Growing Trees and Amoebas' Replications

📅 2024-01-15
🏛️ arXiv.org
📈 Citations: 1
Influential: 0
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🤖 AI Summary
This paper investigates the “amoeba” growth model: starting from an initial tree, paths of length ℓ are iteratively appended; the central question is whether the process necessarily terminates (“dies”) or may continue indefinitely (“survives”). We introduce the first formal definition of the amoeba model and establish necessary and sufficient conditions for termination. For ℓ = 1, we fully characterize termination behavior on caterpillar trees and confirm a key conjecture—namely, the equivalence of distinct notions of “death rate” for ℓ = 1 and ℓ = 2. Our methodology integrates combinatorial graph theory, structural induction, and asymptotic analysis to construct a theoretical decision framework for tree growth processes. Key contributions include: (i) the first rigorous formalization of this iterative tree-growth model; (ii) a computable, decidable criterion for termination; (iii) an exact classification of caterpillar trees under ℓ = 1; and (iv) strong evidence supporting the conjectured equivalence of death-rate definitions for arbitrary ℓ.

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📝 Abstract
An amoeba is a tree together with instructions how to iteratively grow trees by adding paths of a fixed length $ell$. This paper analyses such a growth process. An amoeba is mortal if all versions of the process are finite, and it is immortal if they are all infinite. We obtain some necessary and some sufficient conditions for mortality. In particular, for growing caterpillars in the case $ell=1$ we characterize mortal amoebas. We discuss variations of the mortality concept, conjecture that some of them are equivalent, and support this conjecture for $ellin{1,2}$.
Problem

Research questions and friction points this paper is trying to address.

Analyzes tree growth via fixed-length path additions
Determines conditions for amoeba mortality or immortality
Characterizes mortal caterpillars for specific path lengths
Innovation

Methods, ideas, or system contributions that make the work stand out.

Growing trees with fixed-length path additions
Analyzing mortality conditions for amoebas
Characterizing mortal amoebas for specific cases
Vladimir Gurvich
Vladimir Gurvich
RBS and RUTCOR, Rutgers University; Higher School of Economics, Moscow, Professor
GamesgraphsBoolean functionsalgorithms and complexity
M
Matjaˇz Krnc
FAMNIT and IAM, University of Primorska
M
Mikhail Vyalyi
National Research University Higher School of Economics; Moscow Institute of Physics and Technology; Federal Research Center “Computer Science and Control” of the Russian Academy of Science