Understanding the Taylor Series of e^x/(x-1)

In summary, the problem asks for the coefficients of series that are obtained by dividing a polynomial by another series. The problem is stated in a somewhat difficult way, so it may be helpful to think of a polynomial as a series where all but a finite number of terms vanish. To solve for the coefficients of the series obtained in this fashion, one needs to know that the series is given by its Taylor series in a neighborhood of zero.
  • #1
Shoelace Thm.
60
0

Homework Statement


Let [itex] g(x) = \frac{x}{e^x - 1} = \sum_{n=0}^{\infty} \frac{B_n}{n!} x^n[/itex] be the taylor series for g about 0. Show B_0 = 1 and [itex] \sum_{k=0}^{n} \binom{n+1}{k} B_k = 0 [/itex].

Homework Equations


The Attempt at a Solution


[itex] g(x) = \sum_{n=0}^{\infty} \frac{g^{(n)}(0)}{n!} x^n [/itex], but [itex] g^{(n)}(0) [/itex] is always undefined at 0. So I don't see how any of these relations can hold.
 
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  • #2
Does anyone have any suggestions?
 
  • #3
l'Hôpital? :wink:
 
  • #4
Shoelace Thm. said:

Homework Statement


Let [itex] g(x) = \frac{x}{e^x - 1} = \sum_{n=0}^{\infty} \frac{B_n}{n!} x^n[/itex] be the taylor series for g about 0. Show B_0 = 1 and [itex] \sum_{k=0}^{n} \binom{n+1}{k} B_k = 0 [/itex].


Homework Equations





The Attempt at a Solution


[itex] g(x) = \sum_{n=0}^{\infty} \frac{g^{(n)}(0)}{n!} x^n [/itex], but [itex] g^{(n)}(0) [/itex] is always undefined at 0. So I don't see how any of these relations can hold.
You can get the first part pretty easily by long division of x by ex - 1 (= x + x2/2! + x3/3! + ... + xn/n! + ...).
 
  • #5
That's true, but that's not very rigorous as it stands. What allows you to obtain series by dividing a polynomial by another series? Furthermore, how can you prove that the nth coefficient of the series obtained in this fashion is B_n for all n? This seems difficult to accomplish.
 
  • #6
Shoelace Thm. said:
That's true, but that's not very rigorous as it stands.
Sure it is.
Shoelace Thm. said:
What allows you to obtain series by dividing a polynomial by another series?
There's not just one way to obtain a series. For example, the Maclaurin series for 1/(1 - x) is frequently obtained by long division.
Shoelace Thm. said:
Furthermore, how can you prove that the nth coefficient of the series obtained in this fashion is B_n for all n?
The coefficient of the nth term is Bn, pretty much by definition. What you need to prove is that $$\sum_{k=0}^{n} \binom{n+1}{k} B_k = 0 $$
Shoelace Thm. said:
This seems difficult to accomplish.
Well, maybe, but what I've suggested is what I would try.
 
  • #7
Shoelace Thm. said:
That's true, but that's not very rigorous as it stands. What allows you to obtain series by dividing a polynomial by another series? Furthermore, how can you prove that the nth coefficient of the series obtained in this fashion is B_n for all n? This seems difficult to accomplish.
Do you know about absolute convergence and its implication for the multiplication and division of series?
 
  • #8
Do you know about absolute convergence and its implication for the multiplication and division of series?

Yes, but here it is not a series being divided by a polynomial, but the other way around. I have not really encountered this before, so I suppose the complete answer to your question is no.

The coefficient of the nth term is Bn, pretty much by definition. What you need to prove is that [tex] \sum_{k=0}^{n} \binom{n+1}{k} B_k = 0 [/tex]

I really don't see a good way of doing this. What we are obtaining through this division is some series for which a general term for B_n is not known (and I don't think there is some simple formula, after writing out the first few terms).
 
  • #9
You can think of a polynomial as a series where all but a finite number of terms vanish.
 
  • #10
Ok; do you have any suggestions for proving the second query?
 
  • #11
Start with
$$\frac{x}{e^x-1} = \frac{1}{\frac{e^x-1}{x}}.$$ Then convert the problem into one of multiplying two series. It works out pretty easily. You don't need to solve for the ##B_k##'s explicitly.
 
  • #12
Alright its simple enough. On a side note (although it is not necessary because it is given in the problem statement), if we were not given that g was given by its taylor series in a neighborhood of zero, how to prove that it is? The series manipulations require us knowing g is given by its Taylor series.
 
  • #13
Any thoughts?
 

FAQ: Understanding the Taylor Series of e^x/(x-1)

What is a Taylor series?

A Taylor series is a mathematical representation of a function as an infinite sum of terms. It is used to approximate the value of a function at a specific point by using a polynomial with an infinite number of terms.

Why is the Taylor series important?

The Taylor series is important because it allows us to approximate complicated functions with simpler polynomials. This is useful in many areas of science and engineering, including physics, economics, and computer graphics.

How is the Taylor series of e^x/(x-1) derived?

The Taylor series of e^x/(x-1) is derived by using the general formula for a Taylor series: f(x) = f(a) + f'(a)(x-a) + f''(a)(x-a)^2/2! + f'''(a)(x-a)^3/3! + ..., where f(x) is the function, a is the point of expansion, and f'(a), f''(a), etc. are the derivatives of the function evaluated at a. By finding the derivatives of e^x/(x-1) and evaluating them at a=0, we can obtain the Taylor series of the function.

What is the interval of convergence for the Taylor series of e^x/(x-1)?

The interval of convergence for the Taylor series of e^x/(x-1) is -1 < x < 1. This means that the series will only converge for values of x within this interval. For values outside of this interval, the series will diverge and will not accurately approximate the function.

How accurate is the Taylor series approximation of e^x/(x-1)?

The accuracy of the Taylor series approximation of e^x/(x-1) depends on the number of terms used in the series. The more terms that are included, the closer the approximation will be to the actual function. However, as the number of terms approaches infinity, the series will converge and will be an exact representation of the function. Generally, using a larger number of terms will result in a more accurate approximation.

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