Multipliers and embedding operators with application to abstract differential equat{\i}ons
Veli Shakhmurov

TL;DR
This paper develops operator-valued multiplier theorems in weighted Lebesgue-Bochner spaces and applies them to establish embedding theorems and maximal regularity for abstract elliptic and parabolic equations.
Contribution
It introduces new multiplier theorems of Mikhlin and Marcinkiewicz--Lizorkin type for operator-valued functions in weighted spaces, leading to advances in regularity theory.
Findings
Established Mikhlin and Marcinkiewicz--Lizorkin type multiplier theorems in weighted Lebesgue-Bochner spaces.
Derived embedding theorems in Sobolev-Lions type spaces using these multiplier results.
Proved maximal regularity properties for abstract elliptic and parabolic equations.
Abstract
In this paper, Mikhlin and Marcinkiewicz--Lizorkin type operator-valued multiplier theorems in weighted Lebesgue-Bochner spaces are studied. By using this results embedding theorems in Sobolev-Lions type spaces is obtained. Moreover, maximal regularity properties of abstract elliptic and parabolic equations are derived
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Taxonomy
TopicsAdvanced Harmonic Analysis Research · Differential Equations and Boundary Problems · Mathematical Analysis and Transform Methods
Multipliers and **embedding operators with application to abstract differential equatıons **
Veli B. Shakhmurov
Okan University, Department of Mechanical engineering, Akfirat, Tuzla 34959 Istanbul, Turkey,
E-mail: [email protected]
ABSTRACT
In this paper, Mikhlin and Marcinkiewicz–Lizorkin type operator-valued multiplier theorems in weighted Lebesgue-Bochner spaces are studied. Using these results one derives embedding theorems in -valued weighted Sobolev-Lions type spaces , where , are two Banach spaces, is continuously and densely embedded into One proves that, there exists a smoothest interpolation space between and , such that the differential operator acts as a bounded linear operator from to . By using these results the separability properties of elliptic operators and regularity properties of appropriate degenerate differential operators are studied. In particular, we prove that the associated differential operator is positive and also is a generator of an analytic semigroup. Moreover, the maximal -regularity properties of Cauchy problem for abstract parabolic equation and system of infinity many parabolic equations is obtained.
**AMS: **
**47Axx, 46E35, 47A50, 42B37, 42B15 **
**Key Words: **Banach space-valued functions; Operator-valued multipliers; embedding of Sobolev-Lions spaces; Differential-operator equations; Interpolation of Banach spaces;
**1. Introduction **
Fourier multipliers in vector-valued function spaces have been studied e.g. in , Operator-valued Fourier multipliers have been investigated in and Mikhlin type Fourier multipliers in scalar weighted spaces have been studied e.g. in , . Moreover, operator-valued Fourier multipliers in weighted abstract spaces were investigated e.g. in and In singular integral operators with operator-valued kernel were studied in weighted -spaces. Embedding theorems in vector-valued function spaces are studied e.g. in , . Regularity properties of differential-operator equations (DOEs) have been studied e.g. in , , A comprehensive introduction to DOEs and historical references may be found in and
In this paper, operator-valued multiplier theorems in valued weighted Lebesque spaces are obtained. These multiplier theorems are used to show the boundedness of embedding operator in the anisotropic Sobolev-Lions space , i.e. under some conditions we prove that the differential operator is bounded from to and the following Ehrling-Nirenberg-Gagilardo type sharp estimate holds
[TABLE]
for , where is a positive operator in and
[TABLE]
[TABLE]
This fact generalizes and improves the results for scalar Sobolev space, the result for one dimensional Sobolev-Lions spaces and the results , for Hilbert-space valued class. Finally, we consider the differential-operator equation
[TABLE]
where are complex numbers, , are linear operators in a Banach space and is a complex parameter.
