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In [[number theory]], a '''smooth (or friable) number''' is an [[integer]] which [[integer factorization|factors]] completely into small [[prime number]]s. The term seems to have been coined by [[Leonard Adleman]].<ref>M. E. Hellman, J. M. Reyneri, "Fast computation of discrete logarithms in GF (q)", in ''Advances in Cryptology: Proceedings of CRYPTO '82'' (eds. D. Chaum, R. Rivest, A. Sherman), New York: Plenum Press, 1983, p. 3–13, [http://scholar.google.com/scholar?q=%22Adleman+refers+to+integers+which+factor+completely+into+small+primes+as+smooth+numbers.%22 online quote] at [[Google Scholar]]: "Adleman refers to integers which factor completely into small primes as “smooth” numbers."</ref> Smooth numbers are especially important in [[cryptography]] relying on factorization.
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A [[negative and positive numbers|positive]] [[integer]] is called <var>B</var>-'''smooth''' if none of its [[prime factor]]s is greater than <var>B</var>. For example, 1,620 has prime factorization 2<sup>2</sup> × 3<sup>4</sup> × 5; therefore 1,620 is 5-smooth because none of its prime factors are greater than 5. This definition includes numbers that lack some of the smaller prime factors; for example, both 10 and 12 are 5-smooth, despite the fact that they miss out prime factors 3 and 5 respectively. 5-smooth numbers are also called ''[[regular number]]s'' or ''Hamming numbers''; 7-smooth numbers are also called ''humble'', and sometimes called ''highly composite''[http://oeis.org/search?q=humble+number&sort=&language=&go=Search], although this conflicts with [[highly composite number|another meaning of that term]].
 
Note that <var>B</var> does not have to be a prime factor. If the largest prime factor of a number is <var>p</var> then the number is <var>B</var>-smooth for any <var>B</var> ≥ <var>p</var>. Usually <var>B</var> is given as a prime, but [[composite number]]s work as well. A number is <var>B</var>-smooth [[if and only if]] it is <var>p</var>-smooth, where <var>p</var> is the largest prime less than or equal to <var>B</var>.
 
==Applications==
An important practical application of smooth numbers is for [[fast Fourier transform]] (FFT) algorithms such as the [[Cooley–Tukey FFT algorithm]] that operate by recursively breaking down a problem of a given size ''n'' into problems the size of its factors. By using ''B''-smooth numbers, one ensures that the base cases of this recursion are small primes, for which efficient algorithms exist. (Large prime sizes require less-efficient algorithms such as [[Bluestein's FFT algorithm]].)
 
5-smooth or [[regular number]]s play a special role in [[Babylonian mathematics]].<ref>{{citation
| authorlink = Aaboe
| last = Aaboe | first = Asger
| title = Some Seleucid mathematical tables (extended reciprocals and squares of regular numbers)
| journal = Journal of Cuneiform Studies
| volume = 19
| issue = 3
| pages = 79–86
| year = 1965
| id = {{MathSciNet | id = 0191779}}
| doi = 10.2307/1359089}}.</ref> They are also important in [[music theory]],<ref>{{citation
| last = Longuet-Higgins | first = H. C.
| year = 1962
| title = Letter to a musical friend
| journal = Music Review
| issue = August
| pages = 244–248}}.</ref> (see [[Limit (music)]]) and the problem of generating these numbers efficiently has been used as a test problem for [[functional programming]].<ref>{{citation
  | authorlink = Edsger W. Dijkstra | last = Dijkstra | first = Edsger W.
| title = Hamming's exercise in SASL
| year = 1981
| url = http://www.cs.utexas.edu/users/EWD/ewd07xx/EWD792.PDF
| id = Report EWD792. Originally a privately circulated handwitten note}}.</ref>
 
Smooth numbers have a number of applications to cryptography.<ref>David Naccache, Igor Shparlinski, "Divisibility, Smoothness and Cryptographic Applications", http://eprint.iacr.org/2008/437.pdf</ref>  Although most applications involve [[cryptanalysis]] (e.g. the fastest known [[integer factorization]] algorithms), the [[Very smooth hash|VSH]] hash function is one example of a constructive use of smoothness to obtain a [[Provably secure cryptographic hash function|provably secure design]].
 
