nonlinear diffusion. the porous medium equation. from analysis to
TRANSCRIPT
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Nonlinear Diffusion.The Porous Medium Equation.From Analysis to Physics and
GeometryJuan Luis Vazquez
Departamento de Matematicas
Universidad Autonoma de Madrid
http://www.uam.es/personalpdi/ciencias/jvazquez/
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 1/77
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IntroductionMain topic: Nonlinear Diffusion
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 2/77
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IntroductionMain topic: Nonlinear Diffusion
Particular topics: Porous Medium and Fast Diffusion flows
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 2/77
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IntroductionMain topic: Nonlinear Diffusion
Particular topics: Porous Medium and Fast Diffusion flows
Aim: to develop a complete mathematical theory with sound
physical basis
The resulting theory involves PDEs, Functional Analysis, Inf. Dim. Dyn.
Systems; Diff. Geometry and Probability
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 2/77
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IntroductionMain topic: Nonlinear Diffusion
Particular topics: Porous Medium and Fast Diffusion flows
Aim: to develop a complete mathematical theory with sound
physical basis
The resulting theory involves PDEs, Functional Analysis, Inf. Dim. Dyn.
Systems; Diff. Geometry and Probability
H. Brezis, Ph. Bnilan
D. G. Aronson, L. A. Caffarelli
L. A. Peletier, S. Kamin, G. Barenblatt, V. A. Galaktionov
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 2/77
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IntroductionMain topic: Nonlinear Diffusion
Particular topics: Porous Medium and Fast Diffusion flows
Aim: to develop a complete mathematical theory with sound
physical basis
The resulting theory involves PDEs, Functional Analysis, Inf. Dim. Dyn.
Systems; Diff. Geometry and Probability
H. Brezis, Ph. Bnilan
D. G. Aronson, L. A. Caffarelli
L. A. Peletier, S. Kamin, G. Barenblatt, V. A. Galaktionov
+ M. Crandall, L. Evans, A. Friedman, C. Kenig,...
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 2/77
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I. Diffusion
populations diffuse, substances (like particles in a solvent) diffuse, heat propagates,
electrons and ions diffuse, the momentum of a viscous (Newtonian) fluid diffuses (linearly),
there is diffusion in the markets, ...
what is diffusion anyway? how to explain it with mathematics? is it a linear process?
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 3/77
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The heat equation originsWe begin our presentation with the Heat Equationut = u and the analysis proposed by Fourier, 1807, 1822
(Fourier decomposition, spectrum). The mathematical modelsof heat propagation and diffusion have made great progressboth in theory and application. They have had a stronginfluence on the 5 areas of Mathematics already mentioned.
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 4/77
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The heat equation originsWe begin our presentation with the Heat Equationut = u and the analysis proposed by Fourier, 1807, 1822
(Fourier decomposition, spectrum). The mathematical modelsof heat propagation and diffusion have made great progressboth in theory and application. They have had a stronginfluence on the 5 areas of Mathematics already mentioned.
The heat flow analysis is based on two main techniques:
integral representation (convolution with a Gaussian kernel)
and mode separation:
u(x, t) =
Ti(t)Xi(x)
where the Xi(x) form the spectral sequence
Xi = i Xi.This is the famous linear eigenvalue problem
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 4/77
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Linear heat flowsFrom 1822 until 1950 the heat equation has motivated
(i) Fourier analysis decomposition of functions (and set theory),
(ii) development of other linear equations
= Theory of Parabolic Equations
ut =
aijiju +
biiu + cu + f
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 5/77
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Linear heat flowsFrom 1822 until 1950 the heat equation has motivated
(i) Fourier analysis decomposition of functions (and set theory),
(ii) development of other linear equations
= Theory of Parabolic Equations
ut =
aijiju +
biiu + cu + f
Main inventions in Parabolic Theory:
(1) aij , bi, c, f regular Maximum Principles, Schauder
estimates, Harnack inequalities; C spaces (Hlder); potential
theory; generation of semigroups.(2) coefficients only continuous or bounded W 2,p estimates,Caldern-Zygmund theory, weak solutions; Sobolev spaces.
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 5/77
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Linear heat flowsFrom 1822 until 1950 the heat equation has motivated
(i) Fourier analysis decomposition of functions (and set theory),
(ii) development of other linear equations
= Theory of Parabolic Equations
ut =
aijiju +
biiu + cu + f
Main inventions in Parabolic Theory:
(1) aij , bi, c, f regular Maximum Principles, Schauder
estimates, Harnack inequalities; C spaces (Hlder); potential
theory; generation of semigroups.(2) coefficients only continuous or bounded W 2,p estimates,Caldern-Zygmund theory, weak solutions; Sobolev spaces.
The probabilistic approach: Diffusion as an stochasticprocess: Bachelier, Einstein, Smoluchowski, Wiener, Levy, Ito,...
dX = bdt + dWJuan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 5/77
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Nonlinear heat flows
In the last 50 years emphasis has shifted towards the Nonlinear
World. Maths more difficult, more complex and more realistic.
My group works in the areas of Nonlinear Diffusion and
Reaction Diffusion.
I will present an overview and recent results in the theory
mathematically called Nonlinear Parabolic PDEs. General
formula
ut =
iAi(u,u) +
B(x, u,u)
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 6/77
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Nonlinear heat flows
In the last 50 years emphasis has shifted towards the Nonlinear
World. Maths more difficult, more complex and more realistic.
My group works in the areas of Nonlinear Diffusion and
Reaction Diffusion.
I will present an overview and recent results in the theory
mathematically called Nonlinear Parabolic PDEs. General
formula
ut =
iAi(u,u) +
B(x, u,u)
Typical nonlinear diffusion: ut = um
Typical reaction diffusion: ut = u + up
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 6/77
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The Nonlinear Diffusion ModelsThe Stefan Problem (Lam and Clapeyron, 1833; Stefan 1880)
SE :
ut = k1u for u > 0,
ut = k2u for u < 0.TC :
u = 0,
v = L(k1u1 k2u2).
Main feature: the free boundary or moving boundary where
u = 0. TC= Transmission conditions at u = 0.
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 7/77
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The Nonlinear Diffusion ModelsThe Stefan Problem (Lam and Clapeyron, 1833; Stefan 1880)
SE :
ut = k1u for u > 0,
ut = k2u for u < 0.TC :
u = 0,
v = L(k1u1 k2u2).
Main feature: the free boundary or moving boundary where
u = 0. TC= Transmission conditions at u = 0.
The Hele-Shaw cell (Hele-Shaw, 1898; Saffman-Taylor, 1958)
u > 0, u = 0 in (t); u = 0, v = Lnu on (t).
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 7/77
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The Nonlinear Diffusion ModelsThe Stefan Problem (Lam and Clapeyron, 1833; Stefan 1880)
SE :
ut = k1u for u > 0,
ut = k2u for u < 0.TC :
u = 0,
v = L(k1u1 k2u2).
Main feature: the free boundary or moving boundary where
u = 0. TC= Transmission conditions at u = 0.
The Hele-Shaw cell (Hele-Shaw, 1898; Saffman-Taylor, 1958)
u > 0, u = 0 in (t); u = 0, v = Lnu on (t).
The Porous Medium Equation (hidden free boundary)
ut = um, m > 1.
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 7/77
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The Nonlinear Diffusion ModelsThe Stefan Problem (Lam and Clapeyron, 1833; Stefan 1880)
SE :
ut = k1u for u > 0,
ut = k2u for u < 0.TC :
u = 0,
v = L(k1u1 k2u2).
Main feature: the free boundary or moving boundary where
u = 0. TC= Transmission conditions at u = 0.
The Hele-Shaw cell (Hele-Shaw, 1898; Saffman-Taylor, 1958)
u > 0, u = 0 in (t); u = 0, v = Lnu on (t).
The Porous Medium Equation (hidden free boundary)
ut = um, m > 1.
The p-Laplacian Equation, ut = div (|u|p2u).
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 7/77
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The Reaction Diffusion ModelsThe Standard Blow-Up model (Kaplan, 1963; Fujita, 1966)
ut = u + up
Main feature: If p > 1 the norm u(, t) of the solutions goes
to infinity in finite time. Hint: Integrate ut = up.
Problem: what is the influence of diffusion / migration?
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 8/77
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The Reaction Diffusion ModelsThe Standard Blow-Up model (Kaplan, 1963; Fujita, 1966)
ut = u + up
Main feature: If p > 1 the norm u(, t) of the solutions goes
to infinity in finite time. Hint: Integrate ut = up.
Problem: what is the influence of diffusion / migration?
General scalar model
ut = A(u) + f(u)
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 8/77
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The Reaction Diffusion ModelsThe Standard Blow-Up model (Kaplan, 1963; Fujita, 1966)
ut = u + up
Main feature: If p > 1 the norm u(, t) of the solutions goes
to infinity in finite time. Hint: Integrate ut = up.
Problem: what is the influence of diffusion / migration?
General scalar model
ut = A(u) + f(u)
The system model: u = (u1, , um) chemotaxis.
