Arbres, cartes et nombres de Hurwitz CNRS & Gilles Schaeffer - - PowerPoint PPT Presentation

arbres cartes et nombres de hurwitz
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Arbres, cartes et nombres de Hurwitz CNRS & Gilles Schaeffer - - PowerPoint PPT Presentation

Arbres, cartes et nombres de Hurwitz CNRS & Gilles Schaeffer Ecole Polytechnique ERC Research Starting Grant 208471 ExploreMaps Colloquium du LAREMA, Angers, juin 2013 Plan de lexpos e Rev etements ramifi es et cartes


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SLIDE 1

Arbres, cartes et nombres de Hurwitz

Gilles Schaeffer

CNRS & ´ Ecole Polytechnique

ERC Research Starting Grant 208471 ”ExploreMaps” Colloquium du LAREMA, Angers, juin 2013

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SLIDE 2

Plan de l’expos´ e Revˆ etements ramifi´ es et cartes Cartes et arbres ´ Enum´ eration d’arbres et formule d’Hurwitz Revˆ etements et cartes al´ eatoires

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SLIDE 3

Plan de l’expos´ e

Plan de l’expos´ e

Revˆ etements ramifi´ es et cartes Cartes et arbres ´ Enum´ eration d’arbres et formule d’Hurwitz Revˆ etements et cartes al´ eatoires

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SLIDE 4

Ramified coverings of the sphere by itself

A mapping φ : D → I is a covering if, for all x in I there exists n ≥ 1 and a neighborhood V of x such that φ−1(V ) ∼ B × {1, . . . , n}, and the restriction of φ to each sheet Bi (connected component of the preimage) is an homeomorphism φ|Bi : Bi

→ B. Let B = {z | |z| < 1} ⊂ C and let ∼ denote equivalence up to homeomorphisms

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SLIDE 5

Ramified coverings of the sphere by itself

Let Ar be the annulus {z | r < |z| < 1} ⊂ C. Consider φk : Ar → Ark with φk(z) = zk. φ3 A mapping φ : D → I is a covering if, for all x in I there exists n ≥ 1 and a neighborhood V of x such that φ−1(V ) ∼ B × {1, . . . , n}, and the restriction of φ to each sheet Bi (connected component of the preimage) is an homeomorphism φ|Bi : Bi

→ B. Example: D I Let B = {z | |z| < 1} ⊂ C and let ∼ denote equivalence up to homeomorphisms

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SLIDE 6

Ramified coverings of the sphere by itself

Let Ar be the annulus {z | r < |z| < 1} ⊂ C. Consider φk : Ar → Ark with φk(z) = zk. φ3 A mapping φ : D → I is a covering if, for all x in I there exists n ≥ 1 and a neighborhood V of x such that φ−1(V ) ∼ B × {1, . . . , n}, and the restriction of φ to each sheet Bi (connected component of the preimage) is an homeomorphism φ|Bi : Bi

→ B. Example: x D I Let B = {z | |z| < 1} ⊂ C and let ∼ denote equivalence up to homeomorphisms

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SLIDE 7

Ramified coverings of the sphere by itself

Let Ar be the annulus {z | r < |z| < 1} ⊂ C. Consider φk : Ar → Ark with φk(z) = zk. φ3 A mapping φ : D → I is a covering if, for all x in I there exists n ≥ 1 and a neighborhood V of x such that φ−1(V ) ∼ B × {1, . . . , n}, and the restriction of φ to each sheet Bi (connected component of the preimage) is an homeomorphism φ|Bi : Bi

→ B. Example: x D I Let B = {z | |z| < 1} ⊂ C and let ∼ denote equivalence up to homeomorphisms

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SLIDE 8

Ramified coverings of the sphere by itself

Let Ar be the annulus {z | r < |z| < 1} ⊂ C. Consider φk : Ar → Ark with φk(z) = zk. φ3 A mapping φ : D → I is a covering if, for all x in I there exists n ≥ 1 and a neighborhood V of x such that φ−1(V ) ∼ B × {1, . . . , n}, and the restriction of φ to each sheet Bi (connected component of the preimage) is an homeomorphism φ|Bi : Bi

→ B. Example: x D I Let B = {z | |z| < 1} ⊂ C and let ∼ denote equivalence up to homeomorphisms

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SLIDE 9

Ramified coverings of the sphere by itself

Let Ar be the annulus {z | r < |z| < 1} ⊂ C. Consider φk : Ar → Ark with φk(z) = zk. φ3 A mapping φ : D → I is a covering if, for all x in I there exists n ≥ 1 and a neighborhood V of x such that φ−1(V ) ∼ B × {1, . . . , n}, and the restriction of φ to each sheet Bi (connected component of the preimage) is an homeomorphism φ|Bi : Bi

→ B. Example: x D I Let B = {z | |z| < 1} ⊂ C and let ∼ denote equivalence up to homeomorphisms

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SLIDE 10

Ramified coverings of the sphere by itself

Let Ar be the annulus {z | r < |z| < 1} ⊂ C. Consider φk : Ar → Ark with φk(z) = zk. φ3 A mapping φ : D → I is a covering if, for all x in I there exists n ≥ 1 and a neighborhood V of x such that φ−1(V ) ∼ B × {1, . . . , n}, and the restriction of φ to each sheet Bi (connected component of the preimage) is an homeomorphism φ|Bi : Bi

→ B. Example: x D I Let B = {z | |z| < 1} ⊂ C and let ∼ denote equivalence up to homeomorphisms

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SLIDE 11

Ramified coverings of the sphere by itself

Let Ar be the annulus {z | r < |z| < 1} ⊂ C. Consider φk : Ar → Ark with φk(z) = zk. By continuity, the number n = |φ−1(x)| of sheets of a covering φ does not depend on x: for instance n = k for φk. φ3 A mapping φ : D → I is a covering if, for all x in I there exists n ≥ 1 and a neighborhood V of x such that φ−1(V ) ∼ B × {1, . . . , n}, and the restriction of φ to each sheet Bi (connected component of the preimage) is an homeomorphism φ|Bi : Bi

→ B. Example: x D I Let B = {z | |z| < 1} ⊂ C and let ∼ denote equivalence up to homeomorphisms

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SLIDE 12

Ramified coverings of the sphere by itself

Let Ar be the annulus {z | r < |z| < 1} ⊂ C. Consider φk : Ar → Ark with φk(z) = zk. By continuity, the number n = |φ−1(x)| of sheets of a covering φ does not depend on x: for instance n = k for φk. φ3 The number n of sheets is called the degree of the covering. A mapping φ : D → I is a covering if, for all x in I there exists n ≥ 1 and a neighborhood V of x such that φ−1(V ) ∼ B × {1, . . . , n}, and the restriction of φ to each sheet Bi (connected component of the preimage) is an homeomorphism φ|Bi : Bi

→ B. Example: x D I Let B = {z | |z| < 1} ⊂ C and let ∼ denote equivalence up to homeomorphisms

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SLIDE 13

Ramified coverings of the sphere by itself

Let Ar be the annulus {z | r < |z| < 1} ⊂ C. Consider φk : Ar → Ark with φk(z) = zk. By continuity, the number n = |φ−1(x)| of sheets of a covering φ does not depend on x: for instance n = k for φk. φ3 What is we try to extend from Ar to B? The number n of sheets is called the degree of the covering. A mapping φ : D → I is a covering if, for all x in I there exists n ≥ 1 and a neighborhood V of x such that φ−1(V ) ∼ B × {1, . . . , n}, and the restriction of φ to each sheet Bi (connected component of the preimage) is an homeomorphism φ|Bi : Bi

→ B. Example: x D I Let B = {z | |z| < 1} ⊂ C and let ∼ denote equivalence up to homeomorphisms

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SLIDE 14

Ramified coverings of the sphere by itself

Recall φk : Ar → Ark with φk(z) = zk. φ3 Extend from Ar to B? The mapping φk : B∗ → B∗ is a covering, but not φk : B → B.

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SLIDE 15

Ramified coverings of the sphere by itself

Recall φk : Ar → Ark with φk(z) = zk. φ3 Extend from Ar to B? The mapping φk : B∗ → B∗ is a covering, What happens at x = 0? but not φk : B → B.

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SLIDE 16

Ramified coverings of the sphere by itself

Recall φk : Ar → Ark with φk(z) = zk. φ3 Extend from Ar to B? The mapping φk : B∗ → B∗ is a covering, What happens at x = 0? The mapping φk : B → B has a connected ramification of degree k at x = 0. but not φk : B → B.

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SLIDE 17

Ramified coverings of the sphere by itself

Recall φk : Ar → Ark with φk(z) = zk. φ3 Extend from Ar to B? A mapping φ is ramified at x = 0 if The mapping φk : B∗ → B∗ is a covering, What happens at x = 0? The mapping φk : B → B has a connected ramification of degree k at x = 0.

  • the restriction of φ to each component of φ−1(V ) is

homeomorphic to φk for some k.

