The cut-and-graft bound (Lemma lem:cut_graft) #
Source lines 2512β2546 (statement) and 2557β2621 (proof); inventory L6.1, P18.
Let π be an event on finite plane trees, (π _m)_{m β I} a finite family of events with
π(π― β π _m) > 0, π‘ β π_β and Ο : π‘ β I such that
(a) A[S'] β π for every A β π‘ and S' β π _{Ο(A)}, and
(b) whenever |T| β₯ β+1, T β π and T_{u_{β+1}(T)} β π, one has Cut_β(T) β π‘ and
T_{u_{β+1}(T)} β π _{Ο(Cut_β(T))}. Then
π(|π―| β₯ β+1, π― β π, π―_{u_{β+1}(π―)} β π) β€ π(π― β π) max_{m β I} π(π― β π | π― β π _m).
PlaneTree.lem_cut_graft: the statement inββ₯0β, with conditional probabilities given byProbabilityTheory.condand the maximumFinset.univ.sup'over a nonempty finite index typeI(the paper writesmax_{m β I}without statingI β β; all its applications haveI = {0}orI = {0, β¦, k}).PlaneTree.lem_cut_graft_real: the same inequality between real probabilities, whose left-hand side is the paper'sA_n(β)set (cf.PoissonDeclumping.pairProb).PlaneTree.cut_graft_bound_aux: the core weighted estimate, for an arbitrary index type and a total selector, with any constantcsuch thatπ(π β© π _m) β€ c π(π _m).
The proof is the paper's: by the cut-and-graft factorization π(π― = A[S]) = w(A) π(π― = S),
the left-hand side is at most β_{A β π‘} w(A) π(π β© π _{Ο(A)}), while uniqueness of the
decomposition and (a) give β_{A β π‘} w(A) π(π _{Ο(A)}) β€ π(π). (The paper groups the sum by
m through W_m = β_{Ο(A) = m} w(A); we sum over A directly.)
The inequality holds for every offspring law ΞΌ: criticality and ΞΌ_1 β 1 (which make
bienayme ΞΌ a probability measure) are not needed, so they are not assumed.
Core estimate of Lemma lem:cut_graft (total selector Ο, arbitrary index type, and any
constant c with π(π β© π _m) β€ c π(π _m) for all m).
The event {|T| β₯ β+1, T β π, T_{u_{β+1}(T)} β π} written with fringeTrees[β]?
(as in PoissonDeclumping.pairProb) or with fringeAt.
Lemma lem:cut_graft (cut-and-graft bound, source lines 2512β2546). Here β is any
natural number (the paper fixes β β₯ 1), fringeAt T β = T.fringeTrees[β] is
T_{u_{β+1}(T)}, π_β = cutFamily β, A[S] = A.graft S, and the index type I is finite and
nonempty. The bound holds for the BienaymΓ© measure of any offspring law.
Lemma lem:cut_graft, real-valued form: the left-hand side is the paper's
A_n(β)-type probability π(|π―| β₯ β+1, π― β π, π―_{u_{β+1}(π―)} β π).