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Charateristi polynomial

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3.2 Partition funtion, harateristi polynomial, free energy

3.2.2 Charateristi polynomial

A similar argument holds for the toroidal graph

G n

,

n ≥ 1

. The orientation of edges of

G 1

denes a periodi orientation of edges of

G

, and thus an orientation of edges of

G n

. Let

γ x,n

,

γ y,n

betheorientedyles inthedualgraph

G n

,obtainedbytaking

n

timesthebasisvetor

e x

,

n

times the basisvetor

e y

respetively,embedded on the torus. For

σ, τ ∈ { 0, 1 }

, let

K n στ

be

thematrix

K n

inwhihtheweightsof edgesrossingthehorizontal yle

γ x,n

aremultipliedby

( − 1) θ

,andthose rossingthe vertialyle

γ y,n

aremultiplied by

( − 1) τ

. Then,

Theorem 7. [Kas67, DZM

+

96,GL99 , Tes00, CR07, CR08℄

Z ( G n ) = 1

2 − det(K n 00 ) + det(K n 10 ) + det(K n 01 ) + det(K n 11 ) .

3.2.2 Charateristi polynomial

Let

K 1

be a Kasteleyn matrix of the fundamental domain

G 1

. Given omplex numbers

z

and

w

, an altered Kasteleyn matrix

K 1 (z, w)

is onstruted as follows. Let

γ x

,

γ y

be the oriented

horizontal and vertial yles of

G ∗

1

. Then, multiply edge-weights of edges rossing

γ x

by

z

whenever the white vertex is on the left, and by

z 1

whenever the blak vertex is on theleft.

Similarly,multiply edge-weightsof edgesrossing thevertial path

γ y

by

w ± 1

,seeFigure 3.5.

The harateristi polynomial

P (z, w)

of the graph

G 1

is dened as the determinant of the alteredKasteleyn matrix:

P (z, w) = det(K 1 (z, w)).

Aswewillsee,theharateristipolynomialontainsmostoftheinformationonthemarosopi

behaviorof the dimermodel onthegraph

G

.

The next very useful lemma expresses the harateristi polynomial using height hanges of

dimerongurations of

G 1

. Referto Setion 3.1for denitions andnotations onerningheight hanges. Let

M 0

beareferenedimerongurationof

G 1

,andsupposetheadmissibleorientation oftheedgesishosensuhthatperfetmathingshaving

(0, 0)

mod

(2, 2)

heighthangehave+

signintheexpansionof

det(K 1 )

. WeonsiderthealteredKasteleynmatrix

K 1 (z, w)

onstruted

from

K 1

. Let

ω M 0

be therefereneoworrespondingto thereferenedimeronguration

M 0

,

andlet

x 0

denote thetotal uxof

ω M 0

aross

γ x

,similarly

y 0

isthetotaluxof

ω M 0

aross

γ y

.

Then, we have:

Lemma 8. [KOS06℄

P (z, w) = z x 0 w y 0 X

M ∈M ( G 1 )

ν(M )z h M x w h M y ( − 1) h M x h M y +h M x +h M y ,

(3.3)

where, for every dimeronguration

M

of

M ( G 1 )

,

(h M x , h M y )

is the height hange of

M

.

Proof. Let

M

be a perfet mathing of

G 1

. Then, by the hoie of Kasteleyn orientation, the signofthetermorrespondingto

M

intheexpansionof

det(K 1 (z, w))

is:

+

if

(h M x , h M y ) = (0, 0) mod (2, 2)

,and

else. Thisan besummarized as:

( − 1) h M x h M y +h M x +h M y .

Let us denote by

ν z,w

, the weight funtion on edges of

G 1

obtained from

G 1

by multiplying edge-weights of edgesrossing

γ x

by

z ± 1

,and those rossing

γ y

by

w ± 1

asabove. Then,

ν z,w (M) = ν (M )z n wb x (M ) n bw x (M) w n wb y (M ) n bw y (M ) ,

where

n wb x (M)

is the numberof edges of

M

rossing

γ x

, whih have a white vertexon the left

of

γ x

, and

n bw x (M )

is thenumber of edges of

M

rossing

γ x

, whih have a blak vertexon the

leftof

γ x

. The denitionof

n wb y (M )

,

n bw y (M)

issimilar with

γ x

replaedby

γ y

.