  • there is a neighborhood V of the origin such that

φ−1(V ) ∼ B × [1, . . . , p] and, but not φk : B → B.

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SLIDE 18

Ramified coverings of the sphere by itself

Recall φk : Ar → Ark with φk(z) = zk. φ3 Extend from Ar to B? A mapping φ is ramified at x = 0 if The mapping φk : B∗ → B∗ is a covering, What happens at x = 0? The mapping φk : B → B has a connected ramification of degree k at x = 0.

  • the restriction of φ to each component of φ−1(V ) is

homeomorphic to φk for some k.

  • there is a neighborhood V of the origin such that

φ−1(V ) ∼ B × [1, . . . , p] and, but not φk : B → B.

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SLIDE 19

Ramified coverings of the sphere by itself

Recall φk : Ar → Ark with φk(z) = zk. φ3 Extend from Ar to B? A mapping φ is ramified at x = 0 if The mapping φk : B∗ → B∗ is a covering, What happens at x = 0? The mapping φk : B → B has a connected ramification of degree k at x = 0.

  • the restriction of φ to each component of φ−1(V ) is

homeomorphic to φk for some k.

  • there is a neighborhood V of the origin such that

φ−1(V ) ∼ B × [1, . . . , p] and, Regular (aka unramified) value = ramified with φ1 on each component. but not φk : B → B.

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SLIDE 20

Ramified coverings of the sphere by itself

Recall φk : Ar → Ark with φk(z) = zk. φ3 Extend from Ar to B? A mapping φ is ramified at x = 0 if The mapping φk : B∗ → B∗ is a covering, What happens at x = 0? The mapping φk : B → B has a connected ramification of degree k at x = 0.

  • the restriction of φ to each component of φ−1(V ) is

homeomorphic to φk for some k.

  • there is a neighborhood V of the origin such that

φ−1(V ) ∼ B × [1, . . . , p] and, Regular (aka unramified) value = ramified with φ1 on each component. ramified regular but not φk : B → B.

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SLIDE 21

Ramified coverings of the sphere by itself (Cont’d)

A mapping φ is a ramified covering of S by S if there exists a finite subset X = {x1, . . . , xp} such that:

regular value critical value critical value

D = S I = S

  • φS\φ−1(X) is a covering, and
  • φ is ramified over each xi
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SLIDE 22

Ramified coverings of the sphere by itself (Cont’d)

A mapping φ is a ramified covering of S by S if there exists a finite subset X = {x1, . . . , xp} such that:

λ(1) = 15 λ(2) = 1, 22 λ(2) = 2, 3 regular value critical value critical value

D = S I = S

  • φS\φ−1(X) is a covering, and
  • φ is ramified over each xi

On each component Vj of φ−1(V (xi)), φ ∼ φλ(i)

j

for some integer λ(i)

j .

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SLIDE 23

Ramified coverings of the sphere by itself (Cont’d)

A mapping φ is a ramified covering of S by S if there exists a finite subset X = {x1, . . . , xp} such that:

λ(1) = 15 λ(2) = 1, 22 λ(2) = 2, 3 regular value critical value critical value

D = S I = S

  • φS\φ−1(X) is a covering, and
  • φ is ramified over each xi

generically n sheets id id id id id φ2 φ2 φ3 φ2 id

On each component Vj of φ−1(V (xi)), φ ∼ φλ(i)

j

for some integer λ(i)

j .

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SLIDE 24

Ramified coverings of the sphere by itself (Cont’d)

A mapping φ is a ramified covering of S by S if there exists a finite subset X = {x1, . . . , xp} such that:

λ(1) = 15 λ(2) = 1, 22 λ(2) = 2, 3 the passport Λ = (λ(1), . . . , λ(p)) of a ramified covering regular value critical value critical value

D = S I = S

  • φS\φ−1(X) is a covering, and
  • φ is ramified over each xi

generically n sheets id id id id id φ2 φ2 φ3 φ2 id

The ramification type over a critical value xi is the partition λ(i) On each component Vj of φ−1(V (xi)), φ ∼ φλ(i)

j

for some integer λ(i)

j .

The passport of a ramified covering is the list Λ = (λ(1), . . . , λ(p))

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SLIDE 25

Ramified coverings of the sphere by itself (Cont’d)

λ(1) = 15 λ(2) = 1, 22 λ(2) = 2, 3 the passport Λ = (λ(1), . . . , λ(p)) of a ramified covering regular value critical value critical value

D = S I = S

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SLIDE 26

Ramified coverings of the sphere by itself (Cont’d)

λ(1) = 15 λ(2) = 1, 22 λ(2) = 2, 3 the passport Λ = (λ(1), . . . , λ(p)) of a ramified covering regular value critical value critical value φ2 φ2 φ3 φ2 id id id id id id generically n sheets

D = S I = S

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SLIDE 27

Ramified coverings of the sphere by itself (Cont’d)

λ(1) = 15 λ(2) = 1, 22 λ(2) = 2, 3 the passport Λ = (λ(1), . . . , λ(p)) of a ramified covering regular value critical value critical value φ2 φ2 φ3 φ2 id id id id id id generically n sheets

To understand the ”shape” of the covering, draw paths on I and study its preimages. D = S I = S

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SLIDE 28

Ramified coverings of the sphere by itself (Cont’d)

λ(1) = 15 λ(2) = 1, 22 λ(2) = 2, 3 the passport Λ = (λ(1), . . . , λ(p)) of a ramified covering regular value critical value critical value

To understand the ”shape” of the covering, draw paths on I and study its preimages. D = S I = S

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SLIDE 29

Ramified coverings of the sphere by itself (Cont’d)

λ(1) = 15 λ(2) = 1, 22 λ(2) = 2, 3 the passport Λ = (λ(1), . . . , λ(p)) of a ramified covering regular value critical value critical value

To understand the ”shape” of the covering, draw paths on I and study its preimages.

  • n independant preimages as long

as we stay away from critical points D = S I = S

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SLIDE 30

Ramified coverings of the sphere by itself (Cont’d)

λ(1) = 15 λ(2) = 1, 22 λ(2) = 2, 3 the passport Λ = (λ(1), . . . , λ(p)) of a ramified covering regular value critical value critical value

To understand the ”shape” of the covering, draw paths on I and study its preimages.

  • n independant preimages as long

as we stay away from critical points

  • a contractible loop on I

D = S I = S

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SLIDE 31

Ramified coverings of the sphere by itself (Cont’d)

λ(1) = 15 λ(2) = 1, 22 λ(2) = 2, 3 the passport Λ = (λ(1), . . . , λ(p)) of a ramified covering regular value critical value critical value

To understand the ”shape” of the covering, draw paths on I and study its preimages.

  • n independant preimages as long

as we stay away from critical points

  • a contractible loop on I

yields n contractible loops on D D = S I = S

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SLIDE 32

Ramified coverings of the sphere by itself (Cont’d)

λ(1) = 15 λ(2) = 1, 22 λ(2) = 2, 3 the passport Λ = (λ(1), . . . , λ(p)) of a ramified covering regular value critical value critical value

To understand the ”shape” of the covering, draw paths on I and study its preimages.

  • n independant preimages as long

as we stay away from critical points

  • a contractible loop on I

yields n contractible loops on D D = S I = S

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SLIDE 33

Ramified coverings of the sphere by itself (Cont’d)

λ(1) = 15 λ(2) = 1, 22 λ(2) = 2, 3 the passport Λ = (λ(1), . . . , λ(p)) of a ramified covering regular value critical value critical value

To understand the ”shape” of the covering, draw paths on I and study its preimages.

  • n independant preimages as long

as we stay away from critical points

  • a contractible loop on I

yields n contractible loops on D D = S I = S but if we wind around critical points

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SLIDE 34

Ramified coverings of the sphere by itself (Cont’d)

λ(1) = 15 λ(2) = 1, 22 λ(2) = 2, 3 the passport Λ = (λ(1), . . . , λ(p)) of a ramified covering regular value critical value critical value

To understand the ”shape” of the covering, draw paths on I and study its preimages.

  • n independant preimages as long

as we stay away from critical points some sheets may get permuted

  • a contractible loop on I

yields n contractible loops on D D = S I = S but if we wind around critical points

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SLIDE 35

Ramified coverings of the sphere by itself (Cont’d)

λ(1) = 15 λ(2) = 1, 22 λ(2) = 2, 3 the passport Λ = (λ(1), . . . , λ(p)) of a ramified covering regular value critical value critical value

To understand the ”shape” of the covering, draw paths on I and study its preimages.

  • n independant preimages as long

as we stay away from critical points some sheets may get permuted

  • visiting critical points create

multiple values or ”vertices”

  • a contractible loop on I

yields n contractible loops on D D = S I = S but if we wind around critical points

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SLIDE 36

Ramified coverings of the sphere by itself (Cont’d)

λ(1) = 15 λ(2) = 1, 22 λ(2) = 2, 3 the passport Λ = (λ(1), . . . , λ(p)) of a ramified covering regular value critical value critical value

To understand the ”shape” of the covering, draw paths on I and study its preimages.

