Stationary states for the aggregation equation with power law attractive-repulsive potentials

Size: px
Start display at page:

Download "Stationary states for the aggregation equation with power law attractive-repulsive potentials"

Transcription

1 Stationary states for the aggregation equation with power law attractive-repulsive potentials Daniel Balagué Joint work with J.A. Carrillo, T. Laurent and G. Raoul Universitat Autònoma de Barcelona BIRS - Multi-particle systems with non-local interactions January Banff, Canada

2 Introduction We consider the problem given by ρ t = div[ρv] in R N [0, T ] v = W ρ ρ(0) = ρ 0 0. Daniel Balagué Guardia Stationary states for the aggregation equation 2/23

3 Introduction We consider the problem given by ρ t = div[ρv] in R N [0, T ] v = W ρ ρ(0) = ρ 0 0. Here ρ(x, t) is a density of particles located at position x at time t and W is a given interaction potential. Daniel Balagué Guardia Stationary states for the aggregation equation 2/23

4 What do we know about the solutions? Existence and uniqueness of weak solutions for the aggregation equation in P 2 (R N ) L p (R N ), for ρ 0 L p and W W 1,q. Daniel Balagué Guardia Stationary states for the aggregation equation 3/23

5 What do we know about the solutions? Existence and uniqueness of weak solutions for the aggregation equation in P 2 (R N ) L p (R N ), for ρ 0 L p and W W 1,q. Global existence when W is bounded from above. Daniel Balagué Guardia Stationary states for the aggregation equation 3/23

6 What do we know about the solutions? Existence and uniqueness of weak solutions for the aggregation equation in P 2 (R N ) L p (R N ), for ρ 0 L p and W W 1,q. Global existence when W is bounded from above. Weak measure solutions to the the Cauchy problem for the aggregation equation. Daniel Balagué Guardia Stationary states for the aggregation equation 3/23

7 What do we know about the solutions? Existence and uniqueness of weak solutions for the aggregation equation in P 2 (R N ) L p (R N ), for ρ 0 L p and W W 1,q. Global existence when W is bounded from above. Weak measure solutions to the the Cauchy problem for the aggregation equation. The problem is global-in-time well-posed in L p (R N ) under Osgood conditions, and there is blow-up of the L p -norm when this condition is violated. Daniel Balagué Guardia Stationary states for the aggregation equation 3/23

8 Assumptions We will suppose that: the potential W is attractive-repulsive, radially symetric and smooth away from the origin, Daniel Balagué Guardia Stationary states for the aggregation equation 4/23

9 Assumptions We will suppose that: the potential W is attractive-repulsive, radially symetric and smooth away from the origin, if µ is a radially symmetric measure then ˆµ P([0, + )) is defined by r2 d ˆµ(r) = dµ(x). r 1 r 1 < x <r 2 Daniel Balagué Guardia Stationary states for the aggregation equation 4/23

10 Assumptions We will suppose that: the potential W is attractive-repulsive, radially symetric and smooth away from the origin, if µ is a radially symmetric measure then ˆµ P([0, + )) is defined by r2 d ˆµ(r) = dµ(x). r 1 r 1 < x <r 2 Definition (Spherical shell) A delta on a sphere of radius R ( spherical shell, δ B(0,R) ), denoted it by δ R, is a uniform distribution on a sphere B(0, R) = {x R N : x = R}. Daniel Balagué Guardia Stationary states for the aggregation equation 4/23

11 Understanding the velocity The velocity field at a point x generated by a δ R is given by: v = W δ R (x) Daniel Balagué Guardia Stationary states for the aggregation equation 5/23

12 Understanding the velocity The velocity field at a point x generated by a δ R is given by: v = W δ R (x) and, by symmetry, exists a function ω(r 1, r 2 ) such that v = W δ R (x) = ω( x, R) x x. Daniel Balagué Guardia Stationary states for the aggregation equation 5/23

13 Understanding the velocity The velocity field at a point x generated by a δ R is given by: v = W δ R (x) and, by symmetry, exists a function ω(r 1, r 2 ) such that v = W δ R (x) = ω( x, R) x x. Remark Then µ can be written as a sum of δ R, 0 δ r d ˆµ(r). And, v = ( W µ)(x) = 0 ω( x, r)d ˆµ(r) x x. Daniel Balagué Guardia Stationary states for the aggregation equation 5/23

14 The problem in radial coordinates In radially symmetric coordinates, the equation reads: ˆv(r, t) = t ˆµ + r (ˆµˆv) = 0, + 0 ω(r, η)d ˆµ t (η). Daniel Balagué Guardia Stationary states for the aggregation equation 6/23

15 The problem in radial coordinates In radially symmetric coordinates, the equation reads: ˆv(r, t) = The function ω is defined by ω(r, η) = 1 σ N t ˆµ + r (ˆµˆv) = 0, + 0 B(0,1) ω(r, η)d ˆµ t (η). W (re 1 ηy) e 1 dσ(y), where σ N is the surface area of the unit ball in R N and e 1 is the first vector of the canonical basis of R N. Daniel Balagué Guardia Stationary states for the aggregation equation 6/23

16 Stationary states Definition A probability measure µ P(R N ) is a stationary state for the aggregation equation if ( W µ)(x) = 0 for all x supp(µ). Daniel Balagué Guardia Stationary states for the aggregation equation 7/23

17 Stationary states Definition A probability measure µ P(R N ) is a stationary state for the aggregation equation if ( W µ)(x) = 0 for all x supp(µ). According to the given interpretation of the velocity field, a δ R is a stationary state for the aggregation equation if and only if ω(r, R) = 0. Daniel Balagué Guardia Stationary states for the aggregation equation 7/23

18 Energetic point of view The aggregation equation is a gradient flow 1 of the following energy functional E[µ] = 1 W (x y)dµ(x)dµ(y) 2 R N R N w.r.t. the euclidean Wasserstein distance { } d2 2 (ν, ρ) = inf x y 2 dπ(x, y), π Π(ν,ρ) R N R N where Π(ν, ρ) stands for the set of joint distributions with marginals ν i ρ. 1 Ambrosio, L. A.; Gigli, N.; Savaré, G. Gradient flows in metric spaces and in the space of probability measures. Lectures in Mathematics, Birkhäuser, Daniel Balagué Guardia Stationary states for the aggregation equation 8/23

