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Regularity for systems of PDEs arising in continuum thermodynamics Miroslav Bul cek Mathematical Institute of the Charles University Sokolovsk a 83, 186 75 Prague 8, Czech Republic Challenges in analysis and modeling - K. R.


  1. Regularity for systems of PDEs arising in continuum thermodynamics Miroslav Bul´ ıˇ cek Mathematical Institute of the Charles University Sokolovsk´ a 83, 186 75 Prague 8, Czech Republic Challenges in analysis and modeling - K. R. Rajagopal March 31, 2012 Bul´ ıˇ cek (Charles University in Prague) Regularity for systems of PDEs March 31, 2012 1 / 15

  2. Outline Why to study regularity of PDEs to have fun to learn something from physics what kind of regularity? weak & strong & classical solution to justify the model (in case regularity holds) to justify the numerical scheme and the error estimate (in case regularity holds) to show that the model is wrong Bul´ ıˇ cek (Charles University in Prague) Regularity for systems of PDEs March 31, 2012 2 / 15

  3. Outline Why to study regularity of PDEs to have fun to learn something from physics what kind of regularity? weak & strong & classical solution to justify the model (in case regularity holds) to justify the numerical scheme and the error estimate (in case regularity holds) to show that the model is wrong Bul´ ıˇ cek (Charles University in Prague) Regularity for systems of PDEs March 31, 2012 2 / 15

  4. Outline Why to study regularity of PDEs to have fun to learn something from physics what kind of regularity? weak & strong & classical solution to justify the model (in case regularity holds) to justify the numerical scheme and the error estimate (in case regularity holds) to show that the model is wrong Bul´ ıˇ cek (Charles University in Prague) Regularity for systems of PDEs March 31, 2012 2 / 15

  5. Outline Why to study regularity of PDEs to have fun to learn something from physics what kind of regularity? weak & strong & classical solution to justify the model (in case regularity holds) to justify the numerical scheme and the error estimate (in case regularity holds) to show that the model is wrong Bul´ ıˇ cek (Charles University in Prague) Regularity for systems of PDEs March 31, 2012 2 / 15

  6. Outline Why to study regularity of PDEs to have fun to learn something from physics what kind of regularity? weak & strong & classical solution to justify the model (in case regularity holds) to justify the numerical scheme and the error estimate (in case regularity holds) to show that the model is wrong Bul´ ıˇ cek (Charles University in Prague) Regularity for systems of PDEs March 31, 2012 2 / 15

  7. Outline Outline We demonstrate all results and open problems on the prototype: div v = 0 v t + div ( v ⊗ v ) − div T T T = f , · · · = · · · . Navier-Stokes equations (neglect coupling) full problem unsteady vs. steady neglect inertia = ⇒ full regularity power-law like models & more general situation (neglect coupling) neglect inertia vs. full system regularity of stress vs. velocity (displacement gradient) coupled problems (only with the equation for temperature/internal energy) Newtonian fluid (with and without inertia) - non-Newtonian models -nonlinearity may help Bul´ ıˇ cek (Charles University in Prague) Regularity for systems of PDEs March 31, 2012 3 / 15

  8. Outline Outline We demonstrate all results and open problems on the prototype: div v = 0 v t + div ( v ⊗ v ) − div T T T = f , · · · = · · · . Navier-Stokes equations (neglect coupling) full problem unsteady vs. steady neglect inertia = ⇒ full regularity power-law like models & more general situation (neglect coupling) neglect inertia vs. full system regularity of stress vs. velocity (displacement gradient) coupled problems (only with the equation for temperature/internal energy) Newtonian fluid (with and without inertia) - non-Newtonian models -nonlinearity may help Bul´ ıˇ cek (Charles University in Prague) Regularity for systems of PDEs March 31, 2012 3 / 15

  9. Navier-Stokes equations Navier-Stokes equations T T T := − p I I I + 2 ν 0 D D D( v ), where D D D( v ) is the symmetric part of ∇ v Navier-Stokes equations v t − div ( v ⊗ v ) − ν 0 △ v = −∇ p + f (N-S) div v = 0 . d = 2 - regularity, d = 3 , . . . - regularity partial & conditional & special geometries & small data & short time Stokes equations v t − ν 0 △ v = −∇ p + f (S) div v = 0 . maximal regularity in any d Bul´ ıˇ cek (Charles University in Prague) Regularity for systems of PDEs March 31, 2012 4 / 15

  10. Navier-Stokes equations Navier-Stokes equations T T T := − p I I I + 2 ν 0 D D D( v ), where D D D( v ) is the symmetric part of ∇ v Navier-Stokes equations v t − div ( v ⊗ v ) − ν 0 △ v = −∇ p + f (N-S) div v = 0 . d = 2 - regularity, d = 3 , . . . - regularity partial & conditional & special geometries & small data & short time Stokes equations v t − ν 0 △ v = −∇ p + f (S) div v = 0 . maximal regularity in any d Bul´ ıˇ cek (Charles University in Prague) Regularity for systems of PDEs March 31, 2012 4 / 15

