The document summarizes a talk on generalized causal dynamical triangulations (CDT) in two dimensions. It introduces the generalized CDT model, which allows spatial topology to change in time. It describes how generalized CDT can be solved by viewing causal quadrangulations as labeled trees. It also discusses bijections between labeled quadrangulations and labeled planar maps via Schaeffer's algorithm, which allow counting the numbers of objects in the generalized CDT model.
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Generalized causal dynamical triangulations (generalized CDT) is a model of two-dimensional quantum gravity in which a limited number of spatial topology changes is allowed to occur. After identifying the model as a scaling limit of random quadrangulations, I will show how it can be solved using a bijection between quadrangulations and trees. Another bijection relating quadrangulations to planar maps allows us to interpret generalized CDT as a scaling limit or random planar maps with a restriction on the number of faces. Finally I will show how this interpretation clarifies certain mysterious identities in generalized CDT amplitudes. (This talk is largely based on arXiv:1302.1763.)
On maximal and variational Fourier restrictionVjekoslavKovac1
Workshop talk slides, Follow-up workshop to trimester program "Harmonic Analysis and Partial Differential Equations", Hausdorff Institute, Bonn, May 2019.
QMC algorithms usually rely on a choice of “N” evenly distributed integration nodes in $[0,1)^d$. A common means to assess such an equidistributional property for a point set or sequence is the so-called discrepancy function, which compares the actual number of points to the expected number of points (assuming uniform distribution on $[0,1)^{d}$) that lie within an arbitrary axis parallel rectangle anchored at the origin. The dependence of the integration error using QMC rules on various norms of the discrepancy function is made precise within the well-known Koksma--Hlawka inequality and its variations. In many cases, such as $L^{p}$ spaces, $1<p<\infty$, the best growth rate in terms of the number of points “N” as well as corresponding explicit constructions are known. In the classical setting $p=\infty$ sharp results are absent for $d\geq3$ already and appear to be intriguingly hard to obtain. This talk shall serve as a survey on discrepancy theory with a special emphasis on the $L^{\infty}$ setting. Furthermore, it highlights the evolution of recent techniques and presents the latest results.
On Twisted Paraproducts and some other Multilinear Singular IntegralsVjekoslavKovac1
Presentation.
9th International Conference on Harmonic Analysis and Partial Differential Equations, El Escorial, June 12, 2012.
The 24th International Conference on Operator Theory, Timisoara, July 3, 2012.
Computational Information Geometry: A quick review (ICMS)Frank Nielsen
From the workshop
Computational information geometry for image and signal processing
Sep 21, 2015 - Sep 25, 2015
ICMS, 15 South College Street, Edinburgh
http://www.icms.org.uk/workshop.php?id=343
Classification with mixtures of curved Mahalanobis metricsFrank Nielsen
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Slide 4, there is a typo, replace absolute value by parenthesis. The cross-ratio can be negative and we use the principal complex logarithm
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Generalized causal dynamical triangulations (generalized CDT) is a model of two-dimensional quantum gravity in which a limited number of spatial topology changes is allowed to occur. After identifying the model as a scaling limit of random quadrangulations, I will show how it can be solved using a bijection between quadrangulations and trees. Another bijection relating quadrangulations to planar maps allows us to interpret generalized CDT as a scaling limit or random planar maps with a restriction on the number of faces. Finally I will show how this interpretation clarifies certain mysterious identities in generalized CDT amplitudes. (This talk is largely based on arXiv:1302.1763.)
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From planar maps to spatial topology change in 2d gravity
1. Journ´ees Cartes,
Jun. 20, 2013
From planar maps to
spatial topology change in 2d gravity
Timothy Budd
(joint work with J. Ambjørn)
Niels Bohr Institute, Copenhagen.
budd@nbi.dk
http://www.nbi.dk/~budd/
2. Outline
Introduction to the (generalized) CDT model of 2d gravity
Bijection between labeled quadrangulations and labeled planar maps
Generalized CDT solved in terms of labeled trees
Two-point functions
Bijection between pointed quadrangulations and pointed planar maps
Loop identity of generalized CDT
3. Causal Dynamical Triangulations (CDT) [Ambjørn, Loll, ’98]
CDT in 2d is a statistical system with partition function
ZCDT =
T
1
CT
gN(T )
ZCDT (g) is a generating function for the number of causal
triangulations T of S2
with N triangles.
4. Causal Dynamical Triangulations (CDT) [Ambjørn, Loll, ’98]
CDT in 2d is a statistical system with partition function
ZCDT =
T
1
CT
gN(T )
ZCDT (g) is a generating function for the number of causal
triangulations T of S2
with N triangles.
The triangulations have a foliated
structure
t
5. Causal Dynamical Triangulations (CDT) [Ambjørn, Loll, ’98]
CDT in 2d is a statistical system with partition function
ZCDT =
T
1
CT
gN(T )
ZCDT (g) is a generating function for the number of causal
triangulations T of S2
with N triangles.
The triangulations have a foliated
structure
May as well view them as causal
quadrangulations with a unique
local maximum of the distance
function from the origin.
t
6. Causal Dynamical Triangulations (CDT) [Ambjørn, Loll, ’98]
CDT in 2d is a statistical system with partition function
ZCDT =
T
1
CT
gN(T )
ZCDT (g) is a generating function for the number of causal
triangulations T of S2
with N triangles.
The triangulations have a foliated
structure
May as well view them as causal
quadrangulations with a unique
local maximum of the distance
function from the origin.
