- Cauchy product
-
In mathematics, the Cauchy product, named after Augustin Louis Cauchy, of two sequences
,
, is the discrete convolution of the two sequences, the sequence
whose general term is given by
In other words, it is the sequence whose associated formal power series
is the product of the two series similarly associated to
and
.
Contents
Series
A particularly important example is to consider the sequences
to be terms of two strictly formal (not necessarily convergent) series
usually, of real or complex numbers. Then the Cauchy product is defined by a discrete convolution as follows.
for n = 0, 1, 2, ...
"Formal" means we are manipulating series in disregard of any questions of convergence. These need not be convergent series. See in particular formal power series.
One hopes, by analogy with finite sums, that in cases in which the two series do actually converge, the sum of the infinite series
is equal to the product
just as would work when each of the two sums being multiplied has only finitely many terms. This is not true in general, but see Mertens' Theorem and Cesàro's theorem below for some special cases.
Convergence and Mertens' theorem
Let
and
be real sequences. It was proved by Franz Mertens that if the series
converges to B and the series
converges absolutely to A then their Cauchy product converges to AB. It is not sufficient for both series to be conditionally convergent. For example, the sequences
are conditionally convergent but their Cauchy product does not converge.
Proof of Mertens' theorem
Let
,
and
denote the partial sums
Then
by rearrangement. So
Fix ε > 0. Since
is absolutely convergent and
is convergent then there exists an integer N such that for all
we have
and an integer M such that for all
it holds that
(since the series converges, the sequence must converge to 0). Also, there exists an integer L such that if
then
.
Therefore for
we have
By the definition of convergence of a series
as required.
Examples
Finite series
Suppose
for all i > n and
for all
m" border="0">. Here the Cauchy product of
and
is readily verified to be
. Therefore, for finite series (which are finite sums), Cauchy multiplication is direct multiplication of those series.
Infinite series
- For some
, let
and
. Then
by definition and the binomial formula. Since, formally,
and
, we have shown that
. Since the limit of the Cauchy product of two absolutely convergent series is equal to the product of the limits of those series, we have proven the formula
for all
.
- As a second example, let
for all
. Then
for all
so the Cauchy product
does not converge.
Cesàro's theorem
In cases where the two sequences are convergent but not absolutely convergent, the Cauchy product is still Cesàro summable. Specifically:
If
,
are real sequences with
and
then
This can be generalised to the case where the two sequences are not convergent but just Cesàro summable:
Theorem
For
1" border="0"> and
1" border="0">, suppose the sequence
is
summable with sum A and
is
summable with sum B. Then their Cauchy product is
summable with sum AB.
Generalizations
All of the foregoing applies to sequences in
(complex numbers). The Cauchy product can be defined for series in the
spaces (Euclidean spaces) where multiplication is the inner product. In this case, we have the result that if two series converge absolutely then their Cauchy product converges absolutely to the inner product of the limits.
Relation to convolution of functions
One can also define the Cauchy product of doubly infinite sequences, thought of as functions on
. In this case the Cauchy product is not always defined: for instance, the Cauchy product of the constant sequence 1 with itself,
is not defined. This doesn't arise for singly infinite sequences, as these have only finite sums.
One has some pairings, for instance the product of a finite sequence with any sequence, and the product
. This is related to duality of Lp spaces.
References
- Apostol, Tom M. (1974), Mathematical Analysis (2nd ed.), Addison Wesley, p. 204, ISBN 978-0201002881
- Hardy, G. H. (1949), Divergent Series, Oxford University Press, p. 227–229
Categories:- Real analysis
- Complex analysis
- Sequences and series
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