CDT & Trees

93
In Search for Quantum Gravity: CDT & Friends, Dec. 11-14, 2012, Nijmegen CDT & Trees Timothy Budd Niels Bohr Institute, Copenhagen. [email protected] Collaboration with J. Ambjørn

Transcript of CDT & Trees

Page 1: CDT & Trees

In Search for Quantum Gravity: CDT & Friends,Dec. 11-14, 2012, Nijmegen

CDT & Trees

Timothy BuddNiels Bohr Institute, Copenhagen.

[email protected]

Collaboration with J. Ambjørn

Page 2: CDT & Trees

Outline

I Quadrangulations & Trees: ←→

0+

+000

- 0-+

+0 --0

- 00+

--

I CDT & Trees: ←→

I Generalized CDT & Trees: ←→

0+

+000

- 0-+

+0 --0

- 00+

--

I Loop amplitudes & Planar maps: ←→0

0

Page 3: CDT & Trees

The Cori–Vauquelin–Schaeffer bijection[Cori, Vauquelin, ’81]

[Schaeffer, ’98]

I Quadrangulation

→ mark a point → distance labeling → apply rules→ labelled tree.

I Labelled tree

→ add squares → identify corners → quadrangulation.

Page 4: CDT & Trees

The Cori–Vauquelin–Schaeffer bijection[Cori, Vauquelin, ’81]

[Schaeffer, ’98]

I Quadrangulation → mark a point

→ distance labeling → apply rules→ labelled tree.

I Labelled tree

→ add squares → identify corners → quadrangulation.

Page 5: CDT & Trees

The Cori–Vauquelin–Schaeffer bijection[Cori, Vauquelin, ’81]

[Schaeffer, ’98]

t t

t + 1

t - 1

t t

t + 1

t + 1

I Quadrangulation → mark a point → distance labeling

→ apply rules→ labelled tree.

I Labelled tree

→ add squares → identify corners → quadrangulation.

Page 6: CDT & Trees

The Cori–Vauquelin–Schaeffer bijection[Cori, Vauquelin, ’81]

[Schaeffer, ’98]

t t

t + 1

t - 1

t t

t + 1

t + 1

I Quadrangulation → mark a point → distance labeling → apply rules

→ labelled tree.

I Labelled tree

→ add squares → identify corners → quadrangulation.

Page 7: CDT & Trees

The Cori–Vauquelin–Schaeffer bijection[Cori, Vauquelin, ’81]

[Schaeffer, ’98]

t t

t + 1

t - 1

t t

t + 1

t + 1

I Quadrangulation → mark a point → distance labeling → apply rules

→ labelled tree.

I Labelled tree

→ add squares → identify corners → quadrangulation.

Page 8: CDT & Trees

The Cori–Vauquelin–Schaeffer bijection[Cori, Vauquelin, ’81]

[Schaeffer, ’98]

t t

t + 1

t - 1

t t

t + 1

t + 1

I Quadrangulation → mark a point → distance labeling → apply rules

→ labelled tree.

I Labelled tree

→ add squares → identify corners → quadrangulation.

Page 9: CDT & Trees

The Cori–Vauquelin–Schaeffer bijection[Cori, Vauquelin, ’81]

[Schaeffer, ’98]

t t

t + 1

t - 1

t t

t + 1

t + 1

I Quadrangulation → mark a point → distance labeling → apply rules→ labelled tree.

I Labelled tree

→ add squares → identify corners → quadrangulation.

Page 10: CDT & Trees

The Cori–Vauquelin–Schaeffer bijection[Cori, Vauquelin, ’81]

[Schaeffer, ’98]

t t

t + 1

t - 1

t t

t + 1

t + 1

I Quadrangulation → mark a point → distance labeling → apply rules→ labelled tree.

I Labelled tree

→ add squares → identify corners → quadrangulation.

Page 11: CDT & Trees

The Cori–Vauquelin–Schaeffer bijection

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[Cori, Vauquelin, ’81]

[Schaeffer, ’98]

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t + 1

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t + 1

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I Quadrangulation → mark a point → distance labeling → apply rules→ labelled tree.

I Labelled tree

→ add squares → identify corners → quadrangulation.

Page 12: CDT & Trees

The Cori–Vauquelin–Schaeffer bijection

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[Cori, Vauquelin, ’81]

[Schaeffer, ’98]

t t

t + 1

t - 1

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t + 1

t + 1

I Quadrangulation → mark a point → distance labeling → apply rules→ labelled tree.

I Labelled tree → add squares

→ identify corners → quadrangulation.

Page 13: CDT & Trees

The Cori–Vauquelin–Schaeffer bijection

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[Cori, Vauquelin, ’81]

[Schaeffer, ’98]

t t

t + 1

t - 1

t t

t + 1

t + 1

I Quadrangulation → mark a point → distance labeling → apply rules→ labelled tree.

I Labelled tree → add squares → identify corners

→ quadrangulation.

Page 14: CDT & Trees

The Cori–Vauquelin–Schaeffer bijection

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[Cori, Vauquelin, ’81]

[Schaeffer, ’98]

t t

t + 1

t - 1

t t

t + 1

t + 1

I Quadrangulation → mark a point → distance labeling → apply rules→ labelled tree.

I Labelled tree → add squares → identify corners

→ quadrangulation.

Page 15: CDT & Trees

The Cori–Vauquelin–Schaeffer bijection[Cori, Vauquelin, ’81]

[Schaeffer, ’98]

t t

t + 1

t - 1

t t

t + 1

t + 1

I Quadrangulation → mark a point → distance labeling → apply rules→ labelled tree.

I Labelled tree → add squares → identify corners → quadrangulation.

Page 16: CDT & Trees

Rooting the tree (Miermont, Bouttier, Guitter, Le Gall,...)

