On the domain of elliptic operators defined in subsets of Wiener spaces
D. Addona, G. Cappa, S. Ferrari

TL;DR
This paper characterizes the domain of elliptic operators associated with quadratic forms in subsets of Wiener spaces, focusing on the Ornstein-Uhlenbeck operator on half-spaces with explicit boundary conditions.
Contribution
It provides a complete characterization of the operator's domain in Wiener spaces, especially for half-spaces, with explicit boundary conditions involving the Hausdorff-Gauss measure.
Findings
Explicit domain description for Ornstein-Uhlenbeck operator on half-spaces.
Boundary conditions involve the Hausdorff-Gauss surface measure.
Results extend understanding of elliptic operators in infinite-dimensional spaces.
Abstract
Let be a separable Banach space endowed with a non-degenerate centered Gaussian measure . The associated Cameron-Martin space is denoted by . Consider two sufficiently regular convex functions and . We let and . In this paper we are interested in the domain of the the self-adjoint operator associated with the quadratic form \begin{gather} (\psi,\varphi)\mapsto \int_\Omega\langle\nabla_H\psi,\nabla_H\varphi\rangle_Hd\nu\qquad\psi,\varphi\in W^{1,2}(\Omega,\nu).\qquad\qquad (\star) \end{gather} In particular we obtain a complete characterization of the Ornstein-Uhlenbeck operator on half-spaces, namely if and is an affine function, then the domain of the operator defined via is the space \[\{u\in W^{2,2}(\Omega,\mu)\,|\, \langle\nabla_H u(x),\nabla_H…
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On the domain of elliptic operators defined in subsets of Wiener spaces
D. Addona
Dipartimento di Matematica e Informatica, Università di Ferrara, via Machiavelli, 35, 44121 Ferrara, Italy
,
G. Cappa
Dipartimento di Scienze Matematiche, Fisiche e Informatiche, Università degli Studi di Parma, Parco Area delle Scienze 53/A, 43124 Parma, Italy
and
S. Ferrari∗
Dipartimento di Matematica e Fisica “Ennio de Giorgi”, Università del Salento, Via per Arnesano snc, 73100 Lecce, Italy.
(Date:
∗ Corresponding author)
Abstract.
Let be a separable Banach space endowed with a non-degenerate centered Gaussian measure . The associated Cameron–Martin space is denoted by . Consider two sufficiently regular convex functions and . We let and . In this paper we study the domain of the the self-adjoint operator associated with the quadratic form
[TABLE]
and we give sharp embedding results for it. In particular we obtain a characterization of the domain of the Ornstein–Uhlenbeck operator on half-spaces, namely if and is an affine function, then the domain of the operator defined via (0.1) is the space
[TABLE]
where is the Feyel–de La Pradelle Hausdorff–Gauss surface measure.
Key words and phrases:
Domain of operator, elliptic operator, Wiener space, weighted Gaussian measure, maximal regularity, divergence operator.
2010 Mathematics Subject Classification:
28C20, 35J15, 46G12, 47A07, 47A30
1. Introduction
Let be a separable Banach space with norm , endowed with a non-degenerate centered Gaussian measure . The associated Cameron–Martin space is denoted by , its inner product by and its norm by . The spaces for and are the classical Sobolev spaces of the Malliavin calculus (see [8, Chapter 5]).
The aim of this paper is to study the domain of the self-adjoint operator associated with the quadratic form
[TABLE]
where is a convex subset of , and is a convex function, is the gradient along of and is the Sobolev space on associated to the measure (see Section 2). These operators arise in Kolmogorov equations in Hilbert spaces corresponding to stochastic variational inequalities with reflection, such as
[TABLE]
where is the normal cone to and is a -valued cylindrical Wiener process (here is a Hilbert space). This is because, at least formally, the transition semigroup is generated by .
In the case of the standard Gaussian measure in a convex subset with sufficiently regular boundary, the operator reads as
[TABLE]
so that, if is sufficiently regular, is an elliptic operator with possibly unbounded coefficients, and its domain in is
[TABLE]
where is the exterior normal derivative at the boundary of (see [15] and [31]). In the infinite dimensional case there is a characterization for the Ornstein–Uhlenbeck operator, when is the whole space and (see [8, Section 5.6]). In this case the operator is the infinitesimal generator of the Ornstein–Uhlenbeck semigroup
[TABLE]
in and its domain is . Further results were obtained in [12], assuming has -Lipschitz gradient, and is the whole space. In this case too the domain is . We want to point out that in [33] the authors study in detail the case of non-symmetric Ornstein–Uhlenbeck operators on the whole space.
This paper is a first attempt to give a characterization of the domain of in a more general setting. In order to state the main results of this paper we need some hypotheses on the set and on the weighted measure .
Throughout the paper we take , where satisfies the following assumptions.
