FACTORIZATION OF SECOND-ORDER STRICTLY HYPERBOLIC OPERATORS WITH LOGARITHMIC SLOW SCALE COEFFICIENTS AND GENERALIZED MICROLOCAL APPROXIMATIONS

Size: px
Start display at page:

Download "FACTORIZATION OF SECOND-ORDER STRICTLY HYPERBOLIC OPERATORS WITH LOGARITHMIC SLOW SCALE COEFFICIENTS AND GENERALIZED MICROLOCAL APPROXIMATIONS"

Transcription

1 Electronic Journal of Differential Equations, Vol , No. 42, pp. 49. ISSN: URL: or FACTORIZATION OF SECOND-ORDER STRICTLY HYPERBOLIC OPERATORS WITH LOGARITHMIC SLOW SCALE COEFFICIENTS AND GENERALIZED MICROLOCAL APPROXIMATIONS MARTINA GLOGOWATZ Communicated by Ludmila Pulkina Abstract. We give a factorization procedure for a strictly hyperbolic partial differential operator of second order with logarithmic slow scale coefficients. From this we can microlocally diagonalize the full wave operator which results in a coupled system of two first-order pseudodifferential equations in a microlocal sense. Under the assumption that the full wave equation is microlocal regular in a fixed domain of the phase space, we can approximate the problem by two one-way wave equations where a dissipative term is added to suppress singularities outside the given domain. We obtain well-posedness of the corresponding Cauchy problem for the approximated one-way wave equation with a dissipative term. Contents. Basic notions 2 2. Pseudodifferential calculus Generalized point values of a generalized symbol Asymptotic Expansion Composition and Adjoint of Pseudodifferential Operators 8 3. Governing equation in the Colombeau setting Derivation of the inhomogeneous wave equation Time extrapolation of the wave field 3.3. Depth evolution processes 4. Ellipticity of pseudodifferential operators 4.. Ellipticity 4.2. Strong ellipticity Construction of a parametrix 9 5. A factorization procedure for the generalized strictly hyperbolic wave operator Technical Preliminaries Factorization procedure 25 2 Mathematics Subject Classification. 35S5, 46F3. Key words and phrases. Hyperbolic equations and systems; algebras of generalized functions. c 28 Texas State University. Submitted January 24, 27. Published February 6, 28.

2 2 M. GLOGOWATZ EJDE-28/42 6. Generalized wave front set Generalized Microlocal Analysis 3 7. Microlocal decomposition of the wave equation Approximated first-order wave equations Requirements on the damping operator 4 9. Well-posedness of the approximated first-order equations 42 Acknowledgments 47 References 47. Basic notions In this section we specify the basic notions that will be needed for our constructions. As the problem is treated within the framework of Colombeau algebras we refer to the literature [6, 24, 23, 5, 9, 8] for a systematic treatment of this field. One of the main objects in our setting are Colombeau generalized functions based on G L 2 which were first introduced in [2]. The elements in this algebra are given by equivalence classes u := [u,] ] of nets of regular functions u in the Sobolev space H = k Z H k satisfying certain asymptotic seminorm estimates. More precisely, we denote by M H the nets of moderate growth whose elements are characterized by the property α N n N N : α u L 2 R n = O N as. Negligible nets will be denoted by N H and are nets in M H whose elements satisfy the following additional condition q N : u L 2 R n = O q as. Then the algebra of generalized functions based on L 2 -norm estimates is defined as the factor space G H = M H /N H. By abuse of notation, we continue to write G L 2R n for G H. For simplicity, we shall also use the notation u instead of u,] throughout the paper. Using [2, Theorem 2.7], we first note that the distributions H = k Z H k are linearly embedded in G L 2R n by convolution with a mollifier ϕ x = n ϕ x where ϕ SR n is a Schwartz function such that ϕx dx =, x α ϕx dx = for all α N n, α.. Further, by the same result, H R n is embedded as a subalgebra of G L 2R n. As different growth types are crucial in regularity theory we introduce the set of logarithmic slow scale nets by { Π := ω R,] : η, ] c >, η] : c ω, η, ] p c p > : ω p c p log },, η]. Further, we call a net ω Π logarithmic slow scale strictly nonzero if there exists r Π and an η, ] such that ω /r for, η]. The different growth type then result by convolution with a mollifier ϕ ω x = ω n ϕω x with the same ϕ SR n as above.

3 EJDE-28/42 FACTORIZATION OF HYPERBOLIC OPERATORS 3 More generally, we introduce Colombeau algebras based on a locally convex vector space E topologized through a family of seminorms {p i } i I as in [3, Section ]. To continue, the elements M E := {u E,] : i I N N : p i u = O N as } M E := {u E,] : N N i I : p i u = O N as } M E := {u E,] : i I ω Π : p i u = Oω as } N E := {u E,] : i I q N : p i u = O q as }.2 are said to be E-moderate, E-regular, E-moderate of logarithmic slow scale type and E-negligible, respectively. Then, N E is an ideal in M E and the Colombeau algebra based on E is defined by the factor space G E = M E /N E and possesses the structure of a C-module. The space of the regular Colombeau generalized functions GE C-module whereas the space of the logarithmic slow scale algebra GE is a C-module. = M E /N E is again a = M E /N E Example.. Setting E = C one gets the ring of complex generalized numbers C = G C with the absolute value as the corresponding seminorm. Furthermore, we denote by R = G R the ring of real generalized numbers. Further, let Ω be an open subset of R n. Then the Colombeau algebra GΩ = E M Ω/N Ω is obtained by taking E = C Ω endowed with the topology induced by the family of seminorms p K,i f = sup{ α fx : x K, α i} with K Ω, i N and f C Ω. Another example is the Colombeau algebra G p,p Ω, p, when E is set to W,p Ω and the topology is determined by the collection of seminorms p i f = sup{ α f p : α i}, f W,p Ω, as i varies over N. We note that G L 2 = G 2,2. For more general Colombeau algebras based on Sobolev spaces we refer to [2, Section 2]. Using the notation there we have the following identities: E M,p Ω = M W,p Ω and N p,p Ω = N W,p Ω. 2. Pseudodifferential calculus In this section we introduce a general calculus for pseudodifferential operators which are standard quantizations of generalized symbols. Since most of the techniques are similar to the usual theory of pseudodifferential operators we also refer to [7, 3]. A detailed discussion on pseudodifferential operators with Colombeau generalized symbols can be found in [9, 8]. As usual, we write D xj = i xj = i xj. We shall initially discuss the main notions of generalized symbols. As already indicated above we will study symbols which satisfy asymptotic growth conditions with respect to ω Π. As usual, we use the notation ξ := + ξ 2 /2. We let ρ, δ [, ] and m R. We denote by Sρ,δ m = Sm ρ,δ Rn R n the set of symbols of order m and type ρ, δ as first introduced by Hörmander in [6, Definition 2.]. Since the symbol class Sρ,δ m satisfies global estimates we remark that our space M S m ρ,δ is different to that in [2, Section.4]. In the following, we will typically encounter subspaces of M S m ρ,δ subjected to logarithmic slow scale asymptotics we can choose in.2 E = Sρ,δ m and obtain symbols of the form:

4 4 M. GLOGOWATZ EJDE-28/42 Definition 2.. Let m R. The set of moderate logarithmic slow scale symbols S m ρ,δ, Rn R n of order m and type ρ, δ consists of all a S m ρ,δ Rn R n,] such that for all α, β N n there exists ω Π : q m α,β a := sup ξ α x β a x, ξ ξ m+ρ α δ β = Oω as. x,ξ R 2n An element of S m ρ,δ, Rn R n is said to be negligible if it fulfills the following condition: α, β N n q N : q m α,β a = O q as. The subset of all negligible elements of S m ρ,δ, Rn R n is denoted by N m ρ,δ Rn R n. Then, logarithmically slow scale symbols of order m are defined as the factor space S m ρ,δ,r n R n := S m ρ,δ,r n R n /N m ρ,δr n R n. and in the following we will assume that δ < ρ. In the case that ρ = and δ = we use the abbreviation S m for S m,,. S Remark 2.2. Moreover, the space of logarithmic slow scale symbols of order consists of equivalence classes a whose representatives a have the property that m R α, β N n ω Π : q m α,β a = Oω as. Since ω is a logarithmic slow scale net, we note that the net of a symbol a in S m can always be estimated as follows α, β N n : q m α,β a = O log as. To give an example, let P x, D x = α m a αxdx α be a partial differential operator with bounded and measurable coefficients. Then the logarithmically slow scale regularization of the symbol is given by p x, ξ := p., ξ ϕ ω x and p is contained in S m Rn R n. Also, we will make use of the following symbol class: Definition 2.3. Let U R n R n be open and conic with respect to the second variable. We say that a generalized symbol a is in S ρ,δ, m U if it has a representative a with a Sρ,δ m U for fixed, ] and for any compact set K pr 2U independent of and V K := {x, ξ U : ξ K} we have: for all α, β N n there exists ω Π exists C > : α ξ β x a x, ξ Cω ξ m ρ α +δ β x, ξ V c K for sufficiently small and where V c K := {x, λξ : x, ξ V K, λ }. Note that Definition 2. is equivalent to Definition 2.3 in the case that U = R n R n. For completeness, we recall the definition for global symbols Sρ,δ m U which is similar to that for local symbols, see [4, Definition 2.3, page 4]: For U being an open subset of R n R n, which is conic in the second variable, we say that a Sρ,δ m U if a C U and for each compact K pr 2 U and V K := {x, ξ U : ξ K} we have α, β N n : sup ξ α x β ax, ξ ξ m+ρ α δ β <. x,ξ VK c

5 EJDE-28/42 FACTORIZATION OF HYPERBOLIC OPERATORS 5 We choose the following convention for defining the Fourier transform Fu of a function u L 2 R n : Fuξ := ûξ := e ixξ ux dx := lim e ixξ σ x ux dx. R n σ + R n Then the Fourier transform is an isomorphism on L 2 and the inverse Fourier transform of u L 2 is given by the formula F ux := e ixξ uξ dξ := lim e ixξ σ ξ uξ dξ. R n σ + R n where we have set dξ := 2π n dξ. More information on the Fourier transform acting on G L 2 can be found in []. As already mentioned above, we will focus on generalized pseudodifferential operators having the following phase-amplitude representation: Definition 2.4. Let a a S ρ,δ, m Rn R n and let u be a representative of u G L 2. We define the corresponding linear operator A : G L 2 G L 2 by Ax, Dux := e ix yξ ax, ξuy dy dξ := A x, Du x + N H R n where A x, D x u x := e ix yξ a x, ξu y dy dξ = e ixξ a x, ξû ξ dξ = F ξ x a x, ξû ξ where the last integral is interpreted as an oscillatory integral. The operator A is called the generalized pseudodifferential operator with generalized symbol a. Later on, we will sometimes write A Ψ m ρ,δ, Rn to denote that A is a generalized pseudodifferential operator with symbol in S ρ,δ, m Rn R n. ρ, δ =,, we will write A Ψ m Rn for short. In the case that 2.. Generalized point values of a generalized symbol. As above, let U Γ R n R n be open and conic with respect to the second variable and a a generalized symbol in Sρ,δ, m U Γ. Definition 2.5. Let Γ R n be an open cone. On Γ M := {ζ Γ,] : N N : ζ = O N as } we introduce the equivalence relation ζ ζ 2 m N : ζ ζ 2 = O m as and denote by Γ := Γ M / the generalized cone with respect to Γ. Lemma 2.6. Let a S m ρ,δ, U Γ and ζ Γ. Then the generalized point value of a at z, ζ = [z, ζ ], is a well-defined element of C. az, ζ := [a z, ζ ]

