A Determining Form for the 2D Rayleigh-B\'enard Problem
Yu Cao, Michael S. Jolly, Edriss S. Titi

TL;DR
This paper develops a new mathematical framework called a determining form for analyzing the long-term behavior of the 2D Rayleigh-Bénard convection system, focusing on velocity trajectories to infer temperature dynamics.
Contribution
It introduces a novel ODE-based determining form that captures the global attractor of the 2D RB system using velocity trajectories alone.
Findings
Constructed a determining form for the 2D RB system.
Identified long-time dynamics via zeros of a scalar equation.
Applicable to systems with no-slip and stress-free boundaries.
Abstract
We construct a determining form for the 2D Rayleigh-B\'enard (RB) system in a strip with solid horizontal boundaries, in the cases of no-slip and stress-free boundary conditions. The determining form is an ODE in a Banach space of trajectories whose steady states comprise the long-time dynamics of the RB system. In fact, solutions on the global attractor of the RB system can be further identified through the zeros of a scalar equation to which the ODE reduces for each initial trajectory. The twist in this work is that the trajectories are for the velocity field only, which in turn determines the corresponding trajectories of the temperature.
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Taxonomy
TopicsStability and Controllability of Differential Equations · Navier-Stokes equation solutions · Advanced Mathematical Modeling in Engineering
A Determining Form for the 2D Rayleigh-Bénard Problem
Yu Cao1
,
Michael S. Jolly1,†
corresponding author
1Department of Mathematics
Indiana University
Bloomington, IN 47405
and
Edriss S. Titi2
2Department of Mathematics, Texas A&M University, 3368 TAMU, College Station, TX 77843-3368, USA. Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 76100, Israel. Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge CB3 0WA, UK.
[email protected] and [email protected]
(Date: at \currenttime)
Abstract.
We construct a determining form for the 2D Rayleigh-Bénard (RB) system in a strip with solid horizontal boundaries, in the cases of no-slip and stress-free boundary conditions. The determining form is an ODE in a Banach space of trajectories whose steady states comprise the long-time dynamics of the RB system. In fact, solutions on the global attractor of the RB system can be further identified through the zeros of a scalar equation to which the ODE reduces for each initial trajectory. The twist in this work is that the trajectories are for the velocity field only, which in turn determines the corresponding trajectories of the temperature.
Key words and phrases:
Rayleigh-Bénard convection, determining form, inertial manifold, global attractor
2010 Mathematics Subject Classification:
35Q35, 37L25, 76E60
This paper is dedicated to Ciprian Foias, a great mathematician, generous collaborator and friend,
on the occasion of his 85th birthday.
Contents
1. Introduction
It was shown in [19] that the long-time dynamics of the 2D Rayleigh-Bénard (RB) problem is entirely contained in the global attractor , which is a compact finite-dimensional subset of an infinite-dimensional Hilbert space . An inertial manifold, if it exists, is a finite-dimensional invariant smooth manifold that contains the global attractor and attracts all the orbits at an exponential rate (see, e.g., [21]). The system obtained by restriction to an inertial manifold is called an inertial form. It is a finite-dimensional system of ODEs which reproduces the dynamics of the original system. While the existence of the inertial manifolds has been established for a considerable number of dissipative systems (see, e.g., [27, 11, 26, 20] and references therein), it has been an open problem since the 1980s for the 2D Navier-Stokes equations (NSE), and hence for the 2D RB problem as well.
The 2D NSE and 2D RB problem do enjoy a finite number of determining parameters (see, e.g., [14, 25, 18, 9]). For instance, in the case of determining Fourier modes, if two complete trajectories in the global attractor coincide upon projection on a sufficiently large number of low Fourier modes, then they must be the same (see, e.g., [14, 25, 18, 9]). Thus it is natural to expect the existence of a lifting map . This property inspired the notion of a determining form, introduced in [15]. A determining form is an ODE in an infinite-dimensional Banach space of trajectories that captures the dynamics of the original system in a certain way. Rather than being a dimension reduction, as is the case for the inertial form, the determining form trades the infinite-dimensionality of physical space for that of time; the elements in its phase space are trajectories. It is an ODE in that it is represented by a globally Lipschitz vector field.