I We will be using the bijection:{Quadrangulations with originand marked edge

}↔{

Rooted planar treeslabelled by +, 0,−

}×Z2

Page 17: CDT & Trees

Rooting the tree (Miermont, Bouttier, Guitter, Le Gall,...)

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}↔{

Rooted planar treeslabelled by +, 0,−

}×Z2

Page 18: CDT & Trees

Rooting the tree (Miermont, Bouttier, Guitter, Le Gall,...)

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I We will be using the bijection:{Quadrangulations with originand marked edge

}↔{

Rooted planar treeslabelled by +, 0,−

}×Z2

Page 19: CDT & Trees

Rooting the tree (Miermont, Bouttier, Guitter, Le Gall,...)

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}↔{

Rooted planar treeslabelled by +, 0,−

}×Z2

Page 20: CDT & Trees

Rooting the tree (Miermont, Bouttier, Guitter, Le Gall,...)

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I We will be using the bijection:{Quadrangulations with originand marked edge

}↔{

Rooted planar treeslabelled by +, 0,−

}×Z2

Page 21: CDT & Trees

Causal triangulations/quadrangulations

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[Krikun, Yambartsev ’08]

[Durhuus, Jonsson, Wheater ’09]

(Wednesday’s talks!)

I If we take the origin at t = 0 and the root at final time, all edges ofthe tree are labeled −.

I Quadrangulations ↔ labeled trees. Causal quadr. ↔ trees.I As a direct consequence: With N squares we can build

#

{ }N

= C (N), #

{ }N

= 2C (N)3N , C (N) =1

N + 1

(2NN

)

Page 22: CDT & Trees

Causal triangulations/quadrangulations

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[Krikun, Yambartsev ’08]

[Durhuus, Jonsson, Wheater ’09]

(Wednesday’s talks!)

I If we take the origin at t = 0 and the root at final time, all edges ofthe tree are labeled −.

I Quadrangulations ↔ labeled trees. Causal quadr. ↔ trees.I As a direct consequence: With N squares we can build

#

{ }N

= C (N), #

{ }N

= 2C (N)3N , C (N) =1

N + 1

(2NN

)

Page 23: CDT & Trees

Causal triangulations/quadrangulations

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[Krikun, Yambartsev ’08]

[Durhuus, Jonsson, Wheater ’09]

(Wednesday’s talks!)

I If we take the origin at t = 0 and the root at final time, all edges ofthe tree are labeled −.

I Quadrangulations ↔ labeled trees. Causal quadr. ↔ trees.I As a direct consequence: With N squares we can build

#

{ }N

= C (N), #

{ }N

= 2C (N)3N , C (N) =1

N + 1

(2NN

)

Page 24: CDT & Trees

Causal triangulations/quadrangulations

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[Krikun, Yambartsev ’08]

[Durhuus, Jonsson, Wheater ’09]

(Wednesday’s talks!)

I If we take the origin at t = 0 and the root at final time, all edges ofthe tree are labeled −.

I Quadrangulations ↔ labeled trees. Causal quadr. ↔ trees.

I As a direct consequence: With N squares we can build

#

{ }N

= C (N), #

{ }N

= 2C (N)3N , C (N) =1

N + 1

(2NN

)

Page 25: CDT & Trees

Causal triangulations/quadrangulations

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t

[Krikun, Yambartsev ’08]

[Durhuus, Jonsson, Wheater ’09]

(Wednesday’s talks!)

I If we take the origin at t = 0 and the root at final time, all edges ofthe tree are labeled −.

I Quadrangulations ↔ labeled trees. Causal quadr. ↔ trees.I As a direct consequence: With N squares we can build

#

{ }N

= C (N), #

{ }N

= 2C (N)3N , C (N) =1

N + 1

(2NN

)

Page 26: CDT & Trees

Including boundaries [Bettinelli ’11]

I A quadrangulations withboundary length 2l

and anorigin.

I Applying the same prescriptionwe obtain a forest rooted at theboundary.

I The labels on the boundaryarise from a (closed) randomwalk.

I A (possibly empty) tree growsat the end of every +-edge.

I There is a bijection [Bettinelli]

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{Quadrangulations with originand boundary length 2l

}↔ {(+,−)-sequences} × {tree}l

Page 27: CDT & Trees

Including boundaries [Bettinelli ’11]

I A quadrangulations withboundary length 2l and anorigin.

I Applying the same prescriptionwe obtain a forest rooted at theboundary.

I The labels on the boundaryarise from a (closed) randomwalk.

I A (possibly empty) tree growsat the end of every +-edge.

I There is a bijection [Bettinelli]

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{Quadrangulations with originand boundary length 2l

}↔ {(+,−)-sequences} × {tree}l

Page 28: CDT & Trees

Including boundaries [Bettinelli ’11]

I A quadrangulations withboundary length 2l and anorigin.

I Applying the same prescriptionwe obtain a forest rooted at theboundary.

I The labels on the boundaryarise from a (closed) randomwalk.

I A (possibly empty) tree growsat the end of every +-edge.

I There is a bijection [Bettinelli]

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{Quadrangulations with originand boundary length 2l

}↔ {(+,−)-sequences} × {tree}l

Page 29: CDT & Trees

Including boundaries [Bettinelli ’11]

I A quadrangulations withboundary length 2l and anorigin.

I Applying the same prescriptionwe obtain a forest rooted at theboundary.

I The labels on the boundaryarise from a (closed) randomwalk.

I A (possibly empty) tree growsat the end of every +-edge.

I There is a bijection [Bettinelli]

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{Quadrangulations with originand boundary length 2l

}↔ {(+,−)-sequences} × {tree}l

Page 30: CDT & Trees

Including boundaries [Bettinelli ’11]

I A quadrangulations withboundary length 2l and anorigin.

I Applying the same prescriptionwe obtain a forest rooted at theboundary.

I The labels on the boundaryarise from a (closed) randomwalk.

I A (possibly empty) tree growsat the end of every +-edge.