What if we allow more than one
local maximum?
t
8. Generalized CDT
Allow spatial topology to change in time.
Assign a coupling gs to each baby universe.
The model was solved in the continuum by
gluing together chunks of CDT. [Ambjørn,
Loll, Westra, Zohren ’07]
9. Generalized CDT
Allow spatial topology to change in time.
Assign a coupling gs to each baby universe.
The model was solved in the continuum by
gluing together chunks of CDT. [Ambjørn,
Loll, Westra, Zohren ’07]
Can we understand the geometry in more
detail by obtaining generalized CDT as a
scaling limit of a discrete model?
10. Generalized CDT
Allow spatial topology to change in time.
Assign a coupling gs to each baby universe.
The model was solved in the continuum by
gluing together chunks of CDT. [Ambjørn,
Loll, Westra, Zohren ’07]
Can we understand the geometry in more
detail by obtaining generalized CDT as a
scaling limit of a discrete model?
Generalized CDT partition function
Z(g, g) =
Q
1
CQ
gN
gNmax
,
sum over quadrangulations Q with
N faces, a marked origin, and Nmax
local maxima of the distance to the
origin.
11. Generalized CDT
Allow spatial topology to change in time.
Assign a coupling gs to each baby universe.
The model was solved in the continuum by
gluing together chunks of CDT. [Ambjørn,
Loll, Westra, Zohren ’07]
Can we understand the geometry in more
detail by obtaining generalized CDT as a
scaling limit of a discrete model?
Generalized CDT partition function
Z(g, g) =
Q
1
CQ
gN
gNmax
,
sum over quadrangulations Q with
N faces, a marked origin, and Nmax
local maxima of the distance to the
origin.
−→
20. Causal triangulations and trees
Union of all left-most geodesics
running away from the origin.
Simple enumeration of planar trees:
#
N
= C(N), C(N) =
1
N + 1
2N
N
[Malyshev, Yambartsev, Zamyatin ’01]
[Krikun, Yambartsev ’08]
[Durhuus, Jonsson, Wheater ’09]
21. Causal triangulations and trees
Union of all left-most geodesics
running away from the origin.
Simple enumeration of planar trees:
#
N
= C(N), C(N) =
1
N + 1
2N
N
[Malyshev, Yambartsev, Zamyatin ’01]
[Krikun, Yambartsev ’08]
[Durhuus, Jonsson, Wheater ’09]
Union of all left-most geodesics
running towards the origin.
22. Causal triangulations and trees
Union of all left-most geodesics
running away from the origin.
Simple enumeration of planar trees:
#
N
= C(N), C(N) =
1
N + 1
2N
N
[Malyshev, Yambartsev, Zamyatin ’01]
[Krikun, Yambartsev ’08]
[Durhuus, Jonsson, Wheater ’09]
Union of all left-most geodesics
running towards the origin.
Both generalize to generalized CDT
leading to different representations.
28. Labeled quadrangulations
Q(l)
= {quadrangulations Q with labels : {v} → Z, s.t. | (v1) − (v2)| = 1}
M(l)
= {planar maps M with labels : {v} → Z, s.t. | (v1) − (v2)| = 0, 1}
Schaeffer’s rules define a map Ψ : Q(l)
→ M(l)
:
t t
t +1
t - 1
t t
t +1
t +1
29. Labeled quadrangulations
Q(l)
= {quadrangulations Q with labels : {v} → Z, s.t. | (v1) − (v2)| = 1}
M(l)
= {planar maps M with labels : {v} → Z, s.t. | (v1) − (v2)| = 0, 1}
Schaeffer’s rules define a map Ψ : Q(l)
→ M(l)
:
t t
t +1
t - 1
t t
t +1
t +1
30. Labeled quadrangulations
Q(l)
= {quadrangulations Q with labels : {v} → Z, s.t. | (v1) − (v2)| = 1}
M(l)
= {planar maps M with labels : {v} → Z, s.t. | (v1) − (v2)| = 0, 1}
Schaeffer’s rules define a map Ψ : Q(l)
→ M(l)
:
t t
t +1
t - 1
t t
t +1
t +1
31. Labeled quadrangulations
Q(l)
= {quadrangulations Q with labels : {v} → Z, s.t. | (v1) − (v2)| = 1}
M(l)
= {planar maps M with labels : {v} → Z, s.t. | (v1) − (v2)| = 0, 1}
Schaeffer’s rules define a map Ψ : Q(l)
→ M(l)
:
t t
t +1
t - 1
t t
t +1
t +1
32. Labeled quadrangulations
Q(l)
= {quadrangulations Q with labels : {v} → Z, s.t. | (v1) − (v2)| = 1}
M(l)
= {planar maps M with labels : {v} → Z, s.t. | (v1) − (v2)| = 0, 1}
Schaeffer’s rules define a map Ψ : Q(l)
→ M(l)
:
t t
t +1
t - 1
t t
t +1
t +1
33. Labeled quadrangulations
Q(l)
