On a multiphase multicomponent model of biofilm growth

Size: px
Start display at page:

Download "On a multiphase multicomponent model of biofilm growth"

Transcription

1 Archive for Rational Mechanics and Analysis manuscript No. will be inserted by the editor Avner Friedman Bei Hu Chuan Xue On a multiphase multicomponent model of biofilm growth Abstract Biofilms are formed when free-floating bacteria attach to a surface and secrete polysaccharide to form an extracellular polymeric matrix EPS. A general model of biofilm growth needs to include the bacteria, the EPS, and the solvent within the biofilm region t, and the solvent in the surrounding region t. The interface between the two regions, Γ t, is a free boundary. In this paper, we consider a mathematical model, which consists of a Stokes equation for the EPS with bacteria attached to it, and a Stokes equation for the solvent in t and a different one for the solvent in t. The volume fraction of the EPS is another unknown satisfying a reaction-diffusion equation. The entire system is coupled nonlinearly within t, and across the free surface Γ t. We prove the existence and uniqueness of solution, with a smooth surface Γ t, for a small time interval. 1 Introduction Biofilms are defined as communities of microorganisms, typically bacteria, that are attached to a surface. The bacteria within the biofilms are usually embedded within a matrix consisting of polysacharides which is made by the bacteria and called extracellular polymeric substance EPS. The EPS shields the bacteria from attack, making them, in particular, resistant to therapeutic drugs [34. Biofilms account for over 80% of infections in the body. Examples include plaques on teeth and dental implants, infections of gastrointestinal tracks, urinary tracks, infections of eyes, nose, and ears, and infections of skin wounds [1. The bacterium Pseudomonas aeruginosa, an organism that can cause life threatening infections in diseases such as cystic fibrosis, is especially adept in resisting antimicrobial therapy [34. Improved understanding of the physical organization of a biofilm matrix may help in the development of new drugs aimed at disrupting the biofilm. Mathematical models of biofilm go back to the 1980 s. Two comprehensive reviews of the mathematical models, up to 2010, were published by Klapper and ockery [25, and Wang and Zhang [44. The most comprehensive models use two-phase flows to describe biofilm growth. The variables in these models include the volume fractions and velocities of the EPS and the solvent within the biofilm, and the velocity of the fluid surrounding the biofilm. These variables, as well as the concentration of bacteria and nutrients, satisfy a system of PEs within the biofilm, and a system of PEs outside the biofilm. These two systems are coupled through the common boundary Γ t, which is a free boundary. Klapper and ockery [25 explored the linear stability of the surface Γ t in case Γ t is initially flat and the linear perturbations are periodic. However, except for numerical results [6, there have been no rigorous mathematical results that address the questions of existence, uniqueness and properties of the full free boundary problem of the biofilm model. A. Friedman Mathematical Biosciences Institute, and epartment of Mathematics, Ohio State University, Columbus, Ohio afriedman@math.ohio-state.edu Bei Hu epartment of Applied and Computational Mathematics and Statistics, University of Notre ame, IN b1hu@nd.edu Chuan Xue Mathematical Biosciences Institute, and epartment of Mathematics, Ohio State University, Columbus, Ohio cxue@math.ohio-state.edu

2 In this paper, motivated by models of biofilms, we consider a general two-phase free boundary problem. In one phase, t, there is an incompressible viscous fluid, and in the other phase, t, there is a mixture of two incompressible fluids, which represent the viscous fluid and the polymeric network with bacteria attached to it associated with a biofilm; see Figure 1. The interface Γ = Γ t is a free boundary which evolves in time. Γ S Fluid G Biofilm Fig. 1 The Geometry of the model. In t, the fluid satisfies a Stokes system for the velocity and pressure of the fluid, and in t, the mixture satisfies a system of Stokes equations for the velocities of the fluid and the network and their common pressure. We prove that this system has a unique solution with smooth free boundary, for a small time interval 0 t T. There has been a lot of work in the area of Stokes systems. Regularity for solutions of elliptic and evolution problems are well known. L p estimates and Schauder estimates have been established for domains with smooth boundary as well as Lipschitz domains [29,30,23,39,40,42,41. When it comes to free boundary problems in the Stokes systems, issues of regularity need to be resolved in order to apply estimates for this type of systems. Free boundary problems similar to the one studied in this paper involving a Stokes system was studied in [8,7. That system of equations was derived from conservation of energy and, consequently, it was possible to formulate the free boundary condition in a weak form. This enabled the system to be solved in an appropriate Sobolev space with the free boundary conditions automatically built into the system. However, in general, free boundary problems for Stokes systems do not have a weak formulation. Instead, one may transform the free boundary to a fixed boundary either by a change of variables as in [21,33, or by introducing Lagrange variables, as in the work of Solonnikov [37,38. This latter approach was also used in [13 15 to prove local existence for a free boundary problem for a system which couples Stokes equation with several diffusion equations modeling tumor growth. Global existence for solutions with initial domain near a sphere was proved in [20,19,36 for viscous drops. The proofs in [20,19 use an expansion of the solution in terms of vector spherical harmonics. Symmetry-breaking bifurcations for a coupled system of Stokes equation and diffusion equations modeling tumor growth, were established in [16,17. A more complex system, modeling wound healing, which includes the Stokes equation coupled to diffusion and hyperbolic equations was considered in [18 where local existence was established. The present system for biofilm, however, is significantly more complex. It involves several Stokes flows in two domains with a free interface. Furthermore, on the free boundary, the conditions of continuity of velocities and forces are not standard. In addition, a coefficient θ n appears in the Stokes equations and in the boundary conditions at the free boundary, and θ n satisfies a diffusion equation coupled with the Stokes equations. The main result of this paper is a proof of existence and uniqueness of a smooth solution for a short time interval. The proof is based on the Schauder estimates and consists of three main steps presented in Sections 3-5. In Section 3, we consider the situation in which the fluids are in two fixed domains and θ n is a given function, and use the following procedure to prove the existence and uniqueness of solution for this fixed boundary problem: flatten the boundary and reflect the system in one domain locally into the other domain, use local Schauder estimates, and then a partition of unity to derive global Schauder estimates; apply the a priori estimates to a special system to establish existence; and finally by the method of continuity establish existence for the general system for the fixed boundary problem with given θ n. In Section 4, we use the approach of [18 to extend the results in Section 3 to the situation with moving boundaries but still with a given function θ n, using a fixed point theorem. In Section 5, we extend the analysis to include the variable θ n using a fixed point theorem once more. In Section 6 we show how our general result can be used to establish existence and uniqueness, in small time, for a general biofilm model. 2

3 2 The general mathematical model In this section, we state the general two-phase free boundary problem. We consider the geometry given in Figure 1, where a growing gel, modeled as a mixture of fluids, occupies a domain t outside a solid substrate G, and is surrounded by an incompressible fluid in a domain t. The interface Γ = Γ t between t and t is a free boundary which evolves in time. The PE system in t is given by, v 1 + v T 1 P 1 = f 1 in t, 2.1 v 1 = h 1 in t, 2.2 where v 1 and P 1 are the velocity and pressure of the fluid in the domain t, f 1 is the body force acting on the fluid, and h 1 is included for generality. In the t phase, we have a more complicated system of PEs, θ n t + θ nv 2 = ε θ n + G n in t, 2.3 [θ n v 2 + v T 2 θ n P 2 = f 2 in t, 2.4 [1 θ n η v 3 + v T 3 1 θ n P 2 = f 3 in t, 2.5 θ n v θ n v 3 = h 2 in t, 2.6 where θ n is the volume fraction of the polymer, 1 θ n is the volume fraction of the solvent, G n is the rate of mass conversion from solvent to polymer network, v 2 and v 3 are the velocities of the polymer and fluid, P 2 is the pressure of the mixture in the domain t, and f 2 and f 3 are the body force acting on the two components of the solution including the friction forces between the them, and h 2 is included for generality. We note that the total mass of the polymer network is not conserved if the conversion rate G n is nonzero. However, if h 1 = h 2 = 0, as we consider in the actual biofilm model in Sec. 6, the total mass of the solvent in t t and the polymer in t is conserved, reflecting conservation of mass in the entire domain. The boundary conditions are v 2 n + v T 2 n P 2 n v 1 n + v T 1 n P 1 n = g 1 on Γ t, 2.7 η v 3 n + η v3 T n P 2 n v 1 n + v1 T n P 1 n = g 2 on Γ t, 2.8 v 1 = θ n v θ n v 3 on Γ t, 2.9 v 1 = 0 on S and v 2 = v 3 = 0 on G, 2.10 θ n = 0 on t, 2.11 n where n is the outward normal, and g 1 and g 2 are additional forces acting on the moving interface Γ t, including, e.g., surface tension. The boundary conditions represents balance of forces and velocities across the free boundary. The velocity of the boundary Γ t in the normal direction is thus given by The initial condition for θ n is V Γ t = v n n on Γ t θ n t=0 = θ 0 in Existence and uniqueness of solution for the static reduced problem Given θ n, consider the static reduced problem for v 1, v 2, v 3, P : v 1 + v T 1 P 1 = f 1 in, 3.1 v 1 = h 1 in, 3.2 [θ n v 2 + v T 2 θ n P 2 = f 2 in, 3.3 [1 θ n η v 3 + v T 3 1 θ n P 2 = f 3 in, 3.4 θ n v θ n v 3 = h2 in, 3.5 3

4 with the boundary conditions v 2 n + v T 2 n P 2 n v 1 n + v T 1 n P 1 n = g 1 on Γ, 3.6 η v 3 n + η v T 3 n P 2 n v 1 n + v T 1 n P 1 n = g 2 on Γ, 3.7 v 1 = θ n v θ n v 3 on Γ, 3.8 v 1 = 0 on S and v 2 = v 3 = 0 on G. 3.9 In this section we prove that this problem has a unique classical solution, given that and η is a positive constant. f 1 C α, f 2 C α, f 3 C α, h 1 C 1+α, h 2 C 1+α, 3.10 g j C 1+α Γ, j = 1, 2, 3.11 S, G and Γ are in C 2+α, 3.12 θ n C 2+α, 0 < θ n < 1 in, 3.13 Remark. Note that θ n occurs in Equations After rewriting 3.5 in the form θ n v θ n v 3 = h 2 + h, where h includes terms with θ n, we see that θ n C 2+α is needed to ensure that the function h belongs to C 1+α. Structure of the proof. To prove this result, we consider the following parametrized problem: with the boundary conditions v 1 + λ v T 1 P 1 = f 1 in, 3.14 v 1 = h 1 in, 3.15 [θ n v 2 + λ v T 2 θ n P 2 = f 2 in, 3.16 [1 θ n η v 3 + λ v T 3 1 θ n P 2 = f 3 in, 3.17 θ n v θ n v 3 = h 2 in, 3.18 v 2 n + λ v T 2 n P 2 n v 1 n + λ v T 1 n P 1 n = g 1 on Γ, 3.19 η v 3 n + ηλ v T 3 n P 2 n v 1 n + λ v T 1 n P 1 n = g 2 on Γ, 3.20 v 1 = θ n v θ n v 3 on Γ, 3.21 v 1 = 0 on S and v 2 = v 3 = 0 on G, 3.22 with 0 λ 1. For easy reference we denote this system of equations and the boundary conditions, respectively, by L λ v = F, B λ v = G. We first prove uniqueness of solutions for L λ, B λ for all 0 λ 1 by deriving an energy equality. We then establish Schauder estimates as follows: i we consider the case of a planar interface, reflect one system across the interface and derive the Schauder estimates for the combined system in the reflected domain; ii using partition of unity {χ k } of a neighborhood of the interface and flattening the free boundary in a small region containing the support of χ k for each k, we use i to extend the Schauder estimates to general fixed domains. We next prove the existence of solutions for L 0, B 0. This is done by applying Lax-Milgram lemma to establish existence of a unique solution in H 1, and taking finite differences we extend the regularity to H 2, H 3, etc, and eventually to C 2+α. Finally, by a continuity method, we derive existence and uniqueness of solutions for the system which corresponds to the parameterized problem with λ = 1. 4