There are currently two approaches to constructing a determining form. The key step in either case is to extend the domain of the lifting map to a Banach space of projected trajectories. The determining form constructed here is based on the nudging approach to continuous data assimilation (see [2, 1]). It is given by
[TABLE]
where is some steady state of the original system, and is a sup norm on a Banach space of trajectories that evolve in the finite-dimensional range of some interpolant operator . Note that the evolutionary variable is now , not time. The trajectories in the global attractor of the original system are precisely the steady states (-independent solutions) of (1.1). To show that (1.1) is an ODE in the true sense boils down to proving that the mapping is globally Lipschitz on a ball in , big enough to accomodate . In addition to the 2D NSE (see [16]), this recipe has been carried out for the damped-driven nonlinear Schrödinger, damped-driven Korteweg–de Vries, and surface quasigeostrophic equations (see [23, 24, 3, 22, 4]), each with particular treatment and subtle twists in the analysis. This general procedure is developed in detail in Section 3.
In this paper we construct a determining form for the Rayleigh-Bénard problem. The novelty here is that the phase space corresponds to projections of the velocity field alone. Still, both velocity and temperature of all trajectories in the global attractor of the 2D RB problem are identified through steady states of the determining form. This is the first such construction where the trajectories are in a subset of the system state variables. This was suggested in the context of data assimilation by [12, 13] where it was proved that coarse velocity data alone is sufficient to synchronize with a reference solution of the RB problem. The key difficulty in establishing the crucial Lipschitz property of the lifting map is in getting a priori estimates that are independent of the nudging parameter. Doing this with nudging only in the velocity component adds an extra challenge.
We treat both no-slip and stress-free boundary conditions for the velocity field. Different analysis is needed for each case. In the stress-free case, the problem is equivalent to a periodic boundary condition problem in an extended domain with particular symmetries, which allows us to eliminate one of the nonlinear terms in the estimates. On the other hand, we do not in this case have the Poincaré inequality for (the first component of “velocity”) , which is worked around by combining estimates of several norms. We observe that similar techniques are used in [7] to obtain sharper bounds on the size of the global attractor in the case of stress-free boundary conditions than previously known.
2. Notation and Preliminaries
Under a similar change of variables as in [19], the 2D RB problem in an infinite strip with solid boundaries at and , can be written as
[TABLE]
where denotes the gravitational acceleration. Unlike [19], we retain the dimension of the velocity while the temperature fluctuation is dimensionless. In this paper, we consider the following two sets of boundary conditions of physical interest.
No-slip:
[TABLE]
Stress-free:
[TABLE]
2.1. Function spaces
We will use the same notation indiscriminately for both scalar and vector Lebesgue and Sobolev spaces, which should not be a source of confusion.
We denote
[TABLE]
for a domain that will be specified for each case of boundary conditions.
2.1.1. No-slip BCs
We define function spaces corresponding to the no-slip boundary conditions as in [12]. Let and be the set of functions, which are trigonometric polynomials in with period , and compactly supported in the -direction.
Denote the space of smooth vector-valued functions which incorporates the divergence-free condition by
[TABLE]
and the closures of and in by and , respectively, which are endowed with the usual inner products and associated norms
[TABLE]
The closures of and in will be denoted by and , respectively, endowed with the inner products and associated norms
[TABLE]
2.1.2. Stress-free BCs
Following [13], we consider the equivalent formulation of the 2D RB problem (2.1) subject to the fully periodic boundary conditions on the extended domain with the following special spatial symmetries: for ,
[TABLE]
Observe that for with , and for smooth enough functions one has
[TABLE]
that is, one recovers the original corresponding physical boundary conditions when restricted to the physical domain .
We define function spaces corresponding to the “stress-free” boundary conditions, i.e., the periodic BCs with the above symmetries, as in [13], where
is the set of trigonometric polynomials in , with period in the -variable, that are even, with period , in the -variable,
and
is the set of trigonometric polynomials in , with period in the -variable, that are odd, with period , in the -variable.
The symmetries of the two velocity components lead us to take in the stress-free case
[TABLE]
The space will again be the closure of in , but shall be that of in , with inner products and norms as in (2.3).