19 Then, the stationary states asymptotically stable are local minimizers of the energy. Let us see the conditions for a δ R Proposition Suppose ω C 1 and let δ R be a stationary state, ω(r, R) = 0. then, (i) If 1 ω(r, R) > 0 exists dr 0 > 0 such that, given 0 < dr < dr 0, for ɛ small enough. E[(1 ɛ)δ R + ɛδ R+dr ] < E[δ R ], (ii) If 1 ω(r, R) + 2 (R, R) > 0 exists dr 0 > 0 such that for all 0 < dr < dr 0. E[δ R+dr0 ] < E[δ R ], Daniel Balagué Guardia Stationary states for the aggregation equation 9/23

20 Instability conditions Theorem Suppose that δ R is a stationary state, ω(r, R) = 0, and that one of the following cases is satisfied: (i) ω C 1 (R 2 +) and 1 ω(r, R) > 0. (ii) ω C(R 2 +) C 1 (R 2 + \ D) and lim 1 ω(r 1, r 2 ) = +. (r 1,r 2 ) D (r 1,r 2 ) (R,R) Conclusion: It is not possible for an L p radially symmetric solution to converge toward a δ R when t. Daniel Balagué Guardia Stationary states for the aggregation equation 10/23

21 Idea for the instability One first observes that ω( x, R) (divv)(x) = W δ R (x) = 1 ω( x, R) + (N 1). r 1 Daniel Balagué Guardia Stationary states for the aggregation equation 11/23

22 Idea for the instability One first observes that ω( x, R) (divv)(x) = W δ R (x) = 1 ω( x, R) + (N 1). r 1 Then we can reformulate the theorem with the condition (divv)(x) = ( W δ R )(x) > 0 for all x B(0, R). Daniel Balagué Guardia Stationary states for the aggregation equation 11/23

23 Idea for the instability One first observes that ω( x, R) (divv)(x) = W δ R (x) = 1 ω( x, R) + (N 1). r 1 Then we can reformulate the theorem with the condition (divv)(x) = ( W δ R )(x) > 0 for all x B(0, R). R δ R R + δ Daniel Balagué Guardia Stationary states for the aggregation equation 11/23

24 Conditions for the stability For the stability we suppose that ω C 1 and that δ R is an stationary state. Moreover, suppose that (i) 1 ω(r, R) < 0, (ii) 1 ω(r, R) + 2 ω(r, R) < 0. Daniel Balagué Guardia Stationary states for the aggregation equation 12/23

25 Conditions for the stability For the stability we suppose that ω C 1 and that δ R is an stationary state. Moreover, suppose that (i) 1 ω(r, R) < 0, (ii) 1 ω(r, R) + 2 ω(r, R) < 0. The interpretation is similar... R δ R R + δ Daniel Balagué Guardia Stationary states for the aggregation equation 12/23

26 Instability: non-radial case Consider an steady state µ of the form f (x) dµ(x) = f (x)φ(x) dσ(x), f C(R N ), R N M where M is a C 2 hypersurface and dσ is the volume element on M. Proposition Suppose that one of the two conditions holds: (i) W is locally integrable on hypersurfaces, φ L (M) and (div v(x) := ( W µ)(x) > 0 x supp(µ), (ii) W is not locally integrable on hypersurfaces and φ(x) > φ 0 > 0 for all x M. Conclusion: it is not possible for an L p solution to converge to µ w.r.t. the d -topology. Daniel Balagué Guardia Stationary states for the aggregation equation 13/23

27 An example with powers Consider now power law potentials: W (x) = x a a x b b 2 N < b < a Daniel Balagué Guardia Stationary states for the aggregation equation 14/23

28 An example with powers Consider now power law potentials: Some properties: W (x) = x a a x b b 2 N < b < a The condition b < a ensures that the potential is repulsive in the short range and attractive in the long range. Daniel Balagué Guardia Stationary states for the aggregation equation 14/23

29 An example with powers Consider now power law potentials: Some properties: W (x) = x a a x b b 2 N < b < a The condition b < a ensures that the potential is repulsive in the short range and attractive in the long range. The condition 2 N < b ensures that the potential is in W 1,q loc (RN ) for some 1 < q <. Daniel Balagué Guardia Stationary states for the aggregation equation 14/23

30 δ R in the power law case For the case of powers one has a formula for the function ω(r, η): ω(r, η) = r b 1 ψ b (η/r) r a 1 ψ a (η/r), Daniel Balagué Guardia Stationary states for the aggregation equation 15/23

31 δ R in the power law case For the case of powers one has a formula for the function ω(r, η): where ω(r, η) = r b 1 ψ b (η/r) r a 1 ψ a (η/r), ψ a (s) = σ N 1 σ N π 0 (1 s cos θ)(sin θ) N 2 dθ. (1 + s 2 2s cos θ) 2 a 2 Daniel Balagué Guardia Stationary states for the aggregation equation 15/23

32 δ R in the power law case For the case of powers one has a formula for the function ω(r, η): where ω(r, η) = r b 1 ψ b (η/r) r a 1 ψ a (η/r), ψ a (s) = σ N 1 σ N π 0 (1 s cos θ)(sin θ) N 2 dθ. (1 + s 2 2s cos θ) 2 a 2 Then, a δ R is a stationary state for the aggregation equation if and only if ( ) 1 ψb (1) a b ω(r, R) = 0, R = R ab =. ψ a (1) Daniel Balagué Guardia Stationary states for the aggregation equation 15/23

33 Value of R? In the power law case, the radius R can be computed explicitly: R = R ab = 1 2 ( β( b+n 1 2, N 1 2 ) β( a+n 1 2, N 1 2 ) ) 1 a b Daniel Balagué Guardia Stationary states for the aggregation equation 16/23

34 In/stability for powers Suppose that W (x) = x a a state. x b b and consider a δ Rab an stationary Daniel Balagué Guardia Stationary states for the aggregation equation 17/23

35 In/stability for powers Suppose that W (x) = x a a state. x b b and consider a δ Rab an stationary (i) If 2 N < b 3 N then ω C(R 2 +) C 1 (R 2 + \ D) and for all (R, R) D lim 1 ω(r 1, r 2 ) = +. (r 1,r 2 ) D (r 1,r 2 ) (R,R) Daniel Balagué Guardia Stationary states for the aggregation equation 17/23

