Separation of variables to solve Schrodinger equations

In summary: It's possible to do, but it's not always straightforward. In some cases the potential can be expressed in terms of a single Green's function, in which case the equation can be solved directly. In other cases the potential can be expressed in terms of a pair of Green's functions, and then the equation must be solved using the Green's function expansion.
  • #1
ace1719
23
2
I've found many articles online that explain how to solve the Schrodinger equation for a potential dependent on x, but not for one dependent on t. A couple articles said that you could not use separation of variables to solve the Schrodinger equation with a time dependent potential, but they did not explain why. Why can you not use separation of variables to solve the Schrodinger equation with a time dependent potential, specifically; V(t)=A*cos(ωt), where A is a constant potential and ω is the angular frequency. Thanks!
 
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  • #2
Technically, a time-dependent field is not a 'potential' field. The S equation is soluble by separation of variables because the equation can be arranged so that the time-dependence is entirely one one side of the = sign. The other side of the = sign has no time-dependence. Mathematically, this can happen if and only if both the expressions are equal to a constant. In physical terms this constant works out to be the total energy. The wave represents a solution to an oscillator system.
If a time-dependent field is present, the solution is time-dependent and represents a *driven* oscillator, with energy being exchanged between the system and the environment. The source/sink of this variable energy is the time-dependent field.
Specifically, if the time-dependent potential is applied as an operator to a spatially-dependent wave, the solution to the S Equation would require Green's Functions, and the orthogonal coordinates needed for separating the variables would be mixed coordinates in space and time. They would represent nodes in the space/time-dependent wave solution.
 
  • #3
tadchem said:
Technically, a time-dependent field is not a 'potential' field. The S equation is soluble by separation of variables because the equation can be arranged so that the time-dependence is entirely one one side of the = sign. The other side of the = sign has no time-dependence. Mathematically, this can happen if and only if both the expressions are equal to a constant. In physical terms this constant works out to be the total energy. The wave represents a solution to an oscillator system.
If a time-dependent field is present, the solution is time-dependent and represents a *driven* oscillator, with energy being exchanged between the system and the environment. The source/sink of this variable energy is the time-dependent field.
Specifically, if the time-dependent potential is applied as an operator to a spatially-dependent wave, the solution to the S Equation would require Green's Functions, and the orthogonal coordinates needed for separating the variables would be mixed coordinates in space and time. They would represent nodes in the space/time-dependent wave solution.

Thanks a lot for the explanation, but just to clarify, is there nothing mathematically wrong with doing separation of variables with a time dependent potential?
 
  • #4
Mathematically, separation of variables works best when the variables are orthogonal. In static problems Time is always orthogonal to the spatial variables.
In dynamic problems (time-dependent) the separability occurs when the chosen coordinates represent represent independent modes of vibration. Each vibrational mode becomes a coordinate with its own potential and wave solutions.
Chemists who study vibrational spectra of individual molecules (usually infrared) work with this daily. Sometimes two modes of vibration have the same symmetry and frequency ω , such as the 'bending' modes of a CO2 molecule. In that case the vibrations define a 'subspace' of fewer dimensions that is completely separable from the remaining modes, but which are indistinguishable from each other. Herzberg is a good starting point for electronic spectra of small molecules.
 
  • #5
Why don't you just try it out?
 

1. What is separation of variables?

Separation of variables is a mathematical technique used to solve complex differential equations by breaking them down into simpler, independent equations. It involves separating the variables in the equation and solving for each variable separately.

2. Why is separation of variables commonly used in solving Schrodinger equations?

Schrodinger equations are partial differential equations that describe the behavior of quantum systems. Separation of variables allows us to break down these equations into simpler, independent equations that are easier to solve, making it a useful technique in solving Schrodinger equations.

3. How does separation of variables work in solving Schrodinger equations?

In solving Schrodinger equations, separation of variables involves separating the equation into two parts: the time-dependent part and the spatial part. The spatial part is then further separated into multiple independent equations, each with only one variable. These equations can then be solved separately and combined to find the complete solution.

4. What are the benefits of using separation of variables to solve Schrodinger equations?

The main benefit of using separation of variables to solve Schrodinger equations is that it simplifies the equation and makes it easier to solve. It also allows us to find the time-dependent and spatial parts of the solution separately, which can provide more insight into the behavior of the quantum system. Additionally, separation of variables can be used to find exact solutions for certain types of Schrodinger equations.

5. Are there any limitations to using separation of variables in solving Schrodinger equations?

While separation of variables is a useful technique, it is not always applicable to all types of Schrodinger equations. It can only be used for linear equations with separable variables. Additionally, it may not always provide exact solutions, and in some cases numerical methods may be necessary to solve the equations.

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