Primes as Energy levels (eigenvalues of a certain operator)

In summary, the conversation discusses the possibility of considering primes as "energy levels" or eigenvalues of a certain partition function or operator, such as the Riemann Zeta function. It also references the use of random matrix theory and the existence of a matrix with primes as its only eigenvalues. Further discussion includes the relationship between the Riemann Zeta function and the trace of a certain operator, and the potential for using this to estimate the sum of primes. The conversation ends with a proposed infinite matrix where the eigenvalues, when sorted and rounded, form a sequence of consecutive prime numbers.
  • #1
eljose
492
0
"primes" as Energy levels...(eigenvalues of a certain operator)

I have heard about the Riemann Zeta function to be some kind of physical partition function..my question is..could we consider primes as "Energy levels" (eigenvalues) of a certain partition function or operator?..in the form that exit an operator P so:

[tex] P|\psi>=p_{n}|\psi> [/tex]

could someone give some information of the "Riemann zeta function" as an statistical partition function?..thanks.
 
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  • #2
It's called random matrix theory, it is very famous, I've explained it to you before, and you can use google.
 
  • #3
My question is...could be the sum:

[tex] \sum_{n} e^{-sp_{n}}=f(s) [/tex] be interpreted as the "Trace" of certain operator so we can give an "estimation" for this SUm f(s), consierng primes are "eigenvalues" of a certain Hermitian operator that have a random matrix approach, or if it is satisfied that if we have:

[tex] P|\psi>=p_n |\psi> [/tex]

then [tex] f(s)=Tr[e^{-sP}] [/tex] (at least as an approximation)
 
  • #4
What if eljose gave a thread and no one came?
 
  • #5


I don't know of any matrix that has all the primes as its only eigenvalues. But there appears to be a matrix such that its most negative eigenvalue (one eigenvalue per matrix) is a prime plus minus a small number.

[itex] T(n,1)=1, T(1,k)=1, n>=k: -\sum\limits_{i=1}^{k-1} T(n-i,k), n<k: -\sum\limits_{i=1}^{n-1} T(k-i,n)[/itex]


[itex]\displaystyle T(n,k) = \begin{bmatrix} +1&+1&+1&+1&+1&+1&+1 \\ +1&-1&+1&-1&+1&-1&+1 \\ +1&+1&-2&+1&+1&-2&+1 \\ +1&-1&+1&-1&+1&-1&+1 \\ +1&+1&+1&+1&-4&+1&+1 \\ +1&-1&-2&-1&+1&+2&+1 \\ +1&+1&+1&+1&+1&+1&-6 \end{bmatrix}[/itex]

For which the list of the most negative eigenvalue for the first 100 matrices is:

{-1., 1.41421, 2.65544, 3.43931, 4.77106, 5.24392, 6.84437, 7.15539, \
7.47476, 7.57341, 10.9223, 11.096, 12.9021, 13.0453, 13.259, 13.4055, \
16.9724, 17.0824, 18.9443, 19.0552, 19.2282, 19.307, 22.9972, \
23.0759, 23.1576, 23.2173, 23.2976, 23.3972, 29.0103, 29.0407, \
30.963, 31.0104, 31.1008, 31.1505, 31.268, 31.34, 37.0284, 37.0658, \
37.1289, 37.174, 41.029, 41.0503, 42.9921, 43.0326, 43.0807, 43.1149, \
46.996, 47.0293, 47.0619, 47.1025, 47.1582, 47.2011, 53.0192, \
53.0497, 53.1076, 53.1419, 53.1893, 53.2117, 59.0477, 59.0681, \
61.0248, 61.0474, 61.0812, 61.1071, 61.1644, 61.1812, 67.0341, \
67.059, 67.0929, 67.1062, 71.027, 71.0496, 73.014, 73.0331, 73.0575, \
73.0829, 73.1282, 73.1427, 79.024, 79.0442, 79.0633, 79.0799, \
83.0154, 83.0287, 83.0648, 83.0806, 83.1091, 83.1312, 89.032, \
89.0463, 89.0784, 89.0973, 89.1237, 89.1374, 89.1731, 89.1921, \
97.0597, 97.0753, 97.0963, 97.1128}

which when rounded is:

{-1, 1, 3, 3, 5, 5, 7, 7, 7, 8, 11, 11, 13, 13, 13, 13, 17, 17, 19, \
19, 19, 19, 23, 23, 23, 23, 23, 23, 29, 29, 31, 31, 31, 31, 31, 31, \
37, 37, 37, 37, 41, 41, 43, 43, 43, 43, 47, 47, 47, 47, 47, 47, 53, \
53, 53, 53, 53, 53, 59, 59, 61, 61, 61, 61, 61, 61, 67, 67, 67, 67, \
71, 71, 73, 73, 73, 73, 73, 73, 79, 79, 79, 79, 83, 83, 83, 83, 83, \
83, 89, 89, 89, 89, 89, 89, 89, 89, 97, 97, 97, 97}

Compare this to the previous prime with the Mathematica command:

http://www.wolframalpha.com/input/?i=Table[NextPrime[i,+-1],+{i,+1,+101}]"

https://oeis.org/A191898"
 

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  • #6


Again consider the same infinite matrix above starting:

[itex] T(n,k) = \begin{bmatrix} +1&+1&+1&+1&+1&+1&+1 \\ +1&-1&+1&-1&+1&-1&+1 \\ +1&+1&-2&+1&+1&-2&+1 \\ +1&-1&+1&-1&+1&-1&+1 \\ +1&+1&+1&+1&-4&+1&+1 \\ +1&-1&-2&-1&+1&+2&+1 \\ +1&+1&+1&+1&+1&+1&-6 \end{bmatrix}[/itex]

It then appears that the eigenvalues of a infinitely large matrix [itex] T(n,k) [/itex], when sorted and rounded, contains a infinitely long sequence of consecutive prime numbers.

Example: The 11 most negative eigenvalues of a 300 times 300 [itex] T(n,k) [/itex] matrix are approximately: -293.072, -283.13, -281.127, -277.148, -271.195, -269.177, -263.223, -257.262, -251.299, -241.477, -239.354 which when rounded are: -293, -283, -281, -277, -271, -269, -263, -257, -251, -241, -239 which are the 52nd to the 62nd primes.
 

What are primes as energy levels?

Primes as energy levels refer to the concept of using prime numbers as eigenvalues (or energy levels) for a specific mathematical operator. This operator can represent a physical system or phenomenon, and the primes are used to describe the energy states of that system.

Why are primes used as energy levels?

Primes are used as energy levels because they are considered to be the most fundamental building blocks of numbers. This means that they have a unique and fundamental role in describing the energy levels of a system. Additionally, using primes as energy levels can provide a more accurate and efficient way of describing the energy states of a system compared to other methods.

How are primes used to describe energy levels?

Primes are used to describe energy levels by assigning them as eigenvalues to a specific mathematical operator. This operator is then used to represent the energy states of a system, with each prime number corresponding to a specific energy level. This method allows for a more precise and comprehensive understanding of the energy states of a system.

What is the significance of using primes as energy levels?

The significance of using primes as energy levels lies in the unique properties of prime numbers. Prime numbers have no factors other than 1 and themselves, making them the most basic and indivisible components of numbers. This means that using primes as energy levels can provide a more fundamental and accurate description of the energy states of a system.

What are some examples of using primes as energy levels?

Some examples of using primes as energy levels include the prime number wave equation in quantum mechanics, the prime number distribution in atomic energy levels, and the prime number factorization method for analyzing the stability of energy levels in physical systems. These are just a few examples, as the use of primes as energy levels has applications in various fields of science and mathematics.

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