We say that the problem is -separable if there exists a unique solution of for all and there exists a positive constant depend only on and such that the following coercive uniform estimate holds
[TABLE]
Estimate implies that if and is a solution of then all terms of equation belong to (i.e. all terms are separable in ). The above estimate implies that the inverse of the differential operator generated by is bounded from to
By using the separability properties of we show that the Cauchy problem for the parabolic equation
[TABLE]
[TABLE]
is well-posed in weighted spaces with mixed norm, where .
The paper is organized as follows. In Section 2, the necessary tools from Banach space theory and some background materials are given. In sections 3, the multiplier theorems in vector-valued weighted Lebesque spaces are proved. In Section 4, by using these multiplier theorems, embedding theorems in -valued weighted Sobolev type spaces are shown. Finally, in sections 5-8 the separability properties of , and also regularity properties of appropriate degenerate differential operators are established.
**2. Notations and background **
Let be a Banach space and let be a positive measurable function on the measurable subset Let denote the weighted Lebesgue-Bochner space, i.e. the space of all strongly measurable valued functions that are defined on with the norm
[TABLE]
[TABLE]
For the space will be denoted by
The weight is said to be satisfy an condition, i.e. , if there is a positive constant such that
[TABLE]
for all for all cubes
The Banach space is called a UMD-space and written as UMD if only if the Hilbert operator
[TABLE]
is bounded in the space (see e.g. ). UMD spaces include , spaces, Lorentz spaces and Morrey spaces (see e.g. ).
A Banach space has a property () (see e.g. ) if there exists a constant such that
[TABLE]
for all and all choices of independent, symmetric, valued random variables on probability spaces For example the spaces has the property ().
Let be the set of complex numbers and
[TABLE]
Let and be two Banach spaces. denotes the space of bounded linear operators from to For it will be denote by
A linear operator is said to be positive in a Banach space , with bound , if is dense in and
[TABLE]
with where is a positive constant and is an identity operator in Sometimes instead of , we will write or It is known there exist fractional powers of the positive operator
Definition 2.1. A positive operator is said to be positive in the Banach space if there exists such that the set
[TABLE]
is -bounded (see e.g. ).
Let denote the space with graphical norm defined as
[TABLE]
Let denote the interpolation space obtained from by the method , where .
We denote by the space of valued function with compact support, equipped with the usual inductive limit topology and denote the valued Schwartz space of rapidly decreasing smooth functions. For we simply write and , respectively. Let denote the space of valued distributions and let denote a space of linear continued mapping from into The Fourier transform for is defined by
[TABLE]
Let be such that is dense in A function
[TABLE]
is called a multiplier from to if there exists a positive constant such that
[TABLE]
for all .
We denote the set of all multipliers fom to by For we denote the by
A set is called -bounded (see e.g. 8, § 3.1) if there is a constant such that for all and
[TABLE]
where is a sequence of independent symmetric -valued random variables on The smallest for which the above estimate holds is called the bound of and denoted by
**Definition 2.2. **The Banach space satisfies the multiplier condition with respect to and to the weighted function if for all the inequality
[TABLE]
for implies that
Note that, if and are UMD spaces and then by virtue of operator valued multiplier theorems (see e.g ) we obtain that is a Fourier multiplier in
Let be a domain on and let . Assume is continuously and densely belongs to Here, denotes the anisotropic weighted Sobolev-Lions type space of functions which have generalized derivatives with norm
[TABLE]
For we denote by as a isotropic weighted Sobolev-Lions space.
3. Operator-valued multiplier results in weighted Lebesque spaces
Let , be Banach spaces. We put
[TABLE]
By following Theorems 3. 6 and 3.7 of we will show the following multiplier theorems:
Theorem 3.1. Let . Assume , are UMD spaces with property () and let
[TABLE]
If
[TABLE]
for all then is a multiplier from to with
If the result remains true without having property ().
Theorem 3.2. Let . Let , be UMD spaces and let
[TABLE]
If
[TABLE]
for all then is a multiplier from to with
To prove Theorem 3.1 we need the following result:
The following Propositions A1 and A2 are due to Clément, de Pagter, Sukochev and Witvliet, see .
