Analyticity of semigroups generated by Fleming-Viot type operators

Size: px
Start display at page:

Download "Analyticity of semigroups generated by Fleming-Viot type operators"

Transcription

1 Analyticity of semigroups generated by Fleming-Viot type operators Elisabetta Mangino, in collaboration with A. Albanese Università del Salento, Lecce, Italy

2 s Au(x) = x i (δ ij x j )D ij u + b i (x)d i u i,j=1 i=1 d=1: S d = {(x 1,..., x d ) R d i {1,..., d} x i 0; Au(x) = x(1 x)u (x) + b(x)u (x) x i 1} d=2: Au(x, y) = x(1 x)u xx + y(1 y)u yy 2xyu xy + b 1(x, y)u x + b 2(x, y)u y. The problem u t = Au arises as a continuous approximation of a Markov process i=1 (p 1(k),..., p d (k), 1 p 1(k) p d (k)) k N describing the frequency of (d+1) types of genetic character at the k-th generation of a population (Wright-Fischer model). Ewens, Mathematical Population Genetics, 1979 (geneticist points of view and motivations) Ethier, Kurtz, Markov processes, 1985 ( mathematical points of view).

3 s Au(x) = x i (δ ij x j )D ij u + b i (x)d i u i,j=1 i=1 d=1: S d = {(x 1,..., x d ) R d i {1,..., d} x i 0; Au(x) = x(1 x)u (x) + b(x)u (x) x i 1} d=2: Au(x, y) = x(1 x)u xx + y(1 y)u yy 2xyu xy + b 1(x, y)u x + b 2(x, y)u y. The problem u t = Au arises as a continuous approximation of a Markov process i=1 (p 1(k),..., p d (k), 1 p 1(k) p d (k)) k N describing the frequency of (d+1) types of genetic character at the k-th generation of a population (Wright-Fischer model). Ewens, Mathematical Population Genetics, 1979 (geneticist points of view and motivations) Ethier, Kurtz, Markov processes, 1985 ( mathematical points of view).

4 C 0 -semigroups If X is a Banach space, A : D(A) X X a linear operator and x X we can consider the abstract Cauchy problem { u (t) = Au(t) t 0 (ACP) (1) u(0) = x. (A, D(A)) closed, D(A) = X λ > 0 (λi A) 1 = R(λ, A) λ > 0 (λi A) 1 1 λ ( ) Setting, for every t 0, T tx = u(t, x), it holds that: x D(A) u(, x) C 1 ([0, [, X ) s.t. t 0 u(t, x) D(A) and (ACP) T t L(X ), T t+s = T t T s, lim Ttx = x. t 0 + (T t) t 0 is the strongly continuous semigroup generated by (A, D(A)). Remark. If A is a differential operator, (*) is a a-priori estimate of the solution of the equation λu Au = f : λ > 0, u D(A) u X λu Au X. λ

5 C 0 -semigroups If X is a Banach space, A : D(A) X X a linear operator and x X we can consider the abstract Cauchy problem { u (t) = Au(t) t 0 (ACP) (1) u(0) = x. (A, D(A)) closed, D(A) = X λ > 0 (λi A) 1 = R(λ, A) λ > 0 (λi A) 1 1 λ ( ) Setting, for every t 0, T tx = u(t, x), it holds that: x D(A) u(, x) C 1 ([0, [, X ) s.t. t 0 u(t, x) D(A) and (ACP) T t L(X ), T t+s = T t T s, lim Ttx = x. t 0 + (T t) t 0 is the strongly continuous semigroup generated by (A, D(A)). Remark. If A is a differential operator, (*) is a a-priori estimate of the solution of the equation λu Au = f : λ > 0, u D(A) u X λu Au X. λ

6 Sectorial operators and analytic semigroups (A, D(A)) sectorial there exists ω R, M > 0 such that { λ C, Reλ > ω (λi A) 1 λ C, Reλ > ω (λi A) 1 M λ ( ) A closed sectorial operator with dense domain generates an analytic semigroup, i.e. the semigroup generated by A extends to a semigroup (T z) z Σδ where δ ]0, π/2[ and Σ δ = {z C Arg(z) < δ}, such that z T z is analytic in Σ 0,δ, lim z 0,z Σω,δ T zx = x per ogni δ < δ.

7 Agmon-Douglis-Niremberg estimates A(x, D) = N N a ij (x)d ij + b i (x)d i i,j=1 Ω R N bounded open set with C 2 -boundary, a ij, b i continuous on Ω, a ij = a ji and there exists ν > 0 such that i=1 x Ω ξ R N N i,j=1 a ij (x)ξ i ξ j ν ξ 2. If X = L p (Ω), 1 < p <, D(A) = W 2,p (Ω) W 1,p 0 (Ω): ω p, M p > 0 λ C, Reλ > ω p : u D(A) λ u p + λ 1 2 Du p + D 2 u p M p λu Au p. (A, D(A)) is a sectorial operator. Remark. Analogous estimates, due to Stewart, hold in continuous function spaces.

