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techFRONT


Video © Kristine Graneng (2020)


Marie Skłodowska-Curie Actions – Individual fellowship
Novel techniques for quantitative behaviour of convection-diffusion equations

Researcher: J. Endal
Supervisor: M. Bonforte

Project description
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Physical laws are mathematically encoded into Partial Differential Equations (PDEs). They tell us how certain quantities – like heat, water, or cars – depend on position and time. Precise information on the fundamental processes of the natural world is based to a large extent on PDEs; in turn, these processes will hint at solutions to mathematical problems. The EU-funded techFRONT project will study fine properties of irregular solutions of certain PDEs. Project research will seek to answer if initially irregular solutions become regular after some time, and if the PDEs are well-posed for growing (large) initial data. It will also investigate how solutions behave in the most quantitative way, by using explicit barriers or by understanding the long-time behaviour of the PDEs.

Duration
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September 1 2020–June 30 2022

Publications
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Click to see submitted for publication/pending publication (sorted by date):
  [3]  J. Endal, L. I. Ignat, and F. Quirós.
Large-time behaviour for anisotropic stable nonlocal diffusion problems with convection.
Submitted, 2022.
[arXiv]    [journal]
  [2]  M. Bonforte and J. Endal.
Nonlocal nonlinear diffusion equations. Smoothing effects, Green functions, and functional inequalities.
Submitted, 2022.
[arXiv]    [journal]
  [1]  F. del Teso, J. Endal, and E. R. Jakobsen.
Uniform tail estimates and Lp(RN)-convergence for finite-difference approximations of nonlinear diffusion equations.
Submitted, 2022.
[arXiv]    [journal]

Click to see publications in refereed journals (sorted by date):
  [2]  F. del Teso, J. Endal, and M. Lewicka.
On asymptotic expansions for the fractional infinity Laplacian.
Asymptot. Anal., 127(3):201–216, 2022.
[arXiv]    [journal]
  [1]  F. del Teso, J. Endal, and J. L. Vázquez.
The one-phase fractional Stefan problem.
Math. Models Methods Appl. Sci., 31(1):83–131, 2021.
[arXiv]    [journal]

See also arXiv, Google Scholar, or Research Gate.

Events
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The project funded and organized the workshop Regularity for nonlinear diffusion equations. Green functions and functional inequalities.

Dissemination
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Networking
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Communication & Outreach
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This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement no. 839749,
and from the Research Council of Norway under the MSCA-TOPP-UT grant agreement no. 312021

Disclaimer excluding European Research Council Executive Agency responsibility
Any dissemination of results must indicate that it reflects only the author's view and that the Agency is not responsible for any use that may be made of the information it contains.

Updated July 2022
Copyright © techFRONT 2022
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