Understanding Singularities in Free Boundary Problems

Total Page:16

File Type:pdf, Size:1020Kb

Understanding Singularities in Free Boundary Problems UNDERSTANDING SINGULARITIES IN FREE BOUNDARY PROBLEMS XAVIER ROS-OTON AND JOAQUIM SERRA Abstract. Free boundary problems are those described by PDEs that exhibit a priori unknown (free) interfaces or boundaries. The most classical example is the melting of ice to water (the Stefan problem). In this case, the free boundary is the liquid-solid interface between ice and water. A central mathematical challenge in this context is to understand the regularity and singularities of free boundaries. In this paper we provide a gentle introduction to this topic by presenting some classical results of Luis Caffarelli, as well as some important recent works due to Alessio Figalli and collaborators. Abstract. I problemi di frontiera libera sono quelli descritti da EDP che mostrano inter- facce o frontiere a priori sconosciuti (liberi). L'esempio pi`uclassico `elo scioglimento del ghiaccio in acqua (problema di Stefan). In questo caso, la frontiera libera `el'interfaccia solido-liquido tra acqua e ghiaccio. Una sfida matematica centrale in questo contesto `ecomprendere la regolarit`ae le singo- larit`adelle frontiere libere. In questo articolo introduciamo questo argomento presentando alcuni risultati classici di Luis Caffarelli, oltre ad alcuni importanti lavori recenti dovuti ad Alessio Figalli e collabo- ratori. 2010 Mathematics Subject Classification. 35R35. Key words and phrases. Free boundaries; obstacle problem. This paper will appear in a special issue of the journal `Matematica, Cultura e Societ`a' (published by the Unione Matematica Italiana) dedicated to the work of Alessio Figalli. 1 2 XAVIER ROS-OTON AND JOAQUIM SERRA 1. Introduction while in the complement θ is just zero. Determining where is the interphase or 1.1. The Stefan problem. free boundary that separates the two re- The Stefan problem, dating back to the gions (i.e., the surface @fθ > 0g) is part XIXth century, is the most classical and im- of the problem. For it, an extra equation portant free boundary problem. First consid- (or boundary condition) on the interface is ered by Lam´eand Clapeyron in 1831, aims needed. This is the so-called Stefan condi- to describe the temperature distribution in tion: a homogeneous medium undergoing a phase 2 change, typically a body of ice at zero de- @tθ = jrxθj on @fθ > 0g: (1.1) grees centigrade submerged in water. It is This extra relation comes from two consid- named after Josef Stefan, a Slovenian physi- erations. First, the normal velocity of the cist who introduced the general class of such interphase, V , is proportional to the amount problems around 1890; see [52, 53, 37]. of heat absorbed by it (which must be used The most classical formulation of the Ste- to melt the ice). In turn, this heat which 3 fan problem is as follows: Let Ω ⊂ R be \enters" the interphase is, by Fourier law, some some bounded domain. For concrete- proportional to the gradient of temperature. ness, we let us think that Ω is cylindric water Thus, we have jV j = Cjrθj . Second, since tank as depicted in Figure 1. We denote θ = 0 on the moving interphase we ob- θ = θ(x; t) tain that, on it, V and rθ are parallel and (@ + V · r)θ = 0. Combining the two pre- the temperature of the water at the point t vious formations and choosing the physical x 2 Ω at time t 2 + := [0; +1). We as- R units to make C = 1, we obtain the Stefan sume that θ ≥ 0 in Ω × +. Given are the R condition (1.1). (nonnegative) initial temperature and tem- One can also see that, by the \maximum perature at the boundary of the tank. principle", the ice fθ = 0g shrinks with time. In other words, if at some point of the tank there is liquid water for some given time then Ice that point will remain liquid at all future times. Water It can be shown that, after the transfor- mation Z t u(x; t) := θ(x; τ)dτ; 0 (see [2, 18]) the new function The Stefan problem. + + Figure 1. u :Ω × R ! R satisfies The set f(x; t) 2 Ω× + : θ(x; t) > 0g, de- R @ u − ∆u = −χ noted for brevity fθ > 0g, represents the wa- t fu>0g ter while its complement, denoted fθ = 0g, u ≥ 0 (1.2) represents the ice. The temperature θ satis- @tu ≥ 0; fies the heat equation where χA denotes the characteristic function @tθ − ∆θ = 0 in the region fθ > 0g; of the set A. UNDERSTANDING SINGULARITIES IN FREE BOUNDARY PROBLEMS 3 Since we can easily recover θ form u by obstacle problem (1.3), and the free bound- computing its time derivative, we see that ary corresponds to the interface between the (1.2) is an equivalent formulation of the Ste- wet and dry parts of the dam. fan problem. The new formulation is use- ful because it enjoys better mathematical properties (it has the structure of \varia- tional inequality") than the original formu- lation with θ. For instance, while from the original formulation with θ it is unclear how to show existence and uniqueness of solution (there was no rigurous proof for more than a Dam century!), it is much easier to do it with the Water equivalent formulation (1.2). The stationary version of (1.2) is the well- known obstacle problem: ∆u = χfu>0g (1.3) Figure 2. The Dam problem. u ≥ 0: It is among the most famous problems in el- liptic PDE, as it arises in a variety of situa- tions. 