Forchheimer Equations in Porous Media - Part III Luan Hoang, Akif Ibragimov Department of Mathematics and Statistics, Texas Tech University http://www.math.umn.edu/∼lhoang/ luan.hoang@ttu.edu Applied Mathematics Seminar Texas Tech University September 15&22, 2010 Luan H. - Texas Tech Forchheimer Equations - III Applied Math. Seminar, Sept.15&22.2010 Outline 1 Introduction 2 Bounds for the solutions 3 Dependence on the boundary data 4 Dependence on the Forchheimer polynomials Luan H. - Texas Tech Forchheimer Equations - III Applied Math. Seminar, Sept.15&22.2010 Introduction Darcy’s Law: αu = −∇p, the “two term” law αu + β|u| u = −∇p, the “power” law c n |u|n−1 u + au = −∇p, the “three term” law Au + B |u| u + C|u|2 u = −∇p. Here α, β, c, A, B, and C are empirical positive constants. Luan H. - Texas Tech Forchheimer Equations - III Applied Math. Seminar, Sept.15&22.2010 General Forchheimer equations Generalizing the above equations as follows g (|u|)u = −∇p. Let G (s) = sg (s). Then G (|u|) = |∇p| ⇒ |u| = G −1 (|∇p|). Hence u=− ∇p g (G −1 (|∇p|)) where K (ξ) = Kg (ξ) = = −K (|∇p|)∇p, 1 1 = , g (s) g (G −1 (ξ)) sg (s) = ξ. We derived non-linear Darcy equations from Forchheimer equations. Luan H. - Texas Tech Forchheimer Equations - III Applied Math. Seminar, Sept.15&22.2010 Equations of Fluids Let ρ be the density. Continuity equation dρ = −∇ · (ρu), dt For slightly compressible fluid it takes dρ 1 = ρ, dp κ where κ 1. Substituting this into the continuity equation yields dρ dp dρ = −ρ∇ · u − u · ∇p, dp dt dp dp = −κ∇ · u − u · ∇p. dt Since κ 1, we neglect the second term in continuity equation dp = −κ∇ · u . dt Luan H. - Texas Tech Forchheimer Equations - III Applied Math. Seminar, Sept.15&22.2010 Combining the equation of pressure and the Forchheimer equation, one gets after scaling: dp = ∇ · K (|∇p|) ∇p . dt Consider the equation on a bounded domain U in R3 . The boundary of U consists of two connected components: exterior boundary Γ2 and interior (accessible) boundary Γ1 . Dirichlet condition on Γ1 : p(x, t) = ψ(x, t) which is known for x ∈ Γi . On Γ2 : u·N =0⇔ Luan H. - Texas Tech ∂p = 0. ∂N Forchheimer Equations - III Applied Math. Seminar, Sept.15&22.2010 Class FP(N, α ~) We introduce a class of “Forchheimer polynomials” Definition A function g (s) is said to be of class FP(N, α ~ ) if g (s) = a0 s α0 + a1 s α1 + a2 s α2 + . . . + aN s αN = N X aj s α j , j=0 where N > 0, 0 = α0 < α1 < α2 < . . . < αN , and a0 , aN > 0, a1 , . . . , aN−1 ≥ 0. Notation αN = deg(g ). Luan H. - Texas Tech Forchheimer Equations - III Applied Math. Seminar, Sept.15&22.2010 Let N ≥ 1 and α ~ be fixed. Let R(N) = {~a = (a0 , a1 , . . . , aN ) ⊂ RN+1 : a0 , aN > 0, a1 , . . . , aN−1 ≥ 0}. Let g = g (s,~a) be in FP(N, α ~ ) with ~a ∈ R(N). We denote a= αN a αN ∈ (0, 1), b = = ∈ (0, 1), αN + 1 2−a αN + 2 n 1 1 o ≥ 1. χ(~a) = max a0 , a1 , . . . , aN , , a0 aN Many estimates below will have constants depending on χ(~a). Luan H. - Texas Tech Forchheimer Equations - III Applied Math. Seminar, Sept.15&22.2010 Lemma Let g (s,~a) be in class FP(N, α ~ ). One has for any ξ ≥ 0 that C0−1 χ(~a)−1−a C0 χ(~a)1+a ≤ K (ξ,~ a ) ≤ , (1 + ξ)a (1 + ξ)a and for any m ≥ 1, δ > 0 that C0−1 χ(~a)−1−a δa (ξ m−a − δ m−a ) ≤ K (ξ,~a)ξ m ≤ C0 χ(~a)1+a ξ m−a , (1 + δ)a where C0 = C0 (N, αN ) depends on N, αN only. In particular, when m = 2, δ = 1, one has 2−a C0−1 χ(~a)−1−a (ξ 2−a − 1) ≤ K (ξ,~a)ξ 2 ≤ C0 χ(~a)1+a ξ 2−a . Luan H. - Texas Tech Forchheimer Equations - III Applied Math. Seminar, Sept.15&22.2010 The Monotonicity Proposition (i) For any y , y 0 ∈ Rn , one has K (|y |,~a)y − K (|y 0 |,~a)y 0 · y − y 0 ≥ aK (|y | ∨ |y 0 |,~a)|y − y 0 |2 . (ii) For any functions p1 and p2 one has Z K (|∇p1 |,~a)∇p1 − K (|∇p2 |,~a)∇p2 · ∇p1 − ∇p2 dx U Z 2 ≥a K (|∇p1 | ∨ |∇p2 |,~a)|∇p1 − ∇p2 | dx U Z ≥ C5 2−a |∇p1 − ∇p2 | 2 2−a dx 1 + k∇p1 kL2−a (U) ∨ k∇p2 kL2−a (U) −a , U where C5 = C5 (N, deg(g ), χ(~a)). Luan H. - Texas Tech Forchheimer Equations - III Applied Math. Seminar, Sept.15&22.2010 Poincaré–Sobolev inequality Let f (x) and ξ(x) be two functions on U with f (x) vanishing on Γ1 and ξ(x) ≥ 0 . Then Z |f (x)| (2−a)∗ dx 2 (2−a)∗ ≤ C6 Z U K (ξ(x),~a)|∇f (x)|2 dx U Z a 2−a × 1+ H(ξ(x),~a)dx , U where (2 − a)∗ = n(2 − a)/(n − (2 − a)) and C6 = C6 (N, deg(g ), χ(~a), U). Subsequently, when deg(g ) ≤ 4/(n − 2) one has Z Z Z a 2−a |f (x)|2 dx ≤ C7 K (ξ(x),~a)|∇f (x)|2 dx 1 + H(ξ(x),~a)dx , U U U where C7 = C7 (N, deg(g ), χ(~a), U). Luan H. - Texas Tech Forchheimer Equations - III Applied Math. Seminar, Sept.15&22.2010 Degree Condition (DC) deg(g ) ≤ Luan H. - Texas Tech 4 n(2 − a) ⇐⇒ 2 ≤ (2 − a)∗ = . n−2 n − (2 − a) Forchheimer Equations - III Applied Math. Seminar, Sept.15&22.2010 Extension of the boundary data Let Ψ(x, t), x ∈ U, t ∈ [0, ∞) be an extension of ψ(x, t) from Γ1 to U. For instance, one can use the following harmonic extension Ψ of ψ: ∆Ψ = 0 on U, Ψ = ψ and Ψ = 0. Γ1 Γ2 We denote such Ψ by H(ψ). Then the Sobolev norms of H(ψ) on U can be bounded by the Sobolev or Besov norms of ψ on Γ1 . In particular, we have ∂k ∂k H(ψ) ≤ C (k, r ) k r ,2 k ψ r ,2 , ∂t ∂t W (U) W (Γ1 ) for k = 0, 1, 2, r = 0, 1. Luan H. - Texas Tech Forchheimer Equations - III Applied Math. Seminar, Sept.15&22.2010 Shift of solutions Shifted solution: Let p = p − Ψ, then p satisfies ∂p = ∇ · (K (|∇p|)∇p) − Ψt ∂t p=0 on U × (0, ∞), Γ1 × (0, ∞). on Define: Z H(ξ,~a) = ξ2 √ K ( s,~a)ds. 