Hypothesis 1.1**.**
Let be a version of a function belonging to for every . We fix a version of and a version of such that
- (1)
is convex and, for every , the functions is -precise (see Section 2.2); 2. (2)
for every , the functions and are -precise and -precise, respectively (see Section 2.2); 3. (3)
and is closed; 4. (4)
for every ; 5. (5)
for -a.e. , is twice differentiable along at , i.e., for -a.e. there exists and a Hilbert-Schmidt operator such that
[TABLE]
Here is the Feyel–de La Pradelle Hausdorff–Gauss surface measure (see [23]); 6. (6)
for -a.e .
Hypotheses 1.1(1)-(4) are taken from [13] and [11] in order to define traces of Sobolev functions on level sets of and to get maximal Sobolev regularity estimates for elliptic equations associated to the operator . In particular, Hypothesis 1.1(3) implies that the distance function introduced in Section 5 enjoys good properties. Hypotheses 1.1(5)-(6) allow us to prove Lemma 4.3 which is generalization of a classical result in differential geometry (see [29], [6] and [10]).
Hypothesis 1.2**.**
is a proper, convex, lower semicontinuous and twice continuously differentiable along function belonging to for some (see Section 2 for the definition of differentiability along ). We set
[TABLE]
The assumption may sound strange, but it is helpful to define the weighted Sobolev spaces . Indeed, let us observe that, by [1, Lemma 7.5], belongs to for every . Thus if satisfies Hypothesis 1.2, then it satisfies [21, Hypothesis 1.1]; namely for some and for some . Then following [21] it is possible to define the space as the domain of the closure of the gradient operator along (see Section 2 for an in-depth discussion).
From here on, we will denote by the trace operator acting on Sobolev functions (see Section 2.6), by the Feyel–de La Pradelle Hausdorff–Gauss surface measure (see [22]) and by the space of the restriction to of cylindrical twice differentiable functions on with bounded derivatives (see Section 2.2). We remark that, by [24, Theorem 3.1(2)], , for -a.e. and every . An important space in our investigation is
[TABLE]
endowed with the norm
[TABLE]
We remark that is a Hilbert space. We will also study the following subspace of
[TABLE]
endowed with the norm (1.3).
Our main results are the following characterizations of the domain of the self-adjoint operator when is the whole space or a half-space. We recall that by we denote the graph norm, i.e. for
[TABLE]
Theorem 1.3**.**
Assume that Hypothesis 1.2 holds and that is dense in . Then . Moreover, for every , it holds
[TABLE]
and fixed any orthornomal basis of
[TABLE]
where the series converges in (See Section 2 for the definition of the operator).
We remark that if the weight is such that is Lipschitz continuous, or more generally -Lipschitz (see Section 2), then is dense in , so that the assumption of Theorem 1.3 is satisfied (see Corollary 6.2).
When where and , i.e. if is a half-space, we want to remark that the Neumann boundary condition: for -a.e. , read
[TABLE]
for -a.e. , where is the unique vector of such that
[TABLE]
Such an element exists since is a continuous linear functional on .
Theorem 1.4**.**
Assume that Hypothesis 1.2 holds and is an affine function, namely where and . If the space
[TABLE]
where is defined in (1.4), is dense in the space of , then . Moreover, for every , it holds
[TABLE]
and fixed any orthornomal basis of
[TABLE]
where the series converges in (See Section 2 for the definition of the operator).
We remark that showing the density of in is not an easy task. This difficulty can be overcome if belongs to the class of Neumann extension domains.
Definition 1.5**.**
Let be the completion of the space with respect to the norm defined in (1.3). We say that is a Neumann extension domain if there exists a linear operator from into such that for every
- (1)
for -a.e ; 2. (2)
there is , independent of , such that .
The operator is called Neumann extension operator.
Theorem 1.6**.**
Assume that Hypothesis 1.2 holds and that is a Neumann extension domain satisfying Hypothesis 1.1. Then . Moreover, for every , it holds
[TABLE]
and fixed any orthornomal basis of
[TABLE]
where the series converges in (See Section 2 for the definition of the operator).
The characterization of Neumann extension domains is an open problem in Wiener space theory. The only known results are mainly negative (see [7]), but if is a half-space and , it is known that an extension operator can be constructed (see [7]). Since we were unable to find explicit computations in the literature, we made them in Lemma 7.1. Applying Theorems 1.4, 1.6 and Lemma 7.1 we get the following characterization of the domain of the Ornstein–Uhlenbeck operator on half-spaces, i.e. and is an affine function.
Theorem 1.7**.**
Assume that Hypothesis 1.2 holds and is an affine function, namely with and . Then
[TABLE]
where is defined in (1.4). Moreover, for every , it holds
[TABLE]
and fixed any orthornomal basis of
[TABLE]
where the series converges in (See Section 2 for the definition of the operator). In addition the space
[TABLE]
is dense in with respect to the graph norm.
