1. Calculation Formula
Definition 1.1. Recursively define , ,
.
Definition 1.2. Recursively define , , .
.
Abbreviations: , .
.
.
.
.
.
In this paper, the default , .
Use to represent the set , to represent the set .
.
Definition 1.3. =Number of .
Definition 1.4. =Number of , =Number of .
Obviously, . Use the auxiliary form and each cannot be exchanged:
Theorem 1.1.
,
,
.
, is defined as .
Proof.
.
.
M = 1, it holds. Suppose that holds when M, , .
. Proof of completion.
. Prove through it. □
For example: .
.
.
.
.
.
.
They can be unified as: .
, .
, .
, .
Consider the general two-dimensional second-order linear recursive equations:
. It can be calculated in a similar way to . itself requires and can’t change the sign, so that 3-forms exist.
2. Property
Theorem 2.1.
(1). .
(2). , .
(3). , .
(4).
(5). .
Recursive relations yields (1), inversion yields (2), (4) and (5) can be obtained from (1). (5) shows . If we ignore the practical significance, . and (4) yields (3).
Theorem 2.2.
(1). .
(2). .
(3). .
(4). In , can exchange order.
(5). If and , =.
(1) is obvious, (2) and (3) is derived from (1), so can great than 1. (3) is the promotion of . (4) comes from the definition. (5) can be proved by induction.
Definition 2.1. , .
Definition 2.2. , .
, is unsigned stirling number of the first kind.
, is stirling number of the second kind.
,
,
.
They can be used to calculate and .
In the calculation of , .
Definition 2.3. ,
Obviously, . ,
.
Theorem 2.3. ,
(1). .
(2). .
(3). .
(4). .
(5). .
(6). .
Proof.
. Using induction to prove (2).
.
in has three sources.
(*)
.
(*).
(5) and (6) are definitions. □
Definition 2.4. .
Obviously, , , .
Definition 2.5. .
Obviously: . is Eulerian number.
Definition 2.6. .
Theorem 2.4.
(1). .
(2). .
(3). .
(4). , .
(5). , .
(6). .
Proof.
must be is a symmetric function .
. It’s holds when .
.
.
.
The rest only need to consider terms that multiply with .
.
. [Theorem 2.3(3)] and (1) .
Using the same method to prove (3), (4), (5), (6). □
Theorem 2.5.
(1). , . (2). .
(3) , .
(4). .
Proof. (1) is obvious. the latter half of (2). [Theorem 2.1] → (3). (4) is derived from the definition of . □
Definition 2.7.
.
From the calculation formula:
. From Worpitzky identity:
, so
.
is Eulerian number, this is a new expression. It is the result of [
1]. For example:
.
Associated Stirling Numbers of the first kind is defined as the number of permutations of a set of n elements having exactly k cycles, all length . . . From the recurrence relation, .
Associated Stirling Numbers of the second kind is defined as the number of permutations of a set of n elements having exactly k blocks, all length . . . From the recurrence relation, .
Definition 2.8. , 1 or 2, is defined as continuity, is defined as discontinuity.
, Number of discontinuities=g.
It is easily understood by adding g holes in consecutive numbers. Easy to know:
. This is the conclusion of [
2]. From the calculation formula:
. So
.
From the definition of H(g):
Theorem 2.6. , .
.
.
=Changed . Select from M factors, change i to (T-i).
.
=Changed . Select from M factors, change i to (T+i-1).
.
For example, express the product in terms of ():
, .
, .
From the definition of nested sum, there exists classification principles:
Theorem 2.7. .
Table 1.
Table of H(g)
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3. Number Analysis
From the relations between H(g) [Theorem 2.1], it’s easy to get.:
. .
.
From , [Theorem 2.3], it’s easy to get:
Theorem 3.1.
(1). .
(2). .
(3). .
(4). , .
(5). , .
Proof.
.
.
.
. □
Theorem 3.2. . Number of 1 added=X,
expands to .
Any can be converted to , relations between H(g) [Theorem 2.1] provides necessary and sufficient conditions for:
Theorem 3.3. is an integral polynomial of degree equals X, .
.
Proof. The condition is . □
Define
matrix,
.
, List SUM(N)...SUM(N+M) from top to bottom, g increases from left to right, they correspond to . It is easy to prove by Gaussian elimination:
Theorem 3.4. .
.
If or is easy to obtained, consider H(g) as variables, use Cramer’s law:
Theorem 3.5.
(1). .
(2). .
(3). .
, the following classical formula can be obtained.
(1) .
(3) .
. The latter equation comes from [Theorem 2.3(1)].
. The latter equation comes from [Theorem 2.4].
Theorem 3.6. .
Proof. From , it’s easy to get: .
.
From these two equations it is clear that and have the same thing:
, . Complete the proof from the expression of . □
4. Combinatorial Identities
Formal Calculation provides many ways to obtain an identity, and here are some of the methods.
Theorem 4.1. .
Proof.
.
It can be obtained: .
. The remaining step is obvious. □
For example: .
. [
3].
Theorem 4.2. .
Proof. SUM(N,[T+1,T+2...T+M],[T+A+1,T+A+2...T+A+M])
(*)
.
Compare with (*): .
then proves completion. The two sides correspond to merging and unfolding. □
Theorem 4.3. SUM(N,[A,A+1...A+M-1]:2,[1,3...2M-1])=.
Proof.
.
Expand by definition : .
Form [Theorem 2.2(5)], . Just compare the results. □
Special:.
5. Congruence
In this section, P is prime, is any integer, .
The following congruences are based on P. .
Definition 5.1. If , define , .
Theorem 5.1. ,
, .
, .
, . , .
Proof.
.
.
. .
.
Prove the part of PTS through [Theorem 2.2(2)].
, [Theorem 2.3](1) . □
Remove products, it can derive many congruence equations. Wilson’s Theorem is a special case.
Theorem 5.2.
(1). , .
(2). .
(3). .
(4). .
(5). .
(6). .
(7). .
Proof.
,
, .
If , .
If , in the express of , , when the largest is encountered where the number of 2 is g. , , so .
.
.
.
.
, .
.
.
, .
and , induction shows that (6).
.
.
This is Wolstenholme’s Theory: . □
A Direct Proof of Wilson’s Theorem:
.
.
.
Let . It can be proved by induction: .
. Use , similar conclusions were reached.
Theorem 5.3. . .
.
.
Theorem 5.4.
(1). .
(2). ,
. For , sum over all PTs meet the condition.
(3). In (1) and (2), then .
Proof. Obviously, holds for (1).
, If in the summation term; If .
holds. Prove by induction that (1) holds.
Removing the repeated products, it still holds due to symmetry. That’s (2). It can be proven that: , applying the same method → (3), they’re generalization of Wolstenholme’s Theory. □
Special: . .
Form classification [Theorem 2.7], .
We can get . For Example: ,
,
,
,
,
. All of them
In fact,. (*)
6. Generalization of Eulerian polynomials
In this section, . By induction it can be shown that:
.
.
From [Theorem 2.1 (5)], . Define it as .
.
.
Theorem 6.1. ,
.
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Special: , define , is Eulerian polynomial.
.
.
We know: .
.
.
.
, .
Theorem 6.2. . Together with , there are four expressions.
.
References
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