6 6 M. GLOGOWATZ EJDE-28/42 Proof. The proof is similar to that of [5, Proposition.2.45]. We let z, ζ U Γ M and a Sρ,δ, m U Γ. For any index i N C i denotes a positive constant, ω i, a logarithmic slow scale net and N i a natural number. Then a z, ζ C ω, + ζ m C ω, + C 2 N2 maxm, C 3 N3 so a z, ζ R M = M R. We now show that ζ ζ 2 implies az, ζ az, ζ 2. So let ζ ζ 2. Then a z, ζ a z, ζ 2 ζ ζ 2 D ζ a z, ζ + σζ 2 ζ dσ C 4 ω 4, + C 5 N5 maxm, ζ ζ 2 C 6 N6 p for all p and small enough. Hence a z, ζ a z, ζ 2. Finally, if a N S mu Γ we have a z, ζ C p + ζ m C p + C 7 N7 maxm, for any p as. So a z, ζ. In the case of generalized logarithmic slow scale coneswe obtain a similar result. Definition 2.7. Let Γ R n be an open cone. On Γ M, := {ζ Γ,] : ω Π : ζ = Oω as } we introduce the equivalence relation ζ ζ 2 m N : ζ ζ 2 = O m as and denote by Γ := Γ M, / the generalized logarithmic slow scale cone of Γ. Lemma 2.8. Let a S m ρ,δ, U Γ and ζ Γ. Then the generalized point value of a at z, ζ = [z, ζ ], is a well-defined element of C. az, ζ := [a z, ζ ] 2.2. Asymptotic Expansion. To prepare the factorization theorem of section 5 we will have to consider products of pseudodifferential operators. In the sequel we will construct a complete symbolic calculus for generalized pseudodifferential operators. We therefore start with some general observations concerning the notion of asymptotic expansion of a generalized symbol in S ρ,δ, m. The presentation of the results are inspired by the results given in [8, Section 2.5] and [9]. There, the techniques are described by means of generalized symbols as well as for slow scale symbols. The modification to logarithmic slow scale symbols is evident. The definition of the asymptotic expansion is now the following: Definition 2.9. Let {m j } j be a strictly decreasing sequence of real numbers such that m j as j, m = m.

7 EJDE-28/42 FACTORIZATION OF HYPERBOLIC OPERATORS 7 i Further, let {a j, } j be a sequence with a j, M m S j. We say that the ρ,δ formal series j= a j, is the asymptotic expansion for a C R n R n,], denoted by a j a j,, if and only if N a a j, M m S N ρ,δ j= N. ii Further, let {a j, } j be a sequence with a j, S mj ρ,δ,. We say that the formal series j= a j, is the asymptotic expansion for a C R n R n,], denoted by a j a j,, if and only if N a a j, S m N ρ,δ, N. j= In both cases, a, is said to be the principal symbol of a. Also, we introduce the special case M S m ρ,δ,cl R n R n M S m ρ,δ of classical generalized symbols. Definition 2.. We say that a generalized symbol a M S m ρ,δ is classical, denoted by a M S m ρ,δ,cl, if there exists a sequence {a j, } j with symbols a j, in M S m j R n R n \ homogeneous of degree m j in ξ, j N, ρ,δ such that for any cut-off function ϕ C R n equal to near the origin we have N a x, ξ ϕξa j, x, ξ j= M S m N ρ,δ quad N. 2. As above, we will write a j a j, if 2. holds and we call a, the principal symbol of a. Replacing M S m ρ,δ by M S one obtains classical symbols of logarithmic slow ρ,δ, m scale type. As a result, we obtain that any infinite sum of symbols of strictly decreasing orders can be summed as follows. Theorem 2.. i Let a j, M m S j with m j as j, m = m as in i of Definition 2.9. Then there exists a M S m ρ,δ ρ,δ such that a j a j,. Moreover, if a j a j,, then a a M S. ii Let a j, S mj ρ,δ, with m j as j, m = m as in ii of Definition 2.9. Then there exists a Sρ,δ, m such that a j a j,. Moreover, if a j a j,, then a a S. Remark 2.2. The proof of this theorem can be found in [8, Theorem 2.2]. The same proof remains valid for classical symbol classes. We recall the construction of the symbol a of Theorem 2.: Let ψ C R n, ψξ such that ψξ = for ξ and ψξ = for ξ 2. As in [8, Theorem 2.2] one can define a x, ξ := j N ψλ j, ξa j, x, ξ

8 8 M. GLOGOWATZ EJDE-28/42 where λ j, are appropriate positive constants with λ j+, < λ j, <, λ j, as j. In case i of Theorem 2., λ j, are taken to be the inverse of an appropriate strictly positive net. In Theorem 2. ii, it turns out that λ j, can be chosen to be an inverse of a logarithmic slow scale net. We also remark that Theorem 2. can be carried over to classical symbols in a corresponding way. Noting that in Theorem 2. i one can replace the moderateness by negligibility we introduce as in [8, Definition 2.6 ii]: Definition 2.3. Let {m j } j be as in Definition 2.9. Further let {a j } j be a sequence mj in S ρ,δ,. We say that the formal series j= a j is the asymptotic expansion of a S ρ,δ, m, denoted by a j a j, if and only if there exists a representative a of a and, for every j representatives a j, of a j, such that a j a j,. Similarly, we introduce the following definition for classical symbols. S m j Definition 2.4. Let {a j } j N be a sequence with a j ρ,δ, Rn R n \ homogeneous of degree m j. We say that the formal series j= a j is the asymptotic expansion of a S ρ,δ,cl, m, denoted by a j a j, if and only if there exists a representative a of a and, for every j representatives a j, of a j, such that a j a j, Composition and Adjoint of Pseudodifferential Operators. In this subsection we briefly recall the composition law of two pseudodifferential operators and adjoint operators. A detailed discussion for slow scale regular generalized symbols can be found in [9, Section 5]. Again, the adaptation to logarithmic slow scale symbols is evident. Therefore, for logarithmic slow scale symbols,we obtain the following result. Theorem 2.5. Let Ax, D x and Bx, D x be two pseudodifferential operators m m2 with generalized symbols a S ρ,δ, and b S ρ,δ, respectively. Then the product AB is well-defined and maps G L 2 into itself. Moreover AB is a pseudodifferential operator with generalized symbol a#b in having the representation a#bx, ξ α S m+m2 ρ,δ, α! Dα ξ ax, ξ α x bx, ξ. For the proof we refer to [9, Theorem 5.5]. We note that Theorem 2.5 can also m m2 be stated for classical symbols. In detail, if a S ρ,δ,cl, and b S ρ,δ,cl,, then m+m2 a#b in S ρ,δ,cl,. Also useful is the following theorem. Theorem 2.6. Let Ax, D x be a pseudodifferential operators with generalized symbol a S m ρ,δ,. Then the adjoint operator A is in Ψ m ρ,δ, and its symbol a is given by the asymptotic expansion a x, ξ α For the proof see [9, Theorem 5.2]. i α α! Dα x D α ξ ax, ξ.

9 EJDE-28/42 FACTORIZATION OF HYPERBOLIC OPERATORS 9 3. Governing equation in the Colombeau setting The present survey is devoted to wave propagation in inhomogeneous acoustic media in the case of non-smooth background data. The operator structure is motivated from wave propagation phenomena occuring in a number of physical applications, such as underwater acoustics or seismology. Hence, the evolution direction is the depth coordinate. 3.. Derivation of the inhomogeneous wave equation. The acoustic wave equation characterizes fluid motions and can be derived from the conservation laws of mass and momentum together with the equation of state of thermodynamical equilibrium. This system of acoustic equations can be linearized and therefore describes small perturbations from a state of rest of the pressure Ut, x R, the density ρ t, x R and the velocity v t, x R n that moves in a fluid with given wave speed cx and density ρx, x R n, t R. To explain how these waves are generated or added to the fluid one can introduce so-called sources by adding source terms in the equation of mass, momentum and energy. Assuming an isentropic process the linearized acoustic system can be written as cf. [2, 2, 25, 3] ρ t = divρ v + m mass conservation v t = ρ U + f momentum conservation U t = c2 ρ t + v ρ equation of state where the mass source term m and the force source term f are supposed to vanish in the undisturbed state. Here m represents a volume injection of a source such as, for example, bodies whose volume is oscillating. An example for a body force f of a source is an oscillating rigid body of constant volume. Note that these equations also hold for the fluid at rest. Substituting the state equation into the equation of mass and using the conservation of momentum to eliminate the velocity term gives 2 div ρ U c 2 ρ t 2 U = F where F := m/ρ t + div f/ρ denotes the source function. We remark that in the absence of sources one derives the homogeneous wave equation. In the following we will study the Colombeau generalized partial differential equation of the form LU := n z ρ z + xj ρ x j ρ j= W, /N W, c 2 2 t U = F 3. with the pressure wave field U G L 2R n+ and F G L 2R n+ a source term. For the space coordinates we will allocate the vertical direction z, which we call the depth, the lateral directions are denoted by x. We assume that the coefficients ρ = ρ x, z, c = c x, z are Colombeau generalized functions in G, := M and meet the following requirements: there are representatives ρ ρ, c 2 c 2 such that

10 M. GLOGOWATZ EJDE-28/42 i there exist Hölder continuous functions ρ, c, such that for all x, z R n we have ρ = ρ C,µ R n for some µ ϕ ω, c = c ϕ ω where ϕ is as in., ω Π and the convolution is taken with respect to x and z ii η, ] constants c, c, ρ and ρ such that < c c x, z c < and < ρ ρ x, z ρ < for all x, z R n and, η]. The lower bound assumption is sometimes referred to as strong positivity cf. [, Section ] or [7, Section 2]. The upper bound means uniform boundedness of the -th derivative of the representatives. For more details on the assumption i we refer to the remark given below. Given a regularized operator as above, we carry out all transformations within algebras of generalized functions from now on. More explicitly, we will study the action of the linear operator L from G L 2 into itself in the following sense: on the level of representatives L acts as u n z z + xj xj ρ ρ ρ c 2 2 t u j= This explains our governing equation in 3. where U = [u ]. u M H. Remark 3.. To realize the logarithmic slow scale type conditions on the coefficients of a partial differential operator, one usually uses a rescaling in the mollification. In our case, the regularization is obtained by convolution with the logarithmically scaled mollifier ϕ ω. := ωn ϕω. with ϕ SR n as in. and ω Π. For completeness, we give the following implications for our type of coefficients: Let u C,µ R n be a real-valued Hölder continuous function with exponent µ, and such that infu c for some positive constant c. Further ϕ is a mollifier as above and ω Π. One may think of ω = loglog as an explicit example. Then c > : ω c for all, ] and for all p, c p > : ω p c p log for all, ]. So given some ω Π the logarithmic slow scale regularization of u is given by u x = u ϕ ω x and satisfies the following estimates see [8, Theorem 7], or [28, Section 5]: { α O α = u L = O ω α µ α > and u > η, ] : u x u x R n,, η]. Here, the latter inequality is the strong positivity and the first estimate guarantees that the net u is in M W,. Moreover, note that u C,µ implies that for every x R n we have u x ux ux ω y ux ϕy dy = Oω µ. Again, with a slight abuse of notation we write u for the equivalence class of the Colombeau regularization of u C,µ, i.e: u := u + N W, G,.