Similarly, we denote the closures of and in by and , respectively, but with the inner products
[TABLE]
and associated norms
[TABLE]
2.2. The linear operators
2.2.1. No-slip BCs
Let () be the unbounded linear operators defined by
[TABLE]
where and .
For each , the operator is self-adjoint and is a compact, positive-definite, self-adjoint linear operator in . There exists a complete orthonormal set of eigenfunctions in such that where
[TABLE]
Observe that we have the following Poincaré inequalities:
[TABLE]
where .
Remark 2.1*.*
We observe that in this case is equivalent to for every .
2.2.2. Stress-free BCs
Let () be the unbounded linear operators defined by , where and .
Remark 2.2*.*
The operator is a nonnegative operator and possesses a sequence of eigenvalues with
[TABLE]
associated with an orthonormal basis of . The operator is a positive self-adjoint operator and possesses a sequence of eigenvalues with
[TABLE]
associated with an orthonormal basis of . Observe that we have the Poincaré inequality for temperature:
[TABLE]
where .
Remark 2.3*.*
In the stress-free case, we do not have the Poincaré inequality for functions in , but we have
[TABLE]
by the definition of the norm .
Remark 2.4*.*
By the elliptic regularity of the operator (see [13, Remark 2.3]), we have in the stress-free case the equivalency
[TABLE]
2.3. The bilinear maps
Denote the dual space of by (). Define the bilinear map (and the trilinear map ) by the continuous extension of
[TABLE]
2.3.1. No-slip BCs
Define the scalar analogue (and the trilinear map ) by the continuous extension of
[TABLE]
The bilinear maps (and the trilinear maps ), , have the orthogonality property:
[TABLE]
2.3.2. Stress-free BCs
Define the scalar analogue (and the trilinear map ) by the continuous extension of
[TABLE]
The bilinear maps (and the trilinear maps ), , have the same orthogonality property (2.10) as in the no-slip case. Furthermore, we have for each ,
[TABLE]
which is not true in general in the no-slip case.
2.4. Functional setting and bounds for the global attractor
Following [19], we have the functional form of the RB problem (2.1):
[TABLE]
where denotes the Helmholtz-Leray projector from onto .
2.4.1. No-slip BCs
It is shown in [19] that the RB system (2.1) with no-slip boundary conditions has a global attractor
[TABLE]
Alternatively, is the maximal bounded invariant subset of under the dynamics of (2.12). Moreover, there exists some (dimensional) constants , , such that
[TABLE]
Henceforth, lowercase letters will denote universal dimensionless positive constants; uppercase letters will denote positive dimensional constants that depend on the physical parameters.
2.4.2. Stress-free BCs
The case of stress-free boundary conditions is studied further in [7]. With the stress-free boundary conditions, the RB system has steady states with arbitrarily large -norms:
[TABLE]
which means that the system is not dissipative. However, since (see also [7])
[TABLE]
we may assume in the stress-free case that the velocity field has a fixed average:
[TABLE]
where is fixed. Observe that the spatial average is conserved and the system is dissipative within each invariant affine space of fixed average . It is shown in [7] that the RB system has a global attractor , in each affine subspace of where the spatial average (2.15) of velocity is fixed. Moreover, there exist some (dimensional) constants , , such that (2.14) holds. In this case of stress-free boundary conditions, the dependence of , , is shown in [7] to be algebraic in the physical parameters , , and . To be specific, we will take .
3. Determining Form and Main Results
In order to define the determining form, we need the notion of interpolant operators.
3.1. Interpolant operators
We recall a general class of interpolant operators introduced in [1, 2] for dealing with various determining parameters such as modes, nodes, volume elements, etc. These operators are finite-rank operators (bounded, linear and with finite-dimensional range) and are required to satisfy an approximation of identity type condition.
A finite-rank operator is a Type I interpolant operator if it satisfies
[TABLE]
A finite-rank operator is a Type II interpolant operator if it satisfies
[TABLE]
In this paper, we construct a determining form for the RB system using Type II interpolants. The same can be done under slightly weaker assumptions on for Type I interpolants (see [6]).
Remark 3.1*.*
The orthogonal projection onto low Fourier modes, those with wave numbers such that , is one example of a Type I interpolant. Another is finite volume elements. In addition, an example of a Type II interpolant is an interpolant operator that is based on nodal values satisfying (3.3) and (3.4). See, e.g., [1] for more details.