I There is a bijection [Bettinelli]

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+

+

{Quadrangulations with originand boundary length 2l

}↔ {(+,−)-sequences} × {tree}l

Page 31: CDT & Trees

Including boundaries [Bettinelli ’11]

I A quadrangulations withboundary length 2l and anorigin.

I Applying the same prescriptionwe obtain a forest rooted at theboundary.

I The labels on the boundaryarise from a (closed) randomwalk.

I A (possibly empty) tree growsat the end of every +-edge.

I There is a bijection [Bettinelli]

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{Quadrangulations with originand boundary length 2l

}↔ {(+,−)-sequences} × {tree}l

Page 32: CDT & Trees

Disk amplitudes

w(g , l) = z(g)l

w(g , x) =∞∑l=0

w(g , l)x l =1

1− z(g)x

w(g , l) =

(2ll

)z(g)l

w(g , x) =1√

1− 4z(g)x

Generating functionfor unlabeled trees:

z(g) =1−√

1− 4g

2g

0+

+000

- 0-+

+0 --0

- 00+

--

Generating functionfor labeled trees:

z(g) =1−√

1− 12g

6g

Page 33: CDT & Trees

Disk amplitudes

w(g , l) = z(g)l

w(g , x) =∞∑l=0

w(g , l)x l =1

1− z(g)x

w(g , l) =

(2ll

)z(g)l

w(g , x) =1√

1− 4z(g)x

Generating functionfor unlabeled trees:

z(g) =1−√

1− 4g

2g

0+

+000

- 0-+

+0 --0

- 00+

--

Generating functionfor labeled trees:

z(g) =1−√

1− 12g

6g

Page 34: CDT & Trees

Disk amplitudes

w(g , l) = z(g)l

w(g , x) =∞∑l=0

w(g , l)x l =1

1− z(g)x

w(g , l) =

(2ll

)z(g)l

w(g , x) =1√

1− 4z(g)x

Generating functionfor unlabeled trees:

z(g) =1−√

1− 4g

2g

0+

+000

- 0-+

+0 --0

- 00+

--

Generating functionfor labeled trees:

z(g) =1−√

1− 12g

6g

Page 35: CDT & Trees

Disk amplitudes

w(g , l) = z(g)l

w(g , x) =∞∑l=0

w(g , l)x l =1

1− z(g)x

w(g , l) =

(2ll

)z(g)l

w(g , x) =1√

1− 4z(g)x

Generating functionfor unlabeled trees:

z(g) =1−√

1− 4g

2g

0+

+000

- 0-+

+0 --0

- 00+

--

Generating functionfor labeled trees:

z(g) =1−√

1− 12g

6g

Page 36: CDT & Trees

Continuum limit

w(g , x) =1

1− zx

WΛ(X ) =1

X + Z

w(g , x) =1√

1− 4zx

W ′Λ(X ) =1√

X + Z

z(g) = 1−√

1−4g2g

Z =√

Λ

0+

+000

- 0-+

+0 --0

- 00+

--

z(g) = 1−√

1−12g6g

Z =√

Λ

I Expanding around critical point in terms of “lattice spacing” ε:

g = gc(1− Λε2), z(g) = zc(1− Zε), x = xc(1− X ε)

I CDT disk amplitude: WΛ(X ) = 1X+√

Λ

I DT disk amplitude with marked point: W ′Λ(X ) = 1√X+√

Λ. Integrate

w.r.t. Λ to remove mark: WΛ(X ) = 23 (X − 1

2

√Λ)√

X +√

Λ.

Page 37: CDT & Trees

Continuum limit

w(g , x) =1

1− zx

WΛ(X ) =1

X + Z

w(g , x) =1√

1− 4zx

W ′Λ(X ) =1√

X + Z

z(g) = 1−√

1−4g2g

Z =√

Λ

0+

+000

- 0-+

+0 --0

- 00+

--

z(g) = 1−√

1−12g6g

Z =√

Λ

I Expanding around critical point in terms of “lattice spacing” ε:

g = gc(1− Λε2), z(g) = zc(1− Zε), x = xc(1− X ε)

I CDT disk amplitude: WΛ(X ) = 1X+√

Λ

I DT disk amplitude with marked point: W ′Λ(X ) = 1√X+√

Λ. Integrate

w.r.t. Λ to remove mark: WΛ(X ) = 23 (X − 1

2

√Λ)√

X +√

Λ.

Page 38: CDT & Trees

Continuum limit

w(g , x) =1

1− zx

WΛ(X ) =1

X + Z

w(g , x) =1√

1− 4zx

W ′Λ(X ) =1√

X + Z

z(g) = 1−√

1−4g2g

Z =√

Λ

0+

+000

- 0-+

+0 --0

- 00+

--

z(g) = 1−√

1−12g6g

Z =√

Λ

I Expanding around critical point in terms of “lattice spacing” ε:

g = gc(1− Λε2), z(g) = zc(1− Zε), x = xc(1− X ε)

I CDT disk amplitude: WΛ(X ) = 1X+√

Λ

I DT disk amplitude with marked point: W ′Λ(X ) = 1√X+√

Λ. Integrate

w.r.t. Λ to remove mark: WΛ(X ) = 23 (X − 1

2

√Λ)√

X +√

Λ.

Page 39: CDT & Trees

Continuum limit

w(g , x) =1

1− zx

WΛ(X ) =1

X + Z

w(g , x) =1√

1− 4zx

W ′Λ(X ) =1√

X + Z

z(g) = 1−√

1−4g2g

Z =√

Λ

0+

+000

- 0-+

+0 --0

- 00+

--

z(g) = 1−√

1−12g6g

Z =√

Λ

I Expanding around critical point in terms of “lattice spacing” ε:

g = gc(1− Λε2), z(g) = zc(1− Zε), x = xc(1− X ε)

I CDT disk amplitude: WΛ(X ) = 1X+√

Λ

I DT disk amplitude with marked point: W ′Λ(X ) = 1√X+√

Λ. Integrate

w.r.t. Λ to remove mark: WΛ(X ) = 23 (X − 1

2

√Λ)√

X +√

Λ.