1.2. Motivations and applications. Both the Stefan problem and the obstacle • Hele-Shaw flow. This model, dating problem appear in many different models in back to 1898, describes a fluid flow between physics, industry, biology, or finance. We two flat parallel plates separated by a very next briefly comment on some of them, and thin gap. Various problems in fluid mechan- refer to the books [19, 34, 43, 27, 42] for more ics can be approximated to Hele-Shaw flows, details and further applications of obstacle- and that is why understanding these flows is type problems. important. • Phase transitions. In the classical Stefan A Hele-Shaw cell (see Figure 3) is an ex- problem, as explained in the previous sub- perimental device in which a viscous fluid section, the solution u of (1.2) is the integral is sandwiched in a narrow gap between two of the temperature of a solid undergoing a parallel plates. In certain regions, the gap phase transition, such as ice melting to wa- is filled with fluid while in others the gap is ter. filled with air. When liquid is injected inside • Fluid filtration. The so-called Dam the device though some sinks (e.g. though a problem aims to describe the filtration of small hole on the top plate) the region filled water inside a porous dam. One considers with liquid grows. In this context, an in- a porous dam separating two reservoirs of tegral of the pressure solves, for each fixed water at two different heights; see Figure 2. time t, the obstacle problem (1.3). Simi- Then, the interior of the dam has a wet part, larly as in the Dam problem, the free bound- where water flows, and a dry part. In this ary corresponds to the interface between the context, an integral of the pressure solves the fluid and the air regions. 4 XAVIER ROS-OTON AND JOAQUIM SERRA In some some models the particles attract Air each other when they are far, but experience a repulsive force when they are close [14]. In Injection other related models in statistical mechan- Fluid point ics, the particles (e.g. electrons) repel with a Coulomb force and one wants to understand their behaviour in presence of some external field that confines them [48]. Figure 3. A Helle-Shaw cell. In the previous models, a natural and in- teresting question is to determine the \equi- librium configurations”. For instance, in Coulomb systems the charges accumulate in • Optimal stopping, finance. In proba- some region with a well definite boundary; bility and finance, both the Stefan problem see Figure 4. Interestingly, this problems (1.2) and the obstacle problem (1.3) appear are equivalent to obstacle problems of the when considering optimal stopping problems type (1.3) | for instance the electric poten- for stochastic processes. tial u = u(x) generated by the charges solves A typical example is the Black-Scholes a problem like (1.3) and free boundary cor- model for pricing of American options. An responds to the boundary of the region in American option is a contract that entitles which the particles concentrate. its owner to buy some financial asset (typi- cally a share of some company) at some spec- ified price (the\strike price") at any time before some specified date (the \maturity date"). This option has some value, since External field in case that the always fluctuating market price of the asset goes higher than the strike price then the option can be \exercised" to Charges buy the asset at the lower price. The Black-Sholes model aims to calculate the rational price u = u(x; t) of an option at any time t prior to the maturity date and de- pending on the price x 2 R+ of the financial Figure 4. The equilibrium asset. Since the option can be exercised at configuration for a Coulomb any time before maturity, determining the system. \exercise region", i.e. the pairs (x; t) for which it is better to exercise the option, is a part of the problem. Interestingly, this prob- lem leads to an Stefan problem of the type (1.2), and the free boundary corresponds to • Elasticity.