11 EJDE-28/42 FACTORIZATION OF HYPERBOLIC OPERATORS 3.2. Time extrapolation of the wave field. In a paper of Garetto and Oberguggenberger, see [3], the authors studied well-posedness of Cauchy problems with respect to the time variable for strictly hyperbolic systems and higher order equations in the Colombeau setting using symmetrisers and the theory of generalized pseudodifferential operators. There they imposed conditions concerning the asymptotic scale of the regularization parameter of the operator. Concretely, the authors proved existence, uniqueness and regularity of generalized solutions in the case that the regularization parameter is chosen logarithmic slow scale. More details can be found in [3, Theorem 4.2] Depth evolution processes. The concept of one-way wave equations, also known as paraxial wave equations, was first introduced by [5] and has become a standard tool in depth migration processes due to ill-posedness of the full wave equation. In fact, they are expressions for the first depth derivative of a wave field and thus of the form z + ib ± x, z, D t, D x. 3.2 where B ± are microlocal pseudodifferential operators. Our derivation of one-way wave equations starts with a factorization of the operator L in 3. into terms of the form 3.2. Remark 3.2. As already noted in subsection 3.2, one obtains well-posed problems in the model of time migration for strictly hyperbolic operators. We therefore give the following link. Note that the operator L in 3. is strictly hyperbolic in the following sense: Let θ, π/2 be a fixed angle and { } I θ := x, z, τ, ξ R n R n : τ, c x, zτ ξ < sin θ. For completeness we recall the following definition. Definition 3.3. The operator L in 3. is called generalized strictly hyperbolic in I θ if there exists a choice of representatives of the coefficients in G, R n such that the corresponding principal symbol of L ζ; x, z, τ, ξ has 2 distinct real-valued roots ζ j,, j =, 2 such that ζ, x, z, τ, ξ ζ 2, x, z, τ, ξ ζ τ, ξ 3.3 holds for some strictly nonzero net ζ, for all x, z, τ, ξ I θ and sufficiently small. 4. Ellipticity of pseudodifferential operators In this section, we introduce the notion of elliptic operators which enables us to construct a parametrix for such operators. Furthermore such operators will play an important role in the characterization of the generalized wave front set cf. section Ellipticity. In [, Definition.2] and [8, Proposition 2.7] the authors introduced the concept of slow scale ellipticity which can be carried over to logarithmic slow scale ellipticity easily. With this in mind, we define the property of logarithmic slow scale ellipticity for our class of operators as follows.

12 2 M. GLOGOWATZ EJDE-28/42 Definition 4.. We say that a generalized symbol a S m is logarithmic slow scale micro-elliptic at x, ξ T R n \ if it has a representative a such that the following is satisfied: There exists a relatively compact open neighborhood U of x, exists a conic neighborhood Γ of ξ, exist nets r Π, s Π and a constant η, ] such that a x, ξ s ξ m x, ξ U Γ, ξ r,, η]. 4. In the sequel, we will sometimes use the abbreviation for logarithmic slow scale. We denote by Ell a the set of points x, ξ T R n \ where a is logarithmic slow scale micro-elliptic. If there exists a representative a a such that 4. holds for all x, ξ T R n \ then the symbol a is called logarithmic slow scale elliptic. Definition 4.2. More generally, we say that a generalized symbol a S m sc is slow scale micro-elliptic at x, ξ T R n \ if 4. holds for some nets r, s Π sc. Note that a logarithmic slow scale elliptic symbol is also slow scale elliptic but not vice versa. Remark 4.3. We first observe that condition 4. is independent of the choice of representative. Indeed, let a a as in Definition 4. and a another representative of a. Then for some arbitrary but fixed p > there c >, η, ] such that on U Γ we have a x, ξ a x, ξ a a x, ξ s ξ m c s 2p ξ r,, η ]. Since there exist η 2, ] and c 2 > such that s c 2 p for, η 2 ],we obtain c s 2p c c 2 p /2, minη 2, 2c c 2 /p]. Redefining η := minη, η 2, 2c c 2 /p we obtain a x, ξ 2s ξ m x, ξ U Γ, ξ r,, η]. Moreover, we notice that the notion of logarithmic slow scale ellipticity is stable under lower order logarithmic slow scale perturbations. For a proof one reworks essentially the lines in [, Proposition.3]. For completeness we give the proof of the following proposition. Proposition 4.4. Let a S m Rn R n be logarithmic slow scale micro-elliptic at the point x, ξ. Then i for all α, β N n there exists λ Π η, ]: α ξ β x a x, ξ λ a x, ξ ξ α U Γ, ξ r,, η] ii if b S m Rn R n with m < m, then 4. is valid for the net a + b. Proof. We first show i. Since a S m is logarithmic slow scale elliptic we obtain: for all α, β N n there exist ω Π, c >, and η, ] such that α ξ β x a x, ξ cω ξ m α cω s ξ α a x, ξ

13 EJDE-28/42 FACTORIZATION OF HYPERBOLIC OPERATORS 3 on U Γ for ξ r,, η]. Setting λ := ω s then λ Π as desired. To show the second part let b S m. Then a x, ξ + b x, ξ s ξ m cω ξ m = s ξ m cs ω ξ m m 2s ξ m on U Γ, ξ r := maxr, 2cs ω /m m and r Π. We note that the previous proposition can also be carried over for symbols that are slow scale micro-elliptic. Remark 4.5. In case of smooth symbols the notion of -ellipticity reduces to the classical one and is therefore equivalent to the complement of the characteristic set. Indeed, given a S m R n R n and a representative a of an -elliptic symbol a S m Rn R n then there exist nets s, r Π and constants c >, η, ] such that for every q N we have: ax, ξ a x, ξ ax, ξ a x, ξ ξ m c q for ξ r,, η]. s As we are allowed to fix an small enough the last expression is bounded away from. In particular Ell a c is equal to the characteristic set Charax, D. Note that this result remains valid if one replaces by sc cf. [, Remark.4]. Before we proceed, we give an equivalent characterization of the notion of ellipticity concerning the principal symbol. In [9, Proposition 3.3] it is proved that a generalized partial differential operator with regular coefficients in G = GC is W-elliptic weak elliptic if its principal symbol is S-elliptic strong elliptic. For the precise meaning of weak and strong ellipticity consult [9]. Referring to this we want to give the following proposition. Proposition 4.6. Given a generalized symbol a Scl, m then the following properties are equivalent: i a is -elliptic ii the principal symbol a m, satisfies the following condition: there exists s Π, η, ] and r > such that a m, x, ξ s ξ m x, ξ T R n with ξ r and, η]. Proof. The proof follows similar arguments to those used in [9, Proposition 3.3]. We first assume that condition ii holds. Then there exist nets s Π, ω Π and constants c, r > such that a x, ξ = a m, x, ξ + j a m j, x, ξ s ξ m cω ξ m s ξ m cω s ξ for ξ r and small enough. Setting r = maxr, 2cω s then r Π and we obtain a x, ξ 2s ξ m ξ r,, η] for some η, ], showing i.

14 4 M. GLOGOWATZ EJDE-28/42 To prove that i implies ii, suppose that a satisfies 4. on R n R n. Let ζ R n, ζ = and choose ξ R n such that ξ r and ζ = ξ/ ξ with r Π as in 4.. Then s Π, r Π, η, ] so that a m j, x, ζ ξ j = a x, ξ ξ m j s ξ m ξ m = s ξ m min2m/2, s =: for ξ r := max, r,, η]. Now fix N N, N. Since a S m we obtain t Π, j N, ω j, Π, η, ] such that s a m j, x, ζ ξ j ω j, ξ j t for ξ max j N r, t ω j, /j and, η]. At this point we are free to choose t Π such that N t = 4s. On the other hand, we can use Theorem 2. for classical symbols to show that ω Π, η, ] such that j N+ a m j, x, ζ ξ j ξ N+ j N+ 2m N ω ξ N+ 4s a m j, x, ζ ξ N+ ω ζ m N for any ξ max, r, 2 m N ω s N+ and, η]. At this point we reset r := max j N, r, 2 m N ω s N+, t ω j, /j. Then r Π and we obtain: η, ] such that a m, x, ζ a m j, x, ζ ξ j a m j, x, ζ ξ j j= j= N s a m j, x, ζ ξ j + s j= 2s = 2s j=n+ a m j, x, ζ ξ j for ξ r,, η] by the above. Thus, since a m, is homogeneous of degree m in the second variable for sufficiently small. a m, x, ξ 2s ξ m 2s ξ m for all ξ R n, ξ Remark 4.7. Again, Proposition 4.6 remains valid if we replace logarithmic slow scale by slow scale.

15 EJDE-28/42 FACTORIZATION OF HYPERBOLIC OPERATORS Strong ellipticity. As already announced in section 3 we are interested in the depth extrapolation of the wave field U in 3.. We will therefore introduce a notion of logarithmic slow scale ellipticity which in addition has a certain behavior with respect to ζ, the dual variable of the depth. We first introduce some notation. We denote by τ, ξ, ζ R R n R the dual variables corresponding to t, x, z R R n R. Thus, we will work on a 2n + -dimensional phase space. We already mentioned in subsection 2. that given a symbol a S m Rn+ R n+ and a generalized point t, x, z, τ, ξ, ζ in R n+ R n R then the generalized point value of the symbol a at t, x, z, τ, ξ, ζ is well-defined in C. Moreover let Γ s R n+ be a classical conic neighborhood of τ, ξ, ζ of the form Γ s = { λτ, ξ; ζ R n+ τ, ξ ; ζ \ : τ, ξ; ζ B s S, λ > } τ, ξ ; ζ for some s > small enough, where B s η denotes the open ball with radius s around η R n+ and S := {η R n+ : η = }. We set Γ s,m := {λτ, ξ; ζ Γ,] s N N : ζ = O N as, λ > } and introduce an equivalence relation on Γ s by ζ ζ 2 m > : ζ ζ 2 = O m. We then denote by Γ s := Γ s,m / the generalized cone with respect to ζ generated from Γ s. So Γ s is a generalized conic neighborhood of τ, ξ, ζ. Moreover we recall that Γ s Γ s. The canonical embedding of Γ s into Γ s is given by τ, ξ, ζ τ, ξ, ζ + N R. Also note that in the definition of Γ s,m, τ, ξ; ζ Γ,] s τ, ξ; ζ B s τ, ξ ; ζ τ, ξ ; ζ means that S for every fixed, ]. With this notation we now give the definition of strong -micro-ellipticity. Definition 4.8. Let a be a generalized symbol in S m Rn+ R n+. We say that a is strong logarithmic slow scale micro-elliptic at a point t, x, z, τ, ξ ; ζ T R n+ \, and we write t, x, z, τ, ξ ; ζ Ell a, if there exist a relatively compact open neighborhood U of t, x, z, a classical conic neighborhood Γ of τ, ξ, ζ such that Γ Γ where Γ = Γ M / is the generalized conic neighborhood of τ, ξ, ζ generated from Γ as above, nets r, s Π and an η, ] such that a t, x, z, τ, ξ; ζ s τ, ξ; ζ m U Γ M, τ, ξ; ζ r,, η]. 4.2 Figure below shall illustrate the relation of the sets Γ s and Γ s,m in the following special situation. We fix a point x, z R n, let ζ 2 := c x 2, z τ 2 ξ 2 and let Γ s be a conic neighborhood around τ, ξ, ζ. Then for any s >, however small, we can define { ζ, s2 c x := 2, z τ 2 ξ 2 C s, ] c x 2, z τ 2 ξ 2, C s ]