  • n independant preimages as long

as we stay away from critical points some sheets may get permuted

  • visiting critical points create

multiple values or ”vertices”

  • a contractible loop on I

yields n contractible loops on D D = S I = S but if we wind around critical points

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SLIDE 37

Ramified coverings of the sphere by itself (Cont’d)

λ(1) = 15 λ(2) = 1, 22 λ(2) = 2, 3 the passport Λ = (λ(1), . . . , λ(p)) of a ramified covering regular value critical value critical value

To understand the ”shape” of the covering, draw paths on I and study its preimages.

  • n independant preimages as long

as we stay away from critical points some sheets may get permuted

  • visiting critical points create

multiple values or ”vertices” ⇒ The partitions λ(i) are partitions of n, degree of the covering.

  • a contractible loop on I

yields n contractible loops on D D = S I = S but if we wind around critical points

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SLIDE 38

Monodromy, and permutations

Loop ⇒ permutation of sheet labels Example: (1, 2)(3, 4)(5) in cyclic notation

1 2 3 4 5

Let us label {1, . . . , n} the preimages of a regular point. D = S I = S

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SLIDE 39

Monodromy, and permutations

Loop ⇒ permutation of sheet labels Example: (1, 2)(3, 4)(5) in cyclic notation

1 2 3 4 5

The permutation is invariant under continuous deformation of the loop provided it stays in S \ {X} Let us label {1, . . . , n} the preimages of a regular point. D = S I = S

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SLIDE 40

Monodromy, and permutations

Loop ⇒ permutation of sheet labels Example: (1, 2)(3, 4)(5) in cyclic notation Contractible loop in S \ X ⇒ identity permutation

1 2 3 4 5

The permutation is invariant under continuous deformation of the loop provided it stays in S \ {X} Let us label {1, . . . , n} the preimages of a regular point. D = S I = S

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SLIDE 41

Monodromy, and permutations

Loop ⇒ permutation of sheet labels Example: (1, 2)(3, 4)(5) in cyclic notation Contractible loop in S \ X ⇒ identity permutation Concatenation of two loops ⇒ product of the permutations

1 2 3 4 5

Example: (1)(2, 3, 4, 5) · (1, 2)(3, 4)(5) The permutation is invariant under continuous deformation of the loop provided it stays in S \ {X} Let us label {1, . . . , n} the preimages of a regular point. D = S I = S

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SLIDE 42

Monodromy, and permutations

Loop ⇒ permutation of sheet labels Example: (1, 2)(3, 4)(5) in cyclic notation Contractible loop in S \ X ⇒ identity permutation Concatenation of two loops ⇒ product of the permutations

1 2 3 4 5

Example: (1)(2, 3, 4, 5) · (1, 2)(3, 4)(5) The permutation is invariant under continuous deformation of the loop provided it stays in S \ {X} Let us label {1, . . . , n} the preimages of a regular point. D = S I = S

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SLIDE 43

Monodromy, and permutations

Loop ⇒ permutation of sheet labels Example: (1, 2)(3, 4)(5) in cyclic notation Contractible loop in S \ X ⇒ identity permutation Concatenation of two loops ⇒ product of the permutations

1 2 3 4 5

Example: (1)(2, 3, 4, 5) · (1, 2)(3, 4)(5) The permutation is invariant under continuous deformation of the loop provided it stays in S \ {X} Let us label {1, . . . , n} the preimages of a regular point. D = S I = S

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SLIDE 44

Monodromy, and permutations

Loop ⇒ permutation of sheet labels Example: (1, 2)(3, 4)(5) in cyclic notation Contractible loop in S \ X ⇒ identity permutation Concatenation of two loops ⇒ product of the permutations

1 2 3 4 5

Example: (1)(2, 3, 4, 5) · (1, 2)(3, 4)(5) The permutation is invariant under continuous deformation of the loop provided it stays in S \ {X} Let us label {1, . . . , n} the preimages of a regular point. D = S I = S ⇒ Equivalence classes of ramified coverings ≡ factorizations of permutations

slide-45
SLIDE 45

Monodromy, and permutations

Loop ⇒ permutation of sheet labels Example: (1, 2)(3, 4)(5) in cyclic notation Contractible loop in S \ X ⇒ identity permutation Concatenation of two loops ⇒ product of the permutations

1 2 3 4 5

Example: (1)(2, 3, 4, 5) · (1, 2)(3, 4)(5) The permutation is invariant under continuous deformation of the loop provided it stays in S \ {X} Let us label {1, . . . , n} the preimages of a regular point. D = S I = S but geometric intuition is lost ⇒ Equivalence classes of ramified coverings ≡ factorizations of permutations

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SLIDE 46

coverings with 3 critical values and bipartite maps

3 critical values

λ• = 2312 λ◦ = 322

D = S I = S

1 2 1 2 1 1 2 2 1 λ = 62 1

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SLIDE 47

coverings with 3 critical values and bipartite maps

3 critical values

λ• = 2312 λ◦ = 322 1 3 4 5 2 6 7

D = S I = S

1 2 1 2 1 1 2

1 regular value with labeled preimages

2 1 λ = 62 1 8

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SLIDE 48

coverings with 3 critical values and bipartite maps

3 critical values

λ• = 2312 λ◦ = 322 1 3 4 5 2 6 7

D = S I = S

1 2 1 2 1 1 2

1 regular value with labeled preimages

2 1 λ = 62 1 8

On I, draw an edge between • and ◦ via the basepoint

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SLIDE 49

coverings with 3 critical values and bipartite maps

3 critical values

λ• = 2312 λ◦ = 322 1 3 4 5 2 6 7

D = S I = S

1 2 1 2 1 1 2

1 regular value with labeled preimages

2 1 λ = 62 1 8

On I, draw an edge between • and ◦ via the basepoint We get a planar map: that is, a graph embedded on the sphere with simply connected faces

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SLIDE 50

coverings with 3 critical values and bipartite maps

3 critical values

λ• = 2312 λ◦ = 322 1 3 4 5 2 6 7

D = S I = S

1 2 1 2 1 1 2

1 regular value with labeled preimages

2 1 λ = 62 1 8

On I, draw an edge between • and ◦ via the basepoint We get a planar map: that is, a graph embedded on the sphere with simply connected faces

  • Proof. Faces are simply connected

because a loop around the edge in I can be deformed to a loop around

slide-51
SLIDE 51

coverings with 3 critical values and bipartite maps

3 critical values

λ• = 2312 λ◦ = 322 1 3 4 5 2 6 7

D = S I = S

1 2 1 2 1 1 2

1 regular value with labeled preimages

2 1 λ = 62 1 8

On I, draw an edge between • and ◦ via the basepoint We get a planar map: that is, a graph embedded on the sphere with simply connected faces

  • Proof. Faces are simply connected

because a loop around the edge in I can be deformed to a loop around

slide-52
SLIDE 52

coverings with 3 critical values and bipartite maps

3 critical values

λ• = 2312 λ◦ = 322 1 3 4 5 2 6 7

D = S I = S

1 2 1 2 1 1 2

1 regular value with labeled preimages

2 1 λ = 62 1 8

On I, draw an edge between • and ◦ via the basepoint We get a planar map: that is, a graph embedded on the sphere with simply connected faces

  • Proof. Faces are simply connected

because a loop around the edge in I can be deformed to a loop around

slide-53
SLIDE 53

coverings with 3 critical values and bipartite maps

3 critical values

λ• = 2312 λ◦ = 322 1 3 4 5 2 6 7

D = S I = S

1 2 1 2 1 1 2

1 regular value with labeled preimages

2 1 λ = 62 1 8

On I, draw an edge between • and ◦ via the basepoint We get a planar map: that is, a graph embedded on the sphere with simply connected faces

  • Proof. Faces are simply connected

because a loop around the edge in I can be deformed to a loop around

  • Proposition. This is a bijection

between bipartite planar maps and ramified coverings of S by S with 3 critical values.

slide-54
SLIDE 54

3 critical values, bipartite maps and permutations

1 3 4 5 2 6 7 1 2 1 2 1 1 2 2 1 1 8

A loop around a critical value yields a permutation 3 critical values

λ• = 2312 λ◦ = 322

D = S I = S 1 regular value with labeled preimages

λ = 62

slide-55
SLIDE 55

3 critical values, bipartite maps and permutations

1 3 4 5 2 6 7 1 2 1 2 1 1 2 2 1 1 8

A loop around a critical value yields a permutation σ◦ = (1, 3, 6)(2, 5, 4)(7, 8) with cyclic type λ◦ 3 critical values

λ• = 2312 λ◦ = 322

D = S I = S 1 regular value with labeled preimages

λ = 62

slide-56
SLIDE 56

3 critical values, bipartite maps and permutations

1 3 4 5 2 6 7 1 2 1 2 1 1 2 2 1 1 8

A loop around a critical value yields a permutation σ◦ = (1, 3, 6)(2, 5, 4)(7, 8) with cyclic type λ◦ σ• = (1)(2, 6)(3, 5)(4, 7)(8) with cyclic type λ• Cycle types ⇔ degree distributions 3 critical values