Returning to the denition of the height hange for dimer ongurations of thetoroidal graph

G n

,wehave:

Example 3.1. Letus ompute theharateristi polynomial ofthe fundamentaldomain

G 1

of thesquare-otagongraph,withweightsoneontheedges. Figure3.5(left)desribesthelabeling

of the verties, and weights of the altered Kasteleyn matrix. The orientation of the edges is

admissible and is suh that perfet mathings having

(0, 0)

height hange with respet to the

referenemathing

M 0

given on the right, have a +signintheexpansion of

det(K 1 )

.

γ

Figure 3.5: Left: labeling of the verties of

G 1

, edge-weights of the altered Kasteleyn matrix, hoieof admissible Kasteleynorientation. Right: hoie of refereneperfet mathing

M 0

.

Thealtered Kasteleynmatrix

K 1 (z, w)

is:

K 1 (z, w) =

mathing

M 0

of Figure 3.5 (right), the total ux of

ω M 0

through

γ x

and

γ y

is

(0, 0)

, so that

z x 0 w y 0 = 1

. Sine all edges have weight 1,

ν(M) ≡ 1

. Figure 3.6 desribes the 9 perfet

mathingsof

G 1

,withtheir respetive height hange. Asa onsequene,theontribution ofthe perfet mathings of

G 1

to the right hand side of (3.3) is

1

for eah of the 5 rst ones,

− w

,

respetively,

− w 1

,

− z

,

1 z

for thelast four ones. Combining thedierent ontributions yields, asexpeted, the harateristi polynomialasomputed inEquation (3.4) .

4 matchings with height change (0,0) matching with height change (0,0) or

matching with height change (0,1)

(0,−1), (1,0) and (−1,0) + 3 symmetries with height change

0

Figure3.6: 9 possibledimerongurations of

G 1

withtheir height hange.

Inthespeiasewhen

(z, w) ∈ {− 1, 1 } 2

in

K 1 (z, w)

,onreoversthefourmatries

(K 1 θτ ) θ,τ ∈{ 0,1 }

.

Using Equation(3.2),wereoverthatthenumberof dimer ongurations of

G 1

is:

Z( G 1 ) = 1

2 ( − P (1, 1) + P( − 1, 1) + P (1, − 1) + P ( − 1, − 1)) = 9.

(3.5)

Charateristi polynomials oflargergraphs maybe omputedreursively asfollows. Let

K n

be

aKasteleynmatrixofthegraph

G n

asabove,andlet

γ x,n

and

γ y,n

bethehorizontalandvertial

yles of

G ∗

Proof. Theproofisageneralization of[CKP01℄wherethesameresultisobtainedfor thegraph

G = Z 2

. We only give theargument when

z = w = 1

. The proof for general

z, w

's follows the

Let

W n

,respetively

B n

,denotethe set ofwhite, respetively blak, verties of

G n

. The ideais tousethetranslationinvariane ofthegraph

G n

andofthematrix

K n

toblokdiagonalize

K n

,

and toompute itsdeterminant by omputingthedeterminant ofthedierent bloks.

Let

C W n

be the setof omplex-valued funtions onwhite verties

W n

,and

C B n

those on blak deompositionof

C B n

,onsistingofeigenvetorsof

T B n

. Theeigenvaluesof

T B n

aretheproduts

of

n

-th roots of unity:

(α j β k ) j,k ∈{ 0,...,n 1 }

, where

α j = e i 2πj n

,

β k = e i 2πk n

(as a onsequene of

Letus showthat

K n

representedinthis basis isblokdiagonal, witha blok ofsize

| V ( G 1 ) |

,andthematrix

K n

writteninthebasis

E

isblokdiagonal.

For all

w ∈ W 1

,

b ∈ B 1

,the

( w , b )

-oeient oftheblokorrespondingto theeigenvalue

α j β k

Asaorollaryto Theorems 7and 9,wehave anexpliitexpressionfor thepartitionfuntion of

G n

asafuntion of the harateristi polynomial

P

.

Corollary 10. When the Kasteleyn orientation ishosen suh that the signtable of the

funda-mentaldomain isgiven by Table 3.1,then forevery

n ≥ 1

,

Thepartition funtion isgrowing withthesize ofthegraph. Anatural questionto asknowis:

whatisthisgrowthrate? Inordertoformulatethequestionorretly,weneedtoknowabout

theorderofmagnitudeofthis growth. Intuitiontellsusthatitisgoingto beexponential inthe

areaof thegraph:

Z ( G n ) ∼ e cn 2

. Thus theright quantity to lookat is:

n lim →∞

1

n 2 log Z ( G n ).

