A remarkable feature of fluid dynamics is its relationship with classical dynamics and statistical mechanics. This has motivated in the past mathematical investigations concerning, in a special way, the "derivation" based on kinetic theory, and in particular the Boltzmann equation, of the incompressible Navier-Stokes equations (INSE). However, the connection determined in this way is usually merely asymptotic (i.e., it can be reached only for suitable limit functions) and therefore presents difficulties of its own. This feature has suggested the search of an alternative approach, based on the construction of a suitable inverse kinetic theory (IKT; Tessarotto et al., 2004-2007), which can avoid them. IKT, in fact, permits to achieve an exact representation of the fluid equations by identifying them with appropriate moment equations of a suitable (inverse) kinetic equation. The latter can be identified with a Liouville equation advancing in time a phase-space probability density function (PDF), in terms of which the complete set of fluid fields (prescribing the state of the fluid) are determined. In this paper we intend to investigate the mathematical properties of the underlying \textit{finite-dimensional} phase-space classical dynamical system, denoted \textit{Navier-Stokes dynamical system}, which can be established in this way. The result we intend to establish has fundamental implications both for the mathematical investigation of Navier-Stokes equations as well as for diverse consequences and applications in fluid dynamics and applied sciences.
The Variable Density Model for the Rayleigh-Taylor Instability and its transformation to the diffusive, inhomogeneous, incompressible Navier-Stokes equations
A matrix-free high-order discontinuous Galerkin compressible Navier-Stokes solver: A performance comparison of compressible and incompressible formulations for turbulent incompressible flows
Solution to two-dimensional Incompressible Navier-Stokes Equations with SIMPLE, SIMPLER and Vorticity-Stream Function Approaches. Driven-Lid Cavity Problem: Solution and Visualization