λ• = 2312 λ◦ = 322

D = S I = S 1 regular value with labeled preimages

λ = 62

slide-57
SLIDE 57

3 critical values, bipartite maps and permutations

1 3 4 5 2 6 7 1 2 1 2 1 1 2 2 1 1 8

A loop around a critical value yields a permutation σ◦ = (1, 3, 6)(2, 5, 4)(7, 8) with cyclic type λ◦ σ• = (1)(2, 6)(3, 5)(4, 7)(8) with cyclic type λ• Cycle types ⇔ degree distributions 3 critical values

λ• = 2312 λ◦ = 322

D = S I = S 1 regular value with labeled preimages

λ = 62

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SLIDE 58

3 critical values, bipartite maps and permutations

1 3 4 5 2 6 7 1 2 1 2 1 1 2 2 1 1 8

A loop around a critical value yields a permutation σ◦ = (1, 3, 6)(2, 5, 4)(7, 8) with cyclic type λ◦ σ• = (1)(2, 6)(3, 5)(4, 7)(8) with cyclic type λ• Cycle types ⇔ degree distributions What about σ and λ ? 3 critical values

λ• = 2312 λ◦ = 322

D = S I = S 1 regular value with labeled preimages

λ = 62

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SLIDE 59

3 critical values, bipartite maps and permutations

1 3 4 5 2 6 7 1 2 1 2 1 1 2 2 1 1 8

A loop around a critical value yields a permutation σ◦ = (1, 3, 6)(2, 5, 4)(7, 8) with cyclic type λ◦ σ• = (1)(2, 6)(3, 5)(4, 7)(8) with cyclic type λ• Cycle types ⇔ degree distributions What about σ and λ ? σ = (2, 3)(1, 5, 7, 8, 4, 6) loops around = faces 3 critical values

λ• = 2312 λ◦ = 322

D = S I = S 1 regular value with labeled preimages

λ = 62

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SLIDE 60

3 critical values, bipartite maps and permutations

1 3 4 5 2 6 7 1 2 1 2 1 1 2 2 1 1 8

A loop around a critical value yields a permutation σ◦ = (1, 3, 6)(2, 5, 4)(7, 8) with cyclic type λ◦ σ• = (1)(2, 6)(3, 5)(4, 7)(8) with cyclic type λ• Cycle types ⇔ degree distributions What about σ and λ ? But loop around = concatenate loop around ◦ and • σ = (2, 3)(1, 5, 7, 8, 4, 6) loops around = faces 3 critical values

λ• = 2312 λ◦ = 322

D = S I = S 1 regular value with labeled preimages

λ = 62

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SLIDE 61

3 critical values, bipartite maps and permutations

1 3 4 5 2 6 7 1 2 1 2 1 1 2 2 1 1 8

A loop around a critical value yields a permutation σ◦ = (1, 3, 6)(2, 5, 4)(7, 8) with cyclic type λ◦ σ• = (1)(2, 6)(3, 5)(4, 7)(8) with cyclic type λ• Cycle types ⇔ degree distributions What about σ and λ ? But loop around = concatenate loop around ◦ and • σ = (2, 3)(1, 5, 7, 8, 4, 6) loops around = faces Proposition: σ◦σ• = σ. 3 critical values

λ• = 2312 λ◦ = 322

D = S I = S 1 regular value with labeled preimages

λ = 62

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SLIDE 62

m + 1 critical values, m-constellations, permutations

1 3 4 2 1 3 2 1 2 3 1 3 2 1 2 4 4 4 4 4

m + 1 critical values 1 regular value with labeled preimages

1 2 3 4

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SLIDE 63

m + 1 critical values, m-constellations, permutations

1 3 4 2 1 3 2 1 2 3 1 3 2 1 2

The preimage of the m-star is called a star-constellation.

  • Proposition. Planar star-constellations

with: – n labelled m-stars, – λ

j faces of degree j,

– λ(i)

j

color i vertices of degree j are in bijection with minimal transitive factorizations σ1 · · · σm = σ with σi of cyclic type λ(i).

4 4 4 4 4

m + 1 critical values 1 regular value with labeled preimages

1 2 3 4

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SLIDE 64

Monodromy, permutations, constellations: a summary

  • Theorem. There is a bijection between
  • Labelled ramified covering of S of type Λ = (λ0, . . . , λm)
  • Factorizations (σ1 · · · σm = σ0) of type Λ
  • labelled m-star-constellations of type Λ.

D = S ⇔ minimality ⇔ planarity.

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SLIDE 65

Monodromy, permutations, constellations: a summary

  • Theorem. There is a bijection between
  • Labelled ramified covering of S of type Λ = (λ0, . . . , λm)
  • Factorizations (σ1 · · · σm = σ0) of type Λ
  • labelled m-star-constellations of type Λ.

Specializations. — m = 2: bipartite maps with n edges D = S ⇔ minimality ⇔ planarity. — m = 2, λ0 = 4n, all faces have degree 4: quadrangulations ⇒ Jean-Fran¸ cois Le Gall’s last year talk at this seminar

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SLIDE 66

Monodromy, permutations, constellations: a summary

  • Theorem. There is a bijection between
  • Labelled ramified covering of S of type Λ = (λ0, . . . , λm)
  • Factorizations (σ1 · · · σm = σ0) of type Λ
  • labelled m-star-constellations of type Λ.

Specializations. — m = 2: bipartite maps with n edges D = S ⇔ minimality ⇔ planarity. — m = 2, λ0 = 4n, all faces have degree 4: quadrangulations — for all i ≥ 1, λ(i) = 21n−2: factorizations in transpositions. coverings with only simple branch points ⇒ Jean-Fran¸ cois Le Gall’s last year talk at this seminar

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SLIDE 67

Monodromy, permutations, constellations: a summary

  • Theorem. There is a bijection between
  • Labelled ramified covering of S of type Λ = (λ0, . . . , λm)
  • Factorizations (σ1 · · · σm = σ0) of type Λ
  • labelled m-star-constellations of type Λ.

Specializations. — m = 2: bipartite maps with n edges D = S ⇔ minimality ⇔ planarity. — m = 2, λ0 = 4n, all faces have degree 4: quadrangulations — for all i ≥ 1, λ(i) = 21n−2: factorizations in transpositions. coverings with only simple branch points ⇒ Jean-Fran¸ cois Le Gall’s last year talk at this seminar

Today’s topic

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SLIDE 68

Simple ramified covers, increasing quadrangulations

1 3 2 1 2 3 4

Then each face of degree 2 on the image has n − 2 preimages that are faces of degree 2, and 1 that is a quadrangle. A ramified cover is simple if its m ramifications have type 21n−2.

6 5 4 5 6 1 3 4 2

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SLIDE 69

Simple ramified covers, increasing quadrangulations

1 3 2 1 2 3 4

Then each face of degree 2 on the image has n − 2 preimages that are faces of degree 2, and 1 that is a quadrangle. A ramified cover is simple if its m ramifications have type 21n−2.

6 5 4 5 6 1 3 4 2

Upon contracting multiple edges,

  • nly quadrangle remains.
slide-70
SLIDE 70

Simple ramified covers, increasing quadrangulations

1 3 2 1 2 3 4

Then the faces of the preimage have distinct labels 1, . . . , m that are increasing in ccw direction around black vertices and in cw direction around white vertices. Then each face of degree 2 on the image has n − 2 preimages that are faces of degree 2, and 1 that is a quadrangle. A ramified cover is simple if its m ramifications have type 21n−2.

6 5 4 5 6 1 3 4 2

Upon contracting multiple edges,

  • nly quadrangle remains.
slide-71
SLIDE 71

Simple ramified covers, increasing quadrangulations

1 3 2 1 2 3 4

Then the faces of the preimage have distinct labels 1, . . . , m that are increasing in ccw direction around black vertices and in cw direction around white vertices. Such a map is called an increasing labelled quadrangulation. Then each face of degree 2 on the image has n − 2 preimages that are faces of degree 2, and 1 that is a quadrangle. A ramified cover is simple if its m ramifications have type 21n−2.

6 5 4 5 6 1 3 4 2

Upon contracting multiple edges,

  • nly quadrangle remains.
slide-72
SLIDE 72

Simple ramified covers, increasing quadrangulations

1 3 2 1 2 3

  • Theorem. Simple ramified covers of S by itself with m ramifications points

are in bijection with increasing labelled quadrangulations with m faces.

4

Then the faces of the preimage have distinct labels 1, . . . , m that are increasing in ccw direction around black vertices and in cw direction around white vertices. Such a map is called an increasing labelled quadrangulation. Then each face of degree 2 on the image has n − 2 preimages that are faces of degree 2, and 1 that is a quadrangle. A ramified cover is simple if its m ramifications have type 21n−2.

