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{{Redirect|Abel transformation|another transformation|Abel transform}}
 
In [[mathematics]], '''summation by parts''' transforms the [[summation]] of products of [[sequences]] into other summations, often simplifying the computation or (especially) estimation of certain types of sums. The summation by parts formula is sometimes called '''[[Niels Henrik Abel|Abel's]] lemma''' or '''Abel transformation'''.
 
==Statement==
Suppose <math>\{f_k\}</math> and <math>\{g_k\}</math> are two [[sequence]]s. Then,
:<math>\sum_{k=m}^n f_k(g_{k+1}-g_k) = \left[f_{n+1}g_{n+1} - f_m g_m\right] - \sum_{k=m}^n g_{k+1}(f_{k+1}- f_k).</math>
 
Using the [[forward difference operator]] <math>\Delta</math>, it can be stated more succinctly as
 
:<math>\sum_{k=m}^n f_k\Delta g_k = \left[f_{n+1} g_{n+1} - f_m g_m\right] - \sum_{k=m}^n g_{k+1}\Delta f_k,</math>
 
Note that summation by parts is an analogue to the [[integration by parts]] formula,
:<math>\int f\,dg = f g - \int g\,df.</math>
 
Note also that although applications almost always deal with convergence of sequences, the statement is purely algebraic and will work in any [[Field (mathematics)|field]].  It will also work when one sequence is in a [[vector space]], and the other is in the relevant field of scalars.
 
==Newton series==
The formula is sometimes given in one of these - slightly different - forms
 
:<math>\begin{align}
\sum_{k=0}^n f_k g_k &= f_0 \sum_{k=0}^n g_k+ \sum_{j=0}^{n-1} (f_{j+1}-f_j) \sum_{k=j+1}^n g_k\\
&= f_n \sum_{k=0}^n g_k - \sum_{j=0}^{n-1} \left( f_{j+1}- f_j\right) \sum_{k=0}^j g_k,  
\end{align}</math>
 
which represent a special cases (<math>M=1</math>) of the more general rule
 
:<math>\begin{align}\sum_{k=0}^n f_k g_k &= \sum_{i=0}^{M-1} f_0^{(i)} G_{i}^{(i+1)}+ \sum_{j=0}^{n-M} f^{(M)}_{j} G_{j+M}^{(M)}=\\
&= \sum_{i=0}^{M-1} \left( -1 \right)^i f_{n-i}^{(i)} \tilde{G}_{n-i}^{(i+1)}+ \left( -1 \right) ^{M} \sum_{j=0}^{n-M} f_j^{(M)} \tilde{G}_j^{(M)};\end{align}</math>
 
both result from iterated application of the initial formula. The auxiliary quantities are [[Newton series]]:
 
:<math>f_j^{(M)}:= \sum_{k=0}^M \left(-1 \right)^{M-k} {M \choose k} f_{j+k}</math>
and
:<math>G_j^{(M)}:= \sum_{k=j}^n {k-j+M-1 \choose M-1} g_k,</math>
:<math>\tilde{G}_j^{(M)}:= \sum_{k=0}^j {j-k+M-1 \choose M-1} g_k.</math>
 
A remarkable, particular (<math>M=n+1</math>) result is the noteworthy identity
:<math>\sum_{k=0}^n f_k g_k = \sum_{i=0}^n f_0^{(i)} G_i^{(i+1)} = \sum_{i=0}^n (-1)^i f_{n-i}^{(i)} \tilde{G}_{n-i}^{(i+1)}.</math>
 
Here, <math>{n \choose k}</math> is the [[binomial coefficient]].
 
==Method==
 
For two given sequences <math>(a_n) \,</math> and <math>(b_n) \,</math>, with <math>n \in \N</math>, one wants to study the sum of the following series:<br>
<math>S_N = \sum_{n=0}^N a_n b_n</math>
 
If we define <math>B_n = \sum_{k=0}^n b_k,</math>&nbsp;
then for every <math>n>0, \,</math>&nbsp; <math>b_n = B_n - B_{n-1} \,</math>&nbsp; and
 
:<math>S_N = a_0 b_0 + \sum_{n=1}^N a_n (B_n - B_{n-1}),</math>
 
:<math>S_N = a_0 b_0 - a_1 B_0 + a_N B_N + \sum_{n=1}^{N-1} B_n (a_n - a_{n+1}).</math>
 
Finally&nbsp; <math>S_N = a_N B_N - \sum_{n=0}^{N-1} B_n (a_{n+1} - a_n).</math>
 
This process, called an Abel transformation, can be used to prove several criteria of convergence for <math>S_N \,</math> .
 