= {quadrangulations Q with labels : {v} → Z, s.t. | (v1) − (v2)| = 1}
M(l)
= {planar maps M with labels : {v} → Z, s.t. | (v1) − (v2)| = 0, 1}
Schaeffer’s rules define a map Ψ : Q(l)
→ M(l)
:
t t
t +1
t - 1
t t
t +1
t +1
34. Labeled quadrangulations
Q(l)
= {quadrangulations Q with labels : {v} → Z, s.t. | (v1) − (v2)| = 1}
M(l)
= {planar maps M with labels : {v} → Z, s.t. | (v1) − (v2)| = 0, 1}
Schaeffer’s rules define a map Ψ : Q(l)
→ M(l)
:
t t
t +1
t - 1
t t
t +1
t +1
35. Labeled quadrangulations
Q(l)
= {quadrangulations Q with labels : {v} → Z, s.t. | (v1) − (v2)| = 1}
M(l)
= {planar maps M with labels : {v} → Z, s.t. | (v1) − (v2)| = 0, 1}
Schaeffer’s rules define a map Ψ : Q(l)
→ M(l)
:
t t
t +1
t - 1
t t
t +1
t +1
36. Labeled quadrangulations
Q(l)
= {quadrangulations Q with labels : {v} → Z, s.t. | (v1) − (v2)| = 1}
M(l)
= {planar maps M with labels : {v} → Z, s.t. | (v1) − (v2)| = 0, 1}
Schaeffer’s rules define a map Ψ : Q(l)
→ M(l)
:
t t
t +1
t - 1
t t
t +1
t +1
37. Labeled quadrangulations
Q(l)
= {quadrangulations Q
rooted on an edge
with labels : {v} → Z, s.t. | (v1) − (v2)| = 1}
M(l)
= {planar maps M with labels : {v} → Z, s.t. | (v1) − (v2)| = 0, 1}
Schaeffer’s rules define a map Ψ : Q(l)
→ M(l)
:
t t
t +1
t - 1
t t
t +1
t +1
38. Labeled quadrangulations
Q(l)
= {quadrangulations Q
rooted on an edge
with labels : {v} → Z, s.t. | (v1) − (v2)| = 1}
M(l)
= {planar maps M with labels : {v} → Z, s.t. | (v1) − (v2)| = 0, 1}
Schaeffer’s rules define a map Ψ : Q(l)
→ M(l)
:
t t
t +1
t - 1
t t
t +1
t +1
39. Labeled quadrangulations
Q(l)
= {quadrangulations Q
rooted on an edge
with labels : {v} → Z, s.t. | (v1) − (v2)| = 1}
M(l)
= {planar maps M w
rooted on a corner
ith labels : {v} → Z, s.t. | (v1) − (v2)| = 0, 1}
Schaeffer’s rules define a map Ψ : Q(l)
→ M(l)
:
t t
t +1
t - 1
t t
t +1
t +1
40. Labeled quadrangulations
Q(l)
= {quadrangulations Q
rooted on an edge
with labels : {v} → Z, s.t. | (v1) − (v2)| = 1}
M(l)
= {planar maps M w
rooted on a corner
ith labels : {v} → Z, s.t. | (v1) − (v2)| = 0, 1}
Schaeffer’s rules define a map Ψ : Q(l)
→ M(l)
:
→
41. Theorem 1 [Schaeffer, Miermont,...][Ambjørn, TB]
The map Ψ : Q(l)
→ M(l)
is a bijection satisfying
#{faces of Q} = #{edges of Ψ(Q)}
#{local minima of Q} = #{faces of Ψ(Q)}
#{local maxima of Q} = #{local maxima of Ψ(Q)}
Max label on root edge of Q = label on root of Ψ(Q)
Minimal label on Q = minimal label on Ψ(Q) minus 1
Maximal label on Q = maximal label on Ψ(Q)
t t
t +1
t - 1
t t
t +1
t +1
42. Theorem 1 [Schaeffer, Miermont,...][Ambjørn, TB]
The map Ψ : Q(l)
→ M(l)
is a bijection satisfying
#{faces of Q} = #{edges of Ψ(Q)}
#{local minima of Q} = #{faces of Ψ(Q)}
#{local maxima of Q} = #{local maxima of Ψ(Q)}
Max label on root edge of Q = label on root of Ψ(Q)
Minimal label on Q = minimal label on Ψ(Q) minus 1
Maximal label on Q = maximal label on Ψ(Q)
t t
t +1
t - 1
t t
t +1
t +1
43. Theorem 1 [Schaeffer, Miermont,...][Ambjørn, TB]
The map Ψ : Q(l)
→ M(l)
is a bijection satisfying
#{faces of Q} = #{edges of Ψ(Q)}
#{local minima of Q} = #{faces of Ψ(Q)}
#{local maxima of Q} = #{local maxima of Ψ(Q)}
Max label on root edge of Q = label on root of Ψ(Q)
Minimal label on Q = minimal label on Ψ(Q) minus 1
Maximal label on Q = maximal label on Ψ(Q)
t t
t +1
t - 1
t t
t +1
t +1
44. Theorem 1 [Schaeffer, Miermont,...][Ambjørn, TB]
The map Ψ : Q(l)
→ M(l)
is a bijection satisfying
#{faces of Q} = #{edges of Ψ(Q)}
#{local minima of Q} = #{faces of Ψ(Q)}
#{local maxima of Q} = #{local maxima of Ψ(Q)}
Max label on root edge of Q = label on root of Ψ(Q)
Minimal label on Q = minimal label on Ψ(Q) minus 1
Maximal label on Q = maximal label on Ψ(Q)
t t
t +1
t - 1
t t
t +1
t +1
45. Theorem 1 [Schaeffer, Miermont,...][Ambjørn, TB]
The map Ψ : Q(l)
→ M(l)
is a bijection satisfying
#{faces of Q} = #{edges of Ψ(Q)}
#{local minima of Q} = #{faces of Ψ(Q)}
#{local maxima of Q} = #{local maxima of Ψ(Q)}
