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Abstract elliptic operators appearing in atmospheric dispersion

An Erratum to this article was published on 14 May 2014

Abstract

In this paper, the boundary value problem for the differential-operator equation with principal variable coefficients is studied. Several conditions for the separability and regularity in abstract L p -spaces are given. Moreover, sharp uniform estimates for the resolvent of the corresponding elliptic differential operator are shown. It is implies that this operator is positive and also is a generator of an analytic semigroup. Then the existence and uniqueness of maximal regular solution to nonlinear abstract parabolic problem is derived. In an application, maximal regularity properties of the abstract parabolic equation with variable coefficients and systems of parabolic equations are derived in mixed L p -spaces.

MSC:34G10, 34B10, 35J25.

1 Introduction

It is well known that many classes of PDEs, pseudo DEs and integro DEs can be expressed as a differential-operator equation (DOE). DOEs have been studied extensively in the literature (see [122] and the references therein). Note the regularity results for the PDE studied e.g. in [11, 2325]. The main goal of the present paper is to discuss the maximal regularity properties of nonlocal boundary value problems (BVPs) for the following DOE:

k = 1 n a k (x) 2 u x k 2 +A(x)u+ k = 1 n A k (x) u x k =f(x),xG R n .
(1.1)

Afterwards, the well-posedness of initial and BVP (IBVP) for the following abstract parabolic equation:

u t + k = 1 n a k (x) 2 u x k 2 +A(x)u+ k = 1 n A k (x) u x k =f(x,t),t(0,T),xG,

is derived, where a k (x) are complex-valued functions, A and A k are linear operators in a Banach space E, u(x) and f(x), respectively, are an E-valued unknown and data function. By using this, we obtain the existence and uniqueness result of IBVP for the following nonlinear parabolic equation:

u t + k = 1 n a k (x) 2 u x k 2 +B(t,x,u)u=F(t,x,u,u).

Finally, we discuss the application of the above result to systems of parabolic PDEs. Particularly, we consider the system that serves as a model of systems used to describe photochemical generation and atmospheric dispersion of ozone and other pollutants. The model of the process is given by the atmospheric reaction-advection-diffusion system having the form

u i t = k = 1 3 [ a k i ( x ) 2 u i x k 2 + b k i ( x ) x k ( u i ω k ) ] + k = 1 3 d k u k + f i ( u ) + g i , x D , t ( 0 , T ) ,

where

D = { x = ( x 1 , x 2 , x 3 ) , 0 < x k < b k , } , u i = u i ( t , x ) , i , k = 1 , 2 , 3 , u = u ( t , x ) = ( u 1 , u 2 , u 3 ) ,

and the state variables u i represent concentration densities of the chemical species involved in the photochemical reaction. The relevant chemistry of the chemical species involved in the photochemical reaction appears in the nonlinear functions f i (u) with the terms g i , representing elevated point sources, and where a k i (x), b k i (x) are real-valued functions. The advection terms ω=ω(x)=( ω 1 (x), ω 2 (x), ω 3 (x)) describe transport of the velocity vector field of atmospheric currents or wind; see [4] and references therein.

2 Definitions, notations, and background

Let E be a Banach space. L p (Ω;E) denotes the space of strongly measurable E-valued functions that are defined on the measurable subset Ω R n with the norm

f L p = f L p ( Ω ; E ) = ( Ω f ( x ) E p d x ) 1 p ,1p<.

The Banach space E is called an UMD-space if the Hilbert operator

(Hf)(x)= lim ε 0 | x y | > ε f ( y ) x y dy

is bounded in L p (R,E), p(1,) (see, e.g., [26]). UMD-spaces include e.g. L p , l p spaces and Lorentz spaces L p q , p,q(1,).

Let

S ψ = { λ C , | arg λ | ψ , 0 ψ < π } , S ψ , ϰ = { λ S ψ , | λ | > ϰ > 0 } .

A linear operator A is said to be ψ-positive in a Banach space E with bound M>0 if D(A) is dense on E and ( A + λ I ) 1 L ( E ) M ( 1 + | λ | ) 1 for any λ S ψ , 0ψ<π, where I is the identity operator in E, and L(E) is the space of bounded linear operators in E. It is well known [[25], §1.15.1] that there exist fractional powers A θ of a positive operator A. Let E( A θ ) denote the space D( A θ ) endowed with the norm

u E ( A θ ) = ( u p + A θ u p ) 1 p ,1p<,0<θ<.

Let E 1 and E 2 be two Banach spaces. By ( E 1 , E 2 ) θ , p , 0<θ<1, 1p, will be denoted the interpolation spaces obtained from { E 1 , E 2 } by the K-method [[25], §1.3.2].

Let denote the set of natural numbers. A set ΦB( E 1 , E 2 ) is called R-bounded (see, e.g., [3]) if there is a positive constant C such that for all T 1 , T 2 ,, T m Φ and u 1 , u 2 ,, u m E 1 , mN,

Ω j = 1 m r j ( y ) T j u j E 2 dyC Ω j = 1 m r j ( y ) u j E 1 dy,

where { r j } is a sequence of independent symmetric {1,1}-valued random variables on Ω. The smallest C for which the above estimate holds is called a R-bound of the collection Φ and denoted by R(Φ).

Since we will consider the problem with spectral parameter, we need the concept of the uniform R-boudedness of a parameter-dependent family of operators. A set Φ h B( E 1 , E 2 ) is called the uniform R-bounded with respect to the parameter hQC if there is a constant M independent on h such that

Ω j = 1 m r j ( y ) T j ( h ) u j E 2 dyM Ω j = 1 m r j ( y ) u j E 1 dy

for all T 1 (h), T 2 (h),, T m (h) Φ h and u 1 , u 2 ,, u m E 1 , mN and { r j }. It is implied that sup h Q R( Φ h )M.

The ψ-positive operator A is said to be R-positive in a Banach space E if the set L A ={ξ ( A + ξ ) 1 :ξ S ψ }, 0ψ<π, is R-bounded.

The operator A(t) is said to be ψ-positive in E uniformly with respect to t with bound M>0 if D(A(t)) is independent of t, D(A(t)) is dense in E and ( A ( t ) + λ ) 1 M 1 + | λ | for all λ S ψ , 0ψ<π, where M does not depend on t and λ.

Let E 0 and E be two Banach spaces. E 0 is continuously and densely embedded into E. Let Ω be a domain in R n and m be a positive integer. W m , p (Ω; E 0 ,E) denotes the space of all functions u L p (Ω; E 0 ) that have generalized derivatives m u x k m L p (Ω;E) with the norm

u W m , p ( Ω ; E 0 , E ) = u L p ( Ω ; E 0 ) + k = 1 n m u x k m L p ( Ω ; E ) <.

