Evaluating the Challenging Integral I_n(x) and its Impact on the Sum S_n(x)

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In summary, the conversation discusses the evaluation of the integrals I_n(x) and S_n(x) and the desire for a non-homogeneous recurrence relation for I_n(x). A possible approach mentioned involves Feynman's trick for combining propagators in quantum field theory. The conversation also explores the relationship between I_n(x) and S_n(x) and the use of the formula for \log x to evaluate I_n(x).
  • #1
benorin
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Put

[tex]I_n(x)=\int \frac{n!dx}{x(x+1)\cdots (x+n)}[/tex]​

The desired result is an evaluation of the sum

[tex]S_n(x)=\sum_{k=0}^{n}(-1)^{k}\left(\begin{array}{c}n\\k\end{array}\right) (x+k)\log (x+k)[/tex]​

and so it is important that the evaluation of [tex]I_n(x)[/tex] be not by means of partial fraction decomposition, for this is already of note that [tex]S_n(x)[/tex] may be evaluated, that is to say: it is known to me that

[tex]\int\frac{n!dx}{x(x+1)\cdots (x+n)}=\int\sum_{k=0}^{n}\left(\begin{array}{c}n\\k\end{array}\right) \frac{(-1)^k}{x+k}dx = \sum_{k=0}^{n}\left(\begin{array}{c}n\\k\end{array}\right) (-1)^{k}\log (x+k)+C[/tex]​

whence integrating once again will produce an evaluation for [tex]S_n(x)[/tex].

I was working on developing a recurrence relation for [tex]I_n(x)[/tex] that I may solve it via generating functions; here of note is that it is also known to me that

[tex]I_{n+1}(x)=I_n(x)-I_n(x+1)[/tex]

yet this is not useful to that end. What is desired is a non-homogeneous recurrence. Any thoughts?
 
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  • #2
How does S relate to I?

Is there any reason why you can't use the partial fraction decomposition, and then rearrage it into the form you desire?
 
  • #3
I made a mistake in my tex, now the three dots show up.
 
  • #4
To answer your question,

[tex]\int I_n(x)dx = S_n(x) +g(x)[/tex]

where I suspect that g(x) is rather tivial.

EDIT: in fact, g(x)=0.
 
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  • #5
benorin said:
To answer your question,

[tex]\int I_n(x)dx = S_n(x) +g(x)[/tex]

where I suspect that g(x) is rather tivial.

EDIT: in fact, g(x)=0.
You don't really mean the integral of I_n(x), right? You mean I_n(x) = S_n(x), correct?

EDIT: Actually, I am a bit confused by the notation.I is an integral over x so why is it a function of x? Fo you mean [itex] I_n(x) = \int_0^x \, f(x') [/itex] or something to that effect?
 
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  • #6
benorin said:
Put

[tex]I_n(x)=\int \frac{n!dx}{x(x+1)\cdots (x+n)}[/tex]​

The desired result is an evaluation of the sum

[tex]S_n(x)=\sum_{k=0}^{n}(-1)^{k}\left(\begin{array}{c}n\\k\end{array}\right) (x+k)\log (x+k)[/tex]​

and so it is important that the evaluation of [tex]I_n(x)[/tex] be not by means of partial fraction decomposition, for this is already of note that [tex]S_n(x)[/tex] may be evaluated, that is to say: it is known to me that

[tex]\int\frac{n!dx}{x(x+1)\cdots (x+n)}=\int\sum_{k=0}^{n}\left(\begin{array}{c}n\\k\end{array}\right) \frac{(-1)^k}{x+k}dx = \sum_{k=0}^{n}\left(\begin{array}{c}n\\k\end{array}\right) (-1)^{k}\log (x+k)+C[/tex]​

whence integrating once again will produce an evaluation for [tex]S_n(x)[/tex].

I was working on developing a recurrence relation for [tex]I_n(x)[/tex] that I may solve it via generating functions; here of note is that it is also known to me that

[tex]I_{n+1}(x)=I_n(x)-I_n(x+1)[/tex]

yet this is not useful to that end. What is desired is a non-homogeneous recurrence. Any thoughts?

I haven't thought this one through completely but have you heard of Feynman's trick for combining propagators in quantum field theory. It *might* prove useful. It is the identity

[tex] { 1 \over A_1 A_2 \ldots A_n} = \int_0^1 dy_1 \ldots dy_n \, \delta (\sum_{i=1}^n y_i -1) \, { (n-1)! \over (y_1 A_1 + y_2 A_2 + \ldots y_n A_n)^n } [/tex]

I just have a *gut* feeling that this might do the trick but I haven't worked out anything. It's 1 Am here and I am about to go to bed.

Patrick
 
  • #7
nrqed said:
You don't really mean the integral of I_n(x), right? You mean I_n(x) = S_n(x), correct?

EDIT: Actually, I am a bit confused by the notation.I is an integral over x so why is it a function of x? Fo you mean [itex] I_n(x) = \int_0^x \, f(x') [/itex] or something to that effect?

