Quasilinear parabolic problems with nonlinear boundary conditions
Quasilinear parabolic problems with nonlinear boundary conditions Quasilinear parabolic problems with nonlinear boundary conditions
[29, Section 2.1]) we have gµ(A) = µ(µ + A α ) −1 ; the problem is to show that the family {gµ(A) : µ ∈ Σφα } ⊂ B(X) is R-bounded. To this purpose we consider first appropriate approximations of A. For ε > 0 set Aε = (ε + A)(1 + εA) −1 . Then Aε is bounded, sectorial and invertible, for each ε > 0, and φAε ≤ φA, see [29, Prop. 1.4]. Furthermore, Aε is also R-sectorial with R-angle φR Aε ≤ φR A , and the R-bounds RAε(φ) are uniformly with respect to ε > 0, for each fixed φ < π − αφR A . To see this verify that the subsequent relation is valid. λ(λ + Aε) −1 = λ λ + ε ϕε(λ)(ϕε(λ) + A) −1 + ελ 1 + ελ A(ϕε(λ) + A) −1 , λ ∈ Σφ, where ϕε(λ) = (ε + λ)/(1 + ελ). Here it is essential that the functions ϕε leave all sectors Σφ invariant. The claim follows then by the rule R(T1 + T2) ≤ R(T1) + R(T2) and Kahane’s contraction principle, cf. [29, Section 3.1]. We next show that RA α ε (φα) ≤ C < ∞ uniformly w.r.t. ε > 0. To this end we employ the following representation formula for the operators gµ(Aε), cf. the proof of Theorem 2.3 in [29]. gµ(Aε) = µ 2πi � ∞ e ( 0 iθα − ei(θ−2π)α (µ + rαeiα(θ−2π) )(µ + rαeiαθ ) )rαe iθ (re iθ − Aε) −1 dr n� + µ j=1 λ 1−α j (λj − Aε) −1 /α. (2.7) This formula is obtained by contracting the contour Γψ from the Dunford integral for gµ(Aε) to a suitable halfray Γα = [0, ∞)eiθ , with φR A < ψ < θ ≤ π, and using Cauchy’s theorem as well as residue calculus. The numbers λj = λj(µ), j = 1, . . . , n denote the zeros of µ + λα ; note that there are only finitely many of them, and n = 0 means that there are none. The angle θ = θ(µ) is chosen such that for some δ > 0, we have with ϕ = arg µ the inequalities |ϕ−αθ(µ)−(2k+1)π| ≥ δ and |ϕ+2απ−αθ(µ)−(2k+1)π| ≥ δ for all µ ∈ Σφα and k ∈ Z. From (2.7) we get with µ+λα j = 0 and the change of variables r = (|µ|s) 1/α � ∞ gµ(Aε) = 0 − e iϕ (e i(2π−θ)α − e −iθα )(1 + s) 2 2παi (e i(ϕ−αθ) + s)(e i(ϕ+2απ−αθ) + s) � �� � | · |≤C n� λj(λj − Aε) −1 /α. j=1 (|µ|s) 1 α e iθ ((|µ|s) 1 α e iθ −Aε) −1 ds (1 + s) 2 Hence gµ(Aε) ∈ C0aco ({λ(λ + Aε) −1 : λ ∈ Σπ−ψ}), where aco (T ) means the closure in the strong operator topology of the absolute convex hull of the family T . Proposition 3.8 in [29] and the above observation concerning the R-bounds RAε(φ) then yield RA α ε (φα) ≤ 2C0RAε(ψ) ≤ C < ∞, uniformly w.r.t. ε > 0. The assertion RA α(φα) < ∞ can now be established by the following approximation argument, which relies on gµ(Aε)x → gµ(A)x as ε → 0+ on D(A) ∩ R(A), which is a dense subset of X, see [29, Thm. 2.1]. Set T = {gµ(A) : µ ∈ Σφα } and Tε = {gµ(Aε) : 16