Recommended publications
  • Elliptic Pdes
    viii CHAPTER 4 Elliptic PDEs One of the main advantages of extending the class of solutions of a PDE from classical solutions with continuous derivatives to weak solutions with weak deriva- tives is that it is easier to prove the existence of weak solutions. Having estab- lished the existence of weak solutions, one may then study their properties, such as uniqueness and regularity, and perhaps prove under appropriate assumptions that the weak solutions are, in fact, classical solutions. There is often considerable freedom in how one defines a weak solution of a PDE; for example, the function space to which a solution is required to belong is not given a priori by the PDE itself. Typically, we look for a weak formulation that reduces to the classical formulation under appropriate smoothness assumptions and which is amenable to a mathematical analysis; the notion of solution and the spaces to which solutions belong are dictated by the available estimates and analysis. 4.1. Weak formulation of the Dirichlet problem Let us consider the Dirichlet problem for the Laplacian with homogeneous boundary conditions on a bounded domain Ω in Rn, (4.1) −∆u = f in Ω, (4.2) u =0 on ∂Ω. First, suppose that the boundary of Ω is smooth and u,f : Ω → R are smooth functions. Multiplying (4.1) by a test function φ, integrating the result over Ω, and using the divergence theorem, we get ∞ (4.3) Du · Dφ dx = fφ dx for all φ ∈ Cc (Ω). ZΩ ZΩ The boundary terms vanish because φ = 0 on the boundary.
    [Show full text]
  • Elliptic Pdes
    CHAPTER 4 Elliptic PDEs One of the main advantages of extending the class of solutions of a PDE from classical solutions with continuous derivatives to weak solutions with weak deriva- tives is that it is easier to prove the existence of weak solutions. Having estab- lished the existence of weak solutions, one may then study their properties, such as uniqueness and regularity, and perhaps prove under appropriate assumptions that the weak solutions are, in fact, classical solutions. There is often considerable freedom in how one defines a weak solution of a PDE; for example, the function space to which a solution is required to belong is not given a priori by the PDE itself. Typically, we look for a weak formulation that reduces to the classical formulation under appropriate smoothness assumptions and which is amenable to a mathematical analysis; the notion of solution and the spaces to which solutions belong are dictated by the available estimates and analysis. 4.1. Weak formulation of the Dirichlet problem Let us consider the Dirichlet problem for the Laplacian with homogeneous boundary conditions on a bounded domain Ω in Rn, (4.1) −∆u = f in Ω; (4.2) u = 0 on @Ω: First, suppose that the boundary of Ω is smooth and u; f : Ω ! R are smooth functions. Multiplying (4.1) by a test function φ, integrating the result over Ω, and using the divergence theorem, we get Z Z 1 (4.3) Du · Dφ dx = fφ dx for all φ 2 Cc (Ω): Ω Ω The boundary terms vanish because φ = 0 on the boundary.
