Elliptic Operators with Unbounded Coefficients

Size: px
Start display at page:

Download "Elliptic Operators with Unbounded Coefficients"

Transcription

1 Elliptic Operators with Unbounded Coefficients Federica Gregorio Universitá degli Studi di Salerno 8th June 2018 joint work with S.E. Boutiah, A. Rhandi, C. Tacelli

2 Motivation Consider the Stochastic Differential Equation { dx(t, x) = F(X(t, x))dt + Q(X(t, x))db(t), t > 0, X(0) = x R N, (SDE) B(t) is a standard Brownian motion and Q(x) L(R N ). Probabilistic model of the physical process of diffusion Model in mathematical finance Model in biology

3 Motivation Consider the Stochastic Differential Equation { dx(t, x) = F(X(t, x))dt + Q(X(t, x))db(t), t > 0, X(0) = x R N, u(t, x) := E(ϕ(X(t, x)), ϕ C b (R N ) Then u solves Kolomogorov/Fokker-Planck equation u t (t, x) = N i,j=1 u(0, x) = ϕ(x), x R N, a ij (x)d ij u(t, x) + F(x) u(t, x), t > 0, (FP) (a ij (x)) := 1 2 Q(x)Q(x) can be unbounded.

4 Examples The Black-Scholes equation: v t σ2 2 x 2 2 v v rx + rv = 0, 0 < t T, x 2 x v(0, x) = (x K ) +, x > 0. (BS) v(t, x) = u(t t, x) is the value of european type option on the asset price x at time t; σ is the stock volatility; r is the risk-free rate; 0 < x is the underlying asset; K is the prescribed price.

5 Set y = log x. Then, v(t, x) = x α 1 2 e (α+1)2 8 σ 2t w ( σ 2 2 ) t, log x, where α = 2r σ 2 and w solves the heat equation w t = 2 w y 2 t > 0, y R, w(0, y) = e α 1 2 y (e y K ) + y R.

6 Examples Ornstein-Uhlenbeck operator: { dx(t, x) = MX(t, x)dt + db(t), t > 0, X(0, x) = x R N, (OU) M = (m ij ) L(R N ). Set M t := t 0 esm e sm ds. Then u(t, x) : = E(f (X(t, x))) = (2π) N 2 (det Mt ) 1 2 R N e 1 2 M 1/2 t (e tm x y) 2 f (y) dy solves the Ornstein-Ulhenbeck equation u t (t, x) = 1 u(t, x) + Mx u(t, x), t > 0, 2 u(0, x) = f (x) x R N. (OU)

7 Semigroups in short Let X be a Banach space. A family (T (t)) t 0 of bounded operators on X is called a strongly continuous or C 0 -semigroup if T (0) = I and T (t + s) = T (t)t (s) for all t, s 0; t T (t)x X is continuous for every x X.

8 Semigroups in short The generator of a strongly continuous semigroup A is defined as D(A) := {x X : t T (t)x is differentiable on [0, )} Ax := d dt T (t)x t=0 = lim t t 0 1 T (t) e ta (T (t)x x).

9 Semigroup approach to initial-boundary value problems Given X Banach space, A : D(A) X X with boundary conditions in D(A) { u (ACP 1 ) t (t) = Au(t) u(0) = u 0 (A, D(A)) generates a C 0 -semigroup (T (t)) t 0 on X (ACP 1 ) well posed with solution u(t) = T (t)u 0. Study qualitative properties: positivity, stability, regularity,...

10 The resolvent The Resolvent Operator is the operator R(λ, A) := (λ A) 1, λ ρ(a) := {λ C : λ A X is bijective} The semigroup is related to the Resolvent Operator T (t) is a C 0 -semigroup, T (t) e ωt then λ ρ(a) for Reλ > ω R(λ, A)f = 0 e λs T (s)f ds, R(λ, A) 1 Reλ ω.

11 Generation Theorems Hille, Yosida, (1948). Let (A, D(A)) closed, densely defined and λ ρ(a) for every λ > ω R(λ, A) 1 λ ω = A generates T (t) eωt Lumer, Phillips, (1961). Rg(λ A) = X, (λ A)f λ f, for all λ > 0 = A generates T (t) 1

12 Some trivial example Let ω R consider the operator A : R R, Ax = ωx d x(t) = Ax(t) = ωx(t) dt (1) x(0) = x 0 R(λ, A) = (λ A) 1 solves the equation λx ωx = y x = A closed, dense λ ρ(a) if λ > ω R(λ, A) = 1 λ ω R(λ, A)y = y λ ω H. Y. Theorem = and ρ(a) = C \ {ω} For t > 0, T (t) : R R Fixing x 0, T (t)x 0 = x(t) is a function in t and solves (1) y λ ω A generates T (t) e ωt

13 Some trivial example T (t)x = e ωt x Semigroup laws Generator Resolvent i) T (t + s)x = e ω(t+s) x = e ωt e ωs x = T (t)t (s)x ii) T (0)x = e µ0 x = x iii) lim t 0 T (t)x = x R(λ, A)y = Ax = lim t 0 T (t)x x t y λ ω = 0 = lim t 0 e ωt x x t e λs T (s)yds = 0 = ωx e λs e ωs yds

14 Kernel Representation If the coefficients of the differential operator have suitable regularity, the semigroup has a kernel representation. T (t)f (x) = k(t, x, y)f (y)dy. R N Consider the heat equation t u(t, x) = u(t, x), u(0, x) = f (x) 1 u(t, x) = T (t)f (x) = (4πt) N/2 e x y 2 4t f (y)dy In this case k(t, x, y) = 1 e x y 2 (4πt) N/2 4t The behavior of the semigroup depends on the behavior of the kernel The kernel is related to the eigenvalues and the ground state of the problem

15 Elliptic operators with unbounded coefficients We consider elliptic operators with unbounded coefficients of the form Au(x) = N i,j=1 a ij (x)d ij u(x) + N b i (x)d i u(x) + V (x)u(x). i=1 The realisation A of A in C b (R N ) with maximal domain D max (A) = {u C b (R N ) 1 p< Au = Au. W 2,p loc (RN ) : Au C b (R N )}

16 { t u(t, x) = Au(t, x) t > 0, x R N u(0, x) = f (x) x R N, (2) with f C b (R N ). To have solution we assume that for some α (0, 1), (1) a ij, b i, V C α loc (RN ), i, j = 1,..., N; (2) a ij = a ji and a(x)ξ, ξ = i,j a ij (x)ξ i ξ j k(x) ξ 2 x, ξ R N, k(x) > 0; (3) c 0 R s.t. V (x) c 0, x R N.

