Digamma function

For Barnes's gamma function of 2 variables, see double gamma function.
The color representation of the Digamma function, \psi(z), in a rectangular region of the complex plane.

In mathematics, the digamma function is defined as the logarithmic derivative of the gamma function:[1][2]

\psi(x) =\frac{d}{dx} \ln{\Gamma(x)}= \frac{\Gamma\,'(x)}{\Gamma(x)}.

It is the first of the polygamma functions.

Relation to harmonic numbers

The digamma function, often denoted also as ψ0(x), ψ0(x) or \digamma (after the shape of the archaic Greek letter Ϝ digamma), is related to the harmonic numbers in that

\psi(n) = H_{n-1}-\gamma

where Hn is the n-th harmonic number, and γ is the Euler-Mascheroni constant. For half-integer values, it may be expressed as

\psi\left(n+{\frac{1}{2}}\right) = -\gamma - 2\ln 2 + \sum_{k=1}^n \frac{2}{2k-1}

Integral representations

If the real part of x is positive then the digamma function has the following integral representation

\psi(x) = \int_0^{\infty}\left(\frac{e^{-t}}{t} - \frac{e^{-xt}}{1 - e^{-t}}\right)\,dt.

This may be written as

\psi(s+1)= -\gamma + \int_0^1 \frac {1-x^s}{1-x} dx

which follows from Euler's integral formula for the harmonic numbers.

Series formula

Digamma can be computed in the complex plane outside negative integers (Abramowitz and Stegun 6.3.16),[1] using

\psi(z+1)= -\gamma +\sum_{n=1}^\infty \frac{z}{n(n+z)} \qquad z \neq -1, -2, -3, \ldots

or

\psi(z)=-\gamma+\sum_{n=0}^{\infty}\frac{z-1}{(n+1)(n+z)}=-\gamma+\sum_{n=0}^{\infty}\left(\frac{1}{n+1}-\frac{1}{n+z}\right)\qquad z\neq0,-1,-2,-3,\ldots

This can be utilized to evaluate infinite sums of rational functions, i.e.,

\sum_{n=0}^{\infty}u_{n}=\sum_{n=0}^{\infty}\frac{p(n)}{q(n)},

where p(n) and q(n) are polynomials of n.

Performing partial fraction on un in the complex field, in the case when all roots of q(n) are simple roots,

u_{n} =\frac{p(n)}{q(n)}=\sum_{k=1}^{m}\frac{a_{k}}{n+b_{k}}.

For the series to converge,

\lim_{n\to\infty}nu_{n}=0,

or otherwise the series will be greater than the harmonic series and thus diverges.

Hence

\sum_{k=1}^{m}a_{k}=0,

and

\begin{align}
\sum_{n=0}^{\infty}u_{n} &= \sum_{n=0}^{\infty}\sum_{k=1}^{m}\frac{a_{k}}{n+b_{k}} \\
&=\sum_{n=0}^{\infty}\sum_{k=1}^{m}a_{k}\left(\frac{1}{n+b_{k}}-\frac{1}{n+1}\right) \\
&=\sum_{k=1}^{m}\left(a_{k}\sum_{n=0}^{\infty}\left(\frac{1}{n+b_{k}}-\frac{1}{n+1}\right)\right)\\
&=-\sum_{k=1}^{m}a_{k}\left(\psi(b_{k})+\gamma\right) \\
&=-\sum_{k=1}^{m}a_{k}\psi(b_{k}).
\end{align}

With the series expansion of higher rank polygamma function a generalized formula can be given as

\sum_{n=0}^{\infty}u_{n}=\sum_{n=0}^{\infty}\sum_{k=1}^{m}\frac{a_{k}}{(n+b_{k})^{r_{k}}}=\sum_{k=1}^{m}\frac{(-1)^{r_{k}}}{(r_{k}-1)!}a_{k}\psi^{(r_{k}-1)}(b_{k}),

provided the series on the left converges.

Taylor series

The digamma has a rational zeta series, given by the Taylor series at z = 1. This is

\psi(z+1)= -\gamma -\sum_{k=1}^\infty \zeta (k+1)\;(-z)^k,

which converges for |z| < 1. Here, ζ(n) is the Riemann zeta function. This series is easily derived from the corresponding Taylor's series for the Hurwitz zeta function.

Newton series

The Newton series for the digamma follows from Euler's integral formula:

\psi(s+1)=-\gamma-\sum_{k=1}^\infty \frac{(-1)^k}{k} {s \choose k}

where \textstyle{s \choose k} is the binomial coefficient.

