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Viscosity solutions for the crystalline mean curvature flow Pozar, Norbert
Description
In this talk I will present recent results concerning the level set formulation of the crystalline mean curvature flow. In a joint work with Yoshikazu Giga, we introduce a new notion of viscosity solutions for this problem and establish its well-posedness for compact crystals in an arbitrary dimension as well as the stability with respect to an approximation by a smooth anisotropic mean curvature flow. Since the crystalline mean curvature might not be defined even for smooth surfaces, we consider a restricted class of "faceted" test functions and show that it is sufficiently large to yield a general comparison principle.
Item Metadata
Title |
Viscosity solutions for the crystalline mean curvature flow
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Creator | |
Publisher |
Banff International Research Station for Mathematical Innovation and Discovery
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Date Issued |
2018-06-21T11:02
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Description |
In this talk I will present recent results concerning the level set formulation of the crystalline mean curvature flow. In a joint
work with Yoshikazu Giga, we introduce a new notion of viscosity solutions for this problem and establish its well-posedness for
compact crystals in an arbitrary dimension as well as the stability with respect to an approximation by a smooth anisotropic mean
curvature flow. Since the crystalline mean curvature might not be defined even for smooth surfaces, we consider a restricted class
of "faceted" test functions and show that it is sufficiently large to yield a general comparison principle.
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Extent |
28.0
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Subject | |
Type | |
File Format |
video/mp4
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Language |
eng
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Notes |
Author affiliation: Kanazawa University
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Series | |
Date Available |
2019-03-15
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Provider |
Vancouver : University of British Columbia Library
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Rights |
Attribution-NonCommercial-NoDerivatives 4.0 International
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DOI |
10.14288/1.0376913
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URI | |
Affiliation | |
Peer Review Status |
Unreviewed
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Scholarly Level |
Researcher
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Rights URI | |
Aggregated Source Repository |
DSpace
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Item Media
Item Citations and Data
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International