decay rate of degenerate convection diffusion equations
play

DECAY RATE OF DEGENERATE CONVECTION DIFFUSION EQUATIONS Christian - PowerPoint PPT Presentation

DECAY RATE OF DEGENERATE CONVECTION DIFFUSION EQUATIONS Christian Klingenberg Mathematics Dept., Wrzburg University, Germany joint work with: Ujjwal Koley, Wrzburg Univ., Germany Yunguang Lu, Hangzhou Normal Univ., China where is


  1. DECAY RATE OF DEGENERATE CONVECTION DIFFUSION EQUATIONS Christian Klingenberg Mathematics Dept., Würzburg University, Germany joint work with: Ujjwal Koley, Würzburg Univ., Germany Yunguang Lu, Hangzhou Normal Univ., China

  2. where is Würzburg?

  3. As you all know, for the heat equation in one space dimension u t = u xx for an initial value probem with compact support with decay rate 1 u ( x, t ) 0 t → ∞ → as √ t pointwise you can read it off the explicit solution formula:

  4. Consider the large time behaviour of the initial value problem of the inviscid Burgers equation u t + ( u 2 ) x = 0 u ( x, 0) = u 0 ( x ) e u l a v n a e m periodic u ( x, t ) ¯ = u 0 ( x ) . u t → ∞ → as 1 with decay rate t L 1 ( R ) = u 0 ( x ) . compactly supported u ( x, t ) 0 t → ∞ as → u 0 ( x ) ∈ L 1 ( R ) or with decay rate 1 √ t illustrating the effect of “energy dissipation” via the shock waves

  5. 3.6 Shock speed 33 t x _f 0 N-wave solution to Burgers equation Figure 3.11. N wave solution to Burgers' equation. X, + Ax XI Figure 3.12. Region of integration for shock speed calculation.

  6. moving on to the viscous Burgers equation u t + ( u 2 ) x = ν u xx with compactly supported initial data with decay rate 1 u ( x, t ) 0 t → ∞ as → √ t pointwise this can be seen this with help of the Cole-Hopf transformation resulting in here two time decay mechanisms are at play: - dissipation from the parabolic term - “dissipation” from “within” the shocks coming from the nonlinear flux joining forces to the same decay rate

  7. What happens if we use a more general flux but keep strictly positive diffusion? consider a viscous conservation law with a non-Burgers flux ( u t + ( u q ) x = u xx , u 0 ( x ) ∈ L 1 ( R ) for ( 0) = ( ) the large time decay rate depending on exponent q: for q > 2 k u ( t ) k L ∞  K ∞ t − 1 / 2 for 1 < q < 2 k u ( t ) k L ∞  K ∞ t − 1 /q faster than 1 √ t case q = 2 is the viscous Burgers equation

  8. the last result also holds true without viscosity u t + u q x = 0 u 0 ( x ) ∈ L 1 ( R ) for for 1 < q < 2 we obtain 1 t q decay in L 1 ( R ) Ph. Laurencot 1998 so this large time decay rate is faster than 1 √ t

  9. How does this work if we use degenerate diffusion? u ( x, 0) = u 0 ( x ) ≥ 0 lets first look at the modified heat equation u t = ( u m ) xx , u 0 ( x ) ∈ L 1 ( R ) for m ∈ N gives a large time decay rate: k u ( t ) k L ∞  C ∞ t − 1 / ( m +1) here depends on m and initial data  C ∞ 1 u ( x, t ) decays like 1 u t = ( u 2 ) xx say m=2 slower than √ 1 t t 3 for m = 1 this is the heat equation result

  10. summary: ( u t + ( u q ) x = u xx , u t = ( u m ) xx , m ∈ N ( 0) = ( ) 1 1 ≥ for q 2 √ t t m +1 1 slower for 1 < q < 2 t q faster let us combine both degenerate diffusion and non-Burgers fluxes

  11. We shall consider a scalar equation of the type u t + F ( u, x, t ) x + H ( u, x, t ) = G ( u ) xx , where G(u) may lead to a degenerate elliptic operator Thus the solutions are not smooth, they are weak solutions.

  12. our technique requires manipulating with the solutions as if they were smooth we deal with degenerary of the parabolic term by considering a regularisation of type u t + f ( u ) x = (( g ( u ) + ✏ ) u x ) x g ( u ) ≥ 0 this gives uniform parabolicity one can get regularity estimates of the solution independent of epsilon

  13. For u t + F ( u, x, t ) x + H ( u, x, t ) = G ( u ) xx , we identify conditions on F, H and G for which we obtain large time behaviour of the form || u ( x, t ) || L ∞ ≤ C √ t G(u) may be pointwise degenerate This includes all the above cases and includes new one’s.

