Dickman-de Bruijn function

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u ρ(u)
1 1
2 3.0685282×10-1
3 4.8608388×10-2
4 4.9109256×10-3
5 3.5472470×10-4
6 1.9649696×10-5
7 8.7456700×10-7
8 3.2320693×10-8
9 1.0162483×10-9
10 2.7701718×10-11

The Dickman-de Bruijn function ρ(u) satisfies the delay differential equation

u\rho'(u) + \rho(u-1) = 0\,

with initial conditions ρ(u) = 1 for 0 ≤ u ≤ 1. Dickman showed heuristically that

\Psi(x, x^{1/a})\sim x\rho(a)\,

where Ψ(x,y), the de Bruijn function, counts the number of y-smooth integers below x.

Ramaswami later gave a rigorous proof that Ψ(x,x1 / a) was asymptotic to ρ(a),[1] along with the error bound

\Psi(x,x^{1/a})=x\rho(a)+\mathcal{O}(x/\log x)

in Big O notation.

Contents

[edit] Estimation

A first approximation might be \rho(u)\approx u^{-u}.\, A better estimate is[2]

\rho(u)\sim\frac{1}{\xi\sqrt{2\pi x}}\cdot\exp(-x\xi+\operatorname{Ei}(\xi))

where Ei is the exponential integral and ξ is the positive root of

e^\xi-1=x\xi.\,

A simple upper bound is \rho(x)\le1/x!

[edit] Computation

For each interval [n − 1,n] with n an integer, there is an analytic function ρn such that ρn(u) = ρ(u). For 0 ≤ u ≤ 1, ρ(u) = 1. For 1 ≤ u ≤ 2, ρ(u) = 1 − logu. For 2 ≤ u ≤ 3,

\rho(u) = 1-(1-\log(x-1))\log(x) + \operatorname{Li}_2(1 - x) + \frac{\pi^2}{12}.

with Li2 the dilogarithm. Other ρn can be found with infinite series.[3]

An alternate method is computing lower and upper bounds with the trapezoidal rule;[2] a mesh of progressively finer sizes allows for arbitrary accuracy. For high precision calculations (hundreds of digits), a recursive series expansion about the midpoints of the intervals is superior.[4]

[edit] Expansion

Bach and Peralta define a two-dimensional analog σ(u,v) of ρ(u).[3] This function is used to estimate a function Ψ(x,y,z) similar to de Bruijn's, but counting the number of y-smooth integers with at most one prime factor greater than z. Then

\Psi(x,x^{1/a},x^{1/b})\sim x\sigma(b,a)\,

[edit] References

  1. ^ V. Ramaswami, "On the number of positive integers less than x and free of prime divisors greater than xc". Bulletin of the American Mathematical Society 55 (1949), pp. 1122–1127.
  2. ^ a b J. van de Lune and E. Wattel, "On the Numerical Solution of a Differential-Difference Equation Arising in Analytic Number Theory". Mathematics of Computation 23, no. 106 (1969), pp. 417–421.
  3. ^ a b Eric Bach and René Peralta, "Asymptotic Semismoothness Probabilities". Mathematics of Computation 65, no. 216 (1996), pp. 1701–1715.
  4. ^ George Marsaglia, Arif Zaman, and John C. W. Marsaglia, "Numerical Solution of Some Classical Differential-Difference Equations". Mathematics of Computation 53, no. 187 (1989), pp. 191–201.

[edit] External links

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