**Proposition A1. ** Let and be unconditional Schauder decompositions of the Banach spaces and respectively, with unconditional constants and . Further let be an bounded family in with for all Then the series
[TABLE]
converges for every and defines a bounded operator with
[TABLE]
**Proposition A2. **Assume is a Banach space that has property(), is an unconditional Schauder decomposition and is an -bounded collection of operators. Then the set
[TABLE]
is -bounded in .
Let . By using the same reasoning as used in we have:
Lemma 3.1. Let , . Assume is a Banach spaces. For we denote by the associated multiplication operator in . Then the collection
[TABLE]
is bounded in
From Lemma 3.1 we obtain
**Corollary 3.1. Let . **Assume and are Banach spaces. For we denote by and the associated multiplication operators in and respectively. If the set is bounded, then the family
[TABLE]
is bounded as well.
For , , let
[TABLE]
[TABLE]
For let
[TABLE]
From we have:
Lemma 3.2. Let , and let be a UMD space (respectively, UMD space with property ()). Then for any choice of signs , (respectively, , ) the function with for (respectively, for ) is a multiplier.
Let be a Banach space. The (dimensional) Riesz projection operator is defined by
[TABLE]
where denotes the characteristic function of
Let
[TABLE]
where denote the one-dimensional Fourier transform with respect to variable and denotes the characteristic function of the halfspace
[TABLE]
Lemma 3.3. Assume for and is a UMD space. Then defines a bounded operator in
**Proof. **Since , then by (or ) the Hilbert operator is bounded in It is known that , where is the identity operator. By using this relation we obtain that Riesz projection operator is bounded in . Hence, one-dimensional Riesz projection also are defined bounded operators in . It is not hard to see that
[TABLE]
i.e. is bounded operator in
For let be the dyadic interval associated with , i.e.
[TABLE]
and
[TABLE]
where
[TABLE]
Consider the operator
[TABLE]
Lemma 3.4. Assume for and is a UMD space. Then for each the operator is bounded in . Moreover, the set is an bounded family in .
**Proof. **We first look at characteristic functions of sets of the form
[TABLE]
We can expressed as:
[TABLE]
for
[TABLE]
We see that the set is bounded in view of Proposition 3.1. Setting we analogously get that the set is bounded as well, where
[TABLE]
Since the result follows because the pointwise product of bounded sets is again bounded.
Assume and are UMD spaces. We put
[TABLE]
Let be a decomposition of in intervals such that for each compact the set is finite. Assume further that the families and of the corresponding Fourier multipliers, i.e
[TABLE]
are unconditional Schauder decompositions of , respectively, where and denote the Fourier and inverse Fourier transforms. For we now cut each interval in smaller ones by decomposing it in each coordinate direction into pieces. These new smaller intervals are denoted by where and
Let be a function on with values in a Banach space . Assume that is constant operator on the intervals , and denote by , the corresponding value of . Next we show that an operator-valued function which is constant on the ’s is a Fourier multiplier from to if it satisfies a certain inequality involving bounds.
**Proposition 3.1. **Assume for and , are UMD spaces. Further let be a function which is constant on each and zero on Assume that
[TABLE]
for every multiindex and Then is a Fourier multiplier from into . The norm of may be estimated by
[TABLE]
where and are the unconditional constants and is the –bound found in Lemma 3.4.
**Proof. **By Lemma 3.4, each is a Fourier multiplier in . We denote the operators by For we get
[TABLE]
Then by using the same reasoning as used in we obtain
[TABLE]
where are operators defined by
[TABLE]
Since and we have Moreover, since and are unconditional Schauder decompositions of the spaces , respectively and is dense in , it remains to prove that the family is bounded. This step is derived as in , i.e. we show that
[TABLE]
Then in view of Proposition A1 we have with
[TABLE]
In a similar way as it can be shown the following proposition. It will be used to prove the Mikhlin theorem by approximating the given function by piecewise constant multipliers and is a generalization of the same result from for unweighted spaces .
