          

Where any(wt == 0) evaluates to true.

I am missing the understanding of what this means? Can you help me further here?

Stephan 2019-6-27

Did you try using bvp5c?

Hendrik Lorenz 2019-6-28

在 MATLAB Online 中打开

Yes I did and it is giving a solution now. There was still something wrong in my BCs.

Little follow up question:

I looked at this tutorial about multipoint BVP: https://de.mathworks.com/help/matlab/math/solve-bvp-with-multiple-boundary-conditions.html

And tried to apply it to my case setting as "internal" boundaries the points where my functions are discontinuous (where the discontinuity depends on the states (dependent variables) of my equations). And there is the problem already, my states are not the independent variable of the problem. The time t is my independent variable. So I cannot really treat those equations as a multipoint BVP since I can not state the time (independent variable) at which the discontinuouties (= region boundary) will appear?

Is that right or is there another way?

Paragraph of the tutorial I am referring to:

Form Initial Guess

For multipoint BVPs, the boundary conditions are automatically applied at the beginning and end of the interval of integration. However, you must specify double entries in xmesh for the other interface points. A simple guess that satisfies the boundary conditions is the constant guess y = [1; 1].

xc = 1;
xmesh = [0 0.25 0.5 0.75 xc xc 1.25 1.5 1.75 2];
yinit = [1; 1];
sol = bvpinit(xmesh,yinit);

Torsten 2019-6-28

If you implement a shooting method (e.g. by combining "ode45" for the forward integration and "fsolve" to adjust the missing boundary conditions at t=0), you could use the "event" facility of the ODE solvers to interrupt integration when a state-dependent discontinuity appears.

When you use "bvp4c", this is not possible since you solve the complete problem on a predefined t-mesh. The only thing you could try is using "if"-statements to handle the discontinuities.

Dsolve for two point boundary value problem

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