    [Show full text]
  • Advanced Partial Differential Equations Prof. Dr. Thomas
    Advanced Partial Differential Equations Prof. Dr. Thomas Sørensen summer term 2015 Marcel Schaub July 2, 2015 1 Contents 0 Recall PDE 1 & Motivation 3 0.1 Recall PDE 1 . .3 1 Weak derivatives and Sobolev spaces 7 1.1 Sobolev spaces . .8 1.2 Approximation by smooth functions . 11 1.3 Extension of Sobolev functions . 13 1.4 Traces . 15 1.5 Sobolev inequalities . 17 2 Linear 2nd order elliptic PDE 25 2.1 Linear 2nd order elliptic partial differential operators . 25 2.2 Weak solutions . 26 2.3 Existence via Lax-Milgram . 28 2.4 Inhomogeneous bounday value problems . 35 2.5 The space H−1(U) ................................ 36 2.6 Regularity of weak solutions . 39 A Tutorials 58 A.1 Tutorial 1: Review of Integration . 58 A.2 Tutorial 2 . 59 A.3 Tutorial 3: Norms . 61 A.4 Tutorial 4 . 62 A.5 Tutorial 6 (Sheet 7) . 65 A.6 Tutorial 7 . 65 A.7 Tutorial 9 . 67 A.8 Tutorium 11 . 67 B Solutions of the problem sheets 70 B.1 Solution to Sheet 1 . 70 B.2 Solution to Sheet 2 . 71 B.3 Solution to Problem Sheet 3 . 73 B.4 Solution to Problem Sheet 4 . 76 B.5 Solution to Exercise Sheet 5 . 77 B.6 Solution to Exercise Sheet 7 . 81 B.7 Solution to problem sheet 8 . 84 B.8 Solution to Exercise Sheet 9 . 87 2 0 Recall PDE 1 & Motivation 0.1 Recall PDE 1 We mainly studied linear 2nd order equations – specifically, elliptic, parabolic and hyper- bolic equations. Concretely: • The Laplace equation ∆u = 0 (elliptic) • The Poisson equation −∆u = f (elliptic) • The Heat equation ut − ∆u = 0, ut − ∆u = f (parabolic) • The Wave equation utt − ∆u = 0, utt − ∆u = f (hyperbolic) We studied (“main motivation; goal”) well-posedness (à la Hadamard) 1.
    [Show full text]
  • Delta Functions and Distributions
    When functions have no value(s): Delta functions and distributions Steven G. Johnson, MIT course 18.303 notes Created October 2010, updated March 8, 2017. Abstract x = 0. That is, one would like the function δ(x) = 0 for all x 6= 0, but with R δ(x)dx = 1 for any in- These notes give a brief introduction to the mo- tegration region that includes x = 0; this concept tivations, concepts, and properties of distributions, is called a “Dirac delta function” or simply a “delta which generalize the notion of functions f(x) to al- function.” δ(x) is usually the simplest right-hand- low derivatives of discontinuities, “delta” functions, side for which to solve differential equations, yielding and other nice things. This generalization is in- a Green’s function. It is also the simplest way to creasingly important the more you work with linear consider physical effects that are concentrated within PDEs, as we do in 18.303. For example, Green’s func- very small volumes or times, for which you don’t ac- tions are extremely cumbersome if one does not al- tually want to worry about the microscopic details low delta functions. Moreover, solving PDEs with in this volume—for example, think of the concepts of functions that are not classically differentiable is of a “point charge,” a “point mass,” a force plucking a great practical importance (e.g. a plucked string with string at “one point,” a “kick” that “suddenly” imparts a triangle shape is not twice differentiable, making some momentum to an object, and so on.
    [Show full text]
  • Generalized Solutions, Sobolev Spaces (2017)
    AMATH 731: Applied Functional Analysis Fall 2017 Generalized solutions, Sobolev spaces (To accompany Section 4.6 of the AMATH 731 Course Notes) Introduction As a simple motivating example, consider the following inhomogeneous DE of the form Lu = f, (Lu)(x)= u′′(x)+ g(x)u(x)= f(x). (1) In the usual introductory courses of ODEs, f(x) is assumed sufficiently “nice,” i.e., at least continuous, so that u′′(x) is continuous, implying that u(x) is twice differentiable. At worst, f(x) could be piecewise continuous, which still does not represent a problem. One may then resort to a number of “classical” techniques to solve for u(x), or at least approximations to it (e.g., Fourier series, power series). But what if f(x) is not so “nice”? What if f(x) is discontinuous or, at best, integrable? Classical methods will break down here. One could, however, still try to use Fourier series (assuming that the Fourier expansion of f(x) exists). But the question remains: In what space does the solution u(x) live? What does it mean to say that u′(x) or u′′(x) is a function in L2? This is a fundamental problem in the study of partial differential equations (PDEs). Only a small class of partial differential equations, e.g., Laplace’s equation, can be solved in the classical sense. Many others, if not most, cannot. One must resort to other methods to construct “less smooth” solutions. An example of such a method is that of generalized or weak solutions. Sobolev spaces represent the completion of the appropriate classical function spaces in order to accomodate such solutions.
