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Journal of Operators

Volume 2013 (2013), Article ID 562963, 17 pages

http://dx.doi.org/10.1155/2013/562963

## A Survey of Some Topics Related to Differential Operators

Université de Lorraine, Institut Elie Cartan de Nancy, BP 239, 54506 Vandoeuvre-les-Nancy Cedex, France

Received 26 March 2013; Revised 2 October 2013; Accepted 4 October 2013

Academic Editor: Qingkai Kong

Copyright © 2013 Denise Huet. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

#### Abstract

This paper is the result of investigations suggested by recent publications and completes the work of Huet, 2010. The topics, which are dealt with, concern some spaces of functions and properties of solutions of linear and nonlinear, stationary and evolution differential equations, namely, existence, spectral properties, resonances, singular perturbations, boundary layers, and inertial manifolds. They are presented in the alphabetical order. The aim of this document and of Huet, 2010, is to be a useful reference for (young) researchers in mathematics and applied sciences.

#### 1. Introduction

The article is divided into several sections entitled: Birman-Schwinger operators; BMO spaces; Bounded variation (functions of); Discrete energy; Dissipative operators; Dynamical systems; Equal- area condition; Inertial manifolds; Mathieu-Hill type equations; Memory (equations with); Nodes, Nodal; Resonances. The development of each entry includes indications on history, definitions, an overview of main results, examples, and applications but is, of course, nonexhaustive. Complements will be found in the references. A prepublication of some entries is presented in Huet [1].

#### 2. Birman-Schwinger Operator

*Definition 1. *Consider the Schrödinger operator
acting on , , where is a real-valued continuous function defined on which is nonnegative and tends to zero, sufficiently fast, as and is a small negative coupling constant. The operator is self-adjoint and its spectrum is . The *Birman-Schwinger* operator associated with (1) is the operator
where is the resolvent of in . For each , is self-adjoint and compact (cf. Arazy and Zelenko [2]).

*Application*. In [2], the authors consider the decomposition , where is a finite rank operator and an Hilbert-Schmidt operator whose norm is uniformly bounded with respect to for some . An asymptotic expansion of the bottom virtual eigenvalue of , as tends to zero, is deduced from this decomposition: if is odd, it is of power type, while, when is even, it involves the log function. Asymptotic estimates are obtained, as , for the nonbottom virtual eigenvalues of , , where if is odd and if is even. If is odd, is a meromorphic operator function, and the leading terms of the asymptotic estimates of are of power type. An algorithm, based on the Puiseux-Newton diagram (cf. Baumgärtel [3]), is proposed for an evaluation of the leading coefficients of these estimates. If d is even, two-sided estimates are obtained for eigenvalues with an exponential rate of decay; the rest of the eigenvalues have a power rate of decay. Estimates of Lieb-Thirring type are obtained for groups of eigenvalues which have the same rate of decay, when is odd or even.

#### 3. BMO Spaces

##### 3.1. BMO and Related Spaces

*Definition 2. *Let be the supremum over all cubes with edges parallel to the coordinate axes, the sidelength of , and the mean value of over . The John-Nirenberg’s space (cf. John and Nirenberg [4]) is the space of locally integrable complex-valued functions defined on , such that
The space of functions of bounded mean oscillation, modulo constants, equipped with the above norm, is a Banach space.

*Definition 3 (real Hardy space ). *A function if and only if
where , , each function is supported on a ball and has integral zero, and . Functions that satisfy the above properties are called 1-atom (cf. Stein, [5]). With the norm
where the inf is taken on all decompositions of of the form (4), is a Banach space. In Fefferman and Stein [6, Theorem 2], it is proved that the dual of is . For definitions and properties of Hardy-spaces , see [6].

Related spaces are presented in [7].

##### 3.2. BMO Nonlinearity (cf. Byun and Wang [8])

Let be a nonlinear, real valued, function on . For and , denotes the open ball of radius centered at . Set and define the function by

*Definition 4 ( -BMO condition). *The function satisfies the

*-BMO condition*if

*Definition 5 (Reifenberg domain). *A bounded open set in is *-Reifenberg flat* if, for every and every , there exists a coordinate system (which can depend on and ) so that is the origin in this coordinate system and that
(cf. [9]).