16 6 M. GLOGOWATZ EJDE-28/42 for some positive constant C s depending on s > and which will be specified below. Then ζ 2 ζ, s 2 = c 2 c 2 x, z τ 2 Cτ ω µ, ]. Now let rs be a function depending on s such that rs as s. Then, since Cτ ω µ rs/2 for all small enough, i.e. for less or equal a C s > with C s as s we obtain By the definition of ζ s2, we even get ζ 2 ζ s2, rs/2, C s ]. ζ 2 ζ s2, rs/2, ]. So in particular we have τ, ξ, ζ, s2 Γ s for all, ] and ζ, s2 ζ 2 as. Therefore, if we are working in an open ball around τ, ξ, ζ with radius rs > we can find a generalized point τ, ξ, ζ, s such that τ, ξ, ζ, s is contained in B rs τ, ξ, ζ for all, ]. ζ Γ s ζ, s ζ rs S τ, ξ τ, ξ Figure. Here the shaded area corresponds to the set Γ s. The dashed line through τ, ξ, ζ s, and the origin move to to the line through τ, ξ, ζ and the origin as respectively. Remark 4.9. In particular, since Γ Γ condition 4.2 implies a t, x, z, τ, ξ; ζ s τ, ξ; ζ m U Γ, τ, ξ; ζ r,, η]. 4.3 so the symbol a is logarithmic slow scale micro-elliptic at t, x, z, τ, ξ ; ζ. Remark 4.. The definition of strong slow scale micro-ellipticity is straightforward. Again, one simply replaces by sc in Definition 4.8. Lemma 4.. Let a S m Rn+ R n+. Then a is strong logarithmic slow scale micro-elliptic at t, x, z, τ, ξ ; ζ if and only if it is logarithmic slow scale micro-elliptic there. So if a satisfies 4.3, then it also satisfies 4.2 and vice versa. Proof. The first direction is already shown by Remark 4.9. On the other hand suppose that the symbol a is logarithmic slow scale microelliptic at t, x, z, τ, ξ ; ζ T R n+ \. Then there exists a representative a of a such that the following is satisfied: relatively compact open neighborhood U

17 EJDE-28/42 FACTORIZATION OF HYPERBOLIC OPERATORS 7 of t, x, z, classical conic neighborhood Γ of τ, ξ ; ζ, nets r, s Π, η, ] such that a t, x, z, τ, ξ; ζ s τ, ξ; ζ m on U Γ, τ, ξ; ζ r,, η]. In particular, since Γ is conic a neighborhood of τ, ξ ; ζ, it is of the form Γ = {λτ, ξ; ζ R n+ τ, ξ ; ζ \ τ, ξ; ζ B s S, λ > } τ, ξ ; ζ for some s > small enough. We define Γ := Γ M / the generalized cone with respect to ζ constructed from Γ as above. Take τ, ξ; ζ Γ M. Then τ, ξ; ζ Γ for any fixed, ] and N N such that ζ = O N as. Hence η, ]: a t, x, z, τ, ξ; ζ s τ, ξ; ζ m on U Γ M, τ, ξ; ζ r,, η]. As a conclusion we obtain that t, x, z, τ, ξ ; ζ Ell a, i.e., the symbol a is strong logarithmic slow scale micro-elliptic at the point t, x, z, τ, ξ ; ζ. We have therefore shown that logarithmic slow scale micro-ellipticity at a particular point is equivalent to strong logarithmic slow scale micro-ellipticity at that point. An inspection of the proof of Lemma 4. shows the following result. Corollary 4.2. Given a S m sc then a is strong slow scale elliptic at a phase space point if and only if a is slow scale elliptic at that point. Lemma 4.3. Let L be the generalized differential operator given in 3.. Then Ell sc L is a subset of the complement of Σ, where Σ := {t, x, z, τ, ξ, ζ T R n+ \ : ζ 2 c 2 x, zτ 2 + ξ 2 = } and c C,µ R n is as in the beginning of section 3. Note that Σ is a conic set 2 and independent of the regularization parameter, ]. Moreover we have the following inclusion relations: Σ Ell sc L c Ell L c. Proof. Let t, x, z, τ, ξ, ζ T R n+ \ be an arbitrary but fixed point of Σ. Hence, ζ 2 = c 2 x, z τ 2 ξ 2. Assume that the operator L with generalized symbol in S 2 Rn+ R n+ is slow scale micro-elliptic at the point t, x, z, τ, ξ, ζ T R n+ \. Then by Corollary 4.2 there is a relatively compact open neighborhood U of t, x, z, a conic neighborhood Γ of τ, ξ, ζ such that for some r, s Π sc and some η, ] we have L x, z, τ, ξ, ζ s τ, ξ, ζ 2 for all t, x, z, τ, ξ, ζ U Γ M, τ, ξ, ζ r,, η] and Γ = Γ M / is the generalized conic neighborhood of τ, ξ, ζ from above such that Γ Γ. For small enough we now define ζ 2, := c 2 x, z τ 2 ξ 2 which tends to ζ 2 for fixed τ R as tends to.

18 8 M. GLOGOWATZ EJDE-28/42 Then one can choose τ, ξ, ζ, Γ M, i.e. there is a positive constant s such that τ, ξ ; ζ τ, ξ ; ζ, B s S for every fixed, ] τ, ξ ; ζ since τ, ξ ; ζ, τ, ξ ; ζ as. On the other hand the principal symbol of L vanishes on x, z, τ, ξ, ζ,, i.e. σl x, z, τ, ξ, ζ, = for all small enough. So, by Proposition 4.6 and Remark 4.7, the symbol L is not strong slow scale micro-elliptic and therefore not slow scale micro-elliptic at t, x, z, τ, ξ, ζ - a contradiction. Lemma 4.4. Let L and Σ be as in Lemma 4.3. Then Σ = Ell c L. Proof. By Lemma 4.3 it suffices to show the inclusion Σ c Ell L. To do this, we introduce the continuous function fx, z, τ, ξ, ζ := ζ 2 c 2 x, zτ 2 + ξ 2, which coincides with the limit of the principal symbol of ρ L as. So, Σ c = {t, x, z, τ, ξ, ζ T R n+ \ : fx, z, τ, ξ, ζ > } is an open subset of the phase space. Now given a point t, x, z, τ, ξ, ζ Σ c, there exist a relatively compact open neighborhood U of t, x, z, a conic neighborhood Γ of τ, ξ, ζ and a small δ > such that fx, z, τ, ξ, ζ = ζ 2 c 2 x, zτ 2 + ξ 2 δ τ, ξ, ζ 2 U Γ S. Since f is homogeneous of degree 2 in τ, ξ, ζ it follows that fx, z, τ, ξ, ζ = ζ 2 c 2 x, zτ 2 + ξ 2 δ τ, ξ, ζ 2 U Γ, τ, ξ, ζ. Hence, there exists a constant C δ, ], depending on δ >, such that σl t, x, z, τ, ξ, ζ ζ 2 c 2 x, zτ 2 + ξ 2 c 2 c 2 x, zτ 2 δ τ, ξ, ζ 2 Cω µ τ, ξ, ζ 2 δ 2 τ, ξ, ζ 2 U Γ, τ, ξ, ζ,, C δ ]. Therefore, L is -elliptic at t, x, z, τ, ξ, ζ, which is the desired conclusion. Remark 4.5. We define the set { Λ M := t, x, z, τ, ξ; ζ R n+ R n R,] \ : ζ 2 = } c 2 x, zτ 2 ξ 2, N N : ζ = O N as. If a is a symbol on Σ, then the evaluation on Λ M / is in general not defined. If a is a symbol on Γ, then the generalized point value of a at a point of Γ M / is a well-defined element on C.

19 EJDE-28/42 FACTORIZATION OF HYPERBOLIC OPERATORS 9 A fixed generalized point t, x, z, τ, ξ, ζ, Λ M satisfies Since τ R is fixed we obtain ζ 2, = c 2 x, z τ 2 ξ 2. ζ, 2 = c 2 x, z τ 2 ξ 2 ζ 2 = c 2 x, z τ 2 ξ 2 as and where t, x, z, τ, ξ, ζ Σ. Moreover, ζ, 2 ζ 2 = c 2 c 2 x, z τ 2 Cω µ τ 2. In the next subsection we will construct an approximate inverse for logarithmic slow scale elliptic pseudodifferential operators Construction of a parametrix. In this subsection we will discuss uniqueness and existence results concerning the invertibility of elliptic pseudodifferential operators. Recall that the asymptotic expansion is unique modulo operators of order. As a consequence we will show that one obtains uniqueness of a parametrix modulo operators of infinite order. Note that given a a symbol of class S the operator defined by u a x, Du, u M H has a regular kernel representation in the sense that moderate nets are mapped into regular nets. In the following theorem we shall work on the level of representatives. Theorem 4.6. Let a S m be logarithmic slow scale elliptic, i.e. r Π, s Π, η, ]: Then there exists p S m a x, ξ s ξ m ξ r,, η]. such that p #a = modulo S. Proof. Step : As in [8, Proposition 2.8] we show that there exists p m, S m such that p m, a S. 4.4 For the proof we let ψ C R n, ψ, ψξ = for ξ and ψξ = for ξ 2. Then p m, x, ξ := a x, ξψξ/r with r Π as in the theorem does the job. Indeed one can show that ξ α x β a x, ξ ω α, β ξ α a x, ξ ξ r for some ω α, β Π cf. [9, Lemma 6.3]. Then, by the properties of the function ψ,we obtain p m, S m for ξ 2r and ξ r. On the set r ξ 2r we observe that ξ α x β p m, x, ξ = α α ξ α α α α α α α β x a x, ξ α α ψξ/r ξ ω α, β a x, ξ ξ α r α α χ [re,2r ]ξ sup α α ψξ/r

20 2 M. GLOGOWATZ EJDE-28/42 α α α α ω α, βr α α s 2r α α ξ m α sup α α ψξ and therefore, p m, is in S m. To show 4.4 we write p m, a x, ξ = a a x, ξ + a a x, ξψξ/r = + ψξ/r. Since for any l > and α N n \, sup ξ l ψξ/r cψ 2r l r ξ 2r sup ξ l ξ α ψξ/r = sup ξ l r α α ψξ/r r ξ 2r r ξ 2r γ +j=k j<k cψr α 2r l we have shown 4.4. Step 2: We recursively define for k : { i γ } p m k, x, ξ := γ γ! xa x, ξ γ ξ p m j,x, ξ a x, ξψξ/r. By the same arguments as in [9, Propositions 6.5 and 6.6], one can show that each p m k, is in S m k and by Theorem 2. there exists a net p S m with p j p m j,. Step 3: The aim is to show that p #a S. Therefore, let σ be the generalized symbol with the asymptotic expansion σ x, ξ γ ξ γ! p Dxa γ x, ξ. γ and we will show that σ in S. We write σ γ! Dγ xa γ ξ p γ <N = σ γ <N γ! Dγ xa γ ξ p m l, + l<n γ <N γ! Dγ xa γ ξ p m l,. Since the left-hand side and the last sum on the right-hand side are in S N we obtain σ γ! Dγ xa γ ξ p m l, S N. We now write γ <N γ <N γ! Dγ xa γ ξ p m l, = p m, a + + γ +l N γ <N,l<N l<n N k= l<n {p m k, a + γ! γ ξ p m l,d γ xa, γ +l=k l<k l N } γ! γ ξ p m l,dxa γ