5 3.1 Uniqueness of solutions We shall prove that the only solution to the corresponding homogeneous problem of is zero. We multiply v 1,j to the j-th equation of 3.14 and apply integration by part. We obtain, Similarly, v 1 f 1 dx = v 2 f 2 dx = = = [ v 1,j [ v 1,j v 1,j i,j=1 [ v 2,j [ v 2,j θ n v2,j θ n i,j=1 v1,j + λ v 1,i P 1 dx x j x j v1,j + λ v 1,i n i P 1 n j ds x j v1,j + λ v 1,i x j dx + P 1 v 1 dx. v2,j θ n + λ v 2,i P 2 θ n dx x j x j v2,j + λ v 2,i n i P 2 n j ds x j v2,j + λ v 2,i dx + P 2 θ n v 2 dx. x j v 3 f 3 dx = = [ v 3,j [ v 3,j 1 θ n j=1 i,j=1 1 θ n η v3,j 1 θ n η v3,j Taking the sum of the above three equations, we obtain where I b is the sum of the boundary integrals + λ v 3,i x j 1 θ n P 2 x j v3,j η + λ v 3,i n i P 2 n j ds x j v3,j + λ v 3,i dx + P 2 1 θ n v 3 dx. x j I d = I b + I p I f, 3.23 dx I b = v1,j + λ v 1,i n i P 1 n j ds x j [ v 1,j [ v2,j + v 2,j θ n + λ v 2,i n i P 2 n j ds x j [ + v 3,j 1 θ n η j=1 v3,j + λ v 3,i n i P 2 n j ds, x j 5

6 and I b = Γ + I d = i,j=1 v 1,j v1,j + λ v 1,i dx + x j i,j=1 θ n v 2,j + 1 θ n η v 3,j v3,j + λ v 3,i dx, x j i,j=1 I p = P 1 v 1 dx + P 2 θ n v θ n v 3 dx, I f = v 1 f 1 dx + v 2 f 2 + v 3 f 3 dx. From we see that [ θ n v 2,j + 1 θ n v 3,j + = Γ Γ j=1 v1,j + λ v 1,i n i P 1 n j ds x j [ v2,j v 2,j θ n + λ v 2,i n i P 2 n j ds x j [ v 3,j 1 θ n Γ j=1 [ θ n v 2,j [ + θ n v 3,j Γ j=11 = θ n v 2 g θ n v 3 g 2 ds, Γ and from 3.2, 3.5, we obtain Notice next that i,j=1 = [ v1,j 1 + λ v3,j η + λ v 3,i n i P 2 n j ds x j v2,j + λ v 2,i n i P 2 n j x j 2 + λ v1,i v3,j η + λ v 3,i n i P 2 n j x j v1,j 2 + I p = v1,i i,j=1,i j x j P 1 h 1 + P 2 h 2 dx. 1 λ v1,i x j v2,j + λ v 2,i dx x j v1,j + λ v 1,i n i + P 1 n j x j 2 + i,j=1,i j and that similar formulas hold for v 2 and v 3. Hence we can rewrite I d in the form 2 I d = v1,i 2 v1,i 1 + λ + 1 λ + x j i,j=1,i j i,j=1,i j 2 + θ n v2,i 2 v2,i 1 + λ + 1 λ + x j i,j=1,i j i,j=1,i j θ n η v3,i 2 v3,i 1 + λ + 1 λ + x j i,j=1,i j v1,j η + λ v 1,i n i + P 1 n j x j λ v1,j + v 2 1,i, 2 x j λ v1,j + v 2 1,i dx 2 x j λ v2,j + v 2 2,i dx 2 x j λ v3,j + v 2 3,i dx. 2 x j i,j=1,i j 6

7 Given g i = h i = f i = 0, we then have I b = I p = I f = 0, so that I d = 0. If 0 λ < 1, then v k,i x j 0, a.e., i, j, k = 1, 2, 3. Since θ n 0, 1 in. Using the zero boundary condition we find that v k 0. If λ = 1, then from the vanishing of I d we only obtain v k,i 0, and v k,j + v k,i 0 a.e., i, j, k = 1, 2, x j By 3.22, on the fixed boundary S, we have v 1,i = 0, and in the domain, v 1,i = 0 a.e.. Therefore v 1,i 0 a.e. on the sets of points that can be connected by a line segment in x i direction to the boundary S. enote this = 0. Thus v 1,i = 0 a.e. in the portion of 1j 0 that is j i 1ij 0. coincides with. Otherwise, we continue this process and at each step increase the set set by 0 1i. Since v 1,j = 0 a.e. in 0 1j, v 1,i x j = v 1,j connected by a line segment in x j direction to 0 1i. enote this set by 0 1ij and let 1 1i = 1i If Γ is convex, then 1i 1 where v 1 = 0. Since Γ is continuously differentiable, after a finite number of steps we arrive at the set, so that v 1 = 0 a.e. in. Similarly, we can show that v 2 = v 3 = 0 a.e. in. Thus the homogeneous problem only has the zero solution for v. From the equation 3.1, we see that P = 0 up to a constant. 3.2 C 2+α a priori estimates For any vector valued functions v = v 1, v 2, v 3, we shall use the notation v H if all the components v j H, and we introduce the notation v H = v 1 2 H + v2 2 H + v3 2 H. For simplicity, we consider the case with λ = 1, but the estimates derived below hold true for 0 λ 1, although the details are a lit more complex. The local Schauder estimates in any domain bounded away from Γ is standard. In this section we shall derive estimates that are also valid in a neighborhood of Γ. It will be convenient to use the variables x, y, z instead of x 1, x 2, x Case I: Γ = {z = 0} and v 1 = v 2 = v 3 0 for x 2 + y 2 + z 2 d and small d We assume that Γ is given by {z = 0}, and θ n x, 1 θ n x are uniformly positive. To derive a priori estimates, we use the following reflection: Then v r 1 and P r 1 satisfy the following equations in, v r 1,ix, y, z = v 1,i x, y, z, i = 1, 2, v r 1,3x, y, z = v 1,3 x, y, z, P r 1 x, y, z = P 1 x, y, z, f r 1,ix, y, z = f 1,i x, y, z, i = 1, 2, f r 1,3x, y, z = f 3 x, y, z, h r 1x, y, z = h 1 x, y, z. v r 1 + v r 1 T P r 1 = f r 1, v r 1 = h r 1x, y, z. Using the reflected variables, the original system becomes v r 1 + v r 1 T P r 1 = f r 1 in, 3.25 v r 1 = h r 1x, y, z in, 3.26 [θ n v 2 + v T 2 θ n P 2 = f 2 in, 3.27 [1 θ n η v 3 + v T 3 1 θ n P 2 = f 3 in, 3.28 θ n v θ n v 3 = h 2 in,

8 with the boundary conditions v1,1 r x, y, 0 z + vr 1,3 x, y, 0 x + v 2,1x, y, 0 z + v 2,3x, y, 0 x + v 2,3x, y, 0 y = g 11 on Γ, 3.30 v1,2 r x, y, 0 + vr 1,3 x, y, 0 + v 2,2x, y, 0 z y z = g 12 on Γ, vr 1,3 x, y, v 2,3x, y, 0 + P 1 P 2 = g 13 z z on Γ, 3.32 v1,1 r x, y, 0 + vr 1,3 x, y, 0 + η v 3,1x, y, 0 + η v 3,3x, y, 0 = g 21 z x z x on Γ, 3.33 v1,2 r x, y, 0 + vr 1,3 x, y, 0 + η v 3,2x, y, 0 + η v 3,3x, y, 0 = g 22 z y z y on Γ, vr 1,3 x, y, 0 + 2η v 3,3x, y, 0 + P 1 P 2 = g 23 z z on Γ, 3.35 v1,1x, r y, 0 θ n v 2,1 x, y, 0 1 θ n v 3,1 x, y, 0 = 0 on Γ, 3.36 v1,2x, r y, 0 θ n v 2,2 x, y, 0 1 θ n v 3,2 x, y, 0 = 0 on Γ, 3.37 v1,3x, r y, 0 + θ n v 2,3 x, y, θ n v 3,3 x, y, 0 = 0 on Γ, 3.38 v 1 = v 2 = v 3 0 for x x z 2 d In the sequel, we drop the superscript r when there is no confusion. Ellipticity. We consider the ellipticity, in the sense of [2, p. 39, of the system for the variables v 1, P 1, v 2, v 3, P 2. The matrix l corresponding to the principal part of the operators in these equations is where and the determinant of l is L 1 Ξ T Ξ l Ξ = 0 0 θ n L 1 0 θ n Ξ T θ n L 1 1 θ n Ξ T, 0 0 θ n Ξ 1 θ n Ξ 0 Ξ = ξ 1, ξ 2, ξ 3, L 1 = Ξ 2 + Ξ T Ξ, LΞ = detl Ξ = 2η 3 θ 3 n1 θ n 3 Ξ 18 θ n + 1 θ n /η > 0, Ξ > 0. Therefore the system is elliptic. Supplementary condition. Since we consider a three dimensional problem, the supplementary condition is automatically satisfied [2, p. 39. Complementing boundary condition. In the following we show that the boundary conditions on Γ satisfy the Complementing Boundary Condition [2, p.42. We begin with some computations. Let m be any unit tangential vector on the boundary. Using the fact that m n = 0, we find that the roots τ + k of Lm + τn = 0 are τ + j = i, j = 1, 2,..., 9. As in [2, p.42, we set 6 M + τ = τ τ + j = τ i j=1 8

9 The matrix B Ξ corresponding to the principal part of the boundary operators is ξ 3 0 ξ 1 0 ξ 3 0 ξ ξ 3 ξ ξ 3 ξ ξ ξ ξ 3 0 ξ ηξ 3 0 ηξ 1 0 B Ξ = 0 ξ 3 ξ ηξ 3 ηξ ξ ηξ θ n θ n θ n θ n θ n θ n For n = 0, 0, 1, m = m 1, m 2, 0, we have m n = 0, Ξ = m + τn = m 1, m 2, τ. Using MATLAB symbolic computations we found that 8 B Ξadj l Ξ = τ j Qj, j=0 mod M + τ, with Q 0 a matrix with 9 rows and 11 columns. The determinant of the 9 9 submatrix Q 01 which consists the 1st, and 3rd-10th columns of Q 0, and the 9 9 matrix Q 02 which consists the 2nd-10th columns of Q 0, can be computed to be det Q 01 = m 2 η 27 θ 24 n 1 θ n θ n + 1 θ n /η 3 θ n + 1 θ n /η 9, det Q 02 = m 1 η 27 θ 24 n 1 θ n θ n + 1 θ n /η 3 θ n + 1 θ n /η 9. Since m m2 2 = 1, det Q 01 and det Q 02 cannot vanish simultaneously. Hence the rows of Q 0 are linearly independent. The system is said to satisfy the complimenting boundary condition if the rows of the matrix B Ξadj l Ξ are linearly independent mod M + τ; that is, if 6 C k k=1 j=0 5 τ j Qk j 0 mod M + τ, where Q k j is the k-th row vector of the matrix Q j, then all the constants C k are zero. Suppose not all the C k are zero. Then the row vectors of 5 j=0 τ j Qj are linearly dependent, for all τ, and, in particular, for τ = 0; that is, the row vectors of Q 0 are linearly dependent, which is a contradiction. Thus the complementing boundary condition on Γ has been verified.. Schauder estimates. Since the reflected system satisfies the supplementary condition and complementing boundary condition, we conclude by Theorem 9.3 on page 74 of [2, that the following Schauder estimates hold: v 1 C 2+α + C v j C 2+α + P 1 C 1+α + P 2 C 1+α j=2 f 1 C α + f i C α + h 1 C 1+α + h 2 C 1+α + i=2 j=2 g i C 1+α Γ +C v 1 + L v j L + P 1 L + P 2 L

