Solving pde with gaussian function

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    Function Gaussian Pde
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Discussion Overview

The discussion revolves around the challenges of solving a partial differential equation (PDE) related to an ecological model. Participants explore the potential for analytical solutions, simplifications, and the implications of specific constants within the equation.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • One participant questions whether the PDE is analytically solvable and seeks guidance on steps or references to approach the problem.
  • Another participant suggests a simplification involving the delta function, indicating that if y is enforced to equal 1, it may lead to a different analytical pathway, but expresses doubt about finding an analytic solution due to the complexity introduced by y in the delta function.
  • A clarification is made that the symbol \delta refers to a constant decay rate rather than the delta function, which shifts the discussion on the potential for analytical solutions.
  • Following the clarification, a participant acknowledges that the change in interpretation could allow for an analytical solution, but notes the non-linearity and mixed partial derivatives complicate the matter.
  • Another participant proposes a change of variables to eliminate the mixed derivative, suggesting that this could lead to a more standard form of the equation, while still expressing uncertainty about solving the nonlinear term.
  • It is mentioned that even if an analytical solution is found, it may involve complex integrals, such as those related to the error function.

Areas of Agreement / Disagreement

Participants do not reach a consensus on the solvability of the PDE. There are multiple competing views regarding the potential for analytical solutions and the implications of the constants involved.

Contextual Notes

The discussion highlights the complexity of the PDE due to its non-linearity and mixed derivatives, as well as the ambiguity surrounding the interpretation of the symbol \delta. The presence of integrals over the Gaussian function is noted as a potential complication in finding solutions.

nigels
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I just developed this model to describe an ecological process but have trouble solving the equation. My first question is: is the form even analytically solvable? And if so, what steps / references should I resort to? 'a', 'delta' and 'sigma' are all constants.

*Current reference book: Haberman (2003)
 

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I'm not sure if it's analytically solvable, but one simplification you can make is to note that y(x,t)\delta(1-y(x,t)) = \delta(1-y(x,t)), as the delta function enforces y = 1, so for anything multiplying the delta function that has y in it you can set y to 1.

The fact that you have y inside the delta function does not give me any confidence that you can find an analytic solution to this. I would consider making some sort of approximation that gets you the same qualitative behavior but isn't quite as complicated. (You may still be forced to solve it numerically, however).
 
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Sorry, \delta here doesn't refer to the delta function but instead just a constant (decay rate of short-term memory). Would that make things quite different?
 
Ah, yes, that makes things very different. Sorry I missed that \delta is a constant and not the delta function.

In that case, you might be able to find an analytical solution, but it's still hard because the equation is non-linear (and has a mixed partial derivative):

\frac{\partial}{\partial x}\frac{\partial y(x,t)}{\partial t} - \delta y(x,t)(1-y(x,t)) = a\exp\left(-\frac{x^2}{2\sigma}\right)

If \delta is small you could perhaps do an expansion in powers of delta:

y(x,t) = y_0(x,t) + \delta y_1(x,t) + \delta^2 y_2(x,t) + \dots

Right now I'm not sure if there's a good way to get a closed form solution for any delta.
 
You can get rid of the mixed derivative by making the change of variable x = u + v and t = u - v, which is going to leave you with a wave equation plus some extra terms, which would be a more standard form.

Now still not sure how to solve it after that, the nonlinear term makes it quite tricky, although you could try to get a solution for delta = 0 (inhomogeneous wave equation) and use that as a starting point to get to a more general solution. However, the solution for delta = 0 will already include an integral over the Gaussian - i.e. the error function. So even if you can get an analytical solution for the whole thing, it's going to look quite nasty including integrals over erf etc.
 

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