The paper is organized as follows: in Section 2 we recall some basic definitions and we fix the notations. Section 3 is dedicated to the study of the second order analysis of the Moreau–Yosida approximations along , that are used to prove Theorems 1.3. In section 4 we will introduce the divergence operator as minus the formal adjoint of the gradient operator along and investigate its properties. Namely, consider the space
[TABLE]
For every put
[TABLE]
Let be the completion of the space with respect to the norm defined in (1.10). As usual the elements of can be identified as equivalence classes of vector fields with respect to the -a.e. equivalence relation. It is easy to see that is a Hilbert space. In Proposition 4.4 we will prove that the space is contained in the domain of the divergence operator in and for every . Furthermore an explicit formula for the calculation of is given by (4.16).
We remark that without loss of generality we can assume that the sequence in (1.9) is a sequence of orthonormal elements of (indeed, it is enough to apply the Gram-Schmidt procedure). Moreover, we stress that the boundary integral in (1.10) in general cannot be estimated by the -norm of . This fact depends not only from the presence of the second order derivatives of , but also from the trace theory in infinite dimensions. Indeed, as shown in [21] the trace of belongs to for any , where is the number fixed in Hypothesis 1.2. In particular if then we do not know if the trace operator is continuous in .
In Section 5 we obtain maximal Sobolev regularity estimates for the weak solution of the problem
[TABLE]
where , and . We say that is a weak solution of problem (1.11) if
[TABLE]
Notice that the unique weak solution of problem (1.11) satisfies , where is the resolvent of . We recall that results about existence, uniqueness and regularity of the weak solution of problem (5.1), in domains with sufficiently regular boundary, are known in the finite dimensional case (see the classical books [25] and [28] for a bounded and [6], [15], [32], [16] and [17] for an unbounded ). If is infinite dimensional maximal Sobolev regularity results are known when is a separable Hilbert space. See for example [2] and [3] where and [19] where is bounded from below. When more results are known, see for example [14], [34] and [30] if is finite dimensional, [18] if is a Hilbert space and [12] if is a separable Banach space. If is general separable Banach space and , then the only results regarding maximal Sobolev regularity are the one contained in [10], where the second named author studied problem (5.1) when , namely when is the Ornstein–Uhlenbeck operator on , and in [11], where the second and third named authors studied the general case.
In Section 6 we prove Theorems 1.3, 1.4 and 1.6 and some related corollaries. Finally, in Section 7 we provide some examples to which our results can be applied. In particular we study the case when is the unit ball of a Hilbert space and we prove Theorem 1.7.
2. Notation and preliminaries
We will denote by the topological dual of . We recall that . The linear operator
[TABLE]
is called the covariance operator of . Since is separable, then it is actually possible to prove that (see [8, Theorem 3.2.3]). We denote by the closure of in . The covariance operator can be extended by continuity to the space , still by formula (2.1). By [8, Lemma 2.4.1] for every there exists a unique with , in this case we set
[TABLE]
Throughout the paper we fix an orthonormal basis of such that belongs to , for every . Such basis exists by [8, Corollary 3.2.8(ii)].
2.1. Differentiability along
We say that a function is differentiable along at if there exists such that
[TABLE]
uniformly with respect to , with . In this case, the vector is unique and we set . Moreover, for every the derivative of in the direction of exists and it is given by
[TABLE]
We denote by the space of the Hilbert–Schmidt operators in , that is the space of the bounded linear operators such that is finite (see [20]). We say that a function is twice differentiable along at if it is differentiable along at and there exists such that
[TABLE]
uniformly with respect to , with . In this case the operator is unique and we set . Moreover, for every we set
[TABLE]
2.2. Special classes of functions
For , we denote by ( respectively) the space of the cylindrical function of the type where (, respectively) and , for some . We remark that is dense in for all (see [21, Proposition 3.6]). We recall that if , then for every and .
If is a Banach space, a function is said to be -Lipschitz if there exists a positive constant such that
[TABLE]
for every and -a.e. (see [8, Section 4.5 and Section 5.11]). We denote with the best constant appearing in (2.3).
A function is said to be -continuous, if , for -a.e. .
2.3. Sobolev spaces
The Gaussian Sobolev spaces and , with , are the completions of the smooth cylindrical functions in the norms
[TABLE]
Such spaces can be identified with subspaces of and the (generalized) gradient and Hessian along , and , are well defined and belong to and , respectively. The spaces are defined in a similar way, replacing smooth cylindrical functions with -valued smooth cylindrical functions (i.e. the linear span of the functions , where is a smooth cylindrical function and ). For more information see [8, Section 5.2].
Now we consider . This operator is closable in whenever (see [21, Definition 4.3]). For such we denote by the domain of its closure in . In the same way the operator is closable in , whenever (see [12, Proposition 2.1]). For such we denote by the domain of its closure in . The spaces are defined in a similar way, replacing smooth cylindrical functions with -valued smooth cylindrical functions.
We want to point out that if Hypothesis 1.2 holds, then . In particular the above arguments allows us to define the Sobolev spaces and .
We shall use the integration by parts formula (see [21, Lemma 4.1]) for with :
[TABLE]
where is defined in formula (2.2). Finally, we recall that if satisfies Hypothesis 1.2 then for every
[TABLE]
where the series converges in (see [21, Proposition 5.3]).