µ ∈ Σφα }. Let N ∈ N, Tj ∈ T , xj ∈ X and suppose that εj are independent, symmetric, {−1, 1}-valued random variables on a probability space (Ω, M, µ), j = 1, . . . , n. Let further Tε, j ∈ Tε be the approximation of Tj, that is, for Tj = gµj (A) we put Tε, j = gµj (Aε). Also, we choose for each xj a sequence {xj, k} ∞ k=1 ⊂ D(A) ∩ R(A) such that xj, k → xj as k → ∞. By uniform R-boundedness of Tε, we may then estimate N� N� N� | εjTjxj| Lp(Ω;X) ≤ | εjTε, j xj| Lp(Ω;X) + | εj(Tj − Tε, j)xj, k| Lp(Ω;X) j=1 j=1 + | ≤ C | j=1 N� εj(Tj − Tε, j)(xj − xj, k)| Lp(Ω;X) j=1 N� εjxj| Lp(Ω;X) + j=1 N� |(Tj − Tε, j)xj, k|X + 2C j=1 N� |xj − xj, k|X, j=1 (2.8) where C does not depend on ε, j, k. Now let ε → 0+ in (2.8) with k being fixed. This makes the second summand disappear. The third one vanishes if we then send k → ∞. It remains the desired inequality expressing R-boundedness of {gµ(A) : µ ∈ Σφα } for each φα < π − αφR A . � Connecting the concept of R-boundedness to the H ∞ -calculus, leads to the notion of operators with R-bounded functional calculus. Definition 2.2.5 Let X be a complex Banach space and suppose that A ∈ H ∞ (X). The operator A is said to admit an R-bounded H ∞ -calculus if the set {f(A) : f ∈ H ∞ (Σθ), |f| θ ∞ ≤ 1} is R-bounded for some θ > 0. We denote the class of such operators by RH∞ (X) and define the RH∞-angle φR∞ A of A as the infimum of such angles θ. One important application of such operators concerns the joint functional calculus of sectorial operators, see Section 2.4. 2.3 Sums of closed linear operators Let X be a Banach space, A, B closed linear operators in X, and consider the problem Ax + Bx = y. (2.9) Given y ∈ X one seeks a unique strict solution x of (2.9) in the sense that x ∈ D(A) ∩ D(B), that is x possesses the regularity induced by A as well as that coming from B. In this situation we say that the solution has maximal regularity. Furthermore it is desirable to have an a priori estimate of the form where C does not depend on x. |Ax| + |Bx| ≤ C|Ax + Bx| for all x ∈ D(A) ∩ D(B), (2.10) 17
- Page 1 and 2: Gutachter: Quasilinear parabolic pr
- Page 3 and 4: Contents 1 Introduction 3 2 Prelimi
- Page 5 and 6: Chapter 1 Introduction The present
- Page 7 and 8: to assume that m, c are bounded fun
- Page 9 and 10: We give now an overview of the cont
- Page 11 and 12: conditions of order ≤ 1. Sections
- Page 13 and 14: Chapter 2 Preliminaries 2.1 Some no
- Page 15 and 16: Clearly, φA ∈ [0, π) and φA
- Page 17: Definition 2.2.3 Let X and Y be Ban
- Page 21 and 22: We remark that a theorem of the Dor
- Page 23 and 24: Here f(A, ·) ∈ H0(Σ π 2 +η; B
- Page 25 and 26: Further, K ∞ (α, θa) := {a ∈
- Page 27 and 28: Using (2.19) for aω and bω yields
- Page 29 and 30: 2.7 Evolutionary integral equations
- Page 31 and 32: Example 2.8.1 For J = [0, T ] and a
- Page 33: We conclude this section by illustr
- Page 36 and 37: kernel a. The operator B is inverti
- Page 38 and 39: x := f(0) ∈ X exists and we are l
- Page 40 and 41: with two positive constants C1, C2
- Page 42 and 43: with two positive constants C1 and
- Page 44 and 45: derivative theorem to this pair of
