1. Introduction
Within an abstract theoretical framework, this paper is devoted to the shape differentiablity of geometry-dependent objective functions as they are considered in constrained variational problems.
Constraints arise in a variety of applications. The constraint operator (see (
3)) may become: the trace operator under contact conditions [
1,
2,
3], the jump operator for cracks and anticracks [
4,
5,
6], the gradient operator in plasticity [
7], the divergence operator under incompressibility conditions [
8,
9,
10], a state-constraint in mathematical programs with equilibrium constraints [
11,
12], and the like. The constraint problems are related to parameter identification problems (see the theory in References [
13,
14,
15] and application to biological systems in Reference [
16]), to inverse problems by the mean of observation data used in mathematical physics [
17,
18] and in acoustics [
19,
20,
21], to overdetermined and free-boundary problems [
22,
23]. As an application, in the current paper we focus on the incompressible Brinkman flow problem under a divergence-free condition (see the related modeling of porous medium in References [
24,
25], well-posedness analysis in Reference [
26], and fluid–porous coupling with numerics in References [
27,
28]).
For a general theory of (nonlinear) optimization in infinite dimensions we refer to References [
7,
29,
30,
31,
32] for methods of shape optimization and, in particular, shape derivatives. Specifically in fracture mechanics, the shape derivative of energy functionals with respect to a crack extension is called the energy release rate and is of primary importance to engineers as a fracture criterion [
33]. In References [
4,
7], a nonlinear theory of cracks subject to contact conditions and their shape derivatives was developed. Shape perturbation needs a bijective property for function spaces and feasible sets, which, however, fails for curvilinear cracks being in contact. To overcome this obstacle, References [
5,
6] suggest a
-type convergence, and References [
34,
35] propose the use of primal-dual Lagrangian reformulation of the crack problems. In incompressible fluid dynamics, to treat the divergence-free condition, divergence-preserving Piola transformation was employed in Reference [
10], but lacking a mathematical foundation. The Lagrangian approach to shape optimization was developed further for abstract quadratic objective functions, and the direct proof of shape differentiability was given in Reference [
36]. In Reference [
9], we applied the primal-dual technique to the Stokes problem under a divergence-free constraint.
In the current work, we extend the Lagrangian approach to abstract geometry-dependent objective functions based on the theorem of Delfour–Zolésio. Thus, we provide the directional derivative with respect to a parameter of shape perturbation in a general setting. We stress that, while bijection fails for the primal cone (a feasible set of primal variables), we obtained the shape derivative in virtue of the bijection property of the dual cone (a feasible set of dual variables). In
Section 2, we set a geometry-dependent constrained optimization problem in abstract form, and its shape derivative is derived in
Section 3. We applied our theory to a Brinkman flow problem subject to the divergence-free condition in
Section 4 and provide an analytic formula of the shape derivative based on the velocity method.
2. Geometry-Dependent CO Problem
For real parameter
with
, we introduce geometry by a kinematic flow
For every
, let
and
be Hausdorff topological spaces with dual spaces
and
. Using the order relation for measurable functions in
, we specify a
feasible set provided by the inequality constraint:
which is a convex closed cone determined by a linear continuous constraint operator
Extension of Function (
3) to a nonlinear operator can be found in Reference [
23]. For a geometry-dependent objective given by a continuous and generally nonlinear function
we consider the constrained optimization (CO) problem: find
such that
where optimal value (OV) function
. The corresponding solution set implies:
and may be empty, with exactly one (called a singleton) or more elements.
Proposition 1. - (i)
Solution set (6) for CO problem (5) is nonempty under the assumption: - (F1)
there exists a minimizing sequence , such that as and an accumulation point yielding the convergenceand the lower estimate:
- (ii)
If the next assumption holds:
- (F2)
objective function is Gâteaux-differentiable, that is, the following limit exists:with and duality pairing between and ,
then, a first-order optimality condition for CO problem (5) necessitates variational inequality (VI) stated in the form of two relations:Conversely, VI (10) is also sufficient for Problem (5) when - (F3)
objective function in (4) is convex.
- (iii)
Solution set in (6) is a singleton if the condition (F3) is strict: - (F3’)
the objective function in (4) is strictly convex.
