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Preview Limit laws for embedded trees. Applications to the integrated superBrownian excursion

LIMIT LAWS FOR EMBEDDED TREES. APPLICATIONS TO THE INTEGRATED SUPERBROWNIAN EXCURSION MIREILLEBOUSQUET-MÉLOU 5 0 0 Abstra 0t. Westudythreefamiliesoflabelledplanetree0s,.1Inal−l1thesetrees,therootis 2 labelled ,andthelabelsoftwoadja entnodesdi(cid:27)erby or . n j ∈ONnepart ofthepaper isdevoted toenumerative results. For ea h family,and for all , we obtain losed form expressions for the following three generating fun tions: a j thegenerating fun tionoftrees havingnolabellargerthan ;the(bivariate) generating J j fun tion of trees, ounted by the number of edges and the number of nodes labelled ; 8 and (cid:28)nally the (bivariate) generating fun tion oftrees, ounted by the number of edges j 1 and the number ofnodes labelledat least . Strangely enough, allthese series turn out tobealgebrai , butwehaveno ombinatorialintuitionforthisalgebrai ity. ] Theother part ofthepaper isdevotedtoderivinglimitlawsfromtheseenumerative O n results. In ea h of our familiesof trees, we endow the trees of size with the uniform Mn C distribution,andXstnu(djy)thefollowingrandomvariablesj: ,tXhne+l(ajr)gestlabelo urringin . a(randomj )tree; ,thenumberofnodeslabelled ;and ,thenumberofnodes h labelled ormore. Weobtainlimitlawsfors aledversions oftheserandomvariables. at Finally,wetranslatetheabovelimitresultsintostatementsdealingwiththeintegrated m superBrownian ex ursion (ISE). In parti ular, we des ribe the law of the supremum of itssupport (thusre overing someearlierresultsobtained byDelmas),andthelawofits [ distribution fun tion at a given point. We also onje ture the law of its density (at a givenpoint). 1 v 6 6 2 1 1. Introdu tion 0 5 We study in this paper three families of labelled plane trees. In all these trees, the root 0 0,1 1 0 is labelled , and the labels of two adja ent nodes di(cid:27)er by or − . / h More pre isely, the (cid:28)rst family we onsider is th1e set of plane trees, and the in rements t of the labels along edges are onstrained to be ± . In the losely related se ond family, a 0, 1 m these in rements an be ± . The third family is a bit di(cid:27)erent. It is simply the set of (in omplete) binary trees, in whi h the nodes are labelled in a deterministi way: the label : v of a node is the di(cid:27)eren e between the number of right steps and the number of left steps i o urringinthepaththatyieldsfromtheroottothenodeunder onsideration. SeeFigure1 X for an illustration. We all this labelling the natural labelling of the binary tree. Note that r a the label of ea h node is simply its abs issa, if we draw the tree in the plane in su h a way the right(resp. left) sonofanode liesone unit to the right(resp. left) of its father. Forthis reason, we will sometimes all these labelled binary trees naturally embedded binary trees. Moregenerally,forany planelabelledtree,wemay onsiderthatthelabel ofea hnodetells Z where to embed it in ; hen e the title of the paper. n Inea hofthesethreefamilies,weendowthesetoftreeshavingagivensize(say, edges) with the uniform distribution. We address (via generating fun tions) the following three questions: Date:January 17,2005. MBMwaspartiallysupportedbytheEuropeanCommission'sIHRPProgramme,grantHPRN-CT-2001- 00272,(cid:16)Algebrai Combinatori sinEurope(cid:17). 