Why Does NDSolve in Mathematica Only Work with Machine Real Code?

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  • Thread starter crazybird
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In summary, it looks like Mathematica is trying to approximate the solution when there might not be enough boundary conditions.
  • #1
crazybird
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I am solving a PDE using NDSolve. It always give a message like:

"For the method`IDA, only machine real code is available. Unable to continue with complex values or beyond floating-point exceptions."

What does this mean? My code is as following.

NDSolve[{∂t S[z, t] == -I z S[z,t] -I A[z,t], ∂t A[z, t] == -I S[z,t] ,
S[z, 0] == 0, S[0, t] == -I t2 /2, A[z, 0] == 0, A[0, t] == t}, {S,A}, {t, 0, 1}, {z, 0, 1}, MaxSteps -> 10^6 ]

Any suggestions? Please Help!
 
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  • #2
This http://reference.wolfram.com/mathematica/tutorial/NDSolveIDAMethod.html indicates that one of the possible methods available for numerical solution of differential equations is the IDA method. Either someone didn't implement handling of PDE with complex values or it is not possible to implement handling of complex values. That is what the error message is telling you.

This http://reference.wolfram.com/mathematica/ref/NDSolve.html (when you click on the orange "More Information" box and scroll down until you find Method) shows you that you can explicitly tell it it what method to use. You might try giving NDSolve an option of Method->"Adams" or one of the other methods and see if one of those will sidestep IDA and happily accept complex values. I don't have your functions so I have not actually tested this.
 
  • #3
Bill: Those Method options are not available somehow. It is strange--the second link you provided says explicitly that "The differential equations in NDSolve can involve complex numbers. "
BTW, the above is the complete code. No additional functions are used. Although it is not the original equations I wanted to solve. I want to use this simple example to test NDSolve. Yet it doesn't work.
 
  • #4
When I put in your code:

Code:
NDSolve[{D[S[z, t], t] == -I z S[z, t] - I A[z, t], 
  D[ A[z, t], t] == -I S[z, t], S[z, 0] == 0, S[0, t] == -I t^2/2, 
  A[z, 0] == 0, A[0, t] == t}, {S, A}, {t, 0, 1}, {z, 0, 1}, 
 MaxSteps -> 10^6]
I get
During evaluation of In[8]:= NDSolve::pdord: Some of the functions have zero differential order so the equations will be solved as a system of differential-algebraic equations. >>

During evaluation of In[8]:= NDSolve::bcart: Warning: An insufficient number of boundary conditions have been specified for the direction of independent variable t. Artificial boundary effects may be present in the solution. >>

During evaluation of In[8]:= NDSolve::ivcon: The given initial conditions were not consistent with the differential-algebraic equations. NDSolve will attempt to correct the values. >>

During evaluation of In[8]:= NDSolve::mconly: For the method NDSolve`IDA, only machine real code is available. Unable to continue with complex values or beyond floating-point exceptions. >>

Out[8]= {}

BUT, though it shouldn't matter, if I change {S,A} to {S[z,t],A[z,t]}

Code:
NDSolve[{D[S[z, t], t] == -I z S[z, t] - I A[z, t], 
  D[ A[z, t], t] == -I S[z, t], S[z, 0] == 0, S[0, t] == -I t^2/2, 
  A[z, 0] == 0, A[0, t] == t}, {S[z, t], A[z, t]}, {t, 0, 1}, {z, 0, 
  1}, MaxSteps -> 10^6]

I get
{{S(z,t)->InterpolatingFunction[(0. 1.0. 1.),<>][t,z],A(z,t)->InterpolatingFunction[(0. 1. 0. 1.),<>][t,z]}}

Which I think is what you want, right? For some reason, if you include the dependent variables in the function specification it works, though I thought Mathematica didn't need it.
 
  • #5
Hepth: Yes it works! That's weird! Though I did not perform an analytic sln to check, but at the plot of the result looks well behaved. Thanks a lot!
 
  • #6
I don't think that's all quite right. For one thing, use lower-case letters for user-defined variable names. Also, I don't thing you're specifying enough boundary conditions so Mathematica is just inserting artificial ones. The boundary condtionss at the initial t=0 should agree. Also, looks like the solutions are just zero up there.

I would recommend giving boundary conditions on both sides (t=0 and t=1) and an initial conditions a(z,0)=f(z), s(z,0)=g(z). This is how I'd code it. I just inserted some reasonable boundary and initial conditions:

Code:
mysol=NDSolve[{D[s[z, t], t] == (-I)*z*s[z, t] - I*a[z, t], 
   D[a[z, t], t] == (-I)*s[z, t], 
 
   s[z, 0] == z*(z - 1), 
   s[0, t] == (-I)*(t^2/2), 
   s[1, t] == 0, 
   
  a[z, 0] == (-z)*(z - 1), 
  a[0, t] == t, 
  a[1, t] == t^2}, 
  {s, a}, {t, 0, 1}, {z, 0, 1}];

  Plot3D[Re[s[z,t]]/.mysol,{z,0,1},{t,0,1}]
 
  • #7
Jack: Thanks a lot for the suggestions! About the boundary conditions, I find that if I eliminate S[z, 0] == 0 then Mathematica will work. If I add it, and in addition do as Hepth suggested, it also works. Now in your reply, 6 conditions are specified. Is there any way to justify Mathematica's approximation when there could be a lack of boundary conditions? Because in some cases, it is not possible to know all the boundary conditions.
 
  • #8
I don't know how Mathematica determines default boundary conditions. However, seems to me if you don't have all the boundary conditions, then the system is ill-posed meaning the solution is not unique. But I'm practical: if you can get it to work to get an answer that you feel is correct then that's good enough for me. :)
 
  • #9
Jack, thank you for the help and comment!
 

What is Mathematica's NDSolve feature?

Mathematica's NDSolve is a function that allows users to numerically solve systems of differential equations, both ordinary and partial, with a wide range of options and methods.

What types of equations can be solved with NDSolve in Mathematica?

NDSolve can solve a variety of equations, including initial value problems, boundary value problems, and eigenvalue problems. It can also handle systems of coupled equations and parametric equations.

Can NDSolve handle systems of equations with time-dependent parameters?

Yes, NDSolve has the ability to solve systems of equations with time-dependent parameters. This can be useful for modeling dynamic systems or processes.

What are some of the options and methods available for NDSolve in Mathematica?

NDSolve offers a variety of options and methods for solving differential equations, including adaptive step sizes, stiffness detection, and event detection. Users can also choose from different numerical methods such as Runge-Kutta, Adams, and BDF.

Is NDSolve in Mathematica suitable for advanced mathematical computations?

Yes, NDSolve is a powerful tool for solving complex mathematical problems. It has been used in various fields such as physics, engineering, and economics for advanced simulations and analyses.

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