Integration Evaluation (Digamma function)

In summary, the conversation discusses the use of mathematics in a problem and the resulting equation, which involves a binomial expansion and the polygamma function. The conversation also mentions the series expansion of the polygamma function and its relationship to the harmonic numbers.
  • #1
EngWiPy
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Hello,

I am reading some material that using mathematics extensively, and I encountered with the following result:

[tex]\frac{N}{\overline{\gamma}}\,\int_0^{\infty}\gamma \,\left[1-\mbox{e}^{-\gamma/\overline{\gamma}}\right]^{N-1}\,\mbox{e}^{-\gamma/\overline{\gamma}}\,d\gamma=\,\overline{\gamma}\sum_{k=1}^N\frac{1}{k}[/tex]


How did they get there? I tried to use the binomial expansion and assemble the exponentials, but the result was something different. Any hint will be highly appreciated.

Thanks in advance
 
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  • #2
With ##g(\gamma)=\left[1-e^{-\gamma/\overline{\gamma}} \right]^N## we have for large ##N##
\begin{align*}
\dfrac{N}{\overline{\gamma}}\int_0^\infty \gamma \left[1-e^{-\gamma/\overline{\gamma}}\right]^{N-1}e^{-\gamma/\overline{\gamma}} & = \int_0^\infty \gamma \,g'(\gamma) d\gamma\\
&= \left[\gamma\,g(\gamma) - \int g(\gamma)\,d\gamma\right]_0^\infty \\
&=\left[ \gamma + \gamma \sum_{k=1}^N \binom{N}{k} \left(-e^{-\gamma/\overline{\gamma}} \right)^{k} - \gamma - \sum_{k=1}^N \binom{N}{k} \int \left(-e^{-\gamma/\overline{\gamma}} \right)^{k} \,d\gamma \right]_0^\infty \\
&=\sum_{k=1}^N \binom{N}{k} \left[ \left(\gamma +\dfrac{\overline{\gamma}}{k}\right) \left(-e^{-\gamma/\overline{\gamma}} \right)^{k} \right]_0^\infty \\
&= - \sum_{k=1}^N \binom{N}{k} \left(0+\dfrac{\overline{\gamma}}{k}\right) \left(-e^{-0 /\overline{\gamma}} \right)^{k} \\
&=\overline{\gamma} \cdot \left(- \sum_{k=1}^N (-1)^k \binom{N}{k}\dfrac{1}{k}\right) \\
&= \overline{\gamma} \cdot \left( \overline{\gamma} +\psi(N+1) \right)\\
&= \overline{\gamma} \cdot \left( \overline{\gamma} +\log N +\dfrac{1}{2N}- \dfrac{1}{12N^2}+\dfrac{1}{120N^4} +\mathcal{O}\left(\dfrac{1}{N^6}\right)\right)
\end{align*}
with the polygamma function ##\psi## and its series expansion at ##N=\infty##. On the other hand we have
\begin{align*}
\overline{\gamma}\sum_{k=1}^N \dfrac{1}{k} &= \overline{\gamma} H_N = \overline{\gamma} \left(\log N + \overline{\gamma} +\dfrac{1}{2N}- \dfrac{1}{12N^2}+\dfrac{1}{120N^4} +\mathcal{O}\left(\dfrac{1}{N^6} \right) \right)
\end{align*}
See also http://fractional-calculus.com/gamma_digamma.pdf
 
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FAQ: Integration Evaluation (Digamma function)

What is the Digamma function?

The Digamma function, denoted by ψ(x), is a special function in mathematics that is defined as the logarithmic derivative of the Gamma function. It is also known as the psi function or di-gamma function.

How is the Digamma function used in integration?

The Digamma function is used in integration as it has a close relationship with the Gamma function, which is an important function in evaluating integrals involving exponential and trigonometric functions.

What is the difference between the Digamma function and the Gamma function?

The Digamma function is the logarithmic derivative of the Gamma function, which means it is the derivative of the natural logarithm of the Gamma function. In other words, the Digamma function is the first-order derivative of the Gamma function.

Can the Digamma function be evaluated for all real numbers?

No, the Digamma function is undefined at certain points, including negative integers and zero. However, it can be evaluated for all other real numbers using various numerical methods.

What are some applications of the Digamma function?

The Digamma function has applications in various fields, including probability and statistics, physics, and engineering. It is used in evaluating integrals, calculating series expansions, and solving differential equations.

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