Scaling Limits and Generic Bounds for Exploration Processes |
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Authors: | Paola Bermolen Matthieu Jonckheere Jaron Sanders |
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Institution: | 1.IMERL,Facultad de Ingeniería, Universidad de la República,Montevideo,Uruguay;2.Instituto de Cálculo,Universidad de Buenos Aires and Conicet,Buenos Aires,Argentina;3.KTH Royal Institute of Technology,Stockholm,Sweden |
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Abstract: | We consider exploration algorithms of the random sequential adsorption type both for homogeneous random graphs and random geometric graphs based on spatial Poisson processes. At each step, a vertex of the graph becomes active and its neighboring nodes become blocked. Given an initial number of vertices N growing to infinity, we study statistical properties of the proportion of explored (active or blocked) nodes in time using scaling limits. We obtain exact limits for homogeneous graphs and prove an explicit central limit theorem for the final proportion of active nodes, known as the jamming constant, through a diffusion approximation for the exploration process which can be described as a unidimensional process. We then focus on bounding the trajectories of such exploration processes on random geometric graphs, i.e., random sequential adsorption. As opposed to exploration processes on homogeneous random graphs, these do not allow for such a dimensional reduction. Instead we derive a fundamental relationship between the number of explored nodes and the discovered volume in the spatial process, and we obtain generic bounds for the fluid limit and jamming constant: bounds that are independent of the dimension of space and the detailed shape of the volume associated to the discovered node. Lastly, using coupling techinques, we give trajectorial interpretations of the generic bounds. |
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