    [Show full text]
  • Weak Solutions of Nonlinear Evolution Equations of Sobolev-Galpern Type
    View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector JOURNAL OFDIFFERENTIAL EQUATIONS 11, 252-265 (1972) Weak Solutions of Nonlinear Evolution Equations of Sobolev-Galpern Type R. E. SHOWALTER Department of Mathematics, University of Texas, Austin, Texas 78712 Received April 30, 1970 1. INTRODUCTION Consider the abstract evolution equation which may arise from a partial differential equation of order 2m + 1 in which W(t)) and WN are families of linear elliptic operators of order 2m and F contains derivatives of order \cm. The objective here is to formulate a Cauchy problem for (1 .l) and to prove the existence and uniqueness of a solution by Hilbert space methods. Weak and strong solutions of (1.1) are specified in Section 2 where the uniqueness of a weak solution is established. A resolving operator is constructed in Section 3; this operator provides the weak solution of the homogeneous form of (1.1) and suggests the concept of a mild solution, essentially an integrated form of (1.1). The existence of a mild and weak solution of the nonlinear Cauchy problem is established in Section 4. No explicit requirements on the domains of the unbounded operators in (1 .l) are necessary, and the dependence of these operators on the time-parameter is essentially a measurability assumption. The abstract problem we consider here arises as a realization of various partial differential equations from problems in mathematical physics [2, 5, 14, 25, 26, 271. Following [17], we say that a partial differential equation is of Sobolev-Galpern type if the highest order terms contain derivatives in both space and time coordinates.
    [Show full text]
  • Free Boundary Problems of Obstacle Type, a Numerical and Theoretical Study
    UPPSALA DISSERTATIONS IN MATHEMATICS 79 Free Boundary Problems of Obstacle Type, a Numerical and Theoretical Study Mahmoudreza Bazarganzadeh Department of Mathematics Uppsala University UPPSALA 2012 Dissertation presented at Uppsala University to be publicly examined in Å80127, Ångström Laboratory, Lägerhyddsvägen 1, Uppsala, Friday, December 14, 2012 at 13:00 for the degree of Doctor of Philosophy. The examination will be conducted in English. Abstract Bazarganzadeh, M. 2012. Free Boundary Problems of Obstacle Type, a Numerical and Theoretical Study. Department of Mathematics. Uppsala Dissertations in Mathematics 79. 67 pp. Uppsala. ISBN 978-91-506-2316-1. This thesis consists of five papers and it mainly addresses the theory and numerical schemes to approximate the quadrature domains, QDs. The first paper deals with the uniqueness and some qualitative properties of the two phase QDs. In the second paper, we present two numerical schemes to approach the one phase QDs. The first scheme is based on the properties of the given free boundary and the level set method. We use shape optimization analysis to construct the second method. We illustrate the efficiency of the schemes on a variety of numerical simulations. We design two numerical schemes based on the finite difference discretization to approximate the multi phase QDs, in the third paper. We prove that the second method enjoys monotonicity, consistency and stability and consequently it is a convergent scheme by Barles- Souganidis theorem. We also show the efficiency of the schemes through numerical experiments. In the fourth paper, we introduce a special class of QDs in a sub-domain of Rn and study the existence and the uniqueness along with an application of the problem.