Reflection formula

The digamma function satisfies a reflection formula similar to that of the Gamma function,

\psi(1 - x) - \psi(x) = \pi\,\!\cot{ \left ( \pi x \right ) }

Recurrence formula and characterization

The digamma function satisfies the recurrence relation

\psi(x + 1) = \psi(x) + \frac{1}{x}.

Thus, it can be said to "telescope" 1/x, for one has

\Delta [\psi] (x) = \frac{1}{x}

where Δ is the forward difference operator. This satisfies the recurrence relation of a partial sum of the harmonic series, thus implying the formula

 \psi(n)\ =\ H_{n-1} - \gamma

where γ is the Euler-Mascheroni constant.

More generally, one has

\psi(x+1) = -\gamma + \sum_{k=1}^\infty \left( \frac{1}{k}-\frac{1}{x+k} \right).

Actually, ψ is the only solution of the functional equation

F(x + 1) = F(x) + \frac{1}{x}

that is monotone on R+ and satisfies F(1) = −γ. This fact follows immediately from the uniqueness of the Γ function given its recurrence equation and convexity-restriction. This implies the useful difference equation:

\psi(x+N) - \psi(x) =  \sum_{k=0}^{N-1}  \frac{1}{x+k}

Some finite sums involving the digamma function

There are numerous finite summation formulas for the digamma function. Basic summation formulas, such as

\sum_{r=1}^m \psi \left(\frac{r}{m}\right) =-m(\gamma+\ln m),
\sum_{r=1}^{m}\psi \left(\frac{r}{m}\right)
\cdot\exp\dfrac{2\pi rk i}{m} = m\ln\!\left(\!1-\exp\dfrac{2\pi k i}{m}\!\right) \,,
\qquad\quad k\in\mathbb{Z}\,, \qquad m\in\mathbb{N}\,, \qquad k\neq m.
\sum_{r=1}^{m-1} \psi \left(\frac{r}{m}\right)
\cdot\cos\dfrac{2\pi rk}{m} \,=\, m\ln\!\left(\!2\sin\frac{\,k\pi\,}{m}\!\right) + \, \gamma \,,
\qquad\qquad\qquad  k=1, 2,\ldots, m-1
\sum_{r=1}^{m-1}\psi \left(\frac{r}{m}\right)
\cdot\sin\dfrac{2\pi rk}{m} =\frac{\pi}{2} (2k-m) \,,
\qquad\qquad\qquad  k=1, 2,\ldots, m-1

are due to Gauss.[3][4] More complicated formulas, such as


\sum_{r=0}^{m-1} \psi \left(\frac{2r+1}{2m}\right)\cdot\cos\dfrac{(2r+1)k\pi }{m} = m\ln\left(\tan\frac{\,\pi k\,}{2m}\right) \,,
\qquad\qquad\qquad k=1, 2,\ldots, m-1

\sum_{r=0}^{m-1} \psi \left(\frac{2r+1}{2m}\right)\cdot\sin\dfrac{(2r+1)k\pi }{m} = -\frac{\pi m}{2}   \,,
\qquad\qquad\qquad k=1, 2,\ldots, m-1

\sum_{r=1}^{m-1} \psi\left(\frac{r}{m}\right)\cdot\cot\frac{\pi r}{m}= -\frac{\pi(m-1)(m-2)}{6}

\sum_{r=1}^{m-1}\psi \left(\frac{r}{m}\right)\cdot \frac{r}{m}=-\frac{\gamma}{2}(m-1)-\frac{m}{2}\ln m -\frac{\pi}{2}\sum_{r=1}^{m-1} \dfrac{r}{m}\cdot\cot\dfrac{\pi r}{m}

\sum_{r=1}^{m-1}\psi \left(\frac{r}{m}\right) \cdot\cos\dfrac{(2l+1)\pi r}{m}=
-\frac{\pi}{m}\sum_{r=1}^{m-1} \frac{r \cdot\sin\dfrac{2\pi r}{m}}{\,\cos\dfrac{2\pi r}{m} -\cos\dfrac{(2l+1)\pi }{m} \,}
 , \qquad\quad l\in\mathbb{Z}

\sum_{r=1}^{m-1}\psi \left(\frac{r}{m}\right) \cdot\sin\dfrac{(2l+1)\pi r}{m}=
-(\gamma+\ln2m)\cot\frac{(2l+1)\pi}{2m}
+ \sin\dfrac{(2l+1)\pi }{m}\sum_{r=1}^{m-1} \frac{\ln\sin\dfrac{\pi r}{m}}
{\,\cos\dfrac{2\pi r}{m} -\cos\dfrac{(2l+1)\pi }{m} \,} , \qquad\quad l\in\mathbb{Z}

\sum_{r=1}^{m-1} \psi^2\!\left(\frac{r}{m}\right)=
 (m-1)\gamma^2 + m(2\gamma+\ln4m)\ln{m} -m(m-1)\ln^2 2 
+\frac{\pi^2 (m^2-3m+2)}{12} 
+m\sum_{l=1}^{ m-1 }  \ln^2 \sin\frac{\pi l}{m}

are due to works of certain modern authors (see e.g. Appendix B in[5]).