10 3.2.2 Case II: Γ = {z = φx, y}, φ small in the C α norm In this section, we extend the results of Section to the case where Γ is given by z = φx, y with φ small in the C α norm, and the v i have bounded support. We flatten the boundary by taking x = x, y = y, and z = z φx, y. Under this change of variables, we have, for any function U x, y, z = Ux, y, z, U x = U x + U z φ x, U y = U y + U z φ y, U z = U z U xx = U xx + 2U xz φ x + U z z φ x 2 + U z φ xx, U yy = U yy + 2U yz φ y + U z z φ y 2 + U z φ yy, U xy = U xy + U xz φ y + U yz φ x + U z z φ x φ y + U z φ xy, U xz = U xz + U z z φ x, U zz = U zz. U yz = U yz + U z z φ y, We apply the formulas to the equations for the components of v 1, and for simplicity drop the primes. The equations for v 1 in the new variables are: 2v 11 xx + v 11 yy φ 2 x + φ 2 yv 11 zz 4φ x v 11 xz 2φ y v 11 yz 2φ xx + φ yy v 11 z + v 12 xy φ y v 12 xz φ x v 12 yz + φ x φ y v 12 zz φ xy v 12 z + v 13 xz φ x v 13 zz P 1 x + φ x P 1 z = f 11, v 11 xy φ y v 11 xz φ x v 11 yz + φ x φ y v 11 zz φ xy v 11 z + v 12 xx + 2v 12 yy +1 + φ 2 x + 2φ 2 yv 12 zz 2φ x v 12 xz 4φ y v 12 yz φ xx + 2φ yy v 12 z + v 13 yz φ y v 13 zz P 1 y + φ y P 1 z = f 12, or v 11 xz φ x v 11 zz + v 12 yz φ y v 12 zz + v 13 xx + v 13 yy φ 2 x + φ 2 yv 13 zz 2φ x v 13 xz 2φ y v 13 yz φ xx + φ yy v 13 z P 1 z = f 13, v 11 x φ x v 11 z + v 12 y φ y v 12 z + v 13 z = h 1, v 1 + v T 1 P 1 = f 1 + F v 1, P 1, φ + F 2 1 v 1, 2 φ in, v 1 = h 1 + H 1 φ, v 1 in, where F 1 1 C α C 2 v 1 Cα + P 1 Cα φ Cα, F 2 1 Cα C v 1 Cα 2 φ Cα, H 1 C 1+α C v 1 C 1+α φ C α + v 1 C α 2 φ C α. Similarly, under the new variables, [θ n v 2 + v T 2 θ n P 2 = f 2 + F v 2, P 2, φ + F 2 2 v 2, 2 φ, [1 θ n η v 3 + v T 3 1 θ n P 2 = f 3 + F v 3, P 2, φ + F 2 3 v 3, 2 φ. θ n v θ n v 3 = h 2 + H 2 v 2, v 3, φ, The boundary conditions are transformed in a similar way. 10

11 We now use the reflections as in Section 3.2.1, and thus derive that the following estimates for any solution of the system: v j C 2+α + j=1 P j C 1+α j=1 { C f i C α + φ C α 2 v j C α + 2 φ C α v j C α + h i C 1+α + g i C 1+α + φ C α v j C 1+α + v 1 L + } v j L + P 1 L + P 2 L. j=2 Using the assumption that φ C α is small, and the interpolation inequality v j C 1+α ε v j C 2+α + C ε v j L, and going back to the original domain, we obtain the Schauder estimates We note that the constant C depends on θ n Case III: arbitrary Γ = {z = φx, y} Let χ k k = 1,..., N be a partition of unity of, such that χ 1,..., χ N1 form a covering of Γ, χ N1+1,..., χ N2 form a covering of G, and the support of the remaining χ k lie in the interior of. The support of each χ k is taken as a ball B k with a small radius < d. By translation and rotation, we may assume that B k Γ, for any 1 k N 1, has the form z = ψx, y where ψ C α is small, as in Section Then the Schauder estimates can be applied in this ball. Similarly one can derive Schauder estimates in the balls which cover G. The Schauder estimates hold also in each ball B k for k > N 2, and they also hold for any compact subset 1 of which does not intersect Γ. efine u k = χ k u, v k = χ k v, w k = χ k w, P k j v j = = χ kp j, so that N vj k, j = 1, 2, 3, and Pj k = k=1 For each k, we have the following equations, N Pj k, j = 1, 2. k=1 v k 1 + v k 1 T P k 1 = χ k f χ k v 1 + χ k v 1 + χ k h 1 + P 1 + χ k 2 v 1 + v T 1 in, v k 1 = χ k h 1 + χ k v 1 in, [θ n v k 2 + v k 2 T θ n P k 2 = χ k f 2 + θ n 2 χ k v 2 + θ n χ k v 2 +θ n χ k v 2 + v T 2 + χ k θ n v 2 + χ k θ n v 2 + θ n P 2 χ k in, [1 θ n η v 3 + v T 3 1 θ n P 2 = χ k f 3 + η1 θ n 2 χ k v 3 + η1 θ n χ k v 3 +η1 θ n χ k v 3 + v T 3 + η χ k 1 θ n v 3 +η χ k 1 θ n v 3 + η1 θ n P 2 χ k in, θ n v θ n v 3 = χ k h 2 + χ k θ n v θ n v 3 in, with corresponding boundary conditions whose right hand side may involve χ k. 11

12 By applying 3.42 we obtain, for each k, vj k C 2+α + j=1 Pj k C 1+α j=1 C f i C α + i h i C 1+α + g i C 1+α +C χ k L v j C 1+α + P j C α + 2 χ k L v j C α Summing over k, and combining the Schauder estimates for v i, P i, we obtain v 1 C 2+α + v j C 2+α + P 1 C 1+α + P 2 C 1+α j=2 C f 1 + Cα f i Cα + h 1 C 1+α + h 2 C 1+α + i=2 j=2 g i C 1+α Γ +C v 1 C 1+α + v j C 1+α + P 1 Cα + P 2 Cα Using again interpolation, we again obtain the estimate Noting that the solution is unique, up to constants for P j, we proceed to show that the terms involving the L norms on the right-hand side of 3.42 can be dropped when the 1 + α norm of P j is replaced by α norm of P j. Clearly, the estimate 3.42 is valid when P j is replaced by P j µ, for any constant µ. We take a point M Γ and set µ = P 1 M. Then, by Poincaré s inequality, and, by 3.19, P 1 µ L C P 1 L, P 2 µ L P 2 P 2 M L + P 2 M P 1 M L From 3.42 it then follows that C P 2 L + C g 1 L + v 1 L + v 2 L v 1 C 2+α + v j C 2+α + P 1 Cα + P 2 Cα j=2 C f 1 C α + f i C α + h 1 C 1+α + h 2 C 1+α + i=2 +C v 1 L + v j L + P 1 L + P 2 L. j=2 g i C 1+α Γ 3.46 Next, we shall prove, by contradiction, that the L norms of the v i can be eliminated by the right-hand side of 3.46, so that v 1 C 2+α + v j C 2+α + P 1 Cα + P 2 Cα j=2 C f 1 C α + f i C α + h 1 C 1+α + h 2 C 1+α + i=2 g i C 1+α Γ Assume that this is not true. Then there exist sequences of data fi n, hn i, gn i bounded in their respective norms, and solutions vj n such that Q n {left-hand side of 3.47 corresponding to vj n}. Hence Q0 n v1 n L + 12

13 3 j=2 vn j L + P 1 n L + P 2 n L. We normalize the solution and data by Q 0 n. Since the system of equations is linear, we get fi n, hn i, gn i 0, so that, by 3.47, a subsequence of the solutions v1 n, vn 2, vn 3, P 1 n, P 2 n converges uniformly in their respective domains to a solution v 1, v 2, v 3, P 1, P 2 which is, by uniqueness, identically zero. Since, however v 1 L + 3 j=2 v j L + P 1 L + P 2 L = 1, this is a contradiction. We note that the above proof is valid for any 0 λ 1 and the constant C in 3.47 can be chosen to be independent of λ. 3.3 C 3+α a priori estimates The arguments used to derive the C 2+α Schauder estimate can also be applied to show that if Γ C 3+α, θ n C 3+α, f j C 1+α, g i, h i C 2+α in their respective sets, then the following C 3+α Schauder estimate holds: v 1 C 3+α + v j C 3+α + P 1 C 1+α + P 2 C 1+α j=2 C f 1 C 1+α + f i C 1+α + h 1 C 2+α + h 2 C 2+α + i=2 g i C 2+α Γ Existence of solution for λ = 0 In this section, we take λ = 0, and prove that if Γ is in C, f 1, h 1 C, f 2, f 3, h 2 C, and g 1, g 2 C Γ, then there exists a weak solution, v 1, v 2, v 3, P 1, P 2 H 1 H 1 H 1 L 2 L 2 to the system with boundary conditions Next we shall improve the regularity and show that the solution is in C 2+α. Finally, we shall prove the existence of solution in C 2+α under the assumptions Existence of weak solution We first consider the case that h 1 = h 2 = 0 in, and g 1 = g 2 = 0 on Γ. The general case will be considered later. We introduce the linear space H of vectors φ 1, φ 2, φ 3 H where each φ i is a 3 vector, as follows, H = {φ 1 H 1, φ 2 H 1, φ 3 H 1 : φ 1, φ 2, φ 3 satisfies 3.15, 3.18, 3.21, 3.22}. We define a norm H on H by and an inner product by φ 1, φ 2, φ 3 H = φ 1 2 H 1 + φ 2 2 H 1 + φ 3 2 H 1 1/2 < φ 1, φ 2, φ 3, ψ 1, ψ 2, ψ 3 >=< φ 1, ψ 1 > H 1 + < φ 2, ψ 2 > H 1 + < φ 3, ψ 3 > H 1. One can easily show that H is a Hilbert space. We multiply the j-th equation of 3.14, 3.16 and 3.17 by vector functions φ 1,j, φ 2,j, and φ 3,j, then take the sum over j, and integrate over the domain for 3.14, and over the domain for 3.16 and After integration by parts, we obtain, [ v1,j φ 1 f 1 dx = φ 1,j P 1 dx x j v1,j = n i P 1 n j ds [ φ 1,j φ 1,j i,j=1 13 v1,j dx + P 1 φ 1 dx.

14 φ 2 f 2 dx = = [ v2,j P 2 φ 2,j θ n θ n dx x j v2,j n i P 2 n j ds [ φ 2,j θ n φ2,j θ n i,j=1 v2,j dx + P 2 θ n φ 2 dx. φ 3 f 3 dx = = [ φ 3,j [ φ 3,j 1 θ n j=1 i,j=1 1 θ n η v3,j 1 θ n η φ3,j 1 θ n P 2 x j v3,j η n i P 2 n j ds v3,j dx dx + P 2 1 θ n φ 3 dx. We take the sum of the above three equations, and obtain the relation I d = I b + I p I f, 3.49 where I b is the sum of the boundary integrals and If φ 1, φ 2, φ 3 H, then [ v1,j I b = φ 1,j n i P 1 n j ds [ v2,j + φ 2,j θ n n i P 2 n j ds [ v3,j + φ 3,j 1 θ n η n i P 2 n j ds, j=1 φ 1,j v1,j φ 2,j I d = dx + θ n i,j=1 i,j=1 + 1 θ n η φ 3,j v3,j dx, i,j=1 I p = P 1 φ 1 dx + P 2 θ n φ 2 + θ 3 φ 3 dx, I f = φ 1 f 1 dx + φ 2 f 2 + φ 3 f 3 dx. I p = 0, v2,j dx 14

15 and I b = Γ + = [ v1,j θ n φ 2,j + 1 θ n φ 3,j n i P 1 n j ds j=1 Γ j=1 Γ j=1 + = Γ [ v2,j φ 2,j θ n n i P 2 n j ds + Γ θ n φ 2,j [ v2,j n i P 2 n j 1 θ n φ 3,j [η v1,j v3,j Γ j=1 θ n φ 2 g θ n φ 3 g 2 ds = 0. efine the bilinear form B[φ, v = I d = i,j=1 + By the Cauchy-Schwartz inequality, Also, B[v, v = C i,j=1 v1,i i,j=1 φ 1,j j=1 n i + P 1 n j ds v1,j n i P 2 n j v1,j 1 θ n η φ 3,j 2 dx + dx + v3,j [ v3,j φ 3,j 1 θ n η n i P 2 n j ds i,j=1 + P 1 n j ds θ n φ 2,j v2,j dx dx B[φ, v C φ H v H θ n i,j=1 v2,i x j x j v 1 2 L 2 + v 2 2 L 2 + v 3 2 L 2 2 dx + 1 θ n η, C > 0. i,j=1 v3,i x j 2 dx We can then use the Poincaré s inequality since v = 0 on the fixed boundary, by 3.22, to deduce that B[v, v C v 2 H, 3.52 with another positive constant C. In view of 3.51 and 3.52, we can apply the Lax-Milgram lemma, to conclude that there exists a unique element v H such that B[φ, v = I f φ, φ H Next we show that there exist scalar functions P 1 L 2, P 2 L 2 such that where v is the weak solution of 3.53, and B[φ, v = I p φ I f φ, φ Ĥ, 3.54 Ĥ = {φ 1 H 1, φ 2 H 1, φ 3 H 1 : φ 1, φ 2, φ 3 satisfies 3.21, 3.22}. This will prove that v 1, v 2, v 3, P 1, P 2 is a weak solution in case the h i and g i are identically zero. We will need Propositions 1.1 and 1.2 ii of [43, which we restate as a lemma: Lemma 1 i Let be an open set of R n and f = f 1,..., f n, f i, i = 1,..., n. A necessary and sufficient condition that f = p, for some p in, is that f, ν = 0, for all ν C0 with ν = 0. ii Let be a bounded Lipschitz open set in R n. If a distribution p has all its first derivatives i p, 1 i n, in H 1, then p L 2 and p L 2 /R c p H. 1 15