*Applications*. (i) Let be a bounded, open subset of , , , is a vector field measurable in for almost every and continuous in for each . In [8], the authors consider the nonlinear boundary value problem
The following conditions are imposed on :
for all and almost every ,
for all and almost , and
for some positive constants , , and . Then it is proved that there exists such that, if a satisfies the -BMO condition and is -Reifenberg flat, the weak solution to (10) belongs to with the estimate
where is independent of and .

(ii) In [9], S-S Byun extends the previous results to Orlicz spaces. He recalls the following definitions.

*Definition 6. *A positive function defined on is called a Young function if it is increasing, convex and satisfies

*Definition 7. *One says that the Young function if it satisfies the following conditions:
for some numbers .

*Definition 8. *Let be a Young function. The *Orlicz space* is the linear space of all measurable functions satisfying
Equipped with the norm
is a Banach space.

The following result is proved in [9]: let be a Young function. There exist a small and a positive constant such that, if the nonlinearity satisfies (11), (12), (13), and (8), if satisfies (9), and if , then the unique weak solution to (10) satisfies , with the estimate

*Remark 9. *If and inequality (19) reduces to only (14).

#### 4. (Functions of) Bounded Variation

The notion of functions of bounded variation is closely related to the notion of *measure* and the following usual definitions are useful.

##### 4.1. Measures

*Definition 10. *Let be an open subset of , and [resp., ] the space of continuous functions [resp., ] with compact support in .(i)A measure on is a linear functional
that is continuous; in the following sense, for all compact in , there exists a constant such that
for all whose support is contained in . We write . In [10], Schwartz introduces a topology on and is continuous on this topological space.(ii) is said to be *bounded* on if, in (21), the constant is independent of . The space of bounded measures on is denoted by .(iii)The conjugate of is given by
(iv) is called *real* if , for all .(v) is called positive if , for all .

*Definition 11 (absolute value of a measure). *If is a complex or real measure, its absolute value, denoted by , is the map

*Definition 12 (total variation of a positive bounded measure). *Let be a *positive, bounded measure* on . Its total variation, denoted by or , is

##### 4.2. Space BV or BV

Let be an interval in . The following alternative definitions are well known. A function is of bounded variation:(i)if it can be expressed in the form , where are nondecreasing bounded functions,(ii)if the interval is divided up by points then, there exists a constant , independent of the mode of division, such that and the upper bound of the sum (26) is called the total variation of on and is denoted by . For these definitions, see Titchmarsh [11, page 355] and Riesz and Sz-Nagy [12, page 10].

We have also the following proposition: let . Then defines a distribution . In Schwartz [10, page 53] it is proved that, in order for the derivative of to be a measure, it is necessary and sufficient that is of bounded variation on every finite interval.

##### 4.3. Space BV or BV

Let be an open set in . The following definitions are equivalent (cf. Brezis [13, page 153]).

A function is of bounded variation(i)if all first derivatives of , in the distributional sense, that is, in , are bounded measures,(ii)if there exists a constant such that (iii)if there exists a constant such that for all open set and all with . Moreover, in (27) and (28) we can take . Here , and is the distributional gradient of .

We have also the following proposition: a function is of bounded variation if its first distributional derivatives are bounded measures. Then, the gradient is a bounded, vector-valued measure whose *absolute value* is the map
where and is a bounded positive measure. The total variation of is
(cf. F. Demengel and G. Demengel [14, page 303]).

##### 4.4. Space BV

This section is already presented in [7]. Let be an open subset of with a smooth boundary. A function has a bounded variation, that is, , if , in the distributional sense, is a vector-valued Radon measure of finite total mass. Let * be a *BV*-seminorm*. In Dávila [15], the following property of is proved: there exists a positive constant , which depends on , such that, for every family of nonnegative radial mollifiers satisfying
we have

##### 4.5. Application

In [16], B. Merlet shows, by means of the above property of , that, if , there exists a lifting of (i.e., , for all ) such that .

#### 5. Discrete Energy

Let , be a set of points on the unit-sphere .

##### 5.1. Discrete Energy of

Different discrete energies are associated with . Let , .

*Definition 13. *The Coulomb [resp., logarithmic] energy associated with is
[resp., ].

