Fluid mechanics and kinetic theories

Course objectives

General targets: acquire basic knowledge of the physical and mathematical aspects of Fluid Mechanics and Kinetic Theory. Knowledge and understanding: knowledge of physical principles and modeling assumptions that lead to the equations of fluids and particle systems; knowledge of fluid and gas equations and their mathematical properties: weak formulations, existence and uniqueness of solutions, models for the evolution of singular data. Applying knowledge and understanding: the student will be able to modeling fluid and particle motions, also through the formulation of appropriate action functionals, discuss the evolution of singularity, use the mathematical tools for the treatment of fluids and gases in other contexts. To develop these aspects, in the course they are assigned and carried out appropriate exercises. Making judgements: ability to identify the most significant aspects of the theory, to know how to evaluate the limits and the advantages of simplifications operated (incompressibility, absence or presence of viscosity...), and the limits of mathematical results. Communication skills: ability to expose the development of the physical-mathematical theory for fluids and particle systems, highlighting the relationship between physical and mathematical aspects; ability to illustrate the demonstrations, summarizing the main ideas, and discussing the mathematical details. Communication skills: the acquired knowledge will allow a study, individual or given in an LM course, related to numerical aspects or modeling of fluid mechanics and kinetic theory.

Channel 1
GUIDO CAVALLARO Lecturers' profile

Program - Frequency - Exams

Course program
The Equations of Motion. Euler’s Equations. Vorticity and stream function. The Navier–Stokes Equations. Potential Flow and Slightly Viscous Flow. Boundary Layers. The Vortex Model. Stability of stationary solutions. Arnold Theorem. Construction of the solutions. Global existence and uniqueness in two dimensions. Outline of the three-dimensional case. Gas Flow in One Dimension. Characteristics. Shocks. The Riemann Problem. Water Waves. Korteweg-de Vries equation. Introduction to kinetic theory. Boltzmann equation. Kinetic models of viscous friction. Vlasov-Poisson equation.
Prerequisites
Knowledge acquired in the courses of Rational Mechanics, Mathematical Physics. Multivariable calculus.
Books
A. Chorin, J.E. Marsden: A Mathematical Introduction to Fluid Mechanics, Springer-Verlag, 2000. C. Marchioro, M. Pulvirenti: Mathematical Theory of Incompressible Nonviscous Fluids, Springer-Verlag, 1994. Notes of the course.
Teaching mode
Lectures with examples and exercises.
Frequency
The frequency is suggested but not mandatory.
Exam mode
Oral exam on the program of the course. The student can also choose to present an essay on a specific argument. The aim of the exam is to evaluate the learning through an oral test (consisting in the discussion of the most relevant topics illustrated in the course), with respect to the theoretical and conceptual aspects, the applicative aspects (mathematical understanding of the phenomena), the technical ones (demonstrations). To achieve a score of 30/30 and honors, the student must demonstrate that he has acquired excellent knowledge of all the topics covered during the course, being able to link them in a logical and coherent way, having an excellent knowledge of mathematical techniques used.
Bibliography
R. Esposito: Appunti delle lezioni di Meccanica Razionale, Aracne, 1999. L.D. Landau, E.M. Lifshitz: Meccanica dei fluidi, Editori Riuniti, 2013. G. Gallavotti: Foundations of Fluid Dynamics, Springer-Verlag, 2005. R.S. Johnson: A Modern Introduction to the Mathematical Theory of Water Waves, Cambridge Texts in Applied Mathematics, 1997. P. Buttà, G. Cavallaro, C. Marchioro: Mathematical Models of Viscous Friction, Lecture Notes in Mathematics (Springer), 2015.
Lesson mode
Lectures of traditional type.
  • Lesson code10596055
  • Academic year2025/2026
  • CourseApplied Mathematics
  • CurriculumModellistica numerica differenziale
  • Year2nd year
  • Semester1st semester
  • SSDMAT/07
  • CFU6