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Weighted L1 estimates Outline of the talk First Pointwise Estimates Part 1 Part 2 Part 3 Asymptotic behaviour Fractional nonlinear degenerate diffusion equations on bounded domains Matteo Bonforte Departamento de Matemticas, Universidad


  1. Weighted L1 estimates Outline of the talk First Pointwise Estimates Part 1 Part 2 Part 3 Asymptotic behaviour Fractional nonlinear degenerate diffusion equations on bounded domains Matteo Bonforte Departamento de Matemáticas, Universidad Autónoma de Madrid, Campus de Cantoblanco 28049 Madrid, Spain matteo.bonforte@uam.es http://www.uam.es/matteo.bonforte Third Workshop on Fractional Calculus, Probability and Non-Local Operators: Applications and Recent Developments BCAM, Bilbao, Spain, November 18-20, 2015

  2. Weighted L1 estimates Outline of the talk First Pointwise Estimates Part 1 Part 2 Part 3 Asymptotic behaviour References References: [BV1] M. B., J. L. V ÁZQUEZ , A Priori Estimates for Fractional Nonlinear Degenerate Diffusion Equations on bounded domains. Arch. Rat. Mech. Anal. (2015). [BV2] M. B., J. L. V ÁZQUEZ , Fractional Nonlinear Degenerate Diffusion Equations on Bounded Domains Part I. Existence, Uniqueness and Upper Bounds To appear in Nonlin. Anal. TMA (2015). [BSV] M. B., Y. S IRE , J. L. V ÁZQUEZ , Existence, Uniqueness and Asymptotic behaviour for fractional porous medium equations on bounded domains. Discr. Cont. Dyn. Sys. (2015). [BV3] M. B., J. L. V ÁZQUEZ , Fractional Nonlinear Degenerate Diffusion Equations on Bounded Domains Part II. Positivity, Boundary behaviour and Harnack inequalities. In preparation (2015).

  3. Weighted L1 estimates Outline of the talk First Pointwise Estimates Part 1 Part 2 Part 3 Asymptotic behaviour Summary Outline of the talk The setup of the problem Existence and uniqueness First pointwise estimates Upper Estimates Harnack Inequalities Asymptotic behaviour of nonnegative solutions

  4. Weighted L1 estimates Outline of the talk First Pointwise Estimates Part 1 Part 2 Part 3 Asymptotic behaviour Summary The setup of the problem Assumption on the operator L and on the nonlinearity F Mild Solutions and Monotonicity Estimates Assumption on the inverse operator L − 1 Examples of operators The “dual” formulation of the problem Existence and uniqueness of weak dual solutions

  5. Weighted L1 estimates Outline of the talk First Pointwise Estimates Part 1 Part 2 Part 3 Asymptotic behaviour Introduction Homogeneous Dirichlet Problem for Fractional Nonlinear Degenerate Diffusion Equations  u t + L F ( u ) = 0 , in ( 0 , + ∞ ) × Ω  (HDP) u ( 0 , x ) = u 0 ( x ) , in Ω u ( t , x ) = 0 , on the lateral boundary.  where: Ω ⊂ R N is a bounded domain with smooth boundary and N ≥ 1. The linear operator L will be: sub-Markovian operator densely defined in L 1 (Ω) . A wide class of linear operators fall in this class: all fractional Laplacians on domains . The most studied nonlinearity is F ( u ) = | u | m − 1 u , with m > 1. We deal with Degenerate diffusion of Porous Medium type. More general classes of “degenerate” nonlinearities F are allowed. The homogeneous boundary condition is posed on the lateral boundary, which may take different forms, depending on the particular choice of the operator L .

  6. Weighted L1 estimates Outline of the talk First Pointwise Estimates Part 1 Part 2 Part 3 Asymptotic behaviour Introduction Homogeneous Dirichlet Problem for Fractional Nonlinear Degenerate Diffusion Equations  u t + L F ( u ) = 0 , in ( 0 , + ∞ ) × Ω  (HDP) u ( 0 , x ) = u 0 ( x ) , in Ω u ( t , x ) = 0 , on the lateral boundary.  where: Ω ⊂ R N is a bounded domain with smooth boundary and N ≥ 1. The linear operator L will be: sub-Markovian operator densely defined in L 1 (Ω) . A wide class of linear operators fall in this class: all fractional Laplacians on domains . The most studied nonlinearity is F ( u ) = | u | m − 1 u , with m > 1. We deal with Degenerate diffusion of Porous Medium type. More general classes of “degenerate” nonlinearities F are allowed. The homogeneous boundary condition is posed on the lateral boundary, which may take different forms, depending on the particular choice of the operator L .

  7. Weighted L1 estimates Outline of the talk First Pointwise Estimates Part 1 Part 2 Part 3 Asymptotic behaviour Introduction Homogeneous Dirichlet Problem for Fractional Nonlinear Degenerate Diffusion Equations  u t + L F ( u ) = 0 , in ( 0 , + ∞ ) × Ω  (HDP) u ( 0 , x ) = u 0 ( x ) , in Ω u ( t , x ) = 0 , on the lateral boundary.  where: Ω ⊂ R N is a bounded domain with smooth boundary and N ≥ 1. The linear operator L will be: sub-Markovian operator densely defined in L 1 (Ω) . A wide class of linear operators fall in this class: all fractional Laplacians on domains . The most studied nonlinearity is F ( u ) = | u | m − 1 u , with m > 1. We deal with Degenerate diffusion of Porous Medium type. More general classes of “degenerate” nonlinearities F are allowed. The homogeneous boundary condition is posed on the lateral boundary, which may take different forms, depending on the particular choice of the operator L .