Max label on root edge of Q = label on root of Ψ(Q)
Minimal label on Q = minimal label on Ψ(Q) minus 1
Maximal label on Q = maximal label on Ψ(Q)
t t
t +1
t - 1
t t
t +1
t +1
46. Theorem 1 [Schaeffer, Miermont,...][Ambjørn, TB]
The map Ψ : Q(l)
→ M(l)
is a bijection satisfying
#{faces of Q} = #{edges of Ψ(Q)}
#{local minima of Q} = #{faces of Ψ(Q)}
#{local maxima of Q} = #{local maxima of Ψ(Q)}
Max label on root edge of Q = label on root of Ψ(Q)
Minimal label on Q = minimal label on Ψ(Q) minus 1
Maximal label on Q = maximal label on Ψ(Q)
t t
t +1
t - 1
t t
t +1
t +1
47. Theorem 1 [Schaeffer, Miermont,...][Ambjørn, TB]
The map Ψ : Q(l)
→ M(l)
is a bijection satisfying
#{faces of Q} = #{edges of Ψ(Q)}
#{local minima of Q} = #{faces of Ψ(Q)}
#{local maxima of Q} = #{local maxima of Ψ(Q)}
Max label on root edge of Q = label on root of Ψ(Q)
Minimal label on Q = minimal label on Ψ(Q) minus 1
Maximal label on Q = maximal label on Ψ(Q)
t t
t +1
t - 1
t t
t +1
t +1
48. Theorem 1 [Schaeffer, Miermont,...][Ambjørn, TB]
The map Ψ : Q(l)
→ M(l)
is a bijection satisfying
#{faces of Q} = #{edges of Ψ(Q)}
#{local minima of Q} = #{faces of Ψ(Q)}
#{local maxima of Q} = #{local maxima of Ψ(Q)}
Max label on root edge of Q = label on root of Ψ(Q)
Minimal label on Q = minimal label on Ψ(Q) minus 1
Maximal label on Q = maximal label on Ψ(Q)
t t
t +1
t - 1
t t
t +1
t +1
49. Theorem 1 [Schaeffer, Miermont,...][Ambjørn, TB]
The map Ψ : Q(l)
→ M(l)
is a bijection satisfying
#{faces of Q} = #{edges of Ψ(Q)}
#{local minima of Q} = #{faces of Ψ(Q)}
#{local maxima of Q} = #{local maxima of Ψ(Q)}
Max label on root edge of Q = label on root of Ψ(Q)
Minimal label on Q = minimal label on Ψ(Q) minus 1
Maximal label on Q = maximal label on Ψ(Q)
t t
t +1
t - 1
t t
t +1
t +1
50. Theorem 1 [Schaeffer, Miermont,...][Ambjørn, TB]
The map Ψ : Q(l)
→ M(l)
is a bijection satisfying
#{faces of Q} = #{edges of Ψ(Q)}
#{local minima of Q} = #{faces of Ψ(Q)}
#{local maxima of Q} = #{local maxima of Ψ(Q)}
Max label on root edge of Q = label on root of Ψ(Q)
Minimal label on Q = minimal label on Ψ(Q) minus 1
Maximal label on Q = maximal label on Ψ(Q)
t t
t +1
t - 1
t t
t +1
t +1
Theorem 1−
The map Ψ− : Q(l)
→ M(l)
is a bijection satisfying
#{faces of Q} = #{edges of Ψ(Q)}
#{local maxima of Q} = #{faces of Ψ(Q)}
#{local minima of Q} = #{local minima of Ψ(Q)}
Min label on root edge of Q = label on root of Ψ(Q)
Maximal label on Q = maximal label on Ψ(Q) plus 1
Minimal label on Q = minimal label on Ψ(Q)
t t
t +1
t - 1
t t
t +1
t +1
52. Cori–Vauquelin–Schaeffer bijection [Cori, Vauquelin, ’81][Schaeffer, ’98]
Restrict to Q with single local minimum and minimal label 0.
Labeling on Q is a distance to a distinguished vertex.
53. Cori–Vauquelin–Schaeffer bijection [Cori, Vauquelin, ’81][Schaeffer, ’98]
Restrict to Q with single local minimum and minimal label 0.
Labeling on Q is a distance to a distinguished vertex.
Bijection between rooted pointed quadrangulations and rooted
labeled trees with minimal label 1.
54. Cori–Vauquelin–Schaeffer bijection [Cori, Vauquelin, ’81][Schaeffer, ’98]
Restrict to Q with single local minimum and minimal label 0.
Labeling on Q is a distance to a distinguished vertex.
Bijection between rooted pointed quadrangulations and rooted
labeled trees with minimal label 1.
55. Cori–Vauquelin–Schaeffer bijection [Cori, Vauquelin, ’81][Schaeffer, ’98]
Restrict to Q with single local minimum and minimal label 0.
Labeling on Q is a distance to a distinguished vertex.
Bijection between rooted pointed quadrangulations and rooted
labeled trees with minimal label 1.
56. Cori–Vauquelin–Schaeffer bijection [Cori, Vauquelin, ’81][Schaeffer, ’98]
Restrict to Q with single local minimum and minimal label 0.
Labeling on Q is a distance to a distinguished vertex.
Bijection between rooted pointed quadrangulations and rooted
labeled trees with minimal label 1.