Proof. In a reflexive Banach space
, Condition (
7) holds for coercive functions, and Condition (
8) is satisfied for the weakly lower semicontinuous functions
in (
4). The corresponding proof of assertions (i), (ii), and (iii) is standard, see e.g., (Reference [
4] Theorem 1.11). □
For objective OV function
f, we aimed at its shape derivative (SD):
where, according to Problem (
5), the perturbed OV is determined over perturbed geometry
:
The shape sensitivity of VI was investigated in Reference [
32], Chapter 4. However, it can be advantageous to consider a Lagrangian formulation of the problem, see Remark 1.
Let us define the Lagrangian function as
,
with duality pairing
between
and
. For a convex closed cone that is dual to the primal cone (
2) (hence called the dual cone):
a saddle-point (SP) problem related to Problem (
5) reads: find a pair
, such that
The Lagrangian OV function
is defined from the relations
and the corresponding solution sets are
Using Notations (
16) and (
17), Inequalities (
15) determine the set of SP for the Lagrangian (
13):
which may be empty, a singleton, or contain more than one pair
.
Proposition 2. - (i)
Under the following assumption:
- (G1)
mapping , in Problem (3) is surjective,
that is, for every there is at least one , such that , the dual cone (14) can be restated equivalently as the cone of non-negative elements in the dual space: - (ii)
Under Assumptions (G1) and (F1), (F2), (F3), the set of SP in (18) is nonempty, and saddle-point satisfies the optimality system (OS) in the form of variational relations:Primal component is unique when (F3’) holds. Uniqueness of dual component takes place if - (G2)
the Ladyzhenskaya–Babuška–Brezzi (LBB) condition holds: there exists , such that
In this case, sets and in Problem (17) are singletons.
- (iii)
If a saddle-point in Problem (15) exists, then, under assumption (G1), the primal component solves the CO problem (5), and the OV functions for objective (5) and for Lagrangian (16) coincide:
Proof. Assertion (i) is a consequence of the bipolar theorem. In Assertion (ii), using the Proposition 1 solution to the SP problem (
15) can be derived in a standard way by determining
from VI (
10) and by setting Lagrange multiplier
from (
20) (e.g., Reference [
30] Chapter III, Proposition 3.1). Optimality Conditions (
20) and (
21) and the uniqueness assertion under LBB Condition (G2) are stated, for example, in Reference [
3], Theorem 3.14. In Assertion (iii), Problem (
5) follows straightforwardly by excluding
from OS (
20) and (
21), while Identity (
23) is guaranteed by
in
. □
Based on Identity (
23), the shape derivative of Objective (
11) can be substituted by the SD of Lagrangian
as follows:
According to Definition (
16), the perturbed OV
in (
24) is obtained for the perturbed Lagrangian
,
and the perturbed SP problem reads: find a pair
such that
However, the theorem of Delfour and Zolésio on differentiability of Lagrangians with respect to parameter
t (Reference [
31] Chapter 10, Theorem 5.1), which they call the Correa–Seeger theorem, is inapplicable to prove the limit in Problem (
24). The reason is that the Lagrangian (
25) is determined over geometry-dependent spaces, which, in turn, depend on
.
3. Shape Differentiability of Objectives for CO Problems
For the above reason, we further parametrized the geometry in Problem (
1) as follows: For fixed
let
associate coordinate transformation (CT)
and its inverse
:
such that shape perturbation
builds the diffeomorphism
Following the velocity method (e.g., Reference [
36]), a given kinematic velocity
establishes Flow (
27) by solving the nonautonomous ODE and the transport equation [
35]:
Assume that
- (D1)
map
is bijective between the function spaces
- (D2)
map
is bijective between the dual cones
Assumption (D1) determines the transformed perturbed Lagrangian:
,
with continuous function
and continuous operator
, which are resulted from the application of CT (
28):
in such a way that the identity holds:
According to Problem (
37),
and
as
.
Remark 1. We remark that Assumption (D2) on the dual cone stated in the (19) form is advantageous in comparison to the condition on Feasible Set (2): - (D2’)
map is bijective between the feasible setsthat is needed for OV perturbation for the objective in Problem (
12).