Minus this quantity isknown asthe free energy.

Theorem 11. [CKP01,KOS06 ℄ Undertheassumptionthat

P (z, w)

hasonlya nitenumber of

zeros on the unit torus

T 2 = { (z, w) ∈ C 2 : | z | = | w | = 1 }

, we have:

Proof. Sine

Z n θτ

ounts some dimer ongurations of

G n

with the wrong sign, we have the following bound:

Z n θτ ≤ Z( G n ).

Moreover, looking at Table3.1, we dedue:

− Z n 00 ≤ +Z n 10 + Z n 01 + Z n 11 ,

exist. ByTheorem 9,we have:

1

n 2 log Z n θτ

anbewritteninasimilarway. Thesefour termslooklikeRiemann

sums for the integral:

too lose to the zeros of

P(z, w)

mayexplode. By using thevery areful argument of Theorem

7.3. of [CKP01℄, one an hek that this will not happen, and so the Riemann sum of the

maximumonverges to the integral

I

.

Theproof isonluded byobserving thatsine

P (e , e ) = P (e , e )

,

Example. The free energy of the dimer model on the square-otagon graph with uniform

weights is:

Notethat itisingeneral hard to expliitly ompute thisintegral.

3.3 Gibbs measures

We are now interested in haraterizing probability measures on the set of perfet mathings

M ( G )

oftheinnitegraph

G

whihare,insomeappropriatesense,innitevolumeversionsofthe Boltzmann measureon

M ( G n )

. Reallthat bydenition, theprobabilityof amathinghosen with respet to the Boltzmann measure on

M ( G n )

is proportional to the produt of its edge weights. Thisdenitiondoesnot workwhenthegraph isinnite, andis replaedbythenotion

of Gibbs measure, whih is a probability measure on

M ( G )

satisfying the DLR 1 onditions:

if the perfet mathing inan annular region of

G

is xed, mathings inside and outside of the annulus are independent, and the probability of any interior mathing is proportional to the

produtof itsedge-weights.

3.3.1 Limit of Boltzmann measures

A natural way ofonstruting aGibbs measureis to take thelimit ofthe Boltzmann measures

on ylinder sets of

M ( G n )

, where a ylinder set onsists of all perfet mathings ontaining a

xedsubset of edgesof

G n

.

Theorem 2 gives an expliit expression for the Boltzmann measure on ylinder sets when the

graph is planar and nite. In the ase of toroidal graphs, a similar but more ompliated

expressionholds: itisaombinationoffourstermssimilartothose ofEquation(2.2) ,involving

thematries

K n 00 , . . . , K n 11

,andtheir inverses.

Usingtheblokdiagonalizationofthematries

K n στ

oftheproofofTheorem9,oneanompute

the elements of the inverse expliitly and obtain Riemann sums. The onvergene of these

Riemann sums is againompliated bythe zerosof

P (z, w)

on thetorus

T 2

,but an be shown toonvergeonasubsequeneof

n

'stotherighthandsideofEquation(3.7) . UsingaTheoremof

Sheeld [She05 ℄ whih shows a prioriexistene of thelimit,one dedues onvergene for every

n

. Then, by Kolmogorov's extension theorem, there exists a unique probability measure on

( M ( G ), σ( A ))

whihoinideswiththelimitoftheBoltzmannmeasuresonylinder sets,where

σ( A )

isthesmallestsigma-eldontainingylindersets. ThislimitingmeasureisofGibbstype

by onstrution. Wehave thus skethed theproof ofthefollowing theorem.

1

DLRstandsforDobrushin,LanfordandRuelle

Theorem12. [CKP01 ,KOS06 ℄Let

{ e 1 = w 1 b 1 , . . . , e k = w k b k }

beasubset ofedgesof

G

. Then there existsa unique probability measure

µ

on

( M ( G ), σ( A ))

suh that:

µ( e 1 , . . . , e k ) = Y k i=1

K( w i , b i )

!

det(K 1 ( b i , w j ) 1 i,j k ),

(3.7)

where

K

is a Kasteleynmatrix assoiated tothe graph

G

,and assuming

b

and

w

are in a single fundamental domain:

K 1 ( b , w + (x, y)) = 1 (2πi) 2

Z

T 2

Q bw (z, w)

P (z, w) z x w y dw w

dz z ,

and

Q bw (z, w)

isthe

( b , w )

element of the adjugatematrix (transpose of the ofatormatrix) of

K 1 (z, w)

. Itis a polynomial in

z, w, z 1 , w 1

.