Remark 3.2*.*
In the stress-free case, by definition, we have , for . Moreover, by (2.9) in Remark 2.4, replacing the absolute constants when necessary, we can replace by in (3.3) and (3.4), for .
We need to modify the interpolant operator so that its has a range of functions that are divergence-free and satisfy the boundary conditions. Motivated by [8, Proposition 2.1], we define the modified Type II interpolant operator as
[TABLE]
where we recall that are the eigenfunctions of the operator in Section 2.2. The phase space of our determining form is then defined as
[TABLE]
Remark 3.3*.*
Based on the proof in [8, Proposition 2.1], we observe that satisfies conditions (3.3) and (3.4) with modified constants , . Furthermore, in the no-slip case, by the Poincaré inequality, modifying the constants when necessary, we have
[TABLE]
We also have (3.7) for the stress-free case by Remark 3.2.
3.2. Auxiliary system and determining map
Consider the following auxiliary system:
[TABLE]
where with and is a (modified) Type II interpolant operator. Note that the nudging term in (3.8) appears only in the momentum equation.
Proposition 3.1** (Solutions to the auxiliary system).**
Let be a positive real number. Let be sufficiently large and sufficiently small (see conditions in Section 4). Then for each , system (3.8) has a unique bounded solution that exists for all such that
[TABLE]
The proof of Proposition 3.1 is given in Section 4. Note that this proposition provides a map, called the determining map,
[TABLE]
The projection of to the first component induces a map with
[TABLE]
The induced map will be used in the definition of the determining form. We denote and
[TABLE]
Proposition 3.2**.**
The maps and are Lipschitz.
The proof of Proposition 3.2 is given in Section 5.
Remark 3.4*.*
It is proved in [4] that the determining map is in fact Frechét differentiable in the case of the 2D NSE.
3.3. Determining form and long-time dynamics of the RB system
Let be a steady state of the RB problem (2.12); for instance, we may take . Under the assumptions of Proposition 3.1, we will prove (in Theorem 3.5 (i)) that the differential equation
[TABLE]
is an ODE in the sense that the vector field is globally Lipschitz in the ball , where is to be determined. The ODE (3.10) is called a determining form of the RB problem.
The connection between the long-time dynamics, i.e. the global attractor, of the RB problem (2.12) and the determining form will be made through the following result:
Proposition 3.3**.**
Let , , be a solution of the RB problem (2.12) that lies in the global attractor . Suppose satisfy the assumptions in Proposition 3.1. Suppose is a solution to the system
[TABLE]
and satifies
[TABLE]
Then for all .
The proof of Proposition 3.3 is given in Section 6.
3.4. Main theorem
In order to state the main theorem, we first prove the following result:
Proposition 3.4**.**
Let be a (modified) Type II interpolant operator as in (3.5), with . For every , we have
[TABLE]
Proof.
Let . By (3.4), Remark 3.3, and the bound (2.14), we have
[TABLE]
which completes the proof by (3.6), the definition of the norm . ∎
The main results regarding the determining form are summarized in the following theorem:
Theorem 3.5**.**
Suppose the assumptions in Proposition 3.1 hold for , where satisfies (3.12). Suppose also that as in Proposition 3.4. Then the following hold.
- (i)
The vector field in the determining form (3.10) is Lipschitz. Hence the determining form (3.10) is an ODE in which has short-time existence and uniqueness of solutions for every initial data . 2. (ii)
The ball is forward invariant in the evolution variable under the dynamics of the determining form, which implies that (3.10) has a unique global solution for every initial data . 3. (iii)
Every solution of (3.10) with initial data converges to a steady state of (3.10) as . 4. (iv)
All the steady states of the determining form (3.10) that are contained in have the form for all , where is a trajectory in the global attractor of the RB problem (2.12) for a uniquely determined termperature .
We should emphasize that (3.10) governs an evolution of “trajectories” that are with range in a finite-dimensional space which correspond to velocity only. Yet it determines full trajectories of both the velocity and temperature on the global attractor of the RB system through the determining map .