**Proposition 3.2. **Assume for and , are Banach spaces. Let , be Fourier multipliers from to such that in . If reflexive and the sequence
[TABLE]
is uniformly bounded in then the operator is a bounded operator from to with
[TABLE]
The next lemma states that the family of dyadic intervals in can be used to build up an unconditional Schauder decomposition of provided is a UMD space with property ().
Lemma 3.5. Assume for and is a UMD space. For let be the dyadic interval defined by and Then:
(a) If , then the family is an unconditional Schauder decomposition of
(b) If has property (), then the assertion of part (a) is true for arbitrary .
**Proof. **(a) It is clear that the ’s are projections in and that . Let be any enumeration of . We have to prove that
[TABLE]
This convergence is clear for . In view of a –argument it remains to show that the set is uniformly bounded. To this aim we define the function by
[TABLE]
By Proposition A4 of we get that each is a Fourier multiplier in Moreover, the proof the Proposition A4 in shows that the family is uniformly bounded. Hence, we get
[TABLE]
[TABLE]
This gives the assertion (a). By Proposition A2 we get that the collection is bounded which in view of Proposition A1 yields that the product of two unconditional Schauder decompositions is again an unconditional Schauder decomposition. The general case now follows by induction.
**Proof of Theorem 3.1. **Without loss of generality we assume for To apply Propositions 3.1 and 3.2 we use the decomposition of Lemma 3.5 to approximate . Now, we cut each into pieces and define
[TABLE]
where
[TABLE]
In view of Proposition 3.1 we have to estimate the bounds
[TABLE]
for all independently of . For this expression is trivially bounded by . For let be the smallest index with . Every with and has a term with for and . Now, by using the same reasoning as used in the proof of Theorem 3.6 of by Corollary 3.1 we get the desired estimate
[TABLE]
[TABLE]
which completes the proof.
Remark 3.1. If does not have property (), we can use another decomposition of to get an unconditional Schauder decomposition of . But without property () we have to impose stronger conditions on to get boundedness of the corresponding multiplier operator.
**Proof of Theorem 3.2. **For , let and be the unique numbers satisfying . Set
[TABLE]
and define Let be the unique representation of For , with define the operator by
[TABLE]
where
[TABLE]
Then, by reasoning as the proof of Theorem 3.7 in we get the assertion.
4. Embeding theorems in Sobolev-Lions type spaces
The embedding of Sobolev-Lions spaces play important roll in the regularity theory of PDE with operator coefficients. In this section, we show continuity of embedding operators in anisotropic Sobolev-Lions spaces.
Let
[TABLE]
[TABLE]
[TABLE]
From we have
Lemma 4.1. Assume is a positive linear operator on a Banach space . Then for any and the operator-function
[TABLE]
is bounded in uniformly with respect to and i.e. there exists a constant such that
[TABLE]
for all and
One of main result of this section is the following:
Theorem 4.1. Let for Assume is an UMD space and is a positive operator in . Then for the embedding
[TABLE]
is a continuous and there exists a constant depending only on , such that
[TABLE]
for and
Proof. It is clear to see that
[TABLE]
[TABLE]
Hence, denoting by we get from the following estimate
[TABLE]
[TABLE]
where , are positive constants depending only of and . Similarly, there exist positive constants and such that for we have
[TABLE]
Therefore, for proving the inequality it suffices to show
[TABLE]
[TABLE]
Therefore, the inequality will follow if we prove the following estimate
[TABLE]
for where
[TABLE]
Due to positivity of the operator function has a bounded inverse in for all and So, we can set
[TABLE]
The inequality will follow immediately from if we can prove that the operator-function is a multiplier in uniformly with respect to So, by Theorem 3.1 it suffices to show that the set
[TABLE]
is bounded uniformly in , i.e.
