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On Einstein's Effective Viscosity Formula (Memoirs of the European Mathematical Society)

kenn 21 Mar 2024 19:51 LEARNING » e-book

On Einstein's Effective Viscosity Formula (Memoirs of the European Mathematical Society)
Free Download On Einstein's Effective Viscosity Formula (Memoirs of the European Mathematical Society)
Mitia Duerinckx, Antoine Gloria
English | 2023 | ISBN: 3985470553 | 196 Pages | True PDF | 0.93 MB

In his PhD thesis, Einstein derived an explicit fi rst-order expansion for the effective viscosity of a Stokes fl uid with a suspension of small rigid particles at low density. His formal derivation relied on two implicit assumptions: (i) there is a scale separation between the size of the particles and the observation scale; and (ii) at fi rst order, dilute particles do not interact with one another. In mathematical terms, the fi rst assumption amounts to the validity of a homogenization result defi ning the effective viscosity tensor, which is now well understood. Next, the second assumption allowed Einstein to approximate this effective viscosity at low density by considering particles as being isolated. The rigorous justifi cation is, in fact, quite subtle as the effective viscosity is a nonlinear nonlocal function of the ensemble of particles and as hydrodynamic interactions have borderline integrability.
In the present memoir, we establish Einstein's effective viscosity formula in the most general setting. In addition, we pursue the low-density expansion to arbitrary order in form of a cluster expansion, where the summation of hydrodynamic interactions crucially requires suitable renormalizations. In particular, we justify a celebrated result by Batchelor and Green on the second-order correction and we explicitly describe all higher-order renormalizations for the fi rst time. In some specifi c settings, we further address the summability of the whole cluster expansion. Our approach relies on a combination of combinatorial arguments, variational analysis, elliptic regularity, probability theory, and diagrammatic integration methods.


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