Remark 3.5*.*
It is easy to see, as in [17], that the solution to (3.10) is always a convex combination of the initial condition and the chosen steady state:
[TABLE]
where
[TABLE]
satisfies a scalar ODE, which for the RB problem written in the form (2.12) with , amounts to
[TABLE]
The dynamics of (3.15) are completely understood (see [17]). As , along the straight line through and [math] in , either , or , where is the first trajectory in , with between and [math]. Thus the solutions in the global attractor can be identified as the zeros of the scalar function on the right-hand side of equation (3.15).
Proof of Theorem 3.5.
Part (i). Define with . Let . By the triangle inequality and the definition of the vector field ,
[TABLE]
Hence, to show that is Lipschitz (in the ball ), it suffices to show that the map is Lipschitz. Note that
[TABLE]
It suffices to show that
[TABLE]
Observe the following diagram:
[TABLE]
To prove (3.16), it suffices to show that
[TABLE]
where with .
Proposition 3.2 implies that is Lipschitz and hence we have (3.17). Inequality (3.18) follows from Remark 3.3 for the linear operator and the definitions of the norms and . The proof of (i) is done.
By Proposition 3.4 and the triangle inequality111 Note that ,
[TABLE]
which implies short-time existence of a solution of the determining form (3.10). Thus, (ii) follows from the observation that
[TABLE]
where is as in (3.14). Alternatively, (ii) follows from the dissipativity property of (3.10): for every fixed ,
[TABLE]
This property implies that the ball is forward invariant for all , which proves both (ii) and (iii).
To prove (iv) we observe that the steady states of equation (3.10) in the ball are either or such that . In the first case since is a steady state of the RB system (2.12). In the second case we have for all . Let . It then follows from (3.8) that is a bounded solution (thus a trajectory in the global attractor by (2.13)) to the RB system (2.12).
Conversely, since , it follows from Proposition 3.4 that
[TABLE]
Thus, for every trajectory it follows from the auxiliary system (3.8) and Proposition 3.3 that for all . In particular, , which implies that is a steady state of equation (3.10) in . ∎
4. Proof of Proposition 3.1
Let and assume that . For the case of no-slip boundary conditions, we assume that the following hold:
[TABLE]
[TABLE]
[TABLE]
[TABLE]
where the constants are defined in (4.16), (4.23), (4.21) and (5.14); they are all independent of and .
For the case of stress-free boundary conditions, we assume that the following hold:
[TABLE]
[TABLE]
where the constants , being independent of and , are defined in (4.40), (4.46) and (5.41).
The uniqueness of bounded solutions follows from Proposition 3.2. In this section, we prove the existence of strong solutions.
Remark 4.1*.*
Assumptions (4.4) and (4.7) are not needed for the proof of existence; they are used to prove the uniqueness of bounded solution.
Step 1. Let be a fixed positive integer. For , where is fixed in (3.5), we consider a Galerkin approximation for system (3.8):
[TABLE]
with initial data
[TABLE]
where is the orthogonal projection onto . This is a finite system of ODEs with a quadratic polynomial nonlinearity. Hence, there exists , so that there exists a solution to the initial value problem on the interval .
Thanks to the initial conditions (4.11), following the approach used to prove the existence and uniqueness of strong solutions for the Navier-Stokes equations and the RB system (see, e.g., [10, 27]), one can show by energy estimates that there exists , independent of , such that solutions of (4.10) exist on and satisfy uniform bounds, in the relevant strong norms, which are independent of . Therefore, by the Aubin-Lions compactness theorem, there exists a subsequence which converges to a unique strong solution to system (3.8) on a common interval with initial data and . Let be the maximum forward interval of existence for . Note that and that from the above mentioned energy type estimates we have
[TABLE]
Step 2. Assume that . In Section 4.1 and Section 4.2, for the no-slip and stress-free cases respectively, we show on the maximum interval of existence for uniform (in time ) bounds on the following quantities (omitting the superscript for simplicity)
[TABLE]
where .
Remark 4.2*.*
All the bounds for (4.12) will be independent of and . On the other hand, bounds for (4.13) in this step may depend on ; we will however, improve in the next step the bounds so that they will be independent of and .
For the no-slip case, the bounds (4.16), (4.24), (4.28), (4.35) and (4.37) in Section 4.1 imply that the solution cannot blow up in the space
[TABLE]
and thus we may extend it beyond , which contradicts the maximality of . Therefore, we must have .