8 A d u(x) = x i (δ ij x j )D ij u + b i (x) D i u Setting: C(S d ) (Feller s theory). i,j=1 i=1 Q(x) = (x i (δ ij x j )) i,j=1,...,d det Q(x) = x 1 x d (1 x 1... x d ), If b i = 0: d=1: A 1u(x) = x(1 x)u (x) d=2: A 2u(x, y) = x(1 x)u xx + y(1 y)u yy 2xyu xy = ( ) 2 = x(1 x y) 2 u + y(1 x y) 2 u + xy x 2 y 2 x y u.

9 A d u(x) = x i (δ ij x j )D ij u + b i (x) D i u Setting: C(S d ) (Feller s theory). i,j=1 i=1 Q(x) = (x i (δ ij x j )) i,j=1,...,d det Q(x) = x 1 x d (1 x 1... x d ), If b i = 0: d=1: A 1u(x) = x(1 x)u (x) d=2: A 2u(x, y) = x(1 x)u xx + y(1 y)u yy 2xyu xy = ( ) 2 = x(1 x y) 2 u + y(1 x y) 2 u + xy x 2 y 2 x y u.

10 Generation results 1 (Ethier 1977, Ethier-Kurtz 1986) If b = (b 1,..., b d ) is a Lipschitz function and (b, detq) 0 on S, then (A d, C 2 (S)) generates a strongly continuous semigroup (T t) t 0 on C(S). Moreover T t(c k (S d )) C k (S d ), if b C k+2 (S d ) (k N). d = 1: b(0) 0, b(1) 0 d = 2: b 1(x, 0) 0, b 2(0, y) 0, b 1(x, 1 x) + b 2(x, 1 x) 0 2 (Feller 1954, Clement-Timmermans 1986) If d = 1, then D(A 1) = {u C 2 (]0, 1[) C([0, 1]) lim x(1 x)u (x) = 0}. x 0 +,1 3 (Shimakura, 1977, 1981, 1992) If b = 0, the eigenvalues of A d are λ m = m(m 1) 2, m N.

11 Generation results 1 (Ethier 1977, Ethier-Kurtz 1986) If b = (b 1,..., b d ) is a Lipschitz function and (b, detq) 0 on S, then (A d, C 2 (S)) generates a strongly continuous semigroup (T t) t 0 on C(S). Moreover T t(c k (S d )) C k (S d ), if b C k+2 (S d ) (k N). d = 1: b(0) 0, b(1) 0 d = 2: b 1(x, 0) 0, b 2(0, y) 0, b 1(x, 1 x) + b 2(x, 1 x) 0 2 (Feller 1954, Clement-Timmermans 1986) If d = 1, then D(A 1) = {u C 2 (]0, 1[) C([0, 1]) lim x(1 x)u (x) = 0}. x 0 +,1 3 (Shimakura, 1977, 1981, 1992) If b = 0, the eigenvalues of A d are λ m = m(m 1) 2, m N.

12 Generation results 1 (Ethier 1977, Ethier-Kurtz 1986) If b = (b 1,..., b d ) is a Lipschitz function and (b, detq) 0 on S, then (A d, C 2 (S)) generates a strongly continuous semigroup (T t) t 0 on C(S). Moreover T t(c k (S d )) C k (S d ), if b C k+2 (S d ) (k N). d = 1: b(0) 0, b(1) 0 d = 2: b 1(x, 0) 0, b 2(0, y) 0, b 1(x, 1 x) + b 2(x, 1 x) 0 2 (Feller 1954, Clement-Timmermans 1986) If d = 1, then D(A 1) = {u C 2 (]0, 1[) C([0, 1]) lim x(1 x)u (x) = 0}. x 0 +,1 3 (Shimakura, 1977, 1981, 1992) If b = 0, the eigenvalues of A d are λ m = m(m 1) 2, m N.

13 Regularity results 1 Metafune, Metafune-Campiti, 1998: (A 1, D(A 1)) generates an analytic semigroup. 2 Shimakura 1977, Cerrai-Clement 2001, Albanese-Campiti-Mangino 2007, Albanese-Mangino 2009: ( ) Au(x) = x i (δ ij x j )D ij u + (ω i ω j x i )D i u(x) ( ) i,j=1 i=1 where ω i ]0, + [ per ogni i = 0, 1,..., d. Then the semigroup (T (t)) t 0 generated by ( ) in C(S d ) is differentiable, i.e. for all f C(S d ) and t 0 > 0 the map t T (t)f is differentiable in t 0. - Sesquilinear Forms, Log-Sobolev inequalities. j=0

