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6011a54 verified

Indeed, in that case the liminf of the quantities in the left-hand side of (6.2) are greater than or equal to the right-hand side, for any choice of the forest $\mathcal{F}_k$. As the sum of the quantities on the right-hand side of (6.2) over these choices is equal to 1, necessarily the desired convergence holds.

Let us thus show (6.5). Set $\varphi(l) := 4^{-l}C(l)$. We have

As=l=2k+1φ(l)φ(p)q=0pPl(2k+1)(Ys=q)Pmk(Ysr=pq).A_s = \sum_{l=2k+1}^{\infty} \frac{\varphi(l)}{\varphi(p)} \sum_{q=0}^{p} P_{l-(2k+1)}(Y_s=q) P_{m_k}(Y_{s-r}=p-q).

First, as $\theta$ is a critical offspring distribution, we get from [26] that, for any $q \ge 0$,

Pmk(Ysr=pq)Pmk(Ys=pq)s1.\frac{P_{m_k}(Y_{s-r} = p-q)}{P_{m_k}(Y_s = p-q)} \xrightarrow{s \to \infty} 1.

Thus, for any $l \ge 2k+1$, for every $\varepsilon > 0$, for any sufficiently large $s$,

q=0pPl(2k+1)(Ys=q)Pmk(Ysr=pq)(1ε)q=0pPl(2k+1)(Ys=q)Pmk(Ys=pq)(1ε)Pl(2k+1)+mk(Ys=p). \begin{align*} \sum_{q=0}^{p} P_{l-(2k+1)}(Y_s=q) P_{m_k}(Y_{s-r}=p-q) &\ge (1-\varepsilon) \sum_{q=0}^{p} P_{l-(2k+1)}(Y_s=q) P_{m_k}(Y_s=p-q) \\ &\ge (1-\varepsilon) P_{l-(2k+1)+m_k}(Y_s=p). \end{align*}

This implies that:

As(1ε)l=2k+1φ(l)φ(p)Pl(2k+1)+mk(Ys=p).A_s \ge (1 - \varepsilon) \sum_{l=2k+1}^{\infty} \frac{\varphi(l)}{\varphi(p)} P_{l-(2k+1)+m_k} (Y_s = p).

Now, from the asymptotics of $C(l)$, we have that, for some $l_0 \ge 0$, for any $l \ge l_0$, we have

φ(l)(1ε)φ(l(2k+1)+mk),\varphi(l) \ge (1 - \varepsilon)\varphi(l - (2k + 1) + m_k),

so that,

As(1ε)2l=mkl0φ(l)φ(p)Pl(Ys=p).A_s \ge (1 - \varepsilon)^2 \sum_{l=m_k \lor l_0}^{\infty} \frac{\varphi(l)}{\varphi(p)} P_l(Y_s = p).

Recall that $\varphi(l) = lh(l)$, which yields:

As(1ϵ)2l=mkl0ph(l)h(p)Pl(Ys=p)=(1ϵ)2(1l=0mkl0p1h(l)h(p)Pl(Ys=p)), \begin{align*} A_s &\ge (1-\epsilon)^2 \sum_{l=m_k \lor l_0 \lor p}^{\infty} \frac{h(l)}{h(p)} P_l(Y_s=p) \\ &= (1-\epsilon)^2 \left( 1 - \sum_{l=0}^{m_k \lor l_0 \lor p-1} \frac{h(l)}{h(p)} P_l(Y_s=p) \right), \end{align*}

the last equality stemming from (5.12).

Finally, we use once again the fact that, for any fixed $l$,

Pl(Ys=p)s0,P_l (Y_s = p) \xrightarrow{s \to \infty} 0,

to get that, for any $\epsilon > 0$,

lim infsAs(1ϵ)2.\liminf_s A_s \ge (1 - \epsilon)^2.

As $\epsilon$ was completely arbitrary in the above chain of arguments, we get that

lim infsAs1.\liminf_s A_s \ge 1.

This completes the proof of the proposition. $\square$