The purpose of this workshop was to provide an opportunity for discussion of the latest developments in non-linear analysis and the physical and biological sciences, and the active influence that each exerts on the other. The workshop was dedicated to the memory of Professor Jack Carr. Sir Michael Atiyah, University of Edinburgh, kindly opened the workshop.
Workshop
Non-Linear Analysis and the Physical and Biological Sciences (In Honour of Jack Carr)
21 - 21 May 2018
ICMS, 15 South College Street Edinburgh
Organiser
About
Programme
Meet the speakers
Michael Atiyah
University of Edinburgh
The Role of Topology in Non-Linear Analysis
John Ball
University of Oxford and Heriot-Watt University
Jack Carr the Mathematician
Fernando da Costa
Universidade Aberta
Sub-Monolayer Deposition Models: Similarity Profiles and Convergence Rates
Constatine Dafermos
Brown University
Long Time Behavior of Solutions to Scalar Conservation Laws
Dugald Duncan
Heriot-Watt University
Metastable Patterns in Solutions of a Non-Local Equation
Maria Esteban
Université Paris-Dauphine
Analytical and Numerical Results about Symmetry and Symmetry Breaking for Caffarelli-Kohn-Nirenberg Inequalities
Irene Fonseca
Carnegie-Mellon University
Mathematical Analysis of Novel Advanced Materials
Gero Friesecke
TU Münich
Quantum Correlations and Optimal Transport
Stuart Hastings
University of Pittsburgh
On the Use of Classical Ode Methods in Modern Applied Analysis
Barbara Niethammer
University of Bonn
Instabilities and Oscillations in Coagulation Equations
Robert Pego
Carnegie-Mellon University
Self-Similar Limits from Ballistic Annihilation of Fronts
Oliver Penrose
Heriot-Watt University
An Application of Centre Manifold Theory in Economics
Marshall Slemrod
University of Wisconsin and Weizmann Institute of Science
From C-G-S to Hilbert6
Iain Stewart
University of Dundee
A Continuum Model for Smectic A Liquid Crystals
Laszlo Szekelyhidi
University of Leipzig
High-Dimensionality and H-Principle in PDE
William C Troy
University of Pittsburgh
Periodic Wave Solutions of a Two Space Dimensional Neuronal Model