For n=1, Ω=(a,b), a,bR, the space W m , p (Ω; E 0 ,E) will be denoted by W m , p (a,b; E 0 ,E). For E 0 =E the space W m , p (Ω; E 0 ,E) is denoted by W m , p (Ω;E).

Sometimes we use one and the same symbol C without distinction in order to denote positive constants which may differ from each other even in a single context. When we want to specify the dependence of such a constant on a parameter, say α, we write C α .

The embedding theorems in vector-valued spaces play a key role in the theory of DOEs. For estimating lower order derivatives we use following embedding theorems from [17].

Theorem A 1 Suppose the following conditions are satisfied:

  1. (1)

    E is a UMD-space and A is an R-positive operator in E;

  2. (2)

    α=( α 1 , α 2 ,, α n ) is an n-tuple of nonnegative integer numbers and m is a positive integer such that

    ϰ= k = 1 n | α | m 1,0μ1ϰ,1<p<;
  3. (3)

    h is a positive parameter with 0<h h 0 , where h 0 is a fixed positive number;

  4. (4)

    Ω R n is a region such that there exists a bounded linear extension operator from W m , p (Ω;E(A),E) to W m , p ( R n ;E(A),E).

Then the embedding D α W m , p (Ω;E(A),E) L p (Ω;E( A 1 ϰ μ )) is continuous and for u W m , p (Ω;E(A),E) the following uniform estimate holds:

D α u L p ( Ω ; E ( A 1 ϰ μ ) ) h μ u W m , p ( Ω ; E ( A ) , E ) + h ( 1 μ ) u L p ( Ω ; E ) .

Remark 2.1 If Ω R n is a region satisfying the strong m-horn condition (see [[27], §7]), E=R, A=I, then for p(1,) there exists a bounded linear extension operator from W m , p (Ω)= W m , p (Ω;R,R) to W m , p ( R n )= W m , p ( R n ;R,R).

Theorem A 2 Suppose all conditions of Theorem  A1 are satisfied and 0<μ1ϰ. Moreover, let Ω be a bounded region and A 1 σ (E). Then the embedding

D α W m , p ( Ω ; E ( A ) , E ) L p ( Ω ; E ( A 1 ϰ μ ) )

is compact.

Theorem A 3 Suppose all conditions of Theorem  A1 are satisfied. Let 0<μ1ϰ. Then the embedding

D α W m , p ( Ω ; E ( A ) , E ) L p ( Ω ; ( E ( A ) , E ) ϰ , p )

is continuous and there exists a positive constant C μ such that for all u W p l (Ω;E(A),E) the uniform estimate holds:

D α u L p ( Ω ; ( E ( A ) , E ) ϰ , p ) C μ [ h μ u W m , p ( Ω ; E ( A ) , E ) + h ( 1 μ ) u L p ( Ω ; E ) ] .

From [[14], Theorem 2.1] we obtain the following.

Theorem A 4 Let E be a Banach space, A be a φ-positive operator in E with bound M, 0φ<π. Let m be a positive integer, 1<p< and α( 1 2 p , 1 2 p +m). Then, for λ S φ an operator A λ 1 2 generates a semigroup e x A λ 1 2 which is holomorphic for x>0. Moreover, there exists a positive constant C (depending only on M, φ, m, α, and p) such that for every u ( E , E ( A m ) ) α m 1 2 m p , p and λ S φ ,

0 A λ α e x A λ 1 2 u p dxC [ u ( E , E ( A m ) ) α m 1 2 m p , p p + | λ | α p 1 2 u E p ] .

3 Boundary value problems for abstract elliptic equations with constant coefficients

Consider first the BVP for the constant coefficients DOE

k = 1 n a k 2 u x k 2 +(A+λ)u=f(x),xG,
(3.1)
i = 0 m k j [ α k j i i u x k i ( G k 0 ) + β k j i i u x k i ( G k b ) ] =0, x ( k ) G k ,j=1,2,
(3.2)

where

x = ( x 1 , x 2 , , x n ) G = k = 1 n ( 0 , b k ) , m k j { 0 , 1 } , x ( k ) = ( x 1 , x 2 , , x k 1 , x k + 1 , , x n ) G k = j k ( 0 , b j ) , G k 0 = ( x 1 , x 2 , , x k 1 , 0 , x k + 1 , , x n ) , G k b = ( x 1 , x 2 , , x k 1 , b k , x k + 1 , , x n ) ;

here A is a linear operator in a Banach space E, a k are complex numbers, and λ is a complex parameter.

Let α k j = α k j m k and β k j = β k j m k . Let ω k i , i=1,2 denote the roots of the equations

a k ω 2 =1,k=1,2,,n

and

η k =| α k 1 ( ω k 1 ) m k 1 β k 1 ω k 1 m k 1 α k 2 ( ω k 1 ) m k 2 β k 2 ω k 2 m k 2 |.

Condition 3.1 Assume;

  1. (1)

    E is a UMD-space and A is a uniformly R-positive operator in E for φ[0,π);

  2. (2)

    a k 0, a k S( φ 0 )C/ R + , φ+ φ 0 <π;

  3. (3)

    | α k j |+| β k j |>0, η k 0, k=1,2,,n, j=1,2.

The main result of this section is the following.

Theorem 3.1 Assume Condition 3.1 is satisfied. Then problem (3.1)-(3.2) has a unique solution u W 2 + m , p (G;E(A),E) for f W m , p (G;E), p(1,), λ S ψ , ϰ with sufficiently large |λ| and the following uniform coercive estimate holds:

k = 1 n i = 0 m + 2 |λ | 1 i m + 2 i u x k i L p ( G ; E ) + A u L p ( G ; E ) C f W m , p ( G ; E ) .
(3.3)

For proving Theorem 3.1, we consider the BVP for the ordinary DOE

( L + λ ) u = a u ( 2 ) ( x ) + ( A + λ ) u ( x ) = f ( x ) , x ( 0 , 1 ) , L k u = i = 0 m k [ α k i u ( i ) ( 0 ) + β k i u ( i ) ( 1 ) ] = f k , k = 1 , 2 ,
(3.4)

where f L p (0,1;E), f k E k = ( E ( A ) , E ) θ k , p , θ k = 1 2 ( m k + 1 p ), p(1,), m k {0,1}, α k i , β k i are complex numbers, a is a complex number, λ is a complex parameter, and A is a linear operator in E. Let us first consider the corresponding homogeneous problem:

(L+λ)u=a u ( 2 ) (x)+(A+λ)u(x)=0,
(3.5)
L k u= i = 0 m k [ α k i u ( i ) ( 0 ) + β k i u ( i ) ( 1 ) ] = f k ,k=1,2.
(3.6)

Let ω i , i=1,2 be roots of equations a ω 2 =1. We put α k = α k m k , β k = β k m k and

η k =| α 1 ( ω 1 ) m 1 β 1 ω 1 m 1 α 2 ( ω 1 ) m k 2 β 2 ω 2 m 2 |.