2.4. Capacity
Let be the infinitesimal generator of the Ornstein–Uhlenbeck semigroup in , where
[TABLE]
For , we define the -capacity of an open set as
[TABLE]
For a general Borel set we let . By we mean an equivalence class of functions and we call every element “version”. For any there exists a version of which is Borel measurable and -quasicontinuous, i.e. for every there exists an open set such that and is continuous. Furthermore, for every
[TABLE]
See [8, Theorem 5.9.6]. Such a version is called a -precise version of . Two precise versions of the same coincide outside sets with null -capacity. All our results will be independent on our choice of a precise version of in Hypothesis 1.1. With obvious modification the same definition can be adapted to functions belonging to and .
2.5. Sobolev spaces on sublevel sets
The proof of the results stated in this subsection can be found in [13] and [21]. Let be a function satisfying Hypothesis 1.1. We are interested in Sobolev spaces on sublevel sets of .
For , we denote by the space of the restriction to of functions in . For any , the spaces and are defined as the domain of the closure of the operators and , respectively. See [13, Lemma 2.2] and [10, Proposition 1].
We recall that and are closable operators in , whenever (see [21, Proposition 6.1] and [11, Proposition 2.2]). For such values of we denote by the domain of its closure in and we will still denote by the closure operator. The space is defined in the same way.
Finally we want to remark that if Hypotheses 1.1 and 1.2 hold, then . In particular the Sobolev spaces and are well defined.
2.6. Traces of Sobolev functions
By we indicate the Feyel–de La Pradelle Hausdorff–Gauss surface measure. For a comprehensive treatment of surface measures in infinite dimensional Banach spaces with Gaussian measures we refer to [23], [22] and [13].
Traces of Sobolev functions in infinite dimensional Banach spaces have been studied in [13] in the Gaussian case and in [21] in the weighted Gaussian case. We stress that in [13] the definition of Sobolev Spaces is different with respect to the our one, but these two definitions coincide in the case of Gaussian measure. Assume that Hypotheses 1.1 and 1.2 hold and let . If we define the trace of on as follows:
[TABLE]
and it is possible to prove that for any , where is the real number fixed in Hypothesis 1.2. Here, is any sequence in , the space of bounded and Lipschitz functions on , which converges in to . The definition does not depend on the choice of the sequence in approximating in (see [21, Proposition 7.1]). In addition the following result holds.
Proposition 2.1**.**
Assume that Hypotheses 1.1 and 1.2 hold. Then the operator is continuous for every and . Moreover, if , then the trace operator is continuous from to for every and (see [13, Corollary 4.2] and [21, Corollary 7.3]).
We will still denote by if , for , and . The main result of [21] is the following integration by parts formula.
Theorem 2.2**.**
Assume that Hypotheses 1.1 and 1.2 hold and let . For every and we have
[TABLE]
Another important result, that we will use in this paper, is the following (see [13, Proposition 4.8] and [21, Proposition 7.5]).
Proposition 2.3**.**
Assume that Hypotheses 1.1 and 1.2 hold and let . Then for every , the trace of at coincides -a.e. with the restriction to of any precise version of .
2.7. The spaces and
We recall the definition of the space and .
[TABLE]
endowed with the norm
[TABLE]
We consider the space
[TABLE]
endowed with the norm (2.5).
We denote by be the completion of the space with respect to the norm defined in (2.5) and by the completion of the space
[TABLE]
with respect to the norm (2.5).
3. Second-order analysis of the Moreau–Yosida approximations along
We start this section by recalling the definition of the subdifferential of a convex semicontinuous function. If is a proper, convex and lower semicontinuous function, we denote by the domain of , namely , and by the subdifferential of at the point , i.e.
[TABLE]
For a classical treatment of subdifferentials of convex functions we refer to [37] and [4].
We recall that for the Moreau–Yosida approximation along of a proper convex and lower semicontinuous function is
[TABLE]
See [12, Section 3] and [11, Section 4] for more details and [9] and [5, Section 12.4] for a treatment of the classical Moreau–Yosida approximations in Hilbert spaces, which are different from the ones defined in (3.1). Second-order analysis of the classical Moreau–Yosida approximations have been studied in various papers, e.g. [38], [36] and [35].
In the following proposition we recall some results contained in [12, Section 3] and in [11, Section 4].
Proposition 3.1**.**
Let , and be a proper convex and lower semicontinuous function. The following properties hold:
- (1)
the function defined as , has a unique global minimum point . Moreover in as goes to zero; 2. (2)
* as . In particular for every and ;* 3. (3)
for , we have if, and only if, , for every ; 4. (4)
the function defined as is Lipschitz continuous, with Lipschitz constant less than or equal to ; 5. (5)
* is differentiable along at every point . In addition, for every , we have ;* 6. (6)
* belongs to , whenever for some ;* 7. (7)
let and assume that belongs to for some . If we define as , then is proper convex and lower semicontinuous function. Moreover, and ; 8. (8)
let and assume that belongs to for some . Then converges to as goes to zero.
