Dynamical Pruning of Rooted Trees with Applications to 1-D Ballistic Annihilation
Creators
- 1. Oregon State University. Department of Mathematics (United States)
- 2. University of Nevada. Department of Mathematics and Statistics (United States)
Description
We introduce generalized dynamical pruning on rooted binary trees with edge lengths that encompasses a number of discrete and continuous pruning operations, including the tree erasure and Horton pruning. The pruning removes parts of a tree T, starting from the leaves, according to a pruning function defined on descendant subtrees within T. We prove the invariance of critical binary Galton–Watson tree with exponential edge lengths with respect to the generalized dynamical pruning for an arbitrary admissible pruning function. These results facilitate analysis of the continuum 1-D ballistic annihilation model for a constant particle density and initial velocity that alternates between the values of . We show that the model's shock wave is isometric to the level set tree of the potential function, and the model evolution is equivalent to the generalized dynamical pruning of the shock wave tree.
Additional details
Identifiers
Publishing Information
- Journal Title
- Journal of Statistical Physics
- Journal Volume
- 181
- Journal Issue
- 2
- Journal Page Range
- p. 618-672
- ISSN
- 0022-4715
- CODEN
- JSTPBS
INIS
- Country of Publication
- United States
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 55093506
- Subject category
- S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; S97: MATHEMATICAL METHODS AND COMPUTING;
- Descriptors DEI
- ANNIHILATION; BANACH SPACE; DENSITY; DYNAMICS; EVOLUTION; FUNCTIONS; GRAPH THEORY; INTEGRABLE SYSTEMS; LEAVES; LENGTH; SET THEORY; SHOCK WAVES; STATISTICAL MECHANICS; VELOCITY
- Descriptors DEC
- DIMENSIONS; DYNAMICAL SYSTEMS; INTERACTIONS; MATHEMATICAL SPACE; MATHEMATICS; MECHANICS; PARTICLE INTERACTIONS; PHYSICAL PROPERTIES; SPACE
Optional Information
- Copyright
- Copyright (c) 2020 © Springer Science+Business Media, LLC, part of Springer Nature 2020