57. Assigning couplings to local maxima
Assign coupling g to the local maxima of the
distance function.
58. Assigning couplings to local maxima
Assign coupling g to the local maxima of the
distance function.
In terms of labeled trees:
5 4
44
4
4 4
5
3
3
5
5
59. Assigning couplings to local maxima
Assign coupling g to the local maxima of the
distance function.
In terms of labeled trees:
5 4
44
4
4 4
5
3
3
5
5
60. Assigning couplings to local maxima
Assign coupling g to the local maxima of the
distance function.
In terms of labeled trees:
5 4
4
5
5
5
61. Assigning couplings to local maxima
Assign coupling g to the local maxima of the
distance function.
In terms of labeled trees:
0
0
0
0
0
62. Assigning couplings to local maxima
Assign coupling g to the local maxima of the
distance function.
In terms of labeled trees:
0
0
0
0
0
Generating function z0(g, g) for number of rooted labeled trees with
N edges and Nmax local maxima.
Similarly z1(g, g) but local maximum at the root not counted.
63. Assigning couplings to local maxima
Assign coupling g to the local maxima of the
distance function.
In terms of labeled trees:
0
0
0
0
0
Generating function z0(g, g) for number of rooted labeled trees with
N edges and Nmax local maxima.
Similarly z1(g, g) but local maximum at the root not counted.
Satisfy recursion relations:
z1 =
∞
k=0
(z1 + z0 + z0)
k
gk
= (1 − gz1 − 2gz0)
−1
z0 =
∞
k=0
(z1 + z0 + z0)
k
gk
+ (g − 1)
∞
k=0
(z1 + z0)
k
gk
= z1 + (g − 1) (1 − gz1 − gz0)
−1
65. z1 = (1 − gz1 − 2gz0)
−1
z0 = z1 + (g − 1) (1 − gz1 − gz0)
−1
Combine into one equation for z1(g, g):
3g2
z4
1 − 4gz3
1 + (1 + 2g(1 − 2g))z2
1 − 1 = 0
Phase diagram for weighted labeled trees (constant g):
g = 0g = 1
66. z1 = (1 − gz1 − 2gz0)
−1
z0 = z1 + (g − 1) (1 − gz1 − gz0)
−1
Combine into one equation for z1(g, g):
3g2
z4
1 − 4gz3
1 + (1 + 2g(1 − 2g))z2
1 − 1 = 0
Phase diagram for weighted labeled trees (constant g):
g = 0g = 1
67. z1 = (1 − gz1 − 2gz0)
−1
z0 = z1 + (g − 1) (1 − gz1 − gz0)
−1
Combine into one equation for z1(g, g):
3g2
z4
1 − 4gz3
1 + (1 + 2g(1 − 2g))z2
1 − 1 = 0
Phase diagram for weighted labeled trees (constant g):
g = 0g = 1
68. The number of local maxima Nmax (g) scales with N at the critical
point,
Nmax (g) N
N
= 2
g
2
2/3
+ O(g),
Nmax (g = 1) N
N
= 1/2
69. The number of local maxima Nmax (g) scales with N at the critical
point,
Nmax (g) N
N
= 2
g
2
2/3
+ O(g),
Nmax (g = 1) N
N
= 1/2
Therefore, to obtain a finite continuum density of critical points one
should scale g ∝ N−3/2
, i.e. g = gs
3
as observed in [ALWZ ’07].
70. The number of local maxima Nmax (g) scales with N at the critical
point,
Nmax (g) N
N
= 2
g
2
2/3
+ O(g),
Nmax (g = 1) N
N
= 1/2
Therefore, to obtain a finite continuum density of critical points one
should scale g ∝ N−3/2
, i.e. g = gs
3
as observed in [ALWZ ’07].
This is the only scaling leading to a continuum limit qualitatively
different from DT and CDT.
71. The number of local maxima Nmax (g) scales with N at the critical
point,
Nmax (g) N
N
= 2
g
2
2/3
+ O(g),
Nmax (g = 1) N
N
= 1/2
Therefore, to obtain a finite continuum density of critical points one
should scale g ∝ N−3/2
, i.e. g = gs
3
as observed in [ALWZ ’07].
This is the only scaling leading to a continuum limit qualitatively
different from DT and CDT.
Continuum limit g = gc (g)(1 − Λ 2
),
z1 = z1,c (1 − Z1 ), g = gs
3
:
Z3
1 − Λ + 3
gs
2
2/3
Z1 − gs = 0
72. The number of local maxima Nmax (g) scales with N at the critical
point,
Nmax (g) N
N
= 2
g
2
2/3
+ O(g),
Nmax (g = 1) N
N
= 1/2
Therefore, to obtain a finite continuum density of critical points one
should scale g ∝ N−3/2
, i.e. g = gs
3
as observed in [ALWZ ’07].
This is the only scaling leading to a continuum limit qualitatively
different from DT and CDT.
Continuum limit g = gc (g)(1 − Λ 2
),
z1 = z1,c (1 − Z1 ), g = gs
3
:
Z3
1 − Λ + 3
gs
2
2/3
Z1 − gs = 0
Can compute:
74. Two-point functions
Continuum amplitude for surfaces with
root at distance T from origin.
Rooted pointed quadrangulations with
distance t between origin and furthest
end-point of the root edge...
75. Two-point functions
Continuum amplitude for surfaces with
root at distance T from origin.
Rooted pointed quadrangulations with
distance t between origin and furthest
end-point of the root edge...
