6 Nonlinear Problems 95 6.1 <strong>Quasilinear</strong> <strong>problems</strong> of second order <strong>with</strong> <strong>nonlinear</strong> <strong>boundary</strong> <strong>conditions</strong> 95 6.2 Nemytskij operators for various function spaces . . . . . . . . . . . . . . . 102 Bibliography 111 2
Chapter 1 Introduction The present thesis is devoted to the study of the Lp-theory of a class of quasilinear <strong>parabolic</strong> <strong>problems</strong> <strong>with</strong> <strong>nonlinear</strong> <strong>boundary</strong> <strong>conditions</strong>. The main objective here is to prove existence and uniqueness of local (in time) strong solutions of these <strong>problems</strong>. To achieve this we establish optimal regularity estimates of type Lp for an associated linear problem which allow us to reformulate the original problem as a fixed point equation in the desired regularity class, and we show that under appropriate assumptions the contraction mapping principle is applicable, provided the time-interval is sufficiently small. We describe now the class of equations to be studied. Let Ω be a bounded domain in R n <strong>with</strong> C 2 -smooth <strong>boundary</strong> Γ which decomposes according to Γ = ΓD ∪ ΓN <strong>with</strong> dist(ΓD, ΓN) > 0. For the unknown scalar function u : R+ × Ω → R, we consider the subsequent problem: ⎧ ⎪⎨ ⎪⎩ ∂tu + dk ∗ (A(u) : ∇ 2 u) = F (u) + dk ∗ G(u), t ≥ 0, x ∈ Ω BD(u) = 0, t ≥ 0, x ∈ ΓD BN(u) = 0, t ≥ 0, x ∈ ΓN u|t=0 = u0, x ∈ Ω. (1.1) Here, (dk∗w)(t, x) = � t 0 dk(τ)w(t−τ, x), t ≥ 0, x ∈ Ω, ∂tu means the partial derivative of u w.r.t. t, ∇u = ∇xu is the gradient of u w.r.t. the spatial variables, ∇2u denotes its Hessian matrix, that is (∇2u)ij = ∂xi∂xj u, i, j ∈ {1, . . . , n}, and B : C = �n i=1, j=1 BijCij stands for the double scalar product of two matrices B, C ∈ Rn×n . Furthermore, we have the substitution operators A(u)(t, x) = −a(t, x, u(t, x), ∇u(t, x)), t ≥ 0, x ∈ Ω, F (u)(t, x) = f(t, x, u(t, x), ∇u(t, x)), t ≥ 0, x ∈ Ω, G(u)(t, x) = g(t, x, u(t, x), ∇u(t, x)), t ≥ 0, x ∈ Ω, BD(u)(t, x) = b D (t, x, u(t, x)), t ≥ 0, x ∈ ΓD, BN(u)(t, x) = b N (t, x, u(t, x), ∇u(t, x)), t ≥ 0, x ∈ ΓN, where a is R n×n -valued, and f, g, b D , b N are all scalar functions. The scalar-valued kernel k is of bounded variation on each compact interval [0, T ] <strong>with</strong> k(0) = 0, and belongs to a certain kernel class <strong>with</strong> parameter α ∈ [0, 1) which contains, roughly speaking, all ’regular’ kernels that behave like t α for t (> 0) near zero. Note that this 3
- Page 1 and 2: Gutachter: Quasilinear parabolic pr
- Page 3: Contents 1 Introduction 3 2 Prelimi
- 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 and 18: Definition 2.2.3 Let X and Y be Ban
- Page 19 and 20: µ ∈ Σφα }. Let N ∈ N, Tj
- 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
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Let u1 be the restriction of v1 to
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Proof. We begin with the necessity
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Chapter 4 Linear Problems of Second
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The strategy for solving (4.1) is n
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Since ψj ≡ 1 on supp ϕj, we may
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Turning to (c), let g ∈ Ξi+1 and
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endowed with the norm | · | Y T 2
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We remark that the constant C2 stem
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One can then construct functions a
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analogous to (4.17), shows that S i
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Apply now V#, i+1 := I + k ∗ A#(
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Given a function v ∈ H 2 p(R n+1
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v is a solution of (4.40) on Ji+1 :
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Chapter 5 Linear Viscoelasticity In
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where δij denotes Kronecker’s sy
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problem ⎧ ⎪⎨ ⎪⎩ ∂tv −
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To see the converse direction, supp
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and up solves � Aup − ∆xup
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It can be written as where l(z, ξ)
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elongs to H∞ (Σ π 2 +η × Ση
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which allows us to write the first
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Chapter 6 Nonlinear Problems 6.1 Qu
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sufficiently small, say T ≤ T1
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(d) bD ∈ C(J0 × ΓD × U0), ∃C
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which entails (6.14). Corresponding
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substitution operators to be studie
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for all t, τ ∈ J, ξ, η ∈ K,
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to write where h2(t, τ, x) = h21(t
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Lemma 6.2.3 Let 0 < s < s0 < 1, ρ
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Bibliography [1] Albrecht, D.: Func
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[54] Lunardi, A.: On the heat equat
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kleines T mit Hilfe des Kontraktion
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