Page 40: CDT & Trees

Continuum limit

w(g , x) =1

1− zx

WΛ(X ) =1

X + Z

w(g , x) =1√

1− 4zx

W ′Λ(X ) =1√

X + Z

z(g) = 1−√

1−4g2g

Z =√

Λ

0+

+000

- 0-+

+0 --0

- 00+

--

z(g) = 1−√

1−12g6g

Z =√

Λ

I Expanding around critical point in terms of “lattice spacing” ε:

g = gc(1− Λε2), z(g) = zc(1− Zε), x = xc(1− X ε)

I CDT disk amplitude: WΛ(X ) = 1X+√

Λ

I DT disk amplitude with marked point: W ′Λ(X ) = 1√X+√

Λ. Integrate

w.r.t. Λ to remove mark: WΛ(X ) = 23 (X − 1

2

√Λ)√X +

√Λ.

Page 41: CDT & Trees

Generalized CDT [Ambjørn, Loll, Westra, Zohren ’07]

I Assign coupling a to the local maxima of thedistance function.

I In terms of labeled trees:

I Local maximum if +/0coming in and any numberof 0/−’s going out.

5 4

44

4

4 4

5

3

3

5

5

I We can write down equations for the generating functions

-

= g∞∑k=0

(-

+0

++

)k= g

(1−

-

−0−

+

)−1

+

=0

= g

[ ∞∑k=0

(-

+0

++

)k+ (a− 1)

∞∑k=0

(-

+0

)k]

=-

+ g(a− 1)(

1−-

−0

)−1

Page 42: CDT & Trees

Generalized CDT [Ambjørn, Loll, Westra, Zohren ’07]

I Assign coupling a to the local maxima of thedistance function.

I In terms of labeled trees:

I Local maximum if +/0coming in and any numberof 0/−’s going out.

5 4

44

4

4 4

5

3

3

5

5

I We can write down equations for the generating functions

-

= g∞∑k=0

(-

+0

++

)k= g

(1−

-

−0−

+

)−1

+

=0

= g

[ ∞∑k=0

(-

+0

++

)k+ (a− 1)

∞∑k=0

(-

+0

)k]

=-

+ g(a− 1)(

1−-

−0

)−1

Page 43: CDT & Trees

Generalized CDT [Ambjørn, Loll, Westra, Zohren ’07]

I Assign coupling a to the local maxima of thedistance function.

I In terms of labeled trees:

I Local maximum if +/0coming in and any numberof 0/−’s going out.

5 4

44

4

4 4

5

3

3

5

5

I We can write down equations for the generating functions

-

= g∞∑k=0

(-

+0

++

)k= g

(1−

-

−0−

+

)−1

+

=0

= g

[ ∞∑k=0

(-

+0

++

)k+ (a− 1)

∞∑k=0

(-

+0

)k]

=-

+ g(a− 1)(

1−-

−0

)−1

Page 44: CDT & Trees

Generalized CDT [Ambjørn, Loll, Westra, Zohren ’07]

I Assign coupling a to the local maxima of thedistance function.

I In terms of labeled trees:

I Local maximum if +/0coming in and any numberof 0/−’s going out.

5 4

4

5

5

5

I We can write down equations for the generating functions

-

= g∞∑k=0

(-

+0

++

)k= g

(1−

-

−0−

+

)−1

+

=0

= g

[ ∞∑k=0

(-

+0

++

)k+ (a− 1)

∞∑k=0

(-

+0

)k]

=-

+ g(a− 1)(

1−-

−0

)−1

Page 45: CDT & Trees

Generalized CDT [Ambjørn, Loll, Westra, Zohren ’07]

I Assign coupling a to the local maxima of thedistance function.

I In terms of labeled trees:

I Local maximum if +/0coming in and any numberof 0/−’s going out.

+�0

0�-

0�-

0�-

0�-

I We can write down equations for the generating functions

-

= g∞∑k=0

(-

+0

++

)k= g

(1−

-

−0−

+

)−1

+

=0

= g

[ ∞∑k=0

(-

+0

++

)k+ (a− 1)

∞∑k=0

(-

+0

)k]

=-

+ g(a− 1)(

1−-

−0

)−1

Page 46: CDT & Trees

Generalized CDT [Ambjørn, Loll, Westra, Zohren ’07]

I Assign coupling a to the local maxima of thedistance function.

I In terms of labeled trees:

I Local maximum if +/0coming in and any numberof 0/−’s going out.

+�0

0�-

0�-

0�-

0�-

I We can write down equations for the generating functions

-

= g∞∑k=0

(-

+0

++

)k= g

(1−

-

−0−

+

)−1

+

=0

= g

[ ∞∑k=0

(-

+0

++

)k+ (a− 1)

∞∑k=0

(-

+0

)k]

=-

+ g(a− 1)(

1−-

−0

)−1

Page 47: CDT & Trees

Generalized CDT [Ambjørn, Loll, Westra, Zohren ’07]

I Assign coupling a to the local maxima of thedistance function.

I In terms of labeled trees:

I Local maximum if +/0coming in and any numberof 0/−’s going out.