14 Regularity results 1 Metafune, Metafune-Campiti, 1998: (A 1, D(A 1)) generates an analytic semigroup. 2 Shimakura 1977, Cerrai-Clement 2001, Albanese-Campiti-Mangino 2007, Albanese-Mangino 2009: ( ) Au(x) = x i (δ ij x j )D ij u + (ω i ω j x i )D i u(x) ( ) i,j=1 i=1 where ω i ]0, + [ per ogni i = 0, 1,..., d. Then the semigroup (T (t)) t 0 generated by ( ) in C(S d ) is differentiable, i.e. for all f C(S d ) and t 0 > 0 the map t T (t)f is differentiable in t 0. - Sesquilinear Forms, Log-Sobolev inequalities. j=0

15 Albanese, Mangino: Analyticity of a class of degenerate evolution equations on the canonical simplex of R d arising from Fleming-Viot processes, JMAA 2011 Theorem A d u(x) = x i (δ ij x j ) x 2 i x j u(x), i,j=1 The closure of (A d, C 2 (S d )) generates an analytic semigroup in C(S d ).

16 Induction over d Statement: (A d, C 2 (S d )) satisfies the following properties. 1 it generates an analytic C 0 semigroup (T (t)) t 0 on C(S d ). 2 There exist C > 0 and R > 1 such that, for every λ C, Reλ > R, i = 1,..., d and u C(S d ), we have x i (1 x i ) xi [R(λ, A d )u] Sd C λ u Sd.

17 Induction over d Statement: (A d, C 2 (S d )) satisfies the following properties. 1 it generates an analytic C 0 semigroup (T (t)) t 0 on C(S d ). 2 There exist C > 0 and R > 1 such that, for every λ C, Reλ > R, i = 1,..., d and u C(S d ), we have x i (1 x i ) xi [R(λ, A d )u] Sd C λ u Sd.

18 Proposition Consider the differential operator B d u(x) = x i (δ ij x j ) x 2 i x j u(x), u C 2 ([0, 1] d ) i,j=1 1 The closure of (B d, C 2 ([0, 1] d )) generates an analytic semigroup (T (t)) t 0 in C([0, 1] d ). 2 There exists K > 0 such that for every t > 0, we have x i (1 x i ) xi (T (t)u) K max{ 1 t, 1} u, u C([0, 1] d ), 3 There exist C > 0 and R > 1 such that, for every λ C, Reλ > R, x i (1 x i ) xi (R(λ, B d )u) C λ u, u C([0, 1] d ).

19 1-dimensional case Proposition. The differential operator (A 1, D(A 1)) satisfies the following properties. (1) There exist ε > 0, C > 0 and D > 0 such that, for every 0 < ε < ε and u C([0, 1]) C 2 (]0, 1[) with A 1u C([0, 1]), we have x(1 x)u C u + Dε A1u. ε (2) There exists K > 0 such that for every t > 0, we have x(1 x)(t (t)u) K max{ 1 t, 1} u, u C([0, 1]), (3) There exist C > 0 and R > 1 such that, for every λ C, Reλ > R, x(1 x)(r(λ, A 1)u) C λ u, u C([0, 1]).

20 2-dimensional case B 2u(x, y) = x(1 x) 2 x u(x, y) + y(1 y) 2 y u(x, y), u C 2 ([0, 1] 2 ), B 1u(x) = x(1 x)u (x), x [0, 1], B 2v(y) = y(1 y)v (y), y [0, 1], D(B 1) = D(B 2) = {u C([0, 1]) C 2 (]0, 1[) lim x 0 +,1 x(1 x)u (x) = 0} (B i, D(B i )) generate a contractive analytic C 0 semigroup (S i (t)) t 0 on C([0, 1]), i = 1, 2.

21 Injective tensor product of semigroups The injective tensor product (S 1(t) ε S 2(t)) t 0 is also a contractive analytic C 0 semigroup on C([0, 1] 2 ) = C([0, 1]) ε C([0, 1]), generated by the closure of the operator ((B 1 I y ) + (I y B 2), D(B 1) D(B 2)), where I x and I y denote the identity map on C([0, 1]) with respect to the variables x and y respectively. Observe that B 2u = (B 1 I y )u + (I y B 2)u, u D(B 1) D(B 2), and that C 2 ([0, 1]) C 2 ([0, 1] is dense in D(B 1) D(B 2) with respect to the graph norm of B 2. Thus (B 2, C 2 ([0, 1] 2 )) = (B 1 I y + I y B 2, D(B 1) D(B 2)). and therefore the semigroup (T (t)) t 0 generated by (B 2, C 2 ([0, 1] 2 )) is exactly (S 1(t) ε S 2(t)) t 0.