==Distribution==
 
Let <math>\scriptstyle \Psi(x,y)</math> denote the number of ''y''-smooth integers less than or equal to ''x'' (the de Bruijn function).
 
If the smoothness bound ''B'' is fixed and small, there is a good estimate for <math>\scriptstyle\Psi(x,B)</math>:
 
:<math> \Psi(x,B) \sim  \frac{1}{\pi(B)!} \prod_{p\le B}\frac{\log x}{\log p}. </math>
where <math>\scriptstyle{\pi(B)}</math> denotes the number of primes less than or equal to <math>\scriptstyle B</math>.
 
Otherwise, define the parameter ''u'' as ''u'' = log&nbsp;''x''&nbsp;/&nbsp;log&nbsp;''y'': that is, ''x'' = ''y''<sup>''u''</sup>. Then,
 
:<math> \Psi(x,y) = x\cdot \rho(u) + O\left(\frac{x}{\log y}\right)</math>
 
where <math>\scriptstyle\rho(u)</math> is the [[Dickman function]].
 
==Powersmooth numbers==<!-- This section is linked from [[Table of prime factors]] -->
 
Further, ''m'' is called ''B''-'''powersmooth''' (or ''B''-'''ultrafriable''') if all prime ''powers'' <math>\scriptstyle p^{\nu}</math> dividing ''m'' satisfy:
 
:<math>p^{\nu} \leq B.\,</math>
 
For example, 2<sup>4</sup>3<sup>2</sup>5<sup>1</sup> is 5-smooth, but is not 5-powersmooth. It is 16-powersmooth since its greatest prime factor power is 2<sup>4</sup> = 16. The number is also 17-powersmooth, 18-powersmooth, etc.  
 
''B''-smooth and ''B''-powersmooth numbers have applications in number theory, such as in [[Pollard's p &minus; 1 algorithm|Pollard's ''p''&nbsp;&minus;&nbsp;1 algorithm]]. Such applications are often said to work with "smooth numbers," with no ''B'' specified; this means the numbers involved must be ''B''-smooth for some unspecified small number ''B''; as ''B'' increases, the performance of the algorithm or method in question degrades rapidly. For example, the [[Pohlig–Hellman algorithm]] for computing [[discrete logarithm]]s has a running time of [[asymptotic notation|O]](''B''<sup>1/2</sup>) for [[group (mathematics)|group]]s of ''B''-smooth order.
 
==See also==
*[[Rough number]]
*[[Størmer's theorem]]
*[[Highly composite number]]
 
==Notes==
<references/>
 
==References==
* G. Tenenbaum, ''Introduction to analytic and probabilistic number theory'', (CUP, 1995) ISBN 0-521-41261-7
* [[A. Granville]], [http://www.dms.umontreal.ca/~andrew/PDF/msrire.pdf ''Smooth numbers: Computational number theory and beyond''], Proc. of MSRI workshop, 2008
 
==External links==
* {{mathworld|urlname=SmoothNumber|title=Smooth Number}}
The [[On-Line Encyclopedia of Integer Sequences]] (OEIS)
lists ''B''-smooth numbers for small ''B''s:
* 2-smooth numbers: [[OEIS:A000079|A000079]] (2<sup>''i''</sup>)
* 3-smooth numbers: [[OEIS:A003586|A003586]] (2<sup>''i''</sup>3<sup>''j''</sup>)
* 5-smooth numbers: [[OEIS:A051037|A051037]] (2<sup>''i''</sup>3<sup>''j''</sup>5<sup>''k''</sup>)
* 7-smooth numbers: [[OEIS:A002473|A002473]] (2<sup>''i''</sup>3<sup>''j''</sup>5<sup>''k''</sup>7<sup>''l''</sup>)
* 11-smooth numbers: [[OEIS:A051038|A051038]] (etc...)
* 13-smooth numbers: [[OEIS:A080197|A080197]]
* 17-smooth numbers: [[OEIS:A080681|A080681]]
* 19-smooth numbers: [[OEIS:A080682|A080682]]
* 23-smooth numbers: [[OEIS:A080683|A080683]]
 
 
{{Divisor classes}}
{{Classes of natural numbers}}
 
[[Category:Analytic number theory]]
[[Category:Integer sequences]]

Latest revision as of 06:22, 24 August 2014

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