17 Consider the problem on bounded domains t u R (t, x) = Au R (t, x) t > 0, x B R u R (t, x) = 0 t > 0, x B R u R (0, x) = f (x) x B R, (3) with f C b (R N ). Then A is uniformly elliptic on compacts of R N and (3) admits unique classical solution u R (t, x) = T R (t)f (x), t 0, x B R with T R (t) analytic semigroup in C(B R ). The infinitesimal generator of (T R (t)) is (A, D R (A)), D R (A) = {u C 0 (B R ) 1<p< W 2,p (B R ), : Au C(B R )}.

18 Theorem 1 (i) (T R (t)) has the integral representation T R (t)f (x) = p R (t, x, y)f (y)dy, f C(B R ), t > 0, x B R B R with strictly positive kernel p R C((0, + ) B R B R ). (ii) T R (t) L(L p (B R )) per ogni t 0 e per ogni 1 < p < + ; (iii) T R (t) is contractive in C(B R ); (iv) for all fixed y B R, p R (,, y) C 1+ α 2,2+α ([s, t 0 ] B R ) for all 0 < s < t 0 and t p R (t, x, y) = Ap R (t, x, y), (t, x) (0, + ) B R.

19 f C(B R ) + (iv), gives u R C 1+ α 2,2+α ([s, t 0 ] B R ). Proposition 1 Let f C b (R N ) and t 0; then it exists T (t)f (x) = lim T R(t)f (x), x R N (4) R + and (T (t)) is a positive semigroup in C b (R N ).

20 Schauder interior estimates u R C 1+α/2,2+α ([ε,t ] B R 1 ) C u R L ((0,T ) B R ) Ce λ 0T f Theorem 2 Let f C b (R N ), then the function u(t, x) = T (t)f (x) belongs to C 1+ α 2,2+α loc ((0, + ) R N ) and it solves { u t (t, x) = Au(t, x) t > 0, x R N, u(0, x) = f (x) x R N.

21 The operator For c > 0, b R, α > 2 and β > α 2 we consider on L p (R N ) A := (1 + x α ) + b x α 2 x c x β. (5) Aim. Solvability of λu Au = f Properties of the maximal domains Generation of positive analytic semigroup

22 Related results b = c = 0 : Unbounded Diffusion: A = (1 + x α ) [G. Metafune, C. Spina, 10] α > 2, p > N N 2 b = 0 : Schrödinger-Type Operator: A = (1 + x α ) c x β [L. Lorenzi, A. Rhandi, 15] 0 α 2, β 0 [A. Canale, A. Rhandi, C.Tacelli, 16] α > 2, β > α 2 c = 0 : Unbounded Diffusion & Drift: A = (1 + x α ) + b x α 2 x [S. Fornaro, L. Lorenzi 07]: 0 α 2. [Metafune, Spina, Tacelli, 14] α > 2, b > 2 N p > N N 2+b Complete : A = x α + b x α 2 x x c x α 2 [G. Metafune, N. Okazawa, M. Sobajima, C. Spina, 16] N/p (s 1 + min{0, 2 α}, s 2 + max{0, 2 α}), c + s(n 2 + b s) = 0

23 Remark A := (1 + x α ) + b x α 2 x c x β. (1 + x α ) and b x α 1 x x are homogeneous at infinity. They have the same influence on the behaviour of A. ( possible dependence on coefficient b); x β with β > α 2 is super homogeneous. No critical exponent, but strong unboundedness with respect to diffusion and drift. A different approach is required; b x α 1 x x is not a small perturbation of (1 + x α ) c x β.

24 Solvability in C 0 (R N ) First consider the operator (A, D max (A)) on C b (R N ) where D max (A) = {u C b (R N ) 1 p< W 2,p loc (RN ) : Au C b (R N )}. It is known that we can associate to the parabolic problem { ut (t, x) = Au(t, x) x R N, t > 0, u(0, x) = f (x) x R N, f C b (R N ) (6) a semigroup of bounded operators (T min (t)) t 0 in C b (R N ) generated by A min = (A, ˆD), where ˆD D max.

25 Solvability in C 0 (R N ) The uniqueness relies on the existence of suitable Lyapunov function for A, i.e. 0 φ C 2 (R N ) : lim φ(x) = +, Aφ λφ 0, λ > 0. x Proposition 2 Assume that α > 2, β > α 2. Then φ = 1 + x γ function for A. : γ > 2 is Lypunov Proposition 3 T min (t) is generated by (A, D max (A)) C 0 (R N ), is compact, preserves C 0 (R N ).

26 Solvability of λu Au = f in L p The transformation v = u φ where φ = (1 + x α ) b α gives λu Au = f ( U) v = }{{} := H U = 1 4 φ φ f φ 1 + x α. φ φ + λ + c x β 1 + x α c x β 1 + x α For λ λ 0 we have 0 U L 1 loc then there exists G(x, y) such that v(x) = G(x, y) f (y)dy solves Hv = f R N u(x) = Lf (x) := G(x, y) φ(y) f (y)dy solves λu Au = f R N φ(x) 1 + y α We study the L p -boundedness of the operator L by estimates of G.

27 Green function estimates of U Since U(0) = λ > 0 and U behaves like x β α as x we have the following estimates C 1 (1 + x β α ) U C 2 (1 + x β α ) if β α, (7) 1 C x α β U C x α β if α 2 < β < α for some positive constants C 1, C 2, C 3, C 4. Z. Shen 95, gives estimate of G(x, y) if the potential belong to the reverse Holder class B q if q N 2.