22 Injective tensor product of semigroups The injective tensor product (S 1(t) ε S 2(t)) t 0 is also a contractive analytic C 0 semigroup on C([0, 1] 2 ) = C([0, 1]) ε C([0, 1]), generated by the closure of the operator ((B 1 I y ) + (I y B 2), D(B 1) D(B 2)), where I x and I y denote the identity map on C([0, 1]) with respect to the variables x and y respectively. Observe that B 2u = (B 1 I y )u + (I y B 2)u, u D(B 1) D(B 2), and that C 2 ([0, 1]) C 2 ([0, 1] is dense in D(B 1) D(B 2) with respect to the graph norm of B 2. Thus (B 2, C 2 ([0, 1] 2 )) = (B 1 I y + I y B 2, D(B 1) D(B 2)). and therefore the semigroup (T (t)) t 0 generated by (B 2, C 2 ([0, 1] 2 )) is exactly (S 1(t) ε S 2(t)) t 0.

23 Gradient estimates for the semigroup x(1 x) xs 1(t) L(C([0, 1])), x(1 x) xs 1(t) K max{t 1 2, 1}, (t > 0) ( x(1 x) xs 1(t)) ε S 2(t) L(C([0, 1] 2 ), ( x(1 x) xs 1(t)) ε S 2(t) K max{t 1 2, 1} The assertion follows by observing that for every u C([0, 1] 2 ) x(1 x) x(t (t)u) = (( x(1 x) xs 1(t)) ε S 2(t))(u),

24 Gradient estimates for the resolvent λ R, λ > ω: x(1 x)d ( + and hence, 0 ) e λt T (t)udt = x(1 x) x(r(λ, B)u) [0,1] 2 K u [0,1] 2 K λ u [0,1] 2. 0 e λt x(1 x) x(t (t)u)dt ( + 0 ) max{t 1/2, 1}e λt dt

25 Under preparation Proposition. A 2u(x, y) = x(1 x)u xx + y(1 y)u yy 2xyu xy + b 1(x, y)u x + b 2(x, y)u y. If b 1(0, y), b 2(x, 0), b 1(x, 1 x) + b 2(x, 1 x) are costant functions on [0, 1], then the closure of (A, C 2 (S 2)) generates an analytic semigroup in C(S 2).

Elliptic Operators with Unbounded Coefficients

Elliptic Operators with Unbounded Coefficients 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 Motivation Consider the Stochastic Differential

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

SEMIGROUP APPROACH FOR PARTIAL DIFFERENTIAL EQUATIONS OF EVOLUTION

SEMIGROUP APPROACH FOR PARTIAL DIFFERENTIAL EQUATIONS OF EVOLUTION SEMIGROUP APPROACH FOR PARTIAL DIFFERENTIAL EQUATIONS OF EVOLUTION Istanbul Kemerburgaz University Istanbul Analysis Seminars 24 October 2014 Sabanc University Karaköy Communication Center 1 2 3 4 5 u(x,

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

Explicit representation of the approximation of the solutions of some diffusion equations

Explicit representation of the approximation of the solutions of some diffusion equations Annals of the Tiberiu Popoviciu Seminar of Functional Equations, Approximation and Convexity ISSN 1584-4536, vol 14, 2016, pp. 17 30. Explicit representation of the approximation of the solutions of some

More information

Wentzell Boundary Conditions in the Nonsymmetric Case

Wentzell Boundary Conditions in the Nonsymmetric Case Math. Model. Nat. Phenom. Vol. 3, No. 1, 2008, pp. 143-147 Wentzell Boundary Conditions in the Nonsymmetric Case A. Favini a1, G. R. Goldstein b, J. A. Goldstein b and S. Romanelli c a Dipartimento di

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

Holomorphic functions which preserve holomorphic semigroups

Holomorphic functions which preserve holomorphic semigroups Holomorphic functions which preserve holomorphic semigroups University of Oxford London Mathematical Society Regional Meeting Birmingham, 15 September 2016 Heat equation u t = xu (x Ω R d, t 0), u(t, x)

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

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

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

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

Trotter s product formula for projections

Trotter s product formula for projections Trotter s product formula for projections Máté Matolcsi, Roman Shvydkoy February, 2002 Abstract The aim of this paper is to examine the convergence of Trotter s product formula when one of the C 0-semigroups

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

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

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

More information

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

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

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

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

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

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

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

On Fréchet algebras with the dominating norm property

On Fréchet algebras with the dominating norm property On Fréchet algebras with the dominating norm property Tomasz Ciaś Faculty of Mathematics and Computer Science Adam Mickiewicz University in Poznań Poland Banach Algebras and Applications Oulu, July 3 11,

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

Main topics and some repetition exercises for the course MMG511/MVE161 ODE and mathematical modeling in year Main topics in the course:

Main topics and some repetition exercises for the course MMG511/MVE161 ODE and mathematical modeling in year Main topics in the course: Main topics and some repetition exercises for the course MMG5/MVE6 ODE and mathematical modeling in year 04. Main topics in the course:. Banach fixed point principle. Picard- Lindelöf theorem. Lipschitz