In fact, Bijection (D2’) fails for integral and derivative-type operators in Feasible Set (2), which are generally not preserved under velocity-induced geometry flow (see the example in Remark 2).
Under Assumptions (D1) and (D2), we reset the OV function for the transformed perturbed Lagrangian as
,
:
and the corresponding solution sets:
If
, then
,
in (
16), (
40) and
,
for sets (
17) and (
41) according to (
38). Since a solution to Perturbed SP Problem (
26) exists, applying Identity (
38), we get the solution
satisfying the transformed perturbed SP inequalities:
thus, it forms the SP set for transformed perturbed Lagrangian (
36) similar to (
18):
Following Delfour–Zolésio, we assume that a small
and a topology in
exist, such that the following hypotheses resulting from the specific representation (
36) hold:
- (H1)
for all
, the set of saddle-points
in (
44) is nonempty;
- (H2)
for all
and
, there exists a one-sided partial derivative of the transformed perturbed Lagrangian at perturbation parameter
in the form:
obtained from the partial derivatives of the objective and constraint functions as follows
- (H3)
as
, accumulation point
and subsequence
exist, such that
and the lower estimate holds:
- (H4)
as
, accumulation point
and subsequence
exist, such that
The main result is stated in the next theorem.
Theorem 1. - (i)
Under Hypotheses (H1)–(H4), accumulation point of Sequences (47) and (49) implies an SP of the partial derivative on , such thatthe shape derivative exists and is represented by the partial derivative at the accumulation point: - (ii)
Under Assumptions (D1) and (D2), the shape derivatives defined in (24) and (51) coincide:
Proof. (i) According to Hypothesis (H1), SP inequalities (
43) hold for sequence
from Hypotheses (H3) and (H4). In the next section, we used the accumulation point of Sequences (
47) and (
49) and insert it for a test function
into Problem (
43) for
:
We also plugged
into (
43) as
:
Subtracting
from left inequality (
53), using right inequality (
54) and the representation of
in (
36), after division of the result with
leads to
where mean value theorem guarantees existence of weights
in (
55) due to differentiability property (
46). Passing to the limit as
by the virtue of assumptions (
47) and (
48) proceeds (
55) further with the lower estimate:
Similarly, subtracting
from right inequality (
53) and using left inequality (
54) provides the following relations with weights
:
hence the upper bound
Inequalities (
56) and (
58) together imply Equality (
51) yielding the SD
of OV function
given in Problem (
40) for transformed Lagrangian
, thus proving Assertion (i).
(ii) When Bijection (
34) and (
35) holds, from Identity (
38) we infer that
After passage (
59) to the limit as
, this follows the equivalence asserted in (
52) between
and the SD
from (
24). □
4. Application to Brinkman Flow
Let domain
in Problem (
1) have Lipschitz continuous boundary
obeying the unit normal vector
outward to
and consisting of two nonempty, disjoint sets
and
. For stationary force
, we consider the Brinkman problem [
24]: find a flow velocity
and a pressure
satisfying
under mixed Dirichlet–Neumann boundary conditions (
62), where parameter
denotes fluid viscosity, and
is the drag coefficient.
Incompressibility Condition (
61) determines the operator
where
, and Sobolev space
accounts for the Dirichlet boundary condition in (
62):
The primal cone (
2) is presented here by the equality-type constraint:
Corresponding duality pairings are
and the latter one builds the dual cone
The underlying objective function in (
5) reads:
The quadratic function in (
69) satisfies Assumptions (F1), (F2), and (F3’) of Proposition 1; hence, CO Problem (
5) obeys unique solution
. The Lagrangian function in (
13) takes the form:
If
, then LBB condition (
22) holds, (Reference [
3], Theorem 7.2), namely:
This means that the divergence operator in (
63) is surjective; thus, Assumptions (G1), (G2) and Assertions (i)–(iii) of Proposition 2 hold true. In the case of equality constraint, the positive cone turns into the whole space
according to (
19). OS (
20) and (
21) implies the solution pair
satisfying the following variational equations:
Note that (
73) is equivalent to (
61) by the fundamental lemma of the calculus of variations, and any smooth solution of (
72) after integration by parts leads to Brinkman Equation (
60) and the Neumann condition in (
62).