The last property we need is the convergence of the second-order derivative along .
Proposition 3.2**.**
Let for some and . Assume that is twice differentiable along at every point . Then for every there exists , and converges to as goes to zero.
Proof.
By Proposition 3.1(7) we get . We can differentiate along since admits a -gradient (it is -Lipschitz).
[TABLE]
If we let then, by 3.1(8), we get . ∎
4. The divergence operator
We start this section by recalling the definition of divergence, see [8, Section 5.8] for the case . For every measurable map and for every we define
[TABLE]
Definition 4.1**.**
Let be a vector field. We say that admits divergence if there exists a function such that
[TABLE]
for every , where has been defined in (4.1). If such a function exists, then we set . Observe that, when exists, it is unique by the density of in (see [21]). We denote by the domain of in . Lastly, we observe that if , then for . In this case (4.2) becomes
[TABLE]
We remark that in -setting, the divergence operator is , the -adjoint of the the gradient along operator. Indeed, for any and any we get
[TABLE]
The following two technical lemmata are crucial to show Theorems 1.3 and 1.4. In particular, the second one is a generalization of a well known result in differential geometry, see [29], [6] and [10].
Lemma 4.2**.**
If Hypothesis 1.2 holds, then
[TABLE]
If , let Hypotheses 1.1 and 1.2 hold true, and let and . Then
[TABLE]
Proof.
We will only prove (4.5), since the proof of (4.4) is essentially the same. We will use Theorem 2.2 several times. We have
[TABLE]
∎
Lemma 4.3**.**
Assume Hypotheses 1.1. Let the space defined in (1.9). Then for -a.e.
[TABLE]
Proof.
The proof is rather long and it will be split into various steps. Let be the orthonormal basis of associated with given by the definition of the space . By Hypothesis 1.1, Proposition 2.3 and the very definition of the set
[TABLE]
has full measure. We will prove that (4.6) holds for every point belonging to . By (4.10) we have , so there exists such that
[TABLE]
Without loss of generality, we can assume that . By the very definition of the space there exist , and such that for every it holds
[TABLE]
and . For we set .
- Step 1:
Let us consider the space
[TABLE]
endowed with the Hilbert space norm . We denote its inner product by and recall that is an orthonormal basis for and . We want to apply the implicit function theorem to a function defined on . Let be the function defined as
[TABLE]
Observe that and
[TABLE]
where is the derivative with respect the second variable. Since (1.1) implies that is Fréchet differentiable at [math], applying the implicit function theorem, see [29, Theorem 5.9], we get an open neighborhood of the origin and a continuously Fréchet differentiable function such that for every we have
[TABLE]
Moreover, the function satisfying (4.12) is uniquely determined. Without loss of generality we may assume that is an open ball centered at the origin of radius . We remark that (4.12) implies that for every
[TABLE] 2. Step 2:
We denote by the Fréchet derivative of at the origin. For sufficiently small and by (4.13), for any we get
[TABLE]
Letting go to zero, for any we get
[TABLE] 3. Step 3:
The vector field is defined from to itself. Let be a positive real number which satisfies
[TABLE]
where has been introduced in (4.11). We consider the complete metric space , i.e. the set
[TABLE]
endowed with the complete metric . Let be the function defined as follows:
[TABLE]
for any . The integral in (4.15) should be understood in the Bochner sense. We look for a fixed point of in . We want to use Banach fixed-point theorem, so
[TABLE]
Therefore is a contraction in . We claim that maps into itself. The continuity of is clear, and
[TABLE]
By the Banach fixed-point theorem there exists a unique fixed point of . We remark that and that, up to replace with a smaller one, we can assume that . 4. Step 4:
We consider the function , defined as . We now want to evaluate the function defined as
[TABLE]
and its derivative at the origin. Observe that
[TABLE]
so . Furthermore
[TABLE]
[TABLE]
We finally claim that for every we have . Indeed, recalling that and (4.13), we get
[TABLE] 5. Step 5:
Now We are able to prove (4.6). Indeed, from (1.2), (4.1), and we deduce that
[TABLE]
Then, we have
[TABLE]
∎
In the next theorem we prove that the space is contained in the domain of the divergence, where is the completion of the space with respect to the norm defined in (1.10).
Theorem 4.4**.**
Assume that either Hypotheses 1.1 and 1.2 hold or Hypothesis 1.2 holds and is the whole space. Every vector field has a divergence and for every , the following equality holds:
[TABLE]
Furthermore, if for every where is an orthonormal basis of , then
[TABLE]
where the series converges in . In addition .
Proof.
