Biharmonic wave maps: Local wellposedness in high regularity
Sebastian Herr, Tobias Lamm, Tobias Schmid, Roland Schnaubelt

TL;DR
This paper establishes local well-posedness for biharmonic wave maps with high regularity initial data, using a vanishing viscosity approach and geometric analysis to ensure existence, uniqueness, and stability of solutions.
Contribution
It introduces a novel approach employing parabolic regularization and viscosity methods for biharmonic wave maps, extending well-posedness results to higher regularity settings.
Findings
Proved local well-posedness for biharmonic wave maps with high Sobolev regularity.
Developed a vanishing viscosity and parabolic regularization technique for existence.
Established continuous dependence and uniqueness of solutions.
Abstract
We show the local wellposedness of biharmonic wave maps with initial data of sufficiently high Sobolev regularity and a blow-up criterion in the sup-norm of the gradient of the solutions. In contrast to the wave maps equation we use a vanishing viscosity argument and an appropriate parabolic regularization in order to obtain the existence result. The geometric nature of the equation is exploited to prove convergence of approximate solutions, uniqueness of the limit, and continuous dependence on initial data.
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Biharmonic wave maps: Local wellposedness in high regularity
Sebastian Herr, Tobias Lamm, Tobias Schmid and Roland Schnaubelt
Fakultät für Mathematik
Universität Bielefeld
Postfach 10 01 31
33501 Bielefeld
Germany
Department of Mathematics
Karlsruhe Institute of Technology
Englerstraße 2
76131 Karlsruhe
Germany
[email protected]](mailto:[email protected])
(Date: March 17, 2024)
Abstract.
We show the local wellposedness of biharmonic wave maps with initial data of sufficiently high Sobolev regularity and a blow-up criterion in the sup-norm of the gradient of the solutions. In contrast to the wave maps equation we use a vanishing viscosity argument and an appropriate parabolic regularization in order to obtain the existence result. The geometric nature of the equation is exploited to prove convergence of approximate solutions, uniqueness of the limit, and continuous dependence on initial data.
TL, TS and RS gratefully acknowledge financial support by the Deutsche Forschungsgemeinschaft (DFG) through CRC 1173.
1. Introduction
Let be a smooth Riemannian manifold which we assume to be isometrically embedded into some Euclidean space . Biharmonic wave maps are critical points of the (extrinsic) action functional
[TABLE]
These maps model the movement of a thin, stiff, elastic object within the target manifold .
The Euler-Lagrange equation of has been calculated in [6] (in the case ) and in [13] (for arbitrary ) and it is given by
[TABLE]
In particular, if the manifold has non-vanishing curvature, the condition (1.2) is rewritten as a nonlinear partial differential equation
[TABLE]
where is a nonlinear expression of the indicated derivatives of . It is explicitely given in (2.1). We also note that the following energy
[TABLE]
is (formally) conserved up to the existence time.
In the flat case (or any affine subspace), the condition (1.2) reduces to the free evolution of a system of decoupled (or linearly coupled) biharmonic wave equations
[TABLE]
which appear in the elasticity theory of vibrating plates. Here, requiring the parametrization of a thin plate, the bending energy of the elastic plate involves integrated curvature terms of the plate’s surface. Hence, in the case of sufficiently stiff material, the potential energy in (1.1) is a reasonable approximation of the elastic energy. We refer to the classical book of Courant and Hilbert [2, Chapter 5.6] for more information.
Semi-linear evolution problems related to (1.4) without a geometric constraint, such as
[TABLE]
have been thoroughly studied. For instance, if and , global existence and scattering of solutions of (1.5) has been proved by Pausader in [12], as conjectured by Levandosky and Strauss.
A well-studied hyperbolic geometric evolution problem is the wave maps equation
[TABLE]
which arises as the Euler-Lagrange equation of a first order analogue of the action (1.1) with constraint . Here, is the d’Alembert operator, is the Minkowski metric and is the second fundamental form of the embedded manifold . The Cauchy problem for (1.6) has been studied intensively as a model for the subtle interplay of nonlinear dispersion, gauge invariance and singularity formation. In particular, we refer to the global regularity theory achieved by novel renormalization techniques of Tao in [17] and [18], see also the survey article by Tataru [19]. In the energy-critical dimension a proof of the threshold conjecture on the question of blow-up versus global regularity and scattering is given by Sterbenz and Tataru in [16].
A different but related model is the Schrödinger maps problem for a map into a Kähler manifold . This is the Hamiltonian flow for the Dirichlet energy of induced by the (symplectic) Kähler form on . For the Hamiltonian equation reads as
[TABLE]
and attracted a lot of attention in the past decades. We refer to the global regularity results for and by Bejenaru, Ionescu, Kenig and Tataru in [1] and for homogeneous spaces and large dimension by Nahmod, Stefanov and Uhlenbeck in [11]. While different, the methods in both cases exploit the geometric nature of the Schrödinger maps flow by the choice of a suitable frame system along a solution.
