[itex]\lim_{n \to \infty} \sum_{1}^{n} 1/(n+i)=log(2)[/itex]

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Homework Help Overview

The discussion revolves around the limit of a summation involving the reciprocal of a linear function, specifically \(\lim_{n \to \infty} \sum_{i=1}^{n} \frac{1}{n+i}\), and its relation to the logarithm function, with participants attempting to prove that this limit equals \(\log(2)\). The subject area includes calculus and series convergence.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning, Problem interpretation, Assumption checking

Approaches and Questions Raised

  • Participants discuss the use of the digamma function and its properties, with some questioning the validity of results obtained from computational tools like Wolfram Alpha. There are attempts to rewrite the summation in terms of harmonic numbers and explore asymptotic behavior. Others express interest in different approaches and algorithms to verify convergence.

Discussion Status

The discussion is ongoing, with various interpretations and methods being explored. Some participants have offered insights into the nature of the summation and its relationship to harmonic series, while others are seeking clarification and alternative approaches. There is a sense of collaboration as participants encourage each other to explore the problem further.

Contextual Notes

Participants note the constraints of homework rules, indicating that sharing complete methods or solutions is not permitted until work is submitted for marking. There is also a recognition of the complexity of the problem, with some expressing that it may not be as tricky as it seems.

Onezimo Cardoso

Homework Statement


Prove that \lim_{n \to \infty} \displaystyle \sum_{i=1}^{n} \frac{1}{n+i} = log(2).

Homework Equations


[/B]
The Digamma Function \Psi(x) can be written as:

\Psi (x) = \frac{d}{dx} \log(\Gamma(x))

Or, equivalently, as

\Psi(x)=\displaystyle \sum_{l=1}^{k} \frac{1}{x-l}+\Psi(x-k)

The Attempt at a Solution


I tried to put in Wolfram in order to get some hint about this problem and it showed that:

\displaystyle \sum_{i=1}^{n} \frac{1}{n+i} = \Psi(n+(i+1))-\Psi(1+i)

Where \Psi (x) = \frac{d}{dx} \log(\Gamma(x)) is the digamma function as described in Relevant equations.
 
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Onezimo Cardoso said:

Homework Statement


Prove that \lim_{n \to \infty} \displaystyle \sum_{i=1}^{n} \frac{1}{n+i} = log(2).

Homework Equations


[/B]
The Digamma Function \Psi(x) can be written as:

\Psi (x) = \frac{d}{dx} \log(\Gamma(x))

Or, equivalently, as

\Psi(x)=\displaystyle \sum_{l=1}^{k} \frac{1}{x-l}+\Psi(x-k)

The Attempt at a Solution


I tried to put in Wolfram in order to get some hint about this problem and it showed that:

\displaystyle \sum_{i=1}^{n} \frac{1}{n+i} = \Psi(n+(i+1))-\Psi(1+i)

i occurs as a summation index on the left. It therefore cannot appear as part of the result of doing the sum. So something is not correct here.

Where \Psi (x) = \frac{d}{dx} \log(\Gamma(x)) is the digamma function as described in Relevant equations.

The digamma function is defined in terms of the gamma function, which is the function which satisfies the recurrence relation <br /> \Gamma(z + 1) = z \Gamma (z) subject to \Gamma (1) = 1.
 
Last edited:
Onezimo Cardoso said:

Homework Statement


Prove that \lim_{n \to \infty} \displaystyle \sum_{i=1}^{n} \frac{1}{n+i} = log(2).

Homework Equations


[/B]
The Digamma Function \Psi(x) can be written as:

\Psi (x) = \frac{d}{dx} \log(\Gamma(x))

Or, equivalently, as

\Psi(x)=\displaystyle \sum_{l=1}^{k} \frac{1}{x-l}+\Psi(x-k)

The Attempt at a Solution


I tried to put in Wolfram in order to get some hint about this problem and it showed that:

\displaystyle \sum_{i=1}^{n} \frac{1}{n+i} = \Psi(n+(i+1))-\Psi(1+i)

Where \Psi (x) = \frac{d}{dx} \log(\Gamma(x)) is the digamma function as described in Relevant equations.

No: Wolfram Alpha did not show ##\sum_{i=1}^n 1/(n+i) = \Psi (n+i-1) - \Psi (i+1)##. WA is smart enough to know that a summation over all ##i## from 1 to ##n## cannot contain ##i## in its answer!