Condition 3.2 Assume the following conditions are satisfied:

  1. (1)

    a0, aS( φ 0 )C/ R + , for φ+ φ 0 <π, p(1,);

  2. (2)

    η= ( 1 ) m 1 α 1 β 2 ( 1 ) m 2 α 2 β 1 0, | α k |+| β k |>0;

  3. (3)

    A is a R-positive operator in a UMD-space E, m is a nonnegative integer.

Theorem 3.2 Let Condition 3.2 hold. Then, problem (3.5)-(3.6) has a unique solution u W m + 2 , p (0,1;E(A),E) for f k E k , λ S ψ with sufficiently large |λ| and the following coercive uniform estimate holds:

i = 0 m + 2 |λ | 1 i m + 2 u ( i ) L p ( 0 , 1 ; E ) + A u L p ( 0 , 1 ; E ) M k = 1 2 ( f k E k + | λ | 1 θ k f k E ) .
(3.7)

Proof In a similar way as in [[10], Theorem 3.1] we obtain the representation of the solution of (3.4):

u ( x ) = { e x A λ 1 2 [ C 11 + d 11 ( λ ) ] + e ( 1 x ) A λ 1 2 [ C 12 + d 12 ( λ ) ] } A λ m 1 2 f 1 + { e x A λ 1 2 [ C 21 + d 21 ( λ ) ] + e ( 1 x ) A λ 1 2 [ C 22 + d 22 ( λ ) ] } A λ m 2 2 f 2 ,
(3.8)

where C i j and d i j are uniformly bounded operators. Then in view of the positivity of A we obtain from (3.8)

i = 0 m + 2 | λ | 1 i m + 2 u ( i ) L p ( 0 , 1 ; E ) + A u L p ( 0 , 1 ; E ) C k = 1 2 [ i = 0 m + 2 | λ | 1 i m + 2 A λ ( m k i ) 2 [ e ( 1 x ) A λ 1 2 + e x A λ 1 2 ] f k L p ( 0 , 1 ; E ) + A A λ m k 2 e x A λ 1 2 f k L p ( 0 , 1 ; E ) ] C ,
(3.9)
k = 1 2 i = 0 m + 2 | λ | 1 i m + 2 A λ ( 1 m m k 2 ( m + 2 ) + i 2 ) A λ 1 m k m + 2 e x A λ 1 2 f k L p ( 0 , 1 ; E ) + A A λ m k m + 2 [ e x A λ 1 2 + e ( 1 x ) A λ 1 2 ] f k L p ( 0 , 1 ; E ) C k = 1 2 [ ( 0 1 A λ 1 m k m + 2 [ e x A λ 1 2 + e ( 1 x ) A λ 1 2 ] f k p d x ) 1 p + ( 0 1 A A λ m k m + 2 [ e x A λ 1 2 + e ( 1 x ) A λ 1 2 ] f k p d x ) 1 p ] .
(3.10)

By virtue of Theorem A4 we obtain

( 0 1 A λ m k m + 2 [ e x A λ 1 2 + e ( 1 x ) A λ 1 2 ] f k p d x ) 1 p M 1 k = 1 2 [ f k E k + | λ | 1 θ k f k ] .
(3.11)

Moreover, due to the positivity of the operator A and the estimate (3.11), in view of Theorem A4 we get the uniform estimate

k = 1 2 ( 0 1 A A λ m k m + 2 [ e x A λ 1 2 + e ( 1 x ) A λ 1 2 ] f k p d x ) 1 p M 2 k = 1 2 [ f k E k + | λ | 1 θ k f k ] .
(3.12)

Hence, from (3.9)-(3.12) we obtain (3.7). □

Theorem 3.3 Assume Condition 3.2 to hold. Then the operator u{(L+λ)u, L 1 u, L 2 u} for λ S ψ , ϰ and for sufficiently large ϰ>0 is an isomorphism from

W m + 2 , p ( 0 , 1 ; E ( A ) , E )  onto  W m , p (0,1;E)× E 1 × E 2 .

Moreover, the following uniform coercive estimate holds:

i = 0 m + 2 | λ | 1 i m + 2 u ( i ) L p ( 0 , 1 ; E ) + A u L p ( 0 , 1 ; E ) C [ f W m , p ( 0 , 1 ; E ) + k = 1 2 ( f k E k + | λ | 1 θ k f k E ) ] .
(3.13)

Proof The uniqueness of solution of problem (3.4) is obtained from Theorem 3.3. Let us define

f ¯ (x)= { f ( x ) if  x [ 0 , 1 ] , 0 if  x [ 0 , 1 ] .

We now show that problem (3.4) has a solution u W m + 2 , p (0,1;E(A),E) for all f W m , p (0,1;E), f k E k and u= u 1 + u 2 , where u 1 is the restriction on [0,1] of the solution of the equation

(L+λ)u= f ¯ (x),xR=(,)
(3.14)

and u 2 is a solution of the problem

(L+λ)u=0, L k u= f k L k u 1 .
(3.15)

A solution of (3.14) is given by

u(x)= F 1 L 1 (λ,ξ)F f ¯ = 1 2 π e i ξ x L 1 (λ,ξ)(F f ¯ )(ξ)dξ,

where

L(λ,ξ)=Aa ξ 2 +λ.

It follows from the above expression that

i = 0 m + 2 | λ | 1 i m + 2 u ( i ) L p ( R ; E ) + A u L p ( R ; E ) = i = 0 m + 2 | λ | 1 i m + 2 F 1 ξ i L 1 ( λ , ξ ) F f ¯ L p ( R ; E ) + F 1 A L 1 ( λ , ξ ) F f ¯ L p ( R ; E ) .
(3.16)

It is sufficient to show that the operator functions

Ψ λ (ξ)=A L 1 (λ,ξ) ( 1 + ξ m ) 1 , σ λ (ξ)= i = 0 m + 2 |λ | 1 i m + 2 ξ i L 1 (λ,ξ) ( 1 + ξ m ) 1

are Fourier multipliers in L p (R;E) uniformly in λ. Actually, due to φ+ φ 0 <π and the positivity of A we have

L 1 ( λ , ξ ) M ( 1 + | a | ξ 2 + | λ | ) 1 , Ψ λ ( ξ ) = A [ A + λ + | a | ξ 2 ] 1 C 1 .
(3.17)

It is clear that

ξ d d ξ Ψ λ (ξ)=2a ξ 2 A L 2 (λ,ξ)= [ 2 a ξ 2 L 1 ( λ , ξ ) ] A L 1 (λ,ξ).

