Callegaro Alice, Roberts Matthew I
Department of Mathematics, Technical University of Munich, Boltzmannstr. 3, 85748 Garching, Germany.
Department of Mathematical Sciences, University of Bath, Bath, BA2 7AY UK.
Probab Theory Relat Fields. 2025;192(1-2):163-266. doi: 10.1007/s00440-024-01325-w. Epub 2024 Oct 18.
We define a fragmentation process which involves rectangles breaking up into progressively smaller pieces at rates that depend on their shape. Long, thin rectangles are more likely to break quickly, whereas squares break more slowly. Each rectangle is also more likely to split along its longest side. We are interested in how the system evolves over time: how many fragments are there of different shapes and sizes, and how did they reach that state? Using a standard transformation this fragmentation process with shape-dependent rates is equivalent to a two-dimensional branching random walk in continuous time in which the branching rate and the direction of each jump depend on the particles' position. Our main theorem gives an almost sure growth rate along paths for the number of particles in the branching random walk, which in turn gives the number of fragments with a fixed shape as the solution to an optimisation problem. This is a result of interest in the context of spatial branching systems and provides an example of a multitype branching process with a continuum of types.
我们定义了一个破碎过程,该过程涉及矩形以取决于其形状的速率分解为越来越小的碎片。长而细的矩形更有可能快速破碎,而正方形破碎得更慢。每个矩形也更有可能沿着其最长边分裂。我们感兴趣的是系统如何随时间演变:有多少不同形状和大小的碎片,以及它们是如何达到该状态的?通过一种标准变换,这个具有形状依赖速率的破碎过程等同于连续时间中的二维分支随机游走,其中分支速率和每次跳跃的方向取决于粒子的位置。我们的主要定理给出了分支随机游走中粒子数量沿路径的几乎必然增长率,这反过来又通过一个优化问题的解给出了具有固定形状的碎片数量。这是在空间分支系统背景下一个有趣的结果,并提供了一个具有连续类型的多类型分支过程的示例。