Anyway, getting the exact answer like that is not very useful. Another, much, much simpler method gets to the answer quickly and easily; unfortunately, the merest hint of how it works will immediately give away the whole answer.
 
Onezimo Cardoso said:

Homework Statement


Prove that \lim_{n \to \infty} \displaystyle \sum_{i=1}^{n} \frac{1}{n+i} = log(2).

Homework Equations


[/B]
The Digamma Function \Psi(x) can be written as:

\Psi (x) = \frac{d}{dx} \log(\Gamma(x))

Or, equivalently, as

\Psi(x)=\displaystyle \sum_{l=1}^{k} \frac{1}{x-l}+\Psi(x-k)

The Attempt at a Solution


I tried to put in Wolfram in order to get some hint about this problem and it showed that:

\displaystyle \sum_{i=1}^{n} \frac{1}{n+i} = \Psi(n+(i+1))-\Psi(1+i)

Where \Psi (x) = \frac{d}{dx} \log(\Gamma(x)) is the digamma function as described in Relevant equations.

That Wolfram result doesn't actually make sense, because there shouldn't be any i in the result: i is a dummy variable.

Just playing around, we can write the original series in this way:

\displaystyle \sum_{i=1}^n \frac{1}{n+i} = \displaystyle \sum_{i=n+1}^{2n} \frac{1}{i} = \displaystyle \sum_{i=1}^{2n} \frac{1}{i} - \displaystyle \sum_{i=1}^{n} \frac{1}{i}

The harmonic series is defined by: H_n = \displaystyle \sum_{i=1}^n \frac{1}{i}, so we can write the sum as:

\displaystyle \sum_{i=1}^n \frac{1}{n+i} = H_{2n} - H_{n}At this point, it seems that you could just use the asymptotic form of H_n for large n.
 
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stevendaryl said:
That Wolfram result doesn't actually make sense, because there shouldn't be any i in the result: i is a dummy variable.

Just playing around, we can write the original series in this way:

\displaystyle \sum_{i=1}^n \frac{1}{n+i} = \displaystyle \sum_{i=n+1}^{2n} \frac{1}{i} = \displaystyle \sum_{i=1}^{2n} \frac{1}{i} - \displaystyle \sum_{i=1}^{n} \frac{1}{i}

The harmonic series is defined by: H_n = \displaystyle \sum_{i=1}^n \frac{1}{i}, so we can write the sum as:

\displaystyle \sum_{i=1}^n \frac{1}{n+i} = H_{2n} - H_{n}At this point, it seems that you could just use the asymptotic form of H_n for large n.

Very impressive view stevendaryl!

I’m trying to use different approaches to see this tricky result. By what you see I could, at least, make an algorithm in C language to check if it really converges to log(2) = 0.69314718 :

upload_2017-8-6_15-19-3.png
 
Onezimo Cardoso said:
Very impressive view stevendaryl!

I’m trying to use different approaches to see this tricky result. By what you see I could, at least, make an algorithm in C language to check if it really converges to log(2) = 0.69314718 :

View attachment 208443
Onezimo Cardoso said:
Very impressive view stevendaryl!

I’m trying to use different approaches to see this tricky result. By what you see I could, at least, make an algorithm in C language to check if it really converges to log(2) = 0.69314718 :

View attachment 208443

If you look at it the right way it is not tricky at all, and can be done without any use of a computer, or calculator, or anything.

Once you have assured me that you have turned in the work for marking, I will be happy to post the method. You will kick yourself once you see it!
 
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Ray Vickson said:
If you look at it the right way it is not tricky at all, and can be done without any use of a computer, or calculator, or anything.

Once you have assured me that you have turned in the work for marking, I will be happy to post the method. You will kick yourself once you see it!

Actually I’m still trying to see a way to find out this result and I’m doing my best to research in different sources. But you can feel free to send the method as well as the Liu Kang to kick myself =)
 
Onezimo Cardoso said:
Actually I’m still trying to see a way to find out this result and I’m doing my best to research in different sources. But you can feel free to send the method as well as the Liu Kang to kick myself =)

I cannot send the method as long as the work has not yet been turned for marking. That would be against the PF rules.
 
@Ray Vickson: I don't think giving the hint of thinking about an approximating sum to an integral is too much of a hint.
 

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