...are counted by z0(t) − z0(t − 1),
with z0(t) the gen. fun. for rooted
labeled trees with positive labels and
label t on root.
76. Two-point functions
Continuum amplitude for surfaces with
root at distance T from origin.
Rooted pointed quadrangulations with
distance t between origin and furthest
end-point of the root edge...
...are counted by z0(t) − z0(t − 1),
with z0(t) the gen. fun. for rooted
labeled trees with positive labels and
label t on root.
Idem for z1(t), but local max at root
not weighted by g. They satisfy
z1(t) =
1
1 − gz1(t − 1) − gz0(t) − gz0(t + 1)
z0(t) = z1(t) +
g − 1
1 − gz1(t − 1) − gz0(t)
z1(0) = 0 z0(∞) = z0
80. Theorem 1−
The map Ψ− : Q(l)
→ M(l)
is a bijection satisfying
#{faces of Q} = #{edges of Ψ(Q)}
#{local maxima of Q} = #{faces of Ψ(Q)}
#{local minima of Q} = #{local minima of Ψ(Q)}
Min label on root edge of Q = label on root of Ψ(Q)
Minimal label on Q = minimal label on Ψ(Q)
t t
t +1
t - 1
t t
t +1
t +1
81. Theorem 1−
The map Ψ− : Q(l)
→ M(l)
is a bijection satisfying
#{faces of Q} = #{edges of Ψ(Q)}
#{local maxima of Q} = #{faces of Ψ(Q)}
#{local minima of Q} = #{local minima of Ψ(Q)}
Min label on root edge of Q = label on root of Ψ(Q)
Minimal label on Q = minimal label on Ψ(Q)
t t
t +1
t - 1
t t
t +1
t +1
Restricting Ψ−
to Q with single minimum labeled 0
82. Theorem 1−
The map Ψ− : Q(l)
→ M(l)
is a bijection satisfying
#{faces of Q} = #{edges of Ψ(Q)}
#{local maxima of Q} = #{faces of Ψ(Q)}
#{local minima of Q} = #{local minima of Ψ(Q)}
Min label on root edge of Q = label on root of Ψ(Q)
Minimal label on Q = minimal label on Ψ(Q)
t t
t +1
t - 1
t t
t +1
t +1
Restricting Ψ−
to Q with single minimum labeled 0 gives a bijection
between pointed rooted quadrangulations and pointed rooted planar
maps.
83. Ψ−
(Q) has a face for each local maximum of Q. Within each face
the structure of Q is similar to CDT.
Restricting Ψ−
to Q with single minimum labeled 0 gives a bijection
between pointed rooted quadrangulations and pointed rooted planar
maps.
84. Two-point function for planar maps
The generating function for Q with max label t on the root edge is
z0(t) − z0(t − 1)
85. Two-point function for planar maps
The generating function for Q with max label t on the root edge is
z0(t) − z0(t − 1)
Therefore one obtains an explicit generating function
z0(t + 1) − z0(t) =
∞
N=0
∞
n=0
Nt(N, n)gN
gn
for the number Nt(N, n) of planar maps with N edges, n faces, and
a marked point at distance t from the root.
86. Two loop identity in generalized CDT
Consider surfaces with two boundaries separated
by a geodesic distance D.
87. Two loop identity in generalized CDT
Consider surfaces with two boundaries separated
by a geodesic distance D.
One can assign time T1, T2 to the boundaries
(|T1 − T2| ≤ D) and study a “merging” process.
88. Two loop identity in generalized CDT
Consider surfaces with two boundaries separated
by a geodesic distance D.
One can assign time T1, T2 to the boundaries
(|T1 − T2| ≤ D) and study a “merging” process.
For a given surface the foliation depends on
T1 − T2, hence also Nmax and its weight.
89. Two loop identity in generalized CDT
Consider surfaces with two boundaries separated
by a geodesic distance D.
One can assign time T1, T2 to the boundaries
(|T1 − T2| ≤ D) and study a “merging” process.
For a given surface the foliation depends on
T1 − T2, hence also Nmax and its weight.
However, in [ALWZ ’07] it was shown that the
amplitude is independent of T1 − T2.
90. Two loop identity in generalized CDT
Consider surfaces with two boundaries separated
by a geodesic distance D.
One can assign time T1, T2 to the boundaries
(|T1 − T2| ≤ D) and study a “merging” process.
For a given surface the foliation depends on
T1 − T2, hence also Nmax and its weight.
However, in [ALWZ ’07] it was shown that the
amplitude is independent of T1 − T2.
Refoliation symmetry at the quantum level in the
presence of topology change!
91. Two loop identity in generalized CDT
Consider surfaces with two boundaries separated
by a geodesic distance D.
One can assign time T1, T2 to the boundaries
(|T1 − T2| ≤ D) and study a “merging” process.
For a given surface the foliation depends on
T1 − T2, hence also Nmax and its weight.
However, in [ALWZ ’07] it was shown that the
amplitude is independent of T1 − T2.
Refoliation symmetry at the quantum level in the
presence of topology change!
Can we better understand this symmetry at the
discrete level?
92. Two loop identity in generalized CDT
Consider surfaces with two boundaries separated
by a geodesic distance D.
One can assign time T1, T2 to the boundaries
(|T1 − T2| ≤ D) and study a “merging” process.
For a given surface the foliation depends on
T1 − T2, hence also Nmax and its weight.
However, in [ALWZ ’07] it was shown that the
amplitude is independent of T1 − T2.