In a similar way we see that the sets

{ 2 a ξ 2 [ A a ξ 2 + λ ] 1 : ξ R { 0 } } , { A [ A a ξ 2 + λ ] 1 : ξ R { 0 } }

are R-bounded. Then, in view of Kahane’s contraction principle and from the product properties of the collection of R-bounded operators (see e.g. [3], Lemma 3.5, Proposition 3.4) we obtain

R { ξ d d ξ Ψ λ ( ξ ) : ξ R { 0 } } C.

Namely, the R-bound of the set {ξ d d ξ Ψ λ (ξ):ξR{0}} is independent of λ. Moreover, it is clear that

σ λ ( ξ ) B ( E ) C|λ| i = 0 m + 2 [ | ξ | | λ | 1 m + 2 ] i ( 1 + ξ m ) 1 L 1 ( λ , ξ ) B ( E ) .

Hence, by using the well-known inequality y i C(1+ y l ), y0, il for y=(|λ | 1 2 |ξ|) and l=m+2 we get the estimate

| i = 0 m + 2 |λ | 1 i m + 2 ξ i |C|λ| ( 1 + | λ | 1 | a | ξ m + 2 ) .
(3.18)

From (3.17) and (3.18) we have the uniform estimate

σ λ ( ξ ) B ( E ) C.

Due to R-positivity of the operator A, the set

{ ( | λ | a ξ 2 ) L 1 ( λ , ξ ) : ξ R { 0 } }

is R-bounded. Then, by estimate (3.17) and by Kahane’s contraction principle we obtain the R-boundedness of the set { σ λ (ξ):ξR{0}}. In a similar way we obtain the uniform estimates

d d ξ Ψ λ ( ξ ) B ( E ) C 1 , d d ξ σ λ ( ξ ) B ( E ) C 2 .

Consider the set

σ 1 ( λ , ξ ) = { ξ d d ξ σ λ ( ξ ) : ξ R { 0 } } , Ψ 1 ( λ , ξ ) = { ξ d d ξ Ψ λ ( ξ ) : ξ R { 0 } } .

Due to the R-positivity of the operator A, in view of estimate (3.17), by virtue of Kahane’s contraction principle, from the additional and product properties of the collection of R-bounded operators, for ξ 1 , ξ 2 ,, ξ μ R, u 1 , u 2 ,, u μ E, and the independent symmetric {1,1}-valued random variables r j (y), j=1,2,,μ, μN we obtain the uniform estimate

Ω j = 1 μ r j ( y ) σ 1 ( λ , ξ ( j ) ) u j E d y C Ω j = 1 μ σ 1 ( λ , ξ ( j ) ) r j ( y ) u j E d y C sup λ R ( { ξ d d ξ σ λ ( ξ ) : ξ R { 0 } } ) Ω j = 1 μ r j ( y ) u j E d y C .

In a similar way, the above estimate is obtained for Ψ 1 . So, by [[21], Theorem 3.4] it follows that Ψ λ (ξ) and σ λ (ξ) are the uniform collection of multipliers in L p (R;E). Then, by using the equality (3.16) we see that problem (3.14) has a solution u W m + 2 , p (R;E(A),E) and the following uniform estimate holds:

i = 0 m + 2 |λ | 1 i m + 2 u ( i ) L p ( R ; E ) + A u L p ( R ; E ) C f ¯ L p ( R ; E ) .
(3.19)

Let u 1 be the restriction of u on (0,1). Then the estimate (3.17) implies that u 1 W m + 2 , p (0,1;E(A),E). By virtue of the trace theorem (see e.g. [[25], §1.8.2]) we get

u 1 ( m k ) () ( E ( A ) ; E ) θ k , p ,k=1,2.

Hence, L k u 1 E k . Thus, by virtue of Theorem 3.2, problem (3.15) has a unique solution u 2 (x) that belongs to the space W m + 2 , p (0,1;E(A),E). Moreover, we have

i = 0 m + 2 | λ | 1 i m + 2 u 2 ( i ) L p ( 0 , 1 ; E ) + A u 2 L p ( 0 , 1 ; E ) C k = 1 2 [ f k E k + | λ | 1 θ k f k E + u 1 ( m k ) C ( [ 0 , 1 ] ; E k ) + | λ | 1 θ k u 1 C ( [ 0 , 1 ] ; E ) ] .
(3.20)

From (3.19) we obtain

i = 0 m + 2 |λ | 1 i m + 2 u 1 ( i ) L p ( 0 , 1 ; E ) + A u 1 L p ( 0 , 1 ; E ) C f W m , p ( 0 , 1 ; E ) .
(3.21)

Therefore, by Theorem A3 and by estimate (3.21) we obtain

u 1 ( m k ) ( ) E k C ( u 1 ( m + 2 ) L p ( 0 , 1 ; E ) + A u 1 L p ( 0 , 1 ; E ) ) C f W m , p ( 0 , 1 ; E ) .
(3.22)

Hence, in view of Theorem 3.2 and estimates (3.20)-(3.22) we get

i = 0 m + 2 | λ | 1 i m + 2 u 2 ( i ) L p ( 0 , 1 ; E ) + A u 2 L p ( 0 , 1 ; E ) C ( f L p ( 0 , 1 ; E ) + k = 1 2 ( f k E k + | λ | 1 θ k f k E ) ) .
(3.23)

Finally, from (3.21) and (3.23) we obtain (3.13). □

Now, by using of Theorems 3.2, 3.3 we can prove the main result of this section.

Proof of Theorem 3.1 Let G 2 =(0, b 1 )×(0, b 2 ). It is clear that

W m , p ( G 2 ;E)= W m , p (0, b 1 ; X 0 ,X)= W m , p (0, b 1 ;X) L p (0, b 1 ; X 0 ),

where

X 0 = W m , p (0, b 2 ;E),X= L p (0, b 2 ;E).