    [Show full text]
  • Sobolev Spaces with Application to Second-Order Elliptic Pde
    SOBOLEV SPACES WITH APPLICATION TO SECOND-ORDER ELLIPTIC PDE WESTON UNGEMACH Abstract. This paper will motivate and define the Sobolev Space W k;p(Ω) and then examine this space from a functional analytic perspective. This the- ory will then be applied to second-order elliptic partial differential equations, concluding with a proof of the First Existence Theorem for solutions to this class of PDE. Contents 1. Introduction and Motivation 1 2. Initial Definitions and Theory 2 3. Functional Analytic Properties of W k;p(Ω) 4 4. Application to Second-Order Elliptic Partial Differential Equations 13 Acknowledgments 17 References 17 1. Introduction and Motivation When solving partial differential equations, most analysts are not interested in `messy' solutions. That is, a solution formed by piecing together solutions which have discontinous derivatives for small time windows is not exactly optimal. Rather, a more useful solution is one which has some nicer topological and analytic prop- erties, such as continuity, infinite differentiblity, continuous derivatives, etc. These nicer solutions often exist and can be quite easy to find, but require that we loosen the conditions for one function to be the derivative of another. The theory of Sobolev Spaces is based on this sort of redefinition of differentibility. Specifically, Sobolev Spaces give what are called weak solutions to differential equations - and do so because they are based on the notion of the weak derivative. We will see that by moving away from the classical, or strong, derivative we will be able to prove some quite powerful theorems about the existence of solutions to uniformly ellip- tic equations.
    [Show full text]
  • Partial Differential Equations (Week 6+7) Elliptic Regularity and Weak Solutions
    Partial Differential Equations (Week 6+7) Elliptic Regularity and Weak Solutions Gustav Holzegel March 16, 2019 1 Elliptic Regularity We will now entertain the following questions. Say u is C2 and satisfies ∆u = f (1) in Ω. How regular is u depending on f? What is the minimum regularity on f so that we can actually find a C2 solution of (1)? What about weak solutions? Our formula (??) is already suggestive as far as the relation of the regularity of f and the regularity of u is concerned. Let's take for simplicity the case of the ball for which we found a nice Green's function for the Dirichlet problem: Z u (ξ) = G (x; ξ) f (x) dx (2) Ω Now since the Green's function is symmetric in x and ξ what is suggested by (2) is that we can gain (almost) two derivatives (explain!).1 We will now try to quantify this regularity gain but not at the level of the Hoelder spaces Ck,α (which would be an option leading to Schauder regularity theory) but at the level of the Sobolev spaces Hk. k 1 Recall that H (Ω) is defined as the space of Lloc (Ω) functions, which have k weak derivatives and for which Z 2 X α 2 kukHk(Ω) = jD uj dx < 1 : (3) jα|≤k Ω We also define the homogeneous Sobolev \semi"-norm Z 2 X α 2 kukH_ k(Ω) = jD uj dx ; (4) jαj=k Ω 1There are counter examples of solutions of ∆u = f with with f continuous but u not C2.
    [Show full text]
  • Partial Differential Equations
    PARTIAL DIFFERENTIAL EQUATIONS Math 124A { Fall 2010 «Viktor Grigoryan [email protected] Department of Mathematics University of California, Santa Barbara These lecture notes arose from the course \Partial Differential Equations" { Math 124A taught by the author in the Department of Mathematics at UCSB in the fall quarters of 2009 and 2010. The selection of topics and the order in which they are introduced is based on [Str]. Most of the problems appearing in this text are also borrowed from Strauss. A list of other references that were consulted while teaching this course appears in the bibliography at the end. These notes are copylefted, and may be freely used for noncommercial educational purposes. I will appreciate any and all feedback directed to the e-mail address listed above. The most up-to date version of these notes can be downloaded from the URL given below. Version 0.1 - December 2010 http://www.math.ucsb.edu/~grigoryan/124A.pdf Contents 1 Introduction 1 1.1 Classification of PDEs . 1 1.2 Examples . 2 1.3 Conclusion . 3 Problem Set 1 4 2 First-order linear equations 5 2.1 The method of characteristics . 6 2.2 General constant coefficient equations . 7 2.3 Variable coefficient equations . 8 2.4 Conclusion . 10 3 Method of characteristics revisited 11 3.1 Transport equation . 11 3.2 Quasilinear equations . 12 3.3 Rarefaction . 13 3.4 Shock waves . 14 3.5 Conclusion . 14 Problem Set 2 15 4 Vibrations and heat flow 16 4.1 Vibrating string . 16 4.2 Vibrating drumhead . 17 4.3 Heat flow .
