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. 2023;401(1):435-496.
doi: 10.1007/s00220-023-04641-9. Epub 2023 Jan 31.

Historical Lattice Trees

Affiliations

Historical Lattice Trees

Manuel Cabezas et al. Commun Math Phys. 2023.

Abstract

We prove that the rescaled historical processes associated to critical spread-out lattice trees in dimensions d>8 converge to historical Brownian motion. This is a functional limit theorem for measure-valued processes that encodes the genealogical structure of the underlying random trees. Our results are applied elsewhere to prove that random walks on lattice trees, appropriately rescaled, converge to Brownian motion on super-Brownian motion.

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Conflict of interest statement

Conflict of interestThe authors have no conflict of interest to declare that are relevant to the content of this article.

Figures

Fig. 1
Fig. 1
A (nearest neighbour) lattice tree in 2 dimensions
Fig. 2
Fig. 2
The MVP X5(1) assigns masses to points in the tree at distance 5 from the root, while H5(1) assigns the same masses to paths in the tree leading to these points
Fig. 3
Fig. 3
On the left is the index set I drawn (with labels as edges) up to and including generation 3. On the right is an example of a Galton–Watson tree (with edge labels α), where eα=0 for all α{000,0010,0011,01}, while eα=2 for α{0,00,001}. Note that we have dropped the parentheses and commas in the notation for elements of I to declutter the pictures
Fig. 4
Fig. 4
A (binary) branching Brownian motion in 1-dimension, with time on the x axis, drawn up to the third branch time, 3/n. In the corresponding G–W tree, the root 0 has two children, exactly one of which has 2 children
Fig. 5
Fig. 5
A depiction of a shape ϝΣ4 with vertex labels above vertices and edge labels in brackets. The set of edges in the path from vertex 0 to vertex 1 is E1(ϝ)={1,5,6}. Variables ui are associated to each of the vertices i, describing a ‘length’ from 0 to i, to form T(ϝ,u). Differences in these ui are then the “edge lengths”
Fig. 6
Fig. 6
The tree T(ϝ,u) together with times s. The (m(1)=7) symbols represent times s1(1),,s7(1). Similarly symbols represent times sj(2) (with m(2)=6) and symbols represent times sj(3) (with m(3)=3) respectively. In this example there is one point (on edge 5) that is both square and triangle simultaneously. The ‘subinterval’ lengths sˇ5,i are indicated for edge 5
Fig. 7
Fig. 7
On the left is (part of) a GW tree with β1,β2,β3 indicated. Here |β1|=|β5|=2, |β2|=|β3|=3, and |β4|=1, and this contributes to (2.13) when t2,t3[3/n,4/n) and t1[2/n,3/n) as depicted. On the right is the corresponding tree shape. The edge lengths associated to the latter are determined by taking differences of the ue, where u4=1/n, u5=2/n, u1=t1, u2=t2, u3=t3
Fig. 8
Fig. 8
A depiction of the event in the detailed 1-particle function with n=1, t=6, s1=1 and s2=4, with the path sws(6,x3) in bold (recall the notation from (1.1))
Fig. 9
Fig. 9
A depiction of the event in the 3-particle function ρ(3,3,6)(y1,y2,y3)
Fig. 10
Fig. 10
An example of a marked skeleton network from a shape ϝΣ4. Branch points and leaves are , marked points are
Fig. 11
Fig. 11
A graph Γ on a marked skeleton network N+, with b denoting the branch point nearest to the root. The rightmost bond is in R since it covers two special points. Also, ΓEN+b since Ab(Γ) (highlighted) contains a neighbour of a marked point
Fig. 12
Fig. 12
A skeleton network N+ with a bond in R. This bond has endpoints in the marked edge eˇN+ and the “phantom” marked edge eˇN++ of lengths nˇeˇ=6 and nˇeˇ=0 respectively. We write st(eˇ,eˇ,mˇeˇ,mˇeˇ) for this bond. Here, mˇeˇ=2 is indicated, while mˇeˇ=0. The set of marked edges Eeˇ,eˇ+ on the path from eˇ to eˇ is {f1,f2} from formula image to formula image and formula image to formula image as indicated

References

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