28 Green function estimates of U f 0 is said to be in B q if C > 0 : ( 1 B B f q dx) 1/q C ( 1 B B ) fdx B R N. If β α 0 then x β α B. If N q < (β α) < 0 then x β α B q β > α 2 U B N 2 β α 2 U / B N 2

29 Green function estimates of U For every k > 0 there is some constant C(k) > 0 such that 1 m(x) G(x, y) := sup r>0 { r : C k (1 + m(x) x y ) k 1 r N 2 B(x,r) U(y)dy 1 1 x y N 2 }, x R N. Proposition 4 m(x) C(1 + x ) β α 2, β > α 2, C = C(α, β, N) Sketch of Proof. Observe that U CṼ.

30 Green function estimates of U Lemma 3 if β > α 2 G(x, y) C k x y k (1 + x ) β α 2 k 1 x y N 2 Finally we can prove the boundedness of L in L p (R N ). Theorem 4 C = C(λ): γ [0, β] and f L p (R N ) x γ Lf p C f p. For every f Cc (R N ) the function u solves λu Au = f

31 Theorem 5 Closedness & Invertibility of λ A p in D p,max (A) D p,max (A) = {u L p (R N ) W 2,p loc (RN ) : Au L p (R N )}. Assume that N > 2, α > 2 and β > α 2. For p (1, ) the following holds D p,max (A) = {u W 2,p (R N ) : Au L p (R N )}. The operator λ A p is closed and invertible. Moreover C = C(λ) > 0 : γ [0, β] and λ λ 0, we have γ u p C λu A p u p, u D p,max (A). The inverse of λ A p is a positive operator λ λ 0. Moreover, if f L p C 0 then (λ A p ) 1 f = (λ A) 1 f.

32 Weighted gradient and second derivative estimates D p (A) := {u W 2,p (R N ) : Vu, (1+ x α 1 ) u, (1+ x α )D 2 u L p (R N )} Lemma 6 C > 0: u D p (A) we have (1 + x α 1 ) u p C( A p u p + u p ), (1 + x α )D 2 u p C( A p u p + u p ). The space Cc (R N ) is dense in D p (A) endowed with the norm u Dp (A) := u p + Vu p + (1 + x α 1 ) u p + (1 + x α ) D 2 u p.

33 Generation of Analytic Semigroup Theorem 7 (A, D p (A)) generates a analytic semigroup in L p (R N ).

34 Some References [1] S. E. Boutiah, F. Gregorio, A. Rhandi, C. Tacelli: Elliptic operators with unbounded diffusion, drift and potential terms. J. Differential Equations 264 (2018), no. 3, [2] S. Fornaro, L. Lorenzi: Generation results for elliptic operators with unbounded diffusion coefficients in L p and C b -spaces, Discrete Contin. Dyn. Syst. 18 (2007), [3] L. Lorenzi, A. Rhandi: On Schrödinger type operators with unbounded coefficients: generation and heat kernel estimates. J. Evol. Equ. 15 (2015), no. 1, [4] G. Metafune, C. Spina: Elliptic operators with unbounded diffusion coefficients in L p spaces, Ann. Scuola Norm. Sup. Pisa Cl. Sci. (5) Vol. XI (2012),

Analyticity of semigroups generated by Fleming-Viot type operators

Analyticity of semigroups generated by Fleming-Viot type operators Analyticity of semigroups generated by Fleming-Viot type operators Elisabetta Mangino, in collaboration with A. Albanese Università del Salento, Lecce, Italy s Au(x) = x i (δ ij x j )D ij u + b i (x)d

More information

ON THE FRACTIONAL CAUCHY PROBLEM ASSOCIATED WITH A FELLER SEMIGROUP

ON THE FRACTIONAL CAUCHY PROBLEM ASSOCIATED WITH A FELLER SEMIGROUP Dedicated to Professor Gheorghe Bucur on the occasion of his 7th birthday ON THE FRACTIONAL CAUCHY PROBLEM ASSOCIATED WITH A FELLER SEMIGROUP EMIL POPESCU Starting from the usual Cauchy problem, we give

More information

Strong uniqueness for stochastic evolution equations with possibly unbounded measurable drift term

Strong uniqueness for stochastic evolution equations with possibly unbounded measurable drift term 1 Strong uniqueness for stochastic evolution equations with possibly unbounded measurable drift term Enrico Priola Torino (Italy) Joint work with G. Da Prato, F. Flandoli and M. Röckner Stochastic Processes

More information

ANALYTIC SEMIGROUPS AND APPLICATIONS. 1. Introduction

ANALYTIC SEMIGROUPS AND APPLICATIONS. 1. Introduction ANALYTIC SEMIGROUPS AND APPLICATIONS KELLER VANDEBOGERT. Introduction Consider a Banach space X and let f : D X and u : G X, where D and G are real intervals. A is a bounded or unbounded linear operator

More information

Corollary A linear operator A is the generator of a C 0 (G(t)) t 0 satisfying G(t) e ωt if and only if (i) A is closed and D(A) = X;

Corollary A linear operator A is the generator of a C 0 (G(t)) t 0 satisfying G(t) e ωt if and only if (i) A is closed and D(A) = X; 2.2 Rudiments 71 Corollary 2.12. A linear operator A is the generator of a C 0 (G(t)) t 0 satisfying G(t) e ωt if and only if (i) A is closed and D(A) = X; (ii) ρ(a) (ω, ) and for such λ semigroup R(λ,

More information

Introduction to Semigroup Theory

Introduction to Semigroup Theory Introduction to Semigroup Theory Franz X. Gmeineder LMU München, U Firenze Bruck am Ziller / Dec 15th 2012 Franz X. Gmeineder Introduction to Semigroup Theory 1/25 The Way Up: Opening The prototype of

More information

An Operator Theoretical Approach to Nonlocal Differential Equations

An Operator Theoretical Approach to Nonlocal Differential Equations An Operator Theoretical Approach to Nonlocal Differential Equations Joshua Lee Padgett Department of Mathematics and Statistics Texas Tech University Analysis Seminar November 27, 2017 Joshua Lee Padgett

More information

Cores for generators of some Markov semigroups

Cores for generators of some Markov semigroups Cores for generators of some Markov semigroups Giuseppe Da Prato, Scuola Normale Superiore di Pisa, Italy and Michael Röckner Faculty of Mathematics, University of Bielefeld, Germany and Department of

