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Poisson representations for tree-indexed Markov chains

Malin Palö Forsström

TL;DR

This work analyzes when tree-indexed Markov chains admit a Poisson representation, extending the class ${\mathcal R}$ from linear graphs to trees. It proves a sharp phase transition on finite trees: for a finite tree with boundary size $k$ and maximum degree $m$, there are thresholds $r_0(k)$ and $r_1(m)$ such that representability depends on both $r$ and the regime of $p$ (near 0 or near 1). It further shows that certain infinite trees, notably octopus trees $T_m$, admit Poisson representations for some parameter ranges, with a $p$-independent threshold $r_2(m)$ and a special case $m=3$ where $r_2(3)=r_1(3)=1/2$, making representability determined by $r$ alone in that case. The paper also strengthens and broadens prior results by providing streamlined proofs, signed-measure extensions, and scaling arguments that connect finite and infinite-tree behavior, clarifying when Ising-like models fail to be Poisson representable and enriching the theory of tree-indexed processes.

Abstract

In~\cite{fgs}, the class of Poisson representable processes was introduced. Several well-known processes were shown not to belong to this class, with examples including both the Curie Weiss model and the Ising model on $ \mathbb{Z}^2 $ for certain choices of parameters. Curiously, it was also shown that all positively associated $ \{ 0,1 \}$-valued Markov chains do belong to this class. In this paper, we interpolate between Markov chains and Ising models by considering tree-indexed Markov chains. In particular, we show that for any finite tree that is not a path, whether or not the corresponding tree-indexed Markov chain is representable always depends on the parameters. Moreover, we give an example of a family of infinite trees such that the corresponding tree-indexed Markov chains are representable for some non-trivial parameters. In addition, we give alternative proofs and arguments and also strengthen several of the results in~\cite{fgs}.

Poisson representations for tree-indexed Markov chains

TL;DR

This work analyzes when tree-indexed Markov chains admit a Poisson representation, extending the class from linear graphs to trees. It proves a sharp phase transition on finite trees: for a finite tree with boundary size and maximum degree , there are thresholds and such that representability depends on both and the regime of (near 0 or near 1). It further shows that certain infinite trees, notably octopus trees , admit Poisson representations for some parameter ranges, with a -independent threshold and a special case where , making representability determined by alone in that case. The paper also strengthens and broadens prior results by providing streamlined proofs, signed-measure extensions, and scaling arguments that connect finite and infinite-tree behavior, clarifying when Ising-like models fail to be Poisson representable and enriching the theory of tree-indexed processes.

Abstract

In~\cite{fgs}, the class of Poisson representable processes was introduced. Several well-known processes were shown not to belong to this class, with examples including both the Curie Weiss model and the Ising model on for certain choices of parameters. Curiously, it was also shown that all positively associated -valued Markov chains do belong to this class. In this paper, we interpolate between Markov chains and Ising models by considering tree-indexed Markov chains. In particular, we show that for any finite tree that is not a path, whether or not the corresponding tree-indexed Markov chain is representable always depends on the parameters. Moreover, we give an example of a family of infinite trees such that the corresponding tree-indexed Markov chains are representable for some non-trivial parameters. In addition, we give alternative proofs and arguments and also strengthen several of the results in~\cite{fgs}.
Paper Structure (15 sections, 19 theorems, 110 equations, 7 figures, 1 table)

This paper contains 15 sections, 19 theorems, 110 equations, 7 figures, 1 table.

Key Result

Theorem 1.1

Let $T$ be a finite tree, let $(r,p) \in (0,1) ,$ and let $X$ be a tree-indexed Markov chain on $T$ with parameters $(r,p).$ Let $k$ be the size of the boundary of $T,$ and let $m$ be the maximal degree of any vertex in $V(T).$ Further, let Then the following holds.

Figures (7)

  • Figure 1: The octopus trees $T_3,$$T_4,$ and $T_5.$
  • Figure 2:
  • Figure 3: The figures above illustrate the settings of Lemma \ref{['lemma: observation 1']}, Lemma \ref{['lemma: observation 2']} and Lemma \ref{['lemma: observation 3']}. In all figures, we have drawn a finite tree $T$, a set $S$ in black, the corresponding set $\mathcal{B}^+_T(S)$ in white, a set $E$ in red, and $R_{T,S}$ in red.
  • Figure 4: The settings of \ref{['item: case 1']}, \ref{['item: case 2']}, and \ref{['item: case 3']} in the proof of Proposition \ref{['proposition: 2/3 trees']}. In the figures, the set $L$ is drawn in black, and a set $E$ in red.
  • Figure 5: The setting of the end of the proof of Proposition \ref{['proposition: 2/3 trees']}, illustrating the bijection between $\hat{P}(E(T_S))$ and the direct product of $\hat{P}(E(T_{S\smallsetminus L}))$ and $\hat{P}(E_v).$
  • ...and 2 more figures

Theorems & Definitions (43)

  • Theorem 1.1
  • Theorem 1.2
  • Theorem 1.3
  • Remark 1.4
  • Lemma 2.1: Lemma 2.12 in fgs
  • Lemma 2.2: Lemma 2.14 in fgs
  • Lemma 3.1
  • proof
  • Proposition 3.2
  • proof
  • ...and 33 more