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Jason Miller (MIT) Liouville quantum gravity and the Brownian map - - PowerPoint PPT Presentation

Jason Miller (MIT) Liouville quantum gravity and the Brownian map Jason Miller and Scott Sheffield Cambridge and MIT July 15, 2015 Jason Miller (Cambridge) LQG and TBM July 15, 2015 1 / 24 Overview Part I: Picking surfaces at random


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Jason Miller 
 (MIT)

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SLIDE 2

Liouville quantum gravity and the Brownian map

Jason Miller and Scott Sheffield

Cambridge and MIT

July 15, 2015

Jason Miller (Cambridge) LQG and TBM July 15, 2015 1 / 24

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SLIDE 3

Overview

Part I: Picking surfaces at random

  • 1. Discrete: random planar maps
  • 2. Continuum: Liouville quantum gravity (LQG)
  • 3. Relationship

Part II: The QLE(8/3, 0) metric on

  • 8/3-LQG
  • 1. First passage percolation on random planar maps
  • 2. First passage percolation on
  • 8/3-LQG: QLE(8/3, 0)

Jason Miller (Cambridge) LQG and TBM July 15, 2015 2 / 24

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Part I: Picking surfaces at random

Jason Miller (Cambridge) LQG and TBM July 15, 2015 3 / 24

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SLIDE 5

Random planar maps

◮ A planar map is a finite graph together with an

embedding in the plane so that no edges cross

Jason Miller (Cambridge) LQG and TBM July 15, 2015 4 / 24

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SLIDE 6

Random planar maps

◮ A planar map is a finite graph together with an

embedding in the plane so that no edges cross

◮ Its faces are the connected components of the

complement of its edges

Jason Miller (Cambridge) LQG and TBM July 15, 2015 4 / 24

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SLIDE 7

Random planar maps

◮ A planar map is a finite graph together with an

embedding in the plane so that no edges cross

◮ Its faces are the connected components of the

complement of its edges

◮ A map is a quadrangulation if each face has 4

adjacent edges

Jason Miller (Cambridge) LQG and TBM July 15, 2015 4 / 24

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SLIDE 8

Random planar maps

◮ A planar map is a finite graph together with an

embedding in the plane so that no edges cross

◮ Its faces are the connected components of the

complement of its edges

◮ A map is a quadrangulation if each face has 4

adjacent edges

◮ A quadrangulation corresponds to a metric space

when equipped with the graph distance

Jason Miller (Cambridge) LQG and TBM July 15, 2015 4 / 24

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SLIDE 9

Random planar maps

◮ A planar map is a finite graph together with an

embedding in the plane so that no edges cross

◮ Its faces are the connected components of the

complement of its edges

◮ A map is a quadrangulation if each face has 4

adjacent edges

◮ A quadrangulation corresponds to a metric space

when equipped with the graph distance

◮ Interested in uniformly random quadrangulations

with n faces — random planar map (RPM).

Jason Miller (Cambridge) LQG and TBM July 15, 2015 4 / 24

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SLIDE 10

Random planar maps

◮ A planar map is a finite graph together with an

embedding in the plane so that no edges cross

◮ Its faces are the connected components of the

complement of its edges

◮ A map is a quadrangulation if each face has 4

adjacent edges

◮ A quadrangulation corresponds to a metric space

when equipped with the graph distance

◮ Interested in uniformly random quadrangulations

with n faces — random planar map (RPM).

◮ First studied by Tutte in 1960s while working on the

four color theorem

◮ Combinatorics: enumeration formulas ◮ Physics: statistical physics models:

percolation, Ising, UST ...

◮ Probability: “uniformly random surface,”

Brownian surface

Jason Miller (Cambridge) LQG and TBM July 15, 2015 4 / 24

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SLIDE 11

Random quadrangulation with 25,000 faces

(Simulation due to J.F. Marckert)

Jason Miller (Cambridge) LQG and TBM July 15, 2015 5 / 24

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SLIDE 12

Structure of large random planar maps

(Simulation due to J.F. Marckert)

◮ RPM as a metric space. Is there a limit?

Jason Miller (Cambridge) LQG and TBM July 15, 2015 6 / 24

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SLIDE 13

Structure of large random planar maps

(Simulation due to J.F. Marckert)

◮ RPM as a metric space. Is there a limit? ◮ Diameter is n1/4 (Chaissang-Schaefer)

Jason Miller (Cambridge) LQG and TBM July 15, 2015 6 / 24

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SLIDE 14

Structure of large random planar maps

(Simulation due to J.F. Marckert)

◮ RPM as a metric space. Is there a limit? ◮ Diameter is n1/4 (Chaissang-Schaefer) ◮ Rescaling by n−1/4 gives a tight sequence of

metric spaces (Le Gall)

Jason Miller (Cambridge) LQG and TBM July 15, 2015 6 / 24

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SLIDE 15

Structure of large random planar maps

(Simulation due to J.F. Marckert)

◮ RPM as a metric space. Is there a limit? ◮ Diameter is n1/4 (Chaissang-Schaefer) ◮ Rescaling by n−1/4 gives a tight sequence of

metric spaces (Le Gall)

◮ Subsequentially limiting space is a.s.:

◮ 4-dimensional (Le Gall) ◮ homeomorphic to the 2-sphere (Le Gall

and Paulin, Miermont)

Jason Miller (Cambridge) LQG and TBM July 15, 2015 6 / 24

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SLIDE 16

Structure of large random planar maps

(Simulation due to J.F. Marckert)

◮ RPM as a metric space. Is there a limit? ◮ Diameter is n1/4 (Chaissang-Schaefer) ◮ Rescaling by n−1/4 gives a tight sequence of

metric spaces (Le Gall)

◮ Subsequentially limiting space is a.s.:

◮ 4-dimensional (Le Gall) ◮ homeomorphic to the 2-sphere (Le Gall

and Paulin, Miermont)

◮ There exists a unique limit in distribution: the

Brownian map (Le Gall, Miermont)

Jason Miller (Cambridge) LQG and TBM July 15, 2015 6 / 24

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SLIDE 17

Structure of large random planar maps

(Simulation due to J.F. Marckert)

◮ RPM as a metric space. Is there a limit? ◮ Diameter is n1/4 (Chaissang-Schaefer) ◮ Rescaling by n−1/4 gives a tight sequence of

metric spaces (Le Gall)

◮ Subsequentially limiting space is a.s.:

◮ 4-dimensional (Le Gall) ◮ homeomorphic to the 2-sphere (Le Gall

and Paulin, Miermont)

◮ There exists a unique limit in distribution: the

Brownian map (Le Gall, Miermont) Important tool: bijections which encode the surface using a gluing of a pair of trees

(Mullin, Schaeffer, Cori-Schaeffer-Vauquelin, Bouttier-Di Francesco-Guitter, Sheffield,...)