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 8/77
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The Reaction Diffusion ModelsThe Standard Blow-Up model (Kaplan, 1963; Fujita, 1966)
ut = u + up
Main feature: If p > 1 the norm u(, t) of the solutions goes
to infinity in finite time. Hint: Integrate ut = up.
Problem: what is the influence of diffusion / migration?
General scalar model
ut = A(u) + f(u)
The system model: u = (u1, , um) chemotaxis.
The fluid flow models: Navier-Stokes or Euler equation
systems for incompressible flow. Any singularities?
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 8/77
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The Reaction Diffusion ModelsThe Standard Blow-Up model (Kaplan, 1963; Fujita, 1966)
ut = u + up
Main feature: If p > 1 the norm u(, t) of the solutions goes
to infinity in finite time. Hint: Integrate ut = up.
Problem: what is the influence of diffusion / migration?
General scalar model
ut = A(u) + f(u)
The system model: u = (u1, , um) chemotaxis.
The fluid flow models: Navier-Stokes or Euler equation
systems for incompressible flow. Any singularities?
The geometrical models: the Ricci flow: tgij = Rij .
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 8/77
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An opinion of John Nash, 1958:
The open problems in the area of nonlinear p.d.e. arevery relevant to applied mathematics and science as awhole, perhaps more so that the open problems in anyother area of mathematics, and the field seems poised forrapid development. It seems clear, however, that freshmethods must be employed...
Little is known about the existence, uniqueness andsmoothness of solutions of the general equations of flow fora viscous, compressible, and heat conducting fluid...
Continuity of solutions of elliptic and parabolic equations,paper published in Amer. J. Math, 80, no 4 (1958), 931-954
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 9/77
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II. Porous Medium Diffusion
ut = um = (c(u)u)
density-dependent diffusivity
c(u) = mum1[= m|u|m1]
degenerates at u = 0 if m > 1
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 10/77
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Applied motivation for the PMEFlow of gas in a porous medium (Leibenzon, 1930; Muskat
1933) m = 1 + 2
t + div (v) = 0,
v = kp, p = p().
Second line left is the Darcy law for flows in porous media (Darcy,
1856). Porous media flows are potential flows due to averaging of Navier-Stokes
on the pore scales.
To the right, put p = po , with = 1 (isothermal), > 1 (adiabatic
flow).
t = div (k
p) = div (
k
(po
)) = c+1.
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 11/77
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Applied motivation for the PMEFlow of gas in a porous medium (Leibenzon, 1930; Muskat
1933) m = 1 + 2
t + div (v) = 0,
v = kp, p = p().
Second line left is the Darcy law for flows in porous media (Darcy,
1856). Porous media flows are potential flows due to averaging of Navier-Stokes
on the pore scales.
To the right, put p = po , with = 1 (isothermal), > 1 (adiabatic
flow).
t = div (k
p) = div (
k
(po
)) = c+1.
Underground water infiltration (Boussinesq, 1903) m = 2
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 11/77
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Applied motivation IIPlasma radiation m 4 (Zeldovich-Raizer, < 1950)
Experimental fact: diffusivity at high temperatures is not constant as
in Fouriers law, due to radiation.
d
dt
cT dx =
k(T )T ndS.
Put k(T ) = koTn, apply Gauss law and you get
cT
t= div(k(T )T ) = c1Tn+1.
When k is not a power we get Tt = (T ) with (T ) = k(T ).
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 12/77
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Applied motivation IIPlasma radiation m 4 (Zeldovich-Raizer, < 1950)
Experimental fact: diffusivity at high temperatures is not constant as
in Fouriers law, due to radiation.
d
dt
cT dx =
k(T )T ndS.
Put k(T ) = koTn, apply Gauss law and you get
cT
t= div(k(T )T ) = c1Tn+1.
When k is not a power we get Tt = (T ) with (T ) = k(T ).
Spreading of populations (self-avoiding diffusion) m 2.
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 12/77
-
Applied motivation IIPlasma radiation m 4 (Zeldovich-Raizer, < 1950)
Experimental fact: diffusivity at high temperatures is not constant as
in Fouriers law, due to radiation.
d
dt
cT dx =
k(T )T ndS.
Put k(T ) = koTn, apply Gauss law and you get
cT
t= div(k(T )T ) = c1Tn+1.
When k is not a power we get Tt = (T ) with (T ) = k(T ).
Spreading of populations (self-avoiding diffusion) m 2.
Thin films under gravity (no surface tension) m = 4.
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 12/77
-
Applied motivation IIPlasma radiation m 4 (Zeldovich-Raizer, < 1950)
Experimental fact: diffusivity at high temperatures is not constant as
in Fouriers law, due to radiation.
d
dt
cT dx =
k(T )T ndS.
Put k(T ) = koTn, apply Gauss law and you get
cT
t= div(k(T )T ) = c1Tn+1.
When k is not a power we get Tt = (T ) with (T ) = k(T ).
Spreading of populations (self-avoiding diffusion) m 2.
Thin films under gravity (no surface tension) m = 4.
Kinetic limits (Carleman models, McKean, PL Lions and Toscani et al.)
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 12/77
-
Applied motivation IIPlasma radiation m 4 (Zeldovich-Raizer, < 1950)
Experimental fact: diffusivity at high temperatures is not constant as
in Fouriers law, due to radiation.
d
dt
cT dx =
k(T )T ndS.
Put k(T ) = koTn, apply Gauss law and you get
cT
t= div(k(T )T ) = c1Tn+1.
When k is not a power we get Tt = (T ) with (T ) = k(T ).
Spreading of populations (self-avoiding diffusion) m 2.
Thin films under gravity (no surface tension) m = 4.
Kinetic limits (Carleman models, McKean, PL Lions and Toscani et al.)
Many more (boundary layers, geometry).Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 12/77
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The basicsThe equation is re-written for m = 2 as
12ut = uu + |u|
2
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 13/77
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The basicsThe equation is re-written for m = 2 as
12ut = uu + |u|
2
and you can see that for u 0 it looks like the eikonal equation
ut = |u|2
This is not parabolic, but hyperbolic (propagation along characteristics).
Mixed type, mixed properties.
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 13/77
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The basicsThe equation is re-written for m = 2 as
12ut = uu + |u|
2
and you can see that for u 0 it looks like the eikonal equation
ut = |u|2
This is not parabolic, but hyperbolic (propagation along characteristics).
Mixed type, mixed properties.
No big problem when m > 1, m 6= 2. The pressure
transformation gives:
vt = (m 1)vv + |v|2
where v = cum1 is the pressure; normalization c = m/(m 1).This separates m > 1 PME - from - m < 1 FDE
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 13/77
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Planning of the Theory
These are the main topics of mathematical analysis (1958-2006):
The precise meaning of solution.
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 14/77
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Planning of the Theory
These are the main topics of mathematical analysis (1958-2006):
The precise meaning of solution.
The nonlinear approach: estimates; functional spaces.
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 14/77
-
Planning of the Theory
These are the main topics of mathematical analysis (1958-2006):
The precise meaning of solution.
The nonlinear approach: estimates; functional spaces.
Existence, non-existence. Uniqueness, non-uniqueness.
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 14/77
-
Planning of the Theory
These are the main topics of mathematical analysis (1958-2006):
The precise meaning of solution.
The nonlinear approach: estimates; functional spaces.
Existence, non-existence. Uniqueness, non-uniqueness.
Regularity of solutions: is there a limit? Ck for some k?
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 14/77
-
Planning of the Theory
These are the main topics of mathematical analysis (1958-2006):
The precise meaning of solution.
The nonlinear approach: estimates; functional spaces.
Existence, non-existence. Uniqueness, non-uniqueness.
Regularity of solutions: is there a limit? Ck for some k?
Regularity and movement of interfaces: Ck for some k?.
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 14/77
-
Planning of the Theory
These are the main topics of mathematical analysis (1958-2006):
The precise meaning of solution.
The nonlinear approach: estimates; functional spaces.
Existence, non-existence. Uniqueness, non-uniqueness.
Regularity of solutions: is there a limit? Ck for some k?
Regularity and movement of interfaces: Ck for some k?.
Asymptotic behaviour: patterns and rates? universal?
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 14/77
-
Planning of the Theory
These are the main topics of mathematical analysis (1958-2006):
The precise meaning of solution.
The nonlinear approach: estimates; functional spaces.
Existence, non-existence. Uniqueness, non-uniqueness.
Regularity of solutions: is there a limit? Ck for some k?
Regularity and movement of interfaces: Ck for some k?.
Asymptotic behaviour: patterns and rates? universal?
The probabilistic approach. Nonlinear process. Wasserstein estimates
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 14/77
-
Planning of the Theory
These are the main topics of mathematical analysis (1958-2006):
The precise meaning of solution.
The nonlinear approach: estimates; functional spaces.
Existence, non-existence. Uniqueness, non-uniqueness.
Regularity of solutions: is there a limit? Ck for some k?
Regularity and movement of interfaces: Ck for some k?.
Asymptotic behaviour: patterns and rates? universal?