3.3.2 Ergodi Gibbs measures

Inthe previous setion,wehave expliitlydetermined aGibbsmeasure on

M ( G )

. We now aim

at haraterizing all of them. In order to this in a way whih is oherent with the model, we

introdue thefollowing notions.

A probability measure on

M ( G )

is translation-invariant, if the measure of a subset of

M ( G )

is invariant under the translation-isomorphism ation. An ergodi Gibbs measure (EGM) is a

Gibbs measure whih is translation invariant and ergodi, i.e. translation invariant sets have

measure

0

or

1

.

ForanergodiGibbsmeasure

µ

,dene theslope

(s, t)

tobetheexpetedhorizontalandvertial

height hange in the

(1, 0)

and

(0, 1)

diretions, that is

s = E µ [h( v + (1, 0)) − h( v )]

, and

t = E µ [h( v + (0, 1)) − h( v )]

.

Let us denote by

µ n

the Boltzmann measure on

M ( G n )

. For a xed

(s, t) ∈ R 2

, let

M s,t ( G n )

be thesetof mathings of

G n

whih have height hange

( ⌊ sn ⌋ , ⌊ tn ⌋ )

. Assuming that

M s,t ( G n )

is non-emptyfor

n

suiently large, let

µ n (s, t)

denote theonditional measure indued by

µ n

on

M s,t ( G n )

. Then, a haraterization of all ergodi Gibbsmeasures on

M ( G )

isgiven bythe

following theoremofSheeld.

Theorem 13. [She05 ℄For eah

(s, t)

for whih

M s,t ( G n )

is non-emptyfor

n

suientlylarge,

µ n (s, t)

onverges as

n → ∞

to an EGM

µ(s, t)

of slope

(s, t)

. Furthermore

µ n

itselfonverges

to

µ(s 0 , t 0 )

where

(s 0 , t 0 )

is the limit of the slopes of

µ n

. Finally, if

(s 0 , t 0 )

lies in the interior

of the set of

(s, t)

for whih

M s,t ( G n )

is non-empty for

n

suiently large, then every EGM

of slope

(s, t)

is of the form

µ(s, t)

for some

(s, t)

as above; that is

µ(s, t)

is the unique ergodi

Gibbs measure of slope

(s, t)

.

Proof. TheexisteneisestablishedbytakinglimitsofBoltzmannmeasuresonlarger andlarger

tori while restriting height hange. The uniqueness is muh harder, and we won't disuss it

here.

3.3.3 Newton polygon and available slopes

Theorem13raisesthefollowingquestion: whatisthesetofpossibleslopesforGibbsmeasuresor

equivalently for limitsofonditional Boltzmannmeasures ? Theanswerisgiven bytheNewton

polygon

N (P )

dened as follows:

N (P )

is the losed onvex hull in

R 2

of the set of integer

exponents ofthe monomials of the harateristi polynomial

P (z, w)

,up to ontribution ofthe refereneow

ω M 0

,thatis:

N (P ) =

onvexhull

{ (i, j) ∈ Z 2 | z i+x 0 w j+y 0

is amonomial in

P (z, w) } .

Proposition 14. [KOS06 ℄ The Newton polygon is the set of possible slopes of EGMs, that is

there existsan EGM

µ(s, t)

if and onlyif

(s, t) ∈ N (P )

.

Proof. Observing that hanging the referene ow merely translates the Newton polygon, we

assumethat

(x 0 , y 0 ) = (0, 0)

.

Letus rst prove thatif

(s, t) ∈ N (P )

,thenthere isa Gibbsmeasure ofslope

(s, t)

,or

equiva-lently

M s,t ( G n )

is non-emptyfor

n

large enough. For onveniene, we will assumethat theset

of possible slopesis losed.

