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  1. Home > Articles & Issues >
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  3. Generating Functions ...
Conference paper

Generating Functions of Stochastic L-Systems and Application to Models of Plant Development

Cedric Loi (1) (2), Paul Henry Cournède ORCID (2) (1)
(1) Mathématiques Appliquées aux Systèmes - EA 4037
(2) Modélisation de la croissance et de l'architecture des plantes
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Imported on
May 10, 2017
Published on
December 31, 2007
Last modified on
March 31, 2025
Volume
DMTCS Proceedings vol. AI, Fifth Colloquium on Mathematics and Computer Science
Proceedings
DOI
10.46298/dmtcs.3574
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https://about.hal.science/hal-authorisation-v1
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Generating Functions of Stochastic L-Systems and Application to Models of Plant Development

Cedric Loi (1) (2), Paul Henry Cournède ORCID (2) (1)
(1) Mathématiques Appliquées aux Systèmes - EA 4037
(2) Modélisation de la croissance et de l'architecture des plantes
Abstract
If the interest of stochastic L-systems for plant growth simulation and visualization is broadly acknowledged, their full mathematical potential has not been taken advantage of. In this article, we show how to link stochastic L-systems to multitype branching processes, in order to characterize the probability distributions and moments of the numbers of organs in plant structure. Plant architectural development can be seen as the combination of two subprocesses driving the bud population dynamics, branching and differentiation. By writing the stochastic L-system associated to each subprocess, we get the generating function associated to the whole system by compounding the associated generating functions. The modelling of stochastic branching is classical, but to model differentiation, we introduce a new framework based on multivariate phase-type random vectors.
Keywords
  • [INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM]
  • [MATH.MATH-DS]Mathematics [math]/Dynamical Systems [math.DS]
  • [MATH.MATH-CO]Mathematics [math]/Combinatorics [math.CO]
  • Stochastic L-system
  • multitype branching process
  • phase-type
  • generating functions
  • plant development
  • plant growth models
  • GreenLab
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