*Definition 14. *More generally, the -energy associated with is

*Remark 15. *We have

*Remark 16. * is the energy of the points , on the surface of the sphere, interacting through a potential (cf. Rakhmanov et al. [17]).

The article [17] is devoted to extremal energy for :
Bounds for , and explicit formula for points on that yields good estimates for are obtained. The authors point out important applications of the determination of to geometry, chemistry, physics, and crystallography and give references for the history of related researches.

##### 5.2. A More General Discrete Energy-Like Function on the Unit Sphere

In [18], Cheviakov et al. introduce the following definition.

*Definition 17. *The discrete energy-like function associated with is

*Application.* In [18], is related to the mean first passage time (MFPT) for a Brownian particle in the unit ball in that contains small locally circular absorbing windows on its boundary . Set . The function is solution to the Dirichlet-Neumann problem:
where is a diffusivity coefficient. The authors obtain three-term asymptotic expansions for , for the average MFPT , and for the principal eigenvalue of the Laplacian associated with the boundary conditions (38), when the area , as , and , . For instance, when the windows have common radius , they obtain
Moreover, is minimized and the corresponding is maximized at the configuration that minimizes . The optimum arrangements that minimize are numerically computed by different methods.

#### 6. Dissipative Operators

I restrict myself to definitions (cf. Pazy [19]). Let be a Banach space whose norm is denoted by , its dual, and . The value of at is denoted by .

*Definition 18. *For , we define the *duality set* by

*Definition 19. *A linear operator , in , with domain , is *dissipative* if, for every , there exists such that or, equivalently, if for all and . A dissipative operator is called *-dissipative* if, for all , the operator is surjective.

The *Lumer-Phillips Theorem* states that a densely defined operator in is the generator of a -semigroup (i.e., ) of contractions if and only if it is -dissipative (cf. [19]). I recall that the domain of the infinitesimal generator of is
and, for any ,

#### 7. Dynamical Systems

In this section, I restrict myself to several definitions and examples of dynamical systems and also definitions and some properties of limit and invariant sets. More investigations into this large topic are in preparation.

Different definitions of dynamical systems are given in the literature.

##### 7.1. Definitions

###### 7.1.1. General Definitions

In (2011), Kloeden and Rasmussen give, in [20], the general definitions:

let [resp., ], , that is, [resp., ] and a *metric space*.

*Definition 20. *A *dynamical system* is a *continuous* map which satisfies the initial value condition
and the group property

When the dynamical system is called *continuous* and when the dynamical system is called *discrete*.

*Definition 21. *A *semidynamical system* is a *continuous* map which satisfies the initial value condition
and the semigroup property

When [resp., ] the semidynamical system is called continuous [resp., discrete].

###### 7.1.2. “Classical” Dynamical Systems

Let be a *Banach space*. In 1969, Hale [21] gives the following definition.

*Definition 22. **A classical dynamical system* on is a continuous function which satisfies
for all and .

*Remark 23. *In Definition 22, the mapping is a continuous semidynamical system in terms of Definition 21.

###### 7.1.3. “Abstract” Dynamical System

In 1991, Haraux [22] defines *abstract dynamical systems* in a *complete metric space * in the following way.

*Definition 24. *An abstract dynamical system in is a family of mappings on which satisfy the following properties:(i)for each , is continuous,(ii),(iii),(iv)for each , is continuous.

*Remark 25. *In Definition 24, the mapping satisfies conditions (45) and (46) but it is only *separately* continuous. Therefore it is not a semidynamical system in terms of Definition 21.

###### 7.1.4. Dafermos Definition

In [23, Definition 4.1], Dafermos gives the following definition in a *metric space *.

*Definition 26. *A Dafermos dynamical system in is a map which satisfies the initial condition
the semigroup property
and the continuity condition in , for all .

*Remark 27. *In the previous definitions the space [resp. , ] is called the *phase space*, and the set
is called the *positive orbit* or *trajectory* through [resp., , ].

##### 7.2. Examples

###### 7.2.1. Continuous (Semi-)Dynamical Systems

*Example 28 (cf. [21, Example 1]). *Let be a continuous function and . Consider the autonomous differential equation
with the initial condition
If there exists a unique solution of (51) and (52) which depends continuously upon , then the mapping
is a continuous semidynamical system on (Definitions 21 and 22).