16 In the statement i, the notation f, ν denotes the application of the distribution f to a test function ν. To any Φ H0 1 Γ, we correspond a vector φ by φ 1 = Φ, φ 2 = φ 3 = Φ, φ = φ 1, φ 2, φ 3. It is clear that Φ = 0 if and only if φ 1 = 0 and θ n φ 2 +1 θ n φ 3 = θ n +1 θ n Φ = Φ = 0. We define the distribution F by FΦ = B[φ, v + I f φ, where φ = φ 1, φ 2, φ 3. Then FΦ = I p Φ = 0 if Φ C0 P such that Further, since Γ with Φ = 0. Thus, by Lemma 1 i, there exists a distribution F = P. FΦ B[φ, v + I f φ C Φ H 1 Γ, where C is a positive constant depending on f i, v i, θ n, we deduce that F = P H 1 Γ, and by Lemma 1 ii, we conclude that P L 2 Γ. We next define P 1 = P, P 2 = P, so that P 1 L 2, P 2 L 2, and proceed to show that P 1, P 2 is a solution to 3.54, i.e., for any φ Ĥ, φ i C, the equation 3.54 holds. We introduce a function Φ H0 1 Γ by Φ = φ 1, Φ = θ n φ θ n φ 3. The conditions 3.21, 3.22 imply that Φ H0 1 Γ. We define φ = Φ, Φ, Φ ; then ˆφ = φ φ H again using θ n Φ + 1 θ n Φ = Φ. Since Φ H0 1 Γ, we obtain B[ φ, v + I f φ = FΦ =< P, Φ >= and since ˆφ H, we also have, by 3.53, Therefore, for φ = ˆφ + φ, we have B[ ˆφ, v + I f ˆφ = 0. P Φ dx = I p φ, B[φ, v + I f φ = B[ ˆφ, v + I f ˆφ + B[ φ, v + I f φ = 0 + I p φ = I p φ, and so the assertion 3.54 holds. To summarize, we proved that there exist a weak solution v 1, v 2, v 3, P 1, P 2 H 1 H 1 H 1 L 2 L 2 to the static reduced problem, given h 1 = h 2 = 0 in, g 1 = g 2 = 0 on Γ. We next consider the case g 1 = 0, g 2 = 0 on Γ, but h 1, h 2 are arbitrary. We can construct functions w 1 H 1, w 2 H 1 such that Indeed, if we let w 1 = h 1 in, w 2 = h 2 in, 3.55 w 1 = w 2 on Γ, w 1 = 0, w 2 = 0 on the fixed boundaries. w = w 1 in, w = w 2 in, h = h 1 in, h = h 2 in, then the problem of constructing the w i is equivalent to solving w = h in Γ, w = 0 on S G. 16

17 Given h L 2 Γ, one can solve the Stokes equation to obtain w H0 1 Γ ; see [31. By subtracting w 1, w 2, w 2 from v 1, v 2, v 3, we can eliminate h 1, h 2, with new functions f i and g i. Finally, we consider the case where also g 1, g 2 are arbitrary. We want to introduce functions u 1, u 3, Q 1, Q 2, and subtract them from v 1, v 3, P 1, P 2, in a way that g 1, g 2 can be eliminated without changing any equations except for the functions f i. We take u 1, u 3, Q 1, Q 2 such that u 1 = 0 in, 1 θ n u 3 = 0 in, u 1 n + Q 1 n = g 1 on Γ, 3.56 η u 3 n Q 2 n = g 2 g 1 on Γ, u 1 = 1 θ n u 3 on Γ, u 1 = 0 on S u 3 = 0 on G. The above system is under-determined, and we construct a solution in two steps as follows. We begin by constructing a curvilinear orthogonal coordinate system q 1, q 2, q 3 with scalar factors h 1, h 2, h 3 in an ε-neighborhood of Γ, where ε is taken small such that the coordinate system is well-defined, with Γ = {q 3 = 0}, and we construct the solution in the region q 3 ε. Writing out the above equations except the last two in this new coordinate system near Γ, we have [ 1 u11 h 2 h 3 u 1 = h 1 h 2 h 3 q 1 + u 12h 1 h 3 q 2 + u 13h 1 h 2 q 3 = 0, θ n u 3 [ 1 1 θn u 31 h 2 h 3 = h 1 h 2 h 3 q θ nu 32 h 1 h 3 q θ nu 33 h 1 h 2 q 3 = 0, u 11 h 3 q 3 u 13 h 3 h 1 h 3 q 1 = g 11 on Γ, u 12 h 3 q 3 u 13 h 3 h 2 h 3 q 2 = g 12 on Γ, u 13 h 3 q 3 + u 11 h 3 h 1 h 3 q 1 + u 12 h 3 h 2 h 3 q 2 Q 1 = g 13 on Γ, 3.61 η 1 h 3 u 31 q 3 η u 33 h 1 h 3 h 3 q 1 = g 21 g 11 on Γ, 3.62 η 1 h 3 u 32 q 3 η u 33 h 2 h 3 h 3 q 2 = g 22 g 12 on Γ, 3.63 η 1 u 33 h 3 q 3 + η u 31 h 3 h 1 h 3 q 1 + η u 32 h 3 h 2 h 3 q 2 Q 2 = g 23 g 13 on Γ, 3.64 u 11 = 1 θ n u 31, u 12 = 1 θ n u 32, u 13 = 1 θ n u 33 on Γ If we take u 1 = u 3 = 0 on Γ, then 3.65 is automatically satisfied, and the boundary conditions can be simplified to 1 u 11 h 3 q 3 = g 11 on Γ, u 12 h 3 q 3 = g 12 on Γ, u 13 h 3 q 3 Q 1 = g 13 on Γ, 3.68 η 1 h 3 u 31 q 3 = g 11 on Γ, 3.69 η 1 h 3 u 32 q 3 = g 12 on Γ, 3.70 η 1 h 3 u 33 q 3 Q 2 = g 13 on Γ,

18 In the region { q 3 ε}, we define q 3 u 11 = g 11 q 1, q 2 ζq 3 u 12 = g 12 q 1, q 2 ζq 3 0 q 3 0 h 3 q 1, q 2, τdτ, h 3 q 1, q 2, τdτ, where ζq 3 is a cutoff function that satisfies ζq 3 = 1 if q 3 ε/4, and ζq 3 = 0 if q 3 ε/2. We then solve 3.57 for u 13, u 13 = 1 q 3 u11 h 2 h 3 h 1 h 2 0 q 1 + u 12h 1 h 3 q 2 dτ, and, finally, we use 3.68 to define Q 1. We also define u 3, Q 2 in { q 3 ε } in a similar way. We next extend the solution u 1, and using a similar method, we can extend u 3. We take a domain with smooth boundary, and \{q 3 < ε} \{q 3 < 3ε/4}; then u 1 is already defined on \Γ. We redefine and extend u 1 into \ by solving the following problem, u 1 = 0 in \, u 1 = u 1 \Γ on \Γ, 3.72 u 1 = 0 on S. The problem 3.72 can be solved in a similar way as before. The functions Q 1 and Q 2 can be extended in any way, provided that we preserve their regularity. The functions u 1, u 3, Q 1, Q 3 defined above thus form a solution to the problem Hence the case of arbitrary g 1, g 2 can be reduced to the case of g 1 = g 2 = 0. In conclusion, we have proved that there exists a weak solution v 1, v 2, v 3, P 1, P 2 to the static reduced problem with λ = 0, and v 1 H 1, v 2, v 3 H 1, P 1 L 2, P 2 L Regularity of solution In this section we prove that the solution v 1, v 2, v 3, P 1, P 2 is in C if the boundaries, S, G and the inhomogeneous data are in C. Interior regularity. Consider the bilinear form B[φ, v = I f φ, φ H. Given an open set V with V, we take open sets W, Ŵ such that V W, W Ŵ, Ŵ, and select a smooth cutoff function ζ such that ζ 1 in V, ζ 0 in \W, 0 ζ 1. We take φ 1 = ζ 2 v 1 h h χ h h, φ 2 = 0, φ 3 = 0, where 0 < h < min{d, W, d W, Ŵ }, and a function χ h which satisfies u h = ux + he j ux, h χ h = ζ 2 v 1 h in, χ h = 0 in \Ŵ. The function χ h can be chosen such that χ h H 1 C v h 1 L 2, where C does not depend on h. 18

19 If we substitute φ into the bilinear form 3.50, we obtain B[φ, v = = = i,j=1 i,j=1 i,j=1 [ i ζ 2 v 1,j h h χ h h j i v 1,j dx i [ ζ 2 v 1,j h + χ h j i v 1,j h dx 2ζ i ζ v 1,j h i v 1,j h + ζ 2 i v 1,j h 2 + i χ h j i v 1,j h dx. Also, I f φ = = j=1 j=1 [ ζ 2 v 1,j h h χ h h j f1,j dx [ ζ 2 v 1,j h + χ h j f1,j h dx. Since we have Thus v 1 h L 2 C v 1 H 1, χ h L 2 C v 1 H 1, f h 1 L2 Ŵ C f 1 H 1, B[φ, v 1 2 v 1 h 2 L 2 V C 2 v 1 2 H 1 I f C v 1 2 H 1 + f 1 2 H 1. v h 1 L 2 V C v 1 H 1 + f 1 H 1, and, by Lemma 15.3 of [12, we conclude that v 1 H 1 V, i.e., v 1 Hloc 2. Similarly, we can show that v 2, v 3 Hloc 2. For any φ with φ 1 H0 1V, φ 2 = φ 3 = 0, P1 h φ 1 dx = B[φ, v h + f1 h φ 1 dx C v 1 H 2 + f 1 H 1 φ1 H 1. Thus by [43, we have P1 h L 2 V C, and by Lemma 15.3 of [12, P 1 Hloc 1. Similarly, we can show that P 2 Hloc 1. Boundary regularity. We next show that the velocities v i are in H 2 along Γ. A simpler argument can establish the regularity near the fixed boundaries, and it is omitted here. We use partition of unity to cover the boundary Γ by a finite number of balls B ε with radius ε. We introduce new variables x = x, y = y, z = z ζx, y to flatten the boundary about each of the local coordinate systems. The radius ε is taken small enough so that the variational formulation of the transformed system is coercive. Then we can use the same method as for the interior estimates to show that second order derivatives of x v i, y v i, and the first order derivatives x P i, y P i are in L 2 in their respective domains. erivatives in the other directions are obtained from the transformed equations. In particular, from the equation for v 1, P 1, we obtain, in B ε, 1 + 2ζ 2 x + ζ 2 yv 11 zz + ζ x P 1 z =: Y 1 L 2 B ε, 1 + ζ 2 x + 2ζ 2 yv 12 zz + ζ y P 1 z =: Y 2 L 2 B ε, 2 + ζ 2 x + ζ 2 yv 13 zz P 1 z =: Y 3 L 2 B ε, ζ x v 11 zz ζ y v 12 zz + v 13 zz =: Y 4 L 2 B ε. 19

