# Prime number theorem

In number theory, the prime number theorem (PNT) describes the asymptotic distribution of the prime numbers. The prime number theorem gives a general description of how the primes are distributed among the positive integers. It formalizes the intuitive idea that primes become less common as they become larger.

Informally speaking, the prime number theorem states that if a random integer is selected in the range of zero to some large integer N, the probability that the selected integer is prime is about 1 / ln(N), where ln(N) is the natural logarithm of N. Consequently, a random integer with at most 2n digits (for large enough n) is about half as likely to be prime as a random integer with at most n digits. For example, among the positive integers of at most 1000 digits, about one in 2300 is prime (ln 101000 ≈ 2302.6), whereas among positive integers of at most 2000 digits, about one in 4600 is prime (ln 102000 ≈ 4605.2). In other words, the average gap between consecutive prime numbers among the first N integers is roughly ln(N).

## Statement Graph showing ratio of the prime-counting function π(x) to two of its approximations, x/ln x and Li(x). As x increases (note x axis is logarithmic), both ratios tend towards 1. The ratio for x/ln x converges from above very slowly, while the ratio for Li(x) converges more quickly from below. Log-log plot showing absolute error of x/ln x and Li(x), two approximations to the prime-counting function π(x). Unlike the ratios, the differences increase without bound as x increases.

Let π(x) be the prime-counting function that gives the number of primes less than or equal to x, for any real number x. For example, π(10) = 4 because there are four prime numbers (2, 3, 5 and 7) less than or equal to 10. The prime number theorem then states that x / ln(x) is a good approximation to π(x), in the sense that the limit of the quotient of the two functions π(x) and x / ln(x) as x approaches infinity is 1:

$\lim _{x\to \infty }{\frac {\pi (x)}{x/\ln(x)}}=1,$ known as the asymptotic law of distribution of prime numbers. Using asymptotic notation this result can be restated as

$\pi (x)\sim {\frac {x}{\ln x}}.\!$ This notation (and the theorem) does not say anything about the limit of the difference of the two functions as x approaches infinity. Instead, the theorem states that x/ln(x) approximates π(x) in the sense that the relative error of this approximation approaches 0 as x approaches infinity.

The prime number theorem is equivalent to the statement that the nth prime number pn satisfies

$p_{n}\sim n\ln(n)$ ,

the asymptotic notation meaning again that the relative error of this approximation approaches 0 as n approaches infinity. For example, the 200 · 1015th prime number is 8512677386048191063, and (200 · 1015)ln(200 · 1015) rounds to 7967418752291744388, a relative error of about 6.8%.

## History of the asymptotic law of distribution of prime numbers and its proof

Based on the tables by Anton Felkel and Jurij Vega, Adrien-Marie Legendre conjectured in 1797 or 1798 that π(a) is approximated by the function a/(A ln(a) + B), where A and B are unspecified constants. In the second edition of his book on number theory (1808) he then made a more precise conjecture, with A = 1 and B = −1.08366. Carl Friedrich Gauss considered the same question at age 15 or 16 "ins Jahr 1792 oder 1793", according to his own recollection in 1849. In 1838 Peter Gustav Lejeune Dirichlet came up with his own approximating function, the logarithmic integral li(x) (under the slightly different form of a series, which he communicated to Gauss). Both Legendre's and Dirichlet's formulas imply the same conjectured asymptotic equivalence of π(x) and x / ln(x) stated above, although it turned out that Dirichlet's approximation is considerably better if one considers the differences instead of quotients.

In two papers from 1848 and 1850, the Russian mathematician Pafnuty L'vovich Chebyshev attempted to prove the asymptotic law of distribution of prime numbers. His work is notable for the use of the zeta function ζ(s) (for real values of the argument "s", as are works of Leonhard Euler, as early as 1737) predating Riemann's celebrated memoir of 1859, and he succeeded in proving a slightly weaker form of the asymptotic law, namely, that if the limit of π(x)/(x/ln(x)) as x goes to infinity exists at all, then it is necessarily equal to one. He was able to prove unconditionally that this ratio is bounded above and below by two explicitly given constants near 1, for all sufficiently large x. Although Chebyshev's paper did not prove the Prime Number Theorem, his estimates for π(x) were strong enough for him to prove Bertrand's postulate that there exists a prime number between n and 2n for any integer n ≥ 2.