More information

16 1 Basic Facts from Functional Analysis and Banach Lattices

16 1 Basic Facts from Functional Analysis and Banach Lattices 16 1 Basic Facts from Functional Analysis and Banach Lattices 1.2.3 Banach Steinhaus Theorem Another fundamental theorem of functional analysis is the Banach Steinhaus theorem, or the Uniform Boundedness

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

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

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

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

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

More information

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

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

The Dirichlet-to-Neumann operator

The Dirichlet-to-Neumann operator Lecture 8 The Dirichlet-to-Neumann operator The Dirichlet-to-Neumann operator plays an important role in the theory of inverse problems. In fact, from measurements of electrical currents at the surface

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

Appendix A Functional Analysis

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

More information

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

BOUNDARY VALUE PROBLEMS IN KREĬN SPACES. Branko Ćurgus Western Washington University, USA

BOUNDARY VALUE PROBLEMS IN KREĬN SPACES. Branko Ćurgus Western Washington University, USA GLASNIK MATEMATIČKI Vol. 35(55(2000, 45 58 BOUNDARY VALUE PROBLEMS IN KREĬN SPACES Branko Ćurgus Western Washington University, USA Dedicated to the memory of Branko Najman. Abstract. Three abstract boundary

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

Homework If the inverse T 1 of a closed linear operator exists, show that T 1 is a closed linear operator.

Homework If the inverse T 1 of a closed linear operator exists, show that T 1 is a closed linear operator. Homework 3 1 If the inverse T 1 of a closed linear operator exists, show that T 1 is a closed linear operator Solution: Assuming that the inverse of T were defined, then we will have to have that D(T 1

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

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

The first order quasi-linear PDEs

The first order quasi-linear PDEs Chapter 2 The first order quasi-linear PDEs The first order quasi-linear PDEs have the following general form: F (x, u, Du) = 0, (2.1) where x = (x 1, x 2,, x 3 ) R n, u = u(x), Du is the gradient of u.

More information

Chapter 3 Second Order Linear Equations

Chapter 3 Second Order Linear Equations Partial Differential Equations (Math 3303) A Ë@ Õæ Aë áöß @. X. @ 2015-2014 ú GA JË@ É Ë@ Chapter 3 Second Order Linear Equations Second-order partial differential equations for an known function u(x,

More information

1 Sectorial operators

1 Sectorial operators 1 1 Sectorial operators Definition 1.1 Let X and A : D(A) X X be a Banach space and a linear closed operator, respectively. If the relationships i) ρ(a) Σ φ = {λ C : arg λ < φ}, where φ (π/2, π); ii) R(λ,

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

Chapter 6 Inner product spaces

Chapter 6 Inner product spaces Chapter 6 Inner product spaces 6.1 Inner products and norms Definition 1 Let V be a vector space over F. An inner product on V is a function, : V V F such that the following conditions hold. x+z,y = x,y

More information

Two Posts to Fill On School Board

Two Posts to Fill On School Board Y Y 9 86 4 4 qz 86 x : ( ) z 7 854 Y x 4 z z x x 4 87 88 Y 5 x q x 8 Y 8 x x : 6 ; : 5 x ; 4 ( z ; ( ) ) x ; z 94 ; x 3 3 3 5 94 ; ; ; ; 3 x : 5 89 q ; ; x ; x ; ; x : ; ; ; ; ; ; 87 47% : () : / : 83

More information

ISEM Team-Lecce. holds for some c > 0 and all y Y. Assume T (t)y Y for all t 0 and T ( )y C(R +, Y ) for all y Y. For t 0 we define the operators

ISEM Team-Lecce. holds for some c > 0 and all y Y. Assume T (t)y Y for all t 0 and T ( )y C(R +, Y ) for all y Y. For t 0 we define the operators ISEM Tem-Lecce EXERCISE 3.. Let A generte the C -semigroup T ( ) on Bnch spce X. Let J : X E be n isomorphism to nother Bnch spce E, Y X be Bnch subspce which is equipped with norm Y such tht X c Y holds

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

Sectorial Forms and m-sectorial Operators

Sectorial Forms and m-sectorial Operators Technische Universität Berlin SEMINARARBEIT ZUM FACH FUNKTIONALANALYSIS Sectorial Forms and m-sectorial Operators Misagheh Khanalizadeh, Berlin, den 21.10.2013 Contents 1 Bounded Coercive Sesquilinear

More information

1.4 The Jacobian of a map

1.4 The Jacobian of a map 1.4 The Jacobian of a map Derivative of a differentiable map Let F : M n N m be a differentiable map between two C 1 manifolds. Given a point p M we define the derivative of F at p by df p df (p) : T p

More information

(1) u (t) = f(t, u(t)), 0 t a.