Gauss's digamma theorem

For positive integers r and m (r < m), the digamma function may be expressed in terms of Euler's constant and a finite number of elementary functions

\psi\left(\frac{r}{m}\right) = -\gamma -\ln(2m) -\frac{\pi}{2}\cot\left(\frac{r\pi}{m}\right) +2\sum_{n=1}^{\lfloor \frac{m-1}{2} \rfloor} \cos\left(\frac{2\pi nr}{m} \right) \ln\sin\left(\frac{\pi n}{m}\right)

which holds, because of its recurrence equation, for all rational arguments.

Computation and approximation

According to the Euler–Maclaurin formula applied to[6]

\sum_{n=1}^x \frac{1}{n}

the digamma function for x, also a real number, can be approximated by

 \psi(x) = \ln(x) - \frac{1}{2x} - \frac{1}{12x^2} + \frac{1}{120x^4} - \frac{1}{252x^6} + \frac{1}{240x^8} - \frac{5}{660x^{10}} + \frac{691}{32760x^{12}} - \frac{1}{12x^{14}} + O\left(\frac{1}{x^{16}}\right)

which is the beginning of the asymptotical expansion of ψ(x). The full asymptotic series of this expansions is

 \psi(x) = \ln(x) - \frac{1}{2x} + \sum_{n=1}^\infty \frac{\zeta(1-2n)}{x^{2n}} = \ln(x) - \frac{1}{2x} - \sum_{n=1}^\infty \frac{B_{2n}}{2n\, x^{2n}}

where B_k is the k-th Bernoulli number and ζ is the Riemann zeta function. Although the infinite sum converges for no x, this expansion becomes more accurate for larger values of x and any finite partial sum cut off from the full series. To compute ψ(x) for small x, the recurrence relation

 \psi(x+1) = \frac{1}{x} + \psi(x)

can be used to shift the value of x to a higher value. Beal[7] suggests using the above recurrence to shift x to a value greater than 6 and then applying the above expansion with terms above x^{14} cut off, which yields "more than enough precision" (at least 12 digits except near the zeroes).

\begin{align}
\psi(x) &\in [\ln(x-1), \ln x] \\
\exp(\psi(x)) &\approx \begin{cases} \frac{x^2}{2} & x\in[0,1] \\ x - \frac{1}{2} & x>1 \end{cases}
\end{align}

From the above asymptotic series for ψ, one can derive asymptotic series for \exp \circ\, \psi that contain only rational functions and constants. The first series matches the overall behaviour of \exp \circ\, \psi well, that is, it behaves asymptotically identically for large arguments and has a zero of unbounded multiplicity at the origin, too. It can be considered a Taylor expansion of \exp(-\psi(1/y)) at y = 0.

 \frac{1}{\exp(\psi(x))} = \frac{1}{x}+\frac{1}{2\cdot x^2}+\frac{5}{4\cdot3!\cdot x^3}+\frac{3}{2\cdot4!\cdot x^4}+\frac{47}{48\cdot5!\cdot x^5} - \frac{5}{16\cdot6!\cdot x^6} + \cdots

The other expansion is more precise for large arguments and saves computing terms of even order.

 \exp(\psi(x+\tfrac{1}{2})) = x + \frac{1}{4!\cdot x} - \frac{37}{8\cdot6!\cdot x^3} + \frac{10313}{72\cdot8!\cdot x^5} - \frac{5509121}{384\cdot10!\cdot x^7} + O\left(\frac{1}{x^9}\right)\qquad\mbox{for } x>1

