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Triangulations and soliton graphs Rachel Karpman and Yuji Kodama The Ohio State University September 4, 2018 Karpman and Kodama (OSU) Soliton graphs September 4, 2018 1/1
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Page 1: Triangulations and soliton graphs

Triangulations and soliton graphs

Rachel Karpman and Yuji Kodama

The Ohio State University

September 4, 2018

Karpman and Kodama (OSU) Soliton graphs September 4, 2018 1 / 1

Page 2: Triangulations and soliton graphs

Introduction

Outline

Setting: The KP equation.

Soliton graphs.

Duality and soliton triangulations.

Results.

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Page 3: Triangulations and soliton graphs

The KP equation

The KP equation

Non-linear dispersive wave equation

∂x

(−4

∂u

∂t+ 6u

∂u

∂x+∂3u

∂x3

)+ 3

∂2u

∂y2= 0.

Line-soliton solutions of the KP equation model shallow-water waveswith peaks localized along straight lines.

Combinatorics of KP solitons studied in (?).

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Page 4: Triangulations and soliton graphs

The KP equation

The Grassmannian

Regular line-soliton solutions can be constructed from points in thetotally nonnegative Grassmannian.

For N ≤ M, let Gr(N,M) be the Grassmannian of N-planes inM-space.

Represent points in Gr(N,M) by full-rank N ×M matrices, modulorow operations.

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Page 5: Triangulations and soliton graphs

The KP equation

Plucker coordinates

The N × N matrix minors give homogeneous coordinates onGr(N,M), called Plucker coordinates.

For I an N-element subset of {1, 2, . . . ,M}, let ∆I (A) denote thematrix minor of A corresponding to columns indexed by I .

The collection N-tuples indexing non-vanishing Plucker coordinates ofA the matroid of A, denoted M(A).

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Page 6: Triangulations and soliton graphs

The KP equation

The totally nonnegative Grassmannian

The totally nonnegative Grassmannian Gr≥0(N,M) is the locus ofGr(N,M) where all Plucker coordinates are nonnegative.

Similarly, the totally positive Grassmannian Gr>0(N,M) is the locuswhere all Plucker coordinates are positive.

The combinatorics of Gr≥0(M,N) was first studied in (?).

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Page 7: Triangulations and soliton graphs

The KP equation

Notation

Fix M “generic enough” points (pi , qi ) on the parabola q = p2, with

p1 < p2 < · · · < pM .

For I = {i1 < · · · < iN} ∈([M]

N

), let

ΘI =∑i∈I

pix + qiy + ωi (t).

Here t is the multi-time parameter (t3, . . . , tM) and

ωi (t) =M−1∑k=3

pki tk .

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Page 8: Triangulations and soliton graphs

The KP equation

From matrices to soliton solutions

Let KI =∏

`<m(pim − pi`)

Let A be a matrix representing a point in Gr≥0(N,M).

A uA(x , y , t) = 2∂2

∂x2(ln τA(x , y , t))

where we haveτA =

∑I∈M(A)

∆I (A)KI exp(ΘI )

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Page 9: Triangulations and soliton graphs

Soliton Graphs

Contour plots

The function uA(x , y , t) models the height of a wave at time t.

Wave peaks give a contour plot.

100

200

-100

-200

0

100

200

-100

-200

0

-200 -100 100 2000 -200 -100 100 2000

t = 70t = 0

100

200

-100

-200

0

-200 -100 100 2000

t = -70

Figure: Contour plots corresponding to a point in Gr≥0(3, 6)

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Page 10: Triangulations and soliton graphs

Soliton Graphs

Contour plots are tropical curves

Can approximate the contour plot as the locus where

fA = max {ln(∆I (A)KI ) + ΘI : I ∈M(A)}

is nonlinear.

So fA chops up the (x , y)-plane into regions where one plane

z = ln (∆I (A)KI ) + ΘI (x , y , t)

is dominant over the others.