1 2 MIREILLEBOUSQUET-MÉLOU 1 1 2 0 −2 1 0 −1 0 2 1 1 −1 1 1 0 −1 1 0 0 0 1 Figure 1. A labelled plane tree with in rements ± . (cid:22) A labelled tree 0, 1 with in rements ± . (cid:22) A naturally embedded binary tree. (1) What is the maximal label that o urs in the tree? This label is in fa t a random M M /n1/4 n n variable . Weprovethat onvergesindistributiontoarandomvariable N having a density. We give this density expli itly. We also ompute the moments N M /n1/4 N n of and prove the onvergen e of the moments of to those of . j X (j) n (2) How many nodes of the tree have label ? Let denote the orresponding j n randomvariable. If is(cid:28)xed,and goestoin(cid:28)nity,thentheanswertothisquestion j j Z X (j)/n3/4 n isindependent of . Weprovethatforany ∈ , thevariable onverges cT 1/2 c − in distribution to , where is a onstant depending on whi h family of trees T 2/3 we onsider, and follows a unilateral stable law of parameter . n1/4 Given that the maximal label grows like , we get a better insight on the n λn1/4 label distribution by asking how many nodes in a tree of size have label ⌊ ⌋. λ R X ( λn1/4 )/n3/4 n We prove that, for any ∈ , the random variable ⌊ ⌋ onverges Y(λ) in distribution to a limit variable . This variable admits a Lapla e transform, whi h we give expli itly. The onvergen e of the Lapla e transform, and of the moments, hold as well. We say we have obtained a lo al limit law for embedded trees, be ause we look at one value of the labels only. X+(j) (3) Finally, we also obtain a global limit law by studying the variable n that gives j X+(0)/n thenumberofnodeshavinglabel atleast. Remarkably,weprovethat n ,the (normalized)numberofnodeshavinganon-negativelabel, onvergestotheuniform [0,1] λ R X+(λn1/4)/n distributionon . Moregenerally,for ∈ ,thevariable n onverges Y+(λ) indistributiontoavariable . ThisvariableadmitsaLapla etransform,whi h wegiveexpli itly. On eagain, the onvergen eofthe Lapla etransform, and ofthe moments, hold as well. N Y(λ) Y+(λ) The laws of , and naturallydepend on whi h family of treeswe onsider,but only by a simple normalization fa tor. 1.1. Embedded trees and the integrated superBrownian ex ursion Why should one study su h labelled trees? The (cid:28)rst two lasses of trees we onsider have a lose onne tion with ertain families of n planar maps [6, 8, 11℄. In parti ular, the diameter of a random quadrangulation having fa es is distributed like the largest label in non-negative random trees of our se ond family. n1/4 (M m )n 1/4 n n − Moreover, on e s aled by , this diameter has the same limit law as − , M m n n where (resp. ) is the largest (resp. smallest) label o urring in a random tree of our se ond family [8℄. The third lass we study is the good old family of binary trees, and this may su(cid:30) e to motivate its study! More seriously, the three questions addressed above have, for binary M n trees, a natural geometri formulation. The random variable (the maximum label) tells usaboutthe(cid:16)truewidth(cid:17) ofabinarytree(asopposedtothemaximalnumberofnodeslying √n X (j) n at the samelevel, whi h isknownto growlike ). More generally, the variables tell LIMIT LAWS FOR EMBEDDED TREES 3 2 2 4 2 1 1 4 2 3 3 2 4 1 2 0 1 −2 −1 0 1 2 3 [1,2,4,3,2] Figure2. An(in omplete)binarytreehavinghorizontalpro(cid:28)le [2,2,4;2,1,1] and verti al pro(cid:28)le . us about the verti al pro(cid:28)le of the tree (as opposed to the horizontal pro(cid:28)le whi h des ribes the repartition of nodes by level [13℄). See Figure 2. We may also invoke an a posteriori justi(cid:28) ation to the study of these trees: the form of the generating fun tions we obtain is remarkable,whatever family of trees we