Let us consider the BVP

a 1 2 u x 1 2 + a 2 2 u x 2 2 +(A+λ)u( x 1 , x 2 )=f( x 1 , x 2 ), L k j u=0,k,j=1,2,
(3.24)

where L k j are defined by equalities (3.6). Problem (3.24) can be expressed as the following BVP for the ordinary DOE:

Lu= a 1 d 2 u d x 1 2 +( B 2 +λ)u( x 1 )=f( x 1 ), x 1 (0, b 1 ), L k 1 u=0,
(3.25)

where B 2 is the operator in X defined by

B 2 u= a 2 d 2 u d x 2 2 +Au( x 2 ),D( B ε 2 )= W 2 , p ( 0 , b 2 ; E ( A ) , E , L 2 k ) ,

respectively. Since X 0 and X are UMD-spaces (see e.g. [[1], Theorem 4.5.2]), by virtue of Theorem 3.3 we obtain the result that problem (3.25) has a unique solution u W 2 , p (0, b 1 ;D( B 2 ), X 0 ), u W m + 2 , p (0, b 1 ;D( B 2 ),X) for f L p (0, b 1 ; X 0 ) and f W m , p (0, b 1 ;X), respectively. Moreover, for λ S ψ , ϰ and sufficiently large ϰ>0 the following coercive uniform estimates hold:

i = 0 2 | λ | 1 i 2 u ( i ) L p ( 0 , b 1 ; X 0 ) + B 2 u L p ( 0 , b 1 ; X 0 ) C f L p ( 0 , b 1 ; X 0 ) , i = 0 m + 2 | λ | 1 i m + 2 u ( i ) L p ( 0 , b 1 ; X ) + B 2 u L p ( 0 , b 1 ; X ) C f W m , p ( 0 , b 1 ; X ) .
(3.26)

From (3.26) we find that problem (3.24) has a unique solution,

u W m + 2 , p ( G 2 ; E ( A ) , E ) for  W m , p ( G 2 ;E,)

and the following uniform coercive estimates hold:

i = 0 m + 2 |λ | 1 i m + 2 u ( i ) L p ( 0 , b 1 ; X ) + B 2 u L p ( 0 , b 1 ; X ) C f W m , p ( G 2 ; E ) .
(3.27)

By applying Theorem 3.3, for f k =0 and E=X we get the following uniform estimate:

j = 0 m + 2 |λ | 1 i m + 2 u ( i ) X + A u X C B 2 u W m , p ( 0 , b 2 ; E ) .
(3.28)

From estimates (3.27)-(3.28) we obtain the assertion for problem (3.24). Then by continuing this process n times we obtain the conclusion. □

4 Boundary value problems for abstract elliptic equations with variable coefficients

Consider the BVP for DOE with variable coefficients

k = 1 n a k ( x ) 2 u x k 2 + ( A ( x ) + λ ) u + k = 1 n A k ( x ) u x k = f ( x ) , x G , i = 0 m k j [ α k j i i u x k i ( G k 0 ) + β k j i i u x k i ( G k b ) ] = 0 , x ( k ) G k , j = 1 , 2 ,
(4.1)

where G, G k , G k 0 , G k b , x ( k ) are defined as in (3.1)-(3.2), a k (x) are complex-valued continuous functions, A(x) and A k (x) are linear operators in a Banach space E for xG, and u(x) and f(x), respectively, are E-valued unknown and data functions. We will derive in this section the maximal regularity properties of problem (4.1).

Nonlocal BVPs for DOEs investigated, e.g., in [2, 4, 1319, 22, 28]. Let α k j = α k j m k and β k j = β k j m k . Let ω k i = ω k i (x), i=1,2, be roots of the equations

a k (x) ω 2 =1,k=1,2,,n

and

η k (x)=| α k 1 ( ω k 1 ) m k 1 β k 1 ω k 1 m k 1 α k 2 ( ω k 1 ) m k 2 β k 2 ω k 2 m k 2 |.

Condition 4.1 Assume:

  1. (1)

    E is a UMD-space and A(x) is a uniformly R-positive operator in E for φ[0,π);

  2. (2)

    a k (x) C ( m ) ( G ¯ ), a k ( G i 0 )= a k ( G i b ), a k 0, a k S( φ 0 )C/ R + for all xG, φ+ φ 0 <π;

  3. (3)

    A(x) A 1 ( x ¯ ) C ( m ) ( G ¯ ;L(E)), A( G k 0 )=A( G k b ), A k (x) A ( 1 2 ν ) (x) C ( m ) ( G ¯ ;L(E)), 0<ν< 1 2 , mN;

  4. (4)

    | α k j m j |+| β k j m j |>0, η k (x)0, k,i=1,2,,n, j=1,2, p(1,).

Remark 4.1 Let l k =2 m k , k=1,2,,n and a k = ( 1 ) m k b k (x), where b k are real-valued positive functions and m k are natural numbers. Then Condition 4.1 is satisfied.

Remark 4.2 The periodicity conditions are given due to nonlocality of boundary conditions. For local boundary conditions these assumptions are not required.

Let X= W m , p (G;E) and Y= W m + 2 , p (G;E(A),E). Consider the operator O in X generated by problem (4.1), i.e.,

D(O)= W m + 2 , p ( G ; E ( A ) , E , L k j ) ,Ou= k = 1 n a k (x) 2 u x 2 +A(x)+ k = 1 n A k (x) u x k .

The main result is the following.

Theorem 4.1 Assume Condition 4.1 is satisfied. Then problem (4.1) has a unique solution uY for fX, λ S ψ , ϰ and the following uniform coercive estimate holds:

k = 1 n i = 0 m + 2 |λ | 1 i m + 2 i u x k i L p ( G ; E ) + A u L p ( G ; E ) C f X .
(4.2)

Proof First we will show the uniqueness of solution. For this aim we use microlocal analysis. Let D 1 , D 2 ,, D N be rectangular regions with sides parallel to the coordinate planes covering G and let φ 1 , φ 2 ,, φ N be a corresponding partition of unity, i.e., φ j C 0 (G), σ j =supp φ j D j and j = 1 N φ j (x)=1, where C 0 (G) denotes the space of all infinitely differentiable functions on G with compact support. Now for u W 2 + m , p (G;E(A),E, L k i ) being a solution of (4.1) and u j (x)=u(x) φ j (x) we get

(L+λ) u j = k = 1 n a k (x) 2 u j x k 2 + ( A ( x ) + λ ) u j (x)= f j (x), L k i u j =0,i=1,2,
(4.3)

where

f j ( x ) = f ( x ) φ j ( x ) + k = 1 n a k ( x ) [ C 0 1 u φ j x k + C 1 1 φ j u x k ] k = 1 n φ j ( x ) A k ( x ) u x k , j = 1 , 2 , , N .
(4.4)