(1) u (t) = f(t, u(t)), 0 t a. I. Introduction 1. Ordinary Differential Equations. In most introductions to ordinary differential equations one learns a variety of methods for certain classes of equations, but the issues of existence

More information

Fact Sheet Functional Analysis

Fact Sheet Functional Analysis Fact Sheet Functional Analysis Literature: Hackbusch, W.: Theorie und Numerik elliptischer Differentialgleichungen. Teubner, 986. Knabner, P., Angermann, L.: Numerik partieller Differentialgleichungen.

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

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

Economics 204 Summer/Fall 2011 Lecture 5 Friday July 29, 2011

Economics 204 Summer/Fall 2011 Lecture 5 Friday July 29, 2011 Economics 204 Summer/Fall 2011 Lecture 5 Friday July 29, 2011 Section 2.6 (cont.) Properties of Real Functions Here we first study properties of functions from R to R, making use of the additional structure

More information

The spectrum of a self-adjoint operator is a compact subset of R

The spectrum of a self-adjoint operator is a compact subset of R The spectrum of a self-adjoint operator is a compact subset of R Jordan Bell jordan.bell@gmail.com Department of Mathematics, University of Toronto April 3, 2014 Abstract In these notes I prove that the

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

Mechanics of materials Lecture 4 Strain and deformation

Mechanics of materials Lecture 4 Strain and deformation Mechanics of materials Lecture 4 Strain and deformation Reijo Kouhia Tampere University of Technology Department of Mechanical Engineering and Industrial Design Wednesday 3 rd February, 206 of a continuum

More information

Optimization Theory. Linear Operators and Adjoints

Optimization Theory. Linear Operators and Adjoints Optimization Theory Linear Operators and Adjoints A transformation T. : X Y y Linear Operators y T( x), x X, yy is the image of x under T The domain of T on which T can be defined : D X The range of T

More information

PEAT SEISMOLOGY Lecture 2: Continuum mechanics

PEAT SEISMOLOGY Lecture 2: Continuum mechanics PEAT8002 - SEISMOLOGY Lecture 2: Continuum mechanics Nick Rawlinson Research School of Earth Sciences Australian National University Strain Strain is the formal description of the change in shape of a

More information

S t u 0 x u 0 x t u 0 D A. Moreover, for any u 0 D A, AS t u 0 x x u 0 x t u 0 x t H

S t u 0 x u 0 x t u 0 D A. Moreover, for any u 0 D A, AS t u 0 x x u 0 x t u 0 x t H Analytic Semigroups The operator A x on D A H 1 R H 0 R H is closed and densely defined and generates a strongly continuous semigroup of contractions on H, Moreover, for any u 0 D A, S t u 0 x u 0 x t

More information

Uniform polynomial stability of C 0 -Semigroups

Uniform polynomial stability of C 0 -Semigroups Uniform polynomial stability of C 0 -Semigroups LMDP - UMMISCO Departement of Mathematics Cadi Ayyad University Faculty of Sciences Semlalia Marrakech 14 February 2012 Outline 1 2 Uniform polynomial stability

More information

Second Order Elliptic PDE

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

More information

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

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

The Continuity of SDE With Respect to Initial Value in the Total Variation

The Continuity of SDE With Respect to Initial Value in the Total Variation Ξ44fflΞ5» ο ffi fi $ Vol.44, No.5 2015 9" ADVANCES IN MATHEMATICS(CHINA) Sep., 2015 doi: 10.11845/sxjz.2014024b The Continuity of SDE With Respect to Initial Value in the Total Variation PENG Xuhui (1.

More information

1 Definition and Basic Properties of Compa Operator

1 Definition and Basic Properties of Compa Operator 1 Definition and Basic Properties of Compa Operator 1.1 Let X be a infinite dimensional Banach space. Show that if A C(X ), A does not have bounded inverse. Proof. Denote the unit ball of X by B and the

More information

Functional Analysis. Martin Brokate. 1 Normed Spaces 2. 2 Hilbert Spaces The Principle of Uniform Boundedness 32

Functional Analysis. Martin Brokate. 1 Normed Spaces 2. 2 Hilbert Spaces The Principle of Uniform Boundedness 32 Functional Analysis Martin Brokate Contents 1 Normed Spaces 2 2 Hilbert Spaces 2 3 The Principle of Uniform Boundedness 32 4 Extension, Reflexivity, Separation 37 5 Compact subsets of C and L p 46 6 Weak

More information

WELL-POSEDNESS AND REGULARITY OF LINEAR HYPERBOLIC SYSTEMS WITH DYNAMIC BOUNDARY CONDITIONS

WELL-POSEDNESS AND REGULARITY OF LINEAR HYPERBOLIC SYSTEMS WITH DYNAMIC BOUNDARY CONDITIONS WELL-POSEDNESS AND REGULARITY OF LINEAR HYPERBOLIC SYSTEMS WITH DYNAMIC BOUNDARY CONDITIONS GILBERT PERALTA AND GEORG PROPST Abstract. We consider first order hyperbolic systems on an interval with dynamic