onsider, and suggests that there must be some beautiful hidden ombinatori s in these problems, whi h should be explored further. However, the main motivation for this work is the onne tion between embedded trees and theintegrated superBrownian ex ursion (ISE). Chooseoneof thethreefamiliesoftrees, R and onsider the following random probability distribution on : 1 µ = X (j)δ , n n+1 n cjn−1/4 (1) j Z X∈ X (j) j δ x n x where isthe(random)numberofnodeslabelled , denotestheDira measureat , c √2 √3 1 and the onstant equals forthe (cid:28)rst family, forthese ondoneand forthefamily µ n of binary trees. Then is known to onverge weakly to a limiting random probability µ n distribution alled the ISE [1, 23, 22, 20℄. See Figure 3 for simulations of . Our limit results provide some information about the law of the ISE. For instan e, we cM n 1/4 µ n − n provethat , the largest point having a positive weight under , onvergesin law 200 200 200 200 150 150 150 150 100 100 100 100 50 50 50 50 –15 –10 –5 0 5 10 15 20 –15 –10 –5 0 5 10 15 20 –15 –10 –5 0 5 10 15 20 –15 –10 –5 0 5 10 15 20 200 200 200 200 150 150 150 150 100 100 100 100 50 50 50 50 –15 –10 –5 0 5 10 15 20 –15 –10 –5 0 5 10 15 20 –15 –10 –5 0 5 10 15 20 –15 –10 –5 0 5 10 15 20 X (j) j n=1000 n Figure 3. The plot of vs. for random binary trees with nodes. 4 MIREILLEBOUSQUET-MÉLOU N to ise, the supremum of the support of the ISE. We denote this by cMnn−1/4 d N . → ise M n 1/4 n − The results we obtain for the limit law of thus translate into expressions of the moments, distribution fun tion and density of the supremum of the ISE. Note that the moments were already obtained by Delmas [12℄. Our se ond limit result deals with the X ( λn1/4 ) n random variables ⌊ ⌋ . Observe that 1 µ (cλ cn 1/4,cλ]= X ( λn1/4 ). n − n − n+1 ⌊ ⌋ (2) Y(λ) This leads us to onje ture that the random variable involved in our lo al limit law satis(cid:28)es d Y(λ)=cf (cλ) ise (3) f where ise is the (random) density of the ISE. Similarly, 1 µ [cλ,+ )= X+( λn1/4 ), n ∞ n+1 n ⌈ ⌉ Y+(λ) and we prove that the random variable involved in our global limit law satis(cid:28)es Y+(λ)=d g (cλ) ise g where iseYis(tλh)e(ranYd+om(λ))taildistributionfun tionoftheISE.Theresultsweobtainfabo(λu)t thelawsof and thustranslateintoformulasfortheLapla etransformsof ise g (λ) f (λ) and ise (the formufla for ise being onje tural). Y(λ/c)/c Our onje ture on ise is naturally supported by the fa t that the law of is independent of the tree family we start from. This is one of the reasons why we onsider as manyasthreefamiliesoftrees. Theotherreasonsinvolvethe onne tionswithplanarmaps, the remarkable form of the generating fun tions we obtain, and our unshakeable interest in binary trees. The details of the al ulations are only given for the (cid:28)rst of the three families (Se tions 2 to 5), while the results are merely stated for the other two families (Se tion 6). Let us (cid:28)nally mention that the moments of the enter of mass of the ISE have re ently been determined by two di(cid:27)erent approa hes[7, 19℄. In ourdis rete setting, this boils down to studying the onvergen e of the variable 1 jX (j). n5/4 n j Z X∈ 1.2. Overview of the paper The starting point of our approa h is a series of exa t enumerative results dealing with 1 our (cid:28)rst lass of trees: plane trees in whi h the labels of adja ent nodes di(cid:27)er by ± . These results are gathered in the next se tion. We obtain for instan e an expli it expression for the bivariate generating fun tion of labelled trees, ounted