Jason Miller (Cambridge) LQG and TBM July 15, 2015 6 / 24

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SLIDE 18

Structure of large random planar maps

(Simulation due to J.F. Marckert)

◮ RPM as a metric space. Is there a limit? ◮ Diameter is n1/4 (Chaissang-Schaefer) ◮ Rescaling by n−1/4 gives a tight sequence of

metric spaces (Le Gall)

◮ Subsequentially limiting space is a.s.:

◮ 4-dimensional (Le Gall) ◮ homeomorphic to the 2-sphere (Le Gall

and Paulin, Miermont)

◮ There exists a unique limit in distribution: the

Brownian map (Le Gall, Miermont) Important tool: bijections which encode the surface using a gluing of a pair of trees

(Mullin, Schaeffer, Cori-Schaeffer-Vauquelin, Bouttier-Di Francesco-Guitter, Sheffield,...)

Brownian map also described in terms of trees (CRT)

(Markert-Mokkadem)

Jason Miller (Cambridge) LQG and TBM July 15, 2015 6 / 24

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Picking a surface at random in the continuum

Uniformization theorem: every Riemannian surface homeomorphic to the unit disk D can be conformally mapped to the disk.

ψ

Jason Miller (Cambridge) LQG and TBM July 15, 2015 7 / 24

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Picking a surface at random in the continuum

Uniformization theorem: every Riemannian surface homeomorphic to the unit disk D can be conformally mapped to the disk.

ψ

A ψ(A)

Isothermal coordinates: Metric for the surface takes the form eρ(z)dz for some smooth function ρ where dz is the Euclidean metric.

Jason Miller (Cambridge) LQG and TBM July 15, 2015 7 / 24

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SLIDE 21

Picking a surface at random in the continuum

Uniformization theorem: every Riemannian surface homeomorphic to the unit disk D can be conformally mapped to the disk.

ψ

A ψ(A)

Isothermal coordinates: Metric for the surface takes the form eρ(z)dz for some smooth function ρ where dz is the Euclidean metric. ⇒ Can parameterize the surfaces homeomorphic to D with smooth functions on D.

◮ If ρ = 0, get D ◮ If ∆ρ = 0, i.e. if ρ is harmonic, the surface described is flat

Jason Miller (Cambridge) LQG and TBM July 15, 2015 7 / 24

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Picking a surface at random in the continuum

Uniformization theorem: every Riemannian surface homeomorphic to the unit disk D can be conformally mapped to the disk.

ψ

A ψ(A)

Isothermal coordinates: Metric for the surface takes the form eρ(z)dz for some smooth function ρ where dz is the Euclidean metric. ⇒ Can parameterize the surfaces homeomorphic to D with smooth functions on D.

◮ If ρ = 0, get D ◮ If ∆ρ = 0, i.e. if ρ is harmonic, the surface described is flat

Question: Which measure on ρ? If we want our surface to be a perturbation of a flat metric, natural to choose ρ as the canonical perturbation of a harmonic function.

Jason Miller (Cambridge) LQG and TBM July 15, 2015 7 / 24

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The Gaussian free field

◮ The discrete Gaussian free field (DGFF) is a

Gaussian random surface model.

Jason Miller (Cambridge) LQG and TBM July 15, 2015 8 / 24

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The Gaussian free field

◮ The discrete Gaussian free field (DGFF) is a

Gaussian random surface model.

◮ Measure on functions h: D → R for D ⊆ Z2 and

h|∂D = ψ with density respect to Lebesgue measure on R|D|: 1 Z exp

  • −1

2

  • x∼y

(h(x) − h(y))2

  • Jason Miller (Cambridge)

LQG and TBM July 15, 2015 8 / 24

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The Gaussian free field

◮ The discrete Gaussian free field (DGFF) is a

Gaussian random surface model.

◮ Measure on functions h: D → R for D ⊆ Z2 and

h|∂D = ψ with density respect to Lebesgue measure on R|D|: 1 Z exp

  • −1

2

  • x∼y

(h(x) − h(y))2

  • ◮ Natural perturbation of a harmonic function

Jason Miller (Cambridge) LQG and TBM July 15, 2015 8 / 24

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The Gaussian free field

◮ The discrete Gaussian free field (DGFF) is a

Gaussian random surface model.

◮ Measure on functions h: D → R for D ⊆ Z2 and

h|∂D = ψ with density respect to Lebesgue measure on R|D|: 1 Z exp

  • −1

2

  • x∼y

(h(x) − h(y))2

  • ◮ Natural perturbation of a harmonic function

◮ Fine mesh limit: converges to the continuum GFF,

i.e. the standard Gaussian wrt the Dirichlet inner product (f , g)∇ = 1 2π

  • ∇f (x) · ∇g(x)dx.

Jason Miller (Cambridge) LQG and TBM July 15, 2015 8 / 24

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SLIDE 27

The Gaussian free field

◮ The discrete Gaussian free field (DGFF) is a

Gaussian random surface model.

◮ Measure on functions h: D → R for D ⊆ Z2 and

h|∂D = ψ with density respect to Lebesgue measure on R|D|: 1 Z exp

  • −1

2

  • x∼y

(h(x) − h(y))2

  • ◮ Natural perturbation of a harmonic function

◮ Fine mesh limit: converges to the continuum GFF,

i.e. the standard Gaussian wrt the Dirichlet inner product (f , g)∇ = 1 2π

  • ∇f (x) · ∇g(x)dx.

◮ Continuum GFF not a function — only a

generalized function

Jason Miller (Cambridge) LQG and TBM July 15, 2015 8 / 24

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Liouville quantum gravity

◮ Liouville quantum gravity: eγh(z)dz

where h is a GFF and γ ∈ [0, 2)

γ = 0.5

(Number of subdivisions)

Jason Miller (Cambridge) LQG and TBM July 15, 2015 9 / 24

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Liouville quantum gravity

◮ Liouville quantum gravity: eγh(z)dz

where h is a GFF and γ ∈ [0, 2)

◮ Introduced by Polyakov in the 1980s

γ = 0.5

(Number of subdivisions)

Jason Miller (Cambridge) LQG and TBM July 15, 2015 9 / 24

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Liouville quantum gravity

◮ Liouville quantum gravity: eγh(z)dz

where h is a GFF and γ ∈ [0, 2)

◮ Introduced by Polyakov in the 1980s ◮ Does not make literal sense since h

takes values in the space of distributions

γ = 0.5

(Number of subdivisions)

Jason Miller (Cambridge) LQG and TBM July 15, 2015 9 / 24

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SLIDE 31

Liouville quantum gravity

◮ Liouville quantum gravity: eγh(z)dz

where h is a GFF and γ ∈ [0, 2)

◮ Introduced by Polyakov in the 1980s ◮ Does not make literal sense since h

takes values in the space of distributions

◮ Has been made sense of as a random

area measure using a regularization procedure

◮ Can compute areas of regions

and lengths of curves

◮ Does not come with an obvious

notion of “distance”

γ = 0.5

(Number of subdivisions)