An important paper concerning the distribution of prime numbers was Riemann's 1859 memoir On the Number of Primes Less Than a Given Magnitude, the only paper he ever wrote on the subject. Riemann introduced new ideas into the subject, the chief of them being that the distribution of prime numbers is intimately connected with the zeros of the analytically extended Riemann zeta function of a complex variable. In particular, it is in this paper of Riemann that the idea to apply methods of complex analysis to the study of the real function π(x) originates. Extending the ideas of Riemann, two proofs of the asymptotic law of the distribution of prime numbers were obtained independently by Jacques Hadamard and Charles Jean de la Vallée-Poussin and appeared in the same year (1896). Both proofs used methods from complex analysis, establishing as a main step of the proof that the Riemann zeta function ζ(s) is non-zero for all complex values of the variable s that have the form s = 1 + it with t > 0.

During the 20th century, the theorem of Hadamard and de la Vallée-Poussin also became known as the Prime Number Theorem. Several different proofs of it were found, including the "elementary" proofs of Atle Selberg and Paul Erdős (1949). While the original proofs of Hadamard and de la Vallée-Poussin are long and elaborate, and later proofs have introduced various simplifications through the use of Tauberian theorems but remained difficult to digest, a short proof was discovered in 1980 by American mathematician Donald J. Newman. Newman's proof is arguably the simplest known proof of the theorem, although it is non-elementary in the sense that it uses Cauchy's integral theorem from complex analysis.

## Proof methodology

In a lecture on prime numbers for a general audience, Fields medalist Terence Tao described one approach to proving the prime number theorem in poetic terms: listening to the "music" of the primes. We start with a "sound wave" that is "noisy" at the prime numbers and silent at other numbers; this is the von Mangoldt function. Then we analyze its notes or frequencies by subjecting it to a process akin to Fourier transform; this is the Mellin transform. The next and most difficult step is to prove that certain "notes" cannot occur in this music. This exclusion of certain notes leads to the statement of the prime number theorem. According to Tao, this proof yields much deeper insights into the distribution of the primes than the "elementary" proofs.

## Proof sketch

Here is a sketch of the proof referred to in Tao's lecture mentioned above. Like most proofs of the PNT, it starts out by reformulating the problem in terms of a less intuitive, but better-behaved, prime-counting function. The idea is to count the primes (or a related set such as the set of prime powers) with weights to arrive at a function with smoother asymptotic behavior. The most common such generalized counting function is the Chebyshev function $\psi (x)$ , defined by

$\psi (x)=\sum _{p^{k}\leq x, \atop p\,{\text{is prime}}}\log p.$ $\Lambda (n)={\begin{cases}\log p&{\text{if }}n=p^{k}{\text{ for some prime }}p{\text{ and integer }}k\geq 1,\\0&{\text{otherwise.}}\end{cases}}$ It is now relatively easy to check that the PNT is equivalent to the claim that $\lim _{x\to \infty }\psi (x)/x=1$ . Indeed, this follows from the easy estimates

$\psi (x)=\sum _{p\leq x}\log p\left\lfloor {\frac {\log x}{\log p}}\right\rfloor \leq \sum _{p\leq x}\log x=\pi (x)\log x$ $\psi (x)\geq \sum _{x^{1-\epsilon }\leq p\leq x}\log p\geq \sum _{x^{1-\epsilon }\leq p\leq x}(1-\epsilon )\log x=(1-\epsilon )(\pi (x)+O(x^{1-\epsilon }))\log x.$ $-{\frac {\zeta '(s)}{\zeta (s)}}=\sum _{n=1}^{\infty }\Lambda (n)n^{-s}.$ A delicate analysis of this equation and related properties of the zeta function, using the Mellin transform and Perron's formula, shows that for non-integer x the equation

$\psi (x)=x-\sum _{\rho }{\frac {x^{\rho }}{\rho }}-\log(2\pi )$ holds, where the sum is over all zeros (trivial and non-trivial) of the zeta function. This striking formula is one of the so-called explicit formulas of number theory, and is already suggestive of the result we wish to prove, since the term x (claimed to be the correct asymptotic order of $\psi (x)$ ) appears on the right-hand side, followed by (presumably) lower-order asymptotic terms.

