Analytic combinatorics

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Analytic combinatorics uses techniques from complex analysis to solve problems in enumerative combinatorics, specifically to find asymptotic estimates for the coefficients of generating functions.[1][2][3]

History[edit]

One of the earliest uses of analytic techniques for an enumeration problem came from Srinivasa Ramanujan and G. H. Hardy's work on integer partitions,[4][5] starting in 1918, first using a Tauberian theorem and later the circle method.[6]

Walter Hayman's 1956 paper A Generalisation of Stirling's Formula is considered one of the earliest examples of the saddle-point method.[7][8][9]

In 1990, Philippe Flajolet and Andrew Odlyzko developed the theory of singularity analysis.[10]

In 2009, Philippe Flajolet and Robert Sedgewick wrote the book Analytic Combinatorics.

Some of the earliest work on multivariate generating functions started in the 1970s using probabilistic methods.[11][12]

Development of further multivariate techniques started in the early 2000s.[13]

Techniques[edit]

Meromorphic functions[edit]

If is a meromorphic function and is its pole closest to the origin with order , then[14]

as

Tauberian theorem[edit]

If

as

where and is a slowly varying function, then[15]

as

See also the Hardy–Littlewood Tauberian theorem.

Circle Method[edit]

For generating functions with logarithms or roots, which have branch singularities.[16]

Darboux's method[edit]

If we have a function where and has a radius of convergence greater than and a Taylor expansion near 1 of , then[17]

See Szegő (1975) for a similar theorem dealing with multiple singularities.

Singularity analysis[edit]

If has a singularity at and

as

where then[18]

as

Saddle-point method[edit]

For generating functions including entire functions which have no singularities.[19][20]

Intuitively, the biggest contribution to the contour integral is around the saddle point and estimating near the saddle-point gives us an estimate for the whole contour.

If is an admissible function,[21] then[22][23]

as

where .

See also the method of steepest descent.

Notes[edit]

  1. ^ Melczer 2021, pp. vii and ix.
  2. ^ Pemantle and Wilson 2013, pp. xi.
  3. ^ Flajolet and Sedgewick 2009, pp. ix.
  4. ^ Melczer 2021, pp. vii.
  5. ^ Pemantle and Wilson 2013, pp. 62-63.
  6. ^ Pemantle and Wilson 2013, pp. 62.
  7. ^ Pemantle and Wilson 2013, pp. 63.
  8. ^ Wilf 2006, pp. 197.
  9. ^ Flajolet and Sedgewick 2009, pp. 607.
  10. ^ Flajolet and Sedgewick 2009, pp. 438.
  11. ^ Melczer 2021, pp. 13.
  12. ^ Flajolet and Sedgewick 2009, pp. 650 and 717.
  13. ^ Melczer 2021, pp. 13-14.
  14. ^ Sedgewick 4, pp. 59
  15. ^ Flajolet and Sedgewick 2009, pp. 435. Hardy 1949, pp. 166. I use the form in which it is stated by Flajolet and Sedgewick.
  16. ^ Pemantle and Wilson 2013, pp. 55-56.
  17. ^ Wilf 2006, pp. 194.
  18. ^ Flajolet and Sedgewick 2009, pp. 393.
  19. ^ Wilf 2006, pp. 196.
  20. ^ Flajolet and Sedgewick 2009, pp. 542.
  21. ^ See Flajolet and Sedgewick 2009, pp. 565 or Wilf 2006, pp. 199.
  22. ^ Flajolet and Sedgewick 2009, pp. 553.
  23. ^ Sedgewick 8, pp. 25.

References[edit]

  • Flajolet, Philippe; Sedgewick, Robert (2009). Analytic Combinatorics (PDF). Cambridge University Press.
  • Hardy, G.H. (1949). Divergent Series (1st ed.). Oxford University Press.
  • Melczer, Stephen (2021). An Invitation to Analytic Combinatorics: From One to Several Variables (PDF). Springer Texts & Monographs in Symbolic Computation.
  • Pemantle, Robin; Wilson, Mark C. (2013). Analytic Combinatorics in Several Variables (PDF). Cambridge University Press.
  • Sedgewick, Robert. "4. Complex Analysis, Rational and Meromorphic Asymptotics" (PDF). Retrieved 4 November 2023.
  • Sedgewick, Robert. "8. Saddle-Point Asymptotics" (PDF). Retrieved 4 November 2023.
  • Szegő, Gabor (1975). Orthogonal Polynomials (4th ed.). American Mathematical Society.
  • Wilf, Herbert S. (2006). Generatingfunctionology (PDF) (3rd ed.). A K Peters, Ltd.

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Further reading[edit]

External links[edit]

See also[edit]