Jason Miller (Cambridge) LQG and TBM July 15, 2015 9 / 24

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SLIDE 32

Liouville quantum gravity

◮ Liouville quantum gravity: eγh(z)dz

where h is a GFF and γ ∈ [0, 2)

◮ Introduced by Polyakov in the 1980s ◮ Does not make literal sense since h

takes values in the space of distributions

◮ Has been made sense of as a random

area measure using a regularization procedure

◮ Can compute areas of regions

and lengths of curves

◮ Does not come with an obvious

notion of “distance”

γ = 1.0

(Number of subdivisions)

Jason Miller (Cambridge) LQG and TBM July 15, 2015 9 / 24

slide-33
SLIDE 33

Liouville quantum gravity

◮ Liouville quantum gravity: eγh(z)dz

where h is a GFF and γ ∈ [0, 2)

◮ Introduced by Polyakov in the 1980s ◮ Does not make literal sense since h

takes values in the space of distributions

◮ Has been made sense of as a random

area measure using a regularization procedure

◮ Can compute areas of regions

and lengths of curves

◮ Does not come with an obvious

notion of “distance”

γ = 1.5

(Number of subdivisions)

Jason Miller (Cambridge) LQG and TBM July 15, 2015 9 / 24

slide-34
SLIDE 34

Liouville quantum gravity

◮ Liouville quantum gravity: eγh(z)dz

where h is a GFF and γ ∈ [0, 2)

◮ Introduced by Polyakov in the 1980s ◮ Does not make literal sense since h

takes values in the space of distributions

◮ Has been made sense of as a random

area measure using a regularization procedure

◮ Can compute areas of regions

and lengths of curves

◮ Does not come with an obvious

notion of “distance”

γ = 2.0

(Number of subdivisions)

Jason Miller (Cambridge) LQG and TBM July 15, 2015 9 / 24

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SLIDE 35

LQG and TBM

◮ Two “canonical” (but very different) constructions of random surfaces: Liouville

quantum gravity (LQG) and the Brownian map (TBM)

Jason Miller (Cambridge) LQG and TBM July 15, 2015 10 / 24

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SLIDE 36

LQG and TBM

◮ Two “canonical” (but very different) constructions of random surfaces: Liouville

quantum gravity (LQG) and the Brownian map (TBM)

◮ For γ ∈ [0, 2), Liouville quantum gravity (LQG) is the “random surface” with

“Riemannian metric” eγh(z)(dx2 + dy 2)

Jason Miller (Cambridge) LQG and TBM July 15, 2015 10 / 24

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SLIDE 37

LQG and TBM

◮ Two “canonical” (but very different) constructions of random surfaces: Liouville

quantum gravity (LQG) and the Brownian map (TBM)

◮ For γ ∈ [0, 2), Liouville quantum gravity (LQG) is the “random surface” with

“Riemannian metric” eγh(z)(dx2 + dy 2)

◮ So far, only made sense of as an area measure using a regularization procedure

Jason Miller (Cambridge) LQG and TBM July 15, 2015 10 / 24

slide-38
SLIDE 38

LQG and TBM

◮ Two “canonical” (but very different) constructions of random surfaces: Liouville

quantum gravity (LQG) and the Brownian map (TBM)

◮ For γ ∈ [0, 2), Liouville quantum gravity (LQG) is the “random surface” with

“Riemannian metric” eγh(z)(dx2 + dy 2)

◮ So far, only made sense of as an area measure using a regularization procedure ◮ LQG has a conformal structure (compute angles, etc...) and an area measure

Jason Miller (Cambridge) LQG and TBM July 15, 2015 10 / 24

slide-39
SLIDE 39

LQG and TBM

◮ Two “canonical” (but very different) constructions of random surfaces: Liouville

quantum gravity (LQG) and the Brownian map (TBM)

◮ For γ ∈ [0, 2), Liouville quantum gravity (LQG) is the “random surface” with

“Riemannian metric” eγh(z)(dx2 + dy 2)

◮ So far, only made sense of as an area measure using a regularization procedure ◮ LQG has a conformal structure (compute angles, etc...) and an area measure ◮ In contrast, TBM has a metric structure and an area measure

Jason Miller (Cambridge) LQG and TBM July 15, 2015 10 / 24

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SLIDE 40

LQG and TBM

◮ Two “canonical” (but very different) constructions of random surfaces: Liouville

quantum gravity (LQG) and the Brownian map (TBM)

◮ For γ ∈ [0, 2), Liouville quantum gravity (LQG) is the “random surface” with

“Riemannian metric” eγh(z)(dx2 + dy 2)

◮ So far, only made sense of as an area measure using a regularization procedure ◮ LQG has a conformal structure (compute angles, etc...) and an area measure ◮ In contrast, TBM has a metric structure and an area measure

This talk is about endowing each of these objects with the other’s structure and showing they are equivalent.

Jason Miller (Cambridge) LQG and TBM July 15, 2015 10 / 24

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SLIDE 41

Canonical embedding of TBM into S2

◮ TBM is an abstract metric measure space homeomorphic to S2, but it does not

  • bviously come with a canonical embedding into S2

Jason Miller (Cambridge) LQG and TBM July 15, 2015 11 / 24

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SLIDE 42

Canonical embedding of TBM into S2

◮ TBM is an abstract metric measure space homeomorphic to S2, but it does not

  • bviously come with a canonical embedding into S2

◮ It is believed that there should be a “natural embedding” of TBM into S2 and that

the embedded surface is described by a form of Liouville quantum gravity (LQG) with γ =

  • 8/3

Jason Miller (Cambridge) LQG and TBM July 15, 2015 11 / 24

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SLIDE 43

Canonical embedding of TBM into S2

◮ TBM is an abstract metric measure space homeomorphic to S2, but it does not

  • bviously come with a canonical embedding into S2

◮ It is believed that there should be a “natural embedding” of TBM into S2 and that

the embedded surface is described by a form of Liouville quantum gravity (LQG) with γ =

  • 8/3

ψ

◮ Discrete approach: take a uniformly random planar map and embed it conformally

into S2 (circle packing, uniformization, etc...), then in the n → ∞ limit it converges to a form of

  • 8/3-LQG.

Jason Miller (Cambridge) LQG and TBM July 15, 2015 11 / 24

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SLIDE 44

Canonical embedding of TBM into S2

◮ TBM is an abstract metric measure space homeomorphic to S2, but it does not

  • bviously come with a canonical embedding into S2

◮ It is believed that there should be a “natural embedding” of TBM into S2 and that

the embedded surface is described by a form of Liouville quantum gravity (LQG) with γ =

  • 8/3

ψ

◮ Discrete approach: take a uniformly random planar map and embed it conformally

into S2 (circle packing, uniformization, etc...), then in the n → ∞ limit it converges to a form of

  • 8/3-LQG. Not the approach we will describe today ...

Jason Miller (Cambridge) LQG and TBM July 15, 2015 11 / 24

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SLIDE 45

Main result

Theorem (M., Sheffield)

Suppose that (M, d, µ) is an instance of TBM. Then there exists a H¨

  • lder

homeomorphism ϕ: (M, d) → S2 such that the pushforward of µ by ϕ has the law of a

  • 8/3-LQG sphere (S2, h).