The probabilistic approach. Nonlinear process. Wasserstein estimates
Generalization: fast models, inhomogeneous media,
anisotropic media, applications to geometry or image
processing; other effects.
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 14/77
-
Planning of the Theory
These are the main topics of mathematical analysis (1958-2006):
The precise meaning of solution.
The nonlinear approach: estimates; functional spaces.
Existence, non-existence. Uniqueness, non-uniqueness.
Regularity of solutions: is there a limit? Ck for some k?
Regularity and movement of interfaces: Ck for some k?.
Asymptotic behaviour: patterns and rates? universal?
The probabilistic approach. Nonlinear process. Wasserstein estimates
Generalization: fast models, inhomogeneous media,
anisotropic media, applications to geometry or image
processing; other effects.
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 14/77
-
Barenblatt profiles (ZKB)These profiles are the alternative to the Gaussian profiles.
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 15/77
-
Barenblatt profiles (ZKB)These profiles are the alternative to the Gaussian profiles.
They are source solutions. Source means that u(x, t) M (x) as
t 0.
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 15/77
-
Barenblatt profiles (ZKB)These profiles are the alternative to the Gaussian profiles.
They are source solutions. Source means that u(x, t) M (x) as
t 0.
Explicit formulas (1950):
= n2+n(m1)
, = 12+n(m1)
< 1/2
B(x, t;M) = tF(x/t), F() =(
C k2)1/(m1)
+
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 15/77
-
Barenblatt profiles (ZKB)These profiles are the alternative to the Gaussian profiles.
They are source solutions. Source means that u(x, t) M (x) as
t 0.
Explicit formulas (1950):
= n2+n(m1)
, = 12+n(m1)
< 1/2
B(x, t;M) = tF(x/t), F() =(
C k2)1/(m1)
+
x
u
BS
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 15/77
-
Barenblatt profiles (ZKB)These profiles are the alternative to the Gaussian profiles.
They are source solutions. Source means that u(x, t) M (x) as
t 0.
Explicit formulas (1950):
= n2+n(m1)
, = 12+n(m1)
< 1/2
B(x, t;M) = tF(x/t), F() =(
C k2)1/(m1)
+
x
u
BS
Height u = Ct Free boundary at distance |x| = ct
Scaling law; anomalous diffusion versus Brownian motion
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 15/77
-
Barenblatt profiles (ZKB)These profiles are the alternative to the Gaussian profiles.
They are source solutions. Source means that u(x, t) M (x) as
t 0.
Explicit formulas (1950):
= n2+n(m1)
, = 12+n(m1)
< 1/2
B(x, t;M) = tF(x/t), F() =(
C k2)1/(m1)
+
x
u
BS
Height u = Ct Free boundary at distance |x| = ct
Scaling law; anomalous diffusion versus Brownian motion
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 15/77
-
Barenblatt profiles (ZKB)These profiles are the alternative to the Gaussian profiles.
They are source solutions. Source means that u(x, t) M (x) as
t 0.
Explicit formulas (1950):
= n2+n(m1)
, = 12+n(m1)
< 1/2
B(x, t;M) = tF(x/t), F() =(
C k2)1/(m1)
+
x
u
BS
Height u = Ct Free boundary at distance |x| = ct
Scaling law; anomalous diffusion versus Brownian motion
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 15/77
-
Barenblatt profiles (ZKB)These profiles are the alternative to the Gaussian profiles.
They are source solutions. Source means that u(x, t) M (x) as
t 0.
Explicit formulas (1950):
= n2+n(m1)
, = 12+n(m1)
< 1/2
B(x, t;M) = tF(x/t), F() =(
C k2)1/(m1)
+
x
u
BS
Height u = Ct Free boundary at distance |x| = ct
Scaling law; anomalous diffusion versus Brownian motion
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 15/77
-
FDE profilesWe again have explicit formulas for 1 > m > (n 2)/n:
B(x, t;M) = tF(x/t), F() =1
(C + k2)1/(1m)
x
u(,t) t=1.15t=1.25t=1.4t=1.6
= n2n(1m)
= 12n(1m)
> 1/2
Solutions for m > 1 with fat tails (polynomial decay; anomalous distributions)
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 16/77
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FDE profilesWe again have explicit formulas for 1 > m > (n 2)/n:
B(x, t;M) = tF(x/t), F() =1
(C + k2)1/(1m)
x
u(,t) t=1.15t=1.25t=1.4t=1.6
= n2n(1m)
= 12n(1m)
> 1/2
Solutions for m > 1 with fat tails (polynomial decay; anomalous distributions)
Big problem: What happens for m < (n 2)/n? Most active branchof PME/FDE. New asymptotics, extinction, new functional properties, new geometryand physics.Many authors: J. King, geometers, ... my book Smoothing.
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 16/77
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FDE profilesWe again have explicit formulas for 1 > m > (n 2)/n:
B(x, t;M) = tF(x/t), F() =1
(C + k2)1/(1m)
x
u(,t) t=1.15t=1.25t=1.4t=1.6
= n2n(1m)
= 12n(1m)
> 1/2
Solutions for m > 1 with fat tails (polynomial decay; anomalous distributions)
Big problem: What happens for m < (n 2)/n? Most active branchof PME/FDE. New asymptotics, extinction, new functional properties, new geometryand physics.Many authors: J. King, geometers, ... my book Smoothing.
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 16/77
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Concept of solution
There are many concepts of generalized solution of the PME:
Classical solution: only in nondegenerate situations, u > 0.
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 17/77
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Concept of solution
There are many concepts of generalized solution of the PME:
Classical solution: only in nondegenerate situations, u > 0.
Limit solution: physical, but depends on the approximation (?).
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 17/77
-
Concept of solution
There are many concepts of generalized solution of the PME:
Classical solution: only in nondegenerate situations, u > 0.
Limit solution: physical, but depends on the approximation (?).
Weak solution Test against smooth functions and eliminate
derivatives on the unknown function; it is the mainstream; (Oleinik,
1958)
(u t um ) dxdt +
u0(x) (x, 0) dx = 0.
Very weak
(u t + um ) dxdt +
u0(x) (x, 0) dx = 0.
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 17/77
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More on concepts of solutionSolutions are not always weak:
Strong solution. More regular than weak but not classical: weakderivatives are Lp functions. Big benefit: usual calculus is possible.
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 18/77
-
More on concepts of solutionSolutions are not always weak:
Strong solution. More regular than weak but not classical: weakderivatives are Lp functions. Big benefit: usual calculus is possible.
Semigroup solution / mild solution. The typical product of functionaldiscretization schemes: u = {un}n, un = u(, tn),
ut = (u),un un1
h (un) = 0
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 18/77
-
More on concepts of solutionSolutions are not always weak:
Strong solution. More regular than weak but not classical: weakderivatives are Lp functions. Big benefit: usual calculus is possible.
Semigroup solution / mild solution. The typical product of functionaldiscretization schemes: u = {un}n, un = u(, tn),
ut = (u),un un1
h (un) = 0
Now put f := un1, u := un, and v = (u), u = (v):
h(u) + u = f, hv + (v) = f.
"Nonlinear elliptic equations"; Crandall-LiggettTheorems Ambrosio, Savar, Nochetto
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 18/77
-
More on concepts of solutionSolutions are not always weak:
Strong solution. More regular than weak but not classical: weakderivatives are Lp functions. Big benefit: usual calculus is possible.
Semigroup solution / mild solution. The typical product of functionaldiscretization schemes: u = {un}n, un = u(, tn),
ut = (u),un un1
h (un) = 0
Now put f := un1, u := un, and v = (u), u = (v):
h(u) + u = f, hv + (v) = f.
"Nonlinear elliptic equations"; Crandall-LiggettTheorems Ambrosio, Savar, Nochetto
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 18/77
-
More on concepts of solution II
Solutions of more complicated equations need new concepts:
Viscosity solution Two ideas: (1) add artificial viscosity and pass to
the limit; (2) viscosity concept of Crandall-Evans-Lions (1984);
adapted to PME by Caffarelli-Vazquez (1999).
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 19/77
-
More on concepts of solution II
Solutions of more complicated equations need new concepts:
Viscosity solution Two ideas: (1) add artificial viscosity and pass to
the limit; (2) viscosity concept of Crandall-Evans-Lions (1984);
adapted to PME by Caffarelli-Vazquez (1999).
Entropy solution (Kruzhkov, 1968). Invented for conservation laws;
it identifies unique physical solution from spurious weak solutions. It
is useful for general models degenerate diffusion-convection models;
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 19/77
-
More on concepts of solution II
Solutions of more complicated equations need new concepts:
Viscosity solution Two ideas: (1) add artificial viscosity and pass to
the limit; (2) viscosity concept of Crandall-Evans-Lions (1984);
adapted to PME by Caffarelli-Vazquez (1999).
Entropy solution (Kruzhkov, 1968). Invented for conservation laws;
it identifies unique physical solution from spurious weak solutions. It
is useful for general models degenerate diffusion-convection models;
Renormalized solution (Di Perna - Lions).