0 We denote H(x, t) = H[p](x, t) = H(|∇p(x, t)|,~a). Constants in estimates below depend on χ(~a). Luan H. - Texas Tech Forchheimer Equations - III Applied Math. Seminar, Sept.15&22.2010 A priori Estimates - I(a) Lemma One has 1d 2 dt Z Z 2 p (x, t)dx ≤ −C U H(x, t)dx + CG1 (t), U where Z G1 (t) = Z 2−a Z 1 r (1−a) r r0 |∇Ψ(x, t)| dx+ |Ψt (x, t)| dx 0 + |Ψt (x, t)|r0 dx 0 U 2 U U with r0 denoting the conjugate exponent of (2 − a)∗ , thus explicitly having the value n(2 − a) n(2 + αN ) r0 = = . (2 − a)(n + 1) − n n + 2 + αN Luan H. - Texas Tech Forchheimer Equations - III Applied Math. Seminar, Sept.15&22.2010 A priori Estimates - I(b) Corollary One has for t ≥ 0 that Z Z p 2 (x, t)dx ≤ p 2 (x, 0)dx + C Λ1 (t), U U where Z Λ1 (t) = t G1 (τ )dτ. 0 In the case deg(g ) ≤ 4/(n − 2) one has Z Z 2 p (x, t)dx ≤ p 2 (x, 0)dx + C Λ2 (t), U U 2 where Λ2 (t) = (1 + Env (G1 )(t)) 2−a , with Env (G1 )(t) being a continuous, increasing envelop of the function G1 (t) on [0, ∞). Luan H. - Texas Tech Forchheimer Equations - III Applied Math. Seminar, Sept.15&22.2010 A priori Estimates - I: Proofs No Degree Condition: minimal information With Degree Condition: Sobolev-Poincare inequality and non-linear differential inequality (weaker than the usual Gronwall’s) Luan H. - Texas Tech Forchheimer Equations - III Applied Math. Seminar, Sept.15&22.2010 Non-linear differential inequality Lemma Suppose y 0 ≤ −Ay α + f (t), for all t > 0, with A, α > 0 and y (t), f (t) ≥ 0. Let F (t) be a continuous, increasing envelop of f (t) on [0, ∞). Then one has y (t) ≤ y (0) + A−1/α F (t)1/α , ∀t ≥ 0. Luan H. - Texas Tech Forchheimer Equations - III Applied Math. Seminar, Sept.15&22.2010 A priori Estimates - II(a) Lemma For any ε > 0, one has Z Z Z d 2 p t (x, t)dx ≤ ε H(x, t)dx + H(x, t)dx + Cε G2 (t), dt U U U where Cε is positive and Z Z G2 (t) = |∇Ψt (x, t)|2 dx + |Ψt (x, t)|2 dx. U U Consequently, one has Z Z Z d 2 2 H(x, t) + p (x, t)dx + p t (x, t)dx ≤ −C H(x, t)dx +CG3 (t), dt U U U where G3 (t) = G1 (t) + G2 (t). Luan H. - Texas Tech Forchheimer Equations - III Applied Math. Seminar, Sept.15&22.2010 A priori Estimates - II(b) Corollary (i) Given δ > 0, there is Cδ > 0 such that for all t ≥ 0 one has Z t Z Z δt H(x, t)dx ≤ e H(x, 0)dx + Cδ e δ(t−τ ) G2 (τ )dτ. U U 0 (ii) For t ≥ 0, one has Z 2 Z tZ H(x, t) + p (x, t)dx + U 0 p 2t (x, τ )dxdτ U Z ≤ H(x, 0) + p 2 (x, 0)dx + C U Luan H. - Texas Tech Forchheimer Equations - III Z t G3 (τ )dτ. 0 Applied Math. Seminar, Sept.15&22.2010 A priori Estimates - II(c) Corollary For t ≥ 0, one has Z Z Z −C1 t H(x, t)dx ≤e H(x, 0)dx + C p 2 (x, 0)dx U U U Z t +C e −C1 (t−τ ) Λ1 (τ ) + G3 (τ ) dτ. 0 In case deg(g ) ≤ 4/(n − 2), one has for t ≥ 0 