- Page 46 and 47: 3.2 A general trace theorem Let X b
- Page 48 and 49: 3.3 More time regularity for Volter
- Page 50 and 51: Theorem 3.4.2 Suppose X is a Banach
- Page 52 and 53: Our next objective is to show neces
- Page 54 and 55: Let u1 be the restriction of v1 to
- Page 56 and 57: Proof. We begin with the necessity
- Page 59 and 60: Chapter 4 Linear Problems of Second
- Page 61 and 62: The strategy for solving (4.1) is n
- Page 63 and 64: Since ψj ≡ 1 on supp ϕj, we may
- Page 65 and 66: Turning to (c), let g ∈ Ξi+1 and
- Page 67 and 68: endowed with the norm | · | Y T 2
µ ∈ Σφα }. Let N ∈ N, Tj ∈ T , xj ∈ X and suppose that εj are independent, symmetric,<br />
{−1, 1}-valued random variables on a probability space (Ω, M, µ), j = 1, . . . , n. Let<br />
further Tε, j ∈ Tε be the approximation of Tj, that is, for Tj = gµj (A) we put Tε, j =<br />
gµj (Aε). Also, we choose for each xj a sequence {xj, k} ∞ k=1 ⊂ D(A) ∩ R(A) such that<br />
xj, k → xj as k → ∞. By uniform R-boundedness of Tε, we may then estimate<br />
N�<br />
N�<br />
N�<br />
| εjTjxj| Lp(Ω;X) ≤ | εjTε, j xj| Lp(Ω;X) + | εj(Tj − Tε, j)xj, k| Lp(Ω;X)<br />
j=1<br />
j=1<br />
+ |<br />
≤ C |<br />
j=1<br />
N�<br />
εj(Tj − Tε, j)(xj − xj, k)| Lp(Ω;X)<br />
j=1<br />
N�<br />
εjxj| Lp(Ω;X) +<br />
j=1<br />
N�<br />
|(Tj − Tε, j)xj, k|X + 2C<br />
j=1<br />
N�<br />
|xj − xj, k|X,<br />
j=1<br />
(2.8)<br />
where C does not depend on ε, j, k. Now let ε → 0+ in (2.8) <strong>with</strong> k being fixed. This<br />
makes the second summand disappear. The third one vanishes if we then send k → ∞.<br />
It remains the desired inequality expressing R-boundedness of {gµ(A) : µ ∈ Σφα } for<br />
each φα < π − αφR A . �<br />
Connecting the concept of R-boundedness to the H ∞ -calculus, leads to the notion of<br />
operators <strong>with</strong> R-bounded functional calculus.<br />
Definition 2.2.5 Let X be a complex Banach space and suppose that A ∈ H ∞ (X). The<br />
operator A is said to admit an R-bounded H ∞ -calculus if the set<br />
{f(A) : f ∈ H ∞ (Σθ), |f| θ ∞ ≤ 1}<br />
is R-bounded for some θ > 0. We denote the class of such operators by RH∞ (X) and<br />
define the RH∞-angle φR∞ A of A as the infimum of such angles θ.<br />
One important application of such operators concerns the joint functional calculus of<br />
sectorial operators, see Section 2.4.<br />
2.3 Sums of closed linear operators<br />
Let X be a Banach space, A, B closed linear operators in X, and consider the problem<br />
Ax + Bx = y. (2.9)<br />
Given y ∈ X one seeks a unique strict solution x of (2.9) in the sense that x ∈ D(A) ∩<br />
D(B), that is x possesses the regularity induced by A as well as that coming from B.<br />
In this situation we say that the solution has maximal regularity. Furthermore it is<br />
desirable to have an a priori estimate of the form<br />
where C does not depend on x.<br />
|Ax| + |Bx| ≤ C|Ax + Bx| for all x ∈ D(A) ∩ D(B), (2.10)<br />
17