The next step in the proof involves a study of the zeros of the zeta function. The trivial zeros −2, −4, −6, −8, ... can be handled separately:

$\sum _{n=1}^{\infty }{\frac {1}{2n\,x^{2n}}}=-{\frac {1}{2}}\ln \left(1-{\frac {1}{x^{2}}}\right),$ which vanishes for a large x. The nontrivial zeros, namely those on the critical strip $0\leq \Re (s)\leq 1$ , can potentially be of an asymptotic order comparable to the main term x if $\Re (\rho )=1$ , so we need to show that all zeros have real part strictly less than 1.

$|\zeta (x+iy)|=\exp(\sum _{n,p}{\frac {\cos ny\log p}{np^{nx}}}).$ $|\zeta (x)^{3}\zeta (x+iy)^{4}\zeta (x+2iy)|=\exp \sum _{n,p}{\frac {3+4\cos(ny\log p)+\cos(2ny\log p)}{np^{nx}}}\geq 1$ Finally, we can conclude that the PNT is "morally" true. To rigorously complete the proof there are still serious technicalities to overcome, due to the fact that the summation over zeta zeros in the explicit formula for $\psi (x)$ does not converge absolutely but only conditionally and in a "principal value" sense. There are several ways around this problem but many of them require rather delicate complex-analytic estimates that are beyond the scope of this article. Edwards's book provides the details. Another method is to use Ikehara's Tauberian theorem, though this theorem is itself quite hard to prove. D. J. Newman observed that the full strength of Ikehara's theorem is not needed for the prime number theorem, and one can get away with a special case that is much easier to prove.

## Prime-counting function in terms of the logarithmic integral

In a handwritten note on a reprint of his 1838 paper "Sur l'usage des séries infinies dans la théorie des nombres", which he mailed to Carl Friedrich Gauss, Peter Gustav Lejeune Dirichlet conjectured (under a slightly different form appealing to a series rather than an integral) that an even better approximation to π(x) is given by the offset logarithmic integral function Li(x), defined by

$\mathrm {Li} (x)=\int _{2}^{x}{\frac {1}{\ln t}}\,\mathrm {d} t=\mathrm {li} (x)-\mathrm {li} (2).$ Indeed, this integral is strongly suggestive of the notion that the 'density' of primes around t should be 1/lnt. This function is related to the logarithm by the asymptotic expansion

${\mathrm {Li} }(x)\sim {\frac {x}{\ln x}}\sum _{k=0}^{\infty }{\frac {k!}{(\ln x)^{k}}}={\frac {x}{\ln x}}+{\frac {x}{(\ln x)^{2}}}+{\frac {2x}{(\ln x)^{3}}}+\cdots .$ So, the prime number theorem can also be written as π(x) ~ Li(x). In fact, in another paper in 1899 La Vallée Poussin proved that

$\pi (x)={\rm {Li}}(x)+O\left(x{\mathrm {e} }^{-a{\sqrt {\ln x}}}\right)\quad {\text{as }}x\to \infty$ for some positive constant a, where O(...) is the big O notation. This has been improved to

$\pi (x)={\rm {Li}}(x)+O\left(x\,\exp \left(-{\frac {A(\ln x)^{3/5}}{(\ln \ln x)^{1/5}}}\right)\right).$ Because of the connection between the Riemann zeta function and π(x), the Riemann hypothesis has considerable importance in number theory: if established, it would yield a far better estimate of the error involved in the prime number theorem than is available today. More specifically, Helge von Koch showed in 1901 that, if and only if the Riemann hypothesis is true, the error term in the above relation can be improved to

