Approximating H Wavefunction Circular State for Large n

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SUMMARY

The discussion focuses on approximating the wavefunction of circular states in the hydrogen atom, specifically for large quantum numbers (n >> 1). Participants are tasked with evaluating the expectation value \langle \Psi_{n,n-1,n-1}| r_{n,l=n-1}|\Psi_{n,n-1,n-1}\rangle, utilizing the spherical harmonics and associated Legendre polynomials. The challenge lies in deriving the necessary derivatives for the wavefunction while leveraging the simplifications that arise from large n values. Suggestions include testing specific cases such as n = 20, 30, 40, and observing trends in the expectation value for r.

PREREQUISITES
  • Understanding of hydrogen atom wavefunctions and quantum mechanics
  • Familiarity with spherical harmonics and associated Legendre polynomials
  • Knowledge of expectation values in quantum mechanics
  • Basic calculus, particularly differentiation of polynomials
NEXT STEPS
  • Explore the derivation of associated Legendre polynomials for large n
  • Investigate the properties of spherical harmonics and their orthonormality
  • Learn about the asymptotic behavior of wavefunctions in quantum mechanics
  • Conduct numerical simulations for expectation values of r in hydrogen states
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Students and researchers in quantum mechanics, particularly those studying atomic physics and wavefunction analysis in hydrogen-like systems.

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1. Homework Statement
We are studying circular states of the hydrogen atom (states where the l quantum number is = n-1). We are asked to evaluate \langle \Psi_{n,n-1,n-1}| r_{n,l=n-1}|\Psi_{n,n-1,n-1}\rangle. The wave function is that of the hydrogen atom, and the thing we are taking the expectation value of is the radial portion of the hydrogen wave function.

We are also told that n>>1. 2. Homework Equations 3. The Attempt at a Solution
I'm confused about how to construct the wavefunction with n being left general (not a numeric value). Forming the spherical harmonics requires using the associated Legendre polynomial P_{n-1,n-1}(\theta), but the derivative \frac{d^{2n}}{d\theta^{2n}}(\theta^2-1)^{n-1} necessary to do that is where I'm stuck.

I feel that using the fact that n>>1 will help simplify this, but I'm not sure how.
 
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You could do a few test cases, n = 20, 30, 40, 50, ..., 100.

Then look for the trend or fit the values you determine for the expectation value for r as a function of n.
 
I see. In this case I can just use the orthonormality of the spherical harmonics to integrate away the angular dependence.
 
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