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 19/77
-
More on concepts of solution II
Solutions of more complicated equations need new concepts:
Viscosity solution Two ideas: (1) add artificial viscosity and pass to
the limit; (2) viscosity concept of Crandall-Evans-Lions (1984);
adapted to PME by Caffarelli-Vazquez (1999).
Entropy solution (Kruzhkov, 1968). Invented for conservation laws;
it identifies unique physical solution from spurious weak solutions. It
is useful for general models degenerate diffusion-convection models;
Renormalized solution (Di Perna - Lions).
BV solution (Volpert-Hudjaev).
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 19/77
-
More on concepts of solution II
Solutions of more complicated equations need new concepts:
Viscosity solution Two ideas: (1) add artificial viscosity and pass to
the limit; (2) viscosity concept of Crandall-Evans-Lions (1984);
adapted to PME by Caffarelli-Vazquez (1999).
Entropy solution (Kruzhkov, 1968). Invented for conservation laws;
it identifies unique physical solution from spurious weak solutions. It
is useful for general models degenerate diffusion-convection models;
Renormalized solution (Di Perna - Lions).
BV solution (Volpert-Hudjaev).
Kinetic solutions (Perthame,...).
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 19/77
-
The main estimatesBoundedness estimates: for every p 1
Ip(t) =
Rn
up(x, t) dx Ip(0)
and goes down with time
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 20/77
-
The main estimatesBoundedness estimates: for every p 1
Ip(t) =
Rn
up(x, t) dx Ip(0)
and goes down with time
Derivative estimates for compactness: The basic L2 space
estimate
1
m + 1
QT
|um|2 dxdt +
|u(x, t)|m+1dx =
|u0|m+1dx
Idea: multiplier is um
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 20/77
-
The main estimatesBoundedness estimates: for every p 1
Ip(t) =
Rn
up(x, t) dx Ip(0)
and goes down with time
Derivative estimates for compactness: The basic L2 space
estimate
1
m + 1
QT
|um|2 dxdt +
|u(x, t)|m+1dx =
|u0|m+1dx
Idea: multiplier is um
The time derivative estimate.
c
QT
|(u(m+1)/2)t |
2 dxdt +
|u(x, t)m|2dx =
|u0(x)m|2dx
Idea: multiplier is (um)tJuan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 20/77
-
The main estimatesBoundedness estimates: for every p 1
Ip(t) =
Rn
up(x, t) dx Ip(0)
and goes down with time
Derivative estimates for compactness: The basic L2 space
estimate
1
m + 1
QT
|um|2 dxdt +
|u(x, t)|m+1dx =
|u0|m+1dx
Idea: multiplier is um
The time derivative estimate.
c
QT
|(u(m+1)/2)t |
2 dxdt +
|u(x, t)m|2dx =
|u0(x)m|2dx
Idea: multiplier is (um)tJuan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 20/77
-
The main estimatesBoundedness estimates: for every p 1
Ip(t) =
Rn
up(x, t) dx Ip(0)
and goes down with time
Derivative estimates for compactness: The basic L2 space
estimate
1
m + 1
QT
|um|2 dxdt +
|u(x, t)|m+1dx =
|u0|m+1dx
Idea: multiplier is um
The time derivative estimate.
c
QT
|(u(m+1)/2)t |
2 dxdt +
|u(x, t)m|2dx =
|u0(x)m|2dx
Idea: multiplier is (um)tJuan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 20/77
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The L1 estimate. Contraction. Existence
Problem: They are not stability estimates for differences.
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 21/77
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The L1 estimate. Contraction. Existence
Problem: They are not stability estimates for differences.
The main stability estimate (L1 contraction):
d
dt
|u1(x, t) u2(x, t)| dx 0
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 21/77
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The L1 estimate. Contraction. Existence
Problem: They are not stability estimates for differences.
The main stability estimate (L1 contraction):
d
dt
|u1(x, t) u2(x, t)| dx 0
Proof. Multiply the difference of the equations for u1 and u2 by = h(w), where h is
a smooth version of Heavisides step function, and w = um1 um2 , u = u1 u2. Then,
ut h(w) dx =
w h(w) dx =
h(w)|w|2 dx 0.
Now let h h = sign +. Observe that sign (u1 u2) = sign (um1 um2 ). Then
d
dt
(u1 u2)+ dx =
ut h(u) dx 0
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 21/77
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The L1 estimate. Contraction. Existence
Problem: They are not stability estimates for differences.
The main stability estimate (L1 contraction):
d
dt
|u1(x, t) u2(x, t)| dx 0
Proof. Multiply the difference of the equations for u1 and u2 by = h(w), where h is
a smooth version of Heavisides step function, and w = um1 um2 , u = u1 u2. Then,
ut h(w) dx =
w h(w) dx =
h(w)|w|2 dx 0.
Now let h h = sign +. Observe that sign (u1 u2) = sign (um1 um2 ). Then
d
dt
(u1 u2)+ dx =
ut h(u) dx 0
Contraction is also true in H1 and in the Wasserstein W2 space
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 21/77
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The standard solutions
Let = Rn or bounded set with zero Dirichlet boundary data,n 1, 0 < T . Let us consider the PME with m > 1.
For every u0 L1(), u0 0, there exists a weak solution such
that u, um L2x,t and um L2x,t.
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 22/77
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The standard solutions
Let = Rn or bounded set with zero Dirichlet boundary data,n 1, 0 < T . Let us consider the PME with m > 1.
For every u0 L1(), u0 0, there exists a weak solution such
that u, um L2x,t and um L2x,t.
The weak solution is a strong solution in the following sense:
(i) um L2(, : H10 ()) for every > 0;
(ii) ut and um L1loc(0, : L1()) and ut = um a.e. in Q;
(iii) u C([0, T ) : L1()) and u(0) = u0.
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 22/77
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The standard solutions
Let = Rn or bounded set with zero Dirichlet boundary data,n 1, 0 < T . Let us consider the PME with m > 1.
For every u0 L1(), u0 0, there exists a weak solution such
that u, um L2x,t and um L2x,t.
The weak solution is a strong solution in the following sense:
(i) um L2(, : H10 ()) for every > 0;
(ii) ut and um L1loc(0, : L1()) and ut = um a.e. in Q;
(iii) u C([0, T ) : L1()) and u(0) = u0.
We also have bounded solutions that decay in time
0 u(x, t) Cu021 t
ultra-contractivity generalized to nonlinear cases
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 22/77
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The standard solutions
Let = Rn or bounded set with zero Dirichlet boundary data,n 1, 0 < T . Let us consider the PME with m > 1.
For every u0 L1(), u0 0, there exists a weak solution such
that u, um L2x,t and um L2x,t.
The weak solution is a strong solution in the following sense:
(i) um L2(, : H10 ()) for every > 0;
(ii) ut and um L1loc(0, : L1()) and ut = um a.e. in Q;
(iii) u C([0, T ) : L1()) and u(0) = u0.
We also have bounded solutions that decay in time
0 u(x, t) Cu021 t
ultra-contractivity generalized to nonlinear cases
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 22/77
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Regularity resultsThe universal estimate holds (Aronson-Bnilan, 79):
v C/t.
v um1 is the pressure.
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 23/77
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Regularity resultsThe universal estimate holds (Aronson-Bnilan, 79):
v C/t.
v um1 is the pressure.
(Caffarelli-Friedman, 1982) C regularity: there is an (0, 1)
such that a bounded solution defined in a cube is C
continuous.
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 23/77
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Regularity resultsThe universal estimate holds (Aronson-Bnilan, 79):
v C/t.
v um1 is the pressure.
(Caffarelli-Friedman, 1982) C regularity: there is an (0, 1)
such that a bounded solution defined in a cube is C
continuous.
If there is an interface , it is also C continuous in space time.
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 23/77
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Regularity resultsThe universal estimate holds (Aronson-Bnilan, 79):
v C/t.
v um1 is the pressure.
(Caffarelli-Friedman, 1982) C regularity: there is an (0, 1)
such that a bounded solution defined in a cube is C
continuous.
If there is an interface , it is also C continuous in space time.
How far can you go? Free boundaries are stationary (metastable) ifinitial profile is quadratic near : u0(x) = O(d2). This is calledwaiting time. Characterized by V. in 1983. Visually interesting in thin filmsspreading on a table. Existence of corner points possible whenmetastable, no C1 Aronson-Caffarelli-V. Regularity stops here in n = 1
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 23/77
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Regularity resultsThe universal estimate holds (Aronson-Bnilan, 79):
v C/t.
v um1 is the pressure.
(Caffarelli-Friedman, 1982) C regularity: there is an (0, 1)
such that a bounded solution defined in a cube is C
continuous.
If there is an interface , it is also C continuous in space time.
How far can you go? Free boundaries are stationary (metastable) ifinitial profile is quadratic near : u0(x) = O(d2). This is calledwaiting time. Characterized by V. in 1983. Visually interesting in thin filmsspreading on a table. Existence of corner points possible whenmetastable, no C1 Aronson-Caffarelli-V. Regularity stops here in n = 1
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 23/77
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Free Boundaries in several dimensions
x
t
Region where u(x,t)>0
u=0 u=0 u=0
A complex free boundary in 1-D A regular free boundary in n-D
(Caffarelli-Vazquez-Wolanski, 1987) If u0 has compact support,
then after some time T the interface and the solutions are C1,.
