Shallow water equations on a fast rotating surface
Bin Cheng, Steve Schochet

TL;DR
This paper analyzes the behavior of rotating shallow water equations on a surface of revolution, establishing uniform estimates and convergence results as the Rossby and Froude numbers approach zero, and characterizing the limiting zonal flows.
Contribution
It provides a rigorous mathematical analysis of the asymptotic behavior of solutions to the rotating shallow water equations with variable Coriolis parameter, including convergence to zonal flows.
Findings
Uniform estimates on solutions independent of small parameters
Strong convergence to a limit governed by a simplified equation
Time-averages approximate zonal flows and height fields
Abstract
We prove that for rotating shallow water equations on a surface of revolution with variable Coriolis parameter and vanishing Rossby and Froude numbers, the classical solution satisfies uniform estimates on a fixed time interval with no dependence on the small parameters. Upon a transformation using the solution operator associated with the large operator, the solution converges strongly to a limit for which the governing equation is given. We also characterize the kernel of the large operator and define a projection onto that kernel. With these tools, we are able to show that the time-averages of the solution are close to longitude-independent zonal flows and height field.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsNavier-Stokes equation solutions · Computational Fluid Dynamics and Aerodynamics · Methane Hydrates and Related Phenomena
Shallow water equations on a fast rotating surface
Bin Cheng
Department of Mathematics, University of Surrey, Guildford, GU2 7XH, United Kingdom
and
Steve Schochet
School of Mathematical Sciences, Tel-Aviv University, Tel Aviv 69978, Israel
(Date: 16 July 2019)
Abstract.
We prove that for rotating shallow water equations on a surface of revolution with variable Coriolis parameter and vanishing Rossby and Froude numbers, the classical solution satisfies uniform estimates on a fixed time interval with no dependence on the small parameters. Upon a transformation using the solution operator associated with the large operator, the solution converges strongly to a limit for which the governing equation is given. We also characterize the kernel of the large operator and define a projection onto that kernel. With these tools, we are able to show that the time-averages of the solution are close to longitude-independent zonal flows and height field.
Key words and phrases:
Rotating shallow water equations, PDEs on manifolds, PDEs on surfaces, singular limits, uniform estimates, commutator, variable Coriolis parameter, zonal flows, time-averages
1. Introduction
We investigate compressible fluid dynamics on a two-dimensional, smooth manifold which is a surface of revolution about the axis, generated by a curve connecting the north/south poles at . The fluid is subject to the Coriolis force and we use a notation to denote the clockwise rotation operator on any vector field (tangent bundle of ), namely is defined as the cross product of and the outward normal to the surface. A popular model from geophysics is the rotating shallow water (RSW) equations,
[TABLE]
where denotes the Froude number and the planetary Rossby number. The variable denotes perturbation of height against the background rescaled to 1, so that the total height is . The notation is understood simply as because is a scalar defined everywhere on the surface. The notation denotes the covariant derivative of along the vector field and can be understood111The intrinsic definition of covariant derivatives depend on the provision of connections or the full curvature tensor. It can also be described extrinsically, if the surface is embedded in a usual Euclidean space and we allow that Euclidean space to provide all information needed on the metric and curvature tensor. We use the latter approach here. as the result of projecting the Cartesian form onto . Finally, the scalar factor represents variation in the Coriolis parameter. For physicality, takes value 1 at the north pole and at the south pole.
This system is used as a standard model for testing numerical code on spherical domains [21].
We define the following notation for the large operator on the right side of (1),
[TABLE]
Without loss of generality, we also impose zero global mean condition on
[TABLE]
since for smooth solutions, the global mean of is time-invariant due to the conservation law (1b).