We prove the theorem assuming Hypotheses 1.1 and 1.2 hold, since the case when Hypothesis 1.2 holds and is the whole space can be proved in a similar way. We start with a preliminary computation. Let , so there exists an orthonormal basis of such that for some and for every . In addition for -a.e . By the integration by parts formula if we have
[TABLE]
So we have
[TABLE]
We recall the definition of the trace operator for nuclear operators . Let and let be an orthonormal basis of ; we say that is a trace class operator if is finite, and we set . In particular, is a trace class operator and (see [8, Appendix A.2]). By Lemmata 4.2 and 4.3
[TABLE]
Let be a sequence of vector fields which converges to in . By (4.22), is a Cauchy sequence in and therefore it converges to an element of which we denote by . By formula (4.21), it is easily seen that satisfies (4.3). Finally, by a standard approximation argument we can conclude that fulfills (4.3) also for every . ∎
We say that a subspace of , endowed with a Banach norm , is a Neumann extension subspace if any satisfies -a.e. on and it admits a continuous linear extension operator, i,e., if there exists a linear operator such that for every
- (1)
and for -a.e ; 2. (2)
there is , independent of , such that .
As a corollary of Theorem 4.4 we get the following.
Corollary 4.5**.**
Assume that Hypotheses 1.1 and 1.2 hold and let be a Neumann extension subspace with norm . Every field has a divergence and for every , the following equality holds:
[TABLE]
Furthermore, if for every , where is an orthonormal basis of , then
[TABLE]
where the series converges in . In addition, .
Proof.
Let us consider the divergence (Theorem 4.4). For -a.e. every let
[TABLE]
We have that
[TABLE]
where . Since the right hand side of (4.23) converges to zero (the series converges to ) we get that is a Cauchy sequence in . We denote by the limit of in and we observe that for every
[TABLE]
We remark that -a.e we have
[TABLE]
and
[TABLE]
Therefore, by the Lebesgue’s dominated convergence theorem and the continuity of the trace operator (Proposition 2.1) we get for any . This means that exists and . Moreover
[TABLE]
∎
Remark 4.6**.**
The subspace of the vector fields such that the extension
[TABLE]
belongs to satisfies the hypotheses of Corollary 4.5.
5. Maximal Sobolev regularity
This Section is devoted to the the study of maximal Sobolev regularity for the equation
[TABLE]
where , and , since a part of the proofs of Theorems 1.3, 1.4 and 1.6 relies on them. The results of this section are sharper than the results contained in [12] and [11].
Our main result is the following theorem.
Theorem 5.1**.**
Assume that Hypotheses 1.1 and 1.2 hold. For every and problem (5.1) has a unique weak solution . In addition the following hold
[TABLE]
In particular .
We split the proof of Theorem 5.1 into two parts: in the Section 5.1 we study the case of and with -Lipschitz gradient, in Section 5.2 we use the results of Section 5.1 to prove Theorem 5.1.
5.1. is the whole space
We start this subsection assuming the following hypothesis on the weight:
Hypothesis 5.2**.**
Let be a function satisfying Hypothesis 1.2. Assume that is differentiable along at every point , and is -Lipschitz.
We remark that every convex function in and every continuous linear functional satisfy Hypothesis 5.2.
We will recall some results about maximal Sobolev regularity contained in [12]. Let us consider the problem
[TABLE]
where , , and . A function of problem (5.5) is said to be a strong solution if there exists a sequence such that converges to in and
[TABLE]
Moreover a sequence satisfying the above conditions is called a strong solution sequence for . The following proposition is borrowed from [12, Proposition 5.8].
Theorem 5.3**.**
Assume that Hypothesis 5.2 holds. For every and , there exists a unique strong solution of equation (5.5). Such strong solution is also a weak solution of problem (5.5). In addition, if is a strong solution sequence for , then converges to in .
When satisfies Hypothesis 5.2 we have the following regularity result.
Theorem 5.4**.**
Let be a function satisfying Hypothesis 5.2, let , , and let be the strong solution of equation (5.5). Then and
[TABLE]
The difference between Theorem 5.4 and the results of [12] is that estimate (5.7) is sharper, since it contains the integral . We stress that, even if is -Lipschitz, which means that is essentially bounded, we can not use the second inequality in (5.6) to estimate (5.7). Indeed, (5.7) is independent of , while (5.6) does not.
Proof.
The proof of (5.6) can be found in [12, Theorem 5.10]. By Proposition 5.3 there exists a sequence and a function such that converges to in and
[TABLE]
Let . Using formula (2.4), we differentiate the equality with respect to the direction, multiply the result by , sum over and finally integrate over with respect to . Then we obtain
[TABLE]
By Fatou’s Lemma and recalling that and converge to and in , respectively, we get
[TABLE]
Using inequalities (5.6) we get
[TABLE]
∎
We will not give the prove of the following theorem, since it can be easily deduced using the results of [12] and the arguments in the proof of Theorem 5.1.
Theorem 5.5**.**
Assume Hypothesis 1.2 holds. Let , , and let be the strong solution of equation (5.5). Then and
[TABLE]
5.2. The general case
Assume that Hypotheses 1.1 and 1.2 hold. Let and let be a Borel set. We define
[TABLE]
can be seen as a distance function from along . This function has been already considered in [27], [39], [8, Example 5.4.10], [26], and [11]. For let be the Moreau–Yosida approximation along of the weight defined in Section 3.
