Stirling approximation for gamma function

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SUMMARY

The discussion focuses on the Stirling approximation for the gamma function, specifically the limit expression \lim_{x\to\infty} \frac{\Gamma(x+1)}{\sqrt{2\pi x}\big(\frac{x}{e}\big)^x} = 1. A proof involving the factorial function \lim_{n\to\infty} \frac{n!}{\sqrt{2\pi n}\big(\frac{n}{e}\big)^n} = 1 is referenced, highlighting the challenges in generalizing this to the gamma function. The conversation also touches on the Method of Steepest Descent and the asymptotic series for the gamma function, emphasizing the need for careful consideration of convergence conditions.

PREREQUISITES
  • Understanding of gamma function properties
  • Familiarity with Stirling's approximation
  • Knowledge of asymptotic series
  • Experience with integration techniques, particularly integration by parts
NEXT STEPS
  • Study the Method of Steepest Descent for deriving asymptotic approximations
  • Explore the convergence conditions of Taylor series for logarithmic functions
  • Investigate the detailed derivation of Stirling's formula from the Wikipedia article
  • Learn about the properties and applications of asymptotic series in mathematical analysis
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Mathematicians, statisticians, and researchers in computational mathematics who are working with gamma functions, approximations, and asymptotic analysis.

jostpuur
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How to prove that this formula is correct:

<br /> \lim_{x\to\infty} \frac{\Gamma(x+1)}{\sqrt{2\pi x}\big(\frac{x}{e}\big)^x} = 1<br />

I have seen a proof for this:

<br /> \lim_{n\to\infty} \frac{n!}{\sqrt{2\pi n}\big(\frac{n}{e}\big)^n} = 1<br />

but it cannot be generalized easily for gamma function. The proof goes through first proving

<br /> \pi = \lim_{k\to\infty} \frac{1}{k}\frac{2\cdot 2 \cdot 4 \cdot 4 \cdots (2k)\cdot (2k)}{1\cdot 1 \cdot 3 \cdot 3 \cdots (2k-1)\cdot (2k-1)}<br />

by using integration by parts on certain powers of sine.

It should be noted that the generalization to the gamma function is not trivial merely because the gamma function happens to grow continuously and monotonically. For example, if we set a continuous and monotonic function f:[0,\infty[\to [0,\infty[ so that f(n)=n!, but f(n+\delta)\approx (n+1)! with small delta, then the expression

<br /> \frac{f(x)}{\sqrt{2\pi x}\big(\frac{x}{e}\big)^x}<br />

would not converge towards anything.

Wikipedia page mentions something about the gamma function here http://en.wikipedia.org/wiki/Stirling's_approximation, but I don't understand how the logarithm of gamma function \log(\Gamma(z)) is calculated there.
 
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Is deriving the denominator sufficient? If so, use the Method of Steepest Descent. Conveniently, the wikipedia article on it has the derivation of Sterling's formula:

http://en.wikipedia.org/wiki/Method_of_steepest_descent

I suspect you can probably use that anyways by deriving the asymptotic series for the gamma function. You probably have to be careful though, as I don't believe that series converges. I forget the exact conditions... Something about if you cut the series off at a finite number of terms, then for larger N you get a better approximation? See http://en.wikipedia.org/wiki/Asymptotic_series
 
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Thanks for the link. I'll try to make that rigor, and I don't think it's going to be impossible. The problem is that the Taylor series of logarithm don't converge everywhere, but in the expression

<br /> \Gamma(x) = \int\limit_0^{\infty} t^{x-1} e^{-t} dt = (x-1)^x \int\limits_0^{\infty} e^{(x-1)(\log(u) - u)} du<br />

the integral, over the area where the Taylor series of logarithm don't converge, should vanish in the limit x\to\infty.

Or then it doesn't vanish, but approaches the infinity sufficiently slower than the relevant part of the integral.
 
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