21 EJDE-28/42 FACTORIZATION OF HYPERBOLIC OPERATORS 2 where the last expression is in S N. The second sum on the right-hand side vanishes for ξ 2r and ξ r by construction. So it remains to estimate this expression on the set r ξ 2r. We observe for any l > and α N n that sup ξ l ξ α ψξ/r = r ξ 2r sup ξ l r α α ψξ/r cψr α 2r l r ξ 2r and we conclude that this term is contained in S N. Using Step, i.e. p m, a = mod S, we obtain for every N σ γ! γ ξ p Dxa γ = σ mod S N γ <N and the proof is complete. Recall that a S m is called -elliptic if one of its representatives a is elliptic. Then, the operator px, D has the symbol p + N S m S m and p is as in Theorem 4.6. Furthermore, by Step 3 of the same theorem we obtain px, D ax, Dux = e ix yξ u y dy dξ + N H R n. Therefore, we obtain the following result. Theorem 4.7. Let a S m be a logarithmic slow scale elliptic symbol of order m. Then there exists a logarithmic slow scale elliptic pseudodifferential operator of m order m with symbol p S such that for all u G L 2 ax, D px, Du = u + rx, Du px, D ax, Du = u + sx, Du where rx, D and sx, D are regularizing operators, that is they map G L 2 into G L 2 see section A factorization procedure for the generalized strictly hyperbolic wave operator Concerning products of logarithmic slow scale pseudodifferential operators that approximate the generalized operator L from 3., we will follow the ideas in [22, Appendix II], [7, Chapter 23]. First we recall from 3., n Lx, z, D t, D x, D z = z ρ z + xj ρ x j ρ j= =: z ρ z + A ρ x, z, D t, D x c 2 2 t = 5. where the coefficients /ρ and /c 2 are in G, R n in the variables x, z. This implies that L is an operator of class Ψ 2 Rn R n+ and a representative l of the symbol of L is in S 2 Rn R n+. Furthermore, the symbol of the operator A ρ is in S 2 Rn R n and is given by A ρ x, z, D t, D x = ρ n c 2 2 t x 2 j + j= n j= xj ρ xj.

22 22 M. GLOGOWATZ EJDE-28/42 Note that this operator is only a pseudodifferential operator in x, t depending smoothly on the parameter z on the level of representatives for any fixed, ]. We denote by a ρ S 2 Rn R n the principal symbol of A ρ. Moreover, we set Ax, z, D t, D x := n c 2 x, z 2 t + x 2 j. As already mentioned in section 3, the operator L is not globally strictly hyperbolic but we can restrict the analysis to an appropriate space on which the operator becomes strictly hyperbolic. In particular, we follow Stolk in [29] and introduce the following set of points on which we will then establish the factorization. Therefore we recall from section 3: { } I θ := x, z, τ, ξ R n R n : τ, c x, zτ ξ sin θ 5.2 for some fixed θ, π/2 and c x, z = lim c x, z in C,µ R n as in section 3. Then I θ is a subset of Rn R n \, independent of the regularization parameter, ] and conic with respect to τ, ξ. Fix θ, π/2 and denote by a the principal symbol of A, i.e. a x, z, τ, ξ := τ 2 j= c 2 x, z ξ 2, ]. Then a is logarithmic slow scale elliptic on I θ and the generalized roots [ζ j, ] of the principal symbol of L are given by ζ j, := i a x, z, τ, ξ which satisfy 3.3 on I θ, i.e. ζ, x, z, τ, ξ ζ 2, x, z, τ, ξ C τ, ξ on I θ, for τ, ξ M for some constants C >, M > and all sufficiently small. Indeed, on I θ we have τ 2 a x, z, τ, ξ = c 2 x, z ξ 2 τ 2 c 2 x, z ξ 2 c 2 x, z c 2 τ 2 x, z τ 2 c 2 x, z sin2 θ Cω µ τ 2 Cτ 2 + ξ 2 for some generic constant C > and small enough. So, in particular a ρ is logarithmic slow scale elliptic, since the generalized function /ρ is strongly positive see assumption ii in section 3. Remark 5.. In the classical theory of pseudodifferential operators the characteristic set plays an important role in microlocal analysis. We recall that the characteristic set is defined as the set of points where the homogeneous principal symbol of the operator vanishes. Concerning vanishing properties of the homogeneous principal symbol in the generalized setting, we make the following remarks. We denote by l the principal symbol of L. First note that l ζ; x, z, τ, ξ = ρ x, z ζ2 + a ρ, x, z, τ, ξ = iζ i a x, z, τ, ξ ρ x, z iζ + i a x, z, τ, ξ =

23 EJDE-28/42 FACTORIZATION OF HYPERBOLIC OPERATORS 23 on I θ, τ, ξ M for some constant M > is not classically, i.e. independent of solvable in T R n+ as. But for any x, z, τ, ξ I θ there exists two distinct ζ x, z, τ, ξ such that l ζ ; x, z, τ, ξ = ρ x, z ζ2 + a ρ, x, z, τ, ξ = iζ i a x, z, τ, ξ ρ x, z iζ + i a x, z, τ, ξ = for all τ, ξ M > and, ]. In particular, this is satisfied if we set for fixed x, z, τ, ξ I θ τ ζ x, z, τ, ξ := ± 2 c 2 x, z τ ξ 2 ζx, z, τ, ξ := ± 2 c 2 x, z ξ 2 as. So, the equation has a generalized solution for fixed x, z, τ, ξ I θ. Note that the generalized principal symbol can always be factorized, i.e. l ζ; x, z, τ, ξ = ρ x, z ζ2 + a ρ, x, z, τ, ξ = iζ + i a x, z, τ, ξ ρ x, z iζ i a x, z, τ, ξ on I θ, τ, ξ M regardless of whether the symbol vanishes or not. 2 The roots ζ, x, z, τ, ξ, ζ 2, x, z, τ, ξ of the equation ρ x, z ζ2 + a ρ, x, z, τ, ξ = are called the generalized characteristic roots. Before we state the main theorem of this section, we give a few more details about notation. In the following we will study operators of the form S = 2 j= S j x, z, D t, D x 2 j z on R n+ where the coefficients are operators with symbols S j S kj for some real numbers k j, j =,, 2. Further, we write S = 2 j= S j x, z, D t, D x 2 j z on I θ when the symbols of the coefficients S j are restricted to the set I θ. We will now establish the factorization procedure in order to write the operator L in terms of two first-order pseudodifferential operators of the form L j = z + A j on I θ where A j are pseudodifferential operators with generalized symbols in S, j =, 2. We are now in the position to show the following result. Theorem 5.2. Let L = z ρ z + A ρ x, z, D t, D x and I θ be as in 5. and 5.2 respectively. Then, on the set I θ there are generalized roots {ζ,, ζ 2, } of the principal symbol of L that fulfill the separation property ζ, x, z, τ, ξ ζ 2, x, z, τ, ξ C τ, ξ on I θ, for τ, ξ M

24 24 M. GLOGOWATZ EJDE-28/42 for some constants C >, M >, η, ] and all, η]. Furthermore, the operator L can be factorized into L = L ρ L 2 + R on I θ 5.3 where L j is written as L j = z + A j and A j = A j x, z, D t, D x is a parameterdependent logarithmic slow scale classical generalized pseudodifferential operator of order in t, x. The principal symbol of A j can be chosen either equal to iζ j, = i a, j =, 2 or equal to iζ j, = i a, j =, 2 on I θ. Furthermore, the remainder is given by R = Γ + Γ 2 z for some pseudodifferential operators Γ j = Γ j x, z, D t, D x with parameter z and generalized symbol γ j in on I θ, j =, 2. S Remark 5.3. Note that the product L ρ L 2 in 5.3 is not a pseudodifferential operator on R n+. But one can overcome this by introducing a generalized cut-off ψt, x, z, D t, D x, D z such that the difference ψl ρ L 2 L ρ L 2 is insignificant on some adequate subdomain of the phase space T R n+ under a microlocal point of view. This will be specified in the next section where we introduce a generalized version of microlocal analysis. 5.. Technical Preliminaries. As already mentioned above, the symbol a is logarithmic slow scale elliptic on I θ, θ, π/2, i.e. for any x, z, τ, ξ I θ there exist a relatively compact open neighborhood U of x, z and a conic neighborhood Γ of τ, ξ such that for some r Π, s Π and a constant η, ] we have a x, z, τ, ξ s τ, ξ 2 for x, z, τ, ξ U Γ, τ, ξ r,, η]. As demonstrated in Proposition 4.4, we have stability under lower order logarithmic slow scale perturbations, and therefore the total symbol of the operator A ρ, itself is logarithmic slow scale elliptic on I θ. To describe a factorization for the operator L, we have to give a meaning to the square root of the symbol of A on the set I θ. Note that the square root of a is prescribed on the set I θ. Outside of I θ it is in general not defined but we choose it without the singularity of the square root. We remark that such an extension is equal to a when restricted to I θ. To cut off singularities of the square root of a, we define a generalized symbol χ x, z, τ, ξ S Rn R \ R n homogeneous of degree for τ, ξ and such that { on I θ χ x, z, τ, ξ = outside I θ 2 for angles θ, θ 2, π/2, θ < θ 2. Then, χ a S Rn R \ R n and its restriction to I θ is equal to a. Moreover, χ a vanishes outside I θ 2. Remark 5.4. For the construction of χ we define for every fixed, ] the function f x, z, τ, ξ := c x, zξτ on R n R \ R n.