More information

COMPLETE METRIC SPACES AND THE CONTRACTION MAPPING THEOREM

COMPLETE METRIC SPACES AND THE CONTRACTION MAPPING THEOREM COMPLETE METRIC SPACES AND THE CONTRACTION MAPPING THEOREM A metric space (M, d) is a set M with a metric d(x, y), x, y M that has the properties d(x, y) = d(y, x), x, y M d(x, y) d(x, z) + d(z, y), x,

More information

Mathematical Methods - Lecture 9

Mathematical Methods - Lecture 9 Mathematical Methods - Lecture 9 Yuliya Tarabalka Inria Sophia-Antipolis Méditerranée, Titane team, http://www-sop.inria.fr/members/yuliya.tarabalka/ Tel.: +33 (0)4 92 38 77 09 email: yuliya.tarabalka@inria.fr

More information

Analytic Semigroups and Reaction-Diffusion Problems

Analytic Semigroups and Reaction-Diffusion Problems Analytic Semigroups and Reaction-Diffusion Problems Internet Seminar 24 25 Luca Lorenzi, Alessandra Lunardi, Giorgio Metafune, Diego Pallara February 16, 25 Contents 1 Sectorial operators and analytic

More information

DEGENERATE SECOND ORDER DIFFERENTIAL OPERATORS WITH GENERALIZED REFLECTING BARRIERS BOUNDARY CONDITIONS

DEGENERATE SECOND ORDER DIFFERENTIAL OPERATORS WITH GENERALIZED REFLECTING BARRIERS BOUNDARY CONDITIONS Dedicated to Professor Gheorghe Bucur on the occasion of his 70th birthday DEGENERATE SECOND ORDER DIFFERENTIAL OPERATORS WITH GENERALIZED REFLECTING BARRIERS BOUNDARY CONDITIONS FRANCESCO ALTOMARE GRAZIANA

More information

Spatial decay of rotating waves in parabolic systems

Spatial decay of rotating waves in parabolic systems Spatial decay of rotating waves in parabolic systems Nonlinear Waves, CRC 701, Bielefeld, June 19, 2013 Denny Otten Department of Mathematics Bielefeld University Germany June 19, 2013 CRC 701 Denny Otten

More information

Prove that this gives a bounded linear operator T : X l 1. (6p) Prove that T is a bounded linear operator T : l l and compute (5p)

Prove that this gives a bounded linear operator T : X l 1. (6p) Prove that T is a bounded linear operator T : l l and compute (5p) Uppsala Universitet Matematiska Institutionen Andreas Strömbergsson Prov i matematik Funktionalanalys Kurs: F3B, F4Sy, NVP 2006-03-17 Skrivtid: 9 14 Tillåtna hjälpmedel: Manuella skrivdon, Kreyszigs bok

More information

Ordinary Differential Equations II

Ordinary Differential Equations II Ordinary Differential Equations II February 23 2017 Separation of variables Wave eq. (PDE) 2 u t (t, x) = 2 u 2 c2 (t, x), x2 c > 0 constant. Describes small vibrations in a homogeneous string. u(t, x)

More information

Positive Perturbations of Dual and Integrated Semigroups

Positive Perturbations of Dual and Integrated Semigroups Positive Perturbations of Dual and Integrated Semigroups Horst R. Thieme Department of Mathematics Arizona State University Tempe, AZ 85287-184, USA Abstract Positive perturbations of generators of locally

More information

COMPACT OPERATORS. 1. Definitions

COMPACT OPERATORS. 1. Definitions COMPACT OPERATORS. Definitions S:defi An operator M : X Y, X, Y Banach, is compact if M(B X (0, )) is relatively compact, i.e. it has compact closure. We denote { E:kk (.) K(X, Y ) = M L(X, Y ), M compact

More information

Nonlinear Evolution Equations 1

Nonlinear Evolution Equations 1 Nonlinear Evolution Equations 1 John K. Hunter October 1996 1 c John K. Hunter 1996 Contents 1 Introduction 1 1.1 Evolution equations....................... 1 1.2 Blow up..............................

More information

MATH 205C: STATIONARY PHASE LEMMA

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

More information

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

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

More information

Asymptotic behavior of infinity harmonic functions near an isolated singularity

Asymptotic behavior of infinity harmonic functions near an isolated singularity Asymptotic behavior of infinity harmonic functions near an isolated singularity Ovidiu Savin, Changyou Wang, Yifeng Yu Abstract In this paper, we prove if n 2 x 0 is an isolated singularity of a nonegative

More information

Theory of PDE Homework 2

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

More information

ON THE WELL-POSEDNESS OF THE HEAT EQUATION ON UNBOUNDED DOMAINS. = ϕ(t), t [0, τ] u(0) = u 0,

ON THE WELL-POSEDNESS OF THE HEAT EQUATION ON UNBOUNDED DOMAINS. = ϕ(t), t [0, τ] u(0) = u 0, 24-Fez conference on Differential Equations and Mechanics Electronic Journal of Differential Equations, Conference 11, 24, pp. 23 32. ISSN: 172-6691. URL: http://ejde.math.txstate.edu or http://ejde.math.unt.edu

More information

Numerical Modelling in Geosciences. Lecture 6 Deformation

Numerical Modelling in Geosciences. Lecture 6 Deformation Numerical Modelling in Geosciences Lecture 6 Deformation Tensor Second-rank tensor stress ), strain ), strain rate ) Invariants quantities independent of the coordinate system): - First invariant trace:!!