  11. Navier-Stokes equations Navier-Stokes equations T T T := − p I I I + 2 ν 0 D D D( v ), where D D D( v ) is the symmetric part of ∇ v Navier-Stokes equations v t − div ( v ⊗ v ) − ν 0 △ v = −∇ p + f (N-S) div v = 0 . d = 2 - regularity, d = 3 , . . . - regularity partial & conditional & special geometries & small data & short time Stokes equations v t − ν 0 △ v = −∇ p + f (S) div v = 0 . maximal regularity in any d Bul´ ıˇ cek (Charles University in Prague) Regularity for systems of PDEs March 31, 2012 4 / 15

  12. Navier-Stokes equations Navier-Stokes equations - steady case steady Navier-Stokes equations − div ( v ⊗ v ) − ν 0 △ v = −∇ p + f div v = 0 . d = 2 , 3 , 4 - regularity, d = 5 - the same scaling as for (N-S) in d = 3 - maybe a hint to (N-S) J. Frehse & coauthors - existence of a regular solution for d = 5 , . . . , 10 but no hint to solve 3d (N-S) Bul´ ıˇ cek (Charles University in Prague) Regularity for systems of PDEs March 31, 2012 5 / 15

  13. Navier-Stokes equations Navier-Stokes equations - steady case steady Navier-Stokes equations − div ( v ⊗ v ) − ν 0 △ v = −∇ p + f div v = 0 . d = 2 , 3 , 4 - regularity, d = 5 - the same scaling as for (N-S) in d = 3 - maybe a hint to (N-S) J. Frehse & coauthors - existence of a regular solution for d = 5 , . . . , 10 but no hint to solve 3d (N-S) Bul´ ıˇ cek (Charles University in Prague) Regularity for systems of PDEs March 31, 2012 5 / 15

  14. Navier-Stokes equations Navier-Stokes equations - steady case steady Navier-Stokes equations − div ( v ⊗ v ) − ν 0 △ v = −∇ p + f div v = 0 . d = 2 , 3 , 4 - regularity, d = 5 - the same scaling as for (N-S) in d = 3 - maybe a hint to (N-S) J. Frehse & coauthors - existence of a regular solution for d = 5 , . . . , 10 but no hint to solve 3d (N-S) Bul´ ıˇ cek (Charles University in Prague) Regularity for systems of PDEs March 31, 2012 5 / 15

  15. Navier-Stokes equations Navier-Stokes equations - steady case steady Navier-Stokes equations − div ( v ⊗ v ) − ν 0 △ v = −∇ p + f div v = 0 . d = 2 , 3 , 4 - regularity, d = 5 - the same scaling as for (N-S) in d = 3 - maybe a hint to (N-S) J. Frehse & coauthors - existence of a regular solution for d = 5 , . . . , 10 but no hint to solve 3d (N-S) Bul´ ıˇ cek (Charles University in Prague) Regularity for systems of PDEs March 31, 2012 5 / 15

  16. Navier-Stokes equations Challenge Challenge If data are smooth, is there a smooth solution to (N-S) ? Bul´ ıˇ cek (Charles University in Prague) Regularity for systems of PDEs March 31, 2012 6 / 15

  17. Power-law like & implicit models Power-law like models T T T := − p I I I + S S, where S r − 2 D( v ) | 2 ) 2 D G G G(S S S , D D D( v )) = 0 prototype: S S S ∼ ν 0 (1 + | D D D D( v ) � r − 2 � D( v ) | 2 ) 2 D v t − div ( v ⊗ v ) − ν 0 div (1 + | D D D D( v ) = −∇ p + f (N r ) div v = 0 . r ≥ 3 d +2 d +2 - strong solution & uniqueness (for smooth data) d = 2 - full regularity Stokes equations r − 2 � � D( v ) | 2 ) 2 D v t − ν 0 div (1 + | D D D D( v ) = −∇ p + f (S r ) div v = 0 . for all r ∈ (1 , ∞ ) the same as for (N r ), i.e., NO higher regularity for d = 3 , . . . Bul´ ıˇ cek (Charles University in Prague) Regularity for systems of PDEs March 31, 2012 7 / 15

  18. Power-law like & implicit models Power-law like models T T T := − p I I I + S S, where S r − 2 D( v ) | 2 ) 2 D G G G(S S S , D D D( v )) = 0 prototype: S S S ∼ ν 0 (1 + | D D D D( v ) � r − 2 � D( v ) | 2 ) 2 D v t − div ( v ⊗ v ) − ν 0 div (1 + | D D D D( v ) = −∇ p + f (N r ) div v = 0 . r ≥ 3 d +2 d +2 - strong solution & uniqueness (for smooth data) d = 2 - full regularity Stokes equations r − 2 � � D( v ) | 2 ) 2 D v t − ν 0 div (1 + | D D D D( v ) = −∇ p + f (S r ) div v = 0 . for all r ∈ (1 , ∞ ) the same as for (N r ), i.e., NO higher regularity for d = 3 , . . . Bul´ ıˇ cek (Charles University in Prague) Regularity for systems of PDEs March 31, 2012 7 / 15

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