36 In/stability for powers Suppose that W (x) = x a a state. x b b and consider a δ Rab an stationary (i) If 2 N < b 3 N then ω C(R 2 +) C 1 (R 2 + \ D) and for all (R, R) D (ii) If b lim 1 ω(r 1, r 2 ) = +. (r 1,r 2 ) D (r 1,r 2 ) (R,R) ) (3 N, (3 N)a 10+7N N2 a+n 3 then ω C 1 and 1 ω(r ab, R ab ) > 0. Daniel Balagué Guardia Stationary states for the aggregation equation 17/23

37 In/stability for powers Suppose that W (x) = x a a state. x b b and consider a δ Rab an stationary (i) If 2 N < b 3 N then ω C(R 2 +) C 1 (R 2 + \ D) and for all (R, R) D (ii) If b (iii) If b lim 1 ω(r 1, r 2 ) = +. (r 1,r 2 ) D (r 1,r 2 ) (R,R) ) (3 N, (3 N)a 10+7N N2 a+n 3 then ω C 1 and ( (3 N)a 10+7N N 2 a+n 3 1 ω(r ab, R ab ) > 0. ), a then ω C 1 and 1 ω(r ab, R ab ) < 0 i 1 ω(r ab, R ab ) + 2 ω(r ab, R ab ) < 0. Daniel Balagué Guardia Stationary states for the aggregation equation 17/23

38 Idea of the proof (i) (i) Case 2 N < b 3 N. One has ω C 1 ((R + R + )\D) and ω r (r, η) = r b 2[ ] (b 1)ψ b (η/r) (η/r)ψ b (η/r) r a 2[ ] (a 1)ψ a (η/r) (η/r)ψ a(η/r) in (R +, R + )\D. Daniel Balagué Guardia Stationary states for the aggregation equation 18/23

39 Idea of the proof (i) (i) Case 2 N < b 3 N. One has ω C 1 ((R + R + )\D) and ω r (r, η) = r b 2[ ] (b 1)ψ b (η/r) (η/r)ψ b (η/r) r a 2[ ] (a 1)ψ a (η/r) (η/r)ψ a(η/r) in (R +, R + )\D. Calculating the limit, lim (r,η) (R,R) (r,η)/ D ω (r, η) = +. r Daniel Balagué Guardia Stationary states for the aggregation equation 18/23

40 Idea of the proof (ii) (ii) Case 3 N < b < (3 N)a 10+7N N2 a+n 3. In this case, ω C 1 (R + R + ). Daniel Balagué Guardia Stationary states for the aggregation equation 19/23

41 Idea of the proof (ii) (ii) Case 3 N < b < (3 N)a 10+7N N2 a+n 3. In this case, ω C 1 (R + R + ). Condition ω r (R ab, R ab ) > 0 a ψ a(1) ψ a (1) < b ψ b (1) ψ b (1) Daniel Balagué Guardia Stationary states for the aggregation equation 19/23

42 Idea of the proof (iii) A change of variable in the expression of ψ a (1) shows that ψ a (1) = ω ( N 1 a + N 1 2 a+n 3 β, N 1 ), ω N 2 2 Daniel Balagué Guardia Stationary states for the aggregation equation 20/23

43 Idea of the proof (iii) A change of variable in the expression of ψ a (1) shows that ψ a (1) = ω ( N 1 a + N 1 2 a+n 3 β, N 1 ), ω N 2 2 and for ψ a(1) ψ a(1) = ω ( N 1 (a 2)(a + N 2) a + N 3 2 N+a 4 β, N + 1 ). ω N N Daniel Balagué Guardia Stationary states for the aggregation equation 20/23

44 Idea of the proof (iii) A change of variable in the expression of ψ a (1) shows that ψ a (1) = ω ( N 1 a + N 1 2 a+n 3 β, N 1 ), ω N 2 2 and for ψ a(1) ψ a(1) = ω ( N 1 (a 2)(a + N 2) a + N 3 2 N+a 4 β, N + 1 ). ω N N Then the quotient ψ a (1) ψ a(1) becomes ψ a(1) ψ a (1) = 1 2 (a 2)(a + N 2). a + N 3 Daniel Balagué Guardia Stationary states for the aggregation equation 20/23

45 Some pictures for the velocity field ω(r, R ab ), N = 2 a=4, b=2, Rab= a=2, b=1, Rab= Daniel Balagué Guardia Stationary states for the aggregation equation 21/23

46 Summary b = (3 N)a 10+7N N 2 a+n b = a N 3 N Daniel Balagué Guardia Stationary states for the aggregation equation 22/23

47 Thank you for your attention. Daniel Balagué Guardia Stationary states for the aggregation equation 23/23

arxiv: v1 [math.ap] 25 Oct 2012

arxiv: v1 [math.ap] 25 Oct 2012 DIMENSIONALITY OF LOCAL MINIMIZERS OF THE INTERACTION ENERGY D. BALAGUÉ 1, J. A. CARRILLO 2, T. LAURENT 3, AND G. RAOUL 4 arxiv:1210.6795v1 [math.ap] 25 Oct 2012 Abstract. In this work we consider local

More information

SEPARABILITY AND COMPLETENESS FOR THE WASSERSTEIN DISTANCE

SEPARABILITY AND COMPLETENESS FOR THE WASSERSTEIN DISTANCE SEPARABILITY AND COMPLETENESS FOR THE WASSERSTEIN DISTANCE FRANÇOIS BOLLEY Abstract. In this note we prove in an elementary way that the Wasserstein distances, which play a basic role in optimal transportation

More information

About the method of characteristics

About the method of characteristics About the method of characteristics Francis Nier, IRMAR, Univ. Rennes 1 and INRIA project-team MICMAC. Joint work with Z. Ammari about bosonic mean-field dynamics June 3, 2013 Outline The problem An example

More information

Regularity of local minimizers of the interaction energy via obstacle problems

Regularity of local minimizers of the interaction energy via obstacle problems Regularity of local minimizers of the interaction energy via obstacle problems J. A. Carrillo, M. G. Delgadino, A. Mellet September 22, 2014 Abstract The repulsion strength at the origin for repulsive/attractive

More information

Gradient Flows: Qualitative Properties & Numerical Schemes

Gradient Flows: Qualitative Properties & Numerical Schemes Gradient Flows: Qualitative Properties & Numerical Schemes J. A. Carrillo Imperial College London RICAM, December 2014 Outline 1 Gradient Flows Models Gradient flows Evolving diffeomorphisms 2 Numerical

