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Sequence Transformation

Sequence transformation is an operator that acts on sequences to improve convergence rates or compute antilimits of divergent series. Common examples include linear transformations like convolution and resummation. Nonlinear transformations can also be used, such as Aitken's delta-squared process. Sequence transformations are tools for accelerating convergence or extrapolating divergent series.

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0% found this document useful (0 votes)
99 views2 pages

Sequence Transformation

Sequence transformation is an operator that acts on sequences to improve convergence rates or compute antilimits of divergent series. Common examples include linear transformations like convolution and resummation. Nonlinear transformations can also be used, such as Aitken's delta-squared process. Sequence transformations are tools for accelerating convergence or extrapolating divergent series.

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Sequence transformation

In mathematics, a sequence transformation is an operator acting on a given space of sequences (a


sequence space). Sequence transformations include linear mappings such as convolution with another
sequence, and resummation of a sequence and, more generally, are commonly used for series acceleration,
that is, for improving the rate of convergence of a slowly convergent sequence or series. Sequence
transformations are also commonly used to compute the antilimit of a divergent series numerically, and are
used in conjunction with extrapolation methods.

Overview
Classical examples for sequence transformations include the binomial transform, Möbius transform, Stirling
transform and others.

Definitions
For a given sequence

the transformed sequence is

where the members of the transformed sequence are usually computed from some finite number of
members of the original sequence, i.e.

for some which often depends on (cf. e.g. Binomial transform). In the simplest case, the and the
are real or complex numbers. More generally, they may be elements of some vector space or algebra.

In the context of acceleration of convergence, the transformed sequence is said to converge faster than the
original sequence if

where is the limit of , assumed to be convergent. In this case, convergence acceleration is obtained. If
the original sequence is divergent, the sequence transformation acts as extrapolation method to the antilimit
.

If the mapping is linear in each of its arguments, i.e., for


for some constants (which may depend on n), the sequence transformation is called a linear
sequence transformation. Sequence transformations that are not linear are called nonlinear sequence
transformations.

Examples
Simplest examples of (linear) sequence transformations include shifting all elements, (resp. = 0
if n + k < 0) for a fixed k, and scalar multiplication of the sequence.

A less trivial example would be the discrete convolution with a fixed sequence. A particularly basic form is
the difference operator, which is convolution with the sequence and is a discrete analog of
the derivative. The binomial transform is another linear transformation of a still more general type.

An example of a nonlinear sequence transformation is Aitken's delta-squared process, used to improve the
rate of convergence of a slowly convergent sequence. An extended form of this is the Shanks
transformation. The Möbius transform is also a nonlinear transformation, only possible for integer
sequences.

See also
Aitken's delta-squared process
Minimum polynomial extrapolation
Richardson extrapolation
Series acceleration
Steffensen's method

References
Hugh J. Hamilton, "Mertens' Theorem and Sequence Transformations (http://www.ams.org/b
ull/1947-53-08/S0002-9904-1947-08882-0/S0002-9904-1947-08882-0.pdf)", AMS (1947)

External links
Transformations of Integer Sequences (http://oeis.org/transforms.html), a subpage of the On-
Line Encyclopedia of Integer Sequences

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