Jason Miller (Cambridge) LQG and TBM July 15, 2015 12 / 24

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SLIDE 46

Main result

Theorem (M., Sheffield)

Suppose that (M, d, µ) is an instance of TBM. Then there exists a H¨

  • lder

homeomorphism ϕ: (M, d) → S2 such that the pushforward of µ by ϕ has the law of a

  • 8/3-LQG sphere (S2, h). Moreover,

Jason Miller (Cambridge) LQG and TBM July 15, 2015 12 / 24

slide-47
SLIDE 47

Main result

Theorem (M., Sheffield)

Suppose that (M, d, µ) is an instance of TBM. Then there exists a H¨

  • lder

homeomorphism ϕ: (M, d) → S2 such that the pushforward of µ by ϕ has the law of a

  • 8/3-LQG sphere (S2, h). Moreover,

◮ ϕ is determined by (M, d, µ)

Jason Miller (Cambridge) LQG and TBM July 15, 2015 12 / 24

slide-48
SLIDE 48

Main result

Theorem (M., Sheffield)

Suppose that (M, d, µ) is an instance of TBM. Then there exists a H¨

  • lder

homeomorphism ϕ: (M, d) → S2 such that the pushforward of µ by ϕ has the law of a

  • 8/3-LQG sphere (S2, h). Moreover,

◮ ϕ is determined by (M, d, µ) (TBM determines its conformal structure)

Jason Miller (Cambridge) LQG and TBM July 15, 2015 12 / 24

slide-49
SLIDE 49

Main result

Theorem (M., Sheffield)

Suppose that (M, d, µ) is an instance of TBM. Then there exists a H¨

  • lder

homeomorphism ϕ: (M, d) → S2 such that the pushforward of µ by ϕ has the law of a

  • 8/3-LQG sphere (S2, h). Moreover,

◮ ϕ is determined by (M, d, µ) (TBM determines its conformal structure) ◮ (M, d, µ) and ϕ are determined by (S2, h)

Jason Miller (Cambridge) LQG and TBM July 15, 2015 12 / 24

slide-50
SLIDE 50

Main result

Theorem (M., Sheffield)

Suppose that (M, d, µ) is an instance of TBM. Then there exists a H¨

  • lder

homeomorphism ϕ: (M, d) → S2 such that the pushforward of µ by ϕ has the law of a

  • 8/3-LQG sphere (S2, h). Moreover,

◮ ϕ is determined by (M, d, µ) (TBM determines its conformal structure) ◮ (M, d, µ) and ϕ are determined by (S2, h) (LQG determines its metric structure)

Jason Miller (Cambridge) LQG and TBM July 15, 2015 12 / 24

slide-51
SLIDE 51

Main result

Theorem (M., Sheffield)

Suppose that (M, d, µ) is an instance of TBM. Then there exists a H¨

  • lder

homeomorphism ϕ: (M, d) → S2 such that the pushforward of µ by ϕ has the law of a

  • 8/3-LQG sphere (S2, h). Moreover,

◮ ϕ is determined by (M, d, µ) (TBM determines its conformal structure) ◮ (M, d, µ) and ϕ are determined by (S2, h) (LQG determines its metric structure)

That is, (M, d, µ) and (S2, h) are equivalent.

Jason Miller (Cambridge) LQG and TBM July 15, 2015 12 / 24

slide-52
SLIDE 52

Main result

Theorem (M., Sheffield)

Suppose that (M, d, µ) is an instance of TBM. Then there exists a H¨

  • lder

homeomorphism ϕ: (M, d) → S2 such that the pushforward of µ by ϕ has the law of a

  • 8/3-LQG sphere (S2, h). Moreover,

◮ ϕ is determined by (M, d, µ) (TBM determines its conformal structure) ◮ (M, d, µ) and ϕ are determined by (S2, h) (LQG determines its metric structure)

That is, (M, d, µ) and (S2, h) are equivalent. Comments

Jason Miller (Cambridge) LQG and TBM July 15, 2015 12 / 24

slide-53
SLIDE 53

Main result

Theorem (M., Sheffield)

Suppose that (M, d, µ) is an instance of TBM. Then there exists a H¨

  • lder

homeomorphism ϕ: (M, d) → S2 such that the pushforward of µ by ϕ has the law of a

  • 8/3-LQG sphere (S2, h). Moreover,

◮ ϕ is determined by (M, d, µ) (TBM determines its conformal structure) ◮ (M, d, µ) and ϕ are determined by (S2, h) (LQG determines its metric structure)

That is, (M, d, µ) and (S2, h) are equivalent. Comments

  • 1. Construction is purely in the continuum

Jason Miller (Cambridge) LQG and TBM July 15, 2015 12 / 24

slide-54
SLIDE 54

Main result

Theorem (M., Sheffield)

Suppose that (M, d, µ) is an instance of TBM. Then there exists a H¨

  • lder

homeomorphism ϕ: (M, d) → S2 such that the pushforward of µ by ϕ has the law of a

  • 8/3-LQG sphere (S2, h). Moreover,

◮ ϕ is determined by (M, d, µ) (TBM determines its conformal structure) ◮ (M, d, µ) and ϕ are determined by (S2, h) (LQG determines its metric structure)

That is, (M, d, µ) and (S2, h) are equivalent. Comments

  • 1. Construction is purely in the continuum
  • 2. Proof by endowing a metric space structure directly on
  • 8/3-LQG using the growth

process QLE(8/3, 0)

Jason Miller (Cambridge) LQG and TBM July 15, 2015 12 / 24

slide-55
SLIDE 55

Main result

Theorem (M., Sheffield)

Suppose that (M, d, µ) is an instance of TBM. Then there exists a H¨

  • lder

homeomorphism ϕ: (M, d) → S2 such that the pushforward of µ by ϕ has the law of a

  • 8/3-LQG sphere (S2, h). Moreover,

◮ ϕ is determined by (M, d, µ) (TBM determines its conformal structure) ◮ (M, d, µ) and ϕ are determined by (S2, h) (LQG determines its metric structure)

That is, (M, d, µ) and (S2, h) are equivalent. Comments

  • 1. Construction is purely in the continuum
  • 2. Proof by endowing a metric space structure directly on
  • 8/3-LQG using the growth

process QLE(8/3, 0)

  • 3. Resulting metric space structure is shown to satisfy axioms which characterize TBM

Jason Miller (Cambridge) LQG and TBM July 15, 2015 12 / 24

slide-56
SLIDE 56

Main result

Theorem (M., Sheffield)

Suppose that (M, d, µ) is an instance of TBM. Then there exists a H¨

  • lder

homeomorphism ϕ: (M, d) → S2 such that the pushforward of µ by ϕ has the law of a