Refoliation symmetry at the quantum level in the
presence of topology change!
Can we better understand this symmetry at the
discrete level?
For simplicity set the boundary lengths to zero.
Straightforward generalization to finite boundaries.
94. Qd = {rooted quadr. Q with marked vert. v1, v2, s.t. d(v1, v2) = d}
Md = {rooted maps M with marked vert. v1, v2, s.t. d(v1, v2) = d}
Let Ld
t1,t2
: Qd → Q(l)
with |t1 − t2| − d = 2, 4, . . . be the labeled
quad. with local minima ti on vi .
Qd
Q(l)
Ld
t1,t2
95. Qd = {rooted quadr. Q with marked vert. v1, v2, s.t. d(v1, v2) = d}
Md = {rooted maps M with marked vert. v1, v2, s.t. d(v1, v2) = d}
Let Ld
t1,t2
: Qd → Q(l)
with |t1 − t2| − d = 2, 4, . . . be the labeled
quad. with local minima ti on vi .
Qd
Q(l)
M(l)
Ld
t1,t2
Ψ−
96. Qd = {rooted quadr. Q with marked vert. v1, v2, s.t. d(v1, v2) = d}
Md = {rooted maps M with marked vert. v1, v2, s.t. d(v1, v2) = d}
Let Ld
t1,t2
: Qd → Q(l)
with |t1 − t2| − d = 2, 4, . . . be the labeled
quad. with local minima ti on vi .
Qd
Q(l)
M(l)
Md ∪ Md−1
Ld
t1,t2
Ψ−
97. Qd = {rooted quadr. Q with marked vert. v1, v2, s.t. d(v1, v2) = d}
Md = {rooted maps M with marked vert. v1, v2, s.t. d(v1, v2) = d}
Let Ld
t1,t2
: Qd → Q(l)
with |t1 − t2| − d = 2, 4, . . . be the labeled
quad. with local minima ti on vi .
Qd Md ∪ Md−1
Ψd
t1,t2
98. Qd = {rooted quadr. Q with marked vert. v1, v2, s.t. d(v1, v2) = d}
Md = {rooted maps M with marked vert. v1, v2, s.t. d(v1, v2) = d}
Let Ld
t1,t2
: Qd → Q(l)
with |t1 − t2| − d = 2, 4, . . . be the labeled
quad. with local minima ti on vi .
Qd
Q(l)
M(l)
Md ∪ Md−1
Ld
t1,t2
Ψ−
Ψd
t1,t2
99. Qd = {rooted quadr. Q with marked vert. v1, v2, s.t. d(v1, v2) = d}
Md = {rooted maps M with marked vert. v1, v2, s.t. d(v1, v2) = d}
Let Ld
t1,t2
: Qd → Q(l)
with |t1 − t2| − d = 2, 4, . . . be the labeled
quad. with local minima ti on vi .
Qd Md ∪ Md−1
Ψd
t1,t2
Ψd
t1,t2
100. Qd = {rooted quadr. Q with marked vert. v1, v2, s.t. d(v1, v2) = d}
Md = {rooted maps M with marked vert. v1, v2, s.t. d(v1, v2) = d}
Let Ld
t1,t2
: Qd → Q(l)
with |t1 − t2| − d = 2, 4, . . . be the labeled
quad. with local minima ti on vi .
Qd Md ∪ Md−1
Ψd
t1,t2
(Ψd
t1,t2
)−1
101. Qd = {rooted quadr. Q with marked vert. v1, v2, s.t. d(v1, v2) = d}
Md = {rooted maps M with marked vert. v1, v2, s.t. d(v1, v2) = d}
Let Ld
t1,t2
: Qd → Q(l)
with |t1 − t2| − d = 2, 4, . . . be the labeled
quad. with local minima ti on vi .
Qd Md ∪ Md−1
Ψd
t1,t2
(Ψd
t1,t2
)−1
102. Qd = {rooted quadr. Q with marked vert. v1, v2, s.t. d(v1, v2) = d}
Md = {rooted maps M with marked vert. v1, v2, s.t. d(v1, v2) = d}
Let Ld
t1,t2
: Qd → Q(l)
with |t1 − t2| − d = 2, 4, . . . be the labeled
quad. with local minima ti on vi .
We have found a bijection (Ψd
t1,t2
)−1
◦ Ψd
t1,t2
: Qd → Qd preserving
the distance between v1 and v2, mapping Nmax maxima w.r.t.
(t1, t2) to Nmax maxima w.r.t. (t1, t2).
103. Proof of Ψd
t1,t2
(Qd) ⊂ Md ∪ Md−1
For simplicity let us set t0 = t1 = 0 (and d = 4). Then the label on
v is min{d(v, v1), d(v, v2)}.
104. Proof of Ψd
t1,t2
(Qd) ⊂ Md ∪ Md−1
For simplicity let us set t0 = t1 = 0 (and d = 4). Then the label on
v is min{d(v, v1), d(v, v2)}.
The same holds in the planar map.
105. Proof of Ψd
t1,t2
(Qd) ⊂ Md ∪ Md−1
For simplicity let us set t0 = t1 = 0 (and d = 4). Then the label on
v is min{d(v, v1), d(v, v2)}.
The same holds in the planar map.
106. Proof of Ψd
t1,t2
(Qd) ⊂ Md ∪ Md−1
For simplicity let us set t0 = t1 = 0 (and d = 4). Then the label on
v is min{d(v, v1), d(v, v2)}.
The same holds in the planar map.