Surface is parametrised by longitude-colatitude pair as follows. The axis of revolution is the axis. The generating curve is given in Cartesian coordinates as for . Then, the surface of revolution is parametrized in Cartesian coordinates as
[TABLE]
where denotes the one-dimensional torus of length and function satisfies
[TABLE]
The exact spherical domain is represented by . There are further mild conditions on to ensure is a reasonable manifold to work with, and their details are given in (35), (36) and discussed therein. Also, the detailed geometry of is discussed in Section 4 in elementary terms. For now, we only need to define to be the diagonal entries of the metric tensor (40) namely
[TABLE]
Since we consider small values of and the limiting solutions and equations when they approach zero, it is crucial to prove that the time interval of validity of our results is uniformly bounded from below, independent of the smallness of the parameters. In this article, classical solutions with at least regularity are considered and we rely on energy method/estimate to achieve that regularity, and thus we will actually deal with norms for . The coefficients in the large operator varies with colatitude, which imposes a major challenge in such endeavor. The examples in §1.1 show that not every operator that is skew-self-adjoint in can guarantee the life span of classical solutions to be uniformly bounded from below.
We resolve this issue in the next theorem, which is the first in this kind of uniform estimates on an entire, non-flat manifold.
Theorem 1**.**
Let integer . Consider the rotating shallow water equations (1) on the spatial domain which is a surface of revolution parametrised by (3) satisfying smoothness conditions (35), (36). Suppose and the initial data is uniformly bounded in .
If the Coriolis parameter satisfies and, for some -independent constants ,
[TABLE]
then the solution satisfies an -independent bound over a time interval that is also -independent.
In this article, we adopt definition (14) for the norm. The subscript in notation is short for .
The proof combines Lemma 5 and standard energy estimates. When the domain is a perfect sphere, i.e. in (3) so that and , the standard geophysical model ([20]) ensures that which validates the assumption on in the theorem with and . When the domain is not a perfect sphere, the approximation argument made in [20] no longer has a clear generalisation. Of course, it is still reasonable to assume that if is an perturbation of a perfect sphere, then is an perturbation of , which validates the assumption in the above theorem.
Corollary 2**.**
Under the same assumptions as Theorem 1 with , the operator exponential is well-defined for any and is bounded mapping from to . Moreover, let
[TABLE]
and fix . Then, as , the transformed solution tends strongly in space with to that solves the following equation with the same initial data as
[TABLE]
where comes from the original PDE (1).
Proof.
By Lemma 5, and commute with being a first order self-adjoint differential operator. By classical spectral theory of linear operators on Hilbert space (e.g. [18]), the eigenfunctions of can form a complete basis of . Since is just a lower order perturbation, it also has eigensfunctions that form a complete basis of . The commutability of and together with the skew-self-adjointness of implies that share the same eigenfunctions with zero or pure imaginary eigenvalues.
Further, because and are the same space and because spectral theory guarantees the above eigenfunctions are smooth, they also form a complete basis of . Upon the correct normalisation in the respective norm, they form an orthonormal basis.
This means we can define operator exponential as bounded mapping on and any using the same eigenfunction expansion.
Recall only has zero or pure imaginary eigenvalues. Therefore,
[TABLE]
is an almost periodic function in the variable when is considered as a mapping from the pair to points in . The classical theory of almost periodic functions (e.g. [1]) guarantees that the integrand on the right hand side of (5) is almost periodic in the variable and therefore the limit therein exists. Then Schochet’s construction of proof in [16] for singular limits of PDEs on or spatial domain can be adopted here. In particular,
- (i)
the limit of exists strongly in () by compactness argument, up to choosing a subsequence (but see (iii) below); 2. (ii)
the time integral of the transformed original PDE
[TABLE]
can be approximated as
[TABLE]
and then, by the Krylov-Bogoliubov-Mitropolsky averaging method ([2]), satisfies the following limit strongly in , up to choosing a subsequence (but see (iii) below),
[TABLE] 3. (iii)
the strong limit of any subsequence of must satisfy (4), (5) which have a unique solution with given initial data and therefore strong limit exists uniquely.
∎
The -effect i.e. variation of Coriolis parameter is most prominent about the equator, and upon linearisation, it is approximately proportional to the signed distance of the point to the equator. The results in [7, 8, 10, 9] adopt such linearisation, set the domain in flat 2D space which extends to infinity along the north-south direction. The slow subspace of solutions contains zonal flows which coincide with Theorem 3 from below. Also note that in [8], [10], solution space is expanded using Hermite functions which are essentially Gaussian functions times polynomials.