  • 8/3-LQG sphere (S2, h). Moreover,

◮ ϕ is determined by (M, d, µ) (TBM determines its conformal structure) ◮ (M, d, µ) and ϕ are determined by (S2, h) (LQG determines its metric structure)

That is, (M, d, µ) and (S2, h) are equivalent. Comments

  • 1. Construction is purely in the continuum
  • 2. Proof by endowing a metric space structure directly on
  • 8/3-LQG using the growth

process QLE(8/3, 0)

  • 3. Resulting metric space structure is shown to satisfy axioms which characterize TBM
  • 4. Separate argument shows the embedding of TBM into
  • 8/3-LQG is determined by TBM

Jason Miller (Cambridge) LQG and TBM July 15, 2015 12 / 24

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SLIDE 57

Main result

Theorem (M., Sheffield)

Suppose that (M, d, µ) is an instance of TBM. Then there exists a H¨

  • lder

homeomorphism ϕ: (M, d) → S2 such that the pushforward of µ by ϕ has the law of a

  • 8/3-LQG sphere (S2, h). Moreover,

◮ ϕ is determined by (M, d, µ) (TBM determines its conformal structure) ◮ (M, d, µ) and ϕ are determined by (S2, h) (LQG determines its metric structure)

That is, (M, d, µ) and (S2, h) are equivalent. Comments

  • 1. Construction is purely in the continuum
  • 2. Proof by endowing a metric space structure directly on
  • 8/3-LQG using the growth

process QLE(8/3, 0)

  • 3. Resulting metric space structure is shown to satisfy axioms which characterize TBM
  • 4. Separate argument shows the embedding of TBM into
  • 8/3-LQG is determined by TBM
  • 5. Metric construction is for the
  • 8/3-LQG sphere. By absolute continuity, can construct a

metric on any

  • 8/3-LQG surface.

Jason Miller (Cambridge) LQG and TBM July 15, 2015 12 / 24

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SLIDE 58

Part II: Construction of the metric on

  • 8/3-LQG

Jason Miller (Cambridge) LQG and TBM July 15, 2015 13 / 24

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SLIDE 59

Detour: first passage percolation (FPP)

◮ Associate with a graph (V , E) i.i.d. exp(1)

edge weights

Jason Miller (Cambridge) LQG and TBM July 15, 2015 14 / 24

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SLIDE 60

Detour: first passage percolation (FPP)

◮ Associate with a graph (V , E) i.i.d. exp(1)

edge weights

0.75 1.36 4.61 0.32 0.16 1.27 1.84 0.47 0.42

Jason Miller (Cambridge) LQG and TBM July 15, 2015 14 / 24

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SLIDE 61

Detour: first passage percolation (FPP)

◮ Associate with a graph (V , E) i.i.d. exp(1)

edge weights

◮ Introduced by Eden (1961) and

Hammersley and Welsh (1965)

0.75 1.36 4.61 0.32 0.16 1.27 1.84 0.47 0.42

Jason Miller (Cambridge) LQG and TBM July 15, 2015 14 / 24

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SLIDE 62

Detour: first passage percolation (FPP)

◮ Associate with a graph (V , E) i.i.d. exp(1)

edge weights

◮ Introduced by Eden (1961) and

Hammersley and Welsh (1965)

◮ On Z2?

Jason Miller (Cambridge) LQG and TBM July 15, 2015 14 / 24

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SLIDE 63

Detour: first passage percolation (FPP)

◮ Associate with a graph (V , E) i.i.d. exp(1)

edge weights

◮ Introduced by Eden (1961) and

Hammersley and Welsh (1965)

◮ On Z2? ◮ Question: Large scale behavior of shape of

ball wrt perturbed metric?

Jason Miller (Cambridge) LQG and TBM July 15, 2015 14 / 24

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SLIDE 64

Detour: first passage percolation (FPP)

◮ Associate with a graph (V , E) i.i.d. exp(1)

edge weights

◮ Introduced by Eden (1961) and

Hammersley and Welsh (1965)

◮ On Z2? ◮ Question: Large scale behavior of shape of

ball wrt perturbed metric?

Jason Miller (Cambridge) LQG and TBM July 15, 2015 14 / 24

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SLIDE 65

Detour: first passage percolation (FPP)

◮ Associate with a graph (V , E) i.i.d. exp(1)

edge weights

◮ Introduced by Eden (1961) and

Hammersley and Welsh (1965)

◮ On Z2? ◮ Question: Large scale behavior of shape of

ball wrt perturbed metric?

◮ Cox and Durrett (1981) showed that the

macroscopic shape is convex

Jason Miller (Cambridge) LQG and TBM July 15, 2015 14 / 24

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SLIDE 66

Detour: first passage percolation (FPP)

◮ Associate with a graph (V , E) i.i.d. exp(1)

edge weights

◮ Introduced by Eden (1961) and

Hammersley and Welsh (1965)

◮ On Z2? ◮ Question: Large scale behavior of shape of

ball wrt perturbed metric?

◮ Cox and Durrett (1981) showed that the

macroscopic shape is convex

◮ Computer simulations show that it is not a

Euclidean disk

Jason Miller (Cambridge) LQG and TBM July 15, 2015 14 / 24

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SLIDE 67

Detour: first passage percolation (FPP)

◮ Associate with a graph (V , E) i.i.d. exp(1)

edge weights

◮ Introduced by Eden (1961) and

Hammersley and Welsh (1965)

◮ On Z2? ◮ Question: Large scale behavior of shape of

ball wrt perturbed metric?

◮ Cox and Durrett (1981) showed that the

macroscopic shape is convex

◮ Computer simulations show that it is not a

Euclidean disk

◮ Z2 is not isotropic enough

Jason Miller (Cambridge) LQG and TBM July 15, 2015 14 / 24

slide-68
SLIDE 68

Detour: first passage percolation (FPP)

◮ Associate with a graph (V , E) i.i.d. exp(1)

edge weights

◮ Introduced by Eden (1961) and

Hammersley and Welsh (1965)

◮ On Z2? ◮ Question: Large scale behavior of shape of

ball wrt perturbed metric?

◮ Cox and Durrett (1981) showed that the

macroscopic shape is convex

◮ Computer simulations show that it is not a

Euclidean disk

◮ Z2 is not isotropic enough ◮ Vahidi-Asl and Weirmann (1990) showed

that the rescaled ball converges to a disk if Z2 is replaced by the Voronoi tesselation associated with a Poisson process

Jason Miller (Cambridge) LQG and TBM July 15, 2015 14 / 24

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SLIDE 69

FPP on random planar maps I

◮ RPM, random vertex x. Perform FPP from x (Angel’s peeling process).

Jason Miller (Cambridge) LQG and TBM July 15, 2015 15 / 24

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SLIDE 70

FPP on random planar maps I

◮ RPM, random vertex x. Perform FPP from x (Angel’s peeling process).

Jason Miller (Cambridge) LQG and TBM July 15, 2015 15 / 24

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SLIDE 71

FPP on random planar maps I

◮ RPM, random vertex x. Perform FPP from x (Angel’s peeling process).