20 Notice that this is a set of four linear equations for v 11 zz, v 12 zz, v 13 zz, P 1 z, and the coefficients matrix is non-singular. Therefore we can solve the distributions v 11 zz, v 12 zz, v 13 zz, P 1 z as linear combinations of Y i, i = 1, 2, 3, 4, and thus conclude that v 11 zz, v 12 zz, v 13 zz, P 1 z are in L 2 B ε. The argument for 2 z z v 2, 2 z z v 3, z P 2 is similar. By differentiating the equation for v i and applying the above argument we can show that v i are in H 3 loc. The H 3 regularity near the boundary is established, as above, by differentiating first in the tangential directions and then in the normal directions. Similarly, P 1 is in H 2. Repeating this process step-by-step, we conclude that all the derivatives of the v i are in H 2 up to the boundary, provided the f i, h i, g i, θ n, and the boundary are all in C. Hence, v i and P i are in C if the data are in C Classical solution So far we have proved existence and uniqueness in the case λ = 0. Using the Schauder estimates for smooth data we can establish, by the standard method of continuity in the parameter λ, the existence and uniqueness of a solution for each λ, 0 < λ 1. Finally, by approximating Γ and the inhomogeneous data in the appropriate Hólder norms by data for which the right-hand side of 3.47 is uniformly bounded, we derive existence and uniqueness of a solution for λ = 1 with Γ in C 2+α and data for which the right-hand side of 3.47 is finite; the solution satisfies the estimate Existence and uniqueness of solution for the reduced free boundary problem In this section we prove existence and uniqueness of solutions for the reduced free boundary problem with Γ as a moving boundary at the normal velocity V Γ, but with θ n as a given function. The free boundary Γ = Γ t is moving by the velocity v n of the network, so that If we represent Γ t as Ψt, x, y, z = 0, then the equation for Γ t is, V Γ = v n n. 4.1 Ψ t + v n Ψ = 0 on Γ t, n = Ψ Ψ on Γ t. Structure of the proof. We use a method similar to our paper [18. We introduce a parameterization of a free boundary x = Xλ, t and denote by hλ, t the distance from Xλ, 0 to Xλ, t. For any family Xλ, t we solve the fixed boundary problem and use the free boundary condition to define a corresponding function hλ, t. We shall prove that the mapping hλ, t hλ, t is a contraction mapping. To do this we use the hyperbolic equation that hλ, t satisfies to derive a priori estimates. In the following we choose orthogonal curvilinear coordinates λ = λ 1, λ 2 on the initial free boundary X 0, where λ varies in a region Λ, and denote by e n λ, e 1 λ, e 2 λ the orthonormal system along the initial boundary X 0 λ, with e n λ the outward normal, and with e 1 λ, e 2 λ in the tangential plane. We assume that the free boundary can be represented in the form x = Xt, λ, λ Λ. Set 0 = 0, Γ 0 = Γ 0, so that Γ 0 is given by x = X0, λ = X 0 λ. We assume that X 0 λ is in C 3+α Λ, 4.2 for some α 0, 1; if we use spherical coordinates λ = θ, φ, then we need to require that X 0 λ C > 0, λ Λ. We also assume that for 0 t T, θ n, t C 2+α Λ, f j, t Cα Λ, g j, t C 1+α Λ < C, 0 < inf θ n sup θ n < We represent the free boundary Γ t in the form Xλ, t = X 0 λ + ht, λe n λ, 4.4 and denote by t the domain bounded by Γ t and G and by t the domain bounded by Γ t and S see Figure 1. Then 4.1 can be written as 20

21 X t λ, t = v n Xλ, t, t X λi λ, t v nxλ, t, t e i H i, 4.5 where H i = H i h, λ are the Lamé coefficients associated with the coordinate system [35. By 4.4, we have Xλ e n = λ i X 0 λ λ i + and the last term vanishes since e 2 nλ = 1. By 4.4, we also have Hence, 4.5 is equivalent to hλ, t t + hλ, t e n λ e n + hλ, t e nλ e n, λ i λ i X t λ, t e n λ = h t λ, t. v n Xλ, t, t e i H i hλ, t λ i = v n Xλ, t, t e n Using 4.2 one can show that e n λ, e i λ and H i are in C 3. We introduce a class of functions hλ, t by where h T = We need the following lemma X 0 λ vn Xλ, t, t e i e n 4.6 λ i H i W T,M = {hλ, t; hλ, 0 = 0, h T M}, M > 0, sup 0 t T h, t C 2+α Λ + sup Lemma 2 Consider the hyperbolic equation for w = wλ, t, λ Λ j=0 xhλ, j C α [0,T. w t + bλ, t λ w = Gλ, t, λ Λ, 0 t T, T > with initial condition and assume that, for an integer m 1, w t=0 = 0, 4.8 b, t C m+α Λ + G, t C m+α Λ K, t [0, T. Then there exists a unique solution of 4.7, 4.8 satisfying w, t C m+α Λ C 1 KT, 4.9 m sup xwλ, j C α [0,T C 1 KT 1 α, 4.10 λ Λ j=0 m 1 j=0 where C 1 K depends only on K. j xw t, t C1 Λ C 1 KT + K if m 1,

22 Proof. The proof can be carried out in a same way as in [5, Lemma 2.2, integrating along the characteristics to obtain 4.9, and making use of the special zero initial condition 4.8. Then, using the equation 4.7 and the estimates 4.9, we immediately obtain Next, using 4.7 and the estimates 4.11, we obtain the estimates 4.10 for j m 1. Finally, the estimate for j = m in 4.10 is obtained by estimating first in the direction of characteristics and then using 4.9, similarly to the argument in [5. For any h W T,M, we define X by 4.4. We know from Section 3 that the static reduced problem has a unique solution satisfying the Schauder estimates 3.47 with C = CM which depends on M = h T. In particular, for 0 t T, v n, t C 2+α t CM, 4.12 where CM depends on M = h T. We next extend the function v n x, t into t Γ t such that v n, t C 2+α t t c 0CM, c 0 > For simplicity, we denotes the extended function also by v n. We shall need to use the same extension procedure for any v n corresponding to any h in W T,M. We can achieve such an extension by first extending v n along each normal to the surface x = Xt, λ by a polynomial of degree two in the distance along this normal to achieve smooth C 2+α extension and then multiply this extension by a fixed C 3 cutoff function ψ which equals to 1 in t and vanishes outside a small neighborhood of t, independent of t, 0 t T T small. We define a function hλ, t by hλ, t t + hλ, 0 = 0, v n Xλ, t, t e i H i hλ, t λ i = v n Xλ, t, t e n X 0 λ vn Xλ, t, t e i e n, λ i H i where v n is the extension defined above. We note that the assumption 4.2 will be needed in order to prove that hλ, t is in C 2+α. We introduce the mapping S : h h. Clearly h is a fixed point of S if and only if the corresponding v n and Xt, λ form a solution of the reduced free boundary problem. Applying Lemma 2 to h, we get h, t C 2+α Λ C 1 MT, and hλ, Cα [0,T + x hλ, Cα [0,T + 2 x hλ, Cα [0,T C 2 MT 1 α ; here the C i M are constants depending only on M. Taking T such that C 1 MT + C 2 MT 1 α < M, we conclude that S maps W T,M into itself. We next show that S is a contraction, and hence, it has a unique fixed point in W T,M. Take h 1, h 2 W T,M and the corresponding functions X 1, v n, v s, P 1, P 2, h 1 and X 2, w n, w s, Q 1, Q 2, h 2, and set We use the transformation δ = h 1 h 2 T. θ = θ, φ = φ, r = r h1 λ, t h 2 λ, tψr, θ, φ in order to estimate the differences between the two solutions; here ψ is a cut off function which equals to 1 in a small neighborhood of the free boundary. By the same argument used in the proof of 4.12, we can estimate the Cx 2+α norm of v n w n in the transformed domain v n w n C 2+α x CM h 1 h 2 T CMδ

23 Using the equations for h i, and Lemma 2 after dividing by δ, we obtain, h 1 h 2, t C 2+α Λ + x h j 1 h 2 λ, j=0 Cα [0,T CMT + T 1 α δ < δ 2, 4.15 if T is small enough. Hence S is a contraction, and it has a unique fixed point. We summarize: Theorem 3 Consider the free boundary problem , 4.1. If the conditions 4.2, 4.3 hold then there exists a unique solution v 1, v 2, v 3, P 1, P 2, h, for a small time interval 0 t T, satisfying the estimates sup 0 t T v 1 C 2+α t + h, t C 2+α Λ + sup λ Λ j=1 xh j Cα [0,T <, 4.16 v j C 2+α t + P 1 C α t + P 2 C α t < 4.17 j=2 Remark 4 Since the C 3+α Schauder estimates 3.48 are also valid, existence can be obtained also in the framework of C 3+α estimates, assuming that X 0 C 4+α, θ n C 3+α, f j C 1+α, g j, h j C 2+α, i.e., the estimates in 4.17 hold with C 2+α replaced by C 3+α for v i, and C α replaced by C 1+α for P i. 5 Existence and uniqueness of solution for the full problem In this section we assume that f j C 1+α,α/2 E [0,T, f j C α,1+α/2 E [0,T < C, j = 1, 2, 3, g j C 2+α,α/2 E [0,T, g j C 1+α,1+α/2 E [0,T < C, j = 1, 2, h j C 2+α,α/2 E [0,T, h j C 1+α,1+α/2 E [0,T < C, j = 1, 2, G C 1+α,α/2 E [0,T < C 5.1 where E is a neighborhood of 0 0, and that the initial free boundary satisfies: X 0 = X0, C 4+α Λ. 5.2 In the previous sections 3 and 4, the function θ n was a given function. In this section, we shall solve the full free boundary problem by taking θ n to be coupled to v i and the free boundary defined in terms of hλ, t, where θ n satisfies the parabolic equation with boundary conditions and initial conditions θ n t + θ nv 1 = ε θ n + Gx, t in t, 0 t T ε > θ n n = 0 on t, 0 t T, 5.4 θ n x, 0 = θ 0 x for x, 0 < inf θ 0 x sup θ 0 x < We shall use the contraction fixed point theorem establish the existence of a unique solution for a small time interval 0 t T. We shall define a set W T,M1 of functions hλ, t, λ Λ, 0 t T, and a set Z T,M2 of vectors v 1, v 2, v 3. Then for any h old W T,M1 and v1 old, vold 2, vold 3 Z T,M 2, we shall solve the parabolic equation 5.3 with 5.4 and 5.5 to obtain θ new, and then apply Theorem 3 to the reduced free boundary problem with θn new, to obtain new functions v1 new, v2 new, v3 new and h new. We define a mapping S by Sh old, v old 1, v old 2, v old 3 = h new, v new 1, v new 2, v new 3,

24 and shall prove that S is a contraction mapping on W T,M1, Z T,M2, if T is sufficiently small. But in order to accomplish this, we need θ n to have sufficient regularity in t. We are unable to accomplish this if we take hλ, t to be in one of the standard Schauder spaces. Instead, we shall require the function hλ, t to have a rather unusual type of regularity in λ and t, namely, to belong to the class W T,M1 = {hλ, t; hλ, 0 = 0, h T 1, h t L + x h t L + 2 xh t L M 1 }, M 1 > 0, 5.7 where h T = sup 0 t T + h, t C 3+α Λ + sup xhλ, 3 Cα [0,T λ Λ 1 sup sup j=0 λ Λ 0<t 1<t 2<T j x[h t λ, t 1 h t λ, t 2 t 1 t 2 1+α ε1/2, 5.8 and ε 1 < α is a small positive constant. Notice that the last term is roughly a bound on x 3+α ε/2 t h. The reason for introducing ε 1 will become clear later on when we show that it gives rise to a small factor T ε1/4 in a crucial estimate for h. We introduce the sets N T = t [0,T t {t} and T = t [0,T t {t}, and the variables v n in N T and v s in N T T by v n x = v 2 x, x N T, We take v n and v s in the spaces { v1 x, x T v s x = v 3 x, x N T j xv n C α,α/2 N T, j = 0, 1, 2, j xv s C α,α/2 N T C α,α/2 T, j = 0, 1, 2, and we define the set Z T,M2 is given in terms of v n, v s by restricting them as follows: Z T,M2 = { vn, v s ; j xv n C α,α/2 N T M 2, j xv s C α,α/2 N T M 2, j xv s C α,α/2 T M 2, j = 0, 1, 2, } We also assume that θ 0 is in C 3+α θ 0 0, n = 0 on 0, 5.9 and the second order compatability condition is satisfied on 0 {t = 0}. This compatibility condition, on the free boundary x = Xλ, t at t = 0, is the condition that [ d θn lim Xλ, t, t = 0, t 0 dt n where θ n t is computed from the differential equation 5.3 and all the derivatives j xθ n are replaced, as t 0, by j xθ 0. Similarly, one defines the compatability condition on G {t = 0}. Choosing M 1. Under our assumption 5.8, the function h old is clearly C 3+α ε1,3+α ε1/2, with a bound depending only on M 1. From the theory for parabolic equations [26, θ n C 3+α ε1,3+α ε1/2. In particular, the parabolic theory asserts that xθ j n, j = 0, 1 are Lipschitz continuous in t, xθ 2 n is C 1+α ε1/2 Hölder continuous in t, and xθ 3 n is C α ε1/2 Hölder continuous in t. Here we have not used the full norm in 5.8, i.e., the bound on the term with j = 1 in 5.8 was not used. With the j = 1 term in 5.8, the solution θ n is more regular in spatial direction. After flattening the boundary locally as we did in section 3, the coefficients of the equations for θ n involve h old t and xh j old j = 0, 1, 2. Furthermore, we can choose the flattening map such that the homogeneous Neumann boundary condition remains intact. The j = 1 term in 5.8 makes it possible for differentiating in x-direction: when differentiating in 24