that Z Z Z −C1 t p 2 (x, 0)dx H(x, t)dx ≤e H(x, 0)dx + C U U Z Ut e −C1 (t−τ ) Λ2 (τ ) + G3 (τ ) dτ. +C 0 Luan H. - Texas Tech Forchheimer Equations - III Applied Math. Seminar, Sept.15&22.2010 A priori Estimates - II(d) Lemma Suppose deg(g ) ≤ 4 n−2 . Then Z Z 2 H(x, t)dx + |∇Ψ(x, t)| dx , p (x, t)dx ≤ Ch(t) Z 2 U U Z 2 p (x, t)dx U where 2−a 2 U Z Z ≤C 1+ H(x, t)dx + C U |∇Ψ(x, t)|2 dx, U Z a 2−a h(t) = 1 + H(x, t)dx . U Luan H. - Texas Tech Forchheimer Equations - III Applied Math. Seminar, Sept.15&22.2010 A priori Estimates - II(e) Proposition Suppose deg(g ) ≤ Z 4 n−2 . One has the following two estimates 2 H(x, t) + p (x, t)dx ≤ e −C1 Rt 0 h−1 (τ )dτ Z H(x, 0) + p 2 (x, 0)dx U U Z +C t e −C1 Rt τ h−1 (θ)dθ G3 (τ )dτ, 0 and Z 2 Z H(x, t)+p (x, t)dx ≤ U 2 H(x, 0)+p 2 (x, 0)dx +C 1+Env (G3 )(t) 2−a . U Luan H. - Texas Tech Forchheimer Equations - III Applied Math. Seminar, Sept.15&22.2010 A priori Estimates - III(a) Let q = pt , q = p t . Lemma One has for t > 0 that Z Z Z Z d 2 2 2 q dx ≤ −C K (|∇p|)|∇q| dx + C |∇Ψt | dx + |qΨtt |dx. dt U U U U Note: May happen Z lim sup t→0 Luan H. - Texas Tech p 2t (x, t)dx = ∞. U Forchheimer Equations - III Applied Math. Seminar, Sept.15&22.2010 A priori Estimates - III(b) Proposition One has for t ≥ t0 > 0 that Z ≤ Z t Z U +C 0 If deg(g ) ≤ Z 4 n−2 , t e −C1 Rt τ 0 Luan H. - Texas Tech Z 2 U then for t ≥ t0 > 0 one has ≤ U +C hZ U p 2t (x, t)dx Z i t0 H(x, 0) + p (x, 0)dx + C G3 (τ )dτ U 0 Z 2 r 2 r0 |∇Ψt (x, τ )| dx + h(τ ) |Ψtt (x, τ )| dx 0 dτ. t0−1 p 2t (x, t)dx −C t0−1 e 1 Rt 1 t0 h(τ ) dτ hZ 2 Z t0 H(x, 0)+p (x, 0)dx+C G3 (τ )dτ U 0 Z Z 1 dθ 2 h(θ) |∇Ψt (x, τ )| dx + h(τ ) |Ψtt (x, τ )|2 dx dτ. U U Forchheimer Equations - III Applied Math. Seminar, Sept.15&22.2010 A priori Estimates - IV(a) Proposition Suppose deg(g ) ≤ 4/(n − 2). (i) For any t ≥ t0 > 0 one has Z R hZ −C t h−1 (τ )dτ H(x, 0) H(x, t) + p 2t (x, t) + p 2 (x, t)dx ≤ (1 + t0−1 )e 1 t0 U U Z t0 Z t i R t −1 2 + p (x, 0)dx + C G3 (τ )dτ + C e −C1 τ h (θ)dθ G4 (τ )dτ, 0 where G4 (t) = G3 (t) + Luan H. - Texas Tech 0 R U Ψ2tt (x, t)dx. Forchheimer Equations - III Applied Math. Seminar, Sept.15&22.2010 A priori Estimates - IV(b) Proposition (continued) (ii) Assume, in addition, that Z ∞ def M0 == e −C1 (t−τ ) Λ2 (t) + G3 (t) dτ < ∞. 0 Then there is d0 > 0 depending on the initial data of the solution and the value M0 above so that Z hZ −1 −d0 (t−t0 ) 2 2 H(x, 0) H(x, t) + p t (x, t) + p (x, t)dx ≤ (1 + t0 )e U U Z t0 Z t i + p 2 (x, 0)dx + C G3 (τ )dτ + C e −d0 (t−τ ) G4 (τ )dτ, 0 0 for all t ≥ t0 > 0. Luan H. - Texas Tech Forchheimer Equations - III Applied Math. Seminar, Sept.15&22.2010 A priori Estimates - IV(c): No condition on h(t) Proposition