6 5 4 5 6 1 3 4 2

Upon contracting multiple edges,

  • nly quadrangle remains.
slide-73
SLIDE 73

R´ esum´ e du 1er ´ episode

Compter des classes d’´ equivalence de revˆ etements ramifi´ es compter certaines plongements de graphes ⇔

slide-74
SLIDE 74

Plan de l’expos´ e Revˆ etements ramifi´ es et cartes Cartes et arbres ´ Enum´ eration d’arbres et formule d’Hurwitz Revˆ etements et cartes al´ eatoires

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SLIDE 75

Planar maps, spanning trees and duality

From now on, map means rooted planar map. A planar map is a proper embedding of a connected graph on the sphere (considered up to homeomorphisms).

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SLIDE 76

Planar maps, spanning trees and duality

From now on, map means rooted planar map. A spanning tree is a subgraph which is a tree and visits every vertices. A tree-rooted map is a map with a spanning tree. A planar map is a proper embedding of a connected graph on the sphere (considered up to homeomorphisms).

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SLIDE 77

Planar maps, spanning trees and duality

From now on, map means rooted planar map. A spanning tree is a subgraph which is a tree and visits every vertices. A tree-rooted map is a map with a spanning tree. The dual map of a map is the map of incidence between faces. A planar map is a proper embedding of a connected graph on the sphere (considered up to homeomorphisms).

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SLIDE 78

Planar maps, spanning trees and duality

From now on, map means rooted planar map. A spanning tree is a subgraph which is a tree and visits every vertices. A tree-rooted map is a map with a spanning tree. The dual map of a map is the map of incidence between faces. A planar map is a proper embedding of a connected graph on the sphere (considered up to homeomorphisms).

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SLIDE 79

Planar maps, spanning trees and duality

From now on, map means rooted planar map. A spanning tree is a subgraph which is a tree and visits every vertices. A tree-rooted map is a map with a spanning tree. The dual map of a tree-rooted map is a tree-rooted map: it is naturally endowed with a dual spanning tree. The dual map of a map is the map of incidence between faces. A planar map is a proper embedding of a connected graph on the sphere (considered up to homeomorphisms).

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SLIDE 80

Planar maps, spanning trees and duality

From now on, map means rooted planar map. A spanning tree is a subgraph which is a tree and visits every vertices. A tree-rooted map is a map with a spanning tree. The dual map of a tree-rooted map is a tree-rooted map: it is naturally endowed with a dual spanning tree. The dual map of a map is the map of incidence between faces. Proof ? A planar map is a proper embedding of a connected graph on the sphere (considered up to homeomorphisms).

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SLIDE 81

Planar maps, spanning trees and duality

From now on, map means rooted planar map. A spanning tree is a subgraph which is a tree and visits every vertices. A tree-rooted map is a map with a spanning tree. The dual map of a tree-rooted map is a tree-rooted map: it is naturally endowed with a dual spanning tree. The dual map of a map is the map of incidence between faces. Euler’s relation: (#vertices-1)+(#faces-1) = #edges Proof ? A planar map is a proper embedding of a connected graph on the sphere (considered up to homeomorphisms).

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SLIDE 82

Planar maps, spanning trees and duality

From now on, map means rooted planar map. A spanning tree is a subgraph which is a tree and visits every vertices. A tree-rooted map is a map with a spanning tree. The dual map of a tree-rooted map is a tree-rooted map: it is naturally endowed with a dual spanning tree. The dual map of a map is the map of incidence between faces. Euler’s relation: (#vertices-1)+(#faces-1) = #edges Proof ? Proof? A planar map is a proper embedding of a connected graph on the sphere (considered up to homeomorphisms).

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SLIDE 83

Encoding and counting tree-rooted maps

Starting at a root corner, turn around the tree

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SLIDE 84

Encoding and counting tree-rooted maps

Rooted tree ≡ balanced parenthesis word Starting at a root corner, turn around the tree uduuduuddd

slide-85
SLIDE 85

Encoding and counting tree-rooted maps

Rooted tree ≡ balanced parenthesis word Non visited edges ≡ balanced parenthesis word Starting at a root corner, turn around the tree uduuduuddd

slide-86
SLIDE 86

Encoding and counting tree-rooted maps

Rooted tree ≡ balanced parenthesis word Non visited edges ≡ balanced parenthesis word Starting at a root corner, turn around the tree uduuduuddd uuuduuddddud

slide-87
SLIDE 87

Encoding and counting tree-rooted maps

Rooted tree ≡ balanced parenthesis word Non visited edges ≡ balanced parenthesis word Code of the tree-rooted map = tree decorated by a balanced parenthesis word Starting at a root corner, turn around the tree uduuduuddd uuuduuddddud

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SLIDE 88

Encoding and counting tree-rooted maps

Rooted tree ≡ balanced parenthesis word Writing the two codes during the walk: Non visited edges ≡ balanced parenthesis word Code of the tree-rooted map = tree decorated by a balanced parenthesis word uuuududuuudududddddudd Starting at a root corner, turn around the tree uduuduuddd uuuduuddddud

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SLIDE 89

Encoding and counting tree-rooted maps

Rooted tree ≡ balanced parenthesis word Writing the two codes during the walk: Non visited edges ≡ balanced parenthesis word Code of the tree-rooted map = tree decorated by a balanced parenthesis word = shuffle of two balanced parenthesis words uuuududuuudududddddudd Starting at a root corner, turn around the tree uduuduuddd uuuduuddddud

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SLIDE 90

Encoding and counting tree-rooted maps

Rooted tree ≡ balanced parenthesis word Writing the two codes during the walk: Non visited edges ≡ balanced parenthesis word Code of the tree-rooted map = tree decorated by a balanced parenthesis word = shuffle of two balanced parenthesis words The number of tree rooted planar maps with n edges is Pn

i=0

`2n

i

´ CiCn−i where Cn =

1 n+1

`2n

n

´ denotes Catalan numbers, counting balanced parenthesis words. uuuududuuudududddddudd Starting at a root corner, turn around the tree uduuduuddd uuuduuddddud

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SLIDE 91

Encoding and counting tree-rooted maps

Rooted tree ≡ balanced parenthesis word Writing the two codes during the walk: Non visited edges ≡ balanced parenthesis word Code of the tree-rooted map = tree decorated by a balanced parenthesis word = shuffle of two balanced parenthesis words The number of tree rooted planar maps with n edges is Pn

i=0

`2n

i

´ CiCn−i where Cn =

1 n+1

`2n

n

´ denotes Catalan numbers, counting balanced parenthesis words. uuuududuuudududddddudd Starting at a root corner, turn around the tree

Observe that closure edges turn clockwise around the tree.

uduuduuddd uuuduuddddud

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SLIDE 92

but we want rooted (not tree-rooted) maps

Let us recycle the idea used for tree-rooted maps, using a canonical spanning tree

slide-93
SLIDE 93

but we want rooted (not tree-rooted) maps

Let us recycle the idea used for tree-rooted maps, using a canonical spanning tree Then write the code of the primal tree on the chosen canonical tree

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SLIDE 94

but we want rooted (not tree-rooted) maps

Let us recycle the idea used for tree-rooted maps, using a canonical spanning tree Then write the code of the primal tree on the chosen canonical tree The map is recovered from the code by closure.

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SLIDE 95

but we want rooted (not tree-rooted) maps

Let us recycle the idea used for tree-rooted maps, using a canonical spanning tree Then write the code of the primal tree on the chosen canonical tree Our code of the map will be a canonical decorated tree Question is How do we choose the canonical spanning tree The map is recovered from the code by closure. so that the resulting decorated trees can be described and counted ?

slide-96
SLIDE 96

From tree-rooted maps to minimal accessible maps

Orient the tree edges away from the root

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SLIDE 97

From tree-rooted maps to minimal accessible maps

Orient the tree edges away from the root Orient the other edges couterclockwise around the tree

slide-98
SLIDE 98

From tree-rooted maps to minimal accessible maps

Orient the tree edges away from the root Orient the other edges couterclockwise around the tree The resulting orientation has no clockwise circuit.

slide-99
SLIDE 99

From tree-rooted maps to minimal accessible maps

Orient the tree edges away from the root Orient the other edges couterclockwise around the tree It is called a minimal orientation (for the order induced by circuit reversal). The resulting orientation has no clockwise circuit.

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SLIDE 100

From tree-rooted maps to minimal accessible maps

Orient the tree edges away from the root Orient the other edges couterclockwise around the tree It is called a minimal orientation (for the order induced by circuit reversal). The resulting orientation has no clockwise circuit. A oriented map is accessible if every vertex can be reach by an oriented path from the root.

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SLIDE 101

From tree-rooted maps to minimal accessible maps

Orient the tree edges away from the root Orient the other edges couterclockwise around the tree It is called a minimal orientation (for the order induced by circuit reversal). The resulting orientation has no clockwise circuit. Theorem (Bernardi 2005) This is a bijection between tree-rooted maps with n edges and minimum accessible maps with n edges A oriented map is accessible if every vertex can be reach by an oriented path from the root.