More information

Geometry and the Kato square root problem

Geometry and the Kato square root problem Geometry and the Kato square root problem Lashi Bandara Centre for Mathematics and its Applications Australian National University 29 July 2014 Geometric Analysis Seminar Beijing International Center for

More information

' Liberty and Umou Ono and Inseparablo "

' Liberty and Umou Ono and Inseparablo 3 5? #< q 8 2 / / ) 9 ) 2 ) > < _ / ] > ) 2 ) ) 5 > x > [ < > < ) > _ ] ]? <

More information

ABOUT SOME TYPES OF BOUNDARY VALUE PROBLEMS WITH INTERFACES

ABOUT SOME TYPES OF BOUNDARY VALUE PROBLEMS WITH INTERFACES 13 Kragujevac J. Math. 3 27) 13 26. ABOUT SOME TYPES OF BOUNDARY VALUE PROBLEMS WITH INTERFACES Boško S. Jovanović University of Belgrade, Faculty of Mathematics, Studentski trg 16, 11 Belgrade, Serbia

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

Volterra Integral Equations of the First Kind with Jump Discontinuous Kernels

Volterra Integral Equations of the First Kind with Jump Discontinuous Kernels Volterra Integral Equations of the First Kind with Jump Discontinuous Kernels Denis Sidorov Energy Systems Institute, Russian Academy of Sciences e-mail: contact.dns@gmail.com INV Follow-up Meeting Isaac

More information

Semigroups. Shlomo Sternberg. September 23, 2014

Semigroups. Shlomo Sternberg. September 23, 2014 2121407 Semigroups. September 23, 2014 Reminder: No class this Thursday. The semi-group generated by an operator In today s lecture I want to discuss the semi-group generated by an operator A, that is

More information

Introduction to Aspects of Multiscale Modeling as Applied to Porous Media

Introduction to Aspects of Multiscale Modeling as Applied to Porous Media Introduction to Aspects of Multiscale Modeling as Applied to Porous Media Part III Todd Arbogast Department of Mathematics and Center for Subsurface Modeling, Institute for Computational Engineering and

More information

Geometric PDE and The Magic of Maximum Principles. Alexandrov s Theorem

Geometric PDE and The Magic of Maximum Principles. Alexandrov s Theorem Geometric PDE and The Magic of Maximum Principles Alexandrov s Theorem John McCuan December 12, 2013 Outline 1. Young s PDE 2. Geometric Interpretation 3. Maximum and Comparison Principles 4. Alexandrov

More information

THE PERRON PROBLEM FOR C-SEMIGROUPS

THE PERRON PROBLEM FOR C-SEMIGROUPS Math. J. Okayama Univ. 46 (24), 141 151 THE PERRON PROBLEM FOR C-SEMIGROUPS Petre PREDA, Alin POGAN and Ciprian PREDA Abstract. Characterizations of Perron-type for the exponential stability of exponentially

More information

Generalized Lax-Milgram theorem in Banach spaces and its application to the mathematical fluid mechanics.

Generalized Lax-Milgram theorem in Banach spaces and its application to the mathematical fluid mechanics. Second Italian-Japanese Workshop GEOMETRIC PROPERTIES FOR PARABOLIC AND ELLIPTIC PDE s Cortona, Italy, June 2-24, 211 Generalized Lax-Milgram theorem in Banach spaces and its application to the mathematical

More information

Sobolev Spaces. Chapter Hölder spaces

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

More information

Maxima and Minima. (a, b) of R if

Maxima and Minima. (a, b) of R if Maxima and Minima Definition Let R be any region on the xy-plane, a function f (x, y) attains its absolute or global, maximum value M on R at the point (a, b) of R if (i) f (x, y) M for all points (x,

More information

Quadratic Stability of Dynamical Systems. Raktim Bhattacharya Aerospace Engineering, Texas A&M University

Quadratic Stability of Dynamical Systems. Raktim Bhattacharya Aerospace Engineering, Texas A&M University .. Quadratic Stability of Dynamical Systems Raktim Bhattacharya Aerospace Engineering, Texas A&M University Quadratic Lyapunov Functions Quadratic Stability Dynamical system is quadratically stable if

More information

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

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

More information