$\pi (x)={\rm {Li}}(x)+O\left({\sqrt {x}}\ln x\right).$ The constant involved in the big O notation was estimated in 1976 by Lowell Schoenfeld: assuming the Riemann hypothesis,

$|\pi (x)-{\rm {li}}(x)|<{\frac {{\sqrt {x}}\,\ln x}{8\pi }}$ for all x ≥ 2657. He also derived a similar bound for the Chebyshev prime-counting function ψ:

$|\psi (x)-x|<{\frac {{\sqrt {x}}\,\ln ^{2}x}{8\pi }}$ for all x ≥ 73.2. This latter bound has been shown to express a variance to mean power law (when regarded as a random function over the integers), 1/f noise and to also correspond to the Tweedie compound Poisson distribution. Parenthetically, the Tweedie distributions represent a family of scale invariant distributions that serve as foci of convergence for a generalization of the central limit theorem.

The logarithmic integral Li(x) is larger than π(x) for "small" values of x. This is because it is (in some sense) counting not primes, but prime powers, where a power pn of a prime p is counted as 1/n of a prime. This suggests that Li(x) should usually be larger than π(x) by roughly Li(x1/2)/2, and in particular should usually be larger than π(x). However, in 1914, J. E. Littlewood proved that this is not always the case. The first value of x where π(x) exceeds Li(x) is probably around x = 10316; see the article on Skewes' number for more details.

## Elementary proofs

In the first half of the twentieth century, some mathematicians (notably G. H. Hardy) believed that there exists a hierarchy of proof methods in mathematics depending on what sorts of numbers (integers, reals, complex) a proof requires, and that the prime number theorem (PNT) is a "deep" theorem by virtue of requiring complex analysis. This belief was somewhat shaken by a proof of the PNT based on Wiener's tauberian theorem, though this could be set aside if Wiener's theorem were deemed to have a "depth" equivalent to that of complex variable methods. There is no rigorous and widely accepted definition of the notion of elementary proof in number theory. One definition is "a proof that can be carried out in first order Peano arithmetic." There are number-theoretic statements (for example, the Paris–Harrington theorem) provable using second order but not first order methods, but such theorems are rare to date.

In March 1948, Atle Selberg established, by elementary means, the asymptotic formula

$\vartheta \left(x\right)\log \left(x\right)+\sum \limits _{p\leq x}{\log \left(p\right)}\ \vartheta \left({\frac {x}{p}}\right)=2x\log \left(x\right)+O\left(x\right)$ where

$\vartheta \left(x\right)=\sum \limits _{p\leq x}{\log \left(p\right)}$ for primes $p$ . By July of that year, Selberg and Paul Erdős had each obtained elementary proofs of the PNT, both using Selberg's asymptotic formula as a starting point. These proofs effectively laid to rest the notion that the PNT was "deep," and showed that technically "elementary" methods (in other words Peano arithmetic) were more powerful than had been believed to be the case. In 1994, Charalambos Cornaros and Costas Dimitracopoulos proved the PNT using only $I\Delta _{0}+\exp$ , a formal system far weaker than Peano arithmetic. On the history of the elementary proofs of the PNT, including the Erdős–Selberg priority dispute, see Dorian Goldfeld.

## Computer verifications

In 2005, Avigad et al. employed the Isabelle theorem prover to devise a computer-verified variant of the Erdős–Selberg proof of the PNT. This was the first machine-verified proof of the PNT. Avigad chose to formalize the Erdős–Selberg proof rather than an analytic one because while Isabelle's library at the time could implement the notions of limit, derivative, and transcendental function, it had almost no theory of integration to speak of (Avigad et al. p. 19).

In 2009, John Harrison employed HOL Light to formalize a proof employing complex analysis. By developing the necessary analytic machinery, including the Cauchy integral formula, Harrison was able to formalize "a direct, modern and elegant proof instead of the more involved elementary' Erdős–Selberg argument".