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 24/77
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Free Boundaries in several dimensions
x
t
Region where u(x,t)>0
u=0 u=0 u=0
A complex free boundary in 1-D A regular free boundary in n-D
(Caffarelli-Vazquez-Wolanski, 1987) If u0 has compact support,
then after some time T the interface and the solutions are C1,.
(Koch, thesis, 1997) If u0 is transversal then FB is C after T .Pressure is laterally" C. it is a broken profile always when it moves.
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 24/77
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Free Boundaries II. Holes
A free boundary with a hole in 2D, 3D is the way of showing
that focusing accelerates the viscous fluid so that the speed
becomes infinite. This is blow-up for v um1.
The setup is a viscous fluid on a table occupying an annulus of
radii r1 and r2. As time passes r2(t) grows and r1(t) goes to
the origin. As t T , the time the hole disappears, the speed
r1(t) .
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 25/77
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Free Boundaries II. Holes
A free boundary with a hole in 2D, 3D is the way of showing
that focusing accelerates the viscous fluid so that the speed
becomes infinite. This is blow-up for v um1.
The setup is a viscous fluid on a table occupying an annulus of
radii r1 and r2. As time passes r2(t) grows and r1(t) goes to
the origin. As t T , the time the hole disappears, the speed
r1(t) .
There is a semi-explicit solution displaying that behaviour
u(x, t) = (T t)F (x(T t)).
The interface is then r1(t) = a(T t). It is proved that < 1.Aronson and Graveleau, 1993. later Angenent, Aronson,...,Vazquez,
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 25/77
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III. Asymptotics
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 26/77
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Asymptotic behaviourNonlinear Central Limit Theorem
Choice of domain: IRn. Choice of data: u0(x) L1(IRn). We can write
ut = (|u|m1u) + f
Let us put f L1x,t. Let M =R
u0(x) dx +RR
f dxdt.
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 27/77
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Asymptotic behaviourNonlinear Central Limit Theorem
Choice of domain: IRn. Choice of data: u0(x) L1(IRn). We can write
ut = (|u|m1u) + f
Let us put f L1x,t. Let M =R
u0(x) dx +RR
f dxdt.
Asymptotic Theorem [Kamin and Friedman, 1980; V. 2001] LetB(x, t; M) be the Barenblatt with the asymptotic mass M ; uconverges to B after renormalization
t|u(x, t) B(x, t)| 0
For every p 1 we have
u(t) B(t)p = o(t/p), p = p/(p 1).
Note: and = /n = 1/(2 + n(m 1)) are the zoomingexponents as in B(x, t).
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 27/77
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Asymptotic behaviourNonlinear Central Limit Theorem
Choice of domain: IRn. Choice of data: u0(x) L1(IRn). We can write
ut = (|u|m1u) + f
Let us put f L1x,t. Let M =R
u0(x) dx +RR
f dxdt.
Asymptotic Theorem [Kamin and Friedman, 1980; V. 2001] LetB(x, t; M) be the Barenblatt with the asymptotic mass M ; uconverges to B after renormalization
t|u(x, t) B(x, t)| 0
For every p 1 we have
u(t) B(t)p = o(t/p), p = p/(p 1).
Note: and = /n = 1/(2 + n(m 1)) are the zoomingexponents as in B(x, t).
Starting result by FK takes u0 0, compact support and f = 0
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 27/77
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Asymptotic behaviour. Picture+ The rate cannot be improved without more information on u0+ m also less than 1 but supercritical ( with even better convergence called relative errorconvergence)m < (n 2)/n has big surprises;m = 0 ut = log u Ricci flow with strange properties;
Proof works for p-Laplacian flow
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 28/77
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Asymptotic behaviour. IIThe rates. Carrillo-Toscani 2000. Using entropy functionalwith entropy dissipation control you can prove decay rateswhen
u0(x)|x|2 dx < (finite variance):
u(t) B(t)1 = O(t),
We would like to have = 1. This problem is still open for m > 2. New results by JA
Carrillo, McCann, Del Pino, Dolbeault, Vazquez et al. include m < 1.
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 29/77
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Asymptotic behaviour. IIThe rates. Carrillo-Toscani 2000. Using entropy functionalwith entropy dissipation control you can prove decay rateswhen
u0(x)|x|2 dx < (finite variance):
u(t) B(t)1 = O(t),
We would like to have = 1. This problem is still open for m > 2. New results by JA
Carrillo, McCann, Del Pino, Dolbeault, Vazquez et al. include m < 1.
Eventual geometry, concavity and convexity Result byLee and Vazquez (2003): Here we assume compact support.There exists atime after which the pressure is concave, the domain convex, the level sets convex and
t (D2v(, t) kI) 0
uniformly in the support. The solution has only one maximum. Inner Convergence in
C.
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 29/77
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Asymptotic behaviour. IIThe rates. Carrillo-Toscani 2000. Using entropy functionalwith entropy dissipation control you can prove decay rateswhen
u0(x)|x|2 dx < (finite variance):
u(t) B(t)1 = O(t),
We would like to have = 1. This problem is still open for m > 2. New results by JA
Carrillo, McCann, Del Pino, Dolbeault, Vazquez et al. include m < 1.
Eventual geometry, concavity and convexity Result byLee and Vazquez (2003): Here we assume compact support.There exists atime after which the pressure is concave, the domain convex, the level sets convex and
t (D2v(, t) kI) 0
uniformly in the support. The solution has only one maximum. Inner Convergence in
C.
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 29/77
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Asymptotic behaviour. IIThe rates. Carrillo-Toscani 2000. Using entropy functionalwith entropy dissipation control you can prove decay rateswhen
u0(x)|x|2 dx < (finite variance):
u(t) B(t)1 = O(t),
We would like to have = 1. This problem is still open for m > 2. New results by JA
Carrillo, McCann, Del Pino, Dolbeault, Vazquez et al. include m < 1.
Eventual geometry, concavity and convexity Result byLee and Vazquez (2003): Here we assume compact support.There exists atime after which the pressure is concave, the domain convex, the level sets convex and
t (D2v(, t) kI) 0
uniformly in the support. The solution has only one maximum. Inner Convergence in
C.
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 29/77
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Calculations of the entropy ratesWe rescale the function as u(x, t) = r(t)n (y r(t), s)where r(t) is the Barenblatt radius at t + 1, and new time" iss = log(1 + t). Equation becomes
s = div ((m1 +
c
2y2)).
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 30/77
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Calculations of the entropy ratesWe rescale the function as u(x, t) = r(t)n (y r(t), s)where r(t) is the Barenblatt radius at t + 1, and new time" iss = log(1 + t). Equation becomes
s = div ((m1 +
c
2y2)).
Then define the entropy
E(u)(t) =
(1
mm +
c
2y2) dy
The minimum of entropy is identified as the Barenblatt profile.
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 30/77
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Calculations of the entropy ratesWe rescale the function as u(x, t) = r(t)n (y r(t), s)where r(t) is the Barenblatt radius at t + 1, and new time" iss = log(1 + t). Equation becomes
s = div ((m1 +
c
2y2)).
Then define the entropy
E(u)(t) =
(1
mm +
c
2y2) dy
The minimum of entropy is identified as the Barenblatt profile.
Calculate
dE
ds=
|m1 + cy|2 dy = D
Moreover,dD
ds= R, R D.
We conclude exponential decay of D and E in new time s, which is potential in real
time t. Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 30/77
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Calculations of the entropy ratesWe rescale the function as u(x, t) = r(t)n (y r(t), s)where r(t) is the Barenblatt radius at t + 1, and new time" iss = log(1 + t). Equation becomes
s = div ((m1 +
c
2y2)).
Then define the entropy
E(u)(t) =
(1
mm +
c
2y2) dy
The minimum of entropy is identified as the Barenblatt profile.
Calculate
dE
ds=
|m1 + cy|2 dy = D
Moreover,dD
ds= R, R D.
