General formula for the sum of a finite power series

In summary, there is a general way to find the sum of a finite power series, but it is complicated and involves recursive formulas. This is known as Faulhaber's formula and can be used to find the sum by using the exponent and number of terms in the series. It is not necessary to use the binomial expansion to find the sum.
  • #1
mjpam
79
0
I was wondering if there was a general way to find the sum of a finite power series:

[tex]\sum_{n=1}^{N}{n^{m}}[/tex]

where [itex]m[/itex] is a fixed integer.

Now, there is some math folklore that a seven- (or ten-)year-old Gauss solved the [itex]m=1,\;N=100[/itex] case by realizing that by reversing the series and summing the respective terms in the each series, he got 101 added together 100 time so that all he had to do the get the sum of the original series was to divide by 2.

Symbolically and more generally the procedure is:

[tex]\sum_{n=1}^{N}n=\underset{\textup{N terms}}{\underbrace{1+2+\cdots+(N-1)+N}}[/tex]
[tex]\sum_{n=1}^{N}n=\underset{\textup{N terms}}{\underbrace{N+(N-1)+\cdots+2+1}}[/tex]
[tex]2\sum_{n=1}^{N}n=(N+1)+((N-1)+2)+\cdots+(2+(N-1))+(1+N)[/tex]
[tex]2\sum_{n=1}^{N}n=(N+1)+(N+1)+\cdots+(N+1)+(N+1)[/tex]
[tex]2\sum_{n=1}^{N}n=N(N+1)[/tex]
[tex]\sum_{n=1}^{N}n=\frac{N(N+1)}{2}[/tex]

Now this reduce to a relatively simple formula because each of the respective terms in the forward and backward series sums to the same value. This is however not the case with the general power series:

[tex]\sum_{n=1}^{N}n^{m}=\underset{\textup{N terms}}{\underbrace{1^{m}+2^{m}+\cdots+(N-1)^{m}+N^{m}}}[/tex]
[tex]\sum_{n=1}^{N}n^{m}=\underset{\textup{N terms}}{\underbrace{N^{m}+(N-1)^{m}+\cdots+2^{m}+1^{m}}}[/tex]
[tex]2\sum_{n=1}^{N}n^{m}=(N^{m}+1^{m})+((N-1)^{m}+2^{m})+\cdots+(2^{m}+(N-1)^{m})+(1^{m}+N^{m})}[/tex]

Is the a way to express the sum of a general finite power series in terms of the exponent and the number of terms in the series? DO you have to use the binomial expansion?
 
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  • #2
Yes, there is, but it's complicated. This is how you find it recursively:

Let [tex]S(n,m) = \sum^n_{k=1} k^m[/tex].

Then
[tex](n+1)^m = S(n+1,m)-S(n,m) = \sum^{n+1}_{k=1} k^m - \sum^n_{k=1} k^m = 1+\sum^n_{k=1} (k+1)^m-k^m = 1+\sum^n_{k=1} \sum^{m-1}_{r=0} {m \choose r} k^r = 1+ \sum^{m-1}_{r=0} {m \choose r} \sum^n_{k=1} k^r = 1+ \sum^{m-1}_{r=0} {m \choose r} S(n,r)[/tex]

so [tex]S(n,m-1) = \frac{(n+1)^m-1-\sum^{m-2}_{r=0}{m \choose r} S(n,r)}{m}[/tex]

i.e. [tex]S(n,m) = \frac{(n+1)^{m+1}-1-\sum^{m-1}_{r=0}{m+1 \choose r} S(n,r)}{m+1}[/tex]


For [tex]m \geq 1[/tex].

The formula itself is not easy to derive, but this is it: http://en.wikipedia.org/wiki/Faulhaber's_formula

So you have a closed form formula for the sum.
 

What is the general formula for the sum of a finite power series?

The general formula for the sum of a finite power series is given by:
Sn = a0 + a1x + a2x2 + a3x3 + ... + anxn,
where Sn represents the sum of the first n terms of the series, ai represents the coefficients, and x represents the variable.

How do I find the value of a specific term in a power series?

To find the value of a specific term in a power series, you can use the formula:
tn = anxn,
where tn represents the value of the nth term in the series, and an represents the coefficient of that term.

Can I use the general formula for the sum of a finite power series for any type of series?

The general formula for the sum of a finite power series can only be used for power series, where the terms are of the form xn. It cannot be applied to other types of series, such as geometric or arithmetic series.

How do I know if a power series is convergent or divergent?

A power series is convergent if the limit of the terms approaches a finite value as n approaches infinity. This can be determined using tests such as the Ratio Test or the Root Test. If the limit does not approach a finite value, then the series is divergent.

Are there any real-world applications of the general formula for the sum of a finite power series?

Yes, the general formula for the sum of a finite power series has many real-world applications, such as in physics, engineering, and economics. It can be used to model various phenomena, such as the growth rate of a population or the value of an investment over time.

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