Weng conjecture of information prediction

Conjecture 1: Starting from three, any prime number can be expressed as the sum of the other two prime numbers minus another prime number in infinite ways. For example:11=13+5-7 =19+5-13 = …

2 > Goldbach conjecture: Any even number can be expressed as the sum of two prime numbers.

For example: 24 = 23+1=19+5 =17+7 =13+1.

3> frequency conjecture: When an even number approaches infinity, the formula (frequency) that can indicate that this even number is the sum of two prime numbers also approaches infinity.

Thirdly, information models are established, including two types: one is random information model based on probability; Another deterministic information model.

Fourthly, the forecasting process is decomposed into three relatively independent parts, namely:

The main process of 1: strict information fidelity is required, and abstract algebra is used in mathematical methods, such as set theory and group theory;

2> decision-making process: it is a subjective process, and the mathematical methods include probability theory, operational research, fuzzy mathematics, etc.

3> estimation process: it is the main body of operation, and the commonly used fitting mathematical methods include equations, polynomials, inequalities, etc. The commonly used discriminant calculation principles are maximum likelihood method and least square method.

Fifthly, several forecasting methods with good information fidelity are proposed.

1 "heavenly stems and earthly branches period forecast. Put forward:

A, the first formula of daily dry forecast: y =1923.2269+0.1642746 * i.

The second formula: y =1966.2396+0.164275 * i.

B, annual dry branch forecast

C consistency between heavenly stems and earthly branches period prediction and commensurability prediction.

2> commensurability (expansion of multivariate almost period)

Commensurability (if there is a simple integer ratio relationship between periodic wavelengths, it is called commensurability), which reflects an order in nature.

B, based on astronomy, put forward the general expression of commensurability:

l

Xi =∑（ijxij）+& amp； 0

j= 1

Where: ij? {i}, and ij 1i, that is, ij is any element different from i in the subscript set ={ 1, 2, ..., n}, and xij is any element different from xi in {xi}. In the neck

Is an integer, l is a commensurable degree,&; 0 is the predetermined feasibility critical value (deviation), and the formula is as follows:

l

Xi =∑（ijxij+m）+& amp； 0

j= 1

And max(| &；; 1|, | & 2 |, …, | & m |) Pounds and pounds. 0

When m is large enough, these commensurability formulas are no longer accidental, and m is called the frequency of commensurability formulas.

C, commensurability coefficient

Porter's law is expressed in astronomy as:

Log(Xi-0.4)-log 0.3-I×log2 = 0, where i = -∞, 0.1.2,3, ...

Xi is the average distance from the planets to the sun in the solar system.

Laplace proposed that the average motions of Io, Europa and Ganymede obey the following formula:

Z 1-3z2+2z3=0 (formula 1)

The average motion of Enceladus, Enceladus, Enceladus and Enceladus z 1, z2, z3 and Z4 follows the following formula:

5z1-10z2+z3+4z4 = 0 (Formula 2).

The average motion of Uranus' four main satellites, Triton, Triton and Triton, Z 1, Z2, Z3 and Z4, follows the following formula:

Z 1-z2-2z3+z4=0 (Formula 3)

In the integer system, formulas I, II and III belong to commensurability equations, where the sum of the coefficients of formulas I, II and III is zero, and the sum of the coefficients of formula III is not zero.

Commensurability system

Commensurability is one of the important methods of information prediction. In order to estimate its non-contingency, random negation and other methods should be adopted. It is pointed out that neither differential nor higher-order difference can express the commensurability information of the system. For example, in data =

x 1，x2，…xi，…

Xn> third-order difference can only reflect the information in (xi+ 1-2xi+xi- 1), but not the information in commensurability formula ((xi+ 1-xi+xi- 1). Data in a given event set is studied and selected.

Almost periodic

If there are some values in the metadata, they all participate in the interval value X.

E, almost periodic expansion distribution

General data distribution, in which the index I only indicates the order. The "interval" focus of data binary synthesis is almost periodic. The system model can be extended almost regularly. The almost periodic expansion of data by binary synthesis is ternary synthesis, that is, ternary interval expansion. Similarly, for four yuan, six yuan, etc. , you can also have five yuan, seven yuan, etc. A simple method of system expansion is additive extrapolation (or interpolation).