+�0

0�-

0�-

0�-

0�-

I We can write down equations for the generating functions

-

= g∞∑k=0

(-

+0

++

)k= g

(1−

-

−0−

+

)−1

+

=0

= g

[ ∞∑k=0

(-

+0

++

)k+ (a− 1)

∞∑k=0

(-

+0

)k]

=-

+ g(a− 1)(

1−-

−0

)−1

Page 48: CDT & Trees

-

= g(

1−-

−0−

+

)−1

+

=0

=-

+ g(a− 1)(

1−-

−0

)−1

I Combine into one equation for z−(g , a) =-

:

3z4− − 4z3

− + (1 + 2g(1− 2a))z2− − g2 = 0

I Phase diagram for weighted labeled trees (constant a):

a = 0

a = 1

CDT

DT

01

12

1

8

1

6

1

4

1

24

5

24

g

1

6

1

2

1

3

z-Hg, aL

Page 49: CDT & Trees

-

= g(

1−-

−0−

+

)−1

+

=0

=-

+ g(a− 1)(

1−-

−0

)−1

I Combine into one equation for z−(g , a) =-

:

3z4− − 4z3

− + (1 + 2g(1− 2a))z2− − g2 = 0

I Phase diagram for weighted labeled trees (constant a):

a = 0

a = 1

CDT

DT

01

12

1

8

1

6

1

4

1

24

5

24

g

1

6

1

2

1

3

z-Hg, aL

Page 50: CDT & Trees

-

= g(

1−-

−0−

+

)−1

+

=0

=-

+ g(a− 1)(

1−-

−0

)−1

I Combine into one equation for z−(g , a) =-

:

3z4− − 4z3

− + (1 + 2g(1− 2a))z2− − g2 = 0

I Phase diagram for weighted labeled trees (constant a):

2 z3- 3 z4

- g2= 0

a = 0

a = 1

01

12

1

8

1

6

1

4

1

24

5

24

g

1

6

1

2

1

3

z-Hg, aL

Page 51: CDT & Trees

-

= g(

1−-

−0−

+

)−1

+

=0

=-

+ g(a− 1)(

1−-

−0

)−1

I Combine into one equation for z−(g , a) =-

:

3z4− − 4z3

− + (1 + 2g(1− 2a))z2− − g2 = 0

I Phase diagram for weighted labeled trees (constant a):

2 z3- 3 z4

- g2= 0

a = 0

a = 1

01

12

1

8

1

6

1

4

1

24

5

24

g

1

6

1

2

1

3

z-Hg, aL

Page 52: CDT & Trees

N = 2000, a = 0, Nmax = 0

Page 53: CDT & Trees

N = 5000, a = 0.00007, Nmax = 11

Page 54: CDT & Trees

N = 7000, a = 0.0002, Nmax = 37

Page 55: CDT & Trees

N = 7000, a = 0.004, Nmax = 221

Page 56: CDT & Trees

N = 4000, a = 0.02, Nmax = 362

Page 57: CDT & Trees

N = 2500, a = 1, Nmax = 1216

Page 58: CDT & Trees

I The number of local maxima Nmax(a) scales with N at the criticalpoint,

〈Nmax(a)〉NN

= 2(a

2

)2/3

+O(a),〈Nmax(a = 1)〉N

N= 1/2

I Therefore, to obtain a finite continuum density of critical points oneshould scale a ∝ N−3/2, i.e. a = gsε

3 as observed in [ALWZ ’07].

I This is the only scaling leading to a continuum limit qualitativelydifferent from DT and CDT.

I Continuum limit g = gc(a)(1− Λε2),z− = z−,c(1− Zε), a = gsε

3:

Z 3 −(

Λ + 3(gs

2

)2/3)Z − gs = 0

I “Cup function” WΛ(X ) = 1X+Z . Agrees with

[ALWZ ’07].

Page 59: CDT & Trees

I The number of local maxima Nmax(a) scales with N at the criticalpoint,

〈Nmax(a)〉NN

= 2(a

2

)2/3

+O(a),〈Nmax(a = 1)〉N

N= 1/2

I Therefore, to obtain a finite continuum density of critical points oneshould scale a ∝ N−3/2, i.e. a = gsε

3 as observed in [ALWZ ’07].

I This is the only scaling leading to a continuum limit qualitativelydifferent from DT and CDT.

I Continuum limit g = gc(a)(1− Λε2),z− = z−,c(1− Zε), a = gsε

3:

Z 3 −(

Λ + 3(gs

2

)2/3)Z − gs = 0

I “Cup function” WΛ(X ) = 1X+Z . Agrees with

[ALWZ ’07].

Page 60: CDT & Trees

I The number of local maxima Nmax(a) scales with N at the criticalpoint,

〈Nmax(a)〉NN

= 2(a

2

)2/3

+O(a),〈Nmax(a = 1)〉N

N= 1/2

I Therefore, to obtain a finite continuum density of critical points oneshould scale a ∝ N−3/2, i.e. a = gsε

3 as observed in [ALWZ ’07].

I This is the only scaling leading to a continuum limit qualitativelydifferent from DT and CDT.

I Continuum limit g = gc(a)(1− Λε2),z− = z−,c(1− Zε), a = gsε

3:

Z 3 −(

Λ + 3(gs

2

)2/3)Z − gs = 0

I “Cup function” WΛ(X ) = 1X+Z . Agrees with

[ALWZ ’07].

Page 61: CDT & Trees

I The number of local maxima Nmax(a) scales with N at the criticalpoint,

〈Nmax(a)〉NN

= 2(a

2

)2/3

+O(a),〈Nmax(a = 1)〉N

N= 1/2

I Therefore, to obtain a finite continuum density of critical points oneshould scale a ∝ N−3/2, i.e. a = gsε

3 as observed in [ALWZ ’07].

I This is the only scaling leading to a continuum limit qualitativelydifferent from DT and CDT.

I Continuum limit g = gc(a)(1− Λε2),z− = z−,c(1− Zε), a = gsε

3:

Z 3 −(

Λ + 3(gs

2

)2/3)Z − gs = 0

I “Cup function” WΛ(X ) = 1X+Z . Agrees with

[ALWZ ’07].