A straightforward framework is introduced in [5] for proving that the time-average of the solution stays close to the null space of the large linear operator. An application of this framework can be found in [4] for two-dimensional incompressible Euler equations on a fast rotating sphere – whereas (1) is a special case of two-dimensional compressible Euler equations. Another application is in [6] in the domain of a thin spherical shell.
Our next theorem is a direct consequence of combining Lemma 6 with time-averaging of (1) and uniform estimates of Theorem 1.
Theorem 3**.**
Under the same assumptions as Theorem 1 with , for any fixed , there exists a function which is independent of , such that
[TABLE]
where constant and is uniquely determined by and .
Thus, not only can be approximated by a longitude-independent zonal flow, but also can be approximated by a longitude-independent height field.
This theoretical result is consistent with many numerical studies and observations. For a partial list of computational results, we mention [11] for 3D models, [19, 15] for 2D models, and references therein. Note that many of these computations attempt to simulate turbulent flows with sufficiently high resolutions. Zonal structures in these numerical results are either directly noticeable by naked eyes or after some time-averaging procedures. On the other hand, we have observed zonal flow patterns (e.g. bands and jets) on giant planets for hundreds of years, which has attracted considerable interests recently thanks to spacecraft missions and the launch of the Hubble Space Telescope (e.g. [12]). There are also observational data in the oceans on Earth showing persistent zonal flow patterns (e.g. [14]).
1.1. Loss of uniform estimates on higher norms
The large operator (2) is skew-self-adjoint in inner product, but not in terms of higher derivatives, due to the variable coefficient in . This can potentially prevent us from proving an uniform lower bound on the life span of classical solutions. We give two examples of first order hyperbolic PDEs with variable coefficients in the large operators: the essential difference being Example 1 has first order derivative in the operator and Example 2 had zero-th order in the operator which is the same as the rotation operator of (1).
Example 1. This is a two-dimensional shear flow in a two-dimensional torus, spatial domain. The unknown satisfies,
[TABLE]
with initial datum satisfying
[TABLE]
Clearly is conserved in time for classical solutions. As long as the solution stays smooth, we have remains constant along the characteristic curve . Along the same curve, the growth rates of and of are given on the right sides below,
[TABLE]
Thus, as increases from [math], is increasing and positive whereas is decreasing and negative. Therefore, the growth rate of is bounded from above by . Since starts with initial value , it will approach at a positive time no later than . The validity time interval of classical solutions therefore shrinks to [math] as .
Example 2. This mimics variable Coriolis force without pressure gradient. The unknowns , satisfy
[TABLE]
and one can assume both are independent of , although it is not essential. Clearly is conserved in time for classical solutions. As long as the solution stays smooth, we have remains constant along the characteristic curve . Along the same curve, the growth rates of are given on the right side below,
[TABLE]
But remains constant and remains [math]. Therefore, (i.e. divergence of ) tends to in time.
The rest of this article is organised as follows. In section 2 we find a corrector to the Laplacian so that commutes with the large operator . In section 3 we characterize the kernel of , some projection onto this kernel and show that the time averages of solutions stay close to zonal flows. In section 4 we discuss geometry of the surface in elementary terms.
2. Commutator
The dot product of vectors will be denoted by a dot, e.g. (c.f. §4 for detailed information). The inner product of vector fields will be denoted by namely
[TABLE]
Let sup-script ∗ denote the -adjoint of the operator it attaches to. In fact, all occurrences of (skew)-adjointness are with respect to the inner product, unless noted otherwise.
We note that the product rule for , already complicated in flat geometry, is even more so on a surface. Thus, we avoid using it altogether here.
2.1. Hodge decomposition
We aim to use differential geometric tools in an elementary fashion. More details are given in elementary terms in §4 and in particular, we know singularity caused by longitude-colatitude parametrisation is removable.
For a scalar field defined on , we define the gradient as the result of projecting the gradient of onto the tangent bundle of .