Jason Miller (Cambridge) LQG and TBM July 15, 2015 15 / 24

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SLIDE 72

FPP on random planar maps I

◮ RPM, random vertex x. Perform FPP from x (Angel’s peeling process).

Jason Miller (Cambridge) LQG and TBM July 15, 2015 15 / 24

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SLIDE 73

FPP on random planar maps I

◮ RPM, random vertex x. Perform FPP from x (Angel’s peeling process).

Jason Miller (Cambridge) LQG and TBM July 15, 2015 15 / 24

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SLIDE 74

FPP on random planar maps I

◮ RPM, random vertex x. Perform FPP from x (Angel’s peeling process).

Jason Miller (Cambridge) LQG and TBM July 15, 2015 15 / 24

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SLIDE 75

FPP on random planar maps I

◮ RPM, random vertex x. Perform FPP from x (Angel’s peeling process).

Jason Miller (Cambridge) LQG and TBM July 15, 2015 15 / 24

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SLIDE 76

FPP on random planar maps I

◮ RPM, random vertex x. Perform FPP from x (Angel’s peeling process).

Jason Miller (Cambridge) LQG and TBM July 15, 2015 15 / 24

slide-77
SLIDE 77

FPP on random planar maps I

◮ RPM, random vertex x. Perform FPP from x (Angel’s peeling process).

Jason Miller (Cambridge) LQG and TBM July 15, 2015 15 / 24

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SLIDE 78

FPP on random planar maps I

◮ RPM, random vertex x. Perform FPP from x (Angel’s peeling process).

Jason Miller (Cambridge) LQG and TBM July 15, 2015 15 / 24

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SLIDE 79

FPP on random planar maps I

◮ RPM, random vertex x. Perform FPP from x (Angel’s peeling process).

Jason Miller (Cambridge) LQG and TBM July 15, 2015 15 / 24

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SLIDE 80

FPP on random planar maps I

◮ RPM, random vertex x. Perform FPP from x (Angel’s peeling process).

Important observations:

◮ Conditional law of map given growth at time n only depends on the boundary

lengths of the outside components.

Jason Miller (Cambridge) LQG and TBM July 15, 2015 15 / 24

slide-81
SLIDE 81

FPP on random planar maps I

◮ RPM, random vertex x. Perform FPP from x (Angel’s peeling process).

Important observations:

◮ Conditional law of map given growth at time n only depends on the boundary

lengths of the outside components. Exploration respects the Markovian structure of the map.

Jason Miller (Cambridge) LQG and TBM July 15, 2015 15 / 24

slide-82
SLIDE 82

FPP on random planar maps I

◮ RPM, random vertex x. Perform FPP from x (Angel’s peeling process).

Important observations:

◮ Conditional law of map given growth at time n only depends on the boundary

lengths of the outside components. Exploration respects the Markovian structure of the map. Belief: Isotropic enough so that at large scales this is close to a ball in the graph metric (now proved by Curien and Le Gall)

Jason Miller (Cambridge) LQG and TBM July 15, 2015 15 / 24

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SLIDE 83

First passage percolation on random planar maps II

Goal: Make sense of FPP in the continuum on top of a LQG surface

◮ We do not know how to take a continuum limit of FPP on a random planar map

and couple it directly with LQG

◮ Explain a discrete variant of FPP that involves two operations that we do know how

to perform in the continuum:

◮ Sample random points according to boundary length ◮ Draw (scaling limits of) critical percolation interfaces (SLE6) Jason Miller (Cambridge) LQG and TBM July 15, 2015 16 / 24

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SLIDE 84

FPP on random planar maps II

Variant:

◮ Pick two edges on outer boundary

  • f cluster

Jason Miller (Cambridge) LQG and TBM July 15, 2015 17 / 24

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SLIDE 85

FPP on random planar maps II

Variant:

◮ Pick two edges on outer boundary

  • f cluster

◮ Color vertices between edges blue

and yellow

Jason Miller (Cambridge) LQG and TBM July 15, 2015 17 / 24

slide-86
SLIDE 86

FPP on random planar maps II

Variant:

◮ Pick two edges on outer boundary

  • f cluster

◮ Color vertices between edges blue

and yellow

◮ Color vertices on rest of map blue

  • r yellow with prob. 1

2

Jason Miller (Cambridge) LQG and TBM July 15, 2015 17 / 24

slide-87
SLIDE 87

FPP on random planar maps II

Variant:

◮ Pick two edges on outer boundary

  • f cluster

◮ Color vertices between edges blue

and yellow

◮ Color vertices on rest of map blue

  • r yellow with prob. 1

2

◮ Explore percolation (blue/yellow)

interface

Jason Miller (Cambridge) LQG and TBM July 15, 2015 17 / 24

slide-88
SLIDE 88

FPP on random planar maps II

Variant:

◮ Pick two edges on outer boundary

  • f cluster

◮ Color vertices between edges blue

and yellow

◮ Color vertices on rest of map blue

  • r yellow with prob. 1

2

◮ Explore percolation (blue/yellow)

interface

◮ Forget colors

Jason Miller (Cambridge) LQG and TBM July 15, 2015 17 / 24

slide-89
SLIDE 89

FPP on random planar maps II

Variant:

◮ Pick two edges on outer boundary

  • f cluster

◮ Color vertices between edges blue

and yellow

◮ Color vertices on rest of map blue

  • r yellow with prob. 1

2

◮ Explore percolation (blue/yellow)

interface

◮ Forget colors ◮ Repeat

Jason Miller (Cambridge) LQG and TBM July 15, 2015 17 / 24

slide-90
SLIDE 90

FPP on random planar maps II

Variant:

◮ Pick two edges on outer boundary

  • f cluster

◮ Color vertices between edges blue

and yellow

◮ Color vertices on rest of map blue

  • r yellow with prob. 1

2

◮ Explore percolation (blue/yellow)

interface

◮ Forget colors ◮ Repeat

Jason Miller (Cambridge) LQG and TBM July 15, 2015 17 / 24

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SLIDE 91

FPP on random planar maps II

Variant:

◮ Pick two edges on outer boundary

  • f cluster

◮ Color vertices between edges blue

and yellow

◮ Color vertices on rest of map blue

  • r yellow with prob. 1

2

◮ Explore percolation (blue/yellow)

interface

◮ Forget colors ◮ Repeat

Jason Miller (Cambridge) LQG and TBM July 15, 2015 17 / 24

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SLIDE 92

FPP on random planar maps II

Variant:

◮ Pick two edges on outer boundary

  • f cluster

◮ Color vertices between edges blue

and yellow

◮ Color vertices on rest of map blue

  • r yellow with prob. 1

2

◮ Explore percolation (blue/yellow)

interface

◮ Forget colors ◮ Repeat

Jason Miller (Cambridge) LQG and TBM July 15, 2015 17 / 24

slide-93
SLIDE 93

FPP on random planar maps II

Variant:

◮ Pick two edges on outer boundary

  • f cluster

◮ Color vertices between edges blue

and yellow

◮ Color vertices on rest of map blue

  • r yellow with prob. 1

2

◮ Explore percolation (blue/yellow)

interface

◮ Forget colors ◮ Repeat

Jason Miller (Cambridge) LQG and TBM July 15, 2015 17 / 24

slide-94
SLIDE 94

FPP on random planar maps II

Variant:

◮ Pick two edges on outer boundary

  • f cluster

◮ Color vertices between edges blue

and yellow

◮ Color vertices on rest of map blue

  • r yellow with prob. 1

2

◮ Explore percolation (blue/yellow)

interface

◮ Forget colors ◮ Repeat

Jason Miller (Cambridge) LQG and TBM July 15, 2015 17 / 24

slide-95
SLIDE 95

FPP on random planar maps II

Variant:

◮ Pick two edges on outer boundary

  • f cluster

◮ Color vertices between edges blue

and yellow

◮ Color vertices on rest of map blue

  • r yellow with prob. 1

2

◮ Explore percolation (blue/yellow)

interface

◮ Forget colors ◮ Repeat

Jason Miller (Cambridge) LQG and TBM July 15, 2015 17 / 24

slide-96
SLIDE 96

FPP on random planar maps II

Variant:

◮ Pick two edges on outer boundary

  • f cluster

◮ Color vertices between edges blue

and yellow

◮ Color vertices on rest of map blue

  • r yellow with prob. 1

2

◮ Explore percolation (blue/yellow)

interface

◮ Forget colors ◮ Repeat

Jason Miller (Cambridge) LQG and TBM July 15, 2015 17 / 24

slide-97
SLIDE 97

FPP on random planar maps II

Variant:

◮ Pick two edges on outer boundary

  • f cluster

◮ Color vertices between edges blue

and yellow

◮ Color vertices on rest of map blue

  • r yellow with prob. 1

2

◮ Explore percolation (blue/yellow)

interface

◮ Forget colors ◮ Repeat

Jason Miller (Cambridge) LQG and TBM July 15, 2015 17 / 24

slide-98
SLIDE 98

FPP on random planar maps II

Variant:

◮ Pick two edges on outer boundary

  • f cluster

◮ Color vertices between edges blue

and yellow

◮ Color vertices on rest of map blue

  • r yellow with prob. 1

2

◮ Explore percolation (blue/yellow)

interface

◮ Forget colors ◮ Repeat

Jason Miller (Cambridge) LQG and TBM July 15, 2015 17 / 24

slide-99
SLIDE 99

FPP on random planar maps II

Variant:

◮ Pick two edges on outer boundary

  • f cluster

◮ Color vertices between edges blue

and yellow

◮ Color vertices on rest of map blue

  • r yellow with prob. 1

2

◮ Explore percolation (blue/yellow)

interface

◮ Forget colors ◮ Repeat ◮ This exploration also respects the Markovian structure of the map.

Jason Miller (Cambridge) LQG and TBM July 15, 2015 17 / 24

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SLIDE 100

FPP on random planar maps II

Variant:

◮ Pick two edges on outer boundary

  • f cluster

◮ Color vertices between edges blue

and yellow

◮ Color vertices on rest of map blue

  • r yellow with prob. 1

2

◮ Explore percolation (blue/yellow)

interface

◮ Forget colors ◮ Repeat ◮ This exploration also respects the Markovian structure of the map. ◮ Expect that at large scales this growth process looks the same as FPP, hence the

same as the graph metric ball

Jason Miller (Cambridge) LQG and TBM July 15, 2015 17 / 24

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SLIDE 101

Continuum limit ansatz

◮ Sample a random planar map

Jason Miller (Cambridge) LQG and TBM July 15, 2015 18 / 24

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SLIDE 102

Continuum limit ansatz

◮ Sample a random planar map and two edges uniformly at random

Jason Miller (Cambridge) LQG and TBM July 15, 2015 18 / 24

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SLIDE 103

Continuum limit ansatz

◮ Sample a random planar map and two edges uniformly at random ◮ Color vertices blue/yellow with probability 1/2

Jason Miller (Cambridge) LQG and TBM July 15, 2015 18 / 24

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SLIDE 104

Continuum limit ansatz

◮ Sample a random planar map and two edges uniformly at random ◮ Color vertices blue/yellow with probability 1/2 and draw percolation interface

Jason Miller (Cambridge) LQG and TBM July 15, 2015 18 / 24

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SLIDE 105

Continuum limit ansatz

ψ

◮ Sample a random planar map and two edges uniformly at random ◮ Color vertices blue/yellow with probability 1/2 and draw percolation interface ◮ Conformally map to the sphere

Jason Miller (Cambridge) LQG and TBM July 15, 2015 18 / 24

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SLIDE 106

Continuum limit ansatz

ψ

◮ Sample a random planar map and two edges uniformly at random ◮ Color vertices blue/yellow with probability 1/2 and draw percolation interface ◮ Conformally map to the sphere

Ansatz Image of random map converges to a

  • 8/3-LQG surface and the image of the

interface converges to an independent SLE6.

Jason Miller (Cambridge) LQG and TBM July 15, 2015 18 / 24

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SLIDE 107

Continuum analog of first passage percolation on LQG

◮ Start off with

  • 8/3-LQG surface

◮ Fix δ > 0 small and a starting point x

Jason Miller (Cambridge) LQG and TBM July 15, 2015 19 / 24

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SLIDE 108

Continuum analog of first passage percolation on LQG

◮ Start off with

  • 8/3-LQG surface

◮ Fix δ > 0 small and a starting point x ◮ Draw δ units of SLE6

Jason Miller (Cambridge) LQG and TBM July 15, 2015 19 / 24

slide-109
SLIDE 109

Continuum analog of first passage percolation on LQG

◮ Start off with

  • 8/3-LQG surface

◮ Fix δ > 0 small and a starting point x ◮ Draw δ units of SLE6 ◮ Resample the tip according to

boundary length

Jason Miller (Cambridge) LQG and TBM July 15, 2015 19 / 24

slide-110
SLIDE 110

Continuum analog of first passage percolation on LQG

◮ Start off with

  • 8/3-LQG surface

◮ Fix δ > 0 small and a starting point x ◮ Draw δ units of SLE6 ◮ Resample the tip according to

boundary length

◮ Repeat

Jason Miller (Cambridge) LQG and TBM July 15, 2015 19 / 24

slide-111
SLIDE 111

Continuum analog of first passage percolation on LQG

◮ Start off with

  • 8/3-LQG surface

◮ Fix δ > 0 small and a starting point x ◮ Draw δ units of SLE6 ◮ Resample the tip according to

boundary length

◮ Repeat

Jason Miller (Cambridge) LQG and TBM July 15, 2015 19 / 24

slide-112
SLIDE 112

Continuum analog of first passage percolation on LQG

◮ Start off with

  • 8/3-LQG surface

◮ Fix δ > 0 small and a starting point x ◮ Draw δ units of SLE6 ◮ Resample the tip according to