Freezing the coefficients of (4.3), extending u j (x) outside of σ j up to D j , we obtain the BVP

k = 1 n a k ( x 0 j ) 2 u j x k 2 + ( A ( x 0 j ) + λ ) u j ( x ) = F j ( x ) , x D j , L k i u j = 0 , i = 1 , 2 , k = 1 , 2 , , n ,
(4.5)

where

F j = f j + [ A ( x 0 j ) A ( x ) ] u j + k = 1 n [ a k ( x 0 j ) a ( x ) ] 2 u j x k 2 ,
(4.6)

and C i 1 are the usual binomial coefficients. It is clear that F j W m , p ( D j ;E)= X j . By applying Theorem 3.1 we obtain the following a priori estimate:

k = 1 n i = 0 m + 2 |λ | 1 i m + 2 i u j x k i L p ( D j ; E ) + A u j L p ( D j ; E ) C F j X j
(4.7)

for the solution u Y j = W 2 + m , p ( D j ;E(A),E) of (4.5) on the domains D j containing the boundary points. In a similar way we obtain the same estimates for the domains D j G. In view of F j , by Theorem A1, in view of the continuity of coefficients, choosing diameters of supp φ j sufficiently small we see that for all small δ there is a positive continuous function C(δ) so that

F j X j f φ j X j +δ u j Y j +C(δ) u j X j .
(4.8)

Consequently, from (4.6)-(4.8) we have

k = 1 n i = 0 m + 2 | λ | 1 i m + 2 i u j x k i L p ( D j ; E ) + A u j L p ( D j ; E ) C f X j + δ u j Y j + M ( δ ) u j X j .
(4.9)

Choosing ε k <1 from (4.9) we obtain

k = 1 n i = 0 m + 2 |λ | 1 i m + 2 i u j x k i L p ( D j ; E ) + A u j L p ( D j ; E ) C [ f X j + u j X j ] .
(4.10)

Since u(x)= j = 1 N u j (x) and by (4.10) we find that the solution of (4.1) satisfies the estimate (4.2). It is clear that

u X = 1 | λ | ( O + λ ) u O u X 1 | λ | [ ( O + λ ) u X + O u X ] .

Hence, by using the definition of Y and applying Theorem A1 we obtain

u X C | λ | [ ( O + λ ) u X + u Y ] .

From the above estimate we have

k = 1 n i = 0 m + 2 |λ | 1 i m + 2 i u x k i L p ( G ; E ) + A u L p ( G ; E ) C ( O + λ ) u X .
(4.11)

The estimate (4.11) implies that uniqueness of the solution of problem (4.1). It implies that the operator O+λ has a bounded inverse in its rank space. We need to show that this rank space coincides with the space X, i.e., we have to show that for all fX there is a unique solution of problem (4.1). We consider the smooth functions g j = g j (x) with respect to φ j on D j that equal 1 on supp φ j , where supp g j D j and | g j (x)|<1. Let us construct for all j the functions u j that are defined on the regions Ω j =G D j and satisfying problem (4.1). Problem (4.1) can be expressed as

k = 1 n a k ( x 0 j ) 2 u j x k 2 + ( A ( x 0 j ) + λ ) u j ( x ) = g j { f + [ A ( x 0 j ) A ( x ) ] u j + k = 1 n [ a k ( x 0 j ) a ( x ) ] 2 u j x k 2 + k = 1 n A k ( x ) u j x k } , L k i u j = 0 , i = 1 , 2 , k = 1 , 2 , , n , x D j .
(4.12)

Consider operators O j λ = O j +λ in X j that are generated by the problem

k = 1 n a k ( x 0 j ) 2 u x k 2 + ( A ( x 0 j ) + λ ) u ( x ) = f ( x ) , x D j , L k i u = 0 , i = 1 , 2 .
(4.13)

By virtue of Theorem 3.1, the local operators O j λ have bounded inverses O j λ 1 from X j to Y j and for all f X j we have the following uniform estimate:

k = 1 n i = 0 m + 2 |λ | 1 i m + 2 i x k i O j λ 1 f L p ( D j ; E ) + A O j λ 1 f L p ( D j ; E ) C f X j .
(4.14)

Extending the solutions u j of (4.13) to zero on the outside of σ j and using the substitutions u j = O j λ 1 υ j we obtain the equations

υ j = K j λ υ j + g j f,j=1,2,,N,
(4.15)

where K j λ = K j λ (ε) are bounded linear operators in X j defined by

K j λ = g j { f + [ A ( x 0 j ) A ( x ) ] O j λ 1 + k = 1 n [ a k ( x 0 j ) a k ( x ) ] 2 x k 2 O j λ 1 k = 1 n A k ( x ) x k D α O j λ 1 } .

In fact, due to the smoothness of the coefficients of the expression K j λ and in view of the estimate (4.14) for sufficiently large |λ| there is a sufficiently small δ>0 such that

[ A ( x 0 j ) A ( x ) ] O j λ 1 υ j L p ( D j ; E ) δ υ j L p ( D j ; E ) , k = 1 n [ a k ( x 0 j ) a k ( x ) ] 2 x k 2 O j λ 1 υ j L p ( D j ; E ) δ υ j L p ( D j ; E ) .

Moreover, by Theorem A1 we find that for all δ>0 there is a constant C(δ)>0 such that

k = 1 n i = 0 m + 2 |λ | 1 i m + 2 k = 1 n A k ( x ) x k O j λ 1 υ j L p ( D j ; E ) δ υ j Y j +C(δ) υ j X j .

Hence, for |argλ|φ with sufficiently large |λ| there is a γ(0,1) such that K j λ <γ. Consequently, (4.15) for all j have a unique solution υ j = [ I K j λ ] 1 g j f. Moreover,

υ j X j = [ I K j λ ] 1 g j f X j f X j .

Thus, [ I K j λ ] 1 g j are bounded linear operators from X to X j . Thus, the functions u j = O j λ 1 [ I K j λ ] 1 g j f are solutions of (4.12). Consider the linear operator U in L p (G;E) defined by

D ( U ) = W m + 2 , p ( G ; E ( A ) , E , L k j ) , j = 1 , 2 , k = 1 , 2 , , n , U f = j = 1 N φ j ( y ) U j λ f = O j λ 1 [ I K j λ ] 1 g j f , j = 1 , 2 , , N .