Since apparently and , we have
[TABLE]
Then, define div to be the skew-adjoint of and curl to be the skew-adjoint of ,
[TABLE]
both of which map vector fields to scalar fields.
The following properties then hold regardless of the geometry of ,
[TABLE]
Scalar Laplacian and vector Laplacian are both denoted by the same symbol which shall be understood as the Laplacian acting on whatever field that follows. Its action on scalar fields equals the first two expressions of (9) and its action on vector fields is the well-known surface Laplacian
[TABLE]
Then, it is straightfoward to show commutes with . Immediately,
[TABLE]
By the theory of Hodge decomposition, any smooth tangent vector field on a manifold in the same cohomology class as the 2-sphere is uniquely the sum of an irrotational and an incompressible vector fields. Using (pseudo-) differential operators, this is
[TABLE]
The inverse Laplacian is unique up to an additional constant whose exact value is immaterial in the above expressions and throughout this article. Because of this, from now on, we assume
[TABLE]
One can show ([17]) there exist constants that only depend on the domain and the value of integer so that . By integrating by parts and the fact that has zero global mean, we have and similarly on , we then redefine vector-field norms using scalar-field norms,
[TABLE]
This then induces the definition of inner product for vector field
[TABLE]
More definitions and relevant properties can be found in [4, Appendix A].
2.2. Finding corrector to commutator
In order to obtain uniform-in- estimate of the norm of the solution for a time period that is bounded from below uniformly in , we endeavor to find differential operators that commute with the large operator . Due to the useful knowledge on the scalar/vector Laplacian operators given in §2.1, we aim to find pseudo-differential operator of order less that two so that (or in approximate sense). Due to the fact that is skew-self-adjoint and Laplacian is self-adjoint, this is equivalent to and adding it back shows that it is equivalent to finding a self-adjoint operator .
In view of (12), this motivates us to analyze commutator . First, we define
[TABLE]
since from (8). Define the symmetric part of times 2,
[TABLE]
For any linear operator mapping 2-vector fields onto itself, for example , we let denote its conjugation via rotation ,
[TABLE]
Since , we have
[TABLE]
Lemma 4**.**
[TABLE]
Proof.
By the second line of Hodge decomposition (13), the definition of and the apparent fact that scalar multiplication commutes with ,
[TABLE]
Using Calculus rules on Riemannian manifold we show
[TABLE]
Combining this with (15a), we carry on from (16) and complete the proof. ∎
The possible candidate for the corrector is chosen as follows. For scalar functions , define zero-th order, self-adjoint operators,
[TABLE]
where the subscrpit “” indicates diagonal and “” anti-diagonal. They are not the most general choices, but will suffice our purpose of finding at least one commutator. Apparently
[TABLE]
Recall we look to satisfy requirement (exactly or approximately) where the nontrivial term of the right hand side is essentially , which according to Lemma 4, includes first order spatial derivatives of . Since all three commutators in (18) contains only zero-th order derivatives, the first derivatives in can only be balanced by
[TABLE]
where we used . Also the last [math] results from combining the product rule and . Thus, the velocity component is defined the same way as only with replaced by . But simply choosing as some constant times can not exactly balance the term as Lemma 4 reveals. Further computation is needed.
Let and with the later being the “test function”. Then,
[TABLE]
By similar calculation, replacing with and noting (15a), we have
[TABLE]
By \Big{\langle}\nabla\tilde{\sigma},\mathfrak{C}_{J}({{\mathcal{A}}^{s}})(\nabla\sigma)\Big{\rangle}=\Big{\langle}J\nabla\tilde{\sigma},{\mathcal{A}}(J\nabla\sigma)+{\mathcal{A}}^{*}(J\nabla\sigma)\Big{\rangle} and the definitional fact , we have \Big{\langle}\nabla\tilde{\sigma}_{i},\mathfrak{C}_{J}({{\mathcal{A}}^{s}})(\nabla\sigma_{i})\Big{\rangle}=0 (). Also, allows us to cancel parts of the cross terms namely those products involving a “1” sub-script and a “2” sub-script. Therefore
[TABLE]
Subtract the first equation from the second one and substitute Lemma 4 into the left hand side; on the right side, move the acting on the first factor of each inner product to the acting on the second factor, noting (7), to obtain, for and (with all ’s set to have zero mean over )
[TABLE]
where
[TABLE]
with from (8). Setting the testing function and respectively in (20) yields,
[TABLE]
Lemma 5**.**
On the surface of revolution parametrized by (3) and equipped with metric tensor (40), let the Coriolis parameter to be independent of longitude namely . Choose
[TABLE]
and let the corrector operator
[TABLE]
- (i)
If then and the commutation holds. 2. (ii)
Let integer . If and
[TABLE]
for some constants , then the corrector defined above satisfies
[TABLE]
Note for a perfect sphere i.e. and for the usual choice of Coriolis parameter in geophysics namely , the condition (22) is met with and .
