Analytic combinatorics

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

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

Meromorphic functions

If ${\displaystyle h(z)={\frac {f(z)}{g(z)}}}$ is a meromorphic function and ${\displaystyle a}$ is its pole closest to the origin with order ${\displaystyle m}$, then^[14]

${\displaystyle [z^{n}]h(z)\sim {\frac {(-1)^{m}mf(a)}{a^{m}g^{(m)}(a)}}\left({\frac {1}{a}}\right)^{n}n^{m-1}\quad }$ as ${\displaystyle n\to \infty }$

Tauberian theorem

If

${\displaystyle f(z)\sim {\frac {1}{(1-z)^{\sigma }}}L({\frac {1}{1-z}})\quad }$ as ${\displaystyle z\to 1}$

where ${\displaystyle \sigma >0}$ and ${\displaystyle L}$ is a slowly varying function, then^[15]

${\displaystyle [z^{n}]f(z)\sim {\frac {n^{\sigma -1}}{\Gamma (\sigma )}}L(n)\quad }$ as ${\displaystyle n\to \infty }$

See also the Hardy–Littlewood Tauberian theorem.

Circle Method

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

Darboux's method

If we have a function ${\displaystyle (1-z)^{\beta }f(z)}$ where ${\displaystyle \beta \notin \{0,1,2,\ldots \}}$ and ${\displaystyle f(z)}$ has a radius of convergence greater than ${\displaystyle 1}$ and a Taylor expansion near 1 of ${\displaystyle \sum _{j\geq 0}f_{j}(1-z)^{j}}$, then^[17]

${\displaystyle [z^{n}](1-z)^{\beta }f(z)=\sum _{j=0}^{m}f_{j}{\frac {n^{-\beta -j-1}}{\Gamma (-\beta -j)}}+O(n^{-m-\beta -2})}$

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

Singularity analysis

If ${\displaystyle f(z)}$ has a singularity at ${\displaystyle \zeta }$ and

${\displaystyle f(z)\sim \left(1-{\frac {z}{\zeta }}\right)^{\alpha }\left({\frac {1}{\frac {z}{\zeta }}}\log {\frac {1}{1-{\frac {z}{\zeta }}}}\right)^{\gamma }\left({\frac {1}{\frac {z}{\zeta }}}\log \left({\frac {1}{\frac {z}{\zeta }}}\log {\frac {1}{1-{\frac {z}{\zeta }}}}\right)\right)^{\delta }\quad }$ as ${\displaystyle z\to \zeta }$

where ${\displaystyle \alpha \notin \{0,1,2,\cdots \},\gamma ,\delta \notin \{1,2,\cdots \}}$ then^[18]

${\displaystyle [z^{n}]f(z)\sim \zeta ^{-n}{\frac {n^{-\alpha -1}}{\Gamma (-\alpha )}}(\log n)^{\gamma }(\log \log n)^{\delta }\quad }$ as ${\displaystyle n\to \infty }$

Saddle-point method

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 ${\displaystyle F(z)}$ is an admissible function,^[21] then^[22][23]

${\displaystyle [z^{n}]F(z)\sim {\frac {F(\zeta )}{\zeta ^{n+1}{\sqrt {2\pi f^{''}(\zeta )}}}}\quad }$ as ${\displaystyle n\to \infty }$

where ${\displaystyle F^{'}(\zeta )=0}$.

See also the method of steepest descent.

Notes

References

• 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.

As of 4th November 2023, this article is derived in whole or in part from Wikibooks. The copyright holder has licensed the content in a manner that permits reuse under CC BY-SA 3.0 and GFDL. All relevant terms must be followed.

Further reading

Wikibooks has a book on the topic of: Analytic Combinatorics

• De Bruijn, N.G. (1981). Asymptotic Methods in Analysis. Dover Publications.
• Flajolet, Philippe; Odlyzko, Andrew (1990). "Singularity analysis of generating functions" (PDF). SIAM Journal on Discrete Mathematics. 1990 (3).
• Mishna, Marni (2020). Analytic Combinatorics: A Multidimensional Approach. Taylor & Francis Group, LLC.
• Pemantle, Robin; Wilson, Mark C.; Melczer, Stephen (2024). Analytic Combinatorics in Several Variables (PDF) (2nd ed.). Cambridge University Press.
• Sedgewick, Robert. "6. Singularity Analysis" (PDF).

External links

• Analytic Combinatorics online course
• An Introduction to the Analysis of Algorithms online course
• Analytic Combinatorics in Several Variables projects
• An Invitation to Analytic Combinatorics

See also

• Symbolic method (combinatorics)
• Analytic Combinatorics (book)

This page was last edited on 29 May 2024, at 19:15