*Example 29 (cf. [20, Example 1.6]). *Let be the Banach space of bounded continuous functions , under the usual norm . Let and a continuous function and suppose that there exists a unique solution of *the autonomous delay differential equation*
with the condition
Then
is a continuous semidynamical system on .

*Example 30 (see cf. [22, page 12]). *Let be a real Banach space, a *-dissipative operator* with dense domain in (cf. Section 5), the semigroup of contractions generated by , and a Lipschitzian function on the bounded sets of . Let be the unique maximal solution of
Set . Let such that for all and , for all , . For , is solution of (57) for . Set and denote by the distance induced on by the norm in . Then is an abstract dynamical system (Definition 24) on .

*Example 31. *Dafermos dynamical systems are adapted to equations of linear viscoelasticity. See Section 10.

*Example 32 (see cf. [20]). *Let be a *metric space* and be a *continuous* function. By iteration, , for all , , is well defined. The mapping
is a *discrete semidynamical system* (Definition 21). Now, suppose is an homeomorphism; that is, it is continuous and invertible with continuous inverse. Then, the mapping defined by (58) can be extended to by
and is a *discrete dynamical system*.

###### 7.2.2. Discrete-Time Dynamical Systems and Fractals

What is known as a *discrete time dynamical system* in Pesin and Climenhaga [24] is related to a map from a set to itself. Let be *any set* and a map . By iteration, is well defined for every and we have the *semigroup property*:
for any integer .

*Definition 33. *Let . The sequence of points , is called the *trajectory* or *orbit* of .

###### 7.2.3. Examples with Chaotic Behavior

*Example 34 (the Cantor set). *Consider, in , the intervals , , and and the map defined by on and on . The range of is and does not lie in its domain of definition. The domain of definition of is , that is, the union of the intervals:
obtained by removing the open middle third of each interval and and so on. The domain on which every iterate is defined is exactly the Cantor set (cf. Figure 1).

*Example 35 (the Sierpinski triangle (or gasket)). *An equilateral triangle is divided into four smaller triangles, each similar to the first and congruent to each other. Then, the middle triangle is removed, and the iterating procedure is iterated on the remaining three, and so on. The fractal obtained as the limit of this procedure is the Sierpinki triangle (cf. Figure 2). With this procedure is associated the following algorithm. If , and only in this case, it is possible to define a function such that for every (cf. Schroeder [25] which calls this procedure “Sir Pinski game”).

The Cantor set and the Sierpinski triangle are examples of fractals (cf. [26, 27]).

##### 7.3. Limit and Invariant Sets

*Definition 36 (see cf. [20]). *Let be a dynamical system in a metric space . The -*limit set* [resp., -*limit set*] of a point is defined by
In the case of a semidynamical system () the notion of a -limit set is not defined. In the same way, and -limit sets of a subspace are defined by (62) where is replaced by .

*Remark 37. *The and -limit sets may be defined as follows:

*Remark 38. *Similar definitions are valid for classical and abstract dynamical systems.

*Definition 39. *Let be a semidynamical system on the *metric space* (Definition 21). A subset is called *invariant* under if

It is called positively [resp., negatively] invariant if
In the case of *discrete-time dynamical system* and of Example 32, invariance is equivalent to .

*Properties of **-Limit and Invariant Sets.* Let be a *metric space*, a semidynamical system on , and . If the trajectory through is *precompact*, then has the following properties:
If , does not need to be connected (cf. [20, Exercise 1.10]).

In the case of an abstract dynamical system , on a *complete metric space*, previous results hold with , for , if is *relatively compact* in (see [28, page 122]). But in a complete metric space a subset is relatively compact if and only if it is precompact (cf. [29]).

#### 8. Equal-Area Condition

Equal-area type conditions appear, as sufficient or necessary conditions, in the formation of layers (internal or superficial) in stationary solutions to various singularly perturbed reaction-diffusion systems. In the recent works do Nascimento [30], Crema and do Nascimento [31], and do Nascimento and de Moura [32], the authors prove the necessity of suitable equal-area condition for the formation of internal or (and) superficial transition layers in this type of problems.

*Example 40. *A simple particular case of problems studied in [30] is the elliptic boundary value problem
where is a smooth domain in , , such that there exist , with .