Laplace s Equation. Chapter Mean Value Formulas

Laplace s Equation. Chapter Mean Value Formulas Chapter 1 Laplace s Equation Let be an open set in R n. A function u C 2 () is called harmonic in if it satisfies Laplace s equation n (1.1) u := D ii u = 0 in. i=1 A function u C 2 () is called subharmonic

More information

u xx + u yy = 0. (5.1)

u xx + u yy = 0. (5.1) Chapter 5 Laplace Equation The following equation is called Laplace equation in two independent variables x, y: The non-homogeneous problem u xx + u yy =. (5.1) u xx + u yy = F, (5.) where F is a function

More information

Variational Formulations

Variational Formulations Chapter 2 Variational Formulations In this chapter we will derive a variational (or weak) formulation of the elliptic boundary value problem (1.4). We will discuss all fundamental theoretical results that

More information

1. Subspaces A subset M of Hilbert space H is a subspace of it is closed under the operation of forming linear combinations;i.e.,

1. Subspaces A subset M of Hilbert space H is a subspace of it is closed under the operation of forming linear combinations;i.e., Abstract Hilbert Space Results We have learned a little about the Hilbert spaces L U and and we have at least defined H 1 U and the scale of Hilbert spaces H p U. Now we are going to develop additional

More information

l(y j ) = 0 for all y j (1)

l(y j ) = 0 for all y j (1) Problem 1. The closed linear span of a subset {y j } of a normed vector space is defined as the intersection of all closed subspaces containing all y j and thus the smallest such subspace. 1 Show that

More information

LECTURE 1: SOURCES OF ERRORS MATHEMATICAL TOOLS A PRIORI ERROR ESTIMATES. Sergey Korotov,

LECTURE 1: SOURCES OF ERRORS MATHEMATICAL TOOLS A PRIORI ERROR ESTIMATES. Sergey Korotov, LECTURE 1: SOURCES OF ERRORS MATHEMATICAL TOOLS A PRIORI ERROR ESTIMATES Sergey Korotov, Institute of Mathematics Helsinki University of Technology, Finland Academy of Finland 1 Main Problem in Mathematical

More information

EXPOSITORY NOTES ON DISTRIBUTION THEORY, FALL 2018

EXPOSITORY NOTES ON DISTRIBUTION THEORY, FALL 2018 EXPOSITORY NOTES ON DISTRIBUTION THEORY, FALL 2018 While these notes are under construction, I expect there will be many typos. The main reference for this is volume 1 of Hörmander, The analysis of liner

More information

MATH 205C: STATIONARY PHASE LEMMA

MATH 205C: STATIONARY PHASE LEMMA MATH 205C: STATIONARY PHASE LEMMA For ω, consider an integral of the form I(ω) = e iωf(x) u(x) dx, where u Cc (R n ) complex valued, with support in a compact set K, and f C (R n ) real valued. Thus, I(ω)

More information

The continuity method

The continuity method The continuity method The method of continuity is used in conjunction with a priori estimates to prove the existence of suitably regular solutions to elliptic partial differential equations. One crucial

More information

Simple Examples on Rectangular Domains

Simple Examples on Rectangular Domains 84 Chapter 5 Simple Examples on Rectangular Domains In this chapter we consider simple elliptic boundary value problems in rectangular domains in R 2 or R 3 ; our prototype example is the Poisson equation

More information

The heat equation in time dependent domains with Neumann boundary conditions

The heat equation in time dependent domains with Neumann boundary conditions The heat equation in time dependent domains with Neumann boundary conditions Chris Burdzy Zhen-Qing Chen John Sylvester Abstract We study the heat equation in domains in R n with insulated fast moving

More information

CONVERGENCE THEORY. G. ALLAIRE CMAP, Ecole Polytechnique. 1. Maximum principle. 2. Oscillating test function. 3. Two-scale convergence

CONVERGENCE THEORY. G. ALLAIRE CMAP, Ecole Polytechnique. 1. Maximum principle. 2. Oscillating test function. 3. Two-scale convergence 1 CONVERGENCE THEOR G. ALLAIRE CMAP, Ecole Polytechnique 1. Maximum principle 2. Oscillating test function 3. Two-scale convergence 4. Application to homogenization 5. General theory H-convergence) 6.

More information

Appendix A Functional Analysis

Appendix A Functional Analysis Appendix A Functional Analysis A.1 Metric Spaces, Banach Spaces, and Hilbert Spaces Definition A.1. Metric space. Let X be a set. A map d : X X R is called metric on X if for all x,y,z X it is i) d(x,y)

More information

S chauder Theory. x 2. = log( x 1 + x 2 ) + 1 ( x 1 + x 2 ) 2. ( 5) x 1 + x 2 x 1 + x 2. 2 = 2 x 1. x 1 x 2. 1 x 1.

S chauder Theory. x 2. = log( x 1 + x 2 ) + 1 ( x 1 + x 2 ) 2. ( 5) x 1 + x 2 x 1 + x 2. 2 = 2 x 1. x 1 x 2. 1 x 1. Sep. 1 9 Intuitively, the solution u to the Poisson equation S chauder Theory u = f 1 should have better regularity than the right hand side f. In particular one expects u to be twice more differentiable

More information

LECTURE # 0 BASIC NOTATIONS AND CONCEPTS IN THE THEORY OF PARTIAL DIFFERENTIAL EQUATIONS (PDES)

LECTURE # 0 BASIC NOTATIONS AND CONCEPTS IN THE THEORY OF PARTIAL DIFFERENTIAL EQUATIONS (PDES) LECTURE # 0 BASIC NOTATIONS AND CONCEPTS IN THE THEORY OF PARTIAL DIFFERENTIAL EQUATIONS (PDES) RAYTCHO LAZAROV 1 Notations and Basic Functional Spaces Scalar function in R d, d 1 will be denoted by u,

More information

Lecture Notes on PDEs

Lecture Notes on PDEs Lecture Notes on PDEs Alberto Bressan February 26, 2012 1 Elliptic equations Let IR n be a bounded open set Given measurable functions a ij, b i, c : IR, consider the linear, second order differential

More information

Regularity for Poisson Equation

Regularity for Poisson Equation Regularity for Poisson Equation OcMountain Daylight Time. 4, 20 Intuitively, the solution u to the Poisson equation u= f () should have better regularity than the right hand side f. In particular one expects

More information

Scientific Computing WS 2018/2019. Lecture 15. Jürgen Fuhrmann Lecture 15 Slide 1

Scientific Computing WS 2018/2019. Lecture 15. Jürgen Fuhrmann Lecture 15 Slide 1 Scientific Computing WS 2018/2019 Lecture 15 Jürgen Fuhrmann juergen.fuhrmann@wias-berlin.de Lecture 15 Slide 1 Lecture 15 Slide 2 Problems with strong formulation Writing the PDE with divergence and gradient

More information

Sobolev Spaces. Chapter 10

Sobolev Spaces. Chapter 10 Chapter 1 Sobolev Spaces We now define spaces H 1,p (R n ), known as Sobolev spaces. For u to belong to H 1,p (R n ), we require that u L p (R n ) and that u have weak derivatives of first order in L p

More information

(K + L)(c x) = K(c x) + L(c x) (def of K + L) = K( x) + K( y) + L( x) + L( y) (K, L are linear) = (K L)( x) + (K L)( y).

(K + L)(c x) = K(c x) + L(c x) (def of K + L) = K( x) + K( y) + L( x) + L( y) (K, L are linear) = (K L)( x) + (K L)( y). Exercise 71 We have L( x) = x 1 L( v 1 ) + x 2 L( v 2 ) + + x n L( v n ) n = x i (a 1i w 1 + a 2i w 2 + + a mi w m ) i=1 ( n ) ( n ) ( n ) = x i a 1i w 1 + x i a 2i w 2 + + x i a mi w m i=1 Therefore y

More information

An introduction to Mathematical Theory of Control

An introduction to Mathematical Theory of Control An introduction to Mathematical Theory of Control Vasile Staicu University of Aveiro UNICA, May 2018 Vasile Staicu (University of Aveiro) An introduction to Mathematical Theory of Control UNICA, May 2018

More information

Partial Differential Equations

Partial Differential Equations Part II Partial Differential Equations Year 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2015 Paper 4, Section II 29E Partial Differential Equations 72 (a) Show that the Cauchy problem for u(x,

More information

Second Order Elliptic PDE

Second Order Elliptic PDE Second Order Elliptic PDE T. Muthukumar tmk@iitk.ac.in December 16, 2014 Contents 1 A Quick Introduction to PDE 1 2 Classification of Second Order PDE 3 3 Linear Second Order Elliptic Operators 4 4 Periodic

More information

ON WEAKLY NONLINEAR BACKWARD PARABOLIC PROBLEM

ON WEAKLY NONLINEAR BACKWARD PARABOLIC PROBLEM ON WEAKLY NONLINEAR BACKWARD PARABOLIC PROBLEM OLEG ZUBELEVICH DEPARTMENT OF MATHEMATICS THE BUDGET AND TREASURY ACADEMY OF THE MINISTRY OF FINANCE OF THE RUSSIAN FEDERATION 7, ZLATOUSTINSKY MALIY PER.,

More information

Stability of Feedback Solutions for Infinite Horizon Noncooperative Differential Games

Stability of Feedback Solutions for Infinite Horizon Noncooperative Differential Games Stability of Feedback Solutions for Infinite Horizon Noncooperative Differential Games Alberto Bressan ) and Khai T. Nguyen ) *) Department of Mathematics, Penn State University **) Department of Mathematics,

More information

2. Function spaces and approximation

2. Function spaces and approximation 2.1 2. Function spaces and approximation 2.1. The space of test functions. Notation and prerequisites are collected in Appendix A. Let Ω be an open subset of R n. The space C0 (Ω), consisting of the C

More information

SOME VIEWS ON GLOBAL REGULARITY OF THE THIN FILM EQUATION

SOME VIEWS ON GLOBAL REGULARITY OF THE THIN FILM EQUATION SOME VIEWS ON GLOBAL REGULARITY OF THE THIN FILM EQUATION STAN PALASEK Abstract. We introduce the thin film equation and the problem of proving positivity and global regularity on a periodic domain with

More information

The double layer potential

The double layer potential The double layer potential In this project, our goal is to explain how the Dirichlet problem for a linear elliptic partial differential equation can be converted into an integral equation by representing

More information

Multivariable Calculus

Multivariable Calculus 2 Multivariable Calculus 2.1 Limits and Continuity Problem 2.1.1 (Fa94) Let the function f : R n R n satisfy the following two conditions: (i) f (K ) is compact whenever K is a compact subset of R n. (ii)

More information

Point estimates for Green s matrix to boundary value problems for second order elliptic systems in a polyhedral cone

Point estimates for Green s matrix to boundary value problems for second order elliptic systems in a polyhedral cone Maz ya, V. G., Roßmann, J.: Estimates for Green s matrix 1 ZAMM Z. angew. Math. Mech. 00 2004 0, 1 30 Maz ya, V. G.; Roßmann, J. Point estimates for Green s matrix to boundary value problems for second

More information

BIHARMONIC WAVE MAPS INTO SPHERES

BIHARMONIC WAVE MAPS INTO SPHERES BIHARMONIC WAVE MAPS INTO SPHERES SEBASTIAN HERR, TOBIAS LAMM, AND ROLAND SCHNAUBELT Abstract. A global weak solution of the biharmonic wave map equation in the energy space for spherical targets is constructed.

More information

Analysis in weighted spaces : preliminary version

Analysis in weighted spaces : preliminary version Analysis in weighted spaces : preliminary version Frank Pacard To cite this version: Frank Pacard. Analysis in weighted spaces : preliminary version. 3rd cycle. Téhéran (Iran, 2006, pp.75.