More information

A regularised particle method for linear and nonlinear diffusion

A regularised particle method for linear and nonlinear diffusion 1/25 A regularised particle method for linear and nonlinear diffusion Francesco Patacchini Department of Mathematical Sciences, Carnegie Mellon University Joint work with J. A. Carrillo (Imperial College

More information

Asymptotics of generalized eigenfunctions on manifold with Euclidean and/or hyperbolic ends

Asymptotics of generalized eigenfunctions on manifold with Euclidean and/or hyperbolic ends Asymptotics of generalized eigenfunctions on manifold with Euclidean and/or hyperbolic ends Kenichi ITO (University of Tokyo) joint work with Erik SKIBSTED (Aarhus University) 3 July 2018 Example: Free

More information

Geometric inequalities for black holes

Geometric inequalities for black holes Geometric inequalities for black holes Sergio Dain FaMAF-Universidad Nacional de Córdoba, CONICET, Argentina. 3 August, 2012 Einstein equations (vacuum) The spacetime is a four dimensional manifold M with

More information

Threshold solutions and sharp transitions for nonautonomous parabolic equations on R N

Threshold solutions and sharp transitions for nonautonomous parabolic equations on R N Threshold solutions and sharp transitions for nonautonomous parabolic equations on R N P. Poláčik School of Mathematics, University of Minnesota Minneapolis, MN 55455 Abstract This paper is devoted to

More information

Lecture 7: The wave equation: higher dimensional case

Lecture 7: The wave equation: higher dimensional case Lecture 7: The wave equation: higher dimensional case Some auxiliary facts The co area formula. Let be a bounded domain and be a function of class. Denote by : the level set of. Let be any integrable function.

More information

Sharp energy estimates and 1D symmetry for nonlinear equations involving fractional Laplacians

Sharp energy estimates and 1D symmetry for nonlinear equations involving fractional Laplacians Sharp energy estimates and 1D symmetry for nonlinear equations involving fractional Laplacians Eleonora Cinti Università degli Studi di Bologna - Universitat Politécnica de Catalunya (joint work with Xavier

More information

A Variational Analysis of a Gauged Nonlinear Schrödinger Equation

A Variational Analysis of a Gauged Nonlinear Schrödinger Equation A Variational Analysis of a Gauged Nonlinear Schrödinger Equation Alessio Pomponio, joint work with David Ruiz Dipartimento di Meccanica, Matematica e Management, Politecnico di Bari Variational and Topological

More information

GRADIENT FLOWS FOR NON-SMOOTH INTERACTION POTENTIALS

GRADIENT FLOWS FOR NON-SMOOTH INTERACTION POTENTIALS GRADIENT FLOWS FOR NON-SMOOTH INTERACTION POTENTIALS J. A. CARRILLO, S. LISINI, E. MAININI Abstract. We deal with a nonlocal interaction equation describing the evolution of a particle density under the

More information

6.3 Fundamental solutions in d

6.3 Fundamental solutions in d 6.3. Fundamental solutions in d 5 6.3 Fundamental solutions in d Since Lapalce equation is invariant under translations, and rotations (see Exercise 6.4), we look for solutions to Laplace equation having

More information

THE L 2 -HODGE THEORY AND REPRESENTATION ON R n

THE L 2 -HODGE THEORY AND REPRESENTATION ON R n THE L 2 -HODGE THEORY AND REPRESENTATION ON R n BAISHENG YAN Abstract. We present an elementary L 2 -Hodge theory on whole R n based on the minimization principle of the calculus of variations and some

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

Preconditioning techniques in frame theory and probabilistic frames

Preconditioning techniques in frame theory and probabilistic frames Preconditioning techniques in frame theory and probabilistic frames Department of Mathematics & Norbert Wiener Center University of Maryland, College Park AMS Short Course on Finite Frame Theory: A Complete

More information

MEAN CURVATURE FLOW OF ENTIRE GRAPHS EVOLVING AWAY FROM THE HEAT FLOW

MEAN CURVATURE FLOW OF ENTIRE GRAPHS EVOLVING AWAY FROM THE HEAT FLOW MEAN CURVATURE FLOW OF ENTIRE GRAPHS EVOLVING AWAY FROM THE HEAT FLOW GREGORY DRUGAN AND XUAN HIEN NGUYEN Abstract. We present two initial graphs over the entire R n, n 2 for which the mean curvature flow

More information

On Schrödinger equations with inverse-square singular potentials

On Schrödinger equations with inverse-square singular potentials On Schrödinger equations with inverse-square singular potentials Veronica Felli Dipartimento di Statistica University of Milano Bicocca veronica.felli@unimib.it joint work with Elsa M. Marchini and Susanna

More information

MATH COURSE NOTES - CLASS MEETING # Introduction to PDEs, Fall 2011 Professor: Jared Speck

MATH COURSE NOTES - CLASS MEETING # Introduction to PDEs, Fall 2011 Professor: Jared Speck MATH 8.52 COURSE NOTES - CLASS MEETING # 6 8.52 Introduction to PDEs, Fall 20 Professor: Jared Speck Class Meeting # 6: Laplace s and Poisson s Equations We will now study the Laplace and Poisson equations

More information

MATH COURSE NOTES - CLASS MEETING # Introduction to PDEs, Spring 2018 Professor: Jared Speck

MATH COURSE NOTES - CLASS MEETING # Introduction to PDEs, Spring 2018 Professor: Jared Speck MATH 8.52 COURSE NOTES - CLASS MEETING # 6 8.52 Introduction to PDEs, Spring 208 Professor: Jared Speck Class Meeting # 6: Laplace s and Poisson s Equations We will now study the Laplace and Poisson equations

More information

Kerr black hole and rotating wormhole

Kerr black hole and rotating wormhole Kerr Fest (Christchurch, August 26-28, 2004) Kerr black hole and rotating wormhole Sung-Won Kim(Ewha Womans Univ.) August 27, 2004 INTRODUCTION STATIC WORMHOLE ROTATING WORMHOLE KERR METRIC SUMMARY AND

More information

Cones of measures. Tatiana Toro. University of Washington. Quantitative and Computational Aspects of Metric Geometry

Cones of measures. Tatiana Toro. University of Washington. Quantitative and Computational Aspects of Metric Geometry Cones of measures Tatiana Toro University of Washington Quantitative and Computational Aspects of Metric Geometry Based on joint work with C. Kenig and D. Preiss Tatiana Toro (University of Washington)

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

ROBERT SIMIONE, DEJAN SLEPČEV, AND IHSAN TOPALOGLU

ROBERT SIMIONE, DEJAN SLEPČEV, AND IHSAN TOPALOGLU EXISTENCE OF MINIMIZERS OF NONLOCAL INTERACTION ENERGIES ROBERT SIMIONE, DEJAN SLEPČEV, AND IHSAN TOPALOGLU Abstract. We investigate nonlocal-interaction energies on the space of probability measures.