More information

On Semigroups Of Linear Operators

On Semigroups Of Linear Operators On Semigroups Of Linear Operators Elona Fetahu Submitted to Central European University Department of Mathematics and its Applications In partial fulfillment of the requirements for the degree of Master

More information

Mathematical Methods for Neurosciences. ENS - Master MVA Paris 6 - Master Maths-Bio ( )

Mathematical Methods for Neurosciences. ENS - Master MVA Paris 6 - Master Maths-Bio ( ) Mathematical Methods for Neurosciences. ENS - Master MVA Paris 6 - Master Maths-Bio (2014-2015) Etienne Tanré - Olivier Faugeras INRIA - Team Tosca November 26th, 2014 E. Tanré (INRIA - Team Tosca) Mathematical

More information

P(E t, Ω)dt, (2) 4t has an advantage with respect. to the compactly supported mollifiers, i.e., the function W (t)f satisfies a semigroup law:

P(E t, Ω)dt, (2) 4t has an advantage with respect. to the compactly supported mollifiers, i.e., the function W (t)f satisfies a semigroup law: Introduction Functions of bounded variation, usually denoted by BV, have had and have an important role in several problems of calculus of variations. The main features that make BV functions suitable

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

Stochastic Calculus February 11, / 33

Stochastic Calculus February 11, / 33 Martingale Transform M n martingale with respect to F n, n =, 1, 2,... σ n F n (σ M) n = n 1 i= σ i(m i+1 M i ) is a Martingale E[(σ M) n F n 1 ] n 1 = E[ σ i (M i+1 M i ) F n 1 ] i= n 2 = σ i (M i+1 M

More information

Kolmogorov equations in Hilbert spaces IV

Kolmogorov equations in Hilbert spaces IV March 26, 2010 Other types of equations Let us consider the Burgers equation in = L 2 (0, 1) dx(t) = (AX(t) + b(x(t))dt + dw (t) X(0) = x, (19) where A = ξ 2, D(A) = 2 (0, 1) 0 1 (0, 1), b(x) = ξ 2 (x

More information

13 The martingale problem

13 The martingale problem 19-3-2012 Notations Ω complete metric space of all continuous functions from [0, + ) to R d endowed with the distance d(ω 1, ω 2 ) = k=1 ω 1 ω 2 C([0,k];H) 2 k (1 + ω 1 ω 2 C([0,k];H) ), ω 1, ω 2 Ω. F

More information

Continuous dependence estimates for the ergodic problem with an application to homogenization

Continuous dependence estimates for the ergodic problem with an application to homogenization Continuous dependence estimates for the ergodic problem with an application to homogenization Claudio Marchi Bayreuth, September 12 th, 2013 C. Marchi (Università di Padova) Continuous dependence Bayreuth,

More information

Brownian Motion. 1 Definition Brownian Motion Wiener measure... 3

Brownian Motion. 1 Definition Brownian Motion Wiener measure... 3 Brownian Motion Contents 1 Definition 2 1.1 Brownian Motion................................. 2 1.2 Wiener measure.................................. 3 2 Construction 4 2.1 Gaussian process.................................

More information

The Dirichlet boundary problems for second order parabolic operators satisfying a Carleson condition

The Dirichlet boundary problems for second order parabolic operators satisfying a Carleson condition The Dirichlet boundary problems for second order parabolic operators satisfying a Martin Dindos Sukjung Hwang University of Edinburgh Satellite Conference in Harmonic Analysis Chosun University, Gwangju,

More information

On semilinear elliptic equations with measure data

On semilinear elliptic equations with measure data On semilinear elliptic equations with measure data Andrzej Rozkosz (joint work with T. Klimsiak) Nicolaus Copernicus University (Toruń, Poland) Controlled Deterministic and Stochastic Systems Iasi, July

More information

Stochastic Volatility and Correction to the Heat Equation

Stochastic Volatility and Correction to the Heat Equation Stochastic Volatility and Correction to the Heat Equation Jean-Pierre Fouque, George Papanicolaou and Ronnie Sircar Abstract. From a probabilist s point of view the Twentieth Century has been a century

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

Lyapunov Stability Theory

Lyapunov Stability Theory Lyapunov Stability Theory Peter Al Hokayem and Eduardo Gallestey March 16, 2015 1 Introduction In this lecture we consider the stability of equilibrium points of autonomous nonlinear systems, both in continuous

More information

Fractional Evolution Integro-Differential Systems with Nonlocal Conditions

Fractional Evolution Integro-Differential Systems with Nonlocal Conditions Advances in Dynamical Systems and Applications ISSN 973-5321, Volume 5, Number 1, pp. 49 6 (21) http://campus.mst.edu/adsa Fractional Evolution Integro-Differential Systems with Nonlocal Conditions Amar

More information

Lipschitz continuity for solutions of Hamilton-Jacobi equation with Ornstein-Uhlenbeck operator

Lipschitz continuity for solutions of Hamilton-Jacobi equation with Ornstein-Uhlenbeck operator Lipschitz continuity for solutions of Hamilton-Jacobi equation with Ornstein-Uhlenbeck operator Thi Tuyen Nguyen Ph.D student of University of Rennes 1 Joint work with: Prof. E. Chasseigne(University of

More information

Stabilization of Distributed Parameter Systems by State Feedback with Positivity Constraints

Stabilization of Distributed Parameter Systems by State Feedback with Positivity Constraints Stabilization of Distributed Parameter Systems by State Feedback with Positivity Constraints Joseph Winkin Namur Center of Complex Systems (naxys) and Dept. of Mathematics, University of Namur, Belgium

More information

Solving Stochastic Partial Differential Equations as Stochastic Differential Equations in Infinite Dimensions - a Review

Solving Stochastic Partial Differential Equations as Stochastic Differential Equations in Infinite Dimensions - a Review Solving Stochastic Partial Differential Equations as Stochastic Differential Equations in Infinite Dimensions - a Review L. Gawarecki Kettering University NSF/CBMS Conference Analysis of Stochastic Partial

More information

On Controllability of Linear Systems 1

On Controllability of Linear Systems 1 On Controllability of Linear Systems 1 M.T.Nair Department of Mathematics, IIT Madras Abstract In this article we discuss some issues related to the observability and controllability of linear systems.