by the number of edges and the j j number of nodes labelled (for (cid:28)xed). This se tion in ludes, and owes a lot to, some resultsre entlyobtained by Bouttier, Di Fran es oand Guitter [5,6℄on theenumerationof j trees having no label greater than . This part of our work raises a number of hallenging ombinatorialquestions(cid:22) why aretheseexpressionssosimple? (cid:22) whi harenotaddressed in this paper. M X ( λn1/4 ) X+(λn1/4) The limit behaviours of the random variables n, n ⌊ ⌋ and n are re- spe tively established in the next three se tions (Se tions 3 to 5). The main te hnique that we use is the (cid:16)analysis of singularities(cid:17) of Flajolet and Odlyzko [17℄. It permits to extra t the asymptoti behaviour of the oe(cid:30) ients of a generating fun tion. This te hnique has already proved useful in numerous o asions, in parti ular for proving limit theorems that aresimilarin(cid:29)avourtotheonesobtainedinthispaper: thesetheoremsdealwiththeheight of simply generated trees and their pro(cid:28)le, whi h are known to be related to the height of LIMIT LAWS FOR EMBEDDED TREES 5 the Brownian ex ursion and its lo al time [16, 13℄. This te hnique is arefully exempli(cid:28)ed in Se tion 3 (whi h is devoted to the maximal label) before the more di(cid:30) ult questions of the lo al and global limit laws are atta ked (Se tions 4 and 5). Finally, two other families of trees are brie(cid:29)y studied in Se tion 6: trees with in rements 0, 1 ± and naturally embedded binary trees. The emphasis is put on their enumerative properties, whi h turn out to be as remarkable and surprising as those of our (cid:28)rst family of trees. The limit laws we obtain are (up to a s alar) the same as for the (cid:28)rst family. Let us on lude with some notation and a few de(cid:28)nitions on formal power series and K K[t] t generating fun tions. Let be a (cid:28)eld. We denote by the ring of polynomials in with K K(t) t K oe(cid:30) ients in , and by the (cid:28)eld of rational fun tions in with oe(cid:30) ients in . We K[[t]] t K A(t) K[[t]] denote by the ring of formal power series in with oe(cid:30) ients in . If ∈ n N [tn]A(t) tn A(t) A(t) and ∈ , the notation stands for the oe(cid:30) ient of in . The series K(t) is said to be algebrai over if it satis(cid:28)es a non-trivial polynomial equation of the form P(t,A(t)) = 0 P K , where is a bivariate polynomial with oe(cid:30) ients in . In this ase, the A(t) P degree of is the smallest possible degree of (in its se ond variable). Let A be a set of dis rete obje ts, equipped with a size that takes nonnegative integer n N n values. Assume that for all ∈ , the number of obje ts of A of size is (cid:28)nite, and denote a n this number by . The generating fun tion of the obje ts of A, ounted by their size, is the formal power series A(t)= a tn. n n 0 X≥ The above notions generalize in a straightforward way to multivariate power series. Su h series arise naturally when enumerating obje ts a ording to several parameters. 2. Enumerative results We onsider in this se tion (and in the three following ones) our (cid:28)rst family of labelled 0 1 plane trees: the root is labelled , and the labels of two adja ent nodes di(cid:27)er by ± . 