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Meinert, Melissa: Partial differential equations on fractals. Existence, Uniqueness and Approximation results. 2020
Inhalt
Introduction
Main results of this thesis
Outline
I Tools and preliminaries
Dirichlet forms
Appendix to Part II
Resistance forms
Appendix to Part III
Vector analysis for resistance forms
Universal derivation
Energy measures and discrete approximations
Energy measures and discrete approximations in the local case
Energy measures and discrete approximations in the general case
Derivations and generators associated with different energies
Scalar Laplacian
Vector Laplacian
Distributional definitions
First order derivatives and measurable bundles
Examples of resistance spaces
Metric graphs
Finitely ramified fractals with regular resistance forms
An example of a non-finitely ramified fractal
II Existence and uniqueness results
Linear equations of elliptic and parabolic type on resistance spaces
Coercive closed forms
Linear elliptic and parabolic problems
Comments on the coefficients
The viscous Burgers equation
Different formulations of the formal problem
Heat and Burgers equation on metric graphs
Kirchhoff Burgers equation
Burgers equation via Cole-Hopf
Existence and uniqueness results
Heat and Burgers equations on resistance spaces
Hodge star operators and scalar Burgers equation
Vector Burgers equation
Existence and uniqueness results
Existence of solutions to the continuity equation
Weak solutions to continuity equations
Existence for time-dependent vector fields
Variational solutions to viscous continuity equations
A priori estimates
Vanishing viscosity and existence of solutions
Calculus of variations on fractals
p-Energies and reflexive Sobolev spaces
Existence of minimizers for convex functionals
Constrained minimization problems
Nonlinear Poisson equation
Variational inequality
Proof of Proposition 9.1
III Approximation results
Generalized strong resolvent convergence for linear PDEs on compact resistance spaces
KS-generalized Mosco convergence for non-symmetric Dirichlet forms
Convergence of solutions on a single space
Boundedness and convergence of vector fields
Accumulation points
Strong resolvent convergence
Convergence of solutions on varying spaces
Setup and basic assumptions
Some consequences of the assumptions
Boundedness and compatibility of vector fields
Accumulation points
Spectral convergence
Approximations
Discrete graph approximations for finitely ramified spaces
Metric graph approximations for p.c.f. self-similar spaces
Generalized norm resolvent convergence and metric graph approximation for Cole-Hopf solutions to the Burgers equation
Generalized norm resolvent convergence
Metric graph approximation of solutions to the heat equation
Metric graph approximation of Cole-Hopf solutions to the Burgers equation
Discrete graph approximation for continuity equations on finitely ramified spaces
Convergence in the sense of Kuwae and Shioya
Choice of vector fields
Uniform bounds
Accumulation point along a subsequence to the solution of the continuity equation
KS-generalized strong resolvent convergence and P-generalized norm resolvent convergence
Proof of Theorem 11.1
Auxiliary results from functional analysis
Bibliography