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SLIDE 102

From tree-rooted maps to minimal accessible maps

Orient the tree edges away from the root Orient the other edges couterclockwise around the tree The tree is recovered by reconstructing its contour . It is called a minimal orientation (for the order induced by circuit reversal). The resulting orientation has no clockwise circuit. Theorem (Bernardi 2005) This is a bijection between tree-rooted maps with n edges and minimum accessible maps with n edges A oriented map is accessible if every vertex can be reach by an oriented path from the root.

slide-103
SLIDE 103

Minimal orientations and canonical spanning trees

Idea: Choose a minimal accessible orientation to get a spanning tree Our pb becomes: How to choose a canonical accessible minimal orientation?

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SLIDE 104

Minimal orientations and canonical spanning trees

Idea: A function α : V → N is feasible on a plane map M if there exists an

  • rientation of M such that for each vertex v the outdegree of v is f(v).

Choose a minimal accessible orientation to get a spanning tree Our pb becomes: How to choose a canonical accessible minimal orientation?

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SLIDE 105

Minimal orientations and canonical spanning trees

Idea: Theorem (Felsner 2004). Let α be a feasible function on a plane map M. Then the map M has a unique minimal α-orientation. A function α : V → N is feasible on a plane map M if there exists an

  • rientation of M such that for each vertex v the outdegree of v is f(v).

Choose a minimal accessible orientation to get a spanning tree Our pb becomes: How to choose a canonical accessible minimal orientation?

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SLIDE 106

Minimal orientations and canonical spanning trees

Idea: Theorem (Felsner 2004). Let α be a feasible function on a plane map M. Then the map M has a unique minimal α-orientation. A function α : V → N is feasible on a plane map M if there exists an

  • rientation of M such that for each vertex v the outdegree of v is f(v).

Choose a minimal accessible orientation to get a spanning tree Our pb becomes: How to choose a canonical accessible minimal orientation? Our pb becomes: How to choose a canonical α? (and check accessibility)

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SLIDE 107

Minimal orientations and canonical spanning trees

Idea: Theorem (Felsner 2004). Let α be a feasible function on a plane map M. Then the map M has a unique minimal α-orientation. A function α : V → N is feasible on a plane map M if there exists an

  • rientation of M such that for each vertex v the outdegree of v is f(v).

Choose a minimal accessible orientation to get a spanning tree Our pb becomes: How to choose a canonical accessible minimal orientation? Our pb becomes: How to choose a canonical α? (and check accessibility) Fact: For many subclasses F of planar maps, there exists an αF s.t.: A planar map is in F if and only if it admits an αF-orientation.

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SLIDE 108

α-orientations for increasing quadrangulations

Recall increasing quadrangulations are planar maps with faces of degree 4 such that: – faces have labels in {1, . . . , 2n − 2} – around labeled vertices, face labels increase in ccw order – around white vertices, face labels increase in cw order

1 12 7 5 6 9 10 8 3 2 4 11

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SLIDE 109

α-orientations for increasing quadrangulations

Recall increasing quadrangulations are planar maps with faces of degree 4 such that: – faces have labels in {1, . . . , 2n − 2} – around labeled vertices, face labels increase in ccw order – around white vertices, face labels increase in cw order Orient each edge so that the minimum incident label is on the left

1 12 7 5 6 9 10 8 3 2 4 11

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SLIDE 110

α-orientations for increasing quadrangulations

Recall increasing quadrangulations are planar maps with faces of degree 4 such that: – faces have labels in {1, . . . , 2n − 2} – around labeled vertices, face labels increase in ccw order – around white vertices, face labels increase in cw order Orient each edge so that the minimum incident label is on the left This orientation is accessible, in fact strongly connected.

1 12 7 5 6 9 10 8 3 2 4 11

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SLIDE 111

α-orientations for increasing quadrangulations

Recall increasing quadrangulations are planar maps with faces of degree 4 such that: – faces have labels in {1, . . . , 2n − 2} – around labeled vertices, face labels increase in ccw order – around white vertices, face labels increase in cw order Orient each edge so that the minimum incident label is on the left Each black vertex has indegree αh(black) = m − 1, outdegree 1 Each white vertex has indegree αh(white) = 1. This orientation is accessible, in fact strongly connected.

1 12 7 5 6 9 10 8 3 2 4 11

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SLIDE 112

α-orientations for increasing quadrangulations

Recall increasing quadrangulations are planar maps with faces of degree 4 such that: – faces have labels in {1, . . . , 2n − 2} – around labeled vertices, face labels increase in ccw order – around white vertices, face labels increase in cw order Orient each edge so that the minimum incident label is on the left Each black vertex has indegree αh(black) = m − 1, outdegree 1 Each white vertex has indegree αh(white) = 1. This orientation is accessible, in fact strongly connected.

1 12 7 5 6 9 10 8 3 2 4 11

This is our choice of canonical α to decompose increasing quadrangulations.

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SLIDE 113
  • pening of an increasing quadrangulation

1 12 7 5 6 9 10 8 3 2 4 11

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SLIDE 114
  • pening of an increasing quadrangulation

endow with min αc-orient (return cycles) 1 12 7 5 6 9 10 8 3 2 4 11 1 12 7 5 6 9 10 8 3 2 4 11

slide-115
SLIDE 115
  • pening of an increasing quadrangulation

endow with min αc-orient (return cycles) find spanning tree 1 12 7 5 6 9 10 8 3 2 4 11 1 12 7 5 6 9 10 8 3 2 4 11

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SLIDE 116
  • pening of an increasing quadrangulation

endow with min αc-orient (return cycles) find spanning tree 1 12 7 5 6 9 10 8 3 2 4 11 1 12 7 5 6 9 10 8 3 2 4 11 1 12 7 5 6 9 10 8 3 2 4 11

slide-117
SLIDE 117
  • pening of an increasing quadrangulation

endow with min αc-orient (return cycles) find spanning tree 1 12 7 5 6 9 10 8 3 2 4 11 1 12 7 5 6 9 10 8 3 2 4 11 1 12 7 5 6 9 10 8 3 2 4 11

  • pen

1 12 7 5 6 9 10 8 3 2 4 11 11

slide-118
SLIDE 118
  • pening of an increasing quadrangulation

endow with min αc-orient (return cycles) find spanning tree 1 12 7 5 6 9 10 8 3 2 4 11 1 12 7 5 6 9 10 8 3 2 4 11 1 12 7 5 6 9 10 8 3 2 4 11

  • pen

1 12 7 5 6 9 10 8 3 2 4 11 11 but forget half-edges

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SLIDE 119
  • pening of an increasing quadrangulation

endow with min αc-orient (return cycles) find spanning tree 1 12 7 5 6 9 10 8 3 2 4 11 1 12 7 5 6 9 10 8 3 2 4 11 1 12 7 5 6 9 10 8 3 2 4 11

  • pen

1 12 7 5 6 9 10 8 3 2 4 11 11 but forget half-edges give labels to edges eliminate root black vertex

slide-120
SLIDE 120
  • pening of an increasing quadrangulation

endow with min αc-orient (return cycles) find spanning tree 1 12 7 5 6 9 10 8 3 2 4 11 1 12 7 5 6 9 10 8 3 2 4 11 1 12 7 5 6 9 10 8 3 2 4 11

  • pen

1 12 7 5 6 9 10 8 3 2 4 11 11 but forget half-edges give labels to edges eliminate root black vertex

  • Proposition. The resulting simple Hurwitz trees has n unlabelled vertices, n − 1

labeled vertices of degree 2, 2n − 2 edges that increase ccw around labeled vertices.

slide-121
SLIDE 121

From simple Hurwitz trees to increasing quadrangulations

i k k j i k j Cas 1: i k j i i k j Cas 2:

  • u

k m ℓ k i k j A local rule to create increasing half edges Two half-edges with same label ⇒ edge and face of degree 4 Iterate the local rules as long as possible...