Let be a smooth -dimensional compact manifold without boundary. It is proved that, if (67) has a family of solutions which develop an *internal* transition layer with interface connecting the states to , then, necessarily, the simple *equal-area condition*
is satisfied.

*Example 41. *In [31], the following stationary system is considered:
where is a smooth domain in , , , , , and are sufficiently smooth -valued functions, and .

Let be an open connected set in , be an -dimensional compact connected orientable manifold whose boundary is such that is an -dimensional submanifold of . The authors give a definition of a family of *internal* transition layer solutions to (69) in with interface , depending on two functions , on . They show that, for such a family, there exists [resp., ] such that [resp., ] on compact sets of [resp., in ]. They also prove that, if a family of internal transition layer solutions to (69) exists, then on and necessarily the *equal-area condition*
is satisfied. Several concrete applications of these results are presented in the paper.

*Example 42. *In [32], is a bounded domain in , , with boundary , is a -dimensional surface with a boundary which is assumed to be a -dimensional compact surface without boundary with , and intersects transversally. The authors define a family of solutions , , to the elliptic boundary value problem:
which develops *internal and superficial* transition layers, depending on some smooth functions , , with interfaces and , respectively.

Here , , , and are of class and is the exterior normal vector field on . It is proved that the *equal-area conditions*
are necessary for the existence of such solutions.

#### 9. Inertial Manifolds

##### 9.1. Setup

Let be a Hilbert space and the semigroup associated with an evolution equation of the form with the initial condition , where is a linear operator and a nonlinear one. When an inertial manifold exists for problem (73), the restriction of (73) to reduces to a finite dimensional ordinary differential equation (80), which is an exact copy of the initial system (cf. [33]). The manifold is usually viewed as the graph of a suitable smooth function , where is an orthogonal projection on with finite-dimensional range, and .

After some definitions, the following sections will be devoted to the existence of an inertial manifold for (73) and the presentation of results on the existence and the behavior of inertial manifolds for phase-field equations.

##### 9.2. Definitions

Let be a metric space and a continuous semigroup on .

*Definition 43. *A set is an inertial manifold for if(i) is a finite-dimensional Lipschitz manifold in ,(ii) is of class ,(iii) is positively invariant under the flow that is, , for all ,(iv) is exponentially attracting; that is, there exists a constant such that, for any , there exists a constant such that
where is the Hausdorff semidistance (see Section 1.8 in Huet [7]); compare Bonfoh et al. [34, page 164].

*Definition 44 (see Temam [33]). *Let and an open subset of such that ; is said to be *absorbing* for in if, for any bounded set in , there exists such that , for all . In particular, if is bounded, , for .

*Remark 45. *Similar definitions were given in [33] and Luskin and Sell [35], in the case of Hilbert spaces. In [33] the smoothness of and the continuity of the semigroup are not parts of the definition of an inertial manifold.

##### 9.3. Existence of an Inertial Manifold for Problem (73) (cf. [33])

In a Hilbert space whose norm is denoted by , consider problem (73) where is an unbounded linear operator in , strictly positive (i.e., such that for all in the domain of ), and self-adjoint. It is assumed that is compact. Thanks to assumptions on , it is possible to define its powers defined on , for all . When see also Huet [36], Kato [37], Schechter [38]. For , we denote by the ball, in , with center of radius ; that is, It is assumed that satisfies the following properties.

. There exists such that is Lipschitz on the bounded sets of with values in and

. If problem (73) has a unique solution , for all , and the map is continuous from into itself, for all .

. The semigroup possesses an absorbing set such that(1), for all ,(2)the -limit set of is the maximal attractor for in .(3) is chosen such that is included in the ball of (cf. (75)).

###### 9.3.1. The Prepared Equation

The prepared equation is equivalent to the original one for large. Let be a function such that The aim of the prepared equation is to avoid the difficulties related to the behavior of the nonlinear term for large values of . Let , , and The prepared equation associated with (73) is of the form where is chosen in . Let be the semigroup associated with (80). The following is assumed.

. The ball is absorbing for .

Thanks to the assumptions on , is a bounded operator and a Lipschitz mapping from into . In particular where is a constant which depends on .