More information

Scientific Computing WS 2017/2018. Lecture 18. Jürgen Fuhrmann Lecture 18 Slide 1

Scientific Computing WS 2017/2018. Lecture 18. Jürgen Fuhrmann Lecture 18 Slide 1 Scientific Computing WS 2017/2018 Lecture 18 Jürgen Fuhrmann juergen.fuhrmann@wias-berlin.de Lecture 18 Slide 1 Lecture 18 Slide 2 Weak formulation of homogeneous Dirichlet problem Search u H0 1 (Ω) (here,

More information

Frequency functions, monotonicity formulas, and the thin obstacle problem

Frequency functions, monotonicity formulas, and the thin obstacle problem Frequency functions, monotonicity formulas, and the thin obstacle problem IMA - University of Minnesota March 4, 2013 Thank you for the invitation! In this talk we will present an overview of the parabolic

More information

Functional Analysis. Franck Sueur Metric spaces Definitions Completeness Compactness Separability...

Functional Analysis. Franck Sueur Metric spaces Definitions Completeness Compactness Separability... Functional Analysis Franck Sueur 2018-2019 Contents 1 Metric spaces 1 1.1 Definitions........................................ 1 1.2 Completeness...................................... 3 1.3 Compactness......................................

More information

Sobolev Spaces. Chapter Hölder spaces

Sobolev Spaces. Chapter Hölder spaces Chapter 2 Sobolev Spaces Sobolev spaces turn out often to be the proper setting in which to apply ideas of functional analysis to get information concerning partial differential equations. Here, we collect

More information

SYMMETRY RESULTS FOR PERTURBED PROBLEMS AND RELATED QUESTIONS. Massimo Grosi Filomena Pacella S. L. Yadava. 1. Introduction

SYMMETRY RESULTS FOR PERTURBED PROBLEMS AND RELATED QUESTIONS. Massimo Grosi Filomena Pacella S. L. Yadava. 1. Introduction Topological Methods in Nonlinear Analysis Journal of the Juliusz Schauder Center Volume 21, 2003, 211 226 SYMMETRY RESULTS FOR PERTURBED PROBLEMS AND RELATED QUESTIONS Massimo Grosi Filomena Pacella S.

More information

An introduction to Birkhoff normal form

An introduction to Birkhoff normal form An introduction to Birkhoff normal form Dario Bambusi Dipartimento di Matematica, Universitá di Milano via Saldini 50, 0133 Milano (Italy) 19.11.14 1 Introduction The aim of this note is to present an

More information

STOKES PROBLEM WITH SEVERAL TYPES OF BOUNDARY CONDITIONS IN AN EXTERIOR DOMAIN

STOKES PROBLEM WITH SEVERAL TYPES OF BOUNDARY CONDITIONS IN AN EXTERIOR DOMAIN Electronic Journal of Differential Equations, Vol. 2013 2013, No. 196, pp. 1 28. ISSN: 1072-6691. URL: http://ejde.math.txstate.edu or http://ejde.math.unt.edu ftp ejde.math.txstate.edu STOKES PROBLEM

More information

Lecture 17. Higher boundary regularity. April 15 th, We extend our results to include the boundary. Let u C 2 (Ω) C 0 ( Ω) be a solution of

Lecture 17. Higher boundary regularity. April 15 th, We extend our results to include the boundary. Let u C 2 (Ω) C 0 ( Ω) be a solution of Lecture 7 April 5 th, 004 Higher boundary regularity We extend our results to include the boundary. Higher a priori regularity upto the boundary. Let u C () C 0 ( ) be a solution of Lu = f on, u = ϕ on.

More information

Implicit Functions, Curves and Surfaces

Implicit Functions, Curves and Surfaces Chapter 11 Implicit Functions, Curves and Surfaces 11.1 Implicit Function Theorem Motivation. In many problems, objects or quantities of interest can only be described indirectly or implicitly. It is then

More information

Analysis Finite and Infinite Sets The Real Numbers The Cantor Set

Analysis Finite and Infinite Sets The Real Numbers The Cantor Set Analysis Finite and Infinite Sets Definition. An initial segment is {n N n n 0 }. Definition. A finite set can be put into one-to-one correspondence with an initial segment. The empty set is also considered

More information

Course Summary Math 211

Course Summary Math 211 Course Summary Math 211 table of contents I. Functions of several variables. II. R n. III. Derivatives. IV. Taylor s Theorem. V. Differential Geometry. VI. Applications. 1. Best affine approximations.

More information

Sobolev spaces. May 18

Sobolev spaces. May 18 Sobolev spaces May 18 2015 1 Weak derivatives The purpose of these notes is to give a very basic introduction to Sobolev spaces. More extensive treatments can e.g. be found in the classical references

More information

Problem Set 6: Solutions Math 201A: Fall a n x n,

Problem Set 6: Solutions Math 201A: Fall a n x n, Problem Set 6: Solutions Math 201A: Fall 2016 Problem 1. Is (x n ) n=0 a Schauder basis of C([0, 1])? No. If f(x) = a n x n, n=0 where the series converges uniformly on [0, 1], then f has a power series

More information

for all subintervals I J. If the same is true for the dyadic subintervals I D J only, we will write ϕ BMO d (J). In fact, the following is true

for all subintervals I J. If the same is true for the dyadic subintervals I D J only, we will write ϕ BMO d (J). In fact, the following is true 3 ohn Nirenberg inequality, Part I A function ϕ L () belongs to the space BMO() if sup ϕ(s) ϕ I I I < for all subintervals I If the same is true for the dyadic subintervals I D only, we will write ϕ BMO

More information

Numerical Solutions to Partial Differential Equations

Numerical Solutions to Partial Differential Equations Numerical Solutions to Partial Differential Equations Zhiping Li LMAM and School of Mathematical Sciences Peking University Numerical Methods for Partial Differential Equations Finite Difference Methods

More information

SHARP BOUNDARY TRACE INEQUALITIES. 1. Introduction

SHARP BOUNDARY TRACE INEQUALITIES. 1. Introduction SHARP BOUNDARY TRACE INEQUALITIES GILES AUCHMUTY Abstract. This paper describes sharp inequalities for the trace of Sobolev functions on the boundary of a bounded region R N. The inequalities bound (semi-)norms

More information

Applied Math Qualifying Exam 11 October Instructions: Work 2 out of 3 problems in each of the 3 parts for a total of 6 problems.

Applied Math Qualifying Exam 11 October Instructions: Work 2 out of 3 problems in each of the 3 parts for a total of 6 problems. Printed Name: Signature: Applied Math Qualifying Exam 11 October 2014 Instructions: Work 2 out of 3 problems in each of the 3 parts for a total of 6 problems. 2 Part 1 (1) Let Ω be an open subset of R

More information

Friedrich symmetric systems

Friedrich symmetric systems viii CHAPTER 8 Friedrich symmetric systems In this chapter, we describe a theory due to Friedrich [13] for positive symmetric systems, which gives the existence and uniqueness of weak solutions of boundary

More information

[2] (a) Develop and describe the piecewise linear Galerkin finite element approximation of,

[2] (a) Develop and describe the piecewise linear Galerkin finite element approximation of, 269 C, Vese Practice problems [1] Write the differential equation u + u = f(x, y), (x, y) Ω u = 1 (x, y) Ω 1 n + u = x (x, y) Ω 2, Ω = {(x, y) x 2 + y 2 < 1}, Ω 1 = {(x, y) x 2 + y 2 = 1, x 0}, Ω 2 = {(x,

More information

TD 1: Hilbert Spaces and Applications

TD 1: Hilbert Spaces and Applications Université Paris-Dauphine Functional Analysis and PDEs Master MMD-MA 2017/2018 Generalities TD 1: Hilbert Spaces and Applications Exercise 1 (Generalized Parallelogram law). Let (H,, ) be a Hilbert space.

More information

4.7 The Levi-Civita connection and parallel transport

4.7 The Levi-Civita connection and parallel transport Classnotes: Geometry & Control of Dynamical Systems, M. Kawski. April 21, 2009 138 4.7 The Levi-Civita connection and parallel transport In the earlier investigation, characterizing the shortest curves

More information

Hamburger Beiträge zur Angewandten Mathematik

Hamburger Beiträge zur Angewandten Mathematik Hamburger Beiträge zur Angewandten Mathematik Numerical analysis of a control and state constrained elliptic control problem with piecewise constant control approximations Klaus Deckelnick and Michael

More information

i=1 α i. Given an m-times continuously

i=1 α i. Given an m-times continuously 1 Fundamentals 1.1 Classification and characteristics Let Ω R d, d N, d 2, be an open set and α = (α 1,, α d ) T N d 0, N 0 := N {0}, a multiindex with α := d i=1 α i. Given an m-times continuously differentiable

More information

Obstacle Problems Involving The Fractional Laplacian

Obstacle Problems Involving The Fractional Laplacian Obstacle Problems Involving The Fractional Laplacian Donatella Danielli and Sandro Salsa January 27, 2017 1 Introduction Obstacle problems involving a fractional power of the Laplace operator appear in

More information

Traces, extensions and co-normal derivatives for elliptic systems on Lipschitz domains

Traces, extensions and co-normal derivatives for elliptic systems on Lipschitz domains Traces, extensions and co-normal derivatives for elliptic systems on Lipschitz domains Sergey E. Mikhailov Brunel University West London, Department of Mathematics, Uxbridge, UB8 3PH, UK J. Math. Analysis

More information

A proof for the full Fourier series on [ π, π] is given here.

A proof for the full Fourier series on [ π, π] is given here. niform convergence of Fourier series A smooth function on an interval [a, b] may be represented by a full, sine, or cosine Fourier series, and pointwise convergence can be achieved, except possibly at

More information

A generalised Ladyzhenskaya inequality and a coupled parabolic-elliptic problem

A generalised Ladyzhenskaya inequality and a coupled parabolic-elliptic problem A generalised Ladyzhenskaya inequality and a coupled parabolic-elliptic problem Dave McCormick joint work with James Robinson and José Rodrigo Mathematics and Statistics Centre for Doctoral Training University

More information

1 Directional Derivatives and Differentiability

1 Directional Derivatives and Differentiability Wednesday, January 18, 2012 1 Directional Derivatives and Differentiability Let E R N, let f : E R and let x 0 E. Given a direction v R N, let L be the line through x 0 in the direction v, that is, L :=

More information

Deviation Measures and Normals of Convex Bodies

Deviation Measures and Normals of Convex Bodies Beiträge zur Algebra und Geometrie Contributions to Algebra Geometry Volume 45 (2004), No. 1, 155-167. Deviation Measures Normals of Convex Bodies Dedicated to Professor August Florian on the occasion

More information

SINC PACK, and Separation of Variables

SINC PACK, and Separation of Variables SINC PACK, and Separation of Variables Frank Stenger Abstract This talk consists of a proof of part of Stenger s SINC-PACK computer package (an approx. 400-page tutorial + about 250 Matlab programs) that

More information

The Dirichlet s P rinciple. In this lecture we discuss an alternative formulation of the Dirichlet problem for the Laplace equation:

The Dirichlet s P rinciple. In this lecture we discuss an alternative formulation of the Dirichlet problem for the Laplace equation: Oct. 1 The Dirichlet s P rinciple In this lecture we discuss an alternative formulation of the Dirichlet problem for the Laplace equation: 1. Dirichlet s Principle. u = in, u = g on. ( 1 ) If we multiply

More information

2 A Model, Harmonic Map, Problem

2 A Model, Harmonic Map, Problem ELLIPTIC SYSTEMS JOHN E. HUTCHINSON Department of Mathematics School of Mathematical Sciences, A.N.U. 1 Introduction Elliptic equations model the behaviour of scalar quantities u, such as temperature or

More information

The De Giorgi-Nash-Moser Estimates

The De Giorgi-Nash-Moser Estimates The De Giorgi-Nash-Moser Estimates We are going to discuss the the equation Lu D i (a ij (x)d j u) = 0 in B 4 R n. (1) The a ij, with i, j {1,..., n}, are functions on the ball B 4. Here and in the following

More information

Some Background Material

Some Background Material Chapter 1 Some Background Material In the first chapter, we present a quick review of elementary - but important - material as a way of dipping our toes in the water. This chapter also introduces important

More information

ARCS IN FINITE PROJECTIVE SPACES. Basic objects and definitions

ARCS IN FINITE PROJECTIVE SPACES. Basic objects and definitions ARCS IN FINITE PROJECTIVE SPACES SIMEON BALL Abstract. These notes are an outline of a course on arcs given at the Finite Geometry Summer School, University of Sussex, June 26-30, 2017. Let K denote an

