ANALYTIC COMBINATORICS Philippe FLAJOLET Bologna, June 2010 - - PowerPoint PPT Presentation

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ANALYTIC COMBINATORICS Philippe FLAJOLET Bologna, June 2010 - - PowerPoint PPT Presentation

ANALYTIC COMBINATORICS Philippe FLAJOLET Bologna, June 2010 Wednesday, June 2, 2010 1 Counting... Wednesday, June 2, 2010 2 Counting (and asymptotics) Binary trees => Catalan numbers Formula is Growth rate is ( asymptotics ) Wednesday,


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ANALYTIC COMBINATORICS

Philippe FLAJOLET

Bologna, June 2010

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Counting...

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Counting (and asymptotics)

Binary trees => Catalan numbers Formula is Growth rate is (asymptotics)

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increasing tree plane tree

Counting (and probabilities)

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E.g. binary trees: 1,1,2,5,14,42,... Bijective combinatorics = first principles Generating function methods ... Algebraic methods (e.g., symmetric fns, operator)

Counting (methods)

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Generating Functions (GFs)

Combinatorial class C; counting sequence (Cn): C = ⇒    C(z) =

  • Cnzn

(OGF) ˆ C(z) =

  • Cn

zn n! (EGF) Get GFs combinatorics algebra of special fns Look at GFs as mappings of complex plane, z ∈ C algebra of special fns complex analysis For parameters, add extra variables complex analysis perturbation theory

1 / 1

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Discrete Continuous

(a digital tree aka trie of size 500) (a generating function in the complex plane)

A Calculus of Discrete Structures

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FREE algo.inria.fr/flajolet

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Analytic Combinatorics

  • A. Combinatorial structures
  • B. Analytic structures
  • C. Randomness properties

for objects given by constructions

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Quotations (1)

Laplace discovered the remarkable correspondence between set theoretic operations and operations on formal power series and put it to great use to solve a variety of combinatorial problems.— G.–C. ROTA La méthode des fonctions génératrices, qui a exercé ses ravages pendant un siècle, est tombée en désuétude... — Claude BERGE

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Quotations (2)

Despite all appearances they [generating functions] belong to algebra and not to analysis. Combinatorialists use recurrence, generating functions, and such transformations as the Vandermonde convolution;

  • thers to my horror, use contour integrals,

differential equations, and other resources of mathematical analysis. — John RIORDAN

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PART I

Symbolic Methods

*1. Unlabelled structures & OGFs * 2. Labelled structures and EGFs * 3. Parameters and multivariate GFs

Embed a fragment of set theory into a language of constructions; map to algebra(s) of special functions.

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Chapter I

Unlabelled structures and OGFs

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Embed a fragment of set theory into a language of constructions; map combinatorics to algebra(s) of special functions.

Symbolic Methods

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Outline

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Summary:

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Roots...

A modicum of Pólya theory (1937) Schützenberger: languages and GFs (~1960) Rota-Stanley = MIT School (1970s) Goulden-Jackson = constructions (~1980) Joyal’s theory of species +BLL (1980s)

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Catalan numbers again!

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A variety of classes => a variety of “special functions”

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Algebraic functions (1)

Arise from specifications (CF grammars), with +, x, Seq Elimination: system -> single equation P(x,y)=0 Coefficients are “combinatorial sums”

[e.g., Sokal, SLC 2009]

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MAPS: Tutte’s quadratic method;

cf Cori, Bousquet-Mélou et al., Bordeaux School...

EXCURSIONS: the kernel method;

cf Lalley 1993, Banderier-F 2001, MBM

Algebraic functions (2)

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Chapter 2

Labelled structures and EGFs

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(End of proof of Theorem)

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labelled

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runs in perms

Chapter 3. Parameters and Multivariate GFs

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PRINCIPLE: Add variables marking parameters at appropriate places and recycle:

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Conclusions (Part I)

[Chapter 3]: Multivariate GFs give access to parameters; those that can be

  • btained by “marking” in combinatorial

constructions. [Chapters 1-2-3]: Exploit all this asymptotically? counting; mean, variance, distribution?

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