[TABLE]
By Lemma 4.1 there exists a constant such that the following uniform estimate holds
[TABLE]
Let first, where and for . Then, by using the resolvent properties of we obtain
[TABLE]
[TABLE]
[TABLE]
[TABLE]
Repeating the above process, we obtain that there exists a constant depending only such that
[TABLE]
for , and for all , . Due to -positivity of and by we obtain that the set
[TABLE]
is bounded uniformly in . Then, by virtue of Kahane’s contraction principle and by we obtain that the set
[TABLE]
is uniformly -bounded. Moreover, by using the inequalities of moment for positive operators and Young’s we get that
[TABLE]
where
[TABLE]
Then thanks to -boundedness of we have
[TABLE]
for all , , , where is a sequence of independent symmetric -valued random variables on . Thus, in view of Kahane’s contraction principle, additional and product properties of -bounded operators and , we obtain
[TABLE]
[TABLE]
The estimate implies -boundedness of the set , which implies the assertion.
It is possible to state Theorem 4.1 in a more general setting. For this aim, we use the concept of extension operator.
Condition 4.1. Let for . Let be a positive operator in UMD space Assume a region such that there exists bounded linear extension operator from to for
Remark 4.1. If is a region satisfying the strong horn condition (see , p.117 for and ) then for there exists a bounded linear extension operator from to
Theorem 4.2. Assume conditions of Theorem 4.1 and Condition 4.1 are satisfied. Then for the embedding
[TABLE]
is continuous and there exists a constant depending only of , such that
[TABLE]
[TABLE]
for and
Proof. It is suffices to prove the estimate Let is a bounded linear extension operator from to and let be the restriction operator from to Then for any we have
[TABLE]
[TABLE]
[TABLE]
Result 4.1. Assume the conditions of Theorem 4.2 are satisfied. Then for we have the following multiplicative estimate
[TABLE]
Indeed, setting
[TABLE]
in we obtain
Theorem 4.3. Suppose conditions of Theorem 4.1 are hold. Then for the embedding
[TABLE]
is continuous and there exists a constant depending only of , such that
[TABLE]
for and
**Proof. **It is sufficient to prove the estimate for By definition of interpolation spaces (see ) the estimate is equivalent to the inequality
[TABLE]
[TABLE]
By multiplier properties, the inequality will follow immediately if we will prove that the operator-function
[TABLE]
is a multiplier from to This fact is proved by the same manner as Theorem 4.1. Therefore, we get the estimate
In a similar way, as the Theorem 4.2 we obtain
Theorem 4.4. Suppose conditions of Theorem 4.2 are hold. Then for the embedding
[TABLE]
is continuous and there exists a constant depending only of , such that
[TABLE]
for and
Result 4. 2. Suppose the conditions of Theorem 4.2 are hold. Then for we have the following multiplicative estimate
[TABLE]
Indeed setting in we obtain
From Theorem 4.2 we obtain
Result 4.3. Assume the conditions of Theorem 4.2 are satisfied for Then for the embedding
[TABLE]
is continuous and there exists a constant depending only of , such that
[TABLE]
for and where
[TABLE]
Result 4.3. If , where is a Hilbert space and , then we obtain the well known Lions-Peetre result. Moreover, the result of Lions-Peetre is improving even in the one dimensional case and for non selfedjoint positive operators
From Theorems 4.2 we obtain
Result 4.4. Suppose the conditions of Theorem 4.2 are satisfied for Then for the embedding
[TABLE]
is continuous and there exists a constant depending only of , such that
[TABLE]
for and .
Moreover, if is a bounded domain in and is a compact operator in then for the embedding
[TABLE]
is compact.
If , we get the embedding proved in for Sobolev spaces
Let Consider the following sequence space (see e.g. )
[TABLE]
with the norm
[TABLE]
Note that, Let be infinite matrix defined in such that A=\left[\delta_{ij}2^{si}\right],\where , when when
It is clear to see that the operator is positive in . From Theorem 4.2 we obtain the following results:
**Result 4.5. **Suppose the conditions of Theorem 4.2 are satisfied for . Then for , the embedding
[TABLE]
is continuous and there exists a constant depending only of , such that
[TABLE]
for and
**Result 4.6. **Suppose the conditions of Theorem 4.2 are hold for . Then for the embedding
[TABLE]
is compact.