It is clear from the constructions U j λ and from the estimate (4.14) that the operators U j λ are bounded linear from X to Y j and for |argλ|φ and sufficiently large |λ| we have

k = 1 n i = 0 m + 2 |λ | 1 i m + 2 i x k i U j λ f L p ( D j ; E ) + A U j λ f L p ( D j ; E ) C f X .
(4.16)

Therefore, U is a bounded linear operator in X. By the construction of the solution operators U j λ of the local problems (4.12), we get

( O + λ ) u = j = 1 N ( O + λ ) ( φ j U j λ f ) = j = 1 N [ φ j ( O + λ ) ( U j λ f ) + Φ j λ f ] = j = 1 N φ j g j f + j = 1 N Φ j λ f = f + j = 1 N Φ j λ f ,

where Φ j λ are bounded linear operators defined by

Φ j λ f = k = 1 n a k ( x ) [ C 0 1 U j λ f φ j x k + C 1 1 φ j U j λ f x k ] + k = 1 n A k ( x ) [ C 0 1 U j λ f φ j x k + C 1 1 φ j U j λ f x k ] , j = 1 , 2 , , N .
(4.17)

Indeed, by Theorem A1, estimate (4.16), and from the expression Φ j λ we find that the operators Φ j λ are bounded linear from X to X and for |argλ|φ with sufficiently large |λ| there is an δ(0,1) such that Φ j λ <δ. Therefore, there exists a bounded linear invertible operator ( I + j = 1 N Φ j λ ) 1 , i.e., we infer for all fX that the BVP (3.1) has a unique solution

u(x)= ( O + λ ) 1 f= j = 1 N φ j O j λ 1 [ I K j λ ] 1 g j ( I + j = 1 N Φ j λ ) 1 f.

 □

Let B p =L(X).

Remark 4.3 Theorem 4.1 implies that the resolvent ( O + λ ) 1 satisfies the sharp uniform estimate

k = 1 n i = 0 m + 2 |λ | 1 i m + 2 i x k i ( O + λ ) 1 B p + A ( O + λ ) 1 B p C,

for |argλ|φ and φ[0,π).

5 Abstract Cauchy problem for parabolic equation

Consider now the initial BVP for the following parabolic equation with variable coefficients, i.e.,

u t + k = 1 n a k (x) 2 u x k 2 + k = 1 n A k (x) u x k +A(x)u+du=f(x,t),
(5.1)
i = 0 m k j [ α k j i i u x k i ( G k 0 , t ) + β k j i i u x k i ( G k b , t ) ] = 0 , u ( x , 0 ) = 0 , t ( 0 , T ) , x G , x ( k ) G k , j = 1 , 2 ,
(5.2)

where A(x) and A k (x) are linear operator functions in a Banach space E, a k are complex-valued functions, λ is a complex parameter, d>0, m k j {0,1} and G, G k , G k 0 , G k b are the domains defined in (3.1)-(3.2).

For p = (p, p 1 ), G + =(0,T)×G, L p ( G + ;E) will denote the space of all E-valued p-summable functions with mixed norm (see e.g. [27]), i.e., the space of all measurable functions f defined on G + , for which

f L p ( G + ; E ) = ( R + ( G f ( x , y ) E p d x ) p 1 p d t ) 1 p 1 <.

Analogously, W m , p ( G + ,E(A),E) denotes the Sobolev space with the corresponding mixed norm (see [27] for the scalar case).

In this section, we obtain the existence and uniqueness of the maximal regular solution of problem (5.1)-(5.2) in mixed L p norms. Let O denote the differential operator in L p (G;E) generated by (4.1) for λ=0.

Theorem 5.1 Let all conditions of Theorem  4.1 hold for m=0 and φ( π 2 ,π). Then:

  1. (a)

    the operator O is an R-positive in L p (G;E);

  2. (b)

    the operator O is a generator of an analytic semigroup.

Proof In fact, by virtue of Theorem 4.1 we see that for f L p (G;E) the BVP (4.1) have a unique solution expressed in the form

u(x)= ( O + λ ) 1 f= j = 1 N φ j O j λ 1 [ I K j λ ] 1 g j ( I + j = 1 N Φ j λ ) 1 f,

where O j λ = O j +λ are local operators generated by BVPs with constant coefficients of type (3.1)-(3.2) and K j λ and Φ j λ are uniformly bounded operators defined in the proof of Theorem 4.1. By virtue of [[2], Theorem 5.1] the operators O j are R-positive. Then by using the above representation and by virtue of Kahane’s contraction principle, and the product and additional properties of the collection of R-bounded operators (see e.g. [[3], Lemma 3.5, Proposition 3.4]) we obtain the assertions. □

Theorem 5.2 Let all conditions of Theorem  5.1 hold. Then for f L p ( G + ;E) problem (5.1)-(5.2) has a unique solution u W 1 , 2 , p ( G + ;E(A),E) and for sufficiently large d>0 the following coercive estimate holds:

u t L p ( G + ; E ) + k = 1 n 2 u x k 2 L p ( G + ; E ) + A u L p ( G + ; E ) C f L p ( G + ; E ) .

Proof Problem (5.1)-(5.2) can be expressed as the following Cauchy problem:

d u d t +Ou(t)=f(t),u(0)=0.
(5.3)

Theorem 5.1 implies that the operator O is R-positive and also is a generator of an analytic semigroup in F= L p (G;E). Then by virtue of [23] or [[21], Theorem 4.2] we see that for f L p 1 ((0,T);F) problem (5.3) has a unique solution u W 1 , p 1 ((0,T);D(O),F) and the following uniform estimate holds:

d u d t L p 1 ( 0 , T ; F ) + O u L p 1 ( 0 , T ; F ) C f L p 1 ( 0 , T ; F ) .
(5.4)

Since L p 1 (0,T;F)= L p ( G + ;E), by Theorem 4.1 we have O u L p 1 ( R + ; F ) =D(O). This relation and the estimate (5.4) implies the assertion. □

6 Nonlinear abstract parabolic problem

Consider the following nonlinear parabolic problem:

u t + k = 1 n a k (x) 2 u x k 2 +B(t,x,u)u=F(t,x,u,u),
(6.1)
L k 1 u = i = 0 m k 1 α k i i u x k i ( G k 0 , t ) = 0 , L k 2 u = i = 0 m k 2 β k i i u x k i ( G k b , t ) = 0 , u ( x , 0 ) = 0 , t ( 0 , T ) , x G , x ( k ) G k ,
(6.2)

where a k are complex-valued functions, α k i , β k i are complex numbers, m k {0,1} and G, G k , G k 0 , G k b are domains defined in (3.1)-(3.2).

Let G T =(0,T)×G. Moreover, we let

G 0 = k = 1 n ( 0 , b 0 k ) , G = k = 1 n ( 0 , b k ) , b k ( 0 , b 0 k ] , T ( 0 , T 0 ) , G k = ( 0 , b 1 ) × × ( 0 , b k 1 ) × ( 0 , b k + 1 ) × × ( 0 , b n ) , B k i = ( W 2 , p ( G k , E ( A ) , E ) , L p ( G k ; E ) ) η i , p , η i = i + 1 p 2 , B 0 = k = 1 n i = 0 1 B k i , x ( k ) = ( x 1 , x 2 , , x k 1 , x k + 1 , , x n ) .