==Similarity with an integration by parts==
 
The formula for an integration by parts is <math>\int_a^b f(x) g'(x)\,dx = \left[ f(x) g(x) \right]_{a}^{b} - \int_a^b  f'(x) g(x)\,dx</math><br>
Beside the [[boundary conditions]], we notice that the first integral contains two multiplied functions, one which is integrated in the final integral ( <math>g' \,</math> becomes <math>g \,</math> ) and one which is differentiated ( <math>f \,</math> becomes <math>f' \,</math> ).
 
The process of the ''Abel transformation'' is similar, since one of the two initial sequences is summed ( <math>b_n \,</math> becomes <math>B_n \,</math> ) and the other one is differenced ( <math>a_n \,</math> becomes <math>a_{n+1} - a_n \,</math> ).
 
==Applications==
 
* Summation by parts is frequently used to prove [[Abel's theorem]].
 
* If <math>\sum b_n</math> is a [[convergent series]], and <math>a_n</math> a [[monotone sequence]] decreasing to zero, then <math>S_N = \sum_{n=0}^N a_n b_n</math> remains a convergent series.
 
The [[Cauchy criterion]] gives <math>S_M - S_N = a_M B_M - a_N B_N + \sum_{n=N}^{M-1} B_n (a_{n+1} - a_n) </math>.
 
As <math>\sum b_n</math> is convergent, <math>B_N</math> is bounded independently of <math>N</math>, say by <math>B</math>. As <math>a_n</math> go to zero, so go the first two terms. The remaining sum is bounded by
 
: <math>\sum_{n=N}^{M-1} |B_n| |a_{n+1}-a_n| \le B \sum_{n=N}^{M-1} |a_{n+1}-a_n| = B(a_N - a_M)</math>
 
by the monotonicity of <math>a_n</math>, and also goes to zero as <math>N \to \infty</math>.
 
* Using the same proof as above, one shows that
# if the partial sums <math>B_N</math> remain [[bounded]] independently of <math>N</math> ;
# if <math>\sum_{n=0}^\infty |a_{n+1} - a_n| < \infty</math> (so that the sum <math>\sum_{n=N}^{M-1} |a_{n+1}-a_n|</math> goes to zero as <math>N</math> goes to infinity) ; and
# if <math>\lim a_n = 0</math>
then <math>S_N = \sum_{n=0}^N a_n b_n</math> is a convergent series.
 
In both cases, the sum of the series verifies:
<math> |S| = \left|\sum_{n=0}^\infty a_n b_n \right| \le B \sum_{n=0}^\infty |a_{n+1}-a_n|</math>
 
==See also==
*[[Convergent series]]
*[[Divergent series]]
*[[Integration by parts]]
*[[Cesàro summation]]
*[[Abel's theorem]]
*[[Abel's summation formula|Abel sum formula]]
 
==References==
*{{planetmathref|id=3843|title=Abel's lemma}}
 
[[Category:Summability methods]]
[[Category:Real analysis]]
[[Category:Lemmas]]

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In mathematics, summation by parts transforms the summation of products of sequences into other summations, often simplifying the computation or (especially) estimation of certain types of sums. The summation by parts formula is sometimes called Abel's lemma or Abel transformation.

Statement

Suppose and are two sequences. Then,

Using the forward difference operator , it can be stated more succinctly as

Note that summation by parts is an analogue to the integration by parts formula,

Note also that although applications almost always deal with convergence of sequences, the statement is purely algebraic and will work in any field. It will also work when one sequence is in a vector space, and the other is in the relevant field of scalars.

Newton series

The formula is sometimes given in one of these - slightly different - forms

which represent a special cases () of the more general rule

both result from iterated application of the initial formula. The auxiliary quantities are Newton series:

and

A remarkable, particular () result is the noteworthy identity

Here, is the binomial coefficient.

Method

For two given sequences and , with , one wants to study the sum of the following series:

If we define   then for every     and

Finally 

This process, called an Abel transformation, can be used to prove several criteria of convergence for .

Similarity with an integration by parts

The formula for an integration by parts is
Beside the boundary conditions, we notice that the first integral contains two multiplied functions, one which is integrated in the final integral ( becomes ) and one which is differentiated ( becomes ).

The process of the Abel transformation is similar, since one of the two initial sequences is summed ( becomes ) and the other one is differenced ( becomes ).

Applications

The Cauchy criterion gives .

As is convergent, is bounded independently of , say by . As go to zero, so go the first two terms. The remaining sum is bounded by

by the monotonicity of , and also goes to zero as .

  • Using the same proof as above, one shows that
  1. if the partial sums remain bounded independently of  ;
  2. if (so that the sum goes to zero as goes to infinity) ; and
  3. if

then is a convergent series.

In both cases, the sum of the series verifies:

See also

References