boundary length

◮ Repeat

Jason Miller (Cambridge) LQG and TBM July 15, 2015 19 / 24

slide-113
SLIDE 113

Continuum analog of first passage percolation on LQG

◮ Start off with

  • 8/3-LQG surface

◮ Fix δ > 0 small and a starting point x ◮ Draw δ units of SLE6 ◮ Resample the tip according to

boundary length

◮ Repeat

Jason Miller (Cambridge) LQG and TBM July 15, 2015 19 / 24

slide-114
SLIDE 114

Continuum analog of first passage percolation on LQG

◮ Start off with

  • 8/3-LQG surface

◮ Fix δ > 0 small and a starting point x ◮ Draw δ units of SLE6 ◮ Resample the tip according to

boundary length

◮ Repeat

Jason Miller (Cambridge) LQG and TBM July 15, 2015 19 / 24

slide-115
SLIDE 115

Continuum analog of first passage percolation on LQG

◮ Start off with

  • 8/3-LQG surface

◮ Fix δ > 0 small and a starting point x ◮ Draw δ units of SLE6 ◮ Resample the tip according to

boundary length

◮ Repeat

Jason Miller (Cambridge) LQG and TBM July 15, 2015 19 / 24

slide-116
SLIDE 116

Continuum analog of first passage percolation on LQG

◮ Start off with

  • 8/3-LQG surface

◮ Fix δ > 0 small and a starting point x ◮ Draw δ units of SLE6 ◮ Resample the tip according to

boundary length

◮ Repeat ◮ Know the conditional law of the LQG

surface at each stage

Jason Miller (Cambridge) LQG and TBM July 15, 2015 19 / 24

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SLIDE 117

Continuum analog of first passage percolation on LQG

◮ Start off with

  • 8/3-LQG surface

◮ Fix δ > 0 small and a starting point x ◮ Draw δ units of SLE6 ◮ Resample the tip according to

boundary length

◮ Repeat ◮ Know the conditional law of the LQG

surface at each stage QLE(8/3, 0) is the limit as δ → 0 of this growth process. It is described in terms of a radial Loewner evolution which is driven by a measure valued diffusion.

Jason Miller (Cambridge) LQG and TBM July 15, 2015 19 / 24

slide-118
SLIDE 118

Continuum analog of first passage percolation on LQG

◮ Start off with

  • 8/3-LQG surface

◮ Fix δ > 0 small and a starting point x ◮ Draw δ units of SLE6 ◮ Resample the tip according to

boundary length

◮ Repeat ◮ Know the conditional law of the LQG

surface at each stage QLE(8/3, 0) is the limit as δ → 0 of this growth process. It is described in terms of a radial Loewner evolution which is driven by a measure valued diffusion. QLE(8/3, 0) is SLE6 with tip re-randomization.

Jason Miller (Cambridge) LQG and TBM July 15, 2015 19 / 24

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SLIDE 119

Discrete approximation of QLE(8/3, 0). Metric ball on a

  • 8/3-LQG

Jason Miller (Cambridge) LQG and TBM July 15, 2015 20 / 24

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SLIDE 120

Emergence of TBM in

  • 8/3-LQG

◮ So far, have described a growth process QLE(8/3, 0) which is a candidate for

growth of a metric ball on

  • 8/3-LQG.

Jason Miller (Cambridge) LQG and TBM July 15, 2015 21 / 24

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SLIDE 121

Emergence of TBM in

  • 8/3-LQG

◮ So far, have described a growth process QLE(8/3, 0) which is a candidate for

growth of a metric ball on

  • 8/3-LQG.

◮ Not obvious that QLE(8/3, 0) corresponds to the metric balls in a metric space

Jason Miller (Cambridge) LQG and TBM July 15, 2015 21 / 24

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SLIDE 122

Emergence of TBM in

  • 8/3-LQG

◮ So far, have described a growth process QLE(8/3, 0) which is a candidate for

growth of a metric ball on

  • 8/3-LQG.

◮ Not obvious that QLE(8/3, 0) corresponds to the metric balls in a metric space ◮ Requires an additional argument — make use of a trick developed by Sheffield,

Watson, Wu in the context of CLE4. Reduces (in a non-trivial way) to the reversibility of whole-plane SLE6.

Jason Miller (Cambridge) LQG and TBM July 15, 2015 21 / 24

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SLIDE 123

Emergence of TBM in

  • 8/3-LQG

◮ So far, have described a growth process QLE(8/3, 0) which is a candidate for

growth of a metric ball on

  • 8/3-LQG.

◮ Not obvious that QLE(8/3, 0) corresponds to the metric balls in a metric space ◮ Requires an additional argument — make use of a trick developed by Sheffield,

Watson, Wu in the context of CLE4. Reduces (in a non-trivial way) to the reversibility of whole-plane SLE6.

◮ Still a lot of work to show that resulting metric space structure has the law of TBM

and that

  • 8/3-LQG and TBM are measurable with respect to each other. But can

start to see the Brownian map structure emerge: boundary lengths of metric balls in both spaces evolve in the same way.

Jason Miller (Cambridge) LQG and TBM July 15, 2015 21 / 24

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SLIDE 124

Quantum Loewner evolution

QLE(8/3, 0) is a member of a family of processes which are candidates for the scaling limits of DLA and the dielectric breakdown model on LQG surfaces. More in Scott Sheffield’s talk on Friday.

Jason Miller (Cambridge) LQG and TBM July 15, 2015 22 / 24

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SLIDE 125

Further questions

◮ What is the law of the geodesics for

  • 8/3-LQG?

Jason Miller (Cambridge) LQG and TBM July 15, 2015 23 / 24

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SLIDE 126

Further questions

◮ What is the law of the geodesics for

  • 8/3-LQG?

◮ What is their dimension? Jason Miller (Cambridge) LQG and TBM July 15, 2015 23 / 24

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SLIDE 127

Further questions

◮ What is the law of the geodesics for

  • 8/3-LQG?

◮ What is their dimension?

◮ What about γ =

  • 8/3?

Jason Miller (Cambridge) LQG and TBM July 15, 2015 23 / 24

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SLIDE 128

Further questions

◮ What is the law of the geodesics for

  • 8/3-LQG?

◮ What is their dimension?

◮ What about γ =

  • 8/3?

◮ Is there an explicit description of the metric space structure (like for TBM)? Jason Miller (Cambridge) LQG and TBM July 15, 2015 23 / 24

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SLIDE 129

Further questions

◮ What is the law of the geodesics for

  • 8/3-LQG?

◮ What is their dimension?

◮ What about γ =

  • 8/3?

◮ Is there an explicit description of the metric space structure (like for TBM)? ◮ What is the dimension of the metric space? Jason Miller (Cambridge) LQG and TBM July 15, 2015 23 / 24

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SLIDE 130

Thanks!

Jason Miller (Cambridge) LQG and TBM July 15, 2015 24 / 24