Because it is an indefinite integral, it is still a function of x after the integration is carried out, as in:[tex]\int \cos xdx=\sin x +C[/tex]
 
  • #8
And no, I do mean to say that [tex]\int I_n(x)dx = S_n(x) +C[/tex] since

[tex]I_n(x)=\int\frac{n!dx}{x(x+1)\cdots (x+n)}=\int\sum_{k=0}^{n}\left(\begin{array}{c}n\\ k\end{array}\right) \frac{(-1)^k}{x+k}dx = \sum_{k=0}^{n}\left(\begin{array}{c}n\\k\end{array }\right) (-1)^{k}\log (x+k)+C_1[/tex]

we have

[tex]\int I_n(x)dx=\int\int\frac{n!dxdx}{x(x+1)\cdots (x+n)}= \int\sum_{k=0}^{n}\left(\begin{array}{c}n\\k\end{array }\right) (-1)^{k}\log (x+k) dx +\int C_1 dx[/tex]
[tex]= \sum_{k=0}^{n}\left(\begin{array}{c}n\\k\end{array }\right) (-1)^{k}\int\log (x+k) dx+C_1x = \sum_{k=0}^{n}\left(\begin{array}{c}n\\k\end{array }\right) (-1)^{k}\left[ (x+k)\log (x+k)-(x+k)\right] +C_1x+C_2[/tex]
[tex]=\sum_{k=0}^{n}\left(\begin{array}{c}n\\k\end{array }\right) (-1)^{k}(x+k)\log (x+k)-\sum_{k=0}^{n}\left(\begin{array}{c}n\\k\end{array }\right) (-1)^{k}(x+k)+C_1x+C_2+h_n(x)=S_n(x)+C[/tex]

where a formula from the calculus of finite differences has been used to determine that

[tex]h_n(x)=\sum_{k=0}^{n}\left(\begin{array}{c}n\\k\end{array }\right) (-1)^{k}(x+k)=\left\{\begin{array}{cc}x,& \mbox{ if } n=0\\-1, & \mbox{ if } n=1\\0, & \mbox{ if } n\geq 1 \end{array}\right.[/tex]​
 
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  • #9
An interesting development

An interesting development: recall that

[tex]\log x = \int_{0}^{\infty}\left( e^{-t}-e^{-xt}\right)\frac{dt}{t}[/tex]​

so that (dropping the "+C") we have

[tex]I_n(x+1)=\sum_{k=0}^{n}\left(\begin{array}{c}n\\k\end{array}\right) (-1)^{k}\log (x+k+1)=\sum_{k=0}^{n}\left(\begin{array}{c}n\\k\end{array}\right) (-1)^{k}\int_{0}^{\infty}\left( e^{-t}-e^{-(x+k+1)t}\right)\frac{dt}{t} [/tex]
[tex]= \int_{0}^{\infty}e^{-t}\sum_{k=0}^{n}\left(\begin{array}{c}n\\k\end{array}\right) (-1)^{k}\left( 1-e^{-(x+k)t}\right)\frac{dt}{t}=\int_{0}^{\infty}\left[e^{-t}\delta_{n,0}- e^{-t(x+1)}\sum_{k=0}^{n}\left(\begin{array}{c}n\\k\end{array}\right) \left(-e^{-t}\right) ^{k}\right] \frac{dt}{t}[/tex]
[tex]=\int_{0}^{\infty}\left[e^{-t}\delta_{n,0}- e^{-t(x+1)}\left(1-e^{-t}\right) ^{n}\right] \frac{dt}{t}[/tex]​

where [tex]\delta_{n,0} = \left\{\begin{array}{cc}1,&\mbox{ if }
n=0\\0, & \mbox{ if } n\neq 0\end{array}\right.[/tex] is the discete delta function, hence the evaluation

[tex]I_n(x)=\left\{\begin{array}{cc}\int_{0}^{\infty}\left(e^{-t}- e^{-xt}\right) \frac{dt}{t}=\log x ,&\mbox{ if }
n=0\\ -\int_{0}^{\infty}e^{-tx}\left(1-e^{-t}\right) ^{n}\frac{dt}{t}, & \mbox{ if } n\neq 0\end{array}\right.[/tex]​
 
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FAQ: Evaluating the Challenging Integral I_n(x) and its Impact on the Sum S_n(x)

1. What is the purpose of evaluating the challenging integral I_n(x)?

The purpose of evaluating the challenging integral I_n(x) is to determine the exact value of the sum S_n(x). This integral represents the sum of a series of values, and evaluating it allows us to understand the behavior and impact of this series.

2. How does the value of I_n(x) affect the overall sum S_n(x)?

The value of I_n(x) directly impacts the overall sum S_n(x). This is because the integral represents the sum of all terms in the series, and any changes in the value of I_n(x) will result in changes to the sum.

3. What techniques are commonly used to evaluate challenging integrals?

There are several techniques that can be used to evaluate challenging integrals, including substitution, integration by parts, and partial fraction decomposition. These techniques allow us to simplify the integral and solve for its exact value.

4. How does the complexity of the integral impact its evaluation?

The complexity of the integral can greatly impact its evaluation. More complex integrals may require more advanced techniques and may take longer to solve. Additionally, the complexity of the integral may also affect the accuracy of the final solution.

5. What are some real-world applications of evaluating challenging integrals?

Evaluating challenging integrals has various real-world applications, such as in physics, engineering, and economics. For example, in physics, challenging integrals may be used to calculate the trajectory of a moving object or the amount of work done by a force. In economics, they may be used to determine the total cost or revenue of a business over a period of time.

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