More information

at time t, in dimension d. The index i varies in a countable set I. We call configuration the family, denoted generically by Φ: U (x i (t) x j (t))

at time t, in dimension d. The index i varies in a countable set I. We call configuration the family, denoted generically by Φ: U (x i (t) x j (t)) Notations In this chapter we investigate infinite systems of interacting particles subject to Newtonian dynamics Each particle is characterized by its position an velocity x i t, v i t R d R d at time

More information

Robustness for a Liouville type theorem in exterior domains

Robustness for a Liouville type theorem in exterior domains Robustness for a Liouville type theorem in exterior domains Juliette Bouhours 1 arxiv:1207.0329v3 [math.ap] 24 Oct 2014 1 UPMC Univ Paris 06, UMR 7598, Laboratoire Jacques-Louis Lions, F-75005, Paris,

More information

Math The Laplacian. 1 Green s Identities, Fundamental Solution

Math The Laplacian. 1 Green s Identities, Fundamental Solution Math. 209 The Laplacian Green s Identities, Fundamental Solution Let be a bounded open set in R n, n 2, with smooth boundary. The fact that the boundary is smooth means that at each point x the external

More information

Theory of PDE Homework 2

Theory of PDE Homework 2 Theory of PDE Homework 2 Adrienne Sands April 18, 2017 In the following exercises we assume the coefficients of the various PDE are smooth and satisfy the uniform ellipticity condition. R n is always an

More information

Some Notes on Elliptic Regularity

Some Notes on Elliptic Regularity Some Notes on Elliptic Regularity Here we consider first the existence of weak solutions to elliptic problems of the form: { Lu = f, u = 0, (1) and then we consider the regularity of such solutions. The

More information

Lecture No 2 Degenerate Diffusion Free boundary problems

Lecture No 2 Degenerate Diffusion Free boundary problems Lecture No 2 Degenerate Diffusion Free boundary problems Columbia University IAS summer program June, 2009 Outline We will discuss non-linear parabolic equations of slow diffusion. Our model is the porous

More information

POINTWISE BOUNDS ON QUASIMODES OF SEMICLASSICAL SCHRÖDINGER OPERATORS IN DIMENSION TWO

POINTWISE BOUNDS ON QUASIMODES OF SEMICLASSICAL SCHRÖDINGER OPERATORS IN DIMENSION TWO POINTWISE BOUNDS ON QUASIMODES OF SEMICLASSICAL SCHRÖDINGER OPERATORS IN DIMENSION TWO HART F. SMITH AND MACIEJ ZWORSKI Abstract. We prove optimal pointwise bounds on quasimodes of semiclassical Schrödinger

More information

Problem: A class of dynamical systems characterized by a fast divergence of the orbits. A paradigmatic example: the Arnold cat.

Problem: A class of dynamical systems characterized by a fast divergence of the orbits. A paradigmatic example: the Arnold cat. À È Ê ÇÄÁ Ë ËÌ ÅË Problem: A class of dynamical systems characterized by a fast divergence of the orbits A paradigmatic example: the Arnold cat. The closure of a homoclinic orbit. The shadowing lemma.

More information

Green s Functions and Distributions

Green s Functions and Distributions CHAPTER 9 Green s Functions and Distributions 9.1. Boundary Value Problems We would like to study, and solve if possible, boundary value problems such as the following: (1.1) u = f in U u = g on U, where

More information

b i (µ, x, s) ei ϕ(x) µ s (dx) ds (2) i=1

b i (µ, x, s) ei ϕ(x) µ s (dx) ds (2) i=1 NONLINEAR EVOLTION EQATIONS FOR MEASRES ON INFINITE DIMENSIONAL SPACES V.I. Bogachev 1, G. Da Prato 2, M. Röckner 3, S.V. Shaposhnikov 1 The goal of this work is to prove the existence of a solution to

More information

The 2D Magnetohydrodynamic Equations with Partial Dissipation. Oklahoma State University

The 2D Magnetohydrodynamic Equations with Partial Dissipation. Oklahoma State University The 2D Magnetohydrodynamic Equations with Partial Dissipation Jiahong Wu Oklahoma State University IPAM Workshop Mathematical Analysis of Turbulence IPAM, UCLA, September 29-October 3, 2014 1 / 112 Outline

More information

Numerical Solutions to Partial Differential Equations

Numerical Solutions to Partial Differential Equations Numerical Solutions to Partial Differential Equations Zhiping Li LMAM and School of Mathematical Sciences Peking University Nonconformity and the Consistency Error First Strang Lemma Abstract Error Estimate

More information

On Smoothness of Suitable Weak Solutions to the Navier-Stokes Equations

On Smoothness of Suitable Weak Solutions to the Navier-Stokes Equations On Smoothness of Suitable Weak Solutions to the Navier-Stokes Equations G. Seregin, V. Šverák Dedicated to Vsevolod Alexeevich Solonnikov Abstract We prove two sufficient conditions for local regularity

More information

Metric Spaces and Topology

Metric Spaces and Topology Chapter 2 Metric Spaces and Topology From an engineering perspective, the most important way to construct a topology on a set is to define the topology in terms of a metric on the set. This approach underlies

More information

Solving the 3D Laplace Equation by Meshless Collocation via Harmonic Kernels

Solving the 3D Laplace Equation by Meshless Collocation via Harmonic Kernels Solving the 3D Laplace Equation by Meshless Collocation via Harmonic Kernels Y.C. Hon and R. Schaback April 9, Abstract This paper solves the Laplace equation u = on domains Ω R 3 by meshless collocation

More information

Pointwise estimates for Green s kernel of a mixed boundary value problem to the Stokes system in a polyhedral cone

Pointwise estimates for Green s kernel of a mixed boundary value problem to the Stokes system in a polyhedral cone Pointwise estimates for Green s kernel of a mixed boundary value problem to the Stokes system in a polyhedral cone by V. Maz ya 1 and J. Rossmann 1 University of Linköping, epartment of Mathematics, 58183

More information

Linear Algebra Massoud Malek

Linear Algebra Massoud Malek CSUEB Linear Algebra Massoud Malek Inner Product and Normed Space In all that follows, the n n identity matrix is denoted by I n, the n n zero matrix by Z n, and the zero vector by θ n An inner product

More information

USING FUNCTIONAL ANALYSIS AND SOBOLEV SPACES TO SOLVE POISSON S EQUATION

USING FUNCTIONAL ANALYSIS AND SOBOLEV SPACES TO SOLVE POISSON S EQUATION USING FUNCTIONAL ANALYSIS AND SOBOLEV SPACES TO SOLVE POISSON S EQUATION YI WANG Abstract. We study Banach and Hilbert spaces with an eye towards defining weak solutions to elliptic PDE. Using Lax-Milgram

More information

3 2 6 Solve the initial value problem u ( t) 3. a- If A has eigenvalues λ =, λ = 1 and corresponding eigenvectors 1

3 2 6 Solve the initial value problem u ( t) 3. a- If A has eigenvalues λ =, λ = 1 and corresponding eigenvectors 1 Math Problem a- If A has eigenvalues λ =, λ = 1 and corresponding eigenvectors 1 3 6 Solve the initial value problem u ( t) = Au( t) with u (0) =. 3 1 u 1 =, u 1 3 = b- True or false and why 1. if A is

More information

Oblique derivative problems for elliptic and parabolic equations, Lecture II

Oblique derivative problems for elliptic and parabolic equations, Lecture II of the for elliptic and parabolic equations, Lecture II Iowa State University July 22, 2011 of the 1 2 of the of the As a preliminary step in our further we now look at a special situation for elliptic.

More information

Piecewise Smooth Solutions to the Burgers-Hilbert Equation

Piecewise Smooth Solutions to the Burgers-Hilbert Equation Piecewise Smooth Solutions to the Burgers-Hilbert Equation Alberto Bressan and Tianyou Zhang Department of Mathematics, Penn State University, University Park, Pa 68, USA e-mails: bressan@mathpsuedu, zhang

More information

Math 61CM - Solutions to homework 6

Math 61CM - Solutions to homework 6 Math 61CM - Solutions to homework 6 Cédric De Groote November 5 th, 2018 Problem 1: (i) Give an example of a metric space X such that not all Cauchy sequences in X are convergent. (ii) Let X be a metric

More information

JUHA KINNUNEN. Harmonic Analysis

JUHA KINNUNEN. Harmonic Analysis JUHA KINNUNEN Harmonic Analysis Department of Mathematics and Systems Analysis, Aalto University 27 Contents Calderón-Zygmund decomposition. Dyadic subcubes of a cube.........................2 Dyadic cubes

More information

MAT 570 REAL ANALYSIS LECTURE NOTES. Contents. 1. Sets Functions Countability Axiom of choice Equivalence relations 9

MAT 570 REAL ANALYSIS LECTURE NOTES. Contents. 1. Sets Functions Countability Axiom of choice Equivalence relations 9 MAT 570 REAL ANALYSIS LECTURE NOTES PROFESSOR: JOHN QUIGG SEMESTER: FALL 204 Contents. Sets 2 2. Functions 5 3. Countability 7 4. Axiom of choice 8 5. Equivalence relations 9 6. Real numbers 9 7. Extended

More information

IMPROVED LEAST-SQUARES ERROR ESTIMATES FOR SCALAR HYPERBOLIC PROBLEMS, 1

IMPROVED LEAST-SQUARES ERROR ESTIMATES FOR SCALAR HYPERBOLIC PROBLEMS, 1 Computational Methods in Applied Mathematics Vol. 1, No. 1(2001) 1 8 c Institute of Mathematics IMPROVED LEAST-SQUARES ERROR ESTIMATES FOR SCALAR HYPERBOLIC PROBLEMS, 1 P.B. BOCHEV E-mail: bochev@uta.edu

More information

Minimization problems on the Hardy-Sobolev inequality

Minimization problems on the Hardy-Sobolev inequality manuscript No. (will be inserted by the editor) Minimization problems on the Hardy-Sobolev inequality Masato Hashizume Received: date / Accepted: date Abstract We study minimization problems on Hardy-Sobolev

More information

Partial Differential Equations 2 Variational Methods

Partial Differential Equations 2 Variational Methods Partial Differential Equations 2 Variational Methods Martin Brokate Contents 1 Variational Methods: Some Basics 1 2 Sobolev Spaces: Definition 9 3 Elliptic Boundary Value Problems 2 4 Boundary Conditions,

More information

A Brunn Minkowski theory for coconvex sets of finite volume

A Brunn Minkowski theory for coconvex sets of finite volume A Brunn Minkowski theory for coconvex sets of finite volume Rolf Schneider Abstract Let C be a closed convex cone in R n, pointed and with interior points. We consider sets of the form A = C \ K, where

More information

t y n (s) ds. t y(s) ds, x(t) = x(0) +

t y n (s) ds. t y(s) ds, x(t) = x(0) + 1 Appendix Definition (Closed Linear Operator) (1) The graph G(T ) of a linear operator T on the domain D(T ) X into Y is the set (x, T x) : x D(T )} in the product space X Y. Then T is closed if its graph

More information

A MIXED VARIATIONAL FRAMEWORK FOR THE RADIATIVE TRANSFER EQUATION

A MIXED VARIATIONAL FRAMEWORK FOR THE RADIATIVE TRANSFER EQUATION SpezialForschungsBereich F 32 Karl Franzens Universita t Graz Technische Universita t Graz Medizinische Universita t Graz A MIXED VARIATIONAL FRAMEWORK FOR THE RADIATIVE TRANSFER EQUATION H. Egger M. Schlottbom

More information

Differential equations, comprehensive exam topics and sample questions

Differential equations, comprehensive exam topics and sample questions Differential equations, comprehensive exam topics and sample questions Topics covered ODE s: Chapters -5, 7, from Elementary Differential Equations by Edwards and Penney, 6th edition.. Exact solutions

More information

GENERATORS WITH INTERIOR DEGENERACY ON SPACES OF L 2 TYPE

GENERATORS WITH INTERIOR DEGENERACY ON SPACES OF L 2 TYPE Electronic Journal of Differential Equations, Vol. 22 (22), No. 89, pp. 3. ISSN: 72-669. URL: http://ejde.math.txstate.edu or http://ejde.math.unt.edu ftp ejde.math.txstate.edu GENERATORS WITH INTERIOR

More information

LECTURE 15: COMPLETENESS AND CONVEXITY

LECTURE 15: COMPLETENESS AND CONVEXITY LECTURE 15: COMPLETENESS AND CONVEXITY 1. The Hopf-Rinow Theorem Recall that a Riemannian manifold (M, g) is called geodesically complete if the maximal defining interval of any geodesic is R. On the other

More information