Separation of Variables in Spherical Schrodinger Equation

In summary, the normalization condition states that the sum of the squares of the radial and angular wavefunctions (ψ and Y) must equal 1.
  • #1
gametheory
6
0
The normalization condition is:

∫|ψ|[itex]^{2}[/itex]d[itex]^{3}[/itex]r=1

In spherical coordinates:

d[itex]^{3}[/itex]r=r[itex]^{2}[/itex]sinθdrdθd[itex]\phi[/itex]

Separating variables:

∫|ψ|[itex]^{2}[/itex]r[itex]^{2}[/itex]sinθdrdθd[itex]\phi[/itex]=∫|R|[itex]^{2}[/itex]r[itex]^{2}[/itex]dr∫|Y|[itex]^{2}[/itex]sinθdθd[itex]\phi[/itex]=1

The next step is the part I don't understand. It says:

∫[itex]^{∞}_{0}[/itex]|R|[itex]^{2}[/itex]r[itex]^{2}[/itex]dr=1 and ∫[itex]^{2\pi}_{0}[/itex]∫[itex]^{\pi}_{0}[/itex]|Y|[itex]^{2}[/itex]sinθdθd[itex]\phi[/itex]=1

I don't understand why they both have to be one. I remember learning that if a function dependent on one variable equals the function dependent on another variable then they both must equal a constant, which makes sense to me. Given the equations here, however, why can't the R part of ψ in Equation 3 equal, say 0.5, and the Y part = 2?
 
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  • #2
Well here's a heuristic argument that I can think of for why they must be separately normalized to 1.

You can think of R as a 1D position wavefunction for the radial position. If the radial position is a random variable, then |R|^2 is its probability density function, and like any pdf, the integral over all possible r values of this pdf must equal 1, since the probability of finding the electron *at some radius between 0 and infinity* is 100%

Similary, Y is a 2D position wavefunction for the angular position coordinates theta and phi. Hence |Y|^2 is a joint probability density function for theta and phi, and like any joint pdf, the integral over all possible values of all of the variables must be 1, because the probability of finding the electron at *some* azimuthal angle and *some* polar angle on the sphere is 100%.

Another argument: It would be very fortuitous indeed if the function R(r) and the function Y(θ, ##\phi## ) just so happened to be of the right shape that the integral over the radial function was x (for x < 1) and the integral over the angular function was (1-x). I don't think that there is any reason why this would have to be true for every R and Y that satisfied the Schrodinger equation.
 
  • #3
Incidentally, the Y's are the spherical harmonics which are an orthonormal basis in the Hilbert space [itex] \displaystyle{\mathcal{L}^2\left(S^2,d\Omega\right)} [/itex], so the second integral in the product is necessarily 1. Then it follows that the first integral should be equal to 1 as well.
 

Related to Separation of Variables in Spherical Schrodinger Equation

1. What is the spherical Schrodinger equation?

The spherical Schrodinger equation is a mathematical equation used in quantum mechanics to describe the behavior of particles in a spherically symmetric potential. It is a partial differential equation that contains information about the energy, position, and momentum of a particle.

2. What is the purpose of separating variables in the spherical Schrodinger equation?

The purpose of separating variables in the spherical Schrodinger equation is to simplify the equation and make it easier to solve. By separating the variables, the equation can be broken down into smaller, more manageable equations that can be solved independently.

3. How do you separate variables in the spherical Schrodinger equation?

To separate variables in the spherical Schrodinger equation, the wave function is written as a product of two functions, one that depends on the radial coordinate and the other that depends on the angular coordinates. These functions can then be substituted into the equation, resulting in two separate equations that can be solved individually.

4. What are the benefits of using the separation of variables method?

The separation of variables method allows for the solution of complex equations by breaking them down into simpler equations. This technique is widely used in physics and engineering, and it can provide valuable insights into the behavior of systems described by differential equations.

5. Are there any limitations to the separation of variables method?

Yes, there are limitations to the separation of variables method. It can only be applied to certain types of equations, such as those with separable variables. Additionally, the method may not always provide the most accurate solution, and other techniques may need to be used in conjunction with it.

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