Math 2.0

Special functions Gamma function and related functions Theorem

Binet's formulas for the log-gamma function

Builds on Log-gamma functionComplex logarithm

Statement

Let Log⁡Γ\operatorname{Log}\Gamma be the log-gamma function and Log⁡\operatorname{Log} the principal complex logarithm. For Re⁡z>0\operatorname{Re} z > 0 put μ(z)=Log⁡Γ(z)−(z−12)Log⁡z+z−12ln⁡(2π).\mu(z) = \operatorname{Log}\Gamma(z) - \left(z - \tfrac12\right)\operatorname{Log} z + z - \tfrac12 \ln(2\pi). Then for every zz with Re⁡z>0\operatorname{Re} z > 0:

  1. (Binet's first formula) μ(z)=∫0∞(12−1t+1et−1)e−ztt dt.\mu(z) = \int_0^\infty \left(\frac12 - \frac1t + \frac{1}{e^t - 1}\right)\frac{e^{-zt}}{t}\, dt.
  2. (Binet's second formula) μ(z)=2∫0∞arctan⁡(t/z)e2πt−1 dt,\mu(z) = 2\int_0^\infty \frac{\arctan(t/z)}{e^{2\pi t} - 1}\, dt, where arctan⁡(t/z)=12iLog⁡1+it/z1−it/z\arctan(t/z) = \frac{1}{2i}\operatorname{Log}\dfrac{1 + it/z}{1 - it/z} is the principal branch.

Remarks

The integrand of the first formula is bounded near t=0t = 0, since 12−1t+1et−1=t12+O(t3)\frac12 - \frac1t + \frac{1}{e^t - 1} = \frac{t}{12} + O(t^3). The first formula comes from integrating the integral representation of the digamma function. The second comes from the Abel–Plana summation formula, or from the first by a partial fraction expansion of 1et−1\frac{1}{e^t - 1}. The function μ\mu is called Binet's function; it is positive and decreasing on (0,∞)(0, \infty) and tends to 00 as x→∞x \to \infty. This limit is Stirling's formula for the gamma function on the real axis, and expanding 12−1t+1et−1\frac12 - \frac1t + \frac{1}{e^t - 1} in powers of tt gives Stirling's series term by term. For example, the first term t12\frac{t}{12} contributes ∫0∞112e−zt dt=112z\int_0^\infty \frac{1}{12} e^{-zt}\,dt = \frac{1}{12z}, the first correction in Stirling's series.

Going deeper

For a student

Binet's first formula is a Laplace transform, so Watson's lemma turns the Taylor series of its integrand directly into the asymptotic expansion of μ(z)\mu(z). The second formula is convenient for error bounds in the right half-plane, because the kernel 1e2πt−1\frac{1}{e^{2\pi t} - 1} is explicit and positive. Both show that μ(x)→0\mu(x) \to 0 monotonically, which gives sharp bounds such as 0<μ(x)<112x0 < \mu(x) < \frac{1}{12x} for x>0x > 0.

Reading path

To understand this page from the ground up, read these 3 pages in order. The foundations come first.

Show the path as a graph
Each page uses the pages above it. The colour of the bar on a box shows how strong the evidence is, and the box also gives it as text. The list has the same pages.
  • no evidence level
  1. Complex logarithm concept
  2. Log-gamma function concept
  3. Binet's formulas for the log-gamma function statement

Further reading

  1. Web https://en.wikipedia.org/wiki/Gamma_function
About this page
TagAGBWPB994F
URIm2://AGBWPB994F
Kindstatement, theorem
WritingW0 stub
MSC33B15
StatusThis copy of the site has no build data. Run m2 status AGBWPB994F.
AboutLog-gamma function
UsesLog-gamma function, Complex logarithm

Markdown · JSON · Edit on GitHub

What this page needs for W1

  • an inventory row: the row of the inventory that the node accounts for (0 of 1)
  • a source with a locator (0 of 1)

The writing levels say how complete the text of a page is. They do not measure its truth.

What links here

No page links to this page yet.