Suppose deg(g ) ≤ Z U 4 n−2 . One has for t ≥ t0 > 0 that H(x, t) + p 2t (x, t) + p 2 (x, t)dx Z 2 −1 ≤ (1 + t0 ) H(x, 0) + p 2 (x, 0)dx + C 1 + Env (G4 )(t) 2−a . U Luan H. - Texas Tech Forchheimer Equations - III Applied Math. Seminar, Sept.15&22.2010 A priori Estimates - V(a): Uniform bounds Theorem Suppose deg(g ) ≤ 4/(n − 2). Assume that sup kψ(·, t)kW 1,2 (Γ1 ) , sup kψt (·, t)kW 1,2 (Γ1 ) < ∞. [0,∞) [0,∞) Then Z sup Z 2 H(x, 0) + p 2 (x, 0)dx + C 1+ H(x, t) + p (x, t)dx ≤ 4 [0,∞) U U 2−a 2 sup kψ(·, t)k2W 1,2 (Γ1 ) + sup kψt (·, t)kL1−a 2 (Γ ) + sup kψt (·, t)kW 1,2 (Γ1 ) 1 [0,∞) Luan H. - Texas Tech 2 2−a . [0,∞) [0,∞) Forchheimer Equations - III Applied Math. Seminar, Sept.15&22.2010 A priori Estimates - V(b): Uniform bounds Theorem (continued) If, in addition, sup kψtt (·, t)kL2 (Γ1 ) < ∞, [0,∞) then for any t0 > 0 one has Z sup H(x, t) + pt2 (x, t) 2 + p (x, t)dx ≤ C (1 + [t0 ,∞) U 2 + p (x, 0)dx + Ct0−1 Z Γ1 t0−1 ) Z H(x, 0) U |ψ(x, 0)|2 dσ + C 1 + sup kψ(·, t)k2W 1,2 (Γ1 ) [0,∞) 2−a 2 2 + sup kψt (·, t)kL1−a 2 (Γ ) + sup kψt (·, t)kW 1,2 (Γ1 ) + sup kψtt (·, t)kL2 (Γ1 ) 1 [0,∞) Luan H. - Texas Tech [0,∞) 2 2−a . [0,∞) Forchheimer Equations - III Applied Math. Seminar, Sept.15&22.2010 Dependence on the boundary data Let p1 (x, t) and p2 (x, t) be two solutions of the IBVP with the boundary profiles ψ1 (x, t) and ψ2 (x, t), respectively. Let Ψk (x, t) be an extension of ψk (x, t), for k = 1, 2. We denote z(x, t) = p1 (x, t) − p2 (x, t), p k = pk − Ψk , Ψ(x, t) = Ψ1 (x, t) − Ψ2 (x, t), k = 1, 2, z = p 1 − p 2 = z − Ψ. Let Hk (x, t) = H[pk ](x, t) = H(|∇pk (x, t)|,~a) for k = 1, 2. deg(g ) deg(g ) a Recall that a = deg(g )+1 and b = 2−a = deg(g )+2 . def R We will establish various estimates for Z (t) == U z 2 (x, t)dx, for t ≥ 0. Luan H. - Texas Tech Forchheimer Equations - III Applied Math. Seminar, Sept.15&22.2010 First, we derive a general differential inequality for Z (t). Lemma One has for all t > 0, Z Z 2 1d 2−a 2 z dx ≤ − C |∇z|2−a dx (1 + kH1 kL1 + kH2 kL1 )−b 2 dt U U + C (1 + kH1 kL1 + kH2 kL1 )−b k∇Ψk2L2−a + C (kH1 kL1 + kH2 kL1 )1/2 k∇ΨkL2 + C (1 + kH1 kL1 + kH2 kL1 )b kΨt k2Lr0 , where r0 is the conjugate of (2 − a)∗ . Luan H. - Texas Tech Forchheimer Equations - III Applied Math. Seminar, Sept.15&22.2010 Let Gj [Ψk ], k = 1, 2, j = 1, 2, 3, 4, denote the quantity Gj for corresponding solution pk with boundary data extension Ψk . Similarly, let Λj [Ψk ], k = 1, 2, j = 1, 2, denote the corresponding quantity Λj defined for Ψk . Let m(t) = m1 (t) + m2 (t), where for k = 1, 2, Z Z −C1 t mk (t) = e Hk (x, 0)dx + p 2k (x, 0)dx U U Z t + e −C1 (t−τ ) Λ1 [Ψk ](τ ) + G3 [Ψk ](τ ) dτ. 0 Luan H. - Texas Tech Forchheimer Equations - III Applied