    [Show full text]
  • A Brief Introduction to Weak Solutions
    Appendix A A Brief Introduction to Weak Solutions A.1 Weak Derivative and Sobolev Spaces Let be a bounded and open subset of <n.LetD./ be the vector space of 1 C ./-functions having a compact support S' contained in : ˚ « 1 D./ D ' 2 C ./; S' : If f 2 C 1./, then it is always possible to write Z Z Z @f @ @' 'dD .f '/ d f d: (A.1) i i i @x @x @x If the first integral on the right-hand side is transformed into an integral over the boundary @ by Gauss’s theorem and the hypothesis ' 2 D./, then the previous identity becomes Z Z @f @' 'dD f d: (A.2) i i @x @x Conversely, if for any f 2 C 1./ a function 2 C 0./ exists such that Z Z @' ' d D f d 8' 2 D./; (A.3) i @x then, subtracting (A.2) and (A.3), we have the condition Z Â Ã @f 'dD 0 8' 2 D./; (A.4) i @x © Springer Science+Business Media New York 2014 463 A. Romano, A. Marasco, Continuum Mechanics using MathematicaR , Modeling and Simulation in Science, Engineering and Technology, DOI 10.1007/978-1-4939-1604-7 464 A A Brief Introduction to Weak Solutions which in turn implies that D @f = @ x i , owing to the continuity of both of these functions. All the previous considerations lead us to introduce the following definition. Definition A.1. Any f 2 L2./ is said to have a weak or generalized derivative if a function 2 L2./ exists satisfying the condition (A.3).
    [Show full text]
  • Weak Shape Formulation of Free Boundary Problems Annali Della Scuola Normale Superiore Di Pisa, Classe Di Scienze 4E Série, Tome 21, No 1 (1994), P
    ANNALI DELLA SCUOLA NORMALE SUPERIORE DI PISA Classe di Scienze JEAN-PAUL ZOLÉSIO Weak shape formulation of free boundary problems Annali della Scuola Normale Superiore di Pisa, Classe di Scienze 4e série, tome 21, no 1 (1994), p. 11-44 <http://www.numdam.org/item?id=ASNSP_1994_4_21_1_11_0> © Scuola Normale Superiore, Pisa, 1994, tous droits réservés. L’accès aux archives de la revue « Annali della Scuola Normale Superiore di Pisa, Classe di Scienze » (http://www.sns.it/it/edizioni/riviste/annaliscienze/) implique l’accord avec les conditions générales d’utilisation (http://www.numdam.org/conditions). Toute utilisa- tion commerciale ou impression systématique est constitutive d’une infraction pénale. Toute copie ou impression de ce fichier doit contenir la présente mention de copyright. Article numérisé dans le cadre du programme Numérisation de documents anciens mathématiques http://www.numdam.org/ Weak Shape Formulation of Free Boundary Problems JEAN-PAUL ZOLÉSIO Contents Introduction 1. Free interface with continuity condition 1.1 Variational inequality 1.2 The weak shape formulation 2. Bernoulli condition associated to homogeneous Dirichlet condition 3. Shape existence of weak solutions 3.1 Dirichlet problem without constraint 3.2 Dirichlet problem with constraint on the measure of the domain 3.3 The situation when f is given in 4. Shape weak existence with bounded perimeter sets. Dirichlet condition 5. Shape weak existence with bounded perimeter sets. Neumann condition 5.1 Min Min formulation 5.2 Max Inf formulation 6. Free interface with transmission conditions 7. First order necessary conditions 7.1 The flow mapping Tt of a speed vector field 11 7.2 Free boundary conditions in weak form 7.3 Weak condition at SZ having a curvature ~ 7.4 Optimality condition when Q is a smooth open set 8.
    [Show full text]