The same argument works for the stress-free case by considering the bounds (4.54), (4.56), (4.58), (4.64) and (4.66) in Section 4.2.
Step 3. For , we show uniform bounds on the interval , for all the quantities in (4.12) and (4.13). These bounds will all be independent of . Note that we need the extra time unit in due to the use of Lemma 4.1.
By Remark 4.2, the uniform bounds for (4.12) in Step 2, i.e.,
- (i)
no-slip: (4.16), (4.24), (4.28); 2. (ii)
stress-free: (4.54), (4.56), (4.58),
are all valid on the interval and particularly on ; they are independent of .
For the no-slip case, in subsection 4.1.4, letting and , by (4.34), we have a uniform bound on the interval for , where in (4.34) is now independent of . It follows that the uniform bound (4.36) is also valid for .
The similar argument works for the stress-free case by considering (4.63) and (4.65) in subsection 4.2.3.
Step 4. For each positive integer , consider a (sub)sequence of solutions . By Step 3, this sequence satisfies all the uniform bounds on (4.12) and (4.13) (with ) on the interval , and in particular on . Thus,
[TABLE]
where the bounds in (4.14) may depend on , but are independent of . In particular, (4.14) implies that
[TABLE]
are bounded uniformly in , with bounds that may depend on .
Applying the Aubin-Lions compactness theorem using (4.14), (4.15), and the uniform, with respect to and , bounds on the quantities
[TABLE]
we obtain a subsequence that converges to a solution of system (3.8) on the closed interval .
We then apply the Cantor diagonal process to nested subsequences, relabeling when necessary, to get a subsequence that converges to a solution on for all . Note that is defined on . Hence, satisfies all the uniform bounds on (4.12) and (4.13) for and thus (3.9). The proof of Proposition 3.1 is complete.
4.1. No-slip BCs (bounds on with )
For simplicity, we will omit the superscript in in this section and the next (stress-free BCs). All estimates are rigorous on the maximal interval .
4.1.1. Bound for
By a similar argument as in [19, Lemma 2.1], we can show, by employing the maximum principle for the heat equation, that (see the Appendix)
[TABLE]
4.1.2. Bounds for and
Taking the inner product of the auxiliary equation (3.8a) with and respectively, we have
[TABLE]
where we use . By the Cauchy-Schwarz, Young and Poincaré inequalities, we have
[TABLE]
and
[TABLE]
For the nonlinear term, we have
[TABLE]
Combining (4.16)–(4.21), we get
[TABLE]
Hence,
[TABLE]
We now show that
[TABLE]
By continuity and the initial condition , there exists such that
[TABLE]
It then follows from (4.24) and (4.3) that
[TABLE]
Let
[TABLE]
Notice that . We claim that . If not, then , and
[TABLE]
Dropping the term , we have by the Gronwall inequality that
[TABLE]
which contradicts (4.25).
4.1.3. Bound for
Henceforth, we let .
Inequality (4.26) implies that
[TABLE]
For any , integrating on both sides from to , observing that and using the bound (4.24), we have
[TABLE]
Since , it follows that
[TABLE]
4.1.4. Bound for
Taking the inner product of the equation (3.8b) with , and applying the Cauchy-Schwarz and Young inequalities, we have
[TABLE]
Let and . For any , integrating (4.29) from to , we have
[TABLE]
By taking the inner product of the equation (3.8b) with , we have
[TABLE]
Integrating by parts, we have (as in [12, (3.22)])
[TABLE]
Consequently,
[TABLE]
We now recall the following uniform Gronwall inequality from [19].
Lemma 4.1** (Uniform Gronwall).**
Let , , be three positive locally integrable functions on which satisfy for all with ,
[TABLE]
where are positive constants. Then
[TABLE]
Applying Lemma 4.1 to (4.33) with
[TABLE]
we get
[TABLE]
and thus
[TABLE]
4.1.5. Bound for
For any , inserting the bound (4.34) in (4.33) and then integrating from to on both sides, we have
[TABLE]
Since , it follows that
[TABLE]
4.2. Stress-free BCs (bounds on with )
The argument using the maximum principle for showing the bound for in Section 4.1 also works here. Taking advantage of the orthogonality property that in the case of stress-free BCs, we combine the estimates of and together.