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

Fonctions on bounded variations in Hilbert spaces

Fonctions on bounded variations in Hilbert spaces Fonctions on bounded variations in ilbert spaces Newton Institute, March 31, 2010 Introduction We recall that a function u : R n R is said to be of bounded variation (BV) if there exists an n-dimensional

More information

Wiener Measure and Brownian Motion

Wiener Measure and Brownian Motion Chapter 16 Wiener Measure and Brownian Motion Diffusion of particles is a product of their apparently random motion. The density u(t, x) of diffusing particles satisfies the diffusion equation (16.1) u

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

Poisson Jumps in Credit Risk Modeling: a Partial Integro-differential Equation Formulation

Poisson Jumps in Credit Risk Modeling: a Partial Integro-differential Equation Formulation Poisson Jumps in Credit Risk Modeling: a Partial Integro-differential Equation Formulation Jingyi Zhu Department of Mathematics University of Utah zhu@math.utah.edu Collaborator: Marco Avellaneda (Courant

More information

Domain Perturbation for Linear and Semi-Linear Boundary Value Problems

Domain Perturbation for Linear and Semi-Linear Boundary Value Problems CHAPTER 1 Domain Perturbation for Linear and Semi-Linear Boundary Value Problems Daniel Daners School of Mathematics and Statistics, The University of Sydney, NSW 2006, Australia E-mail: D.Daners@maths.usyd.edu.au

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

Université de Metz. Master 2 Recherche de Mathématiques 2ème semestre. par Ralph Chill Laboratoire de Mathématiques et Applications de Metz

Université de Metz. Master 2 Recherche de Mathématiques 2ème semestre. par Ralph Chill Laboratoire de Mathématiques et Applications de Metz Université de Metz Master 2 Recherche de Mathématiques 2ème semestre Systèmes gradients par Ralph Chill Laboratoire de Mathématiques et Applications de Metz Année 26/7 1 Contents Chapter 1. Introduction

More information

On feedback stabilizability of time-delay systems in Banach spaces

On feedback stabilizability of time-delay systems in Banach spaces On feedback stabilizability of time-delay systems in Banach spaces S. Hadd and Q.-C. Zhong q.zhong@liv.ac.uk Dept. of Electrical Eng. & Electronics The University of Liverpool United Kingdom Outline Background

More information

Nonlinear aspects of Calderón-Zygmund theory

Nonlinear aspects of Calderón-Zygmund theory Ancona, June 7 2011 Overture: The standard CZ theory Consider the model case u = f in R n Overture: The standard CZ theory Consider the model case u = f in R n Then f L q implies D 2 u L q 1 < q < with

More information

L -uniqueness of Schrödinger operators on a Riemannian manifold

L -uniqueness of Schrödinger operators on a Riemannian manifold L -uniqueness of Schrödinger operators on a Riemannian manifold Ludovic Dan Lemle Abstract. The main purpose of this paper is to study L -uniqueness of Schrödinger operators and generalized Schrödinger

More information

NONTRIVIAL SOLUTIONS TO INTEGRAL AND DIFFERENTIAL EQUATIONS

NONTRIVIAL SOLUTIONS TO INTEGRAL AND DIFFERENTIAL EQUATIONS Fixed Point Theory, Volume 9, No. 1, 28, 3-16 http://www.math.ubbcluj.ro/ nodeacj/sfptcj.html NONTRIVIAL SOLUTIONS TO INTEGRAL AND DIFFERENTIAL EQUATIONS GIOVANNI ANELLO Department of Mathematics University

More information

Stability of an abstract wave equation with delay and a Kelvin Voigt damping

Stability of an abstract wave equation with delay and a Kelvin Voigt damping Stability of an abstract wave equation with delay and a Kelvin Voigt damping University of Monastir/UPSAY/LMV-UVSQ Joint work with Serge Nicaise and Cristina Pignotti Outline 1 Problem The idea Stability

More information

BI-CONTINUOUS SEMIGROUPS FOR FLOWS IN INFINITE NETWORKS. 1. Introduction

BI-CONTINUOUS SEMIGROUPS FOR FLOWS IN INFINITE NETWORKS. 1. Introduction BI-CONTINUOUS SEMIGROUPS FOR FLOWS IN INFINITE NETWORKS CHRISTIAN BUDDE AND MARJETA KRAMAR FIJAVŽ Abstract. We study transport processes on infinite metric graphs with non-constant velocities and matrix

More information

Nash Type Inequalities for Fractional Powers of Non-Negative Self-adjoint Operators. ( Wroclaw 2006) P.Maheux (Orléans. France)

Nash Type Inequalities for Fractional Powers of Non-Negative Self-adjoint Operators. ( Wroclaw 2006) P.Maheux (Orléans. France) Nash Type Inequalities for Fractional Powers of Non-Negative Self-adjoint Operators ( Wroclaw 006) P.Maheux (Orléans. France) joint work with A.Bendikov. European Network (HARP) (to appear in T.A.M.S)

More information

Dynamical systems with Gaussian and Levy noise: analytical and stochastic approaches

Dynamical systems with Gaussian and Levy noise: analytical and stochastic approaches Dynamical systems with Gaussian and Levy noise: analytical and stochastic approaches Noise is often considered as some disturbing component of the system. In particular physical situations, noise becomes

More information

p 1 ( Y p dp) 1/p ( X p dp) 1 1 p

p 1 ( Y p dp) 1/p ( X p dp) 1 1 p Doob s inequality Let X(t) be a right continuous submartingale with respect to F(t), t 1 P(sup s t X(s) λ) 1 λ {sup s t X(s) λ} X + (t)dp 2 For 1 < p

More information

A metric space X is a non-empty set endowed with a metric ρ (x, y):

A metric space X is a non-empty set endowed with a metric ρ (x, y): Chapter 1 Preliminaries References: Troianiello, G.M., 1987, Elliptic differential equations and obstacle problems, Plenum Press, New York. Friedman, A., 1982, Variational principles and free-boundary

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

The Dirichlet boundary problems for second order parabolic operators satisfying a Carleson condition

The Dirichlet boundary problems for second order parabolic operators satisfying a Carleson condition The Dirichlet boundary problems for second order parabolic operators satisfying a Carleson condition Sukjung Hwang CMAC, Yonsei University Collaboration with M. Dindos and M. Mitrea The 1st Meeting of

More information

OBSERVATION OPERATORS FOR EVOLUTIONARY INTEGRAL EQUATIONS

OBSERVATION OPERATORS FOR EVOLUTIONARY INTEGRAL EQUATIONS OBSERVATION OPERATORS FOR EVOLUTIONARY INTEGRAL EQUATIONS MICHAEL JUNG Abstract. We analyze admissibility and exactness of observation operators arising in control theory for Volterra integral equations.