More information

Local semiconvexity of Kantorovich potentials on non-compact manifolds

Local semiconvexity of Kantorovich potentials on non-compact manifolds Local semiconvexity of Kantorovich potentials on non-compact manifolds Alessio Figalli, Nicola Gigli Abstract We prove that any Kantorovich potential for the cost function c = d / on a Riemannian manifold

More information

CONGESTED AGGREGATION VIA NEWTONIAN INTERACTION

CONGESTED AGGREGATION VIA NEWTONIAN INTERACTION CONGESTED AGGREGATION VIA NEWTONIAN INTERACTION KATY CRAIG, INWON KIM, AND YAO YAO Abstract. We consider a congested aggregation model that describes the evolution of a density through the competing effects

More information

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

The purpose of this lecture is to present a few applications of conformal mappings in problems which arise in physics and engineering.

The purpose of this lecture is to present a few applications of conformal mappings in problems which arise in physics and engineering. Lecture 16 Applications of Conformal Mapping MATH-GA 451.001 Complex Variables The purpose of this lecture is to present a few applications of conformal mappings in problems which arise in physics and

More information

Asymptotic Behavior of Fragmentation-drift Equations with Variable Drift Rates

Asymptotic Behavior of Fragmentation-drift Equations with Variable Drift Rates Asymptotic Behavior of Fragmentation-drift Equations with Variable Drift Rates Daniel Balagué joint work with José A. Cañizo and Pierre GABRIEL (in preparation) Universitat Autònoma de Barcelona SIAM Conference

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

Generalized pointwise Hölder spaces

Generalized pointwise Hölder spaces Generalized pointwise Hölder spaces D. Kreit & S. Nicolay Nord-Pas de Calais/Belgium congress of Mathematics October 28 31 2013 The idea A function f L loc (Rd ) belongs to Λ s (x 0 ) if there exists a

More information

Lecture 1: Main Models & Basics of Wasserstein Distance

Lecture 1: Main Models & Basics of Wasserstein Distance Lecture 1: Main Models & Basics of Wasserstein Distance J. A. Carrillo ICREA - Universitat Autònoma de Barcelona Methods and Models of Kinetic Theory Outline 1 Presentation of models Nonlinear diffusions

More information

Branched transport limit of the Ginzburg-Landau functional

Branched transport limit of the Ginzburg-Landau functional Branched transport limit of the Ginzburg-Landau functional Michael Goldman CNRS, LJLL, Paris 7 Joint work with S. Conti, F. Otto and S. Serfaty Introduction Superconductivity was first observed by Onnes

More information

Information geometry for bivariate distribution control

Information geometry for bivariate distribution control Information geometry for bivariate distribution control C.T.J.Dodson + Hong Wang Mathematics + Control Systems Centre, University of Manchester Institute of Science and Technology Optimal control of stochastic

More information

AN ELEMENTARY PROOF OF THE TRIANGLE INEQUALITY FOR THE WASSERSTEIN METRIC

AN ELEMENTARY PROOF OF THE TRIANGLE INEQUALITY FOR THE WASSERSTEIN METRIC PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 136, Number 1, January 2008, Pages 333 339 S 0002-9939(07)09020- Article electronically published on September 27, 2007 AN ELEMENTARY PROOF OF THE

More information

Free energy estimates for the two-dimensional Keller-Segel model

Free energy estimates for the two-dimensional Keller-Segel model Free energy estimates for the two-dimensional Keller-Segel model dolbeaul@ceremade.dauphine.fr CEREMADE CNRS & Université Paris-Dauphine in collaboration with A. Blanchet (CERMICS, ENPC & Ceremade) & B.

More information

Magnetostatics III Magnetic Vector Potential (Griffiths Chapter 5: Section 4)

Magnetostatics III Magnetic Vector Potential (Griffiths Chapter 5: Section 4) Dr. Alain Brizard Electromagnetic Theory I PY ) Magnetostatics III Magnetic Vector Potential Griffiths Chapter 5: Section ) Vector Potential The magnetic field B was written previously as Br) = Ar), 1)

More information

Comparison Results for Semilinear Elliptic Equations in Equimeasurable Domains

Comparison Results for Semilinear Elliptic Equations in Equimeasurable Domains Comparison Results for Semilinear Elliptic Equations in Equimeasurable Domains François HAMEL Aix-Marseille University & Institut Universitaire de France In collaboration with Emmanuel RUSS Workshop on

More information

THE GREEN FUNCTION. Contents

THE GREEN FUNCTION. Contents THE GREEN FUNCTION CRISTIAN E. GUTIÉRREZ NOVEMBER 5, 203 Contents. Third Green s formula 2. The Green function 2.. Estimates of the Green function near the pole 2 2.2. Symmetry of the Green function 3

More information

Duality of multiparameter Hardy spaces H p on spaces of homogeneous type

Duality of multiparameter Hardy spaces H p on spaces of homogeneous type Duality of multiparameter Hardy spaces H p on spaces of homogeneous type Yongsheng Han, Ji Li, and Guozhen Lu Department of Mathematics Vanderbilt University Nashville, TN Internet Analysis Seminar 2012

More information

Lecture No 1 Introduction to Diffusion equations The heat equat

Lecture No 1 Introduction to Diffusion equations The heat equat Lecture No 1 Introduction to Diffusion equations The heat equation Columbia University IAS summer program June, 2009 Outline of the lectures We will discuss some basic models of diffusion equations and

More information

ON A MEASURE THEORETIC AREA FORMULA

ON A MEASURE THEORETIC AREA FORMULA ON A MEASURE THEORETIC AREA FORMULA VALENTINO MAGNANI Abstract. We review some classical differentiation theorems for measures, showing how they can be turned into an integral representation of a Borel

