Isoelastic function

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In computer science, the complexity function of a string, a finite or infinite sequence u of letters from some alphabet, is the function pu(n) of a positive integer n that counts the number of different factors (consecutive substrings) of length n from the string u.[1][2][3][4][5]

For a string u of length at least n over an alphabet of size k we clearly have

the bounds being achieved by the constant word and a disjunctive word,[6] for example, the Champernowne word respectively.[7] For infinite words u, we have pu(n) bounded if u is ultimately periodic (a finite, possibly empty, sequence followed by a finite cycle). Conversely, if pu(n) ≤ n for some n, then u is ultimately periodic.[3][8]

An aperiodic sequence is one which is not ultimately periodic. An aperiodic sequence has strictly increasing complexity function (this is the Morse–Hedlund theorem),[9] so p(n) is at least n+1.[10]

A set S of finite binary words is balanced if for each n the subset Sn of words of length n has the property that the Hamming weight of the words in Sn takes at most two distinct values. A balanced sequence is one for which the set of factors is balanced.[11] A balanced sequence has complexity sequence at most n+1.[12]

A Sturmian word over a binary alphabet is one with complexity function n + 1.[13] A sequence is Sturmian if and only if it is balanced and aperiodic.[2][14] An example is the Fibonacci word.[13][15] More generally, a Sturmian word over an alphaber of size k is one with complexity n+k−1. An Arnoux-Rauzy word over a ternary alphabet has complexity 2n + 1:[13] an example is the Tribonacci word.[16]

For recurrent words, those in which each factor appears infinitely often, the complexity function almosr characterises the set of factors: if s is a recurrent word with the same complexity function as t are then s has the same set of factors as t or δt where δ denotes the letter doubling morphism aaa.[17]

The topological entropy of an infinite sequence u is defined by

The limit exists as the logarithm of the complexity function is subadditive.[18][19] Every real number between 0 and 1 occurs as the topological entry of some sequence.[20]

For x a real number and b an integer ≥ 2 then the complexity function of x in base b is the complexity function p(x,b,n) of the sequence of digits of x written in base b. If x is an irrational number then p(x,b,n) ≥ n+1; if x is rational then p(x,b,n) ≤ C for some constant C depending on x and b.[6]

References

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  1. Lothaire (2011) p.7
  2. 2.0 2.1 Lothaire (2011) p.46
  3. 3.0 3.1 Pytheas Fogg (2002) p.3
  4. Berstel et al (2009) p.82
  5. Allouche & Shallit (2003) p.298
  6. 6.0 6.1 Bugeaud (2012) p.91
  7. Cassaigne & Nicolas (2010) p.165
  8. Allouche & Shallit (2003) p.302
  9. Cassaigne & Nicolas (2010) p.166
  10. Lothaire (2011) p.22
  11. Allouche & Shallit (2003) p.313
  12. Lothaire (2011) p.48
  13. 13.0 13.1 13.2 Pytheas Fogg (2002) p.6
  14. Allouche & Shallit (2003) p.318
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  16. Pytheas Fogg (2002) p.368
  17. Berstel et al (2009) p.84
  18. Pytheas Fogg (2002) p.4
  19. Allouche & Shallit (2003) p.303
  20. Cassaigne & Nicolas (2010) p.169