Sequences of Binomial Type

by aoum, Apr 4, 2025, 10:37 PM

Sequences of Binomial Type

In the language of combinatorics and algebra, a sequence of binomial type is a polynomial sequence that generalizes the behavior of the powers $x^n$ under the binomial expansion. These sequences naturally arise in the study of combinatorial identities, generating functions, and umbral calculus.

1. Definition

Let $\{p_n(x)\}_{n \ge 0}$ be a sequence of polynomials, each of degree $n$. The sequence is said to be of binomial type if it satisfies the identity:

$$
p_n(x + y) = \sum_{k=0}^n \binom{n}{k} p_k(x) p_{n-k}(y) \quad \text{for all } n \ge 0
$$
This is a natural generalization of the classical binomial theorem:

$$
(x + y)^n = \sum_{k=0}^n \binom{n}{k} x^k y^{n-k}
$$
2. Examples of Binomial Type Sequences
  • Monomials: $p_n(x) = x^n$
  • Falling Factorials: $p_n(x) = x^{\underline{n}} = x(x - 1)(x - 2) \dots (x - n + 1)$
  • Abel Polynomials: $p_n(x) = x(x - an)^{n-1}$ for fixed $a \in \mathbb{R}$
  • Touchard Polynomials (or Bell polynomials): arising in the context of partitioning sets
  • Binomial Convolution Polynomials: arising from exponential generating functions

3. Generating Function Characterization

A sequence $\{p_n(x)\}$ is of binomial type if and only if it has an exponential generating function of the form:

$$
\sum_{n=0}^\infty p_n(x) \frac{t^n}{n!} = e^{x f(t)}
$$
where $f(t)$ is a formal power series with $f(0) = 0$ and $f'(0) \ne 0$. For example:
  • For $p_n(x) = x^n$, we have $f(t) = t$, since $\sum_{n=0}^\infty x^n \frac{t^n}{n!} = e^{xt}$
  • For $p_n(x) = x^{\underline{n}}$, the generating function is $e^{x \log(1 + t)} = (1 + t)^x$, so $f(t) = \log(1 + t)$

4. Properties

Let $\{p_n(x)\}$ be a sequence of binomial type. Then:
  • $p_0(x) = 1$
  • $\deg(p_n) = n$
  • $p_n(0) = 0$ for $n \ge 1$
  • $p_n(x)$ satisfies a convolution identity:

    $$
p_n(x + y) = \sum_{k=0}^n \binom{n}{k} p_k(x) p_{n-k}(y)
$$
  • The sequence is closed under differentiation: there exists a sequence $\{a_n\}$ such that

    $$
\frac{d}{dx} p_n(x) = n p_{n-1}(x)
$$
    if and only if the sequence is also an Appell sequence, i.e., $f(t) = t$

5. Umbral Calculus Interpretation

In umbral calculus, one introduces a linear functional $\mathcal{L}$ such that $\mathcal{L}(a^n) = p_n(x)$ for an abstract umbra $a$. Then the binomial identity becomes:

$$
\mathcal{L}[(a + b)^n] = \sum_{k=0}^n \binom{n}{k} \mathcal{L}(a^k) \mathcal{L}(b^{n-k})
$$
This is a symbolic way of writing $p_n(x + y)$ in terms of $p_k(x)$ and $p_{n-k}(y)$.

6. Sheffer Classification

Every sequence of binomial type is a special case of a Sheffer sequence. A Sheffer sequence $\{S_n(x)\}$ has a generating function:

$$
\sum_{n=0}^\infty S_n(x) \frac{t^n}{n!} = g(t) e^{x f(t)}
$$
If $g(t) = 1$, then the sequence is of binomial type.

7. Orthogonality and Combinatorics

Sequences of binomial type appear in numerous combinatorial contexts:
  • Enumerating labeled structures via exponential generating functions
  • Bell numbers and set partitions
  • Combinatorial identities involving Stirling and Lah numbers
  • Polynomial interpolation, recurrence relations, and difference calculus

8. Proof of Binomial Identity for $x^n$

Let’s verify the binomial identity for the monomial sequence:

$$
(x + y)^n = \sum_{k=0}^n \binom{n}{k} x^k y^{n - k}
$$
This follows directly from the classical binomial theorem. Hence, $\{x^n\}$ is of binomial type.

9. Proof That Falling Factorials Are of Binomial Type

We claim that:

$$
(x + y)^{\underline{n}} = \sum_{k=0}^n \binom{n}{k} x^{\underline{k}} y^{\underline{n-k}}
$$
This follows from the combinatorics of choosing $k$ elements to place in $x$ and the remaining in $y$ in orderings.

10. Conclusion

Sequences of binomial type generalize the binomial theorem to a wide class of polynomial sequences. Their combinatorial and algebraic structure plays a central role in generating function theory, umbral calculus, and discrete mathematics. They provide a unifying framework for many familiar polynomial families and are foundational in symbolic combinatorics.

References

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