Proof.
(i) For , we compute its first part by applying the product rule and ,
[TABLE]
Similarly, it is straightforward to show that operator is skew-self-adjoint. Thus,
[TABLE]
Further, by the gradient formula in (43), the fact that is independent of , the fact that is clockwise rotation so that and the directional derivative formula (42), we have . Since the coefficients in the Laplacian (45) are independent of , in view of (23) and the assumption of part (i), we have proven .
Next, we compute the entirety of ,
[TABLE]
Again, the assumption of part (i) yields and so by the divergence formula (44),
[TABLE]
where the last two terms result from simple manipulation of commutation. By the local expression of Laplacian (45) and the fact that are independent of , the last commutator vanishes. Since apparently \big{[}\sqrt{\tfrac{g_{1}}{g_{2}}}\partial_{2}\,,\,\tfrac{1}{g_{1}}\big{]}(g_{1}\Delta\sigma)=\left\{\sqrt{\tfrac{g_{1}}{g_{2}}}\partial_{2}\big{(}\tfrac{1}{g_{1}}\big{)}\right\}(g_{1}\Delta\sigma) and therefore the other two terms cancel exactly, we have shown . Combining with (21) and noting (13) yields . Therefore, in view of the commutations (12), (18), (19), we complete the proof of part (i).
(ii) The calculation in (23) and (24) is independent of the form of . The exact cancellation only comes in after we apply the assumption of part (i) which essentially is to set to be . Therefore, the linear dependence of on means that, for part (ii), we still can use (23) and (24) and then replace each occurrence of in there by
[TABLE]
so that simple functional analysis and derivative counting yields estimates
[TABLE]
The norm of , in view of definition (14) and the divergent formula (44), equals the left hand side of (22). Thus,
[TABLE]
Combining this with (21) and noting (14) yields \big{\|}[\Delta,{\mathsf{F}}J]{\mathbf{u}}-2{{\mathcal{A}}^{s}}({\mathbf{u}})\big{\|}_{k}\leq\varepsilon\,C_{k}C_{\mathsf{F}}^{\prime}\,\|{\mathbf{u}}\|_{k}. Therefore, in view of the commutations (12), (18), (19), we complete the proof of part (ii). ∎
3. Time-average and zonal flows
To prove Theorem 3 in the framework of [5], the main task is to identify the kernel , the operator which denotes some projector onto , and to establish an upper bound on in terms of . The projection we will introduce in the next lemma is not necessarily an orthogonal projection and is based on taking zonal average of the zonal wind component of .
Lemma 6**.**
On manifold , consider sufficiently regular scalar function with zero global mean and velocity field .
- (i)
* if and only if*
[TABLE]
if and only if
[TABLE] 2. (ii)
The following defines a projection operator onto ,
[TABLE]
Here, is the div-free component in the Hodge decomposition of ; and is the line integral along the circle at a fixed colatitude . 3. (iii)
If further for some constant , then the velocity and height components of the projection defined above satisfy
[TABLE]
Remark 1**.**
We can also use instead of in the integral of (27), knowing that Stokes Theorem guarantees the circulation of over any closed path vanishes.
Remark 2**.**
Projection it is not an -orthogonal projection anymore. Although the -orthogonal projection onto always exists by standard theory of Hilbert space, it is unclear that such a projection satisfies the estimate (28) in any spaces.