More information

Schwarzschild s Metrical Model of a Liquid Sphere

Schwarzschild s Metrical Model of a Liquid Sphere Schwarzschild s Metrical Model of a Liquid Sphere N.S. Baaklini nsbqft@aol.com Abstract We study Schwarzschild s metrical model of an incompressible (liquid) sphere of constant density and note the tremendous

More information

A. Iosevich and I. Laba January 9, Introduction

A. Iosevich and I. Laba January 9, Introduction K-DISTANCE SETS, FALCONER CONJECTURE, AND DISCRETE ANALOGS A. Iosevich and I. Laba January 9, 004 Abstract. In this paper we prove a series of results on the size of distance sets corresponding to sets

More information

Blowup dynamics of an unstable thin-film equation

Blowup dynamics of an unstable thin-film equation Blowup dynamics of an unstable thin-film equation IMA Summer Program Geometrical Singularities and Singular Geometries July 15, 2008. (IMA, July 15, 2008.) 1 / 12 Thin-film equations (TFE) u t = (u n u

More information

Microlocal Methods in X-ray Tomography

Microlocal Methods in X-ray Tomography Microlocal Methods in X-ray Tomography Plamen Stefanov Purdue University Lecture I: Euclidean X-ray tomography Mini Course, Fields Institute, 2012 Plamen Stefanov (Purdue University ) Microlocal Methods

More information

SMOOTHING AND NON-SMOOTHING VIA A FLOW TANGENT TO THE RICCI FLOW

SMOOTHING AND NON-SMOOTHING VIA A FLOW TANGENT TO THE RICCI FLOW SMOOTHING AND NON-SMOOTHING VIA A FLOW TANGENT TO THE RICCI FLOW MATTHIAS ERBAR AND NICOLAS JUILLET Abstract. We study a transformation of metric measure spaces introduced by Gigli and Mantegazza consisting

More information

A Eulerian approach to the analysis of rendez-vous algorithms

A Eulerian approach to the analysis of rendez-vous algorithms A Eulerian approach to the analysis of rendez-vous algorithms Claudio Canuto, Fabio Fagnani, Paolo Tilli Dipartimento di Matematica, Politecnico di Torino, Corso D. Abruzzi, 4, 9 Torino, Italy Abstract:

More information

Asymptotic Behavior of Marginally Trapped Tubes

Asymptotic Behavior of Marginally Trapped Tubes Asymptotic Behavior of Marginally Trapped Tubes Catherine Williams January 29, 2009 Preliminaries general relativity General relativity says that spacetime is described by a Lorentzian 4-manifold (M, g)

More information

arxiv: v1 [math.ap] 30 Jul 2015

arxiv: v1 [math.ap] 30 Jul 2015 Counterexamples in multimarginal optimal transport with Coulomb cost and spherically symmetric data Maria Colombo Federico Stra July, 05 arxiv:507.085v [math.ap] 0 Jul 05 Abstract We disprove a conjecture

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

1 First and second variational formulas for area

1 First and second variational formulas for area 1 First and second variational formulas for area In this chapter, we will derive the first and second variational formulas for the area of a submanifold. This will be useful in our later discussion on

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

SOLUTION OF THE DIRICHLET PROBLEM WITH A VARIATIONAL METHOD. 1. Dirichlet integral

SOLUTION OF THE DIRICHLET PROBLEM WITH A VARIATIONAL METHOD. 1. Dirichlet integral SOLUTION OF THE DIRICHLET PROBLEM WITH A VARIATIONAL METHOD CRISTIAN E. GUTIÉRREZ FEBRUARY 3, 29. Dirichlet integral Let f C( ) with open and bounded. Let H = {u C ( ) : u = f on } and D(u) = Du(x) 2 dx.

More information

In this chapter we study elliptical PDEs. That is, PDEs of the form. 2 u = lots,

In this chapter we study elliptical PDEs. That is, PDEs of the form. 2 u = lots, Chapter 8 Elliptic PDEs In this chapter we study elliptical PDEs. That is, PDEs of the form 2 u = lots, where lots means lower-order terms (u x, u y,..., u, f). Here are some ways to think about the physical

More information

EXAMPLE OF A FIRST ORDER DISPLACEMENT CONVEX FUNCTIONAL

EXAMPLE OF A FIRST ORDER DISPLACEMENT CONVEX FUNCTIONAL EXAMPLE OF A FIRST ORDER DISPLACEMENT CONVEX FUNCTIONAL JOSÉ A. CARRILLO AND DEJAN SLEPČEV Abstract. We present a family of first-order functionals which are displacement convex, that is convex along the

More information

Exercise Set 4. D s n ds + + V. s dv = V. After using Stokes theorem, the surface integral becomes

Exercise Set 4. D s n ds + + V. s dv = V. After using Stokes theorem, the surface integral becomes Exercise Set Exercise - (a) Let s consider a test volum in the pellet. The substract enters the pellet by diffusion and some is created and disappears due to the chemical reaction. The two contribute to

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

Lagrangian discretization of incompressibility, congestion and linear diffusion

Lagrangian discretization of incompressibility, congestion and linear diffusion Lagrangian discretization of incompressibility, congestion and linear diffusion Quentin Mérigot Joint works with (1) Thomas Gallouët (2) Filippo Santambrogio Federico Stra (3) Hugo Leclerc Seminaire du

More information

Übungen zu RT2 SS (4) Show that (any) contraction of a (p, q) - tensor results in a (p 1, q 1) - tensor.