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Page 11: Triangulations and soliton graphs

Soliton Graphs

Asymptotic contour plots

Asymptotic contour plots: rescale the variables, can assume thescalars ∆I (A) are negligible.

The asymptotic contour plot for fixed multi-time parameter t0 is thelocus where

fM = max{ΘI (x , y , t0) | I ∈M(A)}

is non-linear.

More precisely, fM = lims→∞1s fA(sx , sy , st0).

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Page 12: Triangulations and soliton graphs

Soliton Graphs

Example

Let N = 1, M = 4.

Choose parameters

p1 = −2 p2 = 0 p3 = 1 p4 = 2.

Let t = t3 = 1.

Then we have

θ1(x , y , t) = −2x + 4y − 8

θ2(x , y , t) = 0

θ3(x , y , t) = x + y + 1

θ4(x , y , t) = 2x + 4y + 8

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Page 13: Triangulations and soliton graphs

Soliton Graphs

Example Continued

-7 -6 -5 -4 -3 -2 -1 1 2 3 4

-4

-3

-2

-1

1

2

3

0

θ1

θ2

θ3

θ4

x

y

Figure: An asymptotic contour plot.

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Page 14: Triangulations and soliton graphs

Soliton Graphs

Soliton graphs

Goal: understand combinatorics of asymptotic contour plots.

Take plots up to isotopy, get soliton graphs.

Restrict to Gr>0(N,M), where all Plucker coordinates positive.

In this case, soliton graphs are plabic graphs (?).

Want to classify soliton graphs for Gr>0(N,M).

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Page 15: Triangulations and soliton graphs

Soliton Graphs

Constructing soliton graphs

Embed asymptotic contour plot in a disk, take graph up to isotopy.

Color an internal vertex white if the adjoining regions share M − 1indices, and black otherwise.

2 4

1 4

1 2 3 4

2 3

2 4

1 4

1 2 3 4

2 3

Figure: From contour plot to soliton graph.

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Page 16: Triangulations and soliton graphs

Soliton Graphs

Plabic graphs

Planar, bicolored graph embedded in a disk, satisfies some technicalconditions.

We label each face F plabic graph with an i if F is to the left of thezig-zag path Ti ending at boundary vertex i .

1

43

2

2 4

1 4

1 2 3 4

2 3

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Page 17: Triangulations and soliton graphs

Soliton Graphs

Face labels of plabic graphs

The face labels determine the graph, up to contracting andun-contracting unicolored edges.

Face labels of plabic graphs give clusters in the cluster algebrastructure of Gr(N,M) (?).

Every cluster containing only Plucker variables comes from a plabicgraph.

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Page 18: Triangulations and soliton graphs

Soliton Graphs

Weak Separation

A collection C of N-element subsets of {1, 2, . . . ,M} is the set of facelabels of a plabic graph for Gr(N,M) if and only if it is a maximalweakly separated collection.

For any I , J ∈ C, if the numbers 1, . . . ,M are arranged in order arounda circle, we can draw a chord that separates I\J from J\I .

C has N(M − N) + 1 elements (so it is as large as possible).

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Page 19: Triangulations and soliton graphs

Soliton Graphs

Realizability

Theorem (?)

Every soliton graph for Gr>0(N,M) is a plabic graph. Face labels of theplabic graph correspond to dominant exponentials of the soliton solution.

We say a collection of face labels is realizable if it comes from asoliton graph.

Goal: classify realizable collections.

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Page 20: Triangulations and soliton graphs

Duality and soliton triangulations

The duality map

Map a plane to a point:

θi (x , y) = pix + qiy + ωi 7→ vi = (pi , qi , ωi )

Take convex hull of points, project from above to (p, q)-plane.

Get triangulation of the M-gon.

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Page 21: Triangulations and soliton graphs

Duality and soliton triangulations

Example continued

Recall:

p1 = −2 p2 = 0 p3 = 1 p4 = 2 t = 1

-7 -6 -5 -4 -3 -2 -1 1 2 3 4

-4

-3

-2

-1

1

2

3

0

θ1

θ2

θ3

θ4

x

y

-2 -1 1 2

1

2

3

4v1

v2

v3

v4

x

y

0

Figure: A soliton tiling.