25 EJDE-28/42 FACTORIZATION OF HYPERBOLIC OPERATORS 25 Then, for every fixed, ] we let χ be the smooth function defined on R n R \ R n, χ, which is given by, f sin γ 2 χ x, z, τ, ξ :=, f sin γ 5.4, sin γ < f < sin γ 2 +e f sin γ sin γ 2 f for some fixed angles γ, γ 2 with < θ < γ < γ 2 < θ 2 < π/2. We therefore get χ = on I θ since there exists η, ] such that I θ {x, z, τ, ξ : τ, c x, zξ/τ sin γ }, η]. To show the inclusion, let x, z, τ, ξ I θ and fx, z, τ, ξ := lim f x, z, τ, ξ. Then there exists a constant C > such that f x, z, τ, ξ f fx, z, τ, ξ + fx, z, τ, ξ c x, z c x, zξ/τ + c x, zξ/τ sin θ Cω µ Since ω µ tends to as and θ < γ, there exists η, ] such that the right-hand side of the last equation is bounded from above by sin γ. Similarly, one can show that there exists η, ] such that for all, η]: {x, z, τ, ξ : τ, c x, zξ/τ sin θ 2 } {x, z, τ, ξ : τ, c x, zξ/τ sin γ 2 } and hence χ = outside I θ 2 note χ is defined only for τ. Indeed f x, z, τ, ξ fx, z, τ, ξ f fx, z, τ, ξ c x, zξ/τ c x, z c x, z c x, z sin θ 2 Cω µ sin γ 2 as. Now, since c G 2, and for every, ] the function χ is smooth on R n R\ R n and homogeneous of order for τ, ξ, we can conclude that χ S Rn R \ R n [4, Example.2] Factorization procedure. The aim is to decompose the operator L as announced in 5.3 in Theorem 5.2. Therefore, we give a construction scheme for the generalized symbols a j, of the operators A j, j =, 2 by means of their asymptotic expansions in the sense of Definition 2.4, that is a j x, z, τ, ξ b µ j x, z, τ, ξ in S cl,i θ 5.5 µ= where the sequence {b µ j } µ N consists of appropriate elements b µ j S µ I θ, j =, 2 and will be constructed recursively. Recall that 5.5 means that there are representatives a j, of a j and b µ j, of b µ j such that for any cut-off ϕ equal to near the origin we have N a j, ϕb µ j, µ= S N I θ. 5.6

Chapter One. The Calderón-Zygmund Theory I: Ellipticity

Chapter One. The Calderón-Zygmund Theory I: Ellipticity Chapter One The Calderón-Zygmund Theory I: Ellipticity Our story begins with a classical situation: convolution with homogeneous, Calderón- Zygmund ( kernels on R n. Let S n 1 R n denote the unit sphere

More information

Microlocal Analysis : a short introduction

Microlocal Analysis : a short introduction Microlocal Analysis : a short introduction Plamen Stefanov Purdue University Mini Course, Fields Institute, 2012 Plamen Stefanov (Purdue University ) Microlocal Analysis : a short introduction 1 / 25 Introduction

More information

MICROLOCAL ANALYSIS METHODS

MICROLOCAL ANALYSIS METHODS MICROLOCAL ANALYSIS METHODS PLAMEN STEFANOV One of the fundamental ideas of classical analysis is a thorough study of functions near a point, i.e., locally. Microlocal analysis, loosely speaking, is analysis

More information

Microlocal analysis of. generalized functions: pseudodifferential techniques and propagation of singularities.

Microlocal analysis of. generalized functions: pseudodifferential techniques and propagation of singularities. Loughborough University Institutional Repository Microlocal analysis of generalized functions: pseudodifferential techniques and propagation of singularities This item was submitted to Loughborough University's

More information

PSEUDODIFFERENTIAL OPERATORS WITH GENERALIZED SYMBOLS AND REGULARITY THEORY

PSEUDODIFFERENTIAL OPERATORS WITH GENERALIZED SYMBOLS AND REGULARITY THEORY Electronic Journal of Differential Equations, Vol. 2005(2005), No. 116, pp. 1 43. ISSN: 1072-6691. URL: http://ejde.math.txstate.edu or http://ejde.math.unt.edu ftp ejde.math.txstate.edu (login: ftp) PSEUDODIFFERENTIAL

More information

Micro-local analysis in Fourier Lebesgue and modulation spaces.

Micro-local analysis in Fourier Lebesgue and modulation spaces. Micro-local analysis in Fourier Lebesgue and modulation spaces. Stevan Pilipović University of Novi Sad Nagoya, September 30, 2009 (Novi Sad) Nagoya, September 30, 2009 1 / 52 Introduction We introduce

More information

Generalized oscillatory integrals and Fourier integral operators

Generalized oscillatory integrals and Fourier integral operators Loughborough University Institutional Repository Generalized oscillatory integrals and Fourier integral operators This item was submitted to Loughborough University's Institutional Repository by the/an

More information

Topics in Harmonic Analysis Lecture 6: Pseudodifferential calculus and almost orthogonality

Topics in Harmonic Analysis Lecture 6: Pseudodifferential calculus and almost orthogonality Topics in Harmonic Analysis Lecture 6: Pseudodifferential calculus and almost orthogonality Po-Lam Yung The Chinese University of Hong Kong Introduction While multiplier operators are very useful in studying

More information

i=1 β i,i.e. = β 1 x β x β 1 1 xβ d

i=1 β i,i.e. = β 1 x β x β 1 1 xβ d 66 2. Every family of seminorms on a vector space containing a norm induces ahausdorff locally convex topology. 3. Given an open subset Ω of R d with the euclidean topology, the space C(Ω) of real valued

More information

Fourier Transform & Sobolev Spaces

Fourier Transform & Sobolev Spaces Fourier Transform & Sobolev Spaces Michael Reiter, Arthur Schuster Summer Term 2008 Abstract We introduce the concept of weak derivative that allows us to define new interesting Hilbert spaces the Sobolev

More information

We denote the space of distributions on Ω by D ( Ω) 2.

We denote the space of distributions on Ω by D ( Ω) 2. Sep. 1 0, 008 Distributions Distributions are generalized functions. Some familiarity with the theory of distributions helps understanding of various function spaces which play important roles in the study

More information

LECTURE 3 Functional spaces on manifolds

LECTURE 3 Functional spaces on manifolds LECTURE 3 Functional spaces on manifolds The aim of this section is to introduce Sobolev spaces on manifolds (or on vector bundles over manifolds). These will be the Banach spaces of sections we were after

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

Laplace s Equation. Chapter Mean Value Formulas

Laplace s Equation. Chapter Mean Value Formulas Chapter 1 Laplace s Equation Let be an open set in R n. A function u C 2 () is called harmonic in if it satisfies Laplace s equation n (1.1) u := D ii u = 0 in. i=1 A function u C 2 () is called subharmonic

More information

ELLIPTIC REGULARITY AND SOLVABILITY FOR PARTIAL DIFFERENTIAL EQUATIONS WITH COLOMBEAU COEFFICIENTS

ELLIPTIC REGULARITY AND SOLVABILITY FOR PARTIAL DIFFERENTIAL EQUATIONS WITH COLOMBEAU COEFFICIENTS Electronic Journal of Differential Equations, Vol. 2004(2004), No. 14, pp. 1 30. ISSN: 1072-6691. URL: http://ejde.math.txstate.edu or http://ejde.math.unt.edu ftp ejde.math.txstate.edu (login: ftp) ELLIPTIC

More information

A new class of pseudodifferential operators with mixed homogenities

A new class of pseudodifferential operators with mixed homogenities A new class of pseudodifferential operators with mixed homogenities Po-Lam Yung University of Oxford Jan 20, 2014 Introduction Given a smooth distribution of hyperplanes on R N (or more generally on a

More information

A Walking Tour of Microlocal Analysis

A Walking Tour of Microlocal Analysis A Walking Tour of Microlocal Analysis Jeff Schonert August 10, 2006 Abstract We summarize some of the basic principles of microlocal analysis and their applications. After reviewing distributions, we then

More information

Introduction to Pseudodifferential Operators

Introduction to Pseudodifferential Operators Introduction to Pseudodifferential Operators Mengxuan Yang Directed by Prof. Dean Baskin May, 206. Introductions and Motivations Classical Mechanics & Quantum Mechanics In classical mechanics, the status

More information

Traces, extensions and co-normal derivatives for elliptic systems on Lipschitz domains

Traces, extensions and co-normal derivatives for elliptic systems on Lipschitz domains Traces, extensions and co-normal derivatives for elliptic systems on Lipschitz domains Sergey E. Mikhailov Brunel University West London, Department of Mathematics, Uxbridge, UB8 3PH, UK J. Math. Analysis

More information

Singularities of affine fibrations in the regularity theory of Fourier integral operators

Singularities of affine fibrations in the regularity theory of Fourier integral operators Russian Math. Surveys, 55 (2000), 93-161. Singularities of affine fibrations in the regularity theory of Fourier integral operators Michael Ruzhansky In the paper the regularity properties of Fourier integral

More information

POINTWISE BOUNDS ON QUASIMODES OF SEMICLASSICAL SCHRÖDINGER OPERATORS IN DIMENSION TWO

POINTWISE BOUNDS ON QUASIMODES OF SEMICLASSICAL SCHRÖDINGER OPERATORS IN DIMENSION TWO POINTWISE BOUNDS ON QUASIMODES OF SEMICLASSICAL SCHRÖDINGER OPERATORS IN DIMENSION TWO HART F. SMITH AND MACIEJ ZWORSKI Abstract. We prove optimal pointwise bounds on quasimodes of semiclassical Schrödinger

More information

u xx + u yy = 0. (5.1)

u xx + u yy = 0. (5.1) Chapter 5 Laplace Equation The following equation is called Laplace equation in two independent variables x, y: The non-homogeneous problem u xx + u yy =. (5.1) u xx + u yy = F, (5.) where F is a function

More information

LECTURE 5: THE METHOD OF STATIONARY PHASE

LECTURE 5: THE METHOD OF STATIONARY PHASE LECTURE 5: THE METHOD OF STATIONARY PHASE Some notions.. A crash course on Fourier transform For j =,, n, j = x j. D j = i j. For any multi-index α = (α,, α n ) N n. α = α + + α n. α! = α! α n!. x α =

More information

Algebras of singular integral operators with kernels controlled by multiple norms

Algebras of singular integral operators with kernels controlled by multiple norms Algebras of singular integral operators with kernels controlled by multiple norms Alexander Nagel Conference in Harmonic Analysis in Honor of Michael Christ This is a report on joint work with Fulvio Ricci,

More information

2 A Model, Harmonic Map, Problem

2 A Model, Harmonic Map, Problem ELLIPTIC SYSTEMS JOHN E. HUTCHINSON Department of Mathematics School of Mathematical Sciences, A.N.U. 1 Introduction Elliptic equations model the behaviour of scalar quantities u, such as temperature or

More information

Locally convex spaces, the hyperplane separation theorem, and the Krein-Milman theorem

Locally convex spaces, the hyperplane separation theorem, and the Krein-Milman theorem 56 Chapter 7 Locally convex spaces, the hyperplane separation theorem, and the Krein-Milman theorem Recall that C(X) is not a normed linear space when X is not compact. On the other hand we could use semi

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

Magnetic wells in dimension three

Magnetic wells in dimension three Magnetic wells in dimension three Yuri A. Kordyukov joint with Bernard Helffer & Nicolas Raymond & San Vũ Ngọc Magnetic Fields and Semiclassical Analysis Rennes, May 21, 2015 Yuri A. Kordyukov (Ufa) Magnetic

More information

2. Function spaces and approximation

2. Function spaces and approximation 2.1 2. Function spaces and approximation 2.1. The space of test functions. Notation and prerequisites are collected in Appendix A. Let Ω be an open subset of R n. The space C0 (Ω), consisting of the C

More information

An introduction to Birkhoff normal form

An introduction to Birkhoff normal form An introduction to Birkhoff normal form Dario Bambusi Dipartimento di Matematica, Universitá di Milano via Saldini 50, 0133 Milano (Italy) 19.11.14 1 Introduction The aim of this note is to present an

More information

S chauder Theory. x 2. = log( x 1 + x 2 ) + 1 ( x 1 + x 2 ) 2. ( 5) x 1 + x 2 x 1 + x 2. 2 = 2 x 1. x 1 x 2. 1 x 1.