We conclude exponential decay of D and E in new time s, which is potential in real
time t. Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 30/77
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Asymptotics IV. ConcavityThe eventual concavity results of Lee and Vazquez
010
2030
4050
60
0
10
20
30
40
50
600.2
0
0.2
0.4
0.6
0.8
1
1.2
1.4
010
2030
4050
60
0
20
40
60
80
1000.2
0
0.2
0.4
0.6
0.8
1
1.2
1.4
Eventual concavity for PME in 3D and in 1D
010
2030
4050
60
0
10
20
30
400
0.2
0.4
0.6
0.8
1
1.2
1.4
010
2030
4050
60
0
10
20
30
400
0.2
0.4
0.6
0.8
1
1.2
1.4
Eventual concavity for HE Eventual concavity for FDEJuan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 31/77
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Asymptotics IV. ConcavityThe eventual concavity results of Lee and Vazquez
010
2030
4050
60
0
10
20
30
40
50
600.2
0
0.2
0.4
0.6
0.8
1
1.2
1.4
010
2030
4050
60
0
20
40
60
80
1000.2
0
0.2
0.4
0.6
0.8
1
1.2
1.4
Eventual concavity for PME in 3D and in 1D
010
2030
4050
60
0
10
20
30
400
0.2
0.4
0.6
0.8
1
1.2
1.4
010
2030
4050
60
0
10
20
30
400
0.2
0.4
0.6
0.8
1
1.2
1.4
Eventual concavity for HE Eventual concavity for FDEJuan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 31/77
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Asymptotics IV. ConcavityThe eventual concavity results of Lee and Vazquez
010
2030
4050
60
0
10
20
30
40
50
600.2
0
0.2
0.4
0.6
0.8
1
1.2
1.4
010
2030
4050
60
0
20
40
60
80
1000.2
0
0.2
0.4
0.6
0.8
1
1.2
1.4
Eventual concavity for PME in 3D and in 1D
010
2030
4050
60
0
10
20
30
400
0.2
0.4
0.6
0.8
1
1.2
1.4
010
2030
4050
60
0
10
20
30
400
0.2
0.4
0.6
0.8
1
1.2
1.4
Eventual concavity for HE Eventual concavity for FDEJuan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 31/77
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ReferencesAbout PME
J. L. Vzquez, "The Porous Medium Equation. MathematicalTheory", Oxford Univ. Press, 2006 in press. approx. 600 pages
About estimates and scaling
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 32/77
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ReferencesAbout PME
J. L. Vzquez, "The Porous Medium Equation. MathematicalTheory", Oxford Univ. Press, 2006 in press. approx. 600 pages
About estimates and scaling
J. L. Vzquez, Smoothing and Decay Estimates for NonlinearParabolic Equations of Porous Medium Type, Oxford Univ. Press,2006, 234 pages.
About asymptotic behaviour. (Following Lyapunov andBoltzmann)
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 32/77
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ReferencesAbout PME
J. L. Vzquez, "The Porous Medium Equation. MathematicalTheory", Oxford Univ. Press, 2006 in press. approx. 600 pages
About estimates and scaling
J. L. Vzquez, Smoothing and Decay Estimates for NonlinearParabolic Equations of Porous Medium Type, Oxford Univ. Press,2006, 234 pages.
About asymptotic behaviour. (Following Lyapunov andBoltzmann)
J. L. Vzquez. Asymptotic behaviour for the Porous MediumEquation posed in the whole space. Journal of Evolution Equations3 (2003), 67118.
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 32/77
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ReferencesAbout PME
J. L. Vzquez, "The Porous Medium Equation. MathematicalTheory", Oxford Univ. Press, 2006 in press. approx. 600 pages
About estimates and scaling
J. L. Vzquez, Smoothing and Decay Estimates for NonlinearParabolic Equations of Porous Medium Type, Oxford Univ. Press,2006, 234 pages.
About asymptotic behaviour. (Following Lyapunov andBoltzmann)
J. L. Vzquez. Asymptotic behaviour for the Porous MediumEquation posed in the whole space. Journal of Evolution Equations3 (2003), 67118.
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 32/77
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Probabilities. Wasserstein
Definition of Wasserstein distance.
Let P(IRn) be the set of probability measures. Let p > 0. 1, 2probability measures.
(dp(1, 2))p = inf
IRnIRn|x y|p d(x, y),
= (1, 2) is the set of all transport plans that move the
measure 1 into 2. This is a distance.
Technically, this means that is a probability measure on the
product space IRn IRn that has marginals 1 and 2. It can
be proved that we may use transport functions y = T (x)
instead of transport plans (this is Monges version of the
transportation problem).
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 33/77
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Probabilities. Wasserstein
Definition of Wasserstein distance.
Let P(IRn) be the set of probability measures. Let p > 0. 1, 2probability measures.
(dp(1, 2))p = inf
IRnIRn|x y|p d(x, y),
= (1, 2) is the set of all transport plans that move the
measure 1 into 2. This is a distance.
Technically, this means that is a probability measure on the
product space IRn IRn that has marginals 1 and 2. It can
be proved that we may use transport functions y = T (x)
instead of transport plans (this is Monges version of the
transportation problem).
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 33/77
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Wasserstein II
In principle, for any two probability measures, the infimum may
be infinite. But when 1 p < , dp defines a metric on the set
Pp of probability measures with finite p-moments,
|x|pd < . A convenient reference for this topic is Villanis
book, Topics in Optimal Transportation, 2003.
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 34/77
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Wasserstein II
In principle, for any two probability measures, the infimum may
be infinite. But when 1 p < , dp defines a metric on the set
Pp of probability measures with finite p-moments,
|x|pd < . A convenient reference for this topic is Villanis
book, Topics in Optimal Transportation, 2003.
The metric d plays an important role in controlling the location
of free boundaries. Definition d(1, 2) = inf d,(1, 2),
with
d,(1, 2) = sup{|x y| : (x, y) support()}.
In other words, d,(1, 2) is the maximal distance incurredby the transport plan , i.e., the supremum of the distances|x y| such that (A) > 0 on all small neighbourhoods A of(x, y). We call this metric the maximal transport distance.
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 34/77
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Wasserstein IIIThe contraction properties in n = 1
Theorem (Vazquez, 1983, 2004) Let 1 and 2 be finite nonnegative
Radon measures on the line and assume that 1(R) = 2(R) and
d(1, 2) is finite. Let ui(x, t) the continuous weak solution of the PME
with initial data i. Then, for every t2 > t1 > 0
d(u1(, t2), u2(, t2)) d(u1(, t1), u2(, t1)) d(1, 2).
Theorem (Carrillo, 2004) Contraction holds in dp for all p [1,).
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 35/77
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Wasserstein IIIThe contraction properties in n = 1
Theorem (Vazquez, 1983, 2004) Let 1 and 2 be finite nonnegative
Radon measures on the line and assume that 1(R) = 2(R) and
d(1, 2) is finite. Let ui(x, t) the continuous weak solution of the PME
with initial data i. Then, for every t2 > t1 > 0
d(u1(, t2), u2(, t2)) d(u1(, t1), u2(, t1)) d(1, 2).
Theorem (Carrillo, 2004) Contraction holds in dp for all p [1,).
Contraction properties in n > 1
Theorem (McCann, 2003) For the heat equation contraction holds for
all p and n 1. (Carrillo, McCann, Villani 2004) For the PME
Contraction holds in d2 for all n 1.
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 35/77
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Wasserstein IIIThe contraction properties in n = 1
Theorem (Vazquez, 1983, 2004) Let 1 and 2 be finite nonnegative
Radon measures on the line and assume that 1(R) = 2(R) and
d(1, 2) is finite. Let ui(x, t) the continuous weak solution of the PME
with initial data i. Then, for every t2 > t1 > 0
d(u1(, t2), u2(, t2)) d(u1(, t1), u2(, t1)) d(1, 2).
Theorem (Carrillo, 2004) Contraction holds in dp for all p [1,).
Contraction properties in n > 1
Theorem (McCann, 2003) For the heat equation contraction holds for
all p and n 1. (Carrillo, McCann, Villani 2004) For the PME
Contraction holds in d2 for all n 1.
Theorem (Vazquez, 2004) For the PME, contraction does not hold ind for any n > 1. It does not in dp for p p(n) > 2.
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 35/77
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New fieldsFast diffusion (m < 1)
ut = (um1u) = (
u
up)
Geometrical applications: Yamabe flow, m = (n 2)/n. Extinction.see our book Smoothing
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 36/77
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New fieldsFast diffusion (m < 1)
ut = (um1u) = (
u
up)
Geometrical applications: Yamabe flow, m = (n 2)/n. Extinction.see our book Smoothing
Systems. The chemotaxis system leads to the formation ofsingularities in finite time through aggregation/concentrationWork by Herrero and Velazquez; Dolbeault and Perthame
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 36/77
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New fieldsFast diffusion (m < 1)
ut = (um1u) = (
u
up)
Geometrical applications: Yamabe flow, m = (n 2)/n. Extinction.see our book Smoothing
Systems. The chemotaxis system leads to the formation ofsingularities in finite time through aggregation/concentrationWork by Herrero and Velazquez; Dolbeault and Perthame
General parabolic-hyperbolic equations and systems. Entropysolutions, renormelized solutions, shocks; limited diffusionWork by J. Carrillo, Benilan, Wittbold, ...
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 36/77
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New fieldsFast diffusion (m < 1)
ut = (um1u) = (
u
up)
Geometrical applications: Yamabe flow, m = (n 2)/n. Extinction.see our book Smoothing
Systems. The chemotaxis system leads to the formation ofsingularities in finite time through aggregation/concentrationWork by Herrero and Velazquez; Dolbeault and Perthame
General parabolic-hyperbolic equations and systems. Entropysolutions, renormelized solutions, shocks; limited diffusionWork by J. Carrillo, Benilan, Wittbold, ...
Nonlinear diffusion in image processing. Gradient dependentdiffusion. Work on total variation models.Andreu, Caselles, Mazon, ...