**Result 4.7. **For , the embedding
[TABLE]
is a continuous and there exists a constant , depending only of , such that
[TABLE]
for and
Note that, these results haven’t been obtained with classical method until now.
5. Separable differential operators in weighted Lebesque spaces
Firstly, consider the leading part of the equation , i.e. consider the following equation
[TABLE]
where are complex numbers, is a linear operator in a Banach space and is a complex parameter.
Let
[TABLE]
**Condition 5.1. ** Let
[TABLE]
for
(b) There exists the positive constat so that
[TABLE]
In this section we prove the following result
Theorem 5.1. Suppose the following conditions hold:
(1) Condition 5.1 is hold;
(2) for ;
(3) is a positive operator in UMD space for .
Then for all and equation has an unique solution that belongs to space and the coercive uniform estimate holds
[TABLE]
Proof. By applying the Fourier transform to the equation we get
[TABLE]
where
[TABLE]
Since for all the operator is invertible in . So, we obtain that the solution of the equation can be represented in the form
[TABLE]
By using we have
[TABLE]
[TABLE]
Hence, it is suffices to show that the operator-functions
[TABLE]
[TABLE]
are multipliers in To see this, it is suffices to show that the following collections
[TABLE]
are bounded in uniformly in , where
[TABLE]
Due to positivity of , the set
[TABLE]
is -bounded. Moreover, by using the same reasoning as used in the proof of Theorem 4.1 and in view of (3) condition we obtain that the set
[TABLE]
is -bounded uniformly in . Then by virtue of of Kahane’s contraction principle, by product properties of the collection of -bounded operators (see e.g. Lemma 3.5., Proposition 3.4. in ) and due to positivity of operator we obtain
[TABLE]
[TABLE]
The estimates by Theorem 3.1 imply that the operator functions and are multipliers.
Let denote the differential operator in that generated by problem for that is
[TABLE]
The estimate implies that the operator has a bounded inverse from into We denote by differential operator in that generated by problem , i.e.
[TABLE]
Theorem 5.2. Suppose all conditions of Theorem 5.1 are hold and
[TABLE]
Then for all and with sufficiently large equation has an unique solution that belongs to space and the uniform coercive estimate holds
[TABLE]
Proof. In view of condition on and by virtue of Theorem 4.1 there is such that
[TABLE]
[TABLE]
for . Then from estimates and for we have
[TABLE]
Since for we get
[TABLE]
[TABLE]
From estimates and for we obtain
[TABLE]
Then choosing and such that from for sufficiently large we have
[TABLE]
Since we have the relation
[TABLE]
so by using the estimates and the perturbation theory of linear operators we obtain the assertion.
From Theorem 5.2 we obtain the following results:
**Result 5.1. **Assume the conditions of Theorem 5.2 are satisfied. Then there exists a constant and depending only on , such that
[TABLE]
for all and for sufficiently large
**Result 5.2. **Assume the conditions of Theorem 5.2 are satisfied. Then the resolvent operator satisfies the following coercive sharp estimate holds
[TABLE]
for
The** Result 5.2 implies that operator **is positive operator in . Then by virtue of the operator is a generator of an analytic semigroup in for
**6. The Cauchy problem for abstract parabolic equation **
Consider now, the Cauchy problem In this section we obtaın the existence and uniqueness of the maximal regular solution of problem . First all of we show
**Theorem 6.1. **Assume the conditions of Theorem 5.1 are satisfied. Then the operator is -positive in
**Proof. **Theorem 5.1 implies that the operator is positive in . We have to prove the -boundedness of the set
[TABLE]
From Theorem 5.1 we have
[TABLE]
for where
[TABLE]
By definition of -boundedness, it is sufficient to show that the operator function (depended on variable and parameters ) is uniformly bounded multiplier in In a similar manner one can easily show that is multiplier in Then, by definition of -boundedness we have
[TABLE]
[TABLE]
for all , , , where is a sequence of independent symmetric -valued random variables on . Hence, the set is -bounded.