2.1. Trees with small labels The (cid:28)rst enumerative problem we address has already been studied by Bouttier, Di j N Fran es o and Guitter [5, 6℄. It deals with the largest label o urring in a tree. For ∈ , T T (t) j j let ≡ be the generating fun tion of labelled trees in whi h all labels are less than j t T T(t) or equal to . The indeterminate keeps tra k of the number of edges. Let ≡ be the T T j generating fun tion of all labelled trees. Clearly, onverges to (in the spa e of formal t j power seriesin ) as goesto in(cid:28)nity. It is very easyto des ribe an in(cid:28)nite set of equations T j that ompletely de(cid:28)nes the olle tion of series . T Lemma 1. The series satis(cid:28)es T =1+2tT2. (4) j 0 More generally, for ≥ , T =1+t(T +T )T j j 1 j+1 j − T =0 j <0 j while for . Proof. The two ingredients of the proof will be useful for the other enumerative problems k j k T j weaddressbelow. Firstly,repla ingea hlabel by − showsthat isalsothegenerating j fun tionoftreesrootedat andhavingonlynon-negativelabels(wesaythatatreeisrooted j j at if its root has label ). Se ondly, onsidersu h a tree and assumeit is not redu ed to a single node. The root has a leftmost hild, whi h is the root of a labelled subtree, rooted at j 1 ± and havingonly non-negativelabels. Deleting this subtree leavesasmallertree rooted j at , having only non-negativelabels (see Figure 4). The result follows. 6 MIREILLEBOUSQUET-MÉLOU T T j±1 T j j = + j 1 j ± j j Figure 4. The de omposition of plane labelled trees. T The above lemma shows that the series , ounting labelled trees by edges, is algebrai , and the short proof we have given provides a simple ombinatorial explanation for this T j property. What is far less lear (cid:22) but nevertheless true (cid:22) is that ea h of the series is algebrai too, as stated in the proposition below, whi h we borrow from [5, 6℄. These series T T(t) will be expressed in terms of the series ≡ and of the unique formal power series Z Z(t) 0 ≡ , with onstant term , satisfying (1+Z)4 Z =t . 1+Z2 (5) T Z Observe that and are related by: (1+Z)2 T = . 1+Z2 (6) T T (t) j j Proposition2 (Trees with smalllabels [5,6℄). Let ≡ be the generatingfun tion j T 2 j of trees having no label greater than . Then is algebrai of degree (at most) . In parti ular, T =1 11t t2+4t(3+2t)T 16t2T 2. 0 0 0 − − − j 1 Moreover, for all ≥− , (1 Zj+1)(1 Zj+5) T =T − − , j (1 Zj+2)(1 Zj+4) (7) − − Z Z(t) where ≡ is given by (5). T j Proof. Itisveryeasyto he k,using(5(cid:21)6),thattheabovevaluesof satisfythere urren e T = 0 1 relation of Lemma 1 and the initial ondition − . How to dis over su h a formula T j is another story, whi h is told in [5℄. The remarkable produ t form of still awaits a ombinatorial explanation. T T Z j = 0 0 The equation satis(cid:28)ed by is obtained by eliminating and from the ase j T j of (7). Then an indu tion of , based on Lemma 1, implies that ea h is quadrati (at Q(t) most) over . Remarks T Q(t) Z 1. The produ t form (7), ombined with the fa ts that is quadrati over and is Q(T) T Q(t) 4 j quadrati over ,showsthat belongstoanextensionof ofdegree . Thisistrue, T Q(t) j but not optimal, sin e is a tually quadrati over . Hen e this produ t form does not T j give the best possible information on the degree of . T 0 2. The trees ounted by (equivalently, the trees having only non-negative labels) are knowntobeinbije tionwith ertainplanarmaps alledEuleriantriangulations[6℄. Through this bije tion, the number of edges of the tree is sent to the number of bla k fa es of the triangulation. These triangulations are nothing but the dual maps of the bi ubi (that is, LIMIT LAWS FOR EMBEDDED TREES 7 bipartite and trivalent) maps, whi h were (cid:28)rst enumerated by Tutte [26℄. In parti ular, the T (t) 0 oe(cid:30) ients of are remarkably simple: (1 8t)3/2 1+12t+8t2 3.2n 1 2n T (t)= − − =1+ − tn. 0 32t2 (n+1)(n+2) n n 1 (cid:18) (cid:19) X≥ j 2.2. The number of nodes labelled j Z S S (t,u) j j Letusnowturnourattentiontoabivariate ountingproblem. For ∈ ,let ≡ t bethegeneratingfun tionoflabelledtrees, ountedbythenumberofedges(variable )and j u S (t,1)=T(t) j j the number of nodes labelled (variable ). Clearly, for all . Moreover, an S =S j j obvious symmetry entails that − . j =0 Lemma 3. For 6 , S =1+t(S +S )S j j 1 j+1 j − (8) j =0 while for , S =u+t(S +S )S =u+2tS S . 