Proof.
[TABLE]
Apply Hodge decomposition (13) to the term in above,
[TABLE]
Due to the uniqueness of Hodge decomposition, both the irrotational and incompressible parts of the left hand side should vanish, which yields two conditions. Substituting them back to (29) proves the equivalent conditions of in (25).
Since if and only if for some scalar function , we apply the product rule on to find namely the two gradients and are parallel at every point of . Since is independent of which makes have only component, should also be independent of .
Therefore, in the last equality of (25), the term equals which leads to
[TABLE]
And, because is always of zero global mean, so should be. Thus, we have proven the equivalent conditions of in (26).
(ii) By the divergence formula (44), the longitude-independent zonal flow defined in (27) is divergence-free. By the same reason and the fact that is also independent of , we have namely . And the last condition of (25) is directly enforced by the definition (27). Therefore, .
Straightforward calculation can show Therefore, is a projection onto .
(iii) Denote the incompressible and irrotational parts of the Hodge decomposition (13)
[TABLE]
so that . Without loss of generailty, assume
[TABLE]
Immediately, by the definition of in (2),
[TABLE]
In view of the definition of norm in (14), this implies
[TABLE]
Next, by Hodge decomposition
[TABLE]
Apply div and curl respectively and estimate the left hand side using (30) to obtain
[TABLE]
[TABLE]
Apply Lemma 7 and estimates (31), (32),
[TABLE]
Combine with estimate (31) again to obtain
[TABLE]
Finally, since and have zero-global-mean, by the Poincaré inequality and the triangle inequality
[TABLE]
In view of estimates(33), (34), this finishes the proof of part (iii).
∎
Lemma 7**.**
On manifold with Coriolis parameter satisfying for some constant , any sufficiently regular, incompressible velocity field satisfies
[TABLE]
with defined in (27) as the zonal mean of .
Proof.
Let so that by the gradient formula in (43),
[TABLE]
Then, combine this with (27) to have
[TABLE]
Therefore,
[TABLE]
and thus, by the Poincare inequality
[TABLE]
Finally, by the product rule, we have . Therefore, by the given assumption, and so the proof is complete. ∎
4. The geometry of a revolving surface
Recall the parametrization of in (3). Since the definition of manifold requires the construction of charts, we also impose that there exist constants so that
[TABLE]
and
[TABLE]
where denotes the -th derivative of with respect to .
Conditions (35) ensure that is invertible on , and is invertible on . Therefore, the entire can be covered by four charts: two overlapping charts whose union cover exactly the strip (one uses local coordinates and the other uses ); one chart that covers exactly the north cap and one that covers exactly the south cap , both of which use local coordinates . Finally, for to be a differential manifold, on the north and south caps, the coordinate must be a smooth function of the designated coordinates of the charts therein. Since is strictly away from 0 in the caps, this is reduced to the boundedness and continuity of and their products with denoting a generic -th order mixed derivatives. By Leibniz ruls,
[TABLE]
Similarly, for ,
[TABLE]
Since (35) ensures is bounded in the north/south caps, by induction on
[TABLE]
over the north/south caps. Use this to bound the right hand side of (37) and obtain
[TABLE]
which is why we impose condition (36).
