Abstract
We derive some interesting identities and arithmetic properties of Bernoulli and Euler polynomials from the orthogonality of Hermite polynomials. Let be the -dimensional vector space over . Then we show that is a good basis for the space for our purpose of arithmetical and combinatorial applications.
1. Introduction
As is well known, the Euler polynomials, , are defined by the generating function as follows: (see [1–8]), with the usual convention about replacing by .
In the special case, , is called the nth Euler number. From (1.1) and definition of Euler numbers, we note that with the usual convention about replacing by .
The Bernoulli numbers are defined as (see [9–14]), where is a Kronecker symbol.
As is well known, Bernoulli polynomials are also defined by with the usual convention about replacing by (see [1, 15–18]).
The Hermite polynomials are defined by the generating function as follows: (see [5, 19]), with the usual convention about replacing by .
From (1.5), we can derive the following identities:
Let us consider two operators as follows:
By (1.7), we get . In particular, if we take , then we have
We note that
From (1.8), we note that
Thus, by (1.10), we get (see [5, 19–23]). In the special case, , are called the Hermite numbers.
From (1.5), we can derive the following identities: (cf. [5, 19]), with the usual convention about replacing by . It is easy to show that
By comparing coefficients on the both sides of (1.13), we get where . From (1.12), we have
Let be the -dimensional vector space over . Probably, is the most natural basis for this space. But is also a good basis for the space , for our purpose of arithmetical and combinatorial applications.
For , for some uniquely determined .
The purpose of this paper is to develop methods for computing from the information of . By using these methods, we define some interesting identities.
2. Properties of Hermite Polynomials
From (1.5) and (1.13), we note that
Thus, by (2.1), we obtain the following recurrence formula.
Proposition 2.1. For , one has
By, (1.5), we get
From (2.3), we can derive the following reflection symmetric identity of :
By (1.5), we easily see that
Thus, by (1.5) and (2.5), we get
Thus, by (2.6) and (2.7), we get
From (1.15) and (2.9), we note that
Differentiating on both sides, we have
Thus, we have
From (2.12), we note that is a solution of the following second-order linear differential equation:
From (1.5), we note that
Thus, by (2.14), we get
3. Main Results
By (1.6), we easily get
From (3.1), we note that
It is easy to show that where . By (3.3), we get
From (3.2), we note that are orthogonal basis for the space with respect to the inner product
For , the polynomial is given by where
Let us take . For , we compute in (3.6) as follows
Let . Then we have
Therefore, by (3.6), (3.8), and (3.9), we obtain the following proposition.
Proposition 3.1. One has
Let us take . From (3.4), can be rewritten by where
By integrating by parts, we get
Thus, from (3.11) and (3.13), we have
Therefore, by (3.11) and (3.14), we obtain the following theorem.
Theorem 3.2. For , one has
Remark 3.3. Let us take . Then, by the same method, we obtain the following identity:
Now, we consider . From (3.6), we note that can be rewritten as where
By integrating by parts, we get
From (3.17) and (3.19), we note that
Therefore, by (3.17) and (3.20), we obtain the following theorem.
Theorem 3.4. For , one has
From Theorem 3.4, we note that
Thus, we have, for ,
Let with . Then we easily see that
Let us consider the following polynomial of degree in :
From (3.6), we note that can be rewritten as where
In [15], it is known that
From (3.23) and (3.29), we have the following:
For , we have
Therefore, by (3.27) and (3.32), we obtain the following theorem.
Theorem 3.5. For , one has
Acknowledgment
This research was supported by Basic Science Research Program through the National Research Foundation of Korea NRF funded by the Ministry of Education, Science and Technology 2012R1A1A2003786.