The binomial transform, T, of a sequence,, is the sequence defined by Formally, one may write for the transformation, where T is an infinite-dimensional operator with matrix elements Tnk. The transform is an involution, that is, or, using index notation, where is the Kronecker delta. The original series can be regained by The binomial transform of a sequence is just the nth forward differences of the sequence, with odd differences carrying a negative sign, namely: where Δ is the forward difference operator. Some authors define the binomial transform with an extra sign, so that it is not self-inverse: whose inverse is In this case the former transform is called the inverse binomial transform, and the latter is just binomial transform. This is standard usage for example in On-Line Encyclopedia of Integer Sequences.
Example
Binomial transforms can be seen in difference tables. Consider the following: The top line 0, 1, 10, 63, 324, 1485,... is the binomial transform of the diagonal 0, 1, 8, 36, 128, 400,....
The transform connects the generating functions associated with the series. For the ordinary generating function, let and then
Euler transform
The relationship between the ordinary generating functions is sometimes called the Euler transform. It commonly makes its appearance in one of two different ways. In one form, it is used to accelerate the convergence of an alternating series. That is, one has the identity which is obtained by substituting x=1/2 into the last formula above. The terms on the right hand side typically become much smaller, much more rapidly, thus allowing rapid numerical summation. The Euler transform can be generalized : where p = 0, 1, 2,... The Euler transform is also frequently applied to the Euler hypergeometric integral. Here, the Euler transform takes the form: The binomial transform, and its variation as the Euler transform, is notable for its connection to the continued fractionrepresentation of a number. Let have the continued fraction representation then and
When the sequence can be interpolated by a complex analytic function, then the binomial transform of the sequence can be represented by means of a Nörlund–Rice integral on the interpolating function.
Generalizations
Prodinger gives a related, modular-like transformation: letting gives where U and B are the ordinary generating functions associated with the series and, respectively. The rising k-binomial transform is sometimes defined as The falling k-binomial transform is Both are homomorphisms of the kernel of the Hankel transform of a series. In the case where the binomial transform is defined as Let this be equal to the function If a new forward difference table is made and the first elements from each row of this table are taken to form a new sequence, then the second binomial transform of the original sequence is, If the same process is repeated k times, then it follows that, Its inverse is, This can be generalized as, where is the shift operator. Its inverse is