ByLemma8,theabsolutevalueoftheoeient

z i w j

in

P (z, w)

istheweightedsumof

math-ings of

G 1

with height hange

(i, j)

, thus there is a mathing orresponding to eah extremal pointof

N (P )

,i.e. if

(s, t)

isanextremalpointof

N (P)

,then

M s,t ( G 1 ) 6 = ∅

. Itsuestoshow

thatif

M s 1 ,t 1 ( G n 1 )

and

M s 2 ,t 2 ( G n 2 )

arenon-emptyfor some

n 1

and

n 2

,then

M s 1+ s 2

2 , t 1+ 2 t 2 ( G m )

is also non-empty for some

m

. Indeed, by indution, this allows to prove existene of a Gibbs

measure of slope

(s, t)

for a dense subset of the Newtonpolygon. The proofis ended by using

theassumption thatthe set ofpossibleslopesis losed.

Withoutlossof generality,weanassumethat

n 1 = n 2

,otherwisetake thelmoftheir periods.

Considertwomathingsof

M s 1 ,t 1 ( G n )

and

M s 2 ,t 2 ( G n )

,respetively. Thesuperimpositionofthe two mathings being a set of disjoint alternating yles, one an hange from one mathingto

theotherbyrotatingalongtheyles. Iftheheight hanges

( ⌊ s 1 n ⌋ , ⌊ t 1 n ⌋ )

,

( ⌊ s 2 n ⌋ , ⌊ t 2 n ⌋ )

ofthe

two mathings areunequal, some ofthese yles have non-zero homology in

H 1 ( T 2 , Z )

,sothat

rotating along them will hange the height hange. On the toroidal graph

G 2n

, onsider four opies ofthetwo mathings andshift halfofthenon-trivial yles;thisreates anewmathing

with height hange

( ⌊ (s 1 + s 2 )n ⌋ , ⌊ (t 1 + t 2 )n ⌋ ) = ⌊ s 1 +s 2 2 2n ⌋ , ⌊ t 1 +t 2 2 2n ⌋

, thus proving that

M s 1+ s 2

2 , t 1+ 2 t 2 ( G m )

isnon-empty for

m = 2n

.

Let us now suppose that there exists a Gibbs measure

µ(s, t)

of slope

(s, t)

and prove that

(s, t) ∈ N (P )

. Denoteby

~ E 1

thesetofdiretededgesofthefundamentaldomain

G 1 = ( V 1 , E 1 )

.

Realling thatthe divergene

div

is alinearfuntionof ows,thesetof non-negative, white-to-blakunit ows denes apolytopeof

R ~ E 1

:

{ ω ∈ R ~ E 1 : ∀ wb ∈ E 1 , ω( b , w ) = 0, 0 ≤ ω( w , b ) ≤ 1; ∀ w ∈ W 1 , div ω( w ) = 1, ∀ b ∈ B 1 , div ω( b ) = − 1 } .

The mapping

ψ

whih assigns to a ow

ω

the total uxaross

γ x

and

γ y

isa linearmapping

fromthepolytopeto

R 2

,implyingthattheimage ofthepolytopeunder

ψ

istheonvexhull of

theimagesof the extremalpointsof thepolytope.

Now, from Setion 3.1, we know that every dimer onguration of

G 1

denes a non-negative, white-to-blakunitowtakingvaluesin

{ 0, 1 }

oneverydiretededgeof

~ E 1

. Theonversebeing also true, this implies that extremal points of thepolytope aregiven by dimer ongurations.

Sine therefereneow issuh that

(x 0 , y 0 ) = (0, 0)

,theimage ofa dimeronguration under

ψ

is its height hange. This means thatthe image of extremal pointsof the polytopeontains

the extremal points of the Newton polygon

N (P )

; the image of the polytope under

ψ

is thus

N (P )

.

TheGibbs measure

µ(s, t)

of slope

(s, t)

denesa non-negative, white-to-blak ow

ω µ(s,t)

:

∀ e = wb ∈ E 1 , ω µ(s,t) ( w , b ) = µ(s, t)( e ), ω µ(s,t) ( b , w ) = 0.

Sine

µ(s, t)

isaprobabilitymeasure,theow

ω µ(s,t)

hasdivergene1ateverywhitevertexand

-1ateveryblakvertex. Itthusbelongstothepolytopeanditsimageunder

ψ

belongsto

N (P )

.

Theproof isonluded byobserving thatthe image of

µ(s, t)

under

ψ

is theslope

(s, t)

.