1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1

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SLIDE 122

From simple Hurwitz trees to factorizations

1 12 7 5 6 9 10 8 3 2 4 11 1 1 2 3 5 6 4

slide-123
SLIDE 123

From simple Hurwitz trees to factorizations

1 12 7 5 6 9 10 8 3 2 4 11 1 1 2 3 5 6 4 vertex label are useless for the bijection

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SLIDE 124

From simple Hurwitz trees to factorizations

1 12 7 5 6 9 10 8 3 2 4 11 vertex label are useless for the bijection

slide-125
SLIDE 125

From simple Hurwitz trees to factorizations

1 12 7 5 6 9 10 8 3 2 4 11 1 12 7 5 6 9 10 8 3 2 4 11 vertex label are useless for the bijection adding buds

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SLIDE 126

From simple Hurwitz trees to factorizations

1 12 7 5 6 9 10 8 3 2 4 11 1 12 7 5 6 9 10 8 3 2 4 11 1 12 7 5 6 9 10 8 3 2 4 11 vertex label are useless for the bijection adding buds Parings and adding buds again

slide-127
SLIDE 127

From simple Hurwitz trees to factorizations

1 12 7 5 6 9 10 8 3 2 4 11 1 12 7 5 6 9 10 8 3 2 4 11 1 12 7 5 6 9 10 8 3 2 4 11 1 12 7 5 6 9 10 8 3 2 4 11 vertex label are useless for the bijection adding buds Parings and adding buds again again

slide-128
SLIDE 128

From simple Hurwitz trees to factorizations

1 12 7 5 6 9 10 8 3 2 4 11 1 12 7 5 6 9 10 8 3 2 4 11 1 12 7 5 6 9 10 8 3 2 4 11 1 12 7 5 6 9 10 8 3 2 4 11 1 12 7 5 6 9 10 8 3 2 4 11 vertex label are useless for the bijection adding buds Parings and adding buds again again again

slide-129
SLIDE 129

From simple Hurwitz trees to factorizations

1 12 7 5 6 9 10 8 3 2 4 11 1 12 7 5 6 9 10 8 3 2 4 11 1 12 7 5 6 9 10 8 3 2 4 11 1 12 7 5 6 9 10 8 3 2 4 11 1 12 7 5 6 9 10 8 3 2 4 11

  • Lemma. When it stops, there are only white half-edges left.

vertex label are useless for the bijection adding buds Parings and adding buds again again again

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SLIDE 130

From simple Hurwitz trees to factorizations

1 12 7 5 6 9 10 8 3 2 4 11 1 12 7 5 6 9 10 8 3 2 4 11 1 12 7 5 6 9 10 8 3 2 4 11 1 12 7 5 6 9 10 8 3 2 4 11 1 12 7 5 6 9 10 8 3 2 4 11 1 12 7 5 6 9 10 8 3 2 4 11

  • Lemma. When it stops, there are only white half-edges left.

We connect them to a new black vertex and reload labels. vertex label are useless for the bijection adding buds Parings and adding buds again again again

slide-131
SLIDE 131

From simple Hurwitz trees to factorizations

1 12 7 5 6 9 10 8 3 2 4 11 1 12 7 5 6 9 10 8 3 2 4 11 1 12 7 5 6 9 10 8 3 2 4 11 1 12 7 5 6 9 10 8 3 2 4 11 1 12 7 5 6 9 10 8 3 2 4 11 1 12 7 5 6 9 10 8 3 2 4 11

  • Lemma. When it stops, there are only white half-edges left.

We connect them to a new black vertex and reload labels. 1 1 2 3 5 6 4 1 1 4 5 2 6 3 vertex label are useless for the bijection 7 adding buds Parings and adding buds again again again

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SLIDE 132

From simple Hurwitz trees to factorizations

1 12 7 5 6 9 10 8 3 2 4 11 1 12 7 5 6 9 10 8 3 2 4 11 1 12 7 5 6 9 10 8 3 2 4 11 1 12 7 5 6 9 10 8 3 2 4 11 1 12 7 5 6 9 10 8 3 2 4 11 1 12 7 5 6 9 10 8 3 2 4 11 1 1 2 3 5 6 4 1 1 4 5 2 6 3 vertex label are useless for the bijection 7 adding buds Parings and adding buds again again again

Theorem[Duchi-Poulalhon-S. 2012] Closure is the reverse bijection between – simple Hurwitz trees of size n, and – increasing quadrangulations, and – simple ramified covers of S by itself with m = 2n − 2 critical values.

slide-133
SLIDE 133

From simple Hurwitz trees to factorizations

1 12 7 5 6 9 10 8 3 2 4 11 1 12 7 5 6 9 10 8 3 2 4 11 1 12 7 5 6 9 10 8 3 2 4 11 1 12 7 5 6 9 10 8 3 2 4 11 1 12 7 5 6 9 10 8 3 2 4 11 1 12 7 5 6 9 10 8 3 2 4 11 1 1 2 3 5 6 4 1 1 4 5 2 6 3 vertex label are useless for the bijection 7 adding buds Parings and adding buds again again again

Theorem[Duchi-Poulalhon-S. 2012] Closure is the reverse bijection between – simple Hurwitz trees of size n, and – increasing quadrangulations, and – simple ramified covers of S by itself with m = 2n − 2 critical values.

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SLIDE 134

R´ esum´ e des 2 premiers ´ episodes

Compter des classes d’´ equivalence de revˆ etements ramifi´ es compter certaines plongements de graphes ⇔ ⇔ compter certains arbres

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SLIDE 135

Plan de l’expos´ e

Plan de l’expos´ e

Revˆ etements ramifi´ es et cartes Cartes et arbres ´ Enum´ eration d’arbres et formule d’Hurwitz Revˆ etements et cartes al´ eatoires

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SLIDE 136

Hurwitz formula for increasing quadrangulations

Theorem[Duchi-Poulalhon-S. 2012] Increasing quadrangulations (size n) are in bijection with simple Hurwitz trees having n unlabelled vertices, n − 1 labeled vertices of degree 2, 2n − 2 edges that increase ccw around labeled vertices.

4 1 1 2 3 5 6 8 7 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16

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SLIDE 137

Hurwitz formula for increasing quadrangulations

Theorem[Duchi-Poulalhon-S. 2012] Increasing quadrangulations (size n) are in bijection with simple Hurwitz trees having n unlabelled vertices, n − 1 labeled vertices of degree 2, 2n − 2 edges that increase ccw around labeled vertices.

4 1 1 2 3 5 6 8 7 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 4 1 1 2 3 5 6 8 7 (2n − 2)!

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SLIDE 138

Hurwitz formula for increasing quadrangulations

Theorem[Duchi-Poulalhon-S. 2012] Increasing quadrangulations (size n) are in bijection with simple Hurwitz trees having n unlabelled vertices, n − 1 labeled vertices of degree 2, 2n − 2 edges that increase ccw around labeled vertices.

4 1 1 2 3 5 6 8 7 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 4 1 1 2 3 5 6 8 7 (2n − 2)! 4 1 1 2 3 5 6 8 7 n

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SLIDE 139

Hurwitz formula for increasing quadrangulations

Theorem[Duchi-Poulalhon-S. 2012] Increasing quadrangulations (size n) are in bijection with simple Hurwitz trees having n unlabelled vertices, n − 1 labeled vertices of degree 2, 2n − 2 edges that increase ccw around labeled vertices.

4 1 1 2 3 5 6 8 7 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 4 1 1 2 3 5 6 8 7 (2n − 2)! 4 1 1 2 3 5 6 8 7 n nn−2

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SLIDE 140

Hurwitz formula for increasing quadrangulations

Theorem[Duchi-Poulalhon-S. 2012] Increasing quadrangulations (size n) are in bijection with simple Hurwitz trees having n unlabelled vertices, n − 1 labeled vertices of degree 2, 2n − 2 edges that increase ccw around labeled vertices.

4 1 1 2 3 5 6 8 7 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 4 1 1 2 3 5 6 8 7 (2n − 2)! 4 1 1 2 3 5 6 8 7 n nn−2 nn−3

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SLIDE 141

Hurwitz formula for increasing quadrangulations

Theorem[Duchi-Poulalhon-S. 2012] Increasing quadrangulations (size n) are in bijection with simple Hurwitz trees having n unlabelled vertices, n − 1 labeled vertices of degree 2, 2n − 2 edges that increase ccw around labeled vertices.

4 1 1 2 3 5 6 8 7 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 4 1 1 2 3 5 6 8 7 (2n − 2)! 4 1 1 2 3 5 6 8 7 n nn−2 nn−3 nn−3 · (2n − 2)!

The number of simple ramified cover of S by itself with m = 2n − 2 critical points is nn−3(2n − 2)!.

4 1 1 2 3 5 6 8 7 nn−2

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SLIDE 142

Hurwitz formula for factorizations in transpositions

  • Theorem. Let λ = 1ℓ1, . . . , nℓn be a partition n, and ℓ = P

i ℓi.

The number of m-uples of transpositions (τ1, . . . , τm) such that

  • (product cycle type) τ1 · · · τm = σ has cycle type λ
  • (transitivity) the associated graph is connected
  • (minimality) the number of factors is m = n + ℓ − 2

is nℓ−3 · m! · n! · Y

i≥1

1 ℓi! „ ii i! «ℓi λ = n, factorizations of n-cycles: nn−2 · (n − 1)! λ = 1n, factorizations of the identity: nn−3 · (2n − 2)!

(Hurwitz 1891, Strehl 1996) (Goulden–Jackson 1997) (Lando–Zvonkine 1999) (Bousquet-M´ elou–Schaeffer 2000) (recurrences, Abel identities) (gfs and differential eqns) (geometry of LL mapping) (bijection + inclusion/exclusion)

Proofs:

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SLIDE 143

A formula for general factorizations [BMS00]

  • Theorem. Let λ = 1ℓ1, . . . , nℓn be a partition of n, and ℓ = P

i ℓi.

