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      Discrete-to-continuum limits of particles with an annihilation rule

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          Abstract

          In the recent trend of extending discrete-to-continuum limit passages for gradient flows of single-species particle systems with singular and nonlocal interactions to particles of opposite sign, any annihilation effect of particles with opposite sign has been side-stepped. We present the first rigorous discrete-to-continuum limit passage which includes annihilation. This result paves the way to applications such as vortices, charged particles, and dislocations. In more detail, the discrete setting of our discrete-to-continuum limit passage is given by particles on the real line. Particles of the same type interact by a singular interaction kernel, those of opposite sign interact by a regular one. If two particles of opposite sign collide, they annihilate, \emph{i.e.}, they are taken out of the system. The challenge for proving a discrete-to-continuum limit is that annihilation is an intrinsically discrete effect where particles vanish instantaneously in time, while on the continuum scale the mass of the particle density decays continuously in time. The proof contains two novelties: (i) the empirical measures of the discrete dynamics (with annihilation rule) satisfy the continuum evolution equation that only implicitly encodes annihilation, and (ii) by imposing a relatively mild separation assumption on the initial data we can identify the limiting particle density as a solution to the same continuum evolution equation.

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          A gradient flow approach to an evolution problem arising in superconductivity

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                Author and article information

                Journal
                30 July 2018
                Article
                1807.11199
                5168fec6-01ef-4c6b-81e5-a4a8ae684171

                http://arxiv.org/licenses/nonexclusive-distrib/1.0/

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                Custom metadata
                82C22, (82C21, 35A15, 74G10)
                24 pages, 1 figure, http://cvgmt.sns.it/paper/3988/
                math.AP

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