## Prime number theorem for arithmetic progressions

Let $\pi _{n,a}(x)$ denote the number of primes in the arithmetic progression a, a + n, a + 2n, a + 3n, ... less than x. Lejeune Dirichlet and Legendre conjectured, and Vallée-Poussin proved, that, if a and n are coprime, then

$\pi _{n,a}(x)\sim {\frac {1}{\varphi (n)}}\mathrm {Li} (x),$ where φ is the Euler's totient function. In other words, the primes are distributed evenly among the residue classes [a] modulo n with gcd(a, n) = 1. This can be proved using similar methods used by Newman for his proof of the prime number theorem.

The Siegel–Walfisz theorem gives a good estimate for the distribution of primes in residue classes.

### Prime number race

Although we have in particular

$\pi _{4,1}(x)\sim \pi _{4,3}(x),\,$ empirically the primes congruent to 3 are more numerous and are nearly always ahead in this "prime number race"; the first reversal occurs at x = 26,861.:1–2 However Littlewood showed in 1914:2 that there are infinitely many sign changes for the function

$\pi _{4,1}(x)-\pi _{4,3}(x),\,$ so the lead in the race switches back and forth infinitely many times. The phenomenon that π4,3(x) is ahead most of the time is called Chebyshev's bias. The prime number race generalizes to other moduli and is the subject of much research; Pál Turán asked whether it is always the case that π(x;a,c) and π(x;b,c) change places when a and b are coprime to c. Granville and Martin give a thorough exposition and survey.

## Bounds on the prime-counting function

The prime number theorem is an asymptotic result. It gives an ineffective bound on π(x) as a direct consequence of the definition of the limit: for all ε > 0, there is an S such that for all x > S,

$(1-\varepsilon ){\frac {x}{\ln x}}<\pi (x)<(1+\varepsilon ){\frac {x}{\ln x}}.$ However, better bounds on π(x) are known, for instance Pierre Dusart's

${\frac {x}{\ln x}}\left(1+{\frac {1}{\ln x}}\right)<\pi (x)<{\frac {x}{\ln x}}\left(1+{\frac {1}{\ln x}}+{\frac {2.51}{(\ln x)^{2}}}\right).$ The first inequality holds for all x ≥ 599 and the second one for x ≥ 355991.

A weaker but sometimes useful bound for x ≥ 55 is

${\frac {x}{\ln x+2}}<\pi (x)<{\frac {x}{\ln x-4}}$ .

In Dusart's thesis there are stronger versions of this type of inequality that are valid for larger x.

The proof by de la Vallée-Poussin implies the following. For every ε > 0, there is an S such that for all x > S,

${\frac {x}{\ln x-(1-\varepsilon )}}<\pi (x)<{\frac {x}{\ln x-(1+\varepsilon )}}.$ ## Approximations for the nth prime number

As a consequence of the prime number theorem, one gets an asymptotic expression for the nth prime number, denoted by pn:

$p_{n}\sim n\ln n.$ A better approximation is

${{\frac {p_{n}}{n}}=\ln n+\ln \ln n-1+{\frac {\ln \ln n-2}{\ln n}}-{\frac {(\ln \ln n)^{2}-6\ln \ln n+11}{2(\ln n)^{2}}}+o\left({\frac {1}{(\ln n)^{2}}}\right).}$ Again considering the 200 · 1015 prime number 8512677386048191063, this gives an estimate of 8512681315554715386; the first 5 digits match and relative error is about 0.00005%.