4.2.1. Bounds for and
Taking the inner products of the auxiliary system (3.8) with , and repectively, we have
[TABLE]
where we used , and . Note that equations (4.38)–(4.40) have the same dimension and no nonlinear term appears in the equations above.
Now we estimate the right-hand sides of the three equations above as follows:
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
where
[TABLE]
Combining (4.38)–(4.45), we have
[TABLE]
and thus, after dropping nonnegative terms on the left,
[TABLE]
By (4.5), we have
[TABLE]
which implies by the Gronwall inequality that
[TABLE]
and in particular
[TABLE]
We use (4.49) to improve the bound on . Instead of (4.43) and (4.44), we now estimate as follows
[TABLE]
[TABLE]
Combining (4.38), (4.39), (4.41), (4.42), (4.50) and (4.51), we have
[TABLE]
which implies that
[TABLE]
Therefore, by (4.6),
[TABLE]
Dropping the term in (4.53) and using the Gronwall inequality, we conclude that
[TABLE]
where
[TABLE]
Note that the constant is independent of .
[TABLE]
and thus by (4.54) and the Poincaré inequality,
[TABLE]
Consequently, by the Gronwall inequality again, we have
[TABLE]
where is also independent of .
4.2.2. Bound for
For any , dropping the term in (4.53) and integrating, then using the bound (4.54), we have
[TABLE]
Since , it follows that
[TABLE]
4.2.3. Bound for
Proceeding as in the no-slip case (Section 4.1.4) but using the bounds (4.54) and (4.56) for and in (4.29) instead, we get for any , and ,
[TABLE]
Similarly as in (4.31), we have
[TABLE]
For the nonlinear term, we have
[TABLE]
[TABLE]
Proceeding as in Section 4.1.4, using Lemma 4.1 with
[TABLE]
we get
[TABLE]
and as in Section (4.1),
[TABLE]
4.2.4. Bound for
Similarly as in Section 4.1.5, combining (4.62) and (4.63), we get for any ,
[TABLE]
Also,
[TABLE]
5. Lipchitz Property of the map
We assume in this section that , . Let , and where . We establish in this section the Lipchitz property of the map for each set of boundary conditions.
By the auxiliary system (3.8), we have
[TABLE]
5.1. No-slip BCs
5.1.1. Bound for and by
Taking the inner product of (5.1)–(5.2) with and respectively, we have
[TABLE]
Proceeding as for (4.20), we find
[TABLE]
By the Cauchy-Schwarz, Young and Poincaré inequalities, we have
[TABLE]
[TABLE]
For the two nonlinear terms involving , we have (see [28])
[TABLE]
and by the Brézis-Gallouet inequality (see [5, 28])
[TABLE]
For the nonlinear term involving , we have
[TABLE]
Combining the estimates above, we have for ,
[TABLE]
But the second line of (5.11) can be estimated by
[TABLE]
where we used the elementary relation (see [16, p.371])
[TABLE]
with
[TABLE]
Hence,
[TABLE]
Combining (5.4), (5.7) and (5.10), we have
[TABLE]
Combining the differential inequalities (5.15) and (5.16) for and , we get
[TABLE]
Consequently, by (4.4) and the Poincaré inequality,
[TABLE]
Dropping the terms in the second inequality, using the Gronwall inequality and the fact that , are bounded, we obtain
[TABLE]
5.1.2. Bound for and by
The inequality (5.17) implies that
[TABLE]
Integrating from to , , and using the bound (5.18), we have
[TABLE]
5.1.3. Bounds for and by
Taking the inner product of (5.2) with , we have
[TABLE]
Integrating by parts, we have
[TABLE]
Similarly,
[TABLE]
By Cauchy-Schwarz and Young inequalities,
[TABLE]
Combining (5.20)–(5.23), we obtain
[TABLE]
Let the function and in Lemma 4.1 be
[TABLE]
By the bounds (4.24), (4.34) and (4.36), we have
[TABLE]
By (5.18) and the Poincaré inequality, we have
[TABLE]
By (5.19),
[TABLE]
Dropping the term in (5.24), applying Lemma 4.1 with (5.26), (5.27) and (5.28) we have
[TABLE]
Now, by integrating (5.24) from to and using (5.26) and (5.27), we get
[TABLE]
5.2. Stress-free BCs
5.2.1. Bounds for , and by
Taking the inner product of (5.1)–(5.2) with and respectively and taking the inner product of (5.1) with we have
[TABLE]
where, as in (4.38), (4.40), , .