Math. Seminar, Sept.15&22.2010 Estimate for finite time interval Theorem One has for all t ≥ 0 that Z Z 2 z (x, t)dx ≤ U 2 z (x, 0)dx + C U Z t 0 1/2 + m(τ ) k∇Ψ(·, τ )k2L2−a k∇Ψ(·, τ )kL2 + (1 + m(τ ))b kΨt (·, τ )k2Lr0 dτ. Consequently, for any given T > 0, Z 2 Z z (x, t)dx ≤ 4 sup [0,T ] U U z 2 (x, 0)dx+6 sup kΨ(·, t)k2L2 +CT sup k∇Ψ(·, t) [0,T ] [0,T ] + CT (1 + A∗ + D∗ (T ))δ sup k∇Ψ(·, t)kL2 + sup kΨt (·, t)k2Lr0 , [0,T ] Luan H. - Texas Tech Forchheimer Equations - III [0,T ] Applied Math. Seminar, Sept.15&22.2010 Above, δ = max{1/2, b}, Z Z Z Z 2 A∗ = H1 (x, 0)dx + p 1 (x, 0)dx + H2 (x, 0)dx + p 22 (x, 0)dx, U D∗ (T ) = U 2 X Z sup U t U e −C1 (t−τ ) Λ1 [Ψk ](τ ) + G3 [Ψk ](τ ) dτ. k=1 [0,T ] 0 Luan H. - Texas Tech Forchheimer Equations - III Applied Math. Seminar, Sept.15&22.2010 Corollary Suppose for both k = 1, 2 and t ≥ 0 one has 2−a r1 k∇Ψk (·, t)k2L2 + k(Ψk )t (·, t)kL1−a r0 ≤ C (1 + t) and k∇(Ψk )t (·, t)k2L2 + k(Ψk )t (·, t)k2L2 ≤ C (1 + t)r2 , where r1 , r2 > 0. Let r3 = 1 + max{r1 + 1, r2 }. Then Z 2 Z z (x, t)dx ≤ z 2 (x, 0)dx U Z t + C (1 + A∗ ) (1 + τ )r3 /2 k∇Ψ(·, τ )kL2 + (1 + τ )r3 b kΨt (·, τ )k2Lr dτ, U 0 where A∗ is defined previously. Luan H. - Texas Tech Forchheimer Equations - III Applied Math. Seminar, Sept.15&22.2010 Estimate for all time under the Degree Condition R Using appropriate estimates of U Hk (x, t)dx, we denote Z Z −C1 t mk (t) = e p 2k (x, 0)dx Hk (x, 0)dx + U Z t U + e −C1 (t−τ ) Λ2 [Ψk ](τ ) + G3 [Ψk ](τ ) dτ, k = 1, 2. 0 Also, let 0 m(t) = m1 (t) + m2 (t) and S(t , t) = Luan H. - Texas Tech Forchheimer Equations - III Z t (1 + m(τ ))−b dτ. t0 Applied Math. Seminar, Sept.15&22.2010 Theorem Suppose deg(g ) ≤ 4/(n − 2). Then for all t ≥ 0 one has Z Z 2 −C1 S(0,t) z (x, t)dx ≤ e z 2 (x, 0)dx U U Z t +C e −C1 S(τ,t) k∇Ψ(·, τ )k2L2−a 0 + m(τ )1/2 k∇Ψ(·, τ )kL2 + (1 + m(τ ))b kΨt (·, τ )k2Lr0 dτ. Luan H. - Texas Tech Forchheimer Equations - III Applied Math. Seminar, Sept.15&22.2010 Corollary Suppose deg(g ) ≤ 4/(n − 2). Assume that 2 X k=1 sup Λ2 [Ψk ](t) + sup G3 [Ψk ](t) < ∞. [0,∞) [0,∞) Then one has Z Z sup z 2 (x, t)dx ≤ 4 z 2 (x, 0)dx + C sup kΨ(·, t)k2L2 [0,∞) U U + C sup [0,∞) [0,∞) Ab∗ k∇Ψ(·, t)k2L2−a + b+ 1 A∗ 2 k∇Ψ(·, t)kL2 2 kΨ (·, t)k + A2b r t ∗ L0 , where 2 Z X A∗ = 1+ |∇pk (x, 0)|2−a +p 2k (x, 0)dx+ sup Λ2 [Ψk ](t)+ sup G3 [Ψk ](t) k=1 U Luan H. - Texas Tech [0,∞) Forchheimer Equations - III [0,∞) Applied Math. Seminar, Sept.15&22.2010 Corollary Suppose deg(g ) ≤ 4/(n − 2). Assume that lim S(0, t) = ∞, t→∞ 1 lim (1 + m(t))b+ 2 k∇Ψ(·, t)kL2 = 0, R Then limt→∞ U z 2 (x, t)dx = 0. t→∞ Luan H. - Texas Tech lim (1 + m(t))b kΨt (·, t)kLr0 = 0. t→∞ Forchheimer Equations - III Applied Math. Seminar, Sept.15&22.2010 