Remark 6.1 By virtue of [[25], §1.8] the operators u i u x k i | x k = 0 are continuous from W 2 , p (G;E(A),E) onto B k i and there are the constants C 1 and C 0 such that for w W 2 , p (G;E(A),E), W={ w k i }, w k i = i w x k i , i=0,1, k=1,2,,n,

i w x k i B k i , = sup x G i w x k i B k i C 1 w W 2 , p ( G ; E ( A ) , E ) , W 0 , = sup x G k , i w k i B k i C 0 w W 2 , p ( G ; E ( A ) , E ) .

Condition 6.1 Suppose the following hold:

  1. (1)

    E is an UMD-space;

  2. (2)

    a k are continuous functions on G ¯ , a k ()S( φ 1 )C/ R + , α k m k 1 0, β k m k 1 0, k=1,2,,n, where φ+ φ 1 <π;

  3. (3)

    there exist Φ k i B k i , such that the operator B(t,x,Φ) for Φ={ Φ k j } B 0 is R-positive in E uniformly with respect to xG and t[0,T]; moreover,

    B(t,x,Φ) B 1 ( t 0 , x 0 , Φ ) C ( G ¯ ; L ( E ) ) , t 0 (0,T), x 0 G;
  4. (4)

    A=B( t 0 , x 0 ,Φ): G T × B 0 L(E(A),E) is continuous; moreover, for each positive r there is a positive constant L(r) such that

    [ B ( t , x , U ) B ( t , x , U ¯ ) ] υ E L(r) U U ¯ B 0 A υ E

for t(0,T), xG, U, U ¯ B 0 , U ¯ ={ u ¯ k j }, u ¯ k j B k j , U B 0 , U ¯ B 0 r, υD(A);

  1. (5)

    the function F: G T × B 0 E such that F(,U) is measurable for each U B 0 and F(t,x,) is continuous for a.a. t(0,T), xG; moreover, F ( t , x , U ) F ( t , x , U ¯ ) E C U U ¯ B 0 for a.a. t(0,T), xG, U, U ¯ B 0 and U B 0 , U ¯ B 0 r; f()=F(,0) L p ( G T ;E).

By reasoning as in [[20], Theorem 5.1] we obtain the following result.

Theorem 6.1 Let Condition 6.1 be satisfied. Then there are T(0, T 0 ) and b k (0, b 0 k ) such that problem (6.1)-(6.2) has a unique solution belonging to W 1 , 2 , p ( G T ;E(A),E).

7 The mixed value problem for system of parabolic equations

Consider the initial and BVP for the system of nonlinear parabolic equations

u m t + k = 1 n a k (x) 2 u m x k 2 + j = 1 N d m j (x) u j (x,t)+ k = 1 n j = 1 N b k j (x) u j x k = F m (x,t,u),
(7.1)
i = 0 m k 1 α k i u m ( i ) ( G k 0 ,t)=0, i = 0 m k 2 β k i u m ( i ) ( G k b ,t)=0,
(7.2)
u m (x,0)= φ m (x),xG,t(0,T),m=1,2,,N,NN,
(7.3)

where u=( u 1 , u 2 ,, u N ), m k j {0,1}, α k i , β k i are complex numbers, a k are complex-valued functions, G, G k 0 , G k b are defined as in (3.1)-(3.2), and

θ k j = m k j + 1 p 2 , s k j = s ( 1 θ k j ) , s > 0 , B k j = l q s k j , j = 1 , 2 , B 0 p = k , j B k j , α k m k 1 0 , β k m k 2 0 , k = 1 , 2 , , n .

Let A be the operator in l q (N) defined by

D(A)= l q s (N),A= [ d m j ( x ) ] , d m j (x)= g m (x) 2 s j ,m,j=1,2,,N,

where

l q ( N ) = { u = { u j } , j = 1 , 2 , N , u l q ( N ) = ( j = 1 N | u j | q ) 1 q < } , l q ( A ) = { u l q ( N ) , u l q ( A ) = A u l q ( N ) = ( j = 1 N | 2 s j u j | q ) 1 q < } , x G , 1 < q < , N = 1 , 2 , , .

Let b k j (x)= M k j (x) 2 σ j and

B=L ( L p ( G ; l q ( N ) ) ) .

From Theorem 6.1 we obtain the following result.

Theorem 7.1 Let the following condition hold:

  1. (1)

    a k are continuous functions on G ¯ , a k (x)S( φ 1 )C/ R + ;

  2. (2)

    s 2 n p ( 2 q ) q ( p 1 ) , 0<σ< s 0 , s 0 = s ( p 1 ) 2 p ;

  3. (3)

    g j C( G ¯ ), N k j C( G ¯ ); the eigenvalues of the matrix [ d m i (x)] and d i i (x) are positive for all x G ¯ , m,i=1,2,,N ; there is a positive constant C such that

    k = 1 n j = 1 N M k j q 1 (x)C j = 1 N g j q 1 (x)<,xG, 1 q + 1 q 1 =1;
  4. (4)

    the function F(,υ)=( F 1 (,υ),, F N (,υ)) is measurable for each υ B 0 p and the function F(x,) for a.a. xG is continuous and f()=F(,0) L p (G; l q ); for each R>0 there is a function Ψ R L (G) such that

    F ( x , U ) F ( x , U ¯ ) l q Ψ R (x) U U ¯ l q ( A )

a.a. xG and

U , U ¯ B 0 p , U B 0 p R , U B 0 p R , U = { u k j } , U ¯ = { u ¯ k j } , u k j , u ¯ k j B 0 p .

Then problem (7.1)-(7.3) has a unique solution u= { u m ( x ) } 1 N that belongs to the space W p 1 , 2 ( G T , l q (A), l q ).

Proof By virtue of [26] the space l q (N) is a UMD-space. It is easy to see that the operator A is R-positive in l q (N). Then by using conditions (1)-(3) we see that condition (5) of Theorem 6.1 holds. So in view of Theorem 6.1 we obtain the conclusion. □

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Correspondence to Veli B Shakhmurov.

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All abstract results belong to VS; the application part belongs to AS.

An erratum to this article is available at http://dx.doi.org/10.1186/1687-2770-2014-116.

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Shakhmurov, V.B., Sahmurova, A. Abstract elliptic operators appearing in atmospheric dispersion. Bound Value Probl 2014, 43 (2014). https://doi.org/10.1186/1687-2770-2014-43

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