More information

ON MARKOV AND KOLMOGOROV MATRICES AND THEIR RELATIONSHIP WITH ANALYTIC OPERATORS. N. Katilova (Received February 2004)

ON MARKOV AND KOLMOGOROV MATRICES AND THEIR RELATIONSHIP WITH ANALYTIC OPERATORS. N. Katilova (Received February 2004) NEW ZEALAND JOURNAL OF MATHEMATICS Volume 34 (2005), 43 60 ON MARKOV AND KOLMOGOROV MATRICES AND THEIR RELATIONSHIP WITH ANALYTIC OPERATORS N. Katilova (Received February 2004) Abstract. In this article,

More information

NONLOCAL DIFFUSION EQUATIONS

NONLOCAL DIFFUSION EQUATIONS NONLOCAL DIFFUSION EQUATIONS JULIO D. ROSSI (ALICANTE, SPAIN AND BUENOS AIRES, ARGENTINA) jrossi@dm.uba.ar http://mate.dm.uba.ar/ jrossi 2011 Non-local diffusion. The function J. Let J : R N R, nonnegative,

More information

Backward martingale representation and endogenous completeness in finance

Backward martingale representation and endogenous completeness in finance Backward martingale representation and endogenous completeness in finance Dmitry Kramkov (with Silviu Predoiu) Carnegie Mellon University 1 / 19 Bibliography Robert M. Anderson and Roberto C. Raimondo.

More information

Harnack Inequalities and Applications for Stochastic Equations

Harnack Inequalities and Applications for Stochastic Equations p. 1/32 Harnack Inequalities and Applications for Stochastic Equations PhD Thesis Defense Shun-Xiang Ouyang Under the Supervision of Prof. Michael Röckner & Prof. Feng-Yu Wang March 6, 29 p. 2/32 Outline

More information

Semigroups of Operators

Semigroups of Operators Lecture 11 Semigroups of Operators In tis Lecture we gater a few notions on one-parameter semigroups of linear operators, confining to te essential tools tat are needed in te sequel. As usual, X is a real

More information

Backward Stochastic Differential Equations with Infinite Time Horizon

Backward Stochastic Differential Equations with Infinite Time Horizon Backward Stochastic Differential Equations with Infinite Time Horizon Holger Metzler PhD advisor: Prof. G. Tessitore Università di Milano-Bicocca Spring School Stochastic Control in Finance Roscoff, March

More information

Functional Analysis Exercise Class

Functional Analysis Exercise Class Functional Analysis Exercise Class Week 9 November 13 November Deadline to hand in the homeworks: your exercise class on week 16 November 20 November Exercises (1) Show that if T B(X, Y ) and S B(Y, Z)

More information

Singular Integrals. 1 Calderon-Zygmund decomposition

Singular Integrals. 1 Calderon-Zygmund decomposition Singular Integrals Analysis III Calderon-Zygmund decomposition Let f be an integrable function f dx 0, f = g + b with g Cα almost everywhere, with b

More information

Positive Stabilization of Infinite-Dimensional Linear Systems

Positive Stabilization of Infinite-Dimensional Linear Systems Positive Stabilization of Infinite-Dimensional Linear Systems Joseph Winkin Namur Center of Complex Systems (NaXys) and Department of Mathematics, University of Namur, Belgium Joint work with Bouchra Abouzaid

More information

Chapter 4 Optimal Control Problems in Infinite Dimensional Function Space

Chapter 4 Optimal Control Problems in Infinite Dimensional Function Space Chapter 4 Optimal Control Problems in Infinite Dimensional Function Space 4.1 Introduction In this chapter, we will consider optimal control problems in function space where we will restrict ourselves

More information

Banach Spaces, HW Problems & Solutions from Hunter

Banach Spaces, HW Problems & Solutions from Hunter Problem 1: Banach Spaces, HW Problems & Solutions from Hunter Ex 5.3: Let δ: C ([,1]) -> R be the linear functional that evaluates a function at the origin: δ(f ) = f (). If C ([,1]) is equipped with the

More information

TD M1 EDP 2018 no 2 Elliptic equations: regularity, maximum principle

TD M1 EDP 2018 no 2 Elliptic equations: regularity, maximum principle TD M EDP 08 no Elliptic equations: regularity, maximum principle Estimates in the sup-norm I Let be an open bounded subset of R d of class C. Let A = (a ij ) be a symmetric matrix of functions of class

More information

MATH34032 Mid-term Test 10.00am 10.50am, 26th March 2010 Answer all six question [20% of the total mark for this course]

MATH34032 Mid-term Test 10.00am 10.50am, 26th March 2010 Answer all six question [20% of the total mark for this course] MATH3432: Green s Functions, Integral Equations and the Calculus of Variations 1 MATH3432 Mid-term Test 1.am 1.5am, 26th March 21 Answer all six question [2% of the total mark for this course] Qu.1 (a)

More information

ALMOST PERIODIC SOLUTIONS OF HIGHER ORDER DIFFERENTIAL EQUATIONS ON HILBERT SPACES

ALMOST PERIODIC SOLUTIONS OF HIGHER ORDER DIFFERENTIAL EQUATIONS ON HILBERT SPACES Electronic Journal of Differential Equations, Vol. 21(21, No. 72, pp. 1 12. ISSN: 172-6691. URL: http://ejde.math.txstate.edu or http://ejde.math.unt.edu ftp ejde.math.txstate.edu ALMOST PERIODIC SOLUTIONS