Dependence on the Forchheimer polynomials Let the boundary data ψ(x, t) on Γ1 be fixed. For each coefficient vector ~a, we denote by p(x, t;~a) the solution of ∂p pt = ∇ · (K (|∇p|)∇p), p|Γ1 = ψ, = 0, ∂N Γ2 with K = K (ξ,~a). Let g1 = g (s,~a(1) ) and g2 = g (s,~a(2) ) be two functions of class FP(N, α ~ ). Let pk = pk (x, t;~a(k) )) for k = 1, 2. Let p = p1 − p2 , then ∂p = ∇ · (K (|∇p1 |,~a(1) )∇p1 ) − ∇ · (K (|∇p2 |,~a(2) )∇p2 ). ∂t Multiplying this equation by p and integrating by parts over the domain yield 1d 2 dt Z 2 Z p dx = − U Luan H. - Texas Tech (K (|∇p1 |,~a(1) )∇p1 −K (|∇p2 |,~a(2) )∇p1 )·(∇p1 −∇p2 )dx U Forchheimer Equations - III Applied Math. Seminar, Sept.15&22.2010 Perturbed Monotonicity Let ~a and ~a0 be two arbitrary vectors. We denote by ~a ∨ ~a0 and ~a ∧ ~a0 the maximum and minimum vectors of the two, respectively, with components (~a ∨ ~a0 )j = max{aj , aj0 } and (~a ∧ ~a0 )j = min{aj , aj0 }. Then component-wise one has ~a ∧ ~a0 ≤ ~a,~a0 ≤ ~a ∨ ~a0 . Define χ(~a,~a0 ) = max{χ(~a), χ(~a0 )}. Note that χ(~a ∨ ~a0 ), χ(~a ∧ ~a0 ) ≤ χ(~a,~a0 ), χ(t~a + (1 − t)~a0 ) ≤ χ(~a,~a0 ) Luan H. - Texas Tech Forchheimer Equations - III ∀t ∈ [0, 1]. Applied Math. Seminar, Sept.15&22.2010 Perturbed Monotonicity Lemma Let g (s,~a) and g (s,~a0 ) belong to class FP(N, α ~ ). Then for any y , y 0 in n R , one has (K (|y |,~a)y − K (|y 0 |,~a0 )y 0 ) · (y − y 0 ) ≥ (1 − a)K (|y | ∨ |y 0 |,~a ∨~a0 )|y − y 0 |2 − Nχ(~a,~a0 )|~a − ~a0 |K (|y | ∨ |y 0 |,~a ∧ ~a0 )(|y | ∨ |y 0 |)|y − y 0 |, where a ∈ (0, 1). Luan H. - Texas Tech Forchheimer Equations - III Applied Math. Seminar, Sept.15&22.2010 Let Z Z M k (t) = 1 + e −C1 t p 2k (x, 0)dx |∇pk (x, 0)|2−a dx + U U Z t + e −C1 (t−τ ) Λ1 (τ ) + G3 (τ ) dτ, k = 1, 2, 0 and M = M 1 + M 2 . One has Z Z (1) (2) 2 K (|∇pk |,~a ∧ ~a )|∇pk | dx ≤ C + C |∇pk |2−a dx ≤ C M k , U U where C depends on χ(~a(1) ∧ ~a(2) ) and χ(~a(k) ). Denote Hk (x, t) = H(|∇pk (x, t)|,~a(k) ) for k = 1, 2. Luan H. - Texas Tech Forchheimer Equations - III Applied Math. Seminar, Sept.15&22.2010 Finite time estimate First, we obtain the continuous dependence for finite time. Proposition For t ≥ 0 one has Z Z 2 |p1 (x, t) − p2 (x, t)| dx ≤ |p1 (x, 0) − p2 (x, 0)|2 dx U U Z t + C |~a(1) − ~a(2) | M(τ )dτ, 0 where C > 0 depends on N, αN , and χ(~a(1) ,~a(2) ). Consequently, the solution p(x, t;~a) depends continuously (in finite time intervals) on the initial data and the coefficient vector ~a ∈ R(N). Luan H. - Texas Tech Forchheimer Equations - III Applied Math. Seminar, Sept.15&22.2010 Large time estimate under the Degree Condition Under the Degree Condition, where −C1 t R U Z |∇pk (x, t)|2−a dx is bounded by CMk (t) Z p 2k (x, 0)dx Mk (t) = 1 + e |∇pk (x, 0)| dx + U U Z t + e −C1 (t−τ ) Λ2 (τ ) + G3 (τ ) dτ, k = 1, 2, 2−a 0 and M(t) = M1 (t) + M2 (t). Luan H. - Texas Tech Forchheimer Equations - III Applied Math. Seminar, Sept.15&22.2010 Proposition Suppose αN ≤ 4/(n − 2). Then for t ≥ 0, Z Z R 2 −C1 0t M(τ )−b (τ )dτ |p1 (x, t) − p2 (x, t)| dx ≤ e |p1 (x, 0) − p2 (x, 0)|2 dx U U Z t Rt −b + C2 |~a(1) − ~a(2) | e −C1 τ M(θ) (θ)dθ M(τ )dτ. 0 def Assume, in addition, that M0 == sup[0,∞) M(t) < ∞ then Z 2 |p1 (x, t) − p2 (x, t)| dx ≤ e −C1 t/M0b U + Z |p1 (x, 0) − p2 (x, 0)|2 dx U C2 C1 M01+b |~a(1) − ~a(2) | for all t ≥ 0, and consequently Z lim sup |p1 (x, t) − p2 (x, t)|2 dx ≤ C2 C1 M01+b |~a(1) − ~a(2) |. t→∞ U Luan H. - Texas Tech Forchheimer Equations - III Applied Math. Seminar, Sept.15&22.2010 Uniform estimate in the coefficients Let D be a compact set in R(N). Define χ̂(D) = max{χ(~a), ~a ∈ D}. Note that χ̂(D) ∈ (0, ∞) and for any ~a ∈ D, one has χ̂(D)−1 ≤ χ(~a)−1 ≤ χ(~a) ≤ χ̂(D). Let ~a(k) belong to D for k = 1, 2. Set Z 2 Z X 2−a 2 |∇pk (x, 0)| dx + A∗ = 2 + p k (x, 0)dx k=1 U Z U t λ(t) = 1 + e −C1 (t−τ ) Λ1 (τ ) + G3 (τ ) dτ, 0 Z λ(t) = 1 + t e −C1 (t−τ ) Λ2 (τ ) + G3 (τ ) dτ, 0 where C1 depends on N, αN and χ̂(D). Then M(t) ≤ A∗ λ(t), M(t) ≤ A∗ λ(t). Luan H. - Texas Tech Forchheimer Equations - III Applied Math. Seminar, Sept.15&22.2010 Theorem Assume, additionally, that αN ≤ 4/(n − 2). (i) One has for t ≥ 0 that Z Z Rt −b dτ 2 −C1 A−b λ(τ ) ∗ 0 |p1 (x, t) − p2 (x, t)| dx ≤ e |p1 (x, 0) − p2 (x, 0)|2 dx U U Z t −b R t −b (1) (2) ~ e −C1 A∗ τ λ(θ) dθ λ(τ )dτ. + C2 A∗ |~a − a | 0 def (ii) Assume, in addition, that M0 == sup[0,∞) λ(t) < ∞. Then Z 2 |p1 (x, t) − p2 (x, t)| dx ≤e −C1 t/(A∗ M0 )b U Z |p1 (x, 0) − p2 (x, 0)|2 dx U + C2 C1−1 (A∗ M0 )1+b |~a(1) − ~a(2) |. Consequently Z lim sup |p1 (x, t) − p2 (x, t)|2 dx ≤ C2 C1−1 (A∗ M0 )1+b |~a(1) − ~a(2) |. t→∞ U Luan H. - Texas Tech Forchheimer Equations - III Applied Math. Seminar, Sept.15&22.2010 Next Semester - Spring 2011 Forchheimer Equations in Porous Media - Part IV Boundary Flux condition Refined asymptotic estimates: limsup estimates for nonlinear differential inequalities, uniform Gronwall inequality, ... Continuous dependence for pressure gradients and velocity Luan H. - Texas Tech Forchheimer Equations - III Applied Math. Seminar, Sept.15&22.2010 Next Semester - Spring 2011 Forchheimer Equations in Porous Media - Part IV Boundary Flux condition Refined asymptotic estimates: limsup estimates for nonlinear differential inequalities, uniform Gronwall inequality, ... Continuous dependence for pressure gradients and velocity THANK YOU! Luan H. - Texas Tech Forchheimer Equations - III Applied Math. Seminar, Sept.15&22.2010