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Welcome to the webpage of the ERC-funded project “SINGULARITY – Singularities and Compactness in Nonlinear PDEs”, which ran from 2018 to 2024!

The team was primarily based at the Mathematics Institute of the University of WarwickLink opens in a new window.

Our primary funding was from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement 757254), but we also gratefully acknowledge previous funding from the Engineering and Physical Sciences Research Council (EPSRC) and the Lloyds Register Foundation (LRF).

Team:

Filip Rindler (PI)

Paolo Bonicatto (Postdoc 2020-23)
Giacomo Del Nin (Postdoc 2019-2023)
David K. E. Green (Postdoc ATI 2018-2021)
Bogdan Raita (Postdoc 2018-2019)
Adolfo Arroyo-Rabasa (Postdoc 2018-2021)

Dimitrios Andreakis (PhD student 2023-2027)
Kamil Kosiba (PhD student 2015-2019)

Harry Turnbull (Student 2023/24)
Josh Rydell (Student 2023/24)
Natasha Diederen (Student 2022/23)
Jack Lucas (Student 2022/23)
Liam Cox (Student 2021/22)
Balaram Sridhar (Student 2021/22)
Tom Kennedy (Student 2020/21)
Aidan Robertson (Student 2020/21)
Tadashi Matsumoto (Student 2019/20)
Billy Sumners (Student 2018/19)
Robert Johnson (Student 2018/19)

Objectives:

The emergence of singularities, such as oscillations and concentrations, is at the heart of some of the most intriguing problems in the theory of nonlinear PDEs. Rich sources of these phenomena can be found for instance in the equations of mathematical material science and hyperbolic conservation laws.

The SINGULARITY project will investigate singularities through strategies that combine geometric measure theory with harmonic analysis.

Theme I investigates condensated singularities, i.e. singular parts of (vector) measures solving a PDE and the fine structure theory for PDE-constrained measures.

Theme II is concerned with the development of a compensated compactness theory for sequences of solutions to a PDE, which is capable of dealing with concentrations. The central aim is to study in detail the (non-)compactness properties of such sequences in the presence of asymptotic singularities.

Laminates

Theme III investigates higher-order microstructure, i.e. nested periodic oscillations in sequences, such as laminates. The main objective is to understand the effective propertiesof such microstructures.

We will also consider applications in Data Science, in particular in the detection & prediction of anomalies in streaming data. This sub-project is part of the Data-Centric Engineering (DCE) programme at the Alan Turing InstituteLink opens in a new windowLink opens in a new window.

A more technical description of recent results can be found in the following survey article: AfreeSurveyLink opens in a new window

Publications: