On the Optimal Shape of Tree Roots and Branches

TL;DR

This paper formulates variational problems to determine optimal shapes of tree roots and branches by maximizing light capture and nutrient gathering while minimizing transportation costs, establishing existence and properties of solutions.

Contribution

It introduces a novel framework for modeling optimal tree shapes using variational problems with transportation costs, proving existence and key properties of optimal distributions.

Findings

Proves upper semicontinuity of sunlight and harvest functionals.

Establishes existence of optimal root and branch distributions.

Provides a priori estimates on the support of optimal solutions.

Abstract

This paper introduces two classes of variational problems, determining optimal shapes for tree roots and branches. Given a measure $\mu$, describing the distribution of leaves, we introduce a sunlight functional $\S(\mu)$ computing the total amount of light captured by the leaves. On the other hand, given a measure $\mu$ describing the distribution of root hair cells, we consider a harvest functional $\H(\mu)$ computing the total amount of water and nutrients gathered by the roots. In both cases, we seek to maximize these functionals subject to a ramified transportation cost, for transporting nutrients from the roots to the trunk and from the trunk to the leaves. The main results establish various properties of these functionals, and the existence of optimal distributions. In particular, we prove the upper semicontinuity of $\S$ and $\H$, together with a priori estimates on the support of optimal distributions.