Rosser's theorem states that pn is larger than n ln n. This can be improved by the following pair of bounds:

$\ln n+\ln \ln n-1<{\frac {p_{n}}{n}}<\ln n+\ln \ln n\quad {\text{for }}n\geq 6.$ ## Table of π(x), x / ln x, and li(x)

The table compares exact values of π(x) to the two approximations x / ln x and li(x). The last column, x / π(x), is the average prime gap below x.

x π(x) π(x) − x / ln x π(x) / (x / ln x) li(x) − π(x) x / π(x)
10 4 −0.3 0.921 2.2 2.500
102 25 3.3 1.151 5.1 4.000
103 168 23 1.161 10 5.952
104 1,229 143 1.132 17 8.137
105 9,592 906 1.104 38 10.425
106 78,498 6,116 1.084 130 12.740
107 664,579 44,158 1.071 339 15.047
108 5,761,455 332,774 1.061 754 17.357
109 50,847,534 2,592,592 1.054 1,701 19.667
1010 455,052,511 20,758,029 1.048 3,104 21.975
1011 4,118,054,813 169,923,159 1.043 11,588 24.283
1012 37,607,912,018 1,416,705,193 1.039 38,263 26.590
1013 346,065,536,839 11,992,858,452 1.034 108,971 28.896
1014 3,204,941,750,802 102,838,308,636 1.033 314,890 31.202
1015 29,844,570,422,669 891,604,962,452 1.031 1,052,619 33.507
1016 279,238,341,033,925 7,804,289,844,393 1.029 3,214,632 35.812
1017 2,623,557,157,654,233 68,883,734,693,281 1.027 7,956,589 38.116
1018 24,739,954,287,740,860 612,483,070,893,536 1.025 21,949,555 40.420
1019 234,057,667,276,344,607 5,481,624,169,369,960 1.024 99,877,775 42.725
1020 2,220,819,602,560,918,840 49,347,193,044,659,701 1.023 222,744,644 45.028
1021 21,127,269,486,018,731,928 446,579,871,578,168,707 1.022 597,394,254 47.332
1022 201,467,286,689,315,906,290 4,060,704,006,019,620,994 1.021 1,932,355,208 49.636
1023 1,925,320,391,606,803,968,923 37,083,513,766,578,631,309 1.020 7,250,186,216 51.939
1024 18,435,599,767,349,200,867,866 339,996,354,713,708,049,069 1.019 17,146,907,278 54.243
1025 176,846,309,399,143,769,411,680 3,128,516,637,843,038,351,228 1.018 55,160,980,939 56.546
OEIS A006880 A057835 A057752

The value for π(1024) was originally computed assuming the Riemann hypothesis; it has since been verified unconditionally.

## Analogue for irreducible polynomials over a finite field

There is an analogue of the prime number theorem that describes the "distribution" of irreducible polynomials over a finite field; the form it takes is strikingly similar to the case of the classical prime number theorem.

To state it precisely, let F = GF(q) be the finite field with q elements, for some fixed q, and let Nn be the number of monic irreducible polynomials over F whose degree is equal to n. That is, we are looking at polynomials with coefficients chosen from F, which cannot be written as products of polynomials of smaller degree. In this setting, these polynomials play the role of the prime numbers, since all other monic polynomials are built up of products of them. One can then prove that

$N_{n}\sim {\frac {q^{n}}{n}}.$ If we make the substitution x = qn, then the right hand side is just

${\frac {x}{\log _{q}x}},$ which makes the analogy clearer. Since there are precisely qn monic polynomials of degree n (including the reducible ones), this can be rephrased as follows: if a monic polynomial of degree n is selected randomly, then the probability of it being irreducible is about 1/n.

One can even prove an analogue of the Riemann hypothesis, namely that

$N_{n}={\frac {q^{n}}{n}}+O\left({\frac {q^{n/2}}{n}}\right).$ The proofs of these statements are far simpler than in the classical case. It involves a short combinatorial argument, summarised as follows. Every element of the degree n extension of F is a root of some irreducible polynomial whose degree d divides n; by counting these roots in two different ways one establishes that

$q^{n}=\sum _{d\mid n}dN_{d},$ where the sum is over all divisors d of n. Möbius inversion then yields

$N_{n}={\frac {1}{n}}\sum _{d\mid n}\mu (n/d)q^{d},$ where μ(k) is the Möbius function. (This formula was known to Gauss.) The main term occurs for d = n, and it is not difficult to bound the remaining terms. The "Riemann hypothesis" statement depends on the fact that the largest proper divisor of n can be no larger than n/2.