Normal order of an arithmetic function: Difference between revisions
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In [[mathematics]], in the field of [[number theory]], the '''normal order of an arithmetic function''' is some simpler or better-understood function which "usually" takes the same or closely approximate values. | In [[mathematics]], in the field of [[number theory]], the '''normal order of an arithmetic function''' is some simpler or better-understood function which "usually" takes the same or closely approximate values. | ||
Let ''f'' be a function on the [[natural number]]s. We say that the ''normal order'' of ''f'' is ''g'' if for every &epsilon > 0, the inequalities | Let ''f'' be a function on the [[natural number]]s. We say that the ''normal order'' of ''f'' is ''g'' if for every ε > 0, the inequalities | ||
:<math> (1-\epsilon) g(n) \le f(n) \le (1+\epsilon) g(n) \, </math> | :<math> (1-\epsilon) g(n) \le f(n) \le (1+\epsilon) g(n) \, </math> |
Revision as of 01:26, 3 December 2008
In mathematics, in the field of number theory, the normal order of an arithmetic function is some simpler or better-understood function which "usually" takes the same or closely approximate values.
Let f be a function on the natural numbers. We say that the normal order of f is g if for every ε > 0, the inequalities
hold for almost all n: that is, if the proportion of n ≤ x for which this does not hold tends to 0 as x tends to infinity.
It is conventional to assume that the approximating function g is continuous and monotone.
Examples
- The Hardy–Ramanujan theorem: the normal order of ω(n), the number of distinct prime factors of n, is log(log(n));
- The normal order of log(d(n)), where d(n) is the number of divisors of n, is log(2) log log(n).
See also
References
- G.H. Hardy; S. Ramanujan (1917). "The normal number of prime factors of a number". Quart. J. Math. 48: 76–92.
- G.H. Hardy; E.M. Wright (2008). An Introduction to the Theory of Numbers, 6th ed.. Oxford University Press, 473. ISBN 0-19-921986-5.
- Gérald Tenenbaum (1995). Introduction to Analytic and Probabilistic Number Theory. Cambridge University Press, 299-324. ISBN 0-521-41261-7.