General formula for the sum of a finite power series

Click For Summary
SUMMARY

The discussion focuses on deriving a general formula for the sum of a finite power series, specifically the expression \(\sum_{n=1}^{N} n^{m}\) where \(m\) is a fixed integer. The conversation references Gauss's method for the case when \(m=1\) and \(N=100\), leading to the formula \(\sum_{n=1}^{N} n = \frac{N(N+1)}{2}\). For higher powers, the discussion introduces a recursive approach to express the sum in terms of the exponent and the number of terms, culminating in the formula provided by Faulhaber's formula, which is detailed on Wikipedia.

PREREQUISITES
  • Understanding of finite power series
  • Familiarity with recursive functions
  • Knowledge of binomial coefficients
  • Basic calculus concepts related to summation
NEXT STEPS
  • Study Faulhaber's formula for closed-form expressions of power sums
  • Learn about recursive sequences and their applications in summation
  • Explore binomial expansion and its role in deriving power series sums
  • Investigate mathematical induction as a method for proving summation formulas
USEFUL FOR

Mathematicians, educators, and students interested in advanced summation techniques and power series analysis will benefit from this discussion.

mjpam
Messages
79
Reaction score
0
I was wondering if there was a general way to find the sum of a finite power series:

\sum_{n=1}^{N}{n^{m}}

where m is a fixed integer.

Now, there is some math folklore that a seven- (or ten-)year-old Gauss solved the m=1,\;N=100 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:

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

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:

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

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?
 
Mathematics news on Phys.org
Yes, there is, but it's complicated. This is how you find it recursively:

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

Then
(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)

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

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


For m \geq 1.

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.
 

Similar threads

  • · Replies 9 ·
Replies
9
Views
2K
  • · Replies 4 ·
Replies
4
Views
3K
  • · Replies 7 ·
Replies
7
Views
2K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 6 ·
Replies
6
Views
3K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 3 ·
Replies
3
Views
1K
  • · Replies 16 ·
Replies
16
Views
3K
  • · Replies 1 ·
Replies
1
Views
2K