Example 3.2. Figure3.7showstheNewtonpolygonofthedimermodelonthesquare-otagon

graph with weights 1 on the edges. Marked points represent monomials of the harateristi

polynomial

P (z, w) = 5 − z − 1 z − w − w 1

.

1 1

Figure 3.7: Newton polygon of the dimer model on the square-otagon graph with uniform

weights.

3.3.4 Surfae tension

For every

(s, t) ∈ N (P )

,let

Z s,t ( G n )

bethe partition funtion of

M s,t ( G n )

,thatis:

Z s,t ( G n ) = X

M ∈M s,t ( G n )

ν(M ).

Then, by denition, thefree energy ofthemeasure

µ(s, t)

is:

σ(s, t) = − lim

n →∞

1

n 2 log Z s,t ( G n ).

The funtion

σ : N (P ) → R

is knownas thesurfae tension. Sheeld [She05 ℄ provesthatit is stritly onvex.

Asa onsequene of this denition and of Theorem 13, one dedues thatthe measure

µ(s 0 , t 0 )

of Theorem13 isthe onewhih hasminimal freeenergy. Moreover, sine thesurfae tensionis

stritly onvex, the surfaetension minimizing slope isunique and equal to

(s 0 , t 0 )

.

3.3.5 Construting Gibbs measures

Theorem12ofSetion3.3.1provesanexpliitexpressionfortheGibbsmeasure

µ(s 0 , t 0 )

ofslope

(s 0 , t 0 )

. Our goalnow isto obtainanexpliit expressionfor theGibbsmeasures

µ(s, t)

withall

possibleslopes

(s, t)

.

ReallthatbyTheorem 13,theGibbsmeasure

µ(s, t)

isthelimit oftheonditionalBoltzmann

measures

µ n (s, t)

on

M s,t ( G n )

. The problem is that onditional measures are hard objets

to work with in order to obtain expliit expressions. But we know how to handle the full

Boltzmann measure, whih onverges to the Gibbs measure of slope

(s 0 , t 0 )

. So the idea to

avoidhandling onditionalmeasures isto modifytheweightfuntionon theedgesof

G n

insuh

a waythatmathings withanother slope than

(s 0 , t 0 )

get favored. Hene, we arelooking for a

weight funtion whih satisesthe following: thenew weight of a mathingis equal to theold

weight multipliedbyaquantity whih dependsonly on its height hange. This anbe done by

introduing magneti eld oordinates asfollows.

Reallthat

γ x,n

,

γ y,n

areorientedhorizontal and vertial yles inthe dualgraph

G ∗

n

obtained

by taking

n

times the basisvetor

e x

of the underlying lattie

Z 2

,

n

times the basisvetor

e y

respetively,embeddedonthetorus. Then,on

G ∗

n

thereare

n

horizontalopiesoftheyle

γ x,n

,

and

n

vertial opies of the yle

γ y,n

. Let

(B x , B y )

be two real numbers known as magneti

eld oordinates. Multiply all edges rossing the

n

opies of the horizontal yle

γ x,n

by

e ± B x

,

depending on whether the white vertex is on the left or on the right. In a similar way, edges

rossing the

n

opies of thevertial yle

γ y,n

are multipliedby

e ± B y

. This denes amagneti

altered weight funtion,denoted by

ν (B x ,B y )

satisfying our requirement. Indeed, let

M 0

be the

periodireferenemathingof

G n

,anddenoteby

x n 0

,

y 0 n

thetotaluxof

ω M 0

through

γ x,n

,

γ y,n

.

Then, arguing ina way similarto the proofof Lemma 8,one an express themagneti altered

weight funtion

ν (B x ,B y )

astheweight funtion

ν

,multiplied bya quantitywhih onlydepends

on theheight hange:

∀ M ∈ M ( G n ), ν (B x ,B y ) (M ) = ν(M)e nB x (h M x +x n 0 ) e nB y (h M y +y n 0 ) .

(3.8)

Let

P (B x ,B y ) (z, w)

betheharateristipolynomialofthegraph

G 1

orrespondingtothemagneti altered weight funtion. The key fat is that

P (B x ,B y ) (z, w)

an easily be expressed using the

harateristipolynomial

P (z, w)

ofthegraph

G 1

: expressing

P (B x ,B y ) (z, w)

usingLemma8and

replaing

ν (B x ,B y ) (M )

bythe right handside of (3.8)inthease where

n = 1

,yields:

P (B x ,B y ) (z, w) = P(e B x z, e B y w).