Next we apply CT (
27). It can be directly checked that bijective Properties (
34) and (
35), and hence Assumptions (D1) and (D2), hold true. Possible counterexamples are accounted below.
Remark 2. Bijective property (39) in (D2’) fails for the primal cone defined in (65) because condition is not equivalent to for .
Remark 3. If , then the operator in (63) is not surjective since the divergence operator maps , whereand its topologically dual space excludes constants. In this case, Bijection (35) in (D2) fails, because is not equivalent to for .
Based on CT
with Jacobian matrix
and its determinant
, from (
70) we get the transformed perturbed objective and Lagrangian according to Relations (
36)–(
38):
By checking Hypotheses (H1)–(H4), we prove the result on shape differentiability in the following:
Theorem 2. In the Brinkman problem, there exists the shape derivative expressed by the partial derivative:where is the unique SP solving OS (72) and (73), and kinematic velocity comes from (
31).
Proof. (H1) For
with arbitrarily fixed
, the set of SP (
44) contains exactly one element:
by transforming solution
to the perturbed at
system (
72) and (
73). This satisfies the transformed perturbed OS for all
:
(H2) For the velocity
from (
31), we expand as
at
(see Reference [
37] Chapter 5):
uniformly over
t and
. Plugging (
79) into (
74) we straightforwardly derived the partial derivative
and extended it to
in (
45) and (
46) for
by setting the time-shifted velocity
instead of
. It has the following form:
(H3) & (H4) Testing (
77) with
, since
due to (
78), we have
Using the asymptotic expansions (
79) and applying Young’s inequality with a suitable weight to the right-hand side of (
81), this follows the uniform in
estimate:
We divide (
77) with the norm of
and apply the Cauchy–Schwarz inequality such that
Taking the supremum in (
83) over admissible
w, in the virtue of (
82) and LBB condition (
71), we get:
By the reflexivity of the underlying function spaces, from (
82) and (
84) it follows that there exists an accumulation point
and subsequence
, such that
From asymptotic Relations (
79) and (
85), we get the limit of the system of linear equations (
77) and (
78) in the form of OS (
72) and (
73). Then, due to the uniqueness of its solution, the accumulation point implies
Using Representations (
70), (
72), (
73), and algebra formula
we rearrange the following terms:
In the virtue of asymptotic Formula (
79), from (
74) and (
43), with test function
, it follows
with some constant
, and
according to (
78), hence (
87) yields that
Subtracting (
72) from (
77), due to (
79) and (
88) we have the asymptotic equality
Therefore, using (
89) together with (
88), the convergence in (
85) is updated to a strong one:
implying (
47) and (
49) in Hypotheses (H3) and (H4).
Finally, due to the continuity of mapping
in (
80) and using the strong Convergence (
90), we have:
that proves (
48). Applying Theorem 1, from Formula (
80) at
with
and using
it follows Formula (
75) of the shape derivative and finishes the proof. □
We remark a singularity of the mixed Dirichlet–Neumann boundary value Problem (
72) and (
73) at intersection
, such that its solution
is generally not in
. Therefore:
Corollary 1. Let the singular set be localized in a domain such that the solution of (72) and (73) , force const and velocity const in . In this case, using integration of (75) by parts, the following Hadamard representation over the boundary of with the outward normal holds true: Proof. In domain
D with regular boundary
and unit normal vector
n outward to
D, for smooth functions
w and
p, we used the following formulas of integration by parts written component-wisely with the convention of summation over repeated indices
:
The summation of four equations in (
93) (where the first equation is multiplied with
and the second one with
) provides the identity
The integral in (
75) over
vanishes when
and
here. For the complement integral over
, we applied Formula (
94) and Equations (
60), (
61) to derive (
92). The proof is completed. □
Remark 4. If the parameter , then (60) turns into the Stokes flow equation. In this case, the shape differentiability result of Theorem 2 holds true for the Stokes problem and was proved by direct method in the earlier work [
9].
Remark 5. If parameter , then (60) turns into the equation describing Darcy flow [16]. In this case, function space , where It fails bijection property (34) in (D1), because does not imply and vice versa (see also Remark 2).