The Method of Intrinsic Scaling Jos Miguel Urbano CMUC, University - - PowerPoint PPT Presentation

the method of intrinsic scaling
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The Method of Intrinsic Scaling Jos Miguel Urbano CMUC, University - - PowerPoint PPT Presentation

The Method of Intrinsic Scaling Jos Miguel Urbano CMUC, University of Coimbra, Portugal jmurb@mat.uc.pt Spring School in Harmonic Analysis and PDEs Helsinki, June 26, 2008 The parabolic p-Laplace equation Degenerate if p>2 Singular


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The Method of Intrinsic Scaling

José Miguel Urbano

CMUC, University of Coimbra, Portugal jmurb@mat.uc.pt Spring School in Harmonic Analysis and PDEs Helsinki, June 2‐6, 2008

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The parabolic p-Laplace equation

Degenerate if p>2 Singular if 1<p<2 Results are local but extend up to the boundary Theory allows for lower-order terms

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Hilbert’s 19th problem

Are solutions of regular problems in the Calculus of Variations always necessarily analytic? Minimize the functional The problem is regular if the Lagrangian is regular and convex

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Euler-Lagrange equation

A minimizer solves the corresponding Euler-Lagrange equation and its partial derivatives solve the elliptic PDE with coefficients

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Schauder estimates

(bootstrapping...)

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A beautiful problem

Direct methods give existence in H1 (in the spirit of Hilbert’s 20th problem) Around 1950, the problem was to go from to

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De Giorgi - Nash - Moser

No use is made of the regularity of the coefficients Nonlinear approach [...] it was an unusual way of doing analysis, a field that often requires the use of rather fine estimates, that the normal mathematician grasps more easily through the formulas than through the geometry.

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The quasilinear elliptic case

Structure assumptions (p>1) Prototype

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From elliptic to parabolic

Linear Quasilinear

  • nly for p=2

Prototype

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Measuring the oscillation

iterative method measures the oscillation in a sequence of nested and shrinking cylinders based on (homogeneous) integral estimates on level sets - the building blocks of the theory nonlinear approach

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The cylinders

(x0,t0) is the vertex is the radius is the height

notation:

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Energy estimates

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Recovering the homogeneity

scaling factor is homogeneous; how does it compare with the p-Laplace equation?

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Intrinsic scaling - DiBenedetto

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The scaling factor

scaling factor

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Local weak solutions

A local weak solution is a measurable function such that, for every compact K and every subinterval [t1,t2], for all

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An equivalent definition

A local weak solution is a measurable function such that, for every compact K and every 0<t<T-h, for all

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Energy estimates

(x0,t0) = (0,0)

smooth cutoff function in such that

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The intrinsic geometry

starting cylinder measure the oscillation there construct the rescaled cylinder the scaling factor is

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Subdividing the cylinder

subcylinders with division in an integer number of congruent subcylinders

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The first alternative

For a constant depending only on the data, there is a cylinder such that Then

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Proof - getting started

Sequence of radii Sequence of nested and shrinking cylinders Sequence of cutoff functions such that

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Proof - using the estimates

Sequence of levels Energy inequalities over these cylinders for and

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Proof - the functional framework revealed

Change the time variable: The right functional framework: A crucial embedding:

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Proof - a recursive relation

Define and obtain

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Proof - fast geometric convergence

Divide through by to obtain where . If then

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The role of logarithmic estimates

get the conclusion for a full cylinder look at as an initial time

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Reduction of the oscillation

There exists a constant , depending only the data, such that

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The recursive argument

There exists a positive constant C, depending only the data, such that, defining the sequences and and constructing the family of cylinders with we have and

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The Hölder continuity

There exist constants γ>1 and α ∈ (0,1), that can be determined a priori only in terms of the data, such that for all .

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Generalizations

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Phase transitions

Phase transition at constant temperature Nonlinear diffusion Degenerate if p>2 Singular if 1<p<2 Singular in time - maximal monotone graph

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Regularize

Regularization of the maximal monotone graph Smooth approximation of the Heaviside function Lipschitz, together with its inverse:

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Approximate solutions are Hölder

They satisfy with . Structure assumptions:

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Idea of the proof

Show the sequence of approximate solutions is uniformly bounded equicontinuous Obtain estimates that are independent of the approximating parameter

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A new power in the energy estimates

1 1

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Three powers?

The constants will depend on the oscillation - this makes the analysis compatible. Modulus of continuity is defined implicitly. The Hölder character is lost in the limit...

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The intrinsic geometry

starting cylinder measure the oscillation there construct the rescaled cylinder the scaling factors are