Page 62: CDT & Trees

I The number of local maxima Nmax(a) scales with N at the criticalpoint,

〈Nmax(a)〉NN

= 2(a

2

)2/3

+O(a),〈Nmax(a = 1)〉N

N= 1/2

I Therefore, to obtain a finite continuum density of critical points oneshould scale a ∝ N−3/2, i.e. a = gsε

3 as observed in [ALWZ ’07].

I This is the only scaling leading to a continuum limit qualitativelydifferent from DT and CDT.

I Continuum limit g = gc(a)(1− Λε2),z− = z−,c(1− Zε), a = gsε

3:

Z 3 −(

Λ + 3(gs

2

)2/3)Z − gs = 0

I “Cup function” WΛ(X ) = 1X+Z . Agrees with

[ALWZ ’07].

Page 63: CDT & Trees

Two loop identity in generalized CDT

I Consider surfaces with two boundaries separatedby a geodesic distance D.

I One can assign time T1, T2 to the boundaries(|T1 − T2| ≤ D) and study a “merging” process.

I For a given surface the foliation depends onT1 − T2, hence also Nmax and its weight.

I However, in [ALWZ ’07] it was shown that theamplitude is independent of T1 − T2.

I Refoliation symmetry at the quantum level in thepresence of topology change!

I Can we better understand this symmetry at thediscrete level?

I For simplicity set the boundarylengths to zero.Straightforward generalization to finite boundaries.

Page 64: CDT & Trees

Two loop identity in generalized CDT

I Consider surfaces with two boundaries separatedby a geodesic distance D.

I One can assign time T1, T2 to the boundaries(|T1 − T2| ≤ D) and study a “merging” process.

I For a given surface the foliation depends onT1 − T2, hence also Nmax and its weight.

I However, in [ALWZ ’07] it was shown that theamplitude is independent of T1 − T2.

I Refoliation symmetry at the quantum level in thepresence of topology change!

I Can we better understand this symmetry at thediscrete level?

I For simplicity set the boundarylengths to zero.Straightforward generalization to finite boundaries.

Page 65: CDT & Trees

Two loop identity in generalized CDT

I Consider surfaces with two boundaries separatedby a geodesic distance D.

I One can assign time T1, T2 to the boundaries(|T1 − T2| ≤ D) and study a “merging” process.

I For a given surface the foliation depends onT1 − T2, hence also Nmax and its weight.

I However, in [ALWZ ’07] it was shown that theamplitude is independent of T1 − T2.

I Refoliation symmetry at the quantum level in thepresence of topology change!

I Can we better understand this symmetry at thediscrete level?

I For simplicity set the boundarylengths to zero.Straightforward generalization to finite boundaries.

Page 66: CDT & Trees

Two loop identity in generalized CDT

I Consider surfaces with two boundaries separatedby a geodesic distance D.

I One can assign time T1, T2 to the boundaries(|T1 − T2| ≤ D) and study a “merging” process.

I For a given surface the foliation depends onT1 − T2, hence also Nmax and its weight.

I However, in [ALWZ ’07] it was shown that theamplitude is independent of T1 − T2.

I Refoliation symmetry at the quantum level in thepresence of topology change!

I Can we better understand this symmetry at thediscrete level?

I For simplicity set the boundarylengths to zero.Straightforward generalization to finite boundaries.

Page 67: CDT & Trees

Two loop identity in generalized CDT

I Consider surfaces with two boundaries separatedby a geodesic distance D.

I One can assign time T1, T2 to the boundaries(|T1 − T2| ≤ D) and study a “merging” process.

I For a given surface the foliation depends onT1 − T2, hence also Nmax and its weight.

I However, in [ALWZ ’07] it was shown that theamplitude is independent of T1 − T2.

I Refoliation symmetry at the quantum level in thepresence of topology change!

I Can we better understand this symmetry at thediscrete level?

I For simplicity set the boundarylengths to zero.Straightforward generalization to finite boundaries.

Page 68: CDT & Trees

Two loop identity in generalized CDT

I Consider surfaces with two boundaries separatedby a geodesic distance D.

I One can assign time T1, T2 to the boundaries(|T1 − T2| ≤ D) and study a “merging” process.

I For a given surface the foliation depends onT1 − T2, hence also Nmax and its weight.

I However, in [ALWZ ’07] it was shown that theamplitude is independent of T1 − T2.

I Refoliation symmetry at the quantum level in thepresence of topology change!

I Can we better understand this symmetry at thediscrete level?

I For simplicity set the boundarylengths to zero.Straightforward generalization to finite boundaries.

Page 69: CDT & Trees

Two loop identity in generalized CDT

I Consider surfaces with two boundaries separatedby a geodesic distance D.

I One can assign time T1, T2 to the boundaries(|T1 − T2| ≤ D) and study a “merging” process.

I For a given surface the foliation depends onT1 − T2, hence also Nmax and its weight.

I However, in [ALWZ ’07] it was shown that theamplitude is independent of T1 − T2.

I Refoliation symmetry at the quantum level in thepresence of topology change!

I Can we better understand this symmetry at thediscrete level?

I For simplicity set the boundarylengths to zero.Straightforward generalization to finite boundaries.

Page 70: CDT & Trees

t t

t + 1

t - 1

t t

t + 1

t + 1

T1 = 0T2 = 0D = 4

I No local minima ⇒ the labeling is canonical!

I There exists a bijection preserving the number of local maxima:{ }T1,T2

←→

{0

0

}T1,T2

←→

{0

2

}T ′

1 ,T′2

←→

{ }T ′

1 ,T′2

Page 71: CDT & Trees

t t

t + 1

t - 1

t t

t + 1

t + 1

T1 = 0T2 = 0D = 4

I No local minima ⇒ the labeling is canonical!

I There exists a bijection preserving the number of local maxima:{ }T1,T2

←→

{0

0

}T1,T2

←→

{0

2

}T ′

1 ,T′2

←→

{ }T ′

1 ,T′2

Page 72: CDT & Trees

t t

t + 1

t - 1

t t

t + 1

t + 1

T1 = 0T2 = 0D = 4

I No local minima ⇒ the labeling is canonical!

