How do I find the integral of t^{x-1} e^{-t} from 0 to 1?

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Discussion Overview

The discussion revolves around the integral of the function \( t^{x-1} e^{-t} \) from 0 to 1, specifically exploring how to derive the identity that expresses this integral as a series. The scope includes mathematical reasoning and series expansions related to special functions.

Discussion Character

  • Mathematical reasoning
  • Technical explanation

Main Points Raised

  • One participant references a book on special functions, stating the integral equals a series involving factorials and powers of \( x \) and \( n \).
  • Another participant suggests using the Maclaurin series representation of \( e^{-t} \) as a hint for solving the integral.
  • A later reply elaborates on expressing \( e^{-t} \) as a Taylor series and provides a step-by-step breakdown of how to derive the series representation of the integral.
  • One participant expresses frustration at not recognizing the solution immediately, indicating a personal struggle with the material.
  • Another participant asks about the purpose of the original inquiry regarding the book, indicating interest in the context of the discussion.

Areas of Agreement / Disagreement

Participants generally agree on the approach of using series expansion to evaluate the integral, but there is no consensus on the clarity or completeness of the derivation process. Multiple viewpoints on the steps involved remain present.

Contextual Notes

Some participants express uncertainty about their memory of series expansions and the derivation process, indicating potential gaps in understanding or missing assumptions in the discussion.

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I am reading the red book on special functions of Andrews, and he writes there that:

\int_{0}^{1} t^{x-1} e^{-t} dt =\sum_{n=0}^{\infty} \frac{(-1)^n}{(x+n)n!}

And I don't see how to arrive at this identity, I guess he expands t in the integrand but my memory is rusty as to this series expansion.

Thanks in advance.
 
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Re: estimate of an integral.

Here is a hint, use the maclurain representation of $$e^{-t}$$ ...
 
Re: estimate of an integral.

Alan said:
I am reading the red book on special functions of Andrews, and he writes there that:

\int_{0}^{1} t^{x-1} e^{-t} dt =\sum_{n=0}^{\infty} \frac{(-1)^n}{(x+n)n!}

And I don't see how to arrive at this identity, I guess he expands t in the integrand but my memory is rusty as to this series expansion.

Thanks in advance.

Edit: I was ninja'd by ZaidAlyafey, so I'll put the work in spoilers instead of deleting it all... xD

The gist of the argument is this -- you express $e^{-t}$ as a Taylor series: $\displaystyle e^{-t}=\sum_{n=0}^{\infty}\frac{(-1)^nt^n}{n!}$

So it now follows that
\[\int_0^1t^{x-1}e^{-t}\,dt =\int_0^{\infty}t^{x-1} \sum_{n=0}^{\infty}\frac{(-1)^n t^n}{n!}\,dt = \int_0^1\sum_{n=0}^{\infty} (-1)^n\frac{t^{x+n-1}}{n!} \,dt\]
We now integrate termwise to get
\[\sum_{n=0}^{\infty}(-1)^n \left(\int_0^1 \frac{t^{x+n-1}}{n!} \,dt\right)= \sum_{n=0}^{\infty} (-1)^n\left[\frac{t^{x+n}}{(x+n) \cdot n!}\right]_0^1 =\sum_{n=0}^{\infty} \frac{(-1)^n}{(x+n)\cdot n!}\]
which is what was to be shown.

I hope this makes sense!
 
Re: estimate of an integral.

Thanks, what an idiot I am not to see this straight away... I am getting old. :-)
 
Re: estimate of an integral.

Alan said:
I am reading the red book on special functions of Andrews

Really , interesting , may I ask what is the purpose ?
 
Re: estimate of an integral.

Alan said:
I am reading the red book on special functions of Andrews, and he writes there that:

\int_{0}^{1} t^{x-1} e^{-t} dt =\sum_{n=0}^{\infty} \frac{(-1)^n}{(x+n)n!}

And I don't see how to arrive at this identity, I guess he expands t in the integrand but my memory is rusty as to this series expansion.

Thanks in advance.

You have...

$\displaystyle t^{x-1} e^{-t} = \sum_{n=0}^{\infty} \frac{(-1)^{n}}{n!}\ t^{x-1+n}$ (1)

... so that is...

$\displaystyle \int_{0}^{1} t^{x-1} e^{-t} dt = \sum_{n=0}^{\infty} \frac{(-1)^{n}}{n!}\ \int_{0}^{1} t^{x-1+n}\ dt = \sum_{n=0}^{\infty} \frac{(-1)^{n}}{(x+n)\ n!}$ (2)

Kind regards

$\chi$ $\sigma$
 

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