###### 9.3.2. Space

Let , and defined in . Under the assumptions of , there exists an orthonormal basis in , where is the eigenvector of corresponding to the eigenvalue , with , as . Set where is the orthogonal projector, in , onto the space spanned by . The projections and commute with , for all .

*Definition 46. *Let be the space defined by
where is a Lipschitz function with , that satisfies
for all , .

*Remark 47. * is finite dimensional.

is a complete metric space for the distance

###### 9.3.3. Construction of a Map

Let , . Thanks to assumptions on and , the problem has a unique solution . Then, the problem has a unique solution . Therefore (cf. Lemma 2.3, page 420 in [33]). The mapping is defined by with Let denote the right-hand side of (87). Then

###### 9.3.4. Existence of an Inertial Manifold for (73) or (80)

Under assumptions , if it is possible to find , , and , such that is a strict contraction of into itself, that is, with , for all , then, has a fixed point , and the graph of is an inertial manifold for (73) or (80).

##### 9.4. Inertial Manifolds for Phase-Field Equations

*Example 48 (cf. Bonfoh [39]). *Set , , and and denote by the operator . Consider the phase-field equations ,
in , with the boundary conditions
and the initial conditions
where , , and satisfies the conditions
The limit problem () is given by (90) where :
the boundary conditions (91), and the initial condition . Set
Let denote the usual norm in and set , . The norms are equivalent to the usual Sobolev norms on . Several Banach spaces whose norms depend on are introduced. In particular
Under additional assumptions on the regularity of the data, there exist semigroups , global attractors , and exponential attractors for problems , (cf. Chepyzhov and Vishik [40]). It is proved that and converge as , to some lifting of and , in (cf. (96)). Moreover, there exists , independent of , such that
are bounded absorbing sets for in and in , respectively, where
and there exists such that , , for . In particular
Following the classical method presented in the above section for (73), the authors show the existence of an inertial manifold to problem and of a family of inertial manifolds to problems such that
Let defined by
Moreover, it is proved that(1)for all small enough, is lower and upper semicontinuous at , with respect to the metric induced by the norm,(2) converges, in a suitable sense, to with respect to the metric induced by the norm, as goes to 0.

#### 10. Mathieu-Hill Type Equations

##### 10.1. Mathieu and Hill Equations

The real Mathieu [resp., Hill] equation has the form where and are constants, where is any smooth periodic function of period 1 with mean (see Coddington and Levinson [41] and Wang and Guo [42]). Physical problems leading to Mathieu or Hill equations often require solutions with periodicity, called oscillatory solutions. Therefore, to find conditions on the data for which the above equations have a fundamental system of periodic solutions is a central problem.

##### 10.2. Its Equation

In [43], A. R. Its considers the Schrödinger equation on the positive semiaxis where is a smooth periodic function, with period and mean , is a real number, and the parameters satisfy the relations and (cf. Figure 3).

He proves that (104) has oscillatory solutions when . If , the solutions are oscillatory or not. In all cases, asymptotic formulas for the solutions are stated, as . His method is based on a transformation which leads to a Hill-type equation and Floquet functions.

##### 10.3. Method of Diagonalisation

In [44], Bodine and Lutz investigate (104) by a general method of diagonalization with a -regularity for . Set Let be the eigenvalues of a suitable matrix which depends on , , , and , and the diagonal matrix . The matrix is a crucial tool in the diagonalizable method used by the authors. When , three cases are studied separately as belongs to , or as it does not belong to or as it is equal to . In each case, very sharp asymptotic formulas are obtained for a fundamental system of solutions to (104), as . In particular, when , a logarithmic term appears in the formulas. For instance, when the following formulas are obtained: where are scalar valued, bounded, continuous, periodic functions with period 1 which are recursively calculated and is a suitable number. This logarithmic term is missing in Its formulas.

#### 11. (Equations with) Memory

Equations with memory are differential equations which are influenced by the past of one or more variables. In this section, I restrict myself to a few examples. I present the equation with memory studied by Dafermos [45] in the context of linear viscoelasticity and examples of singularly perturbed equations with memory.

##### 11.1. Dafermos Results

*Definition 49 (cf. Coleman and Noll [46]). *A function is called an *influence function* if(i) is defined for , ,(ii)there exists such that , monotonically for large .The function is said to be of order .

For example, is an influence function for and ;