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 36/77
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Logarithmic Diffusion ISpecial case: the limit case m = 0 of the PME/FDE in two spacedimensions
tu = div (u1u) = log(u).
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 37/77
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Logarithmic Diffusion ISpecial case: the limit case m = 0 of the PME/FDE in two spacedimensions
tu = div (u1u) = log(u).
Application to Differential Geometry: it describes the evolution of aconformally flat metric g given by ds2 = u dr2 by means of its Ricci curvature:
tgij = 2 Ricij = R gij ,
where Ric is the Ricci tensor and R the scalar curvature.
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 37/77
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Logarithmic Diffusion ISpecial case: the limit case m = 0 of the PME/FDE in two spacedimensions
tu = div (u1u) = log(u).
Application to Differential Geometry: it describes the evolution of aconformally flat metric g given by ds2 = u dr2 by means of its Ricci curvature:
tgij = 2 Ricij = R gij ,
where Ric is the Ricci tensor and R the scalar curvature.
This flow, proposed by R. Hamilton 1988, is the equivalent of the Yamabe flow in two
dimensions. Remark: what we usually call the mass of the solution (thinking in
diffusion terms) becomes here the total area of the surface, A =RR
u dx1dx2.
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 37/77
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Logarithmic Diffusion ISpecial case: the limit case m = 0 of the PME/FDE in two spacedimensions
tu = div (u1u) = log(u).
Application to Differential Geometry: it describes the evolution of aconformally flat metric g given by ds2 = u dr2 by means of its Ricci curvature:
tgij = 2 Ricij = R gij ,
where Ric is the Ricci tensor and R the scalar curvature.
This flow, proposed by R. Hamilton 1988, is the equivalent of the Yamabe flow in two
dimensions. Remark: what we usually call the mass of the solution (thinking in
diffusion terms) becomes here the total area of the surface, A =RR
u dx1dx2.
Main feature: the 4 mass loss law. The maximal solution of theCauchy problem with L1 data satisfies
u(x, t)dx =
u0(x)dx 4 t.
and lives for the time 0 < t < T =
IR2u0(x) dx/4.
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 37/77
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Logarithmic Diffusion ISpecial case: the limit case m = 0 of the PME/FDE in two spacedimensions
tu = div (u1u) = log(u).
Application to Differential Geometry: it describes the evolution of aconformally flat metric g given by ds2 = u dr2 by means of its Ricci curvature:
tgij = 2 Ricij = R gij ,
where Ric is the Ricci tensor and R the scalar curvature.
This flow, proposed by R. Hamilton 1988, is the equivalent of the Yamabe flow in two
dimensions. Remark: what we usually call the mass of the solution (thinking in
diffusion terms) becomes here the total area of the surface, A =RR
u dx1dx2.
Main feature: the 4 mass loss law. The maximal solution of theCauchy problem with L1 data satisfies
u(x, t)dx =
u0(x)dx 4 t.
and lives for the time 0 < t < T =
IR2u0(x) dx/4.
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 37/77
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Log Diffusion II. MeasuresWe consider in d = 2 the log-diffusion equation
ut = logu
We assume an initial mass distribution of the form
d0(x) = f(x)dx +X
Mi (x xi).
where f 0 is an integrable function in IR2, the xi, i = 1, , n, are a finite collectionof (different) points on the plane, and we are given masses0 < Mn M2 M1. The total mass is
M = M0 +X
Mi, with M0 =Z
f dx.
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 38/77
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Log Diffusion II. MeasuresWe consider in d = 2 the log-diffusion equation
ut = logu
We assume an initial mass distribution of the form
d0(x) = f(x)dx +X
Mi (x xi).
where f 0 is an integrable function in IR2, the xi, i = 1, , n, are a finite collectionof (different) points on the plane, and we are given masses0 < Mn M2 M1. The total mass is
M = M0 +X
Mi, with M0 =Z
f dx.
We construct a solution for this problem as the limit of naturalapproximate problems with smooth data. The measure shrinks butonly gradually:
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 38/77
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Log Diffusion II. MeasuresWe consider in d = 2 the log-diffusion equation
ut = logu
We assume an initial mass distribution of the form
d0(x) = f(x)dx +X
Mi (x xi).
where f 0 is an integrable function in IR2, the xi, i = 1, , n, are a finite collectionof (different) points on the plane, and we are given masses0 < Mn M2 M1. The total mass is
M = M0 +X
Mi, with M0 =Z
f dx.
We construct a solution for this problem as the limit of naturalapproximate problems with smooth data. The measure shrinks butonly gradually:
J. L. Vzquez, Evolution of point masses by planar logarithmicdiffusion. Finite-time blow-down, Preprint, 2006.
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 38/77
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Pictures
About fast diffusion in the limit
1 0.5 0 0.5 10
0.2
0.4
0.6
0.8
1
1.2
1.4
m=0.5
1 0.5 0 0.5 10
1
2
3
4
5
6
7
8
m=0.05
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 39/77
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Pictures
About fast diffusion in the limit
1 0.5 0 0.5 10
0.2
0.4
0.6
0.8
1
1.2
1.4
m=0.5
1 0.5 0 0.5 10
1
2
3
4
5
6
7
8
m=0.05
Evolution of the ZKB solutions; dimension n = 2.
Left: intermediate fast diffusion exponent. Right: exponent near m = 0
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 39/77
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Pictures
About fast diffusion in the limit
1 0.5 0 0.5 10
0.2
0.4
0.6
0.8
1
1.2
1.4
m=0.5
1 0.5 0 0.5 10
1
2
3
4
5
6
7
8
m=0.05
Evolution of the ZKB solutions; dimension n = 2.
Left: intermediate fast diffusion exponent. Right: exponent near m = 0
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 39/77
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Pictures
About fast diffusion in the limit
1 0.5 0 0.5 10
0.2
0.4
0.6
0.8
1
1.2
1.4
m=0.5
1 0.5 0 0.5 10
1
2
3
4
5
6
7
8
m=0.05
Evolution of the ZKB solutions; dimension n = 2.
Left: intermediate fast diffusion exponent. Right: exponent near m = 0
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 39/77
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Log Diffusion IIITheorem Under the stated conditions, there exists a limit solution of the log-diffusion
Cauchy problem posed in the whole plane with initial data 0. It exists in the time
interval 0 < t < T with T = M/2. It satisfies the conditions of maximality at
infinity ( uniqueness). The solution is continuous into the space of Radon
measures, u C([0, T ] : M(IR2)), and it has two components, singular and
regular.
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 40/77
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Log Diffusion IIITheorem Under the stated conditions, there exists a limit solution of the log-diffusion
Cauchy problem posed in the whole plane with initial data 0. It exists in the time
interval 0 < t < T with T = M/2. It satisfies the conditions of maximality at
infinity ( uniqueness). The solution is continuous into the space of Radon
measures, u C([0, T ] : M(IR2)), and it has two components, singular and
regular.
The singular part amounts to a collection of (shrinking in time) point masses
concentrated at x = xi:
using =
i
(Mi 4t)+(x xi).The regular part can be described as follows:
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 40/77
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Log Diffusion IIITheorem Under the stated conditions, there exists a limit solution of the log-diffusion
Cauchy problem posed in the whole plane with initial data 0. It exists in the time
interval 0 < t < T with T = M/2. It satisfies the conditions of maximality at
infinity ( uniqueness). The solution is continuous into the space of Radon
measures, u C([0, T ] : M(IR2)), and it has two components, singular and
regular.
The singular part amounts to a collection of (shrinking in time) point masses
concentrated at x = xi:
using =
i
(Mi 4t)+(x xi).The regular part can be described as follows:
(i) When restricted to the perforated domain Q = (IR2
i{xi}) (0, T ), u is
a smooth solution of the equation, it takes the initial data f(x) for a.e. x 6= xi, and
vanishes at t = T .
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 40/77
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Log Diffusion IIITheorem Under the stated conditions, there exists a limit solution of the log-diffusion
Cauchy problem posed in the whole plane with initial data 0. It exists in the time
interval 0 < t < T with T = M/2. It satisfies the conditions of maximality at
infinity ( uniqueness). The solution is continuous into the space of Radon
measures, u C([0, T ] : M(IR2)), and it has two components, singular and
regular.
The singular part amounts to a collection of (shrinking in time) point masses
concentrated at x = xi:
using =
i
(Mi 4t)+(x xi).The regular part can be described as follows:
(i) When restricted to the perforated domain Q = (IR2
i{xi}) (0, T ), u is
a smooth solution of the equation, it takes the initial data f(x) for a.e. x 6= xi, and
vanishes at t = T .
(ii) At every time t (0, T ) the total mass of the regular part is the result of adding
to M0 the inflow coming from the point masses and subtracting the outflow at infinity.Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 40/77
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Log Diffusion IIITheorem Under the stated conditions, there exists a limit solution of the log-diffusion
Cauchy problem posed in the whole plane with initial data 0. It exists in the time
interval 0 < t < T with T = M/2. It satisfies the conditions of maximality at
infinity ( uniqueness). The solution is continuous into the space of Radon
measures, u C([0, T ] : M(IR2)), and it has two components, singular and
regular.