More information

Uniformly Uniformly-ergodic Markov chains and BSDEs

Uniformly Uniformly-ergodic Markov chains and BSDEs Uniformly Uniformly-ergodic Markov chains and BSDEs Samuel N. Cohen Mathematical Institute, University of Oxford (Based on joint work with Ying Hu, Robert Elliott, Lukas Szpruch) Centre Henri Lebesgue,

More information

Non-stationary Friedrichs systems

Non-stationary Friedrichs systems Department of Mathematics, University of Osijek BCAM, Bilbao, November 2013 Joint work with Marko Erceg 1 Stationary Friedrichs systems Classical theory Abstract theory 2 3 Motivation Stationary Friedrichs

More information

Semigroup Generation

Semigroup Generation Semigroup Generation Yudi Soeharyadi Analysis & Geometry Research Division Faculty of Mathematics and Natural Sciences Institut Teknologi Bandung WIDE-Workshoop in Integral and Differensial Equations 2017

More information

Stability of Stochastic Differential Equations

Stability of Stochastic Differential Equations Lyapunov stability theory for ODEs s Stability of Stochastic Differential Equations Part 1: Introduction Department of Mathematics and Statistics University of Strathclyde Glasgow, G1 1XH December 2010

More information

WEYL S LEMMA, ONE OF MANY. Daniel W. Stroock

WEYL S LEMMA, ONE OF MANY. Daniel W. Stroock WEYL S LEMMA, ONE OF MANY Daniel W Stroock Abstract This note is a brief, and somewhat biased, account of the evolution of what people working in PDE s call Weyl s Lemma about the regularity of solutions

More information

Robust control and applications in economic theory

Robust control and applications in economic theory Robust control and applications in economic theory In honour of Professor Emeritus Grigoris Kalogeropoulos on the occasion of his retirement A. N. Yannacopoulos Department of Statistics AUEB 24 May 2013

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

Notes. 1 Fourier transform and L p spaces. March 9, For a function in f L 1 (R n ) define the Fourier transform. ˆf(ξ) = f(x)e 2πi x,ξ dx.

Notes. 1 Fourier transform and L p spaces. March 9, For a function in f L 1 (R n ) define the Fourier transform. ˆf(ξ) = f(x)e 2πi x,ξ dx. Notes March 9, 27 1 Fourier transform and L p spaces For a function in f L 1 (R n ) define the Fourier transform ˆf(ξ) = f(x)e 2πi x,ξ dx. Properties R n 1. f g = ˆfĝ 2. δλ (f)(ξ) = ˆf(λξ), where δ λ f(x)

More information

Homogenization with stochastic differential equations

Homogenization with stochastic differential equations Homogenization with stochastic differential equations Scott Hottovy shottovy@math.arizona.edu University of Arizona Program in Applied Mathematics October 12, 2011 Modeling with SDE Use SDE to model system

More information

Introduction to Nonlinear Control Lecture # 3 Time-Varying and Perturbed Systems

Introduction to Nonlinear Control Lecture # 3 Time-Varying and Perturbed Systems p. 1/5 Introduction to Nonlinear Control Lecture # 3 Time-Varying and Perturbed Systems p. 2/5 Time-varying Systems ẋ = f(t, x) f(t, x) is piecewise continuous in t and locally Lipschitz in x for all t

More information

Bi Continuous Semigroups on Spaces with Two Topologies: Theory and Applications

Bi Continuous Semigroups on Spaces with Two Topologies: Theory and Applications Bi Continuous Semigroups on Spaces with Two Topologies: Theory and Applications Dissertation der Mathematischen Fakultät der Eberhard Karls Universität Tübingen zur Erlangung des Grades eines Doktors der

More information

Partial Differential Equations with Applications to Finance Seminar 1: Proving and applying Dynkin s formula

Partial Differential Equations with Applications to Finance Seminar 1: Proving and applying Dynkin s formula Partial Differential Equations with Applications to Finance Seminar 1: Proving and applying Dynkin s formula Group 4: Bertan Yilmaz, Richard Oti-Aboagye and Di Liu May, 15 Chapter 1 Proving Dynkin s formula

More information

Reflected Brownian Motion

Reflected Brownian Motion Chapter 6 Reflected Brownian Motion Often we encounter Diffusions in regions with boundary. If the process can reach the boundary from the interior in finite time with positive probability we need to decide

More information

Approximating diffusions by piecewise constant parameters

Approximating diffusions by piecewise constant parameters Approximating diffusions by piecewise constant parameters Lothar Breuer Institute of Mathematics Statistics, University of Kent, Canterbury CT2 7NF, UK Abstract We approximate the resolvent of a one-dimensional

More information

Nonlinear Dynamical Systems Lecture - 01

Nonlinear Dynamical Systems Lecture - 01 Nonlinear Dynamical Systems Lecture - 01 Alexandre Nolasco de Carvalho August 08, 2017 Presentation Course contents Aims and purpose of the course Bibliography Motivation To explain what is a dynamical

More information

The Dirichlet problem for non-divergence parabolic equations with discontinuous in time coefficients in a wedge

The Dirichlet problem for non-divergence parabolic equations with discontinuous in time coefficients in a wedge The Dirichlet problem for non-divergence parabolic equations with discontinuous in time coefficients in a wedge Vladimir Kozlov (Linköping University, Sweden) 2010 joint work with A.Nazarov Lu t u a ij

More information

On non negative solutions of some quasilinear elliptic inequalities

On non negative solutions of some quasilinear elliptic inequalities On non negative solutions of some quasilinear elliptic inequalities Lorenzo D Ambrosio and Enzo Mitidieri September 28 2006 Abstract Let f : R R be a continuous function. We prove that under some additional

More information

arxiv: v1 [math.ap] 18 May 2017

arxiv: v1 [math.ap] 18 May 2017 Littlewood-Paley-Stein functions for Schrödinger operators arxiv:175.6794v1 [math.ap] 18 May 217 El Maati Ouhabaz Dedicated to the memory of Abdelghani Bellouquid (2/2/1966 8/31/215) Abstract We study