Special values

The digamma function has values in closed form for rational numbers, as a result of Gauss's digamma theorem. Some are listed below:

\begin{align}
\psi(1) &= -\gamma \\ 
\psi\left(\tfrac{1}{2}\right) &= -2\ln{2} - \gamma \\
\psi\left(\tfrac{1}{3}\right) &= -\tfrac{\pi}{2\sqrt{3}} -\tfrac{3}{2}\ln{3} - \gamma \\ 
\psi\left(\tfrac{1}{4}\right) &= -\tfrac{\pi}{2} - 3\ln{2} - \gamma \\
\psi\left(\tfrac{1}{6}\right) &= -\tfrac{\pi}{2}\sqrt{3} -2\ln{2} -\tfrac{3}{2}\ln(3) - \gamma \\
\psi\left(\tfrac{1}{8}\right) &= -\tfrac{\pi}{2} - 4\ln{2} - \frac{1}{\sqrt{2}} \left\{\pi + \ln \left (2 + \sqrt{2} \right ) - \ln \left (2 - \sqrt{2} \right ) \right \} - \gamma.
\end{align}

Moreover, by the series representation, it can easily be deduced that at the imaginary unit,

\begin{align}
\Re\left(\psi(i)\right) &= -\gamma-\sum_{n=0}^\infty\frac{n-1}{n^3+n^2+n+1}, \\ 
\Im\left(\psi(i)\right) &= \sum_{n=0}^\infty\frac{1}{n^2+1} = \frac12+\frac{\pi}{2}\coth(\pi).
\end{align}

Roots of the digamma function

The roots of the digamma function are the saddle points of the complex-valued gamma function. Thus they lie all on the real axis. The only one on the positive real axis is the unique minimum of the real-valued gamma function on R+ at x_0 = 1.461632144968\ldots. All others occur single between the poles on the negative axis:

\begin{align} 
x_1 &= -0.504083008..., \\
x_2 &= -1.573498473..., \\
x_3 &= -2.610720868..., \\
x_4 &= -3.635293366..., \\
&\qquad \cdots
\end{align}

Already in 1881, Hermite observed that

x_n = -n + \frac{1}{\ln n} + o\left(\frac{1}{\ln^2 n}\right)

holds asymptotically. A better approximation of the location of the roots is given by

x_n \approx -n + \frac{1}{\pi}\arctan\left(\frac{\pi}{\ln n}\right)\qquad n \ge 2

and using a further term it becomes still better

x_n \approx -n + \frac{1}{\pi}\arctan\left(\frac{\pi}{\ln n + \frac{1}{8n}}\right)\qquad n \ge 1

which both spring off the reflection formula via

0 = \psi(1-x_n) = \psi(x_n) + \frac{\pi}{\tan(\pi x_n)}

and substituting \psi(x_n) by its not convergent asymptotic expansion. The correct 2nd term of this expansion is of course \tfrac1 {2n}, where the given one works good to approximate roots with small index n.

Regarding the zeros, the following infinite sum identities were recently proved by Mező[8]

\begin{align}
\sum_{n=0}^\infty\frac{1}{x_n^2}&=\gamma^2+\frac{\pi^2}{2}, \\ 
\sum_{n=0}^\infty\frac{1}{x_n^4}&=\gamma^4+\frac{\pi^4}{9}+\frac23\gamma^2\pi^2+4\gamma\zeta(3).
\end{align}

Here \gamma is the Euler–Mascheroni constant.

Regularization

The Digamma function appears in the regularization of divergent integrals

 \int_{0}^{\infty} \frac{dx}{x+a},

this integral can be approximated by a divergent general Harmonic series, but the following value can be attached to the series

 \sum_{n=0}^{\infty} \frac{1}{n+a}= - \psi (a).

See also

References

  1. 1 2 Abramowitz, M.; Stegun, I. A., eds. (1972). "6.3 psi (Digamma) Function.". Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables (10th ed.). New York: Dover. pp. 258–259.
  2. Weisstein, Eric W., "Digamma function", MathWorld.
  3. R. Campbell. Les intégrales eulériennes et leurs applications, Dunod, Paris, 1966.
  4. H.M. Srivastava and J. Choi. Series Associated with the Zeta and Related Functions, Kluwer Academic Publishers, the Netherlands, 2001.
  5. Iaroslav V. Blagouchine A theorem for the closed-form evaluation of the first generalized Stieltjes constant at rational arguments and some related summations Journal of Number Theory (Elsevier), vol. 148, pp. 537-592, 2015. arXiv PDF
  6. Bernardo, José M. (1976). "Algorithm AS 103 psi(digamma function) computation" (PDF). Applied Statistics 25: 315–317.
  7. Beal, Matthew J. (2003). Variational Algorithms for Approximate Bayesian Inference (PDF) (PhD thesis). The Gatsby Computational Neuroscience Unit, University College London. pp. 265–266.
  8. I. Mező: 'A note on the zeros of the Digamma function and the derivative of the log-Barnes function,

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