I There exists a bijection preserving the number of local maxima:{ }T1,T2

←→

{0

0

}T1,T2

←→

{0

2

}T ′

1 ,T′2

←→

{ }T ′

1 ,T′2

Page 73: CDT & Trees

t t

t + 1

t - 1

t t

t + 1

t + 1

T1 = 0T2 = 0D = 4

I No local minima ⇒ the labeling is canonical!

I There exists a bijection preserving the number of local maxima:{ }T1,T2

←→

{0

0

}T1,T2

←→

{0

2

}T ′

1 ,T′2

←→

{ }T ′

1 ,T′2

Page 74: CDT & Trees

t t

t + 1

t - 1

t t

t + 1

t + 1

T1 = 0T2 = 0D = 4

I No local minima ⇒ the labeling is canonical!

I There exists a bijection preserving the number of local maxima:{ }T1,T2

←→

{0

0

}T1,T2

←→

{0

2

}T ′

1 ,T′2

←→

{ }T ′

1 ,T′2

Page 75: CDT & Trees

8

7

7

7

7

9

9

7

6

8

8

68

6

6

6

8

6

8

8

5

5

7

55

7

5

7

7

5

7

5

5

75

7

5

7

6

6

6

4

6

4

44

46

4

4

4

6

4 4

6

4

6

6

6

3

5

3

55

5

5

5

3

3

5

3

5

5

5

3

3

5

3

5

3

3

4

2

6

2

2

4

4

44

22

4

2

4

2

44

44 4

4

2

1

1

33

5

5

3

3

5

3

1

3

3

3

3

5

53

3

3

4

0

2

4

24

2

2

2

4

4

4

2

2

4

2

4

2

3

3

3

1

3

3

1

1

3

1

3

3

3

3

0

2

2

2

22

2

2

1

t t

t + 1

t - 1

t t

t + 1

t + 1

T1 = 0T2 = 0D = 4

I No local minima ⇒ the labeling is canonical!

I There exists a bijection preserving the number of local maxima:{ }T1,T2

←→

{0

0

}T1,T2

←→

{0

2

}T ′

1 ,T′2

←→

{ }T ′

1 ,T′2

Page 76: CDT & Trees

8

7

7

7

7

7

6

8

68

6

6

6

6

8

5

5

7

55

7

5

7

7

5

7

5

5

75

7

5

7

6

6

6

4

6

4

44

46

4

4

4

6

4 4

6

4

6

6

6

3

5

3

55

5

5

5

3

3

5

3

5

5

5

3

3

5

3

5

3

3

4

2

2

2

44

22

4

2

4

2

44

44 4

4

2

1

1

33

5

5

3

3

3

1

3

3

3

3

5

53

3

3

4

0

2

24

2

2

2

4

4

4

2

2

2

2

3

3

3

1

3

1

1

3

1

3

3

0

2

2

2

2

2

2

1

t t

t + 1

t - 1

t t

t + 1

t + 1

T1 = 0T2 = 0D = 4

I No local minima ⇒ the labeling is canonical!

I There exists a bijection preserving the number of local maxima:{ }T1,T2

←→

{0

0

}T1,T2

←→

{0

2

}T ′

1 ,T′2

←→

{ }T ′

1 ,T′2

Page 77: CDT & Trees

0

0

t t

t + 1

t - 1

t t

t + 1

t + 1

T1 = 0T2 = 0D = 4

I No local minima ⇒ the labeling is canonical!

I There exists a bijection preserving the number of local maxima:{ }T1,T2

←→

{0

0

}T1,T2

←→

{0

2

}T ′

1 ,T′2

←→

{ }T ′

1 ,T′2

Page 78: CDT & Trees

0

2

t t

t + 1

t - 1

t t

t + 1

t + 1

T1 = 0T2 = 2D = 4

I No local minima ⇒ the labeling is canonical!

I There exists a bijection preserving the number of local maxima:{ }T1,T2

←→

{0

0

}T1,T2

←→

{0

2

}T ′

1 ,T′2

←→

{ }T ′

1 ,T′2

Page 79: CDT & Trees

8

7

7

7

7

7

6

9

69

6

6

6

6

8

5

5

7

55

8

5

8

9

5

7

5

5

75

8

5

9

7

8

8

4

6

4

44

48

4

4

4

8

4 4

7

4

8

8

8

3

7

3

77

7

7

7

3

3

7

3

5

6

7

3

3

7

3

7

3

3

6

2

2

2

66

22

4

2

6

2

66

66 6

6

2

1

1

55

7

5

5

3

4

1

5

5

5

4

6

75

5

3

4

0

2

46

4

2

3

5

6

6

4

2

4

2

5

5

3

3

3

3

3

5

1

5

4

2

4

4

2

4

4

4

3

t t

t + 1

t - 1

t t

t + 1

t + 1

T1 = 0T2 = 2D = 4

I No local minima ⇒ the labeling is canonical!

I There exists a bijection preserving the number of local maxima:{ }T1,T2

←→

{0

0

}T1,T2

←→

{0

2

}T ′

1 ,T′2

←→

{ }T ′

1 ,T′2

Page 80: CDT & Trees

Conclusions & Outlook

I ConlusionsI The Cori–Vauquelin–Schaeffer bijection encodes 2d geometry in

trees, which are simple objects from an analytical point of view.I The bijection is ideal for studying “proper-time foliations” of random

surfaces.I In the setting of generalized CDT, the bijection exposes symmetries

in certain amplitudes with prescibed time on the boundaries.

I What I’ve not shown (see our forthcoming paper)I Similar bijections exist for triangulations, but more involved.I Explicit expressions can be derived for transition amplitudes

G(L1, L2;T ) in generalized CDT.

