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- ItemFunction spaces, time derivatives and compactness for evolving families of Banach spaces with applications to PDEs(Orlando, Fla. : Elsevier, 2023) Alphonse, Amal; Caetano, Diogo; Djurdjevac, Ana; Elliott, Charles M.We develop a functional framework suitable for the treatment of partial differential equations and variational problems on evolving families of Banach spaces. We propose a definition for the weak time derivative that does not rely on the availability of a Hilbertian structure and explore conditions under which spaces of weakly differentiable functions (with values in an evolving Banach space) relate to classical Sobolev–Bochner spaces. An Aubin–Lions compactness result is proved. We analyse concrete examples of function spaces over time-evolving spatial domains and hypersurfaces for which we explicitly provide the definition of the time derivative and verify isomorphism properties with the aforementioned Sobolev–Bochner spaces. We conclude with the proof of well posedness for a class of nonlinear monotone problems on an abstract evolving space (generalising the evolutionary p-Laplace equation on a moving domain or surface) and identify some additional problems that can be formulated with the setting developed in this work.
- ItemFeedback Loops in Opinion Dynamics of Agent-Based Models with Multiplicative Noise(Basel : MDPI, 2022) Djurdjevac Conrad, Nataša; Köppl, Jonas; Djurdjevac, AnaWe introduce an agent-based model for co-evolving opinions and social dynamics, under the influence of multiplicative noise. In this model, every agent is characterized by a position in a social space and a continuous opinion state variable. Agents’ movements are governed by the positions and opinions of other agents and similarly, the opinion dynamics are influenced by agents’ spatial proximity and their opinion similarity. Using numerical simulations and formal analyses, we study this feedback loop between opinion dynamics and the mobility of agents in a social space. We investigate the behaviour of this ABM in different regimes and explore the influence of various factors on the appearance of emerging phenomena such as group formation and opinion consensus. We study the empirical distribution, and, in the limit of infinite number of agents, we derive a corresponding reduced model given by a partial differential equation (PDE). Finally, using numerical examples, we show that a resulting PDE model is a good approximation of the original ABM.
- ItemTransport and continuity equations with (very) rough noise(Berlin : Weierstraß-Institut für Angewandte Analysis und Stochastik, 2020) Bellinger, Carlo; Djurdjevac, Ana; Friz, Peter; Tapia, NikolasExistence and uniqueness for rough flows, transport and continuity equations driven by general geometric rough paths are established.