  14. our strategy • find bounds for u of the type u x < M ( u, x, t ) • then obtain time decay for u u ( x, t ) ≤ C √ t

  15. our result in more detail: consider solution to u t + F ( u, x, t ) x + H ( u, x, t ) = ( g ( u ) u x ) x ( x, t ) ∈ R × (0 , T ) where the coefficients of the PDE satisfy F ( u, x, t ) = F 1 ( u, x, t ) + F 2 ( u, x, t ) , ( F 1 ) uu ≥ 0 , ( F 1 ) xu ≥ 0 , ( F 1 ) xx ≥ 0 , f 2 ≥ 0 , ( f 2 ) t ≥ 0 , H u f 2 − ( f 2 ) u H ≥ 0 , ( f 2 ) u ( F 1 ) x − ( F 1 ) u ( f 2 ) x ≤ 0 . f 2 ( u, x, t ) := F 2 ( u, x, t ) g ( u ) we conclude that the solution satisfies u x ≤ f 2 ( u, x, t ) ,

  16. now suppose the solution to u t + F ( u, x, t ) x + H ( u, x, t ) = ( g ( u ) u x ) x where the conditions on the previous in particular satisfy u x ≤ M t we can conclude u ( x, t ) ≤ M √ t pointwise

  17. sketch of the proof 1.) gradient decay: u x ≤ f 2 ( u, x, t ) , here the bound is a combination of the coefficients of the PDE. set v = u x − f 2 ( u, x, t ) assume that at initial time this is negative and then proceed to show that v t < 0 this uses properties of the PDE plus the assumptions on the coefficients we made

  18. 2.) obtain a particular gradient decay of the solution in time : for our PDE we introduce the new variable w = ut we get an evolution for w w t − w t α + F ( w, x ) x + H ( w, x ) = w xx applying our result in part 1.) to this equation we conclude f 2 ≤ const. because w x < const. u x ( x, t ) ≤ C Hence or w x = u x t ≤ C t

  19. 3.) form this time decay of the gradient conclude decay of solution we use the fact that we are in one space dimension pos. u x ( x, t ) ≤ C d put A = u ( x 0 , t ). fix t and x 0 ( we know ) t u ( x, t ) ≥ 1 t ( x − x 1 ) for 0 ≤ x − x 1 ≤ At √ pos. in the inetrval ( x 1 , x 0 ) x 1 = x 0 − At integrating gives Z At α t α dx = t α A 2 Z x M = u ( x, t ) dx ≥ , 2 R 0 which implies u ( x, t ) ≤ M √ α t

  20. Now we consider time decay of the solution to porous media type equations with degenerate diffusion in higher space dimensions N u t = ∆ u m + X f i ( u ) x i − S ( u ) , i =1 non-negative initial data u ( x, 0) = u 0 ( x 1 , x 2 , · · · , x N ) ≥ 0 . Because of parabolic degeneracy the solution may fail to be smooth. So we perturb both the initial data to be strictly positive on u ε ≥ ε . nt of , on and also the equation to be strictly parabolic. ≥ ε . One can get uniform bounds on the solution independent of . This allows us to manipulate the equation. , on

  21. N u t = ∆ u m + X f i ( u ) x i − S ( u ) , i =1 under certain assumptions on the coefficients of this PDE we can prove bounds on the gradient of the solution M ( u 2 ) x i ≤ α (1 + t ) 2 0 < α ≤ 1 any α ≥ 1 An example for which this holds true is u t = ∆ u m + u ( x, 0) ≥ 0

  22. the proof consists of long calculations the idea is to do several changes of variables v = u n first change of variables: which gives an evolution of v 4.5) X v t = nu n � 1 ∆ ( u m ) + i ( u ) v x i − nu n � 1 S ( u ) f 0 i

  23. then set N w = 1 next change of variables X v 2 x i 2 i =1 which gives an evolution of w (4.8) X h ( v ) v 2 w t = 2 h 0 ( v )( ∆ v ) w + h ( v ) ∆ w − x i x j i,j + 2 m ( m − n ) v x i w x i + 4 m ( m − n )( m − n − 1) v ( m � n � 1) /n X v ( m � 2 n � 1) /n w 2 n 2 n i f 00 j ( u ) nu n � 1 v x j w − 2( n − 1) S ( u ) X X f 0 w − 2 S 0 ( u ) w. + j ( u ) w x j + u j j

  24. then set θ = ( w − 1 t α ) next change of variables which gives an evolution of θ = ( (4.11) θ t + ( 1 t α ) t ≤ 2 h 0 ( v )( ∆ v ) θ + h ( v ) ∆ θ − cmv ( m � 2 n � 1) /n 1 t 2 α + 2 m ( m − n ) v x i θ x i + 4 m ( m − n )( m − n − 1) v ( m � n � 1) /n X v ( m � 2 n � 1) /n θ 2 n 2 n i applying the maximum principle and our assumptions gives the desired gradient bound on u

  25. lets summarize: for degenerate convection diffusion equations in one space dimension u t + F ( u, x, t ) x + H ( u, x, t ) = ( g ( u ) u x ) x we identified a certain class for which we can obtain time decay u ( x, t ) ≤ M √ t for several space dimensions N u t = ∆ u m + X f i ( u ) x i − S ( u ) , i =1 we identified equations for which we can show time decay of the derivative ( u x i ) 2 ≤ M t α

  26. Thank you for your attention!

  27. here are examples of the type of equations for which we can show time decay of this type u t + ( u 3 ) x = ( u 2 ) xx u t + ( u 2 + u 2 + 1 ) x = u xx t

Download Presentation
Download Policy: The content available on the website is offered to you 'AS IS' for your personal information and use only. It cannot be commercialized, licensed, or distributed on other websites without prior consent from the author. To download a presentation, simply click this link. If you encounter any difficulties during the download process, it's possible that the publisher has removed the file from their server.

Recommend


More recommend