The singular part amounts to a collection of (shrinking in time) point masses
concentrated at x = xi:
using =
i
(Mi 4t)+(x xi).The regular part can be described as follows:
(i) When restricted to the perforated domain Q = (IR2
i{xi}) (0, T ), u is
a smooth solution of the equation, it takes the initial data f(x) for a.e. x 6= xi, and
vanishes at t = T .
(ii) At every time t (0, T ) the total mass of the regular part is the result of adding
to M0 the inflow coming from the point masses and subtracting the outflow at infinity.Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 40/77
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Log Diffusion IV(iii) [end of Theorem] Before each point mass disappears, we get asingular behaviour near the mass location as in the radial case, while later on the
solution is regular around that point.
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 41/77
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Log Diffusion IV(iii) [end of Theorem] Before each point mass disappears, we get asingular behaviour near the mass location as in the radial case, while later on the
solution is regular around that point.
The theory of measure-valued solutions of diffusion equations is stillin its beginning.
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 41/77
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Log Diffusion IV(iii) [end of Theorem] Before each point mass disappears, we get asingular behaviour near the mass location as in the radial case, while later on the
solution is regular around that point.
The theory of measure-valued solutions of diffusion equations is stillin its beginning.
A large number of open problems are posed for subcritical fastdiffusion.
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 41/77
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Log Diffusion IV(iii) [end of Theorem] Before each point mass disappears, we get asingular behaviour near the mass location as in the radial case, while later on the
solution is regular around that point.
The theory of measure-valued solutions of diffusion equations is stillin its beginning.
A large number of open problems are posed for subcritical fastdiffusion.
Related to singularities in elliptic theory by Brezis, Marcus, Ponceand the author.
ut = (u),un un1
h (un) = 0
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 41/77
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Log Diffusion IV(iii) [end of Theorem] Before each point mass disappears, we get asingular behaviour near the mass location as in the radial case, while later on the
solution is regular around that point.
The theory of measure-valued solutions of diffusion equations is stillin its beginning.
A large number of open problems are posed for subcritical fastdiffusion.
Related to singularities in elliptic theory by Brezis, Marcus, Ponceand the author.
ut = (u),un un1
h (un) = 0
Now put f := un1, u := un, and v = (u), u = (v):
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 41/77
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Log Diffusion IV(iii) [end of Theorem] Before each point mass disappears, we get asingular behaviour near the mass location as in the radial case, while later on the
solution is regular around that point.
The theory of measure-valued solutions of diffusion equations is stillin its beginning.
A large number of open problems are posed for subcritical fastdiffusion.
Related to singularities in elliptic theory by Brezis, Marcus, Ponceand the author.
ut = (u),un un1
h (un) = 0
Now put f := un1, u := un, and v = (u), u = (v):
h(u) + u = f, hv + (v) = f.
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 41/77
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Open problemsExtend theory to anisotropic equations of the general form
B(u)t =
i
iAi(x, t, u, Du)
entropy and kinetic solutions are used: Evans, Perthame, Karlsen,...
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 42/77
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Open problemsExtend theory to anisotropic equations of the general form
B(u)t =
i
iAi(x, t, u, Du)
entropy and kinetic solutions are used: Evans, Perthame, Karlsen,...
Do complete theory for fast diffusion equations, m < 1.
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 42/77
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Open problemsExtend theory to anisotropic equations of the general form
B(u)t =
i
iAi(x, t, u, Du)
entropy and kinetic solutions are used: Evans, Perthame, Karlsen,...
Do complete theory for fast diffusion equations, m < 1.
Do the theory on Riemannian manifolds (ongoing project with
Bonforte and Grillo)
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 42/77
-
Open problemsExtend theory to anisotropic equations of the general form
B(u)t =
i
iAi(x, t, u, Du)
entropy and kinetic solutions are used: Evans, Perthame, Karlsen,...
Do complete theory for fast diffusion equations, m < 1.
Do the theory on Riemannian manifolds (ongoing project with
Bonforte and Grillo)
Get complete set of decay estimates for asymptotic
convergence to Barenblatt profiles or anomalous profiles.
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 42/77
-
Open problemsExtend theory to anisotropic equations of the general form
B(u)t =
i
iAi(x, t, u, Du)
entropy and kinetic solutions are used: Evans, Perthame, Karlsen,...
Do complete theory for fast diffusion equations, m < 1.
Do the theory on Riemannian manifolds (ongoing project with
Bonforte and Grillo)
Get complete set of decay estimates for asymptotic
convergence to Barenblatt profiles or anomalous profiles.
Get whole series of asymptotic decomposition
u(x, t) B(x, t;M) + t11(x) + t22(x) +
It is done in d = 1 (Barenblatt and Zeldovich, Angenent)
Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 42/77
-
Open problemsExtend theory to anisotropic equations of the general form
B(u)t =
i
iAi(x, t, u, Du)
entropy and kinetic solutions are used: Evans, Perthame, Karlsen,...
Do complete theory for fast diffusion equations, m < 1.
Do the theory on Riemannian manifolds (ongoing project with
Bonforte and Grillo)
Get complete set of decay estimates for asymptotic
convergence to Barenblatt profiles or anomalous profiles.
Get whole series of asymptotic decomposition
u(x, t) B(x, t;M) + t11(x) + t22(x) +
It is done in d = 1 (Barenblatt and Zeldovich, Angenent)
Get local universal estimate: v C(t).Juan L. Vazquez - Nonlinear Diffusion. Porous Medium and Fast Diffusion Equations p. 42/77
IntroductionIntroductionIntroductionIntroductionIntroduction
The heat equation originsThe heat equation origins
Linear heat flowsLinear heat flowsLinear heat flows
Nonlinear heat flowsNonlinear heat flows
The Nonlinear Diffusion ModelsThe Nonlinear Diffusion ModelsThe Nonlinear Diffusion ModelsThe Nonlinear Diffusion Models
The Reaction Diffusion ModelsThe Reaction Diffusion ModelsThe Reaction Diffusion ModelsThe Reaction Diffusion ModelsThe Reaction Diffusion Models
Applied motivation for the PMEApplied motivation for the PME
Applied motivation II Applied motivation II Applied motivation II Applied motivation II Applied motivation II
The basicsThe basicsThe basics
Planning of the TheoryPlanning of the TheoryPlanning of the TheoryPlanning of the TheoryPlanning of the TheoryPlanning of the TheoryPlanning of the TheoryPlanning of the TheoryPlanning of the Theory
Barenblatt profiles (ZKB) Barenblatt profiles (ZKB)
Barenblatt profiles (ZKB)
Barenblatt profiles (ZKB)
Barenblatt profiles (ZKB)
Barenblatt profiles (ZKB)
Barenblatt profiles (ZKB)
Barenblatt profiles (ZKB)
FDE profiles FDE profiles FDE profiles
Concept of solutionConcept of solutionConcept of solution
More on concepts of solutionMore on concepts of solutionMore on concepts of solutionMore on concepts of solution
More on concepts of solution IIMore on concepts of solution IIMore on concepts of solution IIMore on concepts of solution IIMore on concepts of solution II
The main estimatesThe main estimatesThe main estimatesThe main estimatesThe main estimates
The $L^1$ estimate. Contraction. ExistenceThe $L^1$ estimate. Contraction. ExistenceThe $L^1$ estimate. Contraction. ExistenceThe $L^1$ estimate. Contraction. Existence
The standard solutionsThe standard solutionsThe standard solutionsThe standard solutions
Regularity resultsRegularity resultsRegularity resultsRegularity resultsRegularity results
Free Boundaries in several dimensionsFree Boundaries in several dimensions
Free Boundaries II. HolesFree Boundaries II. Holes
Asymptotic behaviourAsymptotic behaviourAsymptotic behaviour
Asymptotic behaviour. PictureAsymptotic behaviour. IIAsymptotic behaviour. IIAsymptotic behaviour. IIAsymptotic behaviour. II
Calculations of the entropy ratesCalculations of the entropy ratesCalculations of the entropy ratesCalculations of the entropy rates
Asymptotics IV. Concavity Asymptotics IV. Concavity Asymptotics IV. Concavity
ReferencesReferencesReferencesReferences
Probabilities. WassersteinProbabilities. Wasserstein
Wasserstein IIWasserstein II
Wasserstein IIIWasserstein IIIWasserstein III
New fieldsNew fieldsNew fieldsNew fields
Logarithmic Diffusion I Logarithmic Diffusion I Logarithmic Diffusion I Logarithmic Diffusion I Logarithmic Diffusion I
Log Diffusion II. MeasuresLog Diffusion II. MeasuresLog Diffusion II. Measures
PicturesPicturesPicturesPictures
Log Diffusion IIILog Diffusion IIILog Diffusion IIILog Diffusion IIILog Diffusion III
Log Diffusion IV Log Diffusion IV Log Diffusion IV Log Diffusion IV Log Diffusion IV Log Diffusion IV
Open problemsOpen problemsOpen problemsOpen problemsOpen problemsOpen problems