S chauder Theory. x 2. = log( x 1 + x 2 ) + 1 ( x 1 + x 2 ) 2. ( 5) x 1 + x 2 x 1 + x 2. 2 = 2 x 1. x 1 x 2. 1 x 1. Sep. 1 9 Intuitively, the solution u to the Poisson equation S chauder Theory u = f 1 should have better regularity than the right hand side f. In particular one expects u to be twice more differentiable

More information

An inverse scattering problem in random media

An inverse scattering problem in random media An inverse scattering problem in random media Pedro Caro Joint work with: Tapio Helin & Matti Lassas Computational and Analytic Problems in Spectral Theory June 8, 2016 Outline Introduction and motivation

More information

Topological structures in Colombeau algebras:

Topological structures in Colombeau algebras: Loughborough University Institutional Repository Topological structures in Colombeau algebras: investigation of the duals of script G sign c (omega), script G sign(omega) and script G sign script S sign

More information

Compact operators on Banach spaces

Compact operators on Banach spaces Compact operators on Banach spaces Jordan Bell jordan.bell@gmail.com Department of Mathematics, University of Toronto November 12, 2017 1 Introduction In this note I prove several things about compact

More information

On stable inversion of the attenuated Radon transform with half data Jan Boman. We shall consider weighted Radon transforms of the form

On stable inversion of the attenuated Radon transform with half data Jan Boman. We shall consider weighted Radon transforms of the form On stable inversion of the attenuated Radon transform with half data Jan Boman We shall consider weighted Radon transforms of the form R ρ f(l) = f(x)ρ(x, L)ds, L where ρ is a given smooth, positive weight

More information

Banach Spaces V: A Closer Look at the w- and the w -Topologies

Banach Spaces V: A Closer Look at the w- and the w -Topologies BS V c Gabriel Nagy Banach Spaces V: A Closer Look at the w- and the w -Topologies Notes from the Functional Analysis Course (Fall 07 - Spring 08) In this section we discuss two important, but highly non-trivial,

More information

ALMOST AUTOMORPHIC GENERALIZED FUNCTIONS

ALMOST AUTOMORPHIC GENERALIZED FUNCTIONS Novi Sad J. Math. Vol. 45 No. 1 2015 207-214 ALMOST AUTOMOPHIC GENEALIZED FUNCTIONS Chikh Bouzar 1 Mohammed Taha Khalladi 2 and Fatima Zohra Tchouar 3 Abstract. The paper deals with a new algebra of generalized

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

EXPOSITORY NOTES ON DISTRIBUTION THEORY, FALL 2018

EXPOSITORY NOTES ON DISTRIBUTION THEORY, FALL 2018 EXPOSITORY NOTES ON DISTRIBUTION THEORY, FALL 2018 While these notes are under construction, I expect there will be many typos. The main reference for this is volume 1 of Hörmander, The analysis of liner

More information

10. Smooth Varieties. 82 Andreas Gathmann

10. Smooth Varieties. 82 Andreas Gathmann 82 Andreas Gathmann 10. Smooth Varieties Let a be a point on a variety X. In the last chapter we have introduced the tangent cone C a X as a way to study X locally around a (see Construction 9.20). It

More information

Topological properties

Topological properties CHAPTER 4 Topological properties 1. Connectedness Definitions and examples Basic properties Connected components Connected versus path connected, again 2. Compactness Definition and first examples Topological

More information

SELF-ADJOINTNESS OF SCHRÖDINGER-TYPE OPERATORS WITH SINGULAR POTENTIALS ON MANIFOLDS OF BOUNDED GEOMETRY

SELF-ADJOINTNESS OF SCHRÖDINGER-TYPE OPERATORS WITH SINGULAR POTENTIALS ON MANIFOLDS OF BOUNDED GEOMETRY Electronic Journal of Differential Equations, Vol. 2003(2003), No.??, pp. 1 8. ISSN: 1072-6691. URL: http://ejde.math.swt.edu or http://ejde.math.unt.edu ftp ejde.math.swt.edu (login: ftp) SELF-ADJOINTNESS

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

LECTURE 5 APPLICATIONS OF BDIE METHOD: ACOUSTIC SCATTERING BY INHOMOGENEOUS ANISOTROPIC OBSTACLES DAVID NATROSHVILI

LECTURE 5 APPLICATIONS OF BDIE METHOD: ACOUSTIC SCATTERING BY INHOMOGENEOUS ANISOTROPIC OBSTACLES DAVID NATROSHVILI LECTURE 5 APPLICATIONS OF BDIE METHOD: ACOUSTIC SCATTERING BY INHOMOGENEOUS ANISOTROPIC OBSTACLES DAVID NATROSHVILI Georgian Technical University Tbilisi, GEORGIA 0-0 1. Formulation of the corresponding

More information

Tools from Lebesgue integration

Tools from Lebesgue integration Tools from Lebesgue integration E.P. van den Ban Fall 2005 Introduction In these notes we describe some of the basic tools from the theory of Lebesgue integration. Definitions and results will be given

More information

Notes for Elliptic operators

Notes for Elliptic operators Notes for 18.117 Elliptic operators 1 Differential operators on R n Let U be an open subset of R n and let D k be the differential operator, 1 1 x k. For every multi-index, α = α 1,...,α n, we define A

More information

6 Lecture 6: More constructions with Huber rings

6 Lecture 6: More constructions with Huber rings 6 Lecture 6: More constructions with Huber rings 6.1 Introduction Recall from Definition 5.2.4 that a Huber ring is a commutative topological ring A equipped with an open subring A 0, such that the subspace

More information

A LOWER BOUND ON BLOWUP RATES FOR THE 3D INCOMPRESSIBLE EULER EQUATION AND A SINGLE EXPONENTIAL BEALE-KATO-MAJDA ESTIMATE. 1.

A LOWER BOUND ON BLOWUP RATES FOR THE 3D INCOMPRESSIBLE EULER EQUATION AND A SINGLE EXPONENTIAL BEALE-KATO-MAJDA ESTIMATE. 1. A LOWER BOUND ON BLOWUP RATES FOR THE 3D INCOMPRESSIBLE EULER EQUATION AND A SINGLE EXPONENTIAL BEALE-KATO-MAJDA ESTIMATE THOMAS CHEN AND NATAŠA PAVLOVIĆ Abstract. We prove a Beale-Kato-Majda criterion

More information

SPRING 2006 PRELIMINARY EXAMINATION SOLUTIONS

SPRING 2006 PRELIMINARY EXAMINATION SOLUTIONS SPRING 006 PRELIMINARY EXAMINATION SOLUTIONS 1A. Let G be the subgroup of the free abelian group Z 4 consisting of all integer vectors (x, y, z, w) such that x + 3y + 5z + 7w = 0. (a) Determine a linearly

More information

STOKES PROBLEM WITH SEVERAL TYPES OF BOUNDARY CONDITIONS IN AN EXTERIOR DOMAIN

STOKES PROBLEM WITH SEVERAL TYPES OF BOUNDARY CONDITIONS IN AN EXTERIOR DOMAIN Electronic Journal of Differential Equations, Vol. 2013 2013, No. 196, pp. 1 28. ISSN: 1072-6691. URL: http://ejde.math.txstate.edu or http://ejde.math.unt.edu ftp ejde.math.txstate.edu STOKES PROBLEM

More information

arxiv:math/ v4 [math.ap] 11 Aug 2003

arxiv:math/ v4 [math.ap] 11 Aug 2003 FIRST-ORDER HYPERBOLIC PSEUDODIFFERENTIAL EQUATIONS WITH GENERALIZED SYMBOLS GÜNTHER HÖRMANN arxiv:math/3746v4 [math.ap] 11 Aug 23 Abstract. We consider the Cauchy problem for a hyperbolic pseudodifferential

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

Generalized function algebras as sequence space algebras

Generalized function algebras as sequence space algebras Generalized function algebras as sequence space algebras Antoine Delcroix Maximilian F. Hasler Stevan Pilipović Vincent Valmorin 24 April 2002 Abstract A topological description of various generalized

More information

Oscillatory integrals

Oscillatory integrals Chapter Oscillatory integrals. Fourier transform on S The Fourier transform is a fundamental tool in microlocal analysis and its application to the theory of PDEs and inverse problems. In this first section

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

Sharp Gårding inequality on compact Lie groups.

Sharp Gårding inequality on compact Lie groups. 15-19.10.2012, ESI, Wien, Phase space methods for pseudo-differential operators Ville Turunen, Aalto University, Finland (ville.turunen@aalto.fi) M. Ruzhansky, V. Turunen: Sharp Gårding inequality on compact

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

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

Regularity for Poisson Equation

Regularity for Poisson Equation Regularity for Poisson Equation OcMountain Daylight Time. 4, 20 Intuitively, the solution u to the Poisson equation u= f () should have better regularity than the right hand side f. In particular one expects

More information

Elliptic Regularity. Throughout we assume all vector bundles are smooth bundles with metrics over a Riemannian manifold X n.

Elliptic Regularity. Throughout we assume all vector bundles are smooth bundles with metrics over a Riemannian manifold X n. Elliptic Regularity Throughout we assume all vector bundles are smooth bundles with metrics over a Riemannian manifold X n. 1 Review of Hodge Theory In this note I outline the proof of the following Fundamental

More information

FRAMES AND TIME-FREQUENCY ANALYSIS

FRAMES AND TIME-FREQUENCY ANALYSIS FRAMES AND TIME-FREQUENCY ANALYSIS LECTURE 5: MODULATION SPACES AND APPLICATIONS Christopher Heil Georgia Tech heil@math.gatech.edu http://www.math.gatech.edu/ heil READING For background on Banach spaces,

More information

THE STOKES SYSTEM R.E. SHOWALTER

THE STOKES SYSTEM R.E. SHOWALTER THE STOKES SYSTEM R.E. SHOWALTER Contents 1. Stokes System 1 Stokes System 2 2. The Weak Solution of the Stokes System 3 3. The Strong Solution 4 4. The Normal Trace 6 5. The Mixed Problem 7 6. The Navier-Stokes

More information

MAT 578 FUNCTIONAL ANALYSIS EXERCISES

MAT 578 FUNCTIONAL ANALYSIS EXERCISES MAT 578 FUNCTIONAL ANALYSIS EXERCISES JOHN QUIGG Exercise 1. Prove that if A is bounded in a topological vector space, then for every neighborhood V of 0 there exists c > 0 such that tv A for all t > c.

More information

7 Complete metric spaces and function spaces

7 Complete metric spaces and function spaces 7 Complete metric spaces and function spaces 7.1 Completeness Let (X, d) be a metric space. Definition 7.1. A sequence (x n ) n N in X is a Cauchy sequence if for any ɛ > 0, there is N N such that n, m

More information

Kernel Method: Data Analysis with Positive Definite Kernels

Kernel Method: Data Analysis with Positive Definite Kernels Kernel Method: Data Analysis with Positive Definite Kernels 2. Positive Definite Kernel and Reproducing Kernel Hilbert Space Kenji Fukumizu The Institute of Statistical Mathematics. Graduate University

More information

The Calderon-Vaillancourt Theorem

The Calderon-Vaillancourt Theorem The Calderon-Vaillancourt Theorem What follows is a completely self contained proof of the Calderon-Vaillancourt Theorem on the L 2 boundedness of pseudo-differential operators. 1 The result Definition

More information

The Schrödinger propagator for scattering metrics

The Schrödinger propagator for scattering metrics The Schrödinger propagator for scattering metrics Andrew Hassell (Australian National University) joint work with Jared Wunsch (Northwestern) MSRI, May 5-9, 2003 http://arxiv.org/math.ap/0301341 1 Schrödinger

More information

The oblique derivative problem for general elliptic systems in Lipschitz domains

The oblique derivative problem for general elliptic systems in Lipschitz domains M. MITREA The oblique derivative problem for general elliptic systems in Lipschitz domains Let M be a smooth, oriented, connected, compact, boundaryless manifold of real dimension m, and let T M and T

More information

Part III. 10 Topological Space Basics. Topological Spaces

Part III. 10 Topological Space Basics. Topological Spaces Part III 10 Topological Space Basics Topological Spaces Using the metric space results above as motivation we will axiomatize the notion of being an open set to more general settings. Definition 10.1.