Übungen zu RT2 SS (4) Show that (any) contraction of a (p, q) - tensor results in a (p 1, q 1) - tensor. Übungen zu RT2 SS 2010 (1) Show that the tensor field g µν (x) = η µν is invariant under Poincaré transformations, i.e. x µ x µ = L µ νx ν + c µ, where L µ ν is a constant matrix subject to L µ ρl ν ση

More information

Introduction to Empirical Processes and Semiparametric Inference Lecture 08: Stochastic Convergence

Introduction to Empirical Processes and Semiparametric Inference Lecture 08: Stochastic Convergence Introduction to Empirical Processes and Semiparametric Inference Lecture 08: Stochastic Convergence Michael R. Kosorok, Ph.D. Professor and Chair of Biostatistics Professor of Statistics and Operations

More information

SOLUTION OF POISSON S EQUATION. Contents

SOLUTION OF POISSON S EQUATION. Contents SOLUTION OF POISSON S EQUATION CRISTIAN E. GUTIÉRREZ OCTOBER 5, 2013 Contents 1. Differentiation under the integral sign 1 2. The Newtonian potential is C 1 2 3. The Newtonian potential from the 3rd Green

More information

Approximating scalable frames

Approximating scalable frames Kasso Okoudjou joint with X. Chen, G. Kutyniok, F. Philipp, R. Wang Department of Mathematics & Norbert Wiener Center University of Maryland, College Park 5 th International Conference on Computational

More information

Sufficient conditions on Liouville type theorems for the 3D steady Navier-Stokes equations

Sufficient conditions on Liouville type theorems for the 3D steady Navier-Stokes equations arxiv:1805.07v1 [math.ap] 6 May 018 Sufficient conditions on Liouville type theorems for the D steady Navier-Stokes euations G. Seregin, W. Wang May 8, 018 Abstract Our aim is to prove Liouville type theorems

More information

MINIMAL SURFACES AND MINIMIZERS OF THE GINZBURG-LANDAU ENERGY

MINIMAL SURFACES AND MINIMIZERS OF THE GINZBURG-LANDAU ENERGY MINIMAL SURFACES AND MINIMIZERS OF THE GINZBURG-LANDAU ENERGY O. SAVIN 1. Introduction In this expository article we describe various properties in parallel for minimal surfaces and minimizers of the Ginzburg-Landau

More information

OPTIMAL TRANSPORTATION PLANS AND CONVERGENCE IN DISTRIBUTION

OPTIMAL TRANSPORTATION PLANS AND CONVERGENCE IN DISTRIBUTION OPTIMAL TRANSPORTATION PLANS AND CONVERGENCE IN DISTRIBUTION J.A. Cuesta-Albertos 1, C. Matrán 2 and A. Tuero-Díaz 1 1 Departamento de Matemáticas, Estadística y Computación. Universidad de Cantabria.

More information

APPLICATIONS OF DIFFERENTIABILITY IN R n.

APPLICATIONS OF DIFFERENTIABILITY IN R n. APPLICATIONS OF DIFFERENTIABILITY IN R n. MATANIA BEN-ARTZI April 2015 Functions here are defined on a subset T R n and take values in R m, where m can be smaller, equal or greater than n. The (open) ball

More information

A Blob Method for the Aggregation Equation

A Blob Method for the Aggregation Equation A Blob Method for the Aggregation Equation Katy Craig University of California, Los Angeles joint with Andrea Bertozzi Univeristy of California, Santa Barbara October 10, 2014 1 / 36 Plan aggregation equation

More information

9 Radon-Nikodym theorem and conditioning

9 Radon-Nikodym theorem and conditioning Tel Aviv University, 2015 Functions of real variables 93 9 Radon-Nikodym theorem and conditioning 9a Borel-Kolmogorov paradox............. 93 9b Radon-Nikodym theorem.............. 94 9c Conditioning.....................

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

Consistency of Modularity Clustering on Random Geometric Graphs

Consistency of Modularity Clustering on Random Geometric Graphs Consistency of Modularity Clustering on Random Geometric Graphs Erik Davis The University of Arizona May 10, 2016 Outline Introduction to Modularity Clustering Pointwise Convergence Convergence of Optimal

More information

Deforming conformal metrics with negative Bakry-Émery Ricci Tensor on manifolds with boundary

Deforming conformal metrics with negative Bakry-Émery Ricci Tensor on manifolds with boundary Deforming conformal metrics with negative Bakry-Émery Ricci Tensor on manifolds with boundary Weimin Sheng (Joint with Li-Xia Yuan) Zhejiang University IMS, NUS, 8-12 Dec 2014 1 / 50 Outline 1 Prescribing

More information

Subharmonic functions

Subharmonic functions Subharmonic functions N.A. 07 Upper semicontinuous functions. Let (X, d) be a metric space. A function f : X R { } is upper semicontinuous (u.s.c.) if lim inf f(y) f(x) x X. y x A function g is lower semicontinuous

More information

7 The cigar soliton, the Rosenau solution, and moving frame calculations

7 The cigar soliton, the Rosenau solution, and moving frame calculations 7 The cigar soliton, the Rosenau solution, and moving frame calculations When making local calculations of the connection and curvature, one has the choice of either using local coordinates or moving frames.

More information

Geometry of Ricci Solitons

Geometry of Ricci Solitons Geometry of Ricci Solitons H.-D. Cao, Lehigh University LMU, Munich November 25, 2008 1 Ricci Solitons A complete Riemannian (M n, g ij ) is a Ricci soliton if there exists a smooth function f on M such

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

Week 2 Notes, Math 865, Tanveer

Week 2 Notes, Math 865, Tanveer Week 2 Notes, Math 865, Tanveer 1. Incompressible constant density equations in different forms Recall we derived the Navier-Stokes equation for incompressible constant density, i.e. homogeneous flows:

More information

Existence and Regularity of Stable Branched Minimal Hypersurfaces

Existence and Regularity of Stable Branched Minimal Hypersurfaces Pure and Applied Mathematics Quarterly Volume 3, Number 2 (Special Issue: In honor of Leon Simon, Part 1 of 2 ) 569 594, 2007 Existence and Regularity of Stable Branched Minimal Hypersurfaces Neshan Wickramasekera

More information

A local time scaling exponent for compact metric spaces

A local time scaling exponent for compact metric spaces A local time scaling exponent for compact metric spaces John Dever School of Mathematics Georgia Institute of Technology Fractals 6 @ Cornell, June 15, 2017 Dever (GaTech) Exit time exponent Fractals 6

More information

Localizing solutions of the Einstein equations

Localizing solutions of the Einstein equations Localizing solutions of the Einstein equations Richard Schoen UC, Irvine and Stanford University - General Relativity: A Celebration of the 100th Anniversary, IHP - November 20, 2015 Plan of Lecture The

More information

2.5 Stokes flow past a sphere

2.5 Stokes flow past a sphere Lecture Notes on Fluid Dynamics.63J/.J) by Chiang C. Mei, MIT 007 Spring -5Stokes.tex.5 Stokes flow past a sphere Refs] Lamb: Hydrodynamics Acheson : Elementary Fluid Dynamics, p. 3 ff One of the fundamental

