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Mathematical Analysis, Modelling, and Applications

The activity in mathematical analysis is mainly focussed on ordinary and partial differential equations, on dynamical systems, on the calculus of variations, and on control theory. Connections of these topics with differential geometry are also developed.The activity in mathematical modelling is oriented to subjects for which the main technical tools come from mathematical analysis. The present themes are multiscale analysismechanics of materialsmicromagneticsmodelling of biological systems, and problems related to control theory.The applications of mathematics developed in this course are related to the numerical analysis of partial differential equations and of control problems. This activity is organized in collaboration with MathLab for the study of problems coming from the real world, from industrial applications, and from complex systems.

Nonlinear Analysis and Bifurcation Theory

The goal of the course is to cover the following topics:

  • Basic calculus in Banach spaces
  • Local inversion theorems and implicit function theory 
  • Properties of bifurcation points 
  • Bifurcation from the simple eigenvalue 
  • Bifurcation from multiple eigenvalues
  • Examples and applications 

Reference:

  • Ambrosetti-Prodi, A primer in Nonlinear Analysis

Introduction to Elliptic Equations

Laplace equation:

  • harmonic functions, mean value properties,
  • maximum principle,
  • Green's function,
  • Poisson kernel,
  • Harnack inequality,
  • subharmonic functions,
  • Perron-Wiener-Brelot method for the Dirichlet problem,
  • regular boundary points.

Variational theory of elliptic equations:

Direct Methods in the Calculus of Variations

  1. Elements of convex analysis, polar and bipolar function and their properties, convex envelopes. Semiclassical theory, Euler-Lagrange equations and relation with elliptic PDE’s. Regularity of minimizers.
  2. Direct method, quasiconvexity, polyconvexity, rank-one convexity and their relations. Semicontinuity theorems for scalar and vectorial functionals; existence of minimizers.
  3. Relaxation theorems, representation of relaxed functionals; convex, quasiconvex, polyconvex and rank-one convex envelopes.

Optimal Control

  1.  Optimal control problem. Existence of solution. Relaxation.
  2.  Linear time-optimal problems.
  3.  Linear-quadratic problems.
  4.  Pontryagin Maximum Principle.
  5.  Dubins car and Euler elasticae.
  6.  Hamilton-Jacobi-Bellmann equation and dynamical programming.
  7.  Chronological calculus.
  8.  Lie groups and left-invariant problems.
  9.  Sub-Riemannian problems on Lie groups and rolling balls.
  10.  Second variation and Jacobi equation.
  11.  Singular controls.
  12.  Chattering controls.

Mechanobiology of the Cell

  • The cell and its parts
  • Mechanics of the plasma membrane
  • Mechanics of the cytoskeleton
  • Mechanics of adhesion
  • Mechanotransduction

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