0 1 1 0 1 0 − (9) S S (t,u) j j Proof. Observethat ≡ is alsothe generatingfun tion of labelled treesrootedat j 0 , ounted by the number of edges and the number of nodes labelled . The de omposition of trees illustrated in Figure 4 then provides the lemma. The only di(cid:27)eren e between the j =0 j =0 ases and 6 lies in the generating fun tion of the tree redu ed to a single node. S (t,u) j Again, the series turn out to be algebrai , for reasons that urrently remain mysterious(fromthe ombinatori sviewpoint). They anbeexpressedintermsoftheseries T Z and given by (5(cid:21)6). j j Z Proposition 4 (The number of nodes labelled ). For any ∈ , the generating S S (t,u) j j fun tion ≡ that ounts labelled trees by the number of edges and the number of j Q(T,u) 3 nodes labelled is algebrai over of degree at most (and hen e has degree at most 6 Q(t,u) over ). More pre isely, (T S )2 2(1 T2) 0 − =1 − , (u 1)2 − 2+S S T (10) 0 0 − − S Q(t,u,S ) j 0 j 0 and all the belong to . Moreover, for all ≥ , (1+µZj)(1+µZj+4) S =T , j (1+µZj+1)(1+µZj+3) (11) Z Z(t) µ µ(t,u) t where ≡ is given by (5) and ≡ is the unique formal power series in satisfying (1+Z2)(1+µZ)(1+µZ2)(1+µZ3) µ=(u 1) . − (1+Z)(1+Z+Z2)(1 Z)3(1 µZ2) (12) − − µ(t,u) u µ(t,1) = 0 3 The series has polynomial oe(cid:30) ients in , and satis(cid:28)es . It has degree Q(Z,u) 12 Q(t,u) over and over . µ Z At some point, we will need a losed form expression for in terms of . Here is one. Proposition 5. Write (u 1)Z(1+Z2) v = − . (1+Z)(1+Z+Z2)(1 Z)3 − µ S j Then the algebrai series involved in the expression (11) of , and de(cid:28)ned by (12), is 1 2 µ(t,u)= 1 Z2 1+v(1 Z)2/3+2/3 3+v2(1 Z)4cos(φ/3) − ! − − p 8 MIREILLEBOUSQUET-MÉLOU where 9v(1+4Z+Z2)+v3(1 Z)6 φ=arccos − − . (3+v2(1 Z)4)3/2 (cid:18) − (cid:19) S ,S ,S ,... 1 0 1 2 Proof of Propositions 4 and 5. First, observe that the family of series is j > 0 ompletely determined by (8) (taken for ) and the se ond part of (9). The fa t that µ Q(u)[[t]] j >0 for any series ∈ , the expression (11) satis(cid:28)es (8) for all is a straighforward t T Z veri(cid:28) ation, on e and have been expressed in terms of (see (5) and (6)). The form S j of (11) is borrowed from [5℄. In order for (11) to be the orre t expression of , it remains tosatisfythese ondpartof (9). Thislast onditionprovidesapolynomialequationrelating µ T Z t u t T Z , , , and . In this equation,repla e and by their expressionsin terms of (given µ 6 Q(T,u) by (5(cid:21)6)). Thisgivesexa tly (12). It anbe easily he kedthat hasdegree over 12 Q(t,u) and degree over . S µ Z 0 Theequation(10)satis(cid:28)edby isobtainedby eliminating and (using (12)and (6)) S 6 Q(t,u) 0 from the expression (11) of . This equation gives an equation of degree over if T one eliminates thanks to (4). j j 1 Nowtheequations(9),(8)and(4), ombinedwithanindu tionon ,implythatfor ≥ , S Q(T,u,S ) j 0 the series belongs to the (cid:28)eld , whi h has just been proved to be an extension Q(T,u) 3 of of degree . This on ludes the proof of Proposition 4. µ Let us (cid:28)nally prove