I OutlookI What is the exact structure of these symmetries? Related to

conformal symmetry (Virasoro algebra)?I Straightforward extension to higher genus. Sum over topologies in

non-critical string theory?

Page 81: CDT & Trees

Conclusions & Outlook

I ConlusionsI The Cori–Vauquelin–Schaeffer bijection encodes 2d geometry in

trees, which are simple objects from an analytical point of view.I The bijection is ideal for studying “proper-time foliations” of random

surfaces.I In the setting of generalized CDT, the bijection exposes symmetries

in certain amplitudes with prescibed time on the boundaries.

I What I’ve not shown (see our forthcoming paper)I Similar bijections exist for triangulations, but more involved.I Explicit expressions can be derived for transition amplitudes

G(L1, L2;T ) in generalized CDT.

I OutlookI What is the exact structure of these symmetries? Related to

conformal symmetry (Virasoro algebra)?I Straightforward extension to higher genus. Sum over topologies in

non-critical string theory?

Page 82: CDT & Trees

Conclusions & Outlook

I ConlusionsI The Cori–Vauquelin–Schaeffer bijection encodes 2d geometry in

trees, which are simple objects from an analytical point of view.I The bijection is ideal for studying “proper-time foliations” of random

surfaces.I In the setting of generalized CDT, the bijection exposes symmetries

in certain amplitudes with prescibed time on the boundaries.

I What I’ve not shown (see our forthcoming paper)I Similar bijections exist for triangulations, but more involved.I Explicit expressions can be derived for transition amplitudes

G(L1, L2;T ) in generalized CDT.

I OutlookI What is the exact structure of these symmetries? Related to

conformal symmetry (Virasoro algebra)?I Straightforward extension to higher genus. Sum over topologies in

non-critical string theory?

Page 83: CDT & Trees

Merry Christmas!

Page 84: CDT & Trees

Appendix: canonical labeling

0

2

Page 85: CDT & Trees

Appendix: canonical labeling

1

11

0

1

2

Page 86: CDT & Trees

Appendix: canonical labeling

2

2

2

22

2

2

2

1

11

0

2

2

2

21

2

2

Page 87: CDT & Trees

Appendix: canonical labeling

3

3

3

3

3

3

3

3

3

3

2

2

2

22

2

2

2

1

1

3

1

3

0

2

2

3

2

23

3

3

3

3

1

2

2

3

Page 88: CDT & Trees

Appendix: canonical labeling

4

4

44

4

4

4

4

4 4

4

3

3

3

3

3

3

3

3

3

3

2

2

2

22

4

2

2

2

1

1

3

4

1

43

4

0

2

4

4

2

3

4

2

4

23

3

3

3

3

1 4

2

4

4

2

4

4

4

3

Page 89: CDT & Trees

Appendix: canonical labeling

5

5

55

5

5

5

5

5

5

4

4

44

4

4

4

4

4 4

4

3

3

3

3

3

5

3

3

3

3

3

2

2

2

22

4

2

2

2

1

1

55

5

5

3

4

1

5

5

5

4

5

5

3

4

0

2

4

4

2

3

5

4

2

4

2

5

5

3

3

3

3

3

5

1

5

4

2

4

4

2

4

4

4

3

Page 90: CDT & Trees

Appendix: canonical labeling

6

6

6

6

6

6

5

5

55

5

5

5

5

5

5

4

6

4

44

4

4

4

4

4 4

4

3

3

3

3

3

5

6

3

3

3

3

3

6

2

2

2

66

22

4

2

6

2

66

66 6

6

2

1

1

55

5

5

3

4

1

5

5

5

4

65

5

3

4

0

2

46

4

2

3

5

6

6

4

2

4

2

5

5

3

3

3

3

3

5

1

5

4

2

4

4

2

4

4

4

3

Page 91: CDT & Trees

Appendix: canonical labeling

7

7

7

7

7

6

6

6

6

6

6

5

5

7

55

5

5

7

5

5

75

5

7

4

6

4

44

4

4

4

4

4 4

7

4

3

7

3

77

7

7

7

3

3

7

3

5

6

7

3

3

7

3

7

3

3

6

2

2

2

66

22

4

2

6

2

66

66 6

6

2

1

1

55

7

5

5

3

4

1

5

5

5

4

6

75

5

3

4

0

2

46

4

2

3

5

6

6

4

2

4

2

5

5

3

3

3

3

3

5

1

5

4

2

4

4

2

4

4

4

3

Page 92: CDT & Trees

Appendix: canonical labeling

8

7

7

7

7

7

6

6

6

6

6

6

8

5

5

7

55

8

5

8

5

7

5

5

75

8

5

7

8

8

4

6

4

44

48

4

4

4

8

4 4

7

4

8

8

8

3

7

3

77

7

7

7

3

3

7

3

5

6

7

3

3

7

3

7

3

3

6

2

2

2

66

22

4

2

6

2

66

66 6

6

2

1

1

55

7

5

5

3

4

1

5

5

5

4

6

75

5

3

4

0

2

46

4

2

3

5

6

6

4

2

4

2

5

5

3

3

3

3

3

5

1

5

4

2

4

4

2

4

4

4

3

Page 93: CDT & Trees

Appendix: canonical labeling

8

7

7

7

7

7

6

9

69

6

6

6

6

8

5

5

7

55

8

5

8

9

5

7

5

5

75

8

5

9

7

8

8

4

6

4

44

48

4

4

4

8

4 4

7

4

8

8

8

3

7

3

77

7

7

7

3

3

7

3

5

6

7

3

3

7

3

7

3

3

6

2

2

2

66

22

4

2

6

2

66

66 6

6

2

1

1

55

7

5

5

3

4

1

5

5

5

4

6

75

5

3

4

0

2

46

4

2

3

5

6

6

4

2

4

2

5

5

3

3

3

3

3

5

1

5

4

2

4

4

2

4

4

4

3