  8. Weighted L1 estimates Outline of the talk First Pointwise Estimates Part 1 Part 2 Part 3 Asymptotic behaviour Introduction Homogeneous Dirichlet Problem for Fractional Nonlinear Degenerate Diffusion Equations  u t + L F ( u ) = 0 , in ( 0 , + ∞ ) × Ω  (HDP) u ( 0 , x ) = u 0 ( x ) , in Ω u ( t , x ) = 0 , on the lateral boundary.  where: Ω ⊂ R N is a bounded domain with smooth boundary and N ≥ 1. The linear operator L will be: sub-Markovian operator densely defined in L 1 (Ω) . A wide class of linear operators fall in this class: all fractional Laplacians on domains . The most studied nonlinearity is F ( u ) = | u | m − 1 u , with m > 1. We deal with Degenerate diffusion of Porous Medium type. More general classes of “degenerate” nonlinearities F are allowed. The homogeneous boundary condition is posed on the lateral boundary, which may take different forms, depending on the particular choice of the operator L .

  9. Weighted L1 estimates Outline of the talk First Pointwise Estimates Part 1 Part 2 Part 3 Asymptotic behaviour About the operator L The linear operator L : dom ( A ) ⊆ L 1 (Ω) → L 1 (Ω) is assumed to be densely defined and sub-Markovian , more precisely satisfying ( A 1 ) and ( A 2 ) below: (A1) L is m -accretive on L 1 (Ω) , (A2) If 0 ≤ f ≤ 1 then 0 ≤ e − t L f ≤ 1 , or equivalently, (A2’) If β is a maximal monotone graph in R × R with 0 ∈ β ( 0 ) , u ∈ dom ( L ) , L u ∈ L p (Ω) , 1 ≤ p ≤ ∞ , v ∈ L p / ( p − 1 ) (Ω) , v ( x ) ∈ β ( u ( x )) a.e , then � v ( x ) L u ( x ) d x ≥ 0 Ω These assumptions are needed for existence (and uniqueness) of Remark. semigroup (mild) solutions for the nonlinear equation u t = L F ( u ) , through a variant of the celebrated Crandall-Liggett theorem, as done by Benilan, Crandall and Pierre: M. G. Crandall, T.M. Liggett. Generation of semi-groups of nonlinear transformations on general Banach spaces , Amer. J. Math. 93 (1971) 265–298. M. Crandall, M. Pierre, Regularizing Effectd for u t = A ϕ ( u ) in L 1 , J. Funct. Anal. 45 , (1982), 194-212

  10. Weighted L1 estimates Outline of the talk First Pointwise Estimates Part 1 Part 2 Part 3 Asymptotic behaviour About the operator L The linear operator L : dom ( A ) ⊆ L 1 (Ω) → L 1 (Ω) is assumed to be densely defined and sub-Markovian , more precisely satisfying ( A 1 ) and ( A 2 ) below: (A1) L is m -accretive on L 1 (Ω) , (A2) If 0 ≤ f ≤ 1 then 0 ≤ e − t L f ≤ 1 , or equivalently, (A2’) If β is a maximal monotone graph in R × R with 0 ∈ β ( 0 ) , u ∈ dom ( L ) , L u ∈ L p (Ω) , 1 ≤ p ≤ ∞ , v ∈ L p / ( p − 1 ) (Ω) , v ( x ) ∈ β ( u ( x )) a.e , then � v ( x ) L u ( x ) d x ≥ 0 Ω These assumptions are needed for existence (and uniqueness) of Remark. semigroup (mild) solutions for the nonlinear equation u t = L F ( u ) , through a variant of the celebrated Crandall-Liggett theorem, as done by Benilan, Crandall and Pierre: M. G. Crandall, T.M. Liggett. Generation of semi-groups of nonlinear transformations on general Banach spaces , Amer. J. Math. 93 (1971) 265–298. M. Crandall, M. Pierre, Regularizing Effectd for u t = A ϕ ( u ) in L 1 , J. Funct. Anal. 45 , (1982), 194-212

  11. Weighted L1 estimates Outline of the talk First Pointwise Estimates Part 1 Part 2 Part 3 Asymptotic behaviour About the operator L The linear operator L : dom ( A ) ⊆ L 1 (Ω) → L 1 (Ω) is assumed to be densely defined and sub-Markovian , more precisely satisfying ( A 1 ) and ( A 2 ) below: (A1) L is m -accretive on L 1 (Ω) , (A2) If 0 ≤ f ≤ 1 then 0 ≤ e − t L f ≤ 1 , or equivalently, (A2’) If β is a maximal monotone graph in R × R with 0 ∈ β ( 0 ) , u ∈ dom ( L ) , L u ∈ L p (Ω) , 1 ≤ p ≤ ∞ , v ∈ L p / ( p − 1 ) (Ω) , v ( x ) ∈ β ( u ( x )) a.e , then � v ( x ) L u ( x ) d x ≥ 0 Ω These assumptions are needed for existence (and uniqueness) of Remark. semigroup (mild) solutions for the nonlinear equation u t = L F ( u ) , through a variant of the celebrated Crandall-Liggett theorem, as done by Benilan, Crandall and Pierre: M. G. Crandall, T.M. Liggett. Generation of semi-groups of nonlinear transformations on general Banach spaces , Amer. J. Math. 93 (1971) 265–298. M. Crandall, M. Pierre, Regularizing Effectd for u t = A ϕ ( u ) in L 1 , J. Funct. Anal. 45 , (1982), 194-212

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