Understanding the Limitations of WKB Approximation in One-Dimensional Problems

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SUMMARY

The WKB approximation is applicable primarily to one-dimensional problems due to the availability of explicit approximate solutions. In contrast, when dealing with multi-dimensional problems, the WKB method transitions to the eikonal approximation, which is associated with geometric optics. The eikonal function, derived from the Hamilton-Jacobi equation, represents the phase of oscillating waves and allows visualization of wave propagation akin to particle motion. This distinction underscores the limitations of WKB in higher dimensions, where explicit solutions are not feasible.

PREREQUISITES
  • Understanding of WKB approximation principles
  • Familiarity with wave equations and differential operators
  • Knowledge of Hamilton-Jacobi formalism
  • Basic concepts of geometric optics and eikonal approximation
NEXT STEPS
  • Study the derivation of the Hamilton-Jacobi equation in multi-dimensional contexts
  • Explore the relationship between WKB approximation and geometric optics
  • Investigate the application of eikonal approximation in solving wave equations
  • Learn about oscillatory integrals and their role in wave propagation analysis
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Physicists, mathematicians, and engineers interested in wave mechanics, particularly those working with differential equations and approximations in both one and multi-dimensional scenarios.

InGaAsP
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Hi all
I have a question about WKB approximation
Why is it that WKB method can be applied only to problems that are one dimensional or those which can be reduced to forms that are one dimensional ones?
any help is deeply appreciated
 
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InGaAsP said:
Hi all
I have a question about WKB approximation
Why is it that WKB method can be applied only to problems that are one dimensional or those which can be reduced to forms that are one dimensional ones?
any help is deeply appreciated

This is not quite correct. The one-dimensional WKB is widely used because you can have explicit approximate solutions. In many dimensions, there are no such explicit solutions. The analog of WKB approximation in many dimensions is the approximation of geometric optics (or eikonal approximation). This approximation can be applied to a wave equation in many dimensions, and you get a Hamilton-Jacobi equation for the "eikonal" function.

It works like this. Suppose you have a wave equation, let's write it symbolically as Wave([tex]\psi(x)[/tex])=0, where "Wave" is a differential operator and [tex]\psi(x)[/tex] is a function describing the wave; x is a multidimensional position vector. You would like to consider solutions [tex]\psi(x)[/tex] that look like quickly oscillating waves. So then you write the ansatz, [tex]\psi=\exp(\imath \lambda \Omega(x))[/tex], where [tex]\Omega[/tex] is a new unknown function, representing the phase of the oscillation, and [tex]\lambda[/tex] is a large constant (it's large because you want the wave to oscillate quickly). Then you substitute this ansatz into the wave equation and keep only terms of highest order in [tex]\lambda[/tex]. You get a nonlinear equation for [tex]\Omega(x)[/tex], which looks like the Hamilton-Jacobi equation. The function [tex]\Omega[/tex] is called the 'eikonal' but it's just the phase of the wave. This function can be interpreted as the action of a particle, as in the usual Hamilton-Jacobi formalism in mechanics. So in this way you can visualize propagation of waves as motion of particles along "rays".

In one dimensions, you do this and get an ordinary differential equation of first order for the eikonal [tex]\Omega[/tex]. So this can be solved and you get an explicit formula for the eikonal. In many dimensions, you can't solve it symbolically, so you just kind of say "grrr..." but at least the approximate solution exists and looks like a wave propagating in straight lines.
 

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