Proposition 5. The equation (12) that de(cid:28)nes an be rewritten v (1+µZ)(1+µZ2)(1+µZ3) µ= . Z 1 µZ2 − µ v Z Hen e is the unique formal powerseriesin (with rational oe(cid:30) ients in ) that satis(cid:28)es 0 v 0 the above equation and equals when is . It is not hard to he k that the losed form expression we give satis(cid:28)es these two onditions. Remarks 1. The produ tform(11)ofProposition4re(cid:28)nestheprodu tform(7)thatdealswithtrees u=0 µ= 1 S (t,0) j with smalllabels. Indeed, when , Eq. (12) gives − , and the expressionof T (t) j 1 oin ides, as it should, with the expression of − given by Proposition 2. S 0 2. Thereexistsanalternativewaytoderiveanequationfor fromthesystemofLemma3. Aswasobservedin[6, p. 645℄fortheproblemof ountingtreeswithbounded labels,Eq.(8) j 1 implies that for ≥ , I(S ,S )=I(S ,S ) j 1 j j j+1 − I where the (cid:16)invariant(cid:17) fun tion is given by I(x,y)=xy(1 tx)(1 ty)+txy x y. − − − − S T j t j But onvergesto as goestoin(cid:28)nity,inthesetofformalpowerseriesin . Thisimplies I(S ,S )=I(T,T). 0 1 S S T t 1 0 Eliminating between the above equation and (9) gives an equation between , and . j 2.3. The number of nodes labelled or more j Z R R (t,u) j j Letus (cid:28)nally study ourthird and last enumerationproblem. For ∈ , let ≡ t bethegeneratingfun tionoflabelledtrees, ountedbythenumberofedges(variable )and j u the number of nodes labelled at least (variable ). 1 All the al ulations in this paper have been done using Maple. We do not re ommend the reader to he kthembyhand. LIMIT LAWS FOR EMBEDDED TREES 9 R ,R ,R ,... 0 1 2 Lemma 6. The set of series is ompletely determined by the following equa- j 1 tions: for ≥ , R =1+tR (R +R ) j j j 1 j+1 − (13) and R (t,u)=uR (tu,1/u). 0 1 (14) j Z More generally, for all ∈ , one has: R (t,u)=uR (tu,1/u). j j+1 − (15) j Z R R (t,u) j j Proof. For all ∈ , the series ≡ is alsothe generatingfun tion of treesrooted j at , ountedbytheirnumberofedgesandthenumberofnodeshavinganon-positivelabel. j j 1 The equation satis(cid:28)ed by , for ≥ , follows on e again from the de omposition of trees τ illustrated in Figure 4. It remains to prove the symmetry relation (15). For any tree , n (τ) τ 0 let ≤ denote the number of nodes of having a non-positive label. We use similar j j,n notations for the number of nodes having label at most , et . Let T denote the set of j n trees rooted at and having edges. As observed above, R j(t,u)= tn un≤0(τ) = tn un+1−n>0(τ), − nX≥0 τ∈XT−j,n nX≥0 τ∈XT−j,n n n+1 1 be auseatreewith edgeshasatotalof nodes. Atranslationofalllabelsby− gives R j(t,u)=u (tu)n u−n≥0(τ), − nX≥0 τ∈TX−j−1,n k k while repla ing ea h label by − (cid:28)nally gives R j(t,u)=u (tu)n u−n≤0(τ) =uRj+1(tu,1/u). − nX≥0 τ∈XTj+1,n R T j Again, the series are algebrai , and admit a losed form expression in terms of and Z . j j Z Proposition 7 (The number of nodes labelled or more). Let ∈ . The generating R (t,u) R j j fun tion ≡ that ounts labelled trees by the number of edges and the number of j 2 Q(T(t),T(tu)) nodes labelled or more is algebrai of degree at most over . Hen e it has 8 Q(t,u) Q(T(t),T(tu)) degree at most over . More pre isely, it belongs to the extension of generated by (T +T˜)2 4TT˜(T 1)(T˜ 1) − − − T T(t) T˜ T(tuq) where ≡ and ≡ . j 0 Moreover, for all ≥ , (1+νZj)(1+νZj+4) R =T , j (1+νZj+1)(1+νZj+3) (16) Z Z(t) ν ν(t,u) t where ≡ is given by (5) and ≡ is a formal power series in , with polynomial u 4 Q(u,Z) 16 Q(t,u) oe(cid:30) ients in , whi h is algebrai of degree over , and of degree over . ν(t,1)=0 