More information

HJB equations. Seminar in Stochastic Modelling in Economics and Finance January 10, 2011

HJB equations. Seminar in Stochastic Modelling in Economics and Finance January 10, 2011 Department of Probability and Mathematical Statistics Faculty of Mathematics and Physics, Charles University in Prague petrasek@karlin.mff.cuni.cz Seminar in Stochastic Modelling in Economics and Finance

More information

Operator Semigroups and Dispersive Equations

Operator Semigroups and Dispersive Equations 16 th Internet Seminar on Evolution Equations Operator Semigroups and Dispersive Equations Lecture Notes Dirk Hundertmark Lars Machinek Martin Meyries Roland Schnaubelt Karlsruhe, Halle, February 21, 213

More information

Strongly continuous semigroups

Strongly continuous semigroups Capter 2 Strongly continuous semigroups Te main application of te teory developed in tis capter is related to PDE systems. Tese systems can provide te strong continuity properties only. 2.1 Closed operators

More information

Kolmogorov equations for stochastic PDE s with multiplicative noise

Kolmogorov equations for stochastic PDE s with multiplicative noise Kolmogorov equations for stochastic PDE s with multiplicative noise Giuseppe Da Prato 1 Scuola Normale Superiore, Pisa, Italy 1 Introduction We are here concerned with the following stochastic differential

More information

Chapter 7: Bounded Operators in Hilbert Spaces

Chapter 7: Bounded Operators in Hilbert Spaces Chapter 7: Bounded Operators in Hilbert Spaces I-Liang Chern Department of Applied Mathematics National Chiao Tung University and Department of Mathematics National Taiwan University Fall, 2013 1 / 84

More information

A Concise Course on Stochastic Partial Differential Equations

A Concise Course on Stochastic Partial Differential Equations A Concise Course on Stochastic Partial Differential Equations Michael Röckner Reference: C. Prevot, M. Röckner: Springer LN in Math. 1905, Berlin (2007) And see the references therein for the original

More information

On a class of self-adjoint elliptic operators in L 2 spaces with respect to invariant measures

On a class of self-adjoint elliptic operators in L 2 spaces with respect to invariant measures On a class of self-adjoint elliptic operators in L 2 spaces with respect to invariant measures Giuseppe Da Prato Scuola Normale Superiore Piazza dei Cavalieri 7, 56126 Pisa, Italy E-mail: daprato@sns.it

More information

Selçuk Demir WS 2017 Functional Analysis Homework Sheet

Selçuk Demir WS 2017 Functional Analysis Homework Sheet Selçuk Demir WS 2017 Functional Analysis Homework Sheet 1. Let M be a metric space. If A M is non-empty, we say that A is bounded iff diam(a) = sup{d(x, y) : x.y A} exists. Show that A is bounded iff there

More information

Bernardo D Auria Stochastic Processes /12. Notes. March 29 th, 2012

Bernardo D Auria Stochastic Processes /12. Notes. March 29 th, 2012 1 Stochastic Calculus Notes March 9 th, 1 In 19, Bachelier proposed for the Paris stock exchange a model for the fluctuations affecting the price X(t) of an asset that was given by the Brownian motion.

More information

A new approach for investment performance measurement. 3rd WCMF, Santa Barbara November 2009

A new approach for investment performance measurement. 3rd WCMF, Santa Barbara November 2009 A new approach for investment performance measurement 3rd WCMF, Santa Barbara November 2009 Thaleia Zariphopoulou University of Oxford, Oxford-Man Institute and The University of Texas at Austin 1 Performance

More information

Partial differential equation for temperature u(x, t) in a heat conducting insulated rod along the x-axis is given by the Heat equation:

Partial differential equation for temperature u(x, t) in a heat conducting insulated rod along the x-axis is given by the Heat equation: Chapter 7 Heat Equation Partial differential equation for temperature u(x, t) in a heat conducting insulated rod along the x-axis is given by the Heat equation: u t = ku x x, x, t > (7.1) Here k is a constant

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

COMPARISON THEOREMS FOR THE SPECTRAL GAP OF DIFFUSIONS PROCESSES AND SCHRÖDINGER OPERATORS ON AN INTERVAL. Ross G. Pinsky

COMPARISON THEOREMS FOR THE SPECTRAL GAP OF DIFFUSIONS PROCESSES AND SCHRÖDINGER OPERATORS ON AN INTERVAL. Ross G. Pinsky COMPARISON THEOREMS FOR THE SPECTRAL GAP OF DIFFUSIONS PROCESSES AND SCHRÖDINGER OPERATORS ON AN INTERVAL Ross G. Pinsky Department of Mathematics Technion-Israel Institute of Technology Haifa, 32000 Israel

More information

Existence and uniqueness: Picard s theorem

Existence and uniqueness: Picard s theorem Existence and uniqueness: Picard s theorem First-order equations Consider the equation y = f(x, y) (not necessarily linear). The equation dictates a value of y at each point (x, y), so one would expect

More information

Equations paraboliques: comportement qualitatif

Equations paraboliques: comportement qualitatif Université de Metz Master 2 Recherche de Mathématiques 2ème semestre Equations paraboliques: comportement qualitatif par Ralph Chill Laboratoire de Mathématiques et Applications de Metz Année 25/6 1 Contents

More information

Obstacle problems for nonlocal operators

Obstacle problems for nonlocal operators Obstacle problems for nonlocal operators Camelia Pop School of Mathematics, University of Minnesota Fractional PDEs: Theory, Algorithms and Applications ICERM June 19, 2018 Outline Motivation Optimal regularity

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

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

Weak convergence and large deviation theory

Weak convergence and large deviation theory First Prev Next Go To Go Back Full Screen Close Quit 1 Weak convergence and large deviation theory Large deviation principle Convergence in distribution The Bryc-Varadhan theorem Tightness and Prohorov

More information

Large time behavior of reaction-diffusion equations with Bessel generators

Large time behavior of reaction-diffusion equations with Bessel generators Large time behavior of reaction-diffusion equations with Bessel generators José Alfredo López-Mimbela Nicolas Privault Abstract We investigate explosion in finite time of one-dimensional semilinear equations

More information