For the linear terms, as in (4.41)–(4.45) we have
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
For the nonlinear terms, we have
[TABLE]
[TABLE]
[TABLE]
where
[TABLE]
[TABLE]
where
[TABLE]
Combining (5.29)–(5.40), we have
[TABLE]
It follows that
[TABLE]
where
[TABLE]
By (4.7), we have
[TABLE]
Dropping on the left and using the Gronwall inequality, we conclude that
[TABLE]
and in particular,
[TABLE]
5.2.2. Bound for and by
Using the inequality (5.42) and proceeding as in the no-slip case, we get
[TABLE]
5.2.3. Bound for and by
Proceeding as in the no-slip case, we get (5.24):
[TABLE]
Using the bounds (4.54), (4.63) and (4.65), we have
[TABLE]
[TABLE]
Applying Lemma 4.1 with (5.46), (5.47) and (5.45) yields
[TABLE]
By integrating (5.24) from to and using (5.46) and (5.47), we get
[TABLE]
6. Proof of Proposition 3.3
Let and . Taking the difference of the RB system (2.12) and the auxiliary equations (3.11), we have
[TABLE]
Applying the (essentially) same calculation in Section 5, we conclude that
[TABLE]
which completes the proof.
7. Appendix
Let where . Observe that for a given smooth enough with , satisfies, on ,
[TABLE]
with boundary conditions
[TABLE]
Observe that and thus
[TABLE]
where we denote for any real number , and
Note that satisfies (7.1) a.e. and also the boundary conditions. The chain rule and integration by parts yield
[TABLE]
where the boundary term vanishes due to the boundary conditions. Hence, multiplying (7.1) by and integrating over , we obtain
[TABLE]
which implies that
[TABLE]
It follows that and thus .
We now show that . Observe that
[TABLE]
Proceeding similarly as above, we obtain,
[TABLE]
which implies that
[TABLE]
and thus .
We conclude that
[TABLE]
which implies that
[TABLE]
and thus
[TABLE]
8. Acknowledgments
The work of Y. Cao was supported in part by National Science Foundation grant DMS-1418911, that of M.S. Jolly by NSF grant DMS-1818754. The work of E.S. Titi was supported in part by the Einstein Visiting Fellow Program, and by the John Simon Guggenheim Memorial Foundation.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1[1] A. Azouani, E. Olson, and E. S. Titi. Continuous data assimilation using general interpolant observables. J. Nonlinear Sci. , 24(2):277–304, 2014.
- 2[2] A. Azouani and E. S. Titi. Feedback control of nonlinear dissipative systems by finite determining parameters—a reaction-diffusion paradigm. Evol. Equ. Control Theory , 3(4):579–594, 2014.
- 3[3] L. Bai and M. Yang. A determining form for a nonlocal system. Adv. Nonlinear Stud. , 17(4):705–713, 2017.
- 4[4] A. Biswas, C. Foias, C. F. Mondaini, and E. S. Titi. Downscaling data assimilation algorithm with applications to statistical solutions of the Navier–Stokes equations. Ann. Inst. H. Poincaré Anal. Non Linéaire , 36(2):295–326, 2019.
- 5[5] H. Brézis and T. Gallouet. Nonlinear Schrödinger evolution equations. Nonlinear Anal. , 4(4):677–681, 1980.
- 6[6] Y. Cao. Determining form and data assimilation algorithm for the 2D Rayleigh-Bénard problem . Ph D thesis, Indiana University, 2019.
- 7[7] Y. Cao, M. S. Jolly, E. S. Titi, and J. P. Whitehead. Algebraic bounds on the Rayleigh-Bénard attractor. ar Xiv:1905.01399 [math.AP], 2019.
- 8[8] E. Celik, E. Olson, and E. S. Titi. Spectral Filtering of Interpolant Observables for a Discrete-in-Time Downscaling Data Assimilation Algorithm. SIAM J. Appl. Dyn. Syst. , 18(2):1118–1142, 2019.