This series satis(cid:28)es . The (cid:28)rst terms in its expansion are: ν(t,u)=(u 1) 1+2ut+ 7u+6u2 t2+ 32u+36u2+23u3 t3+O(t4) . − (cid:16) (cid:0) (cid:1) (cid:0) (cid:1) ν (cid:17) ν Before we prove this proposition, let us give something like a losed form for . Sin e Q(u,Z) Z Q(t) ν hasdegree4over ,and hasdegree4over , theseries isin theoryexpressible in terms of radi als... It turns that this expression is less terrible than one ould fear. 10 MIREILLEBOUSQUET-MÉLOU t Proposition 8. De(cid:28)ne the following four formal power series in with polynomial oe(cid:30)- u ients in : Z(1+Z2) 1 8tu δ δ(t,u)=1 8(u 1) = − , ≡ − − (1 Z)4 1 8t − − 1 √δ 1− 11−88ttu V V(t,u)= − = − , ≡ 4 q4 4ZV2 ∆ ∆(t,u)=(1 V)2 , ≡ − − (1+Z)2 and 1 V √∆ P =(1+Z) − − . 2VZ P 16 Q(t,u) 2 Q(V,Z) Then has degree over , degree over , and satis(cid:28)es the following (cid:16)La- grangian(cid:17) equation: V P = (1+P)(1+ZP). 1+Z ν R j Moreover, the algebrai series involved in the expression (16) of is P 1 P(1+Z) P2(1+Z+Z2) ν = − − . Z 1+Z+Z2+PZ(1+Z) P2Z2 − Proof of Proposition 7. We have already he ked, in the proof of Proposition 4, that for ν t j 0 any formal power series in , the series de(cid:28)ned by (16) for ≥ satisfy the re urren e j 1 ν relation (13) for ≥ . It reAmaints to prove that one an hoose u so as to satisfyA˜(14). For anAy˜(tf,ourm)=alAp(otwue,r1/suer)ies in havinA˜˜g=raAtional oe(cid:30) ients in , wRe denote by the j series . Observe that . With this notation, if is of the generi form (16), the relation (14) holds if and only if T˜ (1+νZ)(1+νZ3)(1+ν˜Z˜)(1+ν˜Z˜5) 1+ν =u . T (1+νZ4)(1+ν˜Z˜2)(1+ν˜Z˜4) (17) R [u] u m Let denote the spa e of polynomials in , with real oe(cid:30) ients, of degree at most m R [u][[t]] t u n . Let denote the set of formal power series in with polynomial oe(cid:30) ients in m n tm m su h that forall ≤ , the oe(cid:30) ient of has degreeat most . Observethat this set of seriesin stable underthe usualoperationson series: sum, produ t, and quasi-inverse. Write ν = ν (u)tn n n≥0 n ν (.uW) earegoingtoprove,byindu tiononR, th[aut](17)determinesuniquely n n+1 ea hP oe(cid:30) ient , and that this oe(cid:30) ient belongs to . ν u+O(t) First, observe that for any formal power series , the right-hand side of (17) is . ν (u)=u 1 m<n 0 This implies − . Now assume that our indu tion hypothesis holds for all . Z t νZ R [u][[t]] n Re all that is a multiple of : this implies that belongs to . The indu tion tm uν˜ R [u] m < n m+1 hypothesisZ˜al=soZim(tup)lie=sttuha+tOth(te2) oe(cid:30) ient of tin ubelongs to ,Rfor[ua]l[l[t]] . n Notethat ν˜Z˜ R [u][[its]]amultipleof and andalsobelongsto . This n implies that belongs to tooT. ,TT˜h,eZs,aZ˜me is true for all the other series o urring in the right-hand side of (17), namely . Given the losure properties of the set R [u][[t]] u n , we on lude thZat theZ˜right-hand side oft(17), divided by , belongs to thistnset. Moreover, the fa t that and are multiples of guarantees that the oe(cid:30) ient of in ν (u) i < n tn i this series only involves the for . By extra ting the oe(cid:30) ient of in (17), we ν (u) uR [u] R [u] n n n+1 on lude that is uniquely determined and belongs to ⊂ . ν This ompulet=es1the proofTo˜f=thTe existZe˜n= eZand uniqueness of the series νs(att,is1f)y=ing0(17). Also, setting (that is, and ) in this equation shows that . t tu u 1/u Let us now repla e by and by in (17). This gives: 1 T (1+ν˜Z˜)(1+ν˜Z˜3)(1+νZ)(1+νZ5) 1+ν˜= . u T˜ (1+ν˜Z˜4)(1+νZ2)(1+νZ4) (18)

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