The number of m-uple of permutations (σ1, . . . , σm) such that

  • (factorization) σ1 · · · σm = σ with cycle type λ
  • (transitivity) σ1, . . . , σm acts transitively on {1, . . . , n}
  • (minimality) the total rank of factors is P

i r(σi) = n + ℓ − 2

is m ((m − 1)n − 1)! (mn − (n + ℓ − 2))! · n! · Y

i

1 ℓi! “mi − 1 i ”ℓi Proofs:

(Bousquet-M´ elou–Schaeffer 2000) (Goulden–Serrano 2009) (bijection + inclusion/exclusion)(gfs and differential eqns)

λ = n, factorizations of n-cycles:

1 (mn+1)

`mn+1

n

´ · (n − 1)! λ = 1n, identity factorizations:

m (m−2)n+2 (m−1)n−1 (m−2)n+1

`(m−1)n

n

´ · (n − 1)!

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SLIDE 144

R´ esum´ e des 3 premiers ´ episodes

Compter des classes d’´ equivalence de revˆ etements ramifi´ es compter certaines plongements de graphes ⇔ ⇔ les formules simples appellent des preuves constructives compter certains arbres

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SLIDE 145

Plan de l’expos´ e

Plan de l’expos´ e

Revˆ etements ramifi´ es et cartes Cartes et arbres ´ Enum´ eration d’arbres et formule d’Hurwitz Revˆ etements et cartes al´ eatoires

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SLIDE 146

Quadrangulations croissantes al´ eatoires uniformes

¯ Qn = {quadrangulations croissantes ` a n faces}. Quadrangulation croissante uniforme = variable al´ eatoire Qn ` a valeur dans ¯ Qn avec Pr(Qn = q) = 1 | ¯ Qn| = 1 nn−3(2n − 2)! pour tout q ∈ ¯ Qn

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SLIDE 147

Quadrangulations croissantes al´ eatoires uniformes

¯ Qn = {quadrangulations croissantes ` a n faces}. Quadrangulation croissante uniforme = variable al´ eatoire Qn ` a valeur dans ¯ Qn avec Pr(Qn = q) = 1 | ¯ Qn| = 1 nn−3(2n − 2)! pour tout q ∈ ¯ Qn Comment ´ etudier Qn ?

  • le choix de la distribution uniforme combinatoire est le plus imm´

ediat Parall` ele naturel avec la distribution uniforme sur les quadrangulations enracin´ ees: Pr( Qn = q) = 1 | Qn| = 1

2·3n(2n)! (n+2)!n!

pour tout q ∈ Qn

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SLIDE 148

Propri´ et´ es des cartes al´ eatoires uniformes ?

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SLIDE 149

Propri´ et´ es des cartes al´ eatoires uniformes ?

  • n est loin d’une discr´

etisation al´ eatoire d’une g´ eom´ etrie euclidienne

Delaunay de points al´ eatoires dans un disque Triangulation uniforme al´ eatoire d’un disque

en physique on lie cela ` a la mod´ elisation discr` ete de la gravit´ e quantique

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SLIDE 150

Quadrangulations uniformes comme surfaces al´ eatoires

Chapuy Schaeffer Marckert L’allure d’une sph` ere al´ eatoire d´ epend un peu de qui dessine... Objectif: Choisir une m´ etrique intrins` eque et d´ ecrire les surfaces ainsi obtenues

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SLIDE 151

´ Etudier les quadrangulations al´ eatoires uniformes

Distribution uniforme sur les quadrangulations ` a n faces, pour n grand 1` ere approche: ´ Etudier le comportement asymptotique de param` etres:

  • degr´

e d’un sommet al´ eatoire

  • loi 0-1 pour les propri´

et´ es locales

  • distance entre 2 sommets al´

eatoires

  • longueur d’un plus petit cycle diviseur

⇒ esp´ erance, moments, lois limites discr` etes ou continues, qd n → ∞

Bender, Canfield et al (90’s →) en combinatoire Ambjørn, Watabiki et al (90’s →) en physique

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SLIDE 152

´ Etudier les quadrangulations al´ eatoires uniformes

Distribution uniforme sur les quadrangulations ` a n faces, pour n grand 1` ere approche: ´ Etudier le comportement asymptotique de param` etres:

  • degr´

e d’un sommet al´ eatoire

  • loi 0-1 pour les propri´

et´ es locales

  • distance entre 2 sommets al´

eatoires

  • longueur d’un plus petit cycle diviseur

⇒ esp´ erance, moments, lois limites discr` etes ou continues, qd n → ∞

Bender, Canfield et al (90’s →) en combinatoire Ambjørn, Watabiki et al (90’s →) en physique

Exemple: ∆n = distance entre 2 sommets al´ eatoires uniformes de Qn Th´ eor` eme (Chassaing-S. 2004) E(∆n) ∼ c · n1/4 (n−1/4∆n)

d

− → max (serpent Brownien)

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SLIDE 153

´ Etudier les quadrangulations al´ eatoires uniformes

Distribution uniforme sur les quadrangulations ` a n faces, pour n grand 2` eme approche: D´ efinir des surfaces al´ eatoires limites

slide-154
SLIDE 154

´ Etudier les quadrangulations al´ eatoires uniformes

Distribution uniforme sur les quadrangulations ` a n faces, pour n grand 2` eme approche: D´ efinir des surfaces al´ eatoires limites – convergence vers une limite d’´ echelle

(Pb pos´ e au s´ eminaire Hypathie en 2002 ` a Lyon)

⇒ la carte Brownienne

Marckert, Mokkadem, Le Gall, Miermont, . . .

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SLIDE 155

´ Etudier les quadrangulations al´ eatoires uniformes

Distribution uniforme sur les quadrangulations ` a n faces, pour n grand 2` eme approche: D´ efinir des surfaces al´ eatoires limites – convergence vers une limite d’´ echelle – convergence vers une limite infinie discr` ete

(Pb pos´ e au s´ eminaire Hypathie en 2002 ` a Lyon) Angel, Schramm, . . .

⇒ la carte Brownienne

Marckert, Mokkadem, Le Gall, Miermont, . . .

⇒ la quadrangulation infinie uniforme (UIPQ)

puis Weill, Curien, Benjamini,... puis Durhus, Chassaing, Krikun, Bettinelli,...

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SLIDE 156

Conclusions

– L’excursion Brownienne d´ ecrit la limite d’´ echelle de toute sorte d’excursions al´ eatoires discr` etes plus ou moins complexes. – L’arbre continu al´ eatoire est limite d’´ echelle de toute sorte d’arbres al´ eatoires discrets plus ou moins complexes. ⇒ On pense qu’il en est de mˆ eme de la carte Brownienne.

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SLIDE 157

Conclusions

– L’excursion Brownienne d´ ecrit la limite d’´ echelle de toute sorte d’excursions al´ eatoires discr` etes plus ou moins complexes. – L’arbre continu al´ eatoire est limite d’´ echelle de toute sorte d’arbres al´ eatoires discrets plus ou moins complexes. ⇒ On pense qu’il en est de mˆ eme de la carte Brownienne. Les r´ esultats de Le Gall et Miermont valent pour des cartes avec des contraintes de degr´ e de faces plus g´ en´ erales (q-angulations,. . . )

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SLIDE 158

Conclusions

– L’excursion Brownienne d´ ecrit la limite d’´ echelle de toute sorte d’excursions al´ eatoires discr` etes plus ou moins complexes. – L’arbre continu al´ eatoire est limite d’´ echelle de toute sorte d’arbres al´ eatoires discrets plus ou moins complexes. ⇒ On pense qu’il en est de mˆ eme de la carte Brownienne. Les r´ esultats de Le Gall et Miermont valent pour des cartes avec des contraintes de degr´ e de faces plus g´ en´ erales (q-angulations,. . . ) Un challenge est de montrer que des objets a priori plus ´ eloign´ es tels que les graphes planaires (non plong´ es) ou les revˆ etements ramifi´ es, sont en fait dans la mˆ eme classe d’universalit´ e.

slide-159
SLIDE 159

Conclusions

– L’excursion Brownienne d´ ecrit la limite d’´ echelle de toute sorte d’excursions al´ eatoires discr` etes plus ou moins complexes. – L’arbre continu al´ eatoire est limite d’´ echelle de toute sorte d’arbres al´ eatoires discrets plus ou moins complexes. ⇒ On pense qu’il en est de mˆ eme de la carte Brownienne. Les r´ esultats de Le Gall et Miermont valent pour des cartes avec des contraintes de degr´ e de faces plus g´ en´ erales (q-angulations,. . . ) Un challenge est de montrer que des objets a priori plus ´ eloign´ es tels que les graphes planaires (non plong´ es) ou les revˆ etements ramifi´ es, sont en fait dans la mˆ eme classe d’universalit´ e. On dispose d’un cadre bijectif tr` es g´ en´ eral pour la construction de cartes par recollements d’arbres On obtient ainsi en particulier un codage d’arbres pour les revˆ etements... Il reste ` a utiliser ces constructions pour passer ` a la limite...

(Bernardi-Chapuy-Fusy 2011, Albenque-Poulalhon 2012)