lsamvy飞行觅食假说:平稳分布与异常扩散的比较

Serena Dipierro, Giovanni Giacomin, Enrico Valdinoci
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On the one hand, when the prey is uniformly distributed, the best possible strategy for the forager is to be stationary and uniformly distributed in the same region.

On the other hand, in several biological settings, foragers cannot be completely stationary, therefore we investigate the best seeking strategy for L'evy foragers in terms of the corresponding L'evy exponent. In this case, we show that the best strategy depends on the region size in which the prey is located: large regions exhibit optimal seeking strategies close to Gaussian random walks, while
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We also consider optimal strategies in view of the Fourier transform of the distribution of a stationary prey. When this distribution is supported in a suitable volume, then the foraging efficiency functional is monotone increasing with respect to the L'evy exponent
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If instead the Fourier transform of the distribution of a stationary prey is supported in the complement of a suitable volume, then the foraging efficiency functional is monotone decreasing with respect to the L'evy exponent and therefore the optimal strategy is given by a null fractional exponent (which in turn corresponds, from a biological standpoint, to a strategy of ``ambush'' type).

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On the one hand, when the prey is uniformly distributed, the best possible strategy for the forager is to be stationary and uniformly distributed in the same region.

On the other hand, in several biological settings, foragers cannot be completely stationary, therefore we investigate the best seeking strategy for L'evy foragers in terms of the corresponding L'evy exponent. In this case, we show that the best strategy depends on the region size in which the prey is located: large regions exhibit optimal seeking strategies close to Gaussian random walks, while
small regions favor L'evy foragers with small fractional exponent.

We also consider optimal strategies in view of the Fourier transform of the distribution of a stationary prey. When this distribution is supported in a suitable volume, then the foraging efficiency functional is monotone increasing with respect to the L'evy exponent
and accordingly the optimal strategy is given by the Gaussian dispersal.
If instead the Fourier transform of the distribution of a stationary prey is supported in the complement of a suitable volume, then the foraging efficiency functional is monotone decreasing with respect to the L'evy exponent and therefore the optimal strategy is given by a null fractional exponent (which in turn corresponds, from a biological standpoint, to a strategy of ``ambush'' type).

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引用次数: 0

摘要

摘要考虑在给定的空间区域中有一个静止的猎物,我们的目标是寻找最优的觅食策略。一方面,当猎物均匀分布时,觅食者的最佳策略是在同一区域内保持静止和均匀分布。 因此,我们根据相应的L'evy指数来研究L'evy觅食者的最佳寻找策略。在这种情况下,我们证明了最佳策略取决于猎物所在区域的大小:大区域表现出接近高斯随机行走的最优寻找策略,而小区域则倾向于分数指数较小的L'evy觅食者。我们还考虑了静止猎物分布的傅里叶变换。当该分布支持在合适的体积内时,则觅食效率泛函相对于L' evi指数呈单调递增,因此最优策略由高斯分散给出。如果在合适的体积内支持静止猎物分布的傅里叶变换,则那么,觅食效率泛函相对于L'evy指数是单调递减的,因此,最优策略是由零分数指数给出的(从生物学的角度来看,这反过来对应于“伏击”型策略)。我们还将进行严格的定量分析,以强调一维和高维情况之间的一些具体区别。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Lévy flight foraging hypothesis: comparison between stationary distributions and anomalous diffusion
Abstract We consider a stationary prey in a given region of space and we aim at detecting optimal foraging strategies.

On the one hand, when the prey is uniformly distributed, the best possible strategy for the forager is to be stationary and uniformly distributed in the same region.

On the other hand, in several biological settings, foragers cannot be completely stationary, therefore we investigate the best seeking strategy for L'evy foragers in terms of the corresponding L'evy exponent. In this case, we show that the best strategy depends on the region size in which the prey is located: large regions exhibit optimal seeking strategies close to Gaussian random walks, while
small regions favor L'evy foragers with small fractional exponent.

We also consider optimal strategies in view of the Fourier transform of the distribution of a stationary prey. When this distribution is supported in a suitable volume, then the foraging efficiency functional is monotone increasing with respect to the L'evy exponent
and accordingly the optimal strategy is given by the Gaussian dispersal.
If instead the Fourier transform of the distribution of a stationary prey is supported in the complement of a suitable volume, then the foraging efficiency functional is monotone decreasing with respect to the L'evy exponent and therefore the optimal strategy is given by a null fractional exponent (which in turn corresponds, from a biological standpoint, to a strategy of ``ambush'' type).

We will devote a rigorous quantitative analysis also to emphasize some specific differences between the one-dimensional and the higher-dimensional cases.
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