For each path of length d in Q there is a path of length d − 1 or d
in M.
107. Proof of Ψd
t1,t2
(Qd) ⊂ Md ∪ Md−1
For simplicity let us set t0 = t1 = 0 (and d = 4). Then the label on
v is min{d(v, v1), d(v, v2)}.
The same holds in the planar map.
For each path of length d in Q there is a path of length d − 1 or d
in M.
108. Proof of Ψd
t1,t2
(Qd) ⊂ Md ∪ Md−1
For simplicity let us set t0 = t1 = 0 (and d = 4). Then the label on
v is min{d(v, v1), d(v, v2)}.
The same holds in the planar map.
For each path of length d in Q there is a path of length d − 1 or d
in M.
109. Proof of Ψd
t1,t2
(Qd) ⊂ Md ∪ Md−1
For simplicity let us set t0 = t1 = 0 (and d = 4). Then the label on
v is min{d(v, v1), d(v, v2)}.
The same holds in the planar map.
For each path of length d in Q there is a path of length d − 1 or d
in M.
110. Conclusions & Outlook
Conclusions
The Cori–Vauquelin–Schaeffer bijection and its generalizations are
ideal for studying “proper-time foliations” of random surfaces.
Generalized CDT appears naturally as the scaling limit of random
planar maps with a fixed finite number of faces.
Continuum DT (Brownian map?) seems to be recovered by taking
gs → ∞.
The relation to planar maps explains the mysterious loop-loop
identity in the continuum.
111. Conclusions & Outlook
Conclusions
The Cori–Vauquelin–Schaeffer bijection and its generalizations are
ideal for studying “proper-time foliations” of random surfaces.
Generalized CDT appears naturally as the scaling limit of random
planar maps with a fixed finite number of faces.
Continuum DT (Brownian map?) seems to be recovered by taking
gs → ∞.
The relation to planar maps explains the mysterious loop-loop
identity in the continuum.
Outlook
Is there a convergence towards a random measure on metric spaces,
i.e. analogue of the Brownian map? Should first try to understand
2d geometry of random causal triangulations.
Does the loop-loop identity generalize? Is there some structure to
the associated symmetries?
Various stochastic processes involved in generalized CDT. How are
they related?
112. Conclusions & Outlook
Conclusions
The Cori–Vauquelin–Schaeffer bijection and its generalizations are
ideal for studying “proper-time foliations” of random surfaces.
Generalized CDT appears naturally as the scaling limit of random
planar maps with a fixed finite number of faces.
Continuum DT (Brownian map?) seems to be recovered by taking
gs → ∞.
The relation to planar maps explains the mysterious loop-loop
identity in the continuum.
Outlook
Is there a convergence towards a random measure on metric spaces,
i.e. analogue of the Brownian map? Should first try to understand
2d geometry of random causal triangulations.
Does the loop-loop identity generalize? Is there some structure to
the associated symmetries?
Various stochastic processes involved in generalized CDT. How are
they related?
Further reading: arXiv:1302.1763
These slides and more: http://www.nbi.dk/~budd/
Thanks for your attention!
113. Including boundaries [Bouttier, Guitter ’09, Bettinelli ’11, Curien, Miermont ’12]
A quadrangulations with
boundary length 2l
114. Including boundaries [Bouttier, Guitter ’09, Bettinelli ’11, Curien, Miermont ’12]
A quadrangulations with
boundary length 2l and an
origin.
115. Including boundaries [Bouttier, Guitter ’09, Bettinelli ’11, Curien, Miermont ’12]
A quadrangulations with
boundary length 2l and an
origin.
Applying the same prescription
we obtain a forest rooted at the
boundary.
5
6
7
6
5
6
5 4
3
4
5
4
3
2
3
4
3
4
5
6
7
8
9
89
8
7
6
116. Including boundaries [Bouttier, Guitter ’09, Bettinelli ’11, Curien, Miermont ’12]
A quadrangulations with
boundary length 2l and an
origin.
Applying the same prescription
we obtain a forest rooted at the
boundary.
The labels on the boundary
arise from a (closed) random
walk.
5
6
7
6
5
6
5 4
3
4
5
4
3
2
3
4
3
4
5
6
7
8
9
89
8
7
6
5
6
7
6
5
6
5
4
3
4
5
4
3
2
3
4
3
4
5
6
7
8
9
8
9
8
7
6
117. Including boundaries [Bouttier, Guitter ’09, Bettinelli ’11, Curien, Miermont ’12]
A quadrangulations with
boundary length 2l and an
origin.
Applying the same prescription
we obtain a forest rooted at the
boundary.
The labels on the boundary
arise from a (closed) random
walk.
A (possibly empty) tree grows
at the end of every +-edge.
5
6
7
6
5
6
5 4
3
4
5
4
3
2
3
4
3
4
5
6
7
8
9
89
8
7
6
118. Including boundaries [Bouttier, Guitter ’09, Bettinelli ’11, Curien, Miermont ’12]
A quadrangulations with
boundary length 2l and an
origin.
Applying the same prescription
we obtain a forest rooted at the
boundary.
The labels on the boundary
arise from a (closed) random
walk.
A (possibly empty) tree grows
at the end of every +-edge.
There is a bijection
5
6
7
6
5
6
5 4
3
4
5
4
3
2
3
4
3
4
5
6
7
8
9
89
8
7
6
Quadrangulations with origin
and boundary length 2l
↔ {(+, −)-sequences} × {tree}
l