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Page 22: Triangulations and soliton graphs

Duality and soliton triangulations

The N = 2 case

ΘI (x , y) 7→ vI =∑i∈I

vi

-2 -1 1 2

1

2

3

4v1

v2

v3

v4

x

y

0

-2 -1 1 2 3 4

1

2

3

4

5

6

7

8

v2 4v1 2

v2 3

v3 4

v1 4

x

y

0

Karpman and Kodama (OSU) Soliton graphs September 4, 2018 22 / 1

Page 23: Triangulations and soliton graphs

Duality and soliton triangulations

Induction

Use induction algorithm to construct tiling for Gr>0(N + 1,M) fromtiling for Gr>0(N,M) (?).

1

2

3

4

5 6

7

8

9

10

11

2

1

5

2

9

11

8

6

4

1

2

3

4

5 6

7

8

9

10

11

Figure: Using the induction algorithm.

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Page 24: Triangulations and soliton graphs

Duality and soliton triangulations

Induction continued

Triangulation of the white polygons depends on the weights of ourpoints.

1 2

2 3

3 4

4 5

5 6

6 7

7 8

8 9

9 10

10 111 11

1 2 3

2 3 4

3 4 5

4 5 6 5 6 7

6 7 8

7 8 9

8 9 10

9 10 11

1 10 11

1 2 11

2 5 6

2 5 8

1 2 8

1 2 9

6 8 9

1 2 5

1 2 4

2 4 5

5 6 8

1 5 8

1 9 11

1 8 9

1 6 8

1 2 8

8 9 11

1 2 3

2 3 4

3 4 5

4 5 6 5 6 7

6 7 8

7 8 9

8 9 10

9 10 11

1 10 11

1 2 11

2 5 6

2 5 8

1 2 8

1 2 9

6 8 9

1 2 5

1 2 4

2 4 5

5 6 8

1 5 8

1 9 11

1 8 9

1 6 8

1 2 8

8 9 111 9 9 11

1 8

1 5

2 5

5 8

6 8

2 4

Figure: From N = 2 to N = 3.

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Page 25: Triangulations and soliton graphs

Results

Summary of results

Question: is every maximal weakly separated collection realizable?

Answer is yes for...

Gr>0(2,M) (?).

Gr>0(3, 6) (?).

Gr>0(3, 7),Gr>0(3, 8) [Kodama and K.]

In general, the answer is no.

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Page 26: Triangulations and soliton graphs

Results

Choices of parameters

For N = 3, M = 6, 7 or 8, every weakly separated collection isrealizable for some choice of parameters p1, p2, . . . , pM .

Which plabic graphs we can realize depends on our choice of pi .

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Page 27: Triangulations and soliton graphs

Results

Examples

1

2

34

5

61

2

3

4

5

6

136

235 145

135

123

234

345

456

156

126

134 356

125

135

123

234

345

456

156

126

Figure: Triangulations which are only realizable for some choices of parameters.

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Page 28: Triangulations and soliton graphs

Results

Classification for Gr(3, 6) and Gr(3, 7).

For Gr(3, 6), there are 34 possible graphs, each generic choice ofparameters lets us realize 32 of them (?).

For Gr(3, 7), there are 259 possible graphs, a each generic choice ofpi we can realize 231 of them [Kodama and K].

Main obstacle: same as in Gr(3, 6) case.

For Gr(3, 8), don’t yet have classification.

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Page 29: Triangulations and soliton graphs

Results

The general case

Not all weakly separated collections are realizable.

Can build plabic graph from any simple, non-stretchable arrangementof pseudolines, which gives a counter-example [Thomas, 2017].

Smallest counter-example of this form is for Gr(9, 18)

Conjecture: much smaller counter-examples exist.

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Page 30: Triangulations and soliton graphs

Results

References I

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