We approach the problem in by penalized problems in the whole space , replacing by
[TABLE]
for . Namely for , we consider the problem
[TABLE]
where , , and . The first result we need to recall is [11, Proposition 5.2].
Proposition 5.6**.**
Assume that Hypotheses 1.1 and 1.2 hold and let . Then the following properties hold:
- (1)
* is a convex and -continuous function;* 2. (2)
* is differentiable along for -a.e. , and -Lipschitz;* 3. (3)
, for every ; 4. (4)
, where is given by Hypothesis 1.2; 5. (5)
\lim_{\alpha\rightarrow 0^{+}}V_{\alpha}(x)={\left\{\begin{array}[]{ll}U(x)&x\in\Omega;\\ +\infty&x\notin\Omega.\end{array}\right.}**
By Proposition 5.6 we can apply Theorem 5.4 to problem (5.8) and get the following maximal Sobolev regularity result (see also [11, Theorem 5.3]).
Theorem 5.7**.**
Assume Hypotheses 1.1 and 1.2 hold and let , and . Equation (5.8) has a unique weak solution . Moreover and
[TABLE]
In addition, for every , there exists a sequence such that converges to in and converges to in .
We are now ready to prove Theorem 5.1.
Proof of Theorem 5.1.
The Neumann condition (5.2) and estimates (5.3) have been proved in [11, Theorems 1.3 and 1.4]. Hence, it remains to prove (5.4). Let . By Theorem 5.7, for every the equation (5.8) has a unique weak solution such that inequalities (5.9) and (5.10) hold. Moreover, for every we have
[TABLE]
By Proposition 5.6 and Proposition 3.1(2) we have
[TABLE]
and so the inclusion follows, for every .
Let be a sequence converging to zero such that for every . By inequalities (5.9) and (5.10) the sequence is bounded in . By weak compactness there exists a subsequence, that we will still denote by , such that weakly converges to an element . Without loss of generality we can assume that , and converge pointwise -a.e. respectively to , and . By Fatou’s lemma and inequality (5.10) we get
[TABLE]
Finally, if , a standard density argument gives us the assertions of our theorem. ∎
6. Proof of the main results and some corollaries
Theorems 1.3, 1.4 and 1.6 are consequence of the following result.
Theorem 6.1**.**
Assume that either Hypotheses 1.1 and 1.2 hold or Hypothesis 1.2 holds and is the whole space. Then . Furthermore if we denote with the graph norm in , i.e. for
[TABLE]
then for and it holds that
[TABLE]
Proof.
We prove the theorem assuming Hypotheses 1.1 and 1.2 hold, since in the case when Hypothesis 1.2 holds and is the whole space the proof can be obtained in a similar way using Theorem 5.5.
Let . Hence, , for every , and by Theorem 5.1 we get . Moreover
[TABLE]
Letting in inequality (6.4) we get .
Assume that . Proposition 4.4 implies that and
[TABLE]
for every . Then we have and . By Proposition 4.4 we have
[TABLE]
for every . ∎
We can actually simplify the statement of Theorem 1.3 when is -Lipschitz and . Indeed, let us observe that if is -Lipschitz then the function is essentially bounded (see [8, Theorem 5.11.2(ii)]). So is isomorphic to , with
[TABLE]
In particular if is -Lipschitz, then is dense in .
Corollary 6.2**.**
Assume Hypothesis 1.2 holds and is -Lipschitz. Then . Moreover, for every , it holds and
[TABLE]
The same holds true, with obvious modifications, when is a Neumann extension domain.
This result has been already proved in [12, Theorem 6.2].
7. Examples
We conclude the paper by presenting some examples. In Subsection 7.1 we study in detail the case when is the ball sphere of a Hilbet space and we show that, in this case, the spaces is non-trivial, namely it is infinite dimensional, but the space contains only the constant functions. In Subsection 7.2 we prove Theorem 1.7 giving a characterization of the domain of the Ornstein–Uhlenbeck operator on half-spaces.
7.1. The unit sphere of a Hilbert space
Let be a separable Hilbert space, with norm and inner product , and let be a centered non-degenerate Gaussian measure on . Let be an orthonormal basis of which consists of eigenvector of the covariance operator , i.e. , it is known that an orthonormal basis of the Cameron–Martin space is (see [8]).
Consider , for any , then
[TABLE]
Clearly, if and only if the unit sphere of . Moreover, easy computations show that for any and any . Hence, if , we have
[TABLE]
for any , and so . So if, and only if, . Finally satisfies Hypothesis 1.1(4)-(5) (see [11]) and .
As an admissible weight we can take , where is a convex function which satisfies
[TABLE]
for some positive integer . It is easy to prove that is convex and satisfies the Hypothesis 1.2.