More information

Alignment processes on the sphere

Alignment processes on the sphere Alignment processes on the sphere Amic Frouvelle CEREMADE Université Paris Dauphine Joint works with : Pierre Degond (Imperial College London) and Gaël Raoul (École Polytechnique) Jian-Guo Liu (Duke University)

More information

Elastic Scattering. R = m 1r 1 + m 2 r 2 m 1 + m 2. is the center of mass which is known to move with a constant velocity (see previous lectures):

Elastic Scattering. R = m 1r 1 + m 2 r 2 m 1 + m 2. is the center of mass which is known to move with a constant velocity (see previous lectures): Elastic Scattering In this section we will consider a problem of scattering of two particles obeying Newtonian mechanics. The problem of scattering can be viewed as a truncated version of dynamic problem

More information

Gaussian Random Fields: Geometric Properties and Extremes

Gaussian Random Fields: Geometric Properties and Extremes Gaussian Random Fields: Geometric Properties and Extremes Yimin Xiao Michigan State University Outline Lecture 1: Gaussian random fields and their regularity Lecture 2: Hausdorff dimension results and

More information

A description of transport cost for signed measures

A description of transport cost for signed measures A description of transport cost for signed measures Edoardo Mainini Abstract In this paper we develop the analysis of [AMS] about the extension of the optimal transport framework to the space of real measures.

More information

Minimal Surface equations non-solvability strongly convex functional further regularity Consider minimal surface equation.

Minimal Surface equations non-solvability strongly convex functional further regularity Consider minimal surface equation. Lecture 7 Minimal Surface equations non-solvability strongly convex functional further regularity Consider minimal surface equation div + u = ϕ on ) = 0 in The solution is a critical point or the minimizer

More information

We have the following immediate corollary. 1

We have the following immediate corollary. 1 1. Thom Spaces and Transversality Definition 1.1. Let π : E B be a real k vector bundle with a Euclidean metric and let E 1 be the set of elements of norm 1. The Thom space T (E) of E is the quotient E/E

More information

Allen Cahn Equation in Two Spatial Dimension

Allen Cahn Equation in Two Spatial Dimension Allen Cahn Equation in Two Spatial Dimension Yoichiro Mori April 25, 216 Consider the Allen Cahn equation in two spatial dimension: ɛ u = ɛ2 u + fu) 1) where ɛ > is a small parameter and fu) is of cubic

More information

ASYMPTOTIC ANALYSIS FOR FOURTH ORDER PANEITZ EQUATIONS WITH CRITICAL GROWTH

ASYMPTOTIC ANALYSIS FOR FOURTH ORDER PANEITZ EQUATIONS WITH CRITICAL GROWTH ASYPTOTIC ANALYSIS FOR FOURTH ORDER PANEITZ EQUATIONS WITH CRITICAL GROWTH EANUEL HEBEY AND FRÉDÉRIC ROBERT Abstract. We investigate fourth order Paneitz equations of critical growth in the case of n-dimensional

More information

Uniqueness of the solution to the Vlasov-Poisson system with bounded density

Uniqueness of the solution to the Vlasov-Poisson system with bounded density Uniqueness of the solution to the Vlasov-Poisson system with bounded density Grégoire Loeper December 16, 2005 Abstract In this note, we show uniqueness of weak solutions to the Vlasov- Poisson system

More information

Unbounded operators on Hilbert spaces

Unbounded operators on Hilbert spaces Chapter 1 Unbounded operators on Hilbert spaces Definition 1.1. Let H 1, H 2 be Hilbert spaces and T : dom(t ) H 2 be a densely defined linear operator, i.e. dom(t ) is a dense linear subspace of H 1.

More information

arxiv: v1 [gr-qc] 15 Feb 2018

arxiv: v1 [gr-qc] 15 Feb 2018 Asymptotics for scalar perturbations from a neighborhood of the bifurcation sphere Y. Angelopoulos, S. Aretakis, and D. Gajic February 16, 2018 arxiv:1802.05692v1 [gr-qc] 15 Feb 2018 Abstract In our previous

More information

On Chern-Simons-Schrödinger equations including a vortex point

On Chern-Simons-Schrödinger equations including a vortex point On Chern-Simons-Schrödinger equations including a vortex point Alessio Pomponio Dipartimento di Meccanica, Matematica e Management, Politecnico di Bari Workshop in Nonlinear PDEs Brussels, September 7

More information

MATHS 730 FC Lecture Notes March 5, Introduction

MATHS 730 FC Lecture Notes March 5, Introduction 1 INTRODUCTION MATHS 730 FC Lecture Notes March 5, 2014 1 Introduction Definition. If A, B are sets and there exists a bijection A B, they have the same cardinality, which we write as A, #A. If there exists

More information

ON THE STATIC METRIC EXTENSION PROBLEM

ON THE STATIC METRIC EXTENSION PROBLEM ON THE STATIC METRIC EXTENSION PROBLEM STEFAN CZIMEK Abstract. The subject of this Master thesis under the guidance of M. Eichmair is the following theorem of J. Corvino and R. Schoen [5]: Minimal mass

More information

R. M. Brown. 29 March 2008 / Regional AMS meeting in Baton Rouge. Department of Mathematics University of Kentucky. The mixed problem.

R. M. Brown. 29 March 2008 / Regional AMS meeting in Baton Rouge. Department of Mathematics University of Kentucky. The mixed problem. mixed R. M. Department of Mathematics University of Kentucky 29 March 2008 / Regional AMS meeting in Baton Rouge Outline mixed 1 mixed 2 3 4 mixed We consider the mixed boundary value Lu = 0 u = f D u

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

. (70.1) r r. / r. Substituting, we have the following equation for f:

. (70.1) r r. / r. Substituting, we have the following equation for f: 7 Spherical waves Let us consider a sound wave in which the distribution of densit velocit etc, depends only on the distance from some point, ie, is spherically symmetrical Such a wave is called a spherical

More information

Inertial Game Dynamics

Inertial Game Dynamics ... Inertial Game Dynamics R. Laraki P. Mertikopoulos CNRS LAMSADE laboratory CNRS LIG laboratory ADGO'13 Playa Blanca, October 15, 2013 ... Motivation Main Idea: use second order tools to derive efficient

More information