Next, at a given point , the tangent space is defined as the linear space consisting of all “tangent vectors” which are fundamentally derivations (mapping that satisfies the product rule) and this definition is intrinsic, namely independent of any ambient space. In any local coordinates such as the one we just defined, the tangent space is spanned by partial derivatives \big{\{}{\partial\over\partial p_{1}},{\partial\over\partial p_{2}}\big{\}}. We then intrinsically define differential forms as an exterior algebra so that a differential -form at given point maps any -tuple of tangent vectors222In fact, the -tuple is understood as the wedge product of tangent vectors. But in this article, we only use the wedge product of differential forms. at to a scalar and the exterior derivative is the unique linear mapping from any -form to -form and satisfying the following three axioms for any 0-form (i.e. scalar-valued function), any vector (i.e. derivation) field and any -form , ,
[TABLE]
The central concepts of exterior algebra include the multi-linearity of the forms and the wedge product satisfying, for -form and -form ,
[TABLE]
The complete definitions and list of properties of differential forms can be found in e.g. [Warner:Diff]. In particular, the 1-form in local coordinates satisfies so that ,
[TABLE]
For studying Euler equations on a manifold, it is convenient to introduce the vectorial dot product, namely a positive symmetric bilinear form which is an intrinsic notion. In fact, at given point , each partial derivative () is identified with a tangent vector which we shall call . Such identification is denoted by
[TABLE]
and satisfies, for scalar field defined in ,
[TABLE]
Combining this with the definition
[TABLE]
we obtain
[TABLE]
Therefore, we choose to have its coordinate to be while holding the other coordinate fixed. Then, by the parametrization (3) of the surface, for , we express in Cartesian coordinates of as
[TABLE]
and for , we express in Cartesian coordinates of as
[TABLE]
For physicality, we require the dot product on the surface to be consistent with that of the ambient Euclidean space . That is, the inner product inherits the definition of the ambient dot product and can be fully and uniquely represented by the metric tensor in the form of a 2-by-2 matrix,
[TABLE]
Note that the basis are everywhere orthogonal but not normalised, even if is a perfect sphere. Compared to the choice of an orthonormal basis, this choice will change the expressions for and div , but as long as the same coordinates are used, the expressions for the area form in the surface integral (41) and scalar Laplacian (45) remain unchanged. The particular type of product in (42) also remains unchanged (as an intrinsic property of inner product). The area form in the coordinates is i.e. the surface integral is
[TABLE]
For a scalar field , its gradient can be defined using the so-called musical morphisms the details of which can be found in […]. For the calculation herein, it suffices to acknowledge the property
[TABLE]
Express in the local basis with undetermined coefficients, substitute it into the left hand side and apply the dot product prescribed in (40) to find
[TABLE]
By duality , (42) and integral form (41), we must have \int\big{(}v_{1}{\partial\over\partial p_{1}}f+v_{2}{\partial\over\partial p_{2}}f\big{)}\sqrt{|\mathfrak{g}|}dp_{1}dp_{2}=-\int(\textnormal{\,div\,}{\mathbf{v}})f\sqrt{|\mathfrak{g}|}dp_{1}dp_{2}. Therefore,
[TABLE]
and therefore use to obtain
[TABLE]
since and all terms in the metric tensor (40) are independent of .
Acknowledgement
BC would like to thank Brett Kotschwar and Paul Skerritt for their valuable comments on Calculus on Riemannian manifold.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1[1] Besicovitoh, A. S. Almost periodic functions . Cambridge (1932).
- 2[2] Bogoliubov, N. N., and Yu Mitropolsky. Asymptotic methods in nonlinear mechanics . Gordon Breach, New York (1961).
- 3[3] Bin Cheng, Singular limits and convergence rates of compressible Euler and rotating shallow water equations , SIAM J. on Mathematical Analysis, 44 (2012), 1050–1076.
- 4[4] Bin Cheng and Alex Mahalov, Euler equations on a fast rotating sphere–time-averages and zonal flows , European J. Mech. - B/Fluids, 37 (2013), 48–58.
- 5[5] Cheng, B. and Mahalov, A., Time-averages of fast oscillatory systems . Discrete Contin. Dyn. Syst. Ser. S, (2013), 1151-1162
- 6[6] B. Cheng and A. Mahalov. General Results on Zonation in Rotating Systems with a β 𝛽 \beta -Effect and the Electromagnetic Force. In Zonal Jets: Phenomenology, Genesis, Physics. Boris Galperin and Peter L. Read eds. Cambridge University Press, 2019.
- 7[7] Dutrifoy, A.; Majda, A. The dynamics of equatorial long waves: a singular limit with fast variable coefficients. Commun. Math. Sci. (2006).
- 8[8] Dutrifoy, A.; Majda, A. Fast wave averaging for the equatorial shallow water equations. Comm. Partial Differential Equations (2007).