Observe that
[TABLE]
In particular all the vector fields
[TABLE]
belongs to , so the space is infinite dimensional and contained in the domain of the divergence operator (see Theorem 4.4).
The domain of the operator contains the space , i.e. the completion of the space
[TABLE]
with respect to the norm
[TABLE]
We want to show that in this case the space only contains the constant functions. Indeed let , without loss of generality assume that with . The Neumann boundary condition
[TABLE]
implies
[TABLE]
for -a.e . So the function satisfies the differential equation
[TABLE]
We want to remak that the condition is a consequence of the fact that, if , then the vector belongs to the unit ball of . All the solutions of (7.1) are functions of the form
[TABLE]
where is a sufficiently regular function in . It is easy to see that if is non-constant, then cannot be continuous at the origin.
So Theorem 6.1 only gives us
[TABLE]
We want to remark that a positive answer to the question “Is a Neumann extension domain?” would allow us to apply Theorem 1.6 and get a characterization of the domain of .
7.2. The Ornstein–Uhlenbeck operator on half-spaces
In this section we give a characterization of the domain of the operator , where is a half-space and is a centered non-degenerate Gaussian measure on a separable Banach space . To do so we need some preliminary results, in particular a lemma about extensions of Sobolev functions and a proposition about finite dimensional approximations. We recall that (see [8]).
Let and , throughout this section we set and . We recall that is a linear and continuous functional on , so there exists such that for every
[TABLE]
Finally we remind the reader that
[TABLE]
Lemma 7.1**.**
There exists a Neumann extension operator from to .
Proof.
We use a generalization of the reflection method, adapted to our Gaussian measure. Let and put
[TABLE]
where for every ,
[TABLE]
and
[TABLE]
We start by proving that is well defined. Indeed for and such that we have
[TABLE]
We point out that (7.6) are the classical conditions to prove the continuity of and its derivatives. (7.5) and (7.7) arise from the exponential term in (7.4), which is used to prove the continuity estimate for the extension operator.
The fact that belongs to is obvious. Fix an orthonormal basis of obtained by completing the set , without loss of generality we let . Let such that , then . We have for
[TABLE]
while
[TABLE]
Thus, letting and
[TABLE]
In the same way it holds
[TABLE]
where
[TABLE]
So belongs to and , , for every . Without loss of generality we can assume that there exists and such that for every
[TABLE]
We remark that
[TABLE]
So we have
[TABLE]
We remark that . For every , consider the change of variable:
[TABLE]
We use (7.11) in the second integral of (7.8), and we get
[TABLE]
Using the definition of and we get
[TABLE]
for some constant . So
[TABLE]
where the constant depend only on and for . Using similar arguments on and we get for every
[TABLE]
where is an adequate constant independent of . A standard denstity argument gives the thesis of our lemma. ∎
Using Lemma 7.1 and Theorem 1.6 we get a characterization of the domain of . In order to get Theorem 1.7 we need a further approximation argument.
Proposition 7.2**.**
Let be such that for -a.e. . There exists a sequence belonging to such that
- (1)
* for every and -a.e. ;* 2. (2)
* converges to in .*
Proof.
Fix an orthonormal basis of obtained by completing the set , without loss of generality we let . Let be such that
[TABLE]
Let be the extension defined in Lemma 7.1. We denote with the functions defined as
[TABLE]
for every . We recall that converges pointwise -a.e. to (see [8, Theorem 3.5.1]). Let
[TABLE]
by [8, Corollary 3.5.2 and Proposition 5.4.5] converges to in as goes to infinity and for every
[TABLE]
Observe that if , then for every and
[TABLE]
By (7.12) we get
[TABLE]
for -a.e. .
We are almost done, but we need smoother function satisfying Proposition 7.2(1)-(2). Let . We remind the reader that belongs to and
[TABLE]
Let be the generator of the -dimensional Ornstein–Uhlenbeck operator with homogeneous Neumann condition in , where . By [30, Theorem 12.4.9] we know that the domain of in is
[TABLE]
and
[TABLE]
where is the resolvent operator associate to and . Let , where the equality is meant in . Let be a sequence of bounded smooth function such that converges in to as goes to infinity. We let
[TABLE]
We recall that belongs to and to (see [30, Section 12]). Let
[TABLE]
We get that belongs to and satisfy the Neumann condition at the boundary. Let and consider such that
[TABLE]
So
[TABLE]
Thus the sequence for is the sequence we were lookong for. ∎
As a consequence of Corollary 1.4 and Proposition 7.2, we get Theorem 1.7.
Acknowledgements**.**
The authors would like to thank Prof. Alessandra Lunardi, Prof. Diego Pallara and Prof. Leonardo Biliotti for many useful discussions and comments. The authors are members of GNAMPA of the Italian Istituto Nazionale di Alta Matematica (INdAM).
This research was partially supported by the PRIN 2015 grant: “Deterministic and stochastic evolution equations” and the GNAMPA 2017 project: “Equazioni e sistemi di equazioni di Kolmogorov in dimensione finita e non”.
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