For , will be denoted the space of all -valued -summable weighted functions with mixed norm, i.e. the space of all measurable functions defined on for which
[TABLE]
Analogously, denotes the Sobolev-Lions space with corresponding mixed norm, i.e.
[TABLE]
[TABLE]
The main result of this section is the following:
Theorem 6.2. Assume all conditions of Theorem 5.1 hold for and . Then for problem has a unique solution satisfying
[TABLE]
Proof. So, the problem can be expressed as
[TABLE]
By the Result 5.2 the operator is positive in . The Theorem 6.1 implies that is positivity in for Then by virtue of we obtain that, for the Cauchy problem has a unique solution satisfying
[TABLE]
In view of Result 5.1 the operator is separable in i.e, the estimate implies .
**7. Degenerate abstract differential equations **
Let us consider the problem
[TABLE]
where , are linear operators in a Banach space and is a complex parameter, where
[TABLE]
here are positive measurable functions on
Let
[TABLE]
[TABLE]
Here,
[TABLE]
Let
[TABLE]
Remark 7.1.
Under the substitution
[TABLE]
the spaces and are mapped isomorphically onto the weighted spaces , where
[TABLE]
Moreover, under the transformation the problem is mapped to the undegenerate problem considered in the weighted space .
**Condition 7.1. **Assume holds and for and
From Theorem 5.2 and Remark 7.1 we obtain the following results:
**Result 7.1. **Assume the conditions of Theorem 5.2 are satisfied. Then for all and with sufficiently large equation has an unique solution that belongs to and the uniform coercive estimate holds
[TABLE]
Let denote the operator in generated by the problem
**Result 7.2. **Assume the conditions of Theorem 5.2 and the Condition 7.1 are satisfied. Then the resolvent operator satisfies the following sharp estimate
[TABLE]
for
The** Result 5.2 implies that operator **is positive operator in . Then by virtue of the operator is a generator of an analytic semigroup in for
Consider the Cauchy problem for degenerate parabolic equation
[TABLE]
[TABLE]
where are complex numbers and is a linear operator in a Banach space
For , let denotes for Analogously, denotes the Sobolev-Lions space with corresponding mixed norm, i.e.
[TABLE]
[TABLE]
From Theorem 6.2 and Remark 7.1 we obtain the following results:
**Result 7.3. **Assume all conditions of Theorem 5.1 and the Condition 7.1 are satisfied for and . Then for all problem has a unique solution satisfying
[TABLE]
8. Maximal regularity properties of infinite many system of parabolic equations
Consider the Cauchy problem for infinite many system of parabolic equations
[TABLE]
[TABLE]
where and are complex numbers.
**Condition 8.1. **Let
[TABLE]
Let
[TABLE]
[TABLE]
[TABLE]
Here,
[TABLE]
Theorem 8.1. Assume the Conditions 5.1 and 8.1 are satisfied. Then for all problem has a unique solution that belongs to space and the coercive sharp estimate holds
[TABLE]
**Proof. **Let be a matrix such that , It is easy to see that
[TABLE]
where , are entries of the corresponding adjoint matrix of Since the matrix is symmetric and positive definite, it generates a positive operator in for For all , and independent symmetric -valued random variables , we have
[TABLE]
[TABLE]
[TABLE]
Since is symmetric and positive definite, we have
[TABLE]
From and we get
[TABLE]
i.e., the operator is -positive in Hence, by Theorem 6.2 we obtain the assertion.
Remark 8.1. There are a lot of positive operators in different concrete Banach spaces. Therefore, putting concrete Banach spaces instead of and concrete differential, pseudo differential operators, or finite, infinite matrices instead of by virtue of Theorems 5.2 and 6.2 we can obtained the different class of maximal regular partial differential equations or system of equations.
Acknowledgements
The author would like to express a gratitude to Dr. Neil. Course for his useful advice in English in preparing of this paper
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