More information

A COUNTEREXAMPLE TO AN ENDPOINT BILINEAR STRICHARTZ INEQUALITY TERENCE TAO. t L x (R R2 ) f L 2 x (R2 )

A COUNTEREXAMPLE TO AN ENDPOINT BILINEAR STRICHARTZ INEQUALITY TERENCE TAO. t L x (R R2 ) f L 2 x (R2 ) Electronic Journal of Differential Equations, Vol. 2006(2006), No. 5, pp. 6. ISSN: 072-669. URL: http://ejde.math.txstate.edu or http://ejde.math.unt.edu ftp ejde.math.txstate.edu (login: ftp) A COUNTEREXAMPLE

More information

THE INVERSE FUNCTION THEOREM FOR LIPSCHITZ MAPS

THE INVERSE FUNCTION THEOREM FOR LIPSCHITZ MAPS THE INVERSE FUNCTION THEOREM FOR LIPSCHITZ MAPS RALPH HOWARD DEPARTMENT OF MATHEMATICS UNIVERSITY OF SOUTH CAROLINA COLUMBIA, S.C. 29208, USA HOWARD@MATH.SC.EDU Abstract. This is an edited version of a

More information

Microlocal Methods in X-ray Tomography

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

More information

9. Boundary value problems in a constant-coefficient case

9. Boundary value problems in a constant-coefficient case 9.1 9. Boundary value problems in a constant-coefficient case 9.1. Boundary maps for the half-space. We have considered various realizations in Section 4.4 of the Laplacian and similar operators, defined

More information

Finite-dimensional spaces. C n is the space of n-tuples x = (x 1,..., x n ) of complex numbers. It is a Hilbert space with the inner product

Finite-dimensional spaces. C n is the space of n-tuples x = (x 1,..., x n ) of complex numbers. It is a Hilbert space with the inner product Chapter 4 Hilbert Spaces 4.1 Inner Product Spaces Inner Product Space. A complex vector space E is called an inner product space (or a pre-hilbert space, or a unitary space) if there is a mapping (, )

More information

Sharp estimates for a class of hyperbolic pseudo-differential equations

Sharp estimates for a class of hyperbolic pseudo-differential equations Results in Math., 41 (2002), 361-368. Sharp estimates for a class of hyperbolic pseudo-differential equations Michael Ruzhansky Abstract In this paper we consider the Cauchy problem for a class of hyperbolic

More information

8 Singular Integral Operators and L p -Regularity Theory

8 Singular Integral Operators and L p -Regularity Theory 8 Singular Integral Operators and L p -Regularity Theory 8. Motivation See hand-written notes! 8.2 Mikhlin Multiplier Theorem Recall that the Fourier transformation F and the inverse Fourier transformation

More information

Methods of constructing topological vector spaces

Methods of constructing topological vector spaces CHAPTER 2 Methods of constructing topological vector spaces In this chapter we consider projective limits (in particular, products) of families of topological vector spaces, inductive limits (in particular,

More information

NONHOMOGENEOUS ELLIPTIC EQUATIONS INVOLVING CRITICAL SOBOLEV EXPONENT AND WEIGHT

NONHOMOGENEOUS ELLIPTIC EQUATIONS INVOLVING CRITICAL SOBOLEV EXPONENT AND WEIGHT Electronic Journal of Differential Equations, Vol. 016 (016), No. 08, pp. 1 1. ISSN: 107-6691. URL: http://ejde.math.txstate.edu or http://ejde.math.unt.edu ftp ejde.math.txstate.edu NONHOMOGENEOUS ELLIPTIC

More information

B 1 = {B(x, r) x = (x 1, x 2 ) H, 0 < r < x 2 }. (a) Show that B = B 1 B 2 is a basis for a topology on X.

B 1 = {B(x, r) x = (x 1, x 2 ) H, 0 < r < x 2 }. (a) Show that B = B 1 B 2 is a basis for a topology on X. Math 6342/7350: Topology and Geometry Sample Preliminary Exam Questions 1. For each of the following topological spaces X i, determine whether X i and X i X i are homeomorphic. (a) X 1 = [0, 1] (b) X 2

More information

Short note on compact operators - Monday 24 th March, Sylvester Eriksson-Bique

Short note on compact operators - Monday 24 th March, Sylvester Eriksson-Bique Short note on compact operators - Monday 24 th March, 2014 Sylvester Eriksson-Bique 1 Introduction In this note I will give a short outline about the structure theory of compact operators. I restrict attention

More information

EXISTENCE OF SOLUTIONS TO ASYMPTOTICALLY PERIODIC SCHRÖDINGER EQUATIONS

EXISTENCE OF SOLUTIONS TO ASYMPTOTICALLY PERIODIC SCHRÖDINGER EQUATIONS Electronic Journal of Differential Equations, Vol. 017 (017), No. 15, pp. 1 7. ISSN: 107-6691. URL: http://ejde.math.txstate.edu or http://ejde.math.unt.edu EXISTENCE OF SOLUTIONS TO ASYMPTOTICALLY PERIODIC

More information

ANALYSIS OF A SCALAR PERIDYNAMIC MODEL WITH A SIGN CHANGING KERNEL. Tadele Mengesha. Qiang Du. (Communicated by the associate editor name)

ANALYSIS OF A SCALAR PERIDYNAMIC MODEL WITH A SIGN CHANGING KERNEL. Tadele Mengesha. Qiang Du. (Communicated by the associate editor name) Manuscript submitted to AIMS Journals Volume X, Number 0X, XX 200X doi:10.3934/xx.xx.xx.xx pp. X XX ANALYSIS OF A SCALAR PERIDYNAMIC MODEL WITH A SIGN CHANGING KERNEL Tadele Mengesha Department of Mathematics

More information

Miroslav Engliš. (Ω) possesses a reproducing kernel the Bergman kernel B(x, y) of Ω; namely, B(, y) L 2 hol

Miroslav Engliš. (Ω) possesses a reproducing kernel the Bergman kernel B(x, y) of Ω; namely, B(, y) L 2 hol BOUNDARY SINGULARITY OF POISSON AND HARMONIC BERGMAN KERNELS Miroslav Engliš Abstract. We give a complete description of the boundary behaviour of the Poisson kernel and the harmonic Bergman kernel of

More information

INTRODUCTION TO REAL ANALYTIC GEOMETRY

INTRODUCTION TO REAL ANALYTIC GEOMETRY INTRODUCTION TO REAL ANALYTIC GEOMETRY KRZYSZTOF KURDYKA 1. Analytic functions in several variables 1.1. Summable families. Let (E, ) be a normed space over the field R or C, dim E

More information

Introduction to Microlocal Analysis

Introduction to Microlocal Analysis Introduction to Microlocal Analysis First lecture: Basics Dorothea Bahns (Göttingen) Third Summer School on Dynamical Approaches in Spectral Geometry Microlocal Methods in Global Analysis University of

More information

Exercise Solutions to Functional Analysis

Exercise Solutions to Functional Analysis Exercise Solutions to Functional Analysis Note: References refer to M. Schechter, Principles of Functional Analysis Exersize that. Let φ,..., φ n be an orthonormal set in a Hilbert space H. Show n f n

More information

Here we used the multiindex notation:

Here we used the multiindex notation: Mathematics Department Stanford University Math 51H Distributions Distributions first arose in solving partial differential equations by duality arguments; a later related benefit was that one could always

More information

PERTURBATION THEORY FOR NONLINEAR DIRICHLET PROBLEMS

PERTURBATION THEORY FOR NONLINEAR DIRICHLET PROBLEMS Annales Academiæ Scientiarum Fennicæ Mathematica Volumen 28, 2003, 207 222 PERTURBATION THEORY FOR NONLINEAR DIRICHLET PROBLEMS Fumi-Yuki Maeda and Takayori Ono Hiroshima Institute of Technology, Miyake,

More information

Green s Functions and Distributions

Green s Functions and Distributions CHAPTER 9 Green s Functions and Distributions 9.1. Boundary Value Problems We would like to study, and solve if possible, boundary value problems such as the following: (1.1) u = f in U u = g on U, where

More information

The following definition is fundamental.

The following definition is fundamental. 1. Some Basics from Linear Algebra With these notes, I will try and clarify certain topics that I only quickly mention in class. First and foremost, I will assume that you are familiar with many basic

More information

Notes on Distributions

Notes on Distributions Notes on Distributions Functional Analysis 1 Locally Convex Spaces Definition 1. A vector space (over R or C) is said to be a topological vector space (TVS) if it is a Hausdorff topological space and the

More information

Elliptic Problems for Pseudo Differential Equations in a Polyhedral Cone

Elliptic Problems for Pseudo Differential Equations in a Polyhedral Cone Advances in Dynamical Systems and Applications ISSN 0973-5321, Volume 9, Number 2, pp. 227 237 (2014) http://campus.mst.edu/adsa Elliptic Problems for Pseudo Differential Equations in a Polyhedral Cone

More information

Lectures on. Sobolev Spaces. S. Kesavan The Institute of Mathematical Sciences, Chennai.

Lectures on. Sobolev Spaces. S. Kesavan The Institute of Mathematical Sciences, Chennai. Lectures on Sobolev Spaces S. Kesavan The Institute of Mathematical Sciences, Chennai. e-mail: kesh@imsc.res.in 2 1 Distributions In this section we will, very briefly, recall concepts from the theory

More information

Introduction to Topology

Introduction to Topology Introduction to Topology Randall R. Holmes Auburn University Typeset by AMS-TEX Chapter 1. Metric Spaces 1. Definition and Examples. As the course progresses we will need to review some basic notions about

More information

ON PARABOLIC HARNACK INEQUALITY

ON PARABOLIC HARNACK INEQUALITY ON PARABOLIC HARNACK INEQUALITY JIAXIN HU Abstract. We show that the parabolic Harnack inequality is equivalent to the near-diagonal lower bound of the Dirichlet heat kernel on any ball in a metric measure-energy

More information

RANDOM PROPERTIES BENOIT PAUSADER

RANDOM PROPERTIES BENOIT PAUSADER RANDOM PROPERTIES BENOIT PAUSADER. Quasilinear problems In general, one consider the following trichotomy for nonlinear PDEs: A semilinear problem is a problem where the highest-order terms appears linearly

More information

Stability of Feedback Solutions for Infinite Horizon Noncooperative Differential Games

Stability of Feedback Solutions for Infinite Horizon Noncooperative Differential Games Stability of Feedback Solutions for Infinite Horizon Noncooperative Differential Games Alberto Bressan ) and Khai T. Nguyen ) *) Department of Mathematics, Penn State University **) Department of Mathematics,

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

B. Appendix B. Topological vector spaces

B. Appendix B. Topological vector spaces B.1 B. Appendix B. Topological vector spaces B.1. Fréchet spaces. In this appendix we go through the definition of Fréchet spaces and their inductive limits, such as they are used for definitions of function

More information

1 Differentiable manifolds and smooth maps

1 Differentiable manifolds and smooth maps 1 Differentiable manifolds and smooth maps Last updated: April 14, 2011. 1.1 Examples and definitions Roughly, manifolds are sets where one can introduce coordinates. An n-dimensional manifold is a set

More information