Delta operator

In mathematics, a delta operator is a shift-equivariant linear operator Q\colon \mathbb {K} [x]\longrightarrow \mathbb {K} [x] on the vector space of polynomials in a variable x over a field \mathbb {K} that reduces degrees by one.

To say that Q is shift-equivariant means that if g(x)=f(x+a), then

{(Qg)(x)=(Qf)(x+a)}.\,

In other words, if f is a "shift" of g, then Qf is also a shift of Qg, and has the same "shifting vector" a.

To say that an operator reduces degree by one means that if f is a polynomial of degree n, then Qf is either a polynomial of degree n-1, or, in case n=0, Qf is 0.

Sometimes a delta operator is defined to be a shift-equivariant linear transformation on polynomials in x that maps x to a nonzero constant. Seemingly weaker than the definition given above, this latter characterization can be shown to be equivalent to the stated definition, since shift-equivariance is a fairly strong condition.

Examples

(\Delta f)(x)=f(x+1)-f(x)\,
is a delta operator.
\sum _{k=1}^{\infty }c_{k}D^{k}
(where Dn(ƒ) = ƒ(n) is the nth derivative) with c_{1}\neq 0 is a delta operator. It can be shown that all delta operators can be written in this form. For example, the difference operator given above can be expanded as
\Delta =e^{D}-1=\sum _{k=1}^{\infty }{\frac {D^{k}}{k!}}.
{(\delta f)(x)={{f(x+\Delta t)-f(x)} \over {\Delta t}}},
the Euler approximation of the usual derivative with a discrete sample time \Delta t. The delta-formulation obtains a significant number of numerical advantages compared to the shift-operator at fast sampling.

Basic polynomials

Every delta operator Q has a unique sequence of "basic polynomials", a polynomial sequence defined by three conditions:

Such a sequence of basic polynomials is always of binomial type, and it can be shown that no other sequences of binomial type exist. If the first two conditions above are dropped, then the third condition says this polynomial sequence is a Sheffer sequence—a more general concept.

See also

References

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