Let

Z (B x ,B y ) ( G n )

bethe partitionfuntionand

µ (B n x ,B y )

betheBoltzmannmeasureofthegraph

G n

withthemagneti alteredweight funtion. Denote by

µ (B x ,B y )

theGibbsmeasureobtained

asweak limit of the Boltzmann measures

µ (B n x ,B y )

. Then, asa diret orollaryof Theorems 11

and 12,we have:

So,itisquiteremarkablethattheresultsobtainedfortheweightfuntion

ν

alsoyieldtheresults

for themagneti alteredweight funtion

ν (B x ,B y )

.

Note that we have not yet related the magneti eld oordinates to the slope of the Gibbs

measure

µ (B x ,B y )

. Thisis postponeduntil Setion 3.4.2.

3.4 Phases of the model

In this setion, we desribe one of the most beautiful results on the bipartite dimer model

obtained byKenyon, Okounkovand Sheeld [KOS06 ℄,namely thefulldesriptionofthephase

diagramofthe dimermodel. Itinvolvesmagnetieldoordinatesandanobjetfromalgebrai

geometry alledHarnakurves.

A way to haraterize phases is by the rate of deay of edge-edge orrelations. In the dimer

model, this amountsto studying asymptotisof

K (B 1

x ,B y )

. Indeed, let

e 1 = w 1 b 1

and

e 2 = w 2 b 2

betwoedgesof

G

,whiharethoughtofasbeingfarawayfromeahother. Let

I e

betherandom variablewhihis

1

iftheedge

e

is present inadimeronguration, and

0

else. Then, usingthe

expliitexpression for theGibbsmeasure

µ (B x ,B y )

yields:

Cov( I e

1 , I e

2 ) = µ (B x ,B y ) ( e 1 , e 2 ) − µ (B x ,B y ) ( e 1(B x ,B y ) ( e 2 ),

= K (B x ,B y ) ( w 1 , b 1 )K (B x ,B y ) ( w 2 , b 2 )K (B 1

x ,B y ) ( b 2 , w 1 )K (B 1

x ,B y ) ( b 1 , w 2 ).

Theasymptotibehaviorof

K (B 1

x ,B y ) ( b , w + (x, y))

(as

x 2 +y 2

getslarge)dependsonthezerosof

thedenominatorontheunittorus,i.e. on thezeros of

P (e B x z, e B y w)

ontheunittorus. Hene,

thegoalis to studythe set:

{ (z, w) ∈ T 2 : P (e B x z, e B y w) = 0 }

,or equivalently,the set:

{ (z, w) ∈ C 2 : | z | = e B x , | w | = e B y , P (z, w) = 0 } .

Thisisthe subjetof thenextsetion.

3.4.1 Amoebas, Harnak urves and Ronkin funtion

Theamoeba of apolynomial

P ∈ C [z, w]

intwoomplex variables,denotedby

A (P )

,isdened

asthe image of the urve

P (z, w) = 0

in

C 2

underthemap:

(z, w) 7→ (log | z | , log | w | ).

When

P

is theharateristi polynomial of a dimer model, the urve

P(z, w) = 0

is knownas

thespetral urve of the dimer model. Note that a point

(x, y) ∈ R 2

isin theamoeba

A (P )

,if

and only if

| z | = e x , | w | = e y

,and

P (z, w) = 0

. Otherwise stated, a point

(x, y) ∈ R 2

is inthe amoeba ifand onlyifthepolynomial

P (e x z, e y w)

hasat leastone zeroonthe unittorus.

The theory of amoebas is a fresh and beautiful eld of researh. The paper What is ... an

amoeba? in the noties of the AMS, by Oleg Viro gives a very nie overview of the results

obtained over a period of 8 years by [FPT00 , GKZ94 , Mik00, MR01℄. It provides a preise

geometri piture of the objet, whih heavily depends on the Newton polygon

N (P )

of

Se-tion3.3.3. Loosely stated,an amoeba satisesthefollowing, seealso Figure3.8.

An amoeba reahes innity by several tentales. Eah tentale aommodates a ray and

narrows exponentiallyfast towardsit, sothatthere isonly one rayineahtentale.

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