Finding the Nth Term in a Series with Different Factors

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Discussion Overview

The discussion revolves around finding an expression for the nth term in a series defined by a recursive relationship involving factorials. Participants explore various mathematical approaches and connections to other series, including the Riemann zeta function and Fourier series.

Discussion Character

  • Exploratory
  • Mathematical reasoning
  • Technical explanation

Main Points Raised

  • One participant presents a recursive formula for the series, noting the complexity due to different factors in each term.
  • Another participant corrects a notation error in the original post and suggests a connection to the series involving Bernoulli numbers.
  • A third participant states a known result regarding the sum of the series, asking if there is a specific value of k to evaluate.
  • One participant describes using Fourier series to derive an explicit formula, mentioning complications arising from integrating constants that depend on previous iterations.
  • Another participant proposes a method involving power series and the inverse of a function to potentially simplify the identification of coefficients.

Areas of Agreement / Disagreement

Participants express various approaches and ideas, but there is no consensus on a definitive method or solution for the nth term of the series. Multiple competing views and methods remain present in the discussion.

Contextual Notes

Some participants reference advanced mathematical concepts, such as Fourier series and Bernoulli numbers, which may introduce additional assumptions or dependencies that are not fully resolved in the discussion.

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I'm trying to get an expression for the nth term in this series:

[tex]c_1 = 1[/tex]

[tex]c_n = \sum_{k=1}^{n-1} \frac{c_n}{(n-k)!}[/tex]

For example:

[tex]c_2 = 1/1! = 1[/tex]

[tex]c_3 = 1/2! +1/1! = 3/2[/tex]

[tex]c_4 = 1/3! + 1/2! + 3/(2\cdot 1!) = 13/6[/tex]

etc.

Since the factor in front of each term is different in each series, you can't express [itex]c_n[/itex] just in terms of [itex]c_{n-1}[/itex]. I have no idea how to start.
 
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First, that is supposed to be ck inside the sum. It's too late to edit it.

Is no one replying because this is too hard or too easy? If it helps, this was found when I was trying to derive a formula for

[tex]\sum_{n=1}^{\infty} \frac{1}{n^{2k}}[/tex]

I know this involves the Bernoulli numbers, so maybe they are involved in the series from my first post.
 
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I was using Fourier series to find an explicit formula. Namely, I started with a sawtooth wave with Fourier coefficients proportional to 1/n. Then I normalized it so the integral over one period was one, which meant that:

[tex]\sum_{n=1}^{\infty} |c_n|^2 = 1[/tex]

From which I got the first sum (k=1). Then I integrated to get a series with 1/n2,l fixed the constant so there were only sinusoidal terms in the Fourier series, and renormalized. I correctly got the formula for k = 1, 2, and 3. Then trying to find the general form, which is made complicated by the integrating constants that depend on the constants from previous iterations, I ran into a series very similar to the one from the first post. I was just curious if there is a closed form for that expression, or if you have to resort to more complicated methods.
 
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Maybe this will help, although I don't surely know cause I haven't tried it yet, but I recall a method I used to solve a similar problem once.

Set:

[tex]f(x) := c_1 + c_2x + c_3x^2 + c_4x^3 + c_5x^4 + ...[/tex]

where [tex]c_k[/tex] are the co-efficients you originally defined.


Then expand the inverse of [tex]f(x)[/tex] as a power series, call this new power series [tex]g(x)[/tex], say. I'm assuming the co-efficients of [tex]g(x)[/tex] might be easier to recognise. If you have maple or mathematica this can be easily done.

Then the [tex]c_n[/tex] co-efficients of [tex]f(x)[/tex] can be calculated by knowing the n'th derivative of [tex]1/g(x)[/tex] , evaluated at the point zero.

If you can calculate it, I'd be interested to know what the power series of [tex]g(x)[/tex] is.
 
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