Numerically solutions with periodic boundary conditions

In summary, the conversation is about solving the Schrodinger Equation (SE) with periodic boundary conditions. The question arises whether the SE is time dependent or stationary and which type of solution is needed for each case. It is suggested to use the split-step method for time dependent SE and to take advantage of the symmetry of the solution for stationary SE by using a shooting method.
  • #1
jimmy neutron
26
1
Is anyone aware of how to numerically solve the (1D) SE with periodic boundary conditions?
 
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  • #2
It is time dependent SE or stationay SE? If it is stationary you need the ground solution or some excited state solution?
 
  • #3
soarce said:
It is time dependent SE or stationay SE? If it is stationary you need the ground solution or some excited state solution?
It is for the time independent Schrodinger Equation and for ground state solution
 
  • #4
For time dependent equation I would start by split-step method, when using Fourier Transform you get by default the periodic boundary conditions: http://en.wikipedia.org/wiki/Split-step_method otherwise you would need to implement a propagation method (Euler, Crank-Nicholson etc).
As for stationary solutions you can you the symmetry of your solution, i.e. translation invariant, to rewrite your solution on a closed interval [a,b] and the use, for instance, shooting method http://en.wikipedia.org/wiki/Shooting_method
 

1) What are periodic boundary conditions?

Periodic boundary conditions are a set of mathematical rules used to model how a system behaves when it is constrained within a finite space. In this context, the boundaries of the space are considered to be periodic, meaning that they are connected in a way that allows for the system to repeat itself periodically.

2) How are periodic boundary conditions applied in numerical solutions?

In numerical solutions, periodic boundary conditions are typically applied by imposing restrictions on the values of the solution at the boundaries of the computational domain. These restrictions ensure that the solution remains periodic, even when the boundaries are reached.

3) What are the advantages of using periodic boundary conditions in numerical solutions?

One advantage of using periodic boundary conditions is that they allow for the simulation of systems with large spatial extents, without the need for an extremely large computational domain. Additionally, periodic boundary conditions can help to reduce the effects of boundary conditions on the solution, making it more accurate.

4) Are there any limitations to using periodic boundary conditions?

Periodic boundary conditions are not suitable for all systems and may not accurately represent the behavior of some physical systems. In particular, they may not be appropriate for systems with strong gradients or discontinuities near the boundaries.

5) How can one determine if periodic boundary conditions are appropriate for a given system?

The appropriateness of using periodic boundary conditions can be determined by analyzing the behavior of the system near the boundaries and considering the specific physical properties of the system. It may also be helpful to compare the results obtained with and without periodic boundary conditions to assess their impact on the solution.

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