In sharp contrast, there is very little literature on the bi-harmonic wave maps (1.2), as discussed below. The main goal of this paper is the proof of the following local wellposedness result for the Cauchy problem corresponding to (1.2) in Sobolev spaces with sufficiently high regularity. We stress that it is difficult to employ the energy method for high regularity solutions of (1.2) since explicitly depends on the third order derivatives and the energy contains only . We will overcome this difficulty by exploiting the geometric constraints of solutions. From now on, let be a compact Riemannian manifold, isometrically embedded into .
Theorem 1.1**.**
Let satisfy and for a.e. as well as
[TABLE]
for some with . Then the following assertions hold:
- (a)
There exists a maximal existence time
[TABLE]
and a unique solution of (1.2) with , , and
[TABLE]
- (b)
For there exists a (sufficiently small) radius such that for all initial data as above that satisfy
[TABLE]
*the unique solution exists on Further, for such initial data the map is continuous in for . *
- (c)
If , then
[TABLE]
In particular, for smooth initial data with and for having compact and , there exist and a smooth solution of (1.2).
It is worthwhile to remark that both and do not necessarily belong to and it is only the difference of these two functions which is contained in this space. We further mention that the lower bound ensures the existence of bounds for from Sobolev’s embedding. This is necessary in order to establish our energy estimates in the following sections.
The first, second and fourth author have recently shown in [6] that there exists a global weak solution of (1.2) for initial data in the energy space in the case . In [6] a crucial ingredient is a conservation law which allows to construct the desired solution as a weak limit of a sequence of solutions of suitably regularized problems. The derivation of this conservation law relies on the fact that the action functional is invariant under rotations in the highly symmetric setting , and this argument does not apply to arbitrary target manifolds .
Moreover, the third author has shown energy estimates for biharmonic wave maps in low dimensions in [13]. When combining this result with the above blow-up criterion (1.8), he then obtained the existence of a unique global smooth solution of (1.2) for smooth and compactly supported initial data. This results extends earlier work of Fan and Ozawa [5] for spherical target manifolds.
A local well-posedness result as in Theorem 1.1 is standard for second-order wave equations with derivative nonlinearities such as wave maps. It can be found for example in the books of Shatah and Struwe [14] and Sogge [15]. In contrast to this case, our nonlinearity depends on the third spatial derivative of which cannot directly be controlled by the energy of (2.1) that only contains second order spatial derivatives. In our proof we use the geometric nature of the equation in several crucial steps in order to be able to rewrite this expression in terms of derivatives of lower order.
Concerning the continuous dependence of the solution on the initial data, as the nonlinearity depends on third spatial derivatives, no Lipschitz estimate in the norm is expected from the energy method (as we observe e.g. from the a priori estimates in Section 6) and we cannot apply a fixed point argument. In comparison to semi-linear wave equations with derivative nonlinearities (such as wave maps), this makes the well-posedness problem for (1.2) more involved.
We briefly note that our result applies to an intrinsic version of a biharmonic wave map. The functional has an intrinsic analogue defined by
[TABLE]
where is the tension field of a smooth function . In contrast to , the functional is independent of the embedding of . Since the Euler-Lagrange equation differs only by lower order terms (see (2.2) in Section 2 below), we can prove the existence of local unique intrinsic biharmonic wave maps with initial data as in Theorem 1.1. However, we do not have a result for initial data with (only) covariant derivatives in .
In the following, we briefly outline the structure of the paper. In Section 3, we use a vanishing viscosity approximation and solve the corresponding Cauchy problem for the damped problem
[TABLE]
In order to obtain a limiting solution for (1.2) as , we prove a priori energy estimates which are uniform in in Section 4. As a by-product we obtain the blow-up criterion in Theorem 1.1. The existence part in Theorem 1.1 is then shown in Section 5, and in Section 6 we prove that the solutions are unique. Finally we establish the continuity of the flow map in Section 7.
2. Notation and preliminaries
In this section and in the following we will write for a generic constant only depending on , and , and often also instead of . In order to obtain the explicit form of (1.2), we use the fact that there exists some and a smooth family of linear maps for such that
[TABLE]
is an orthogonal projection onto the tangent space . The Euler-Lagrange equation (1.2) can thus be written as
[TABLE]
Exploiting that takes values in , we have
[TABLE]
where the tensors are explicitly described below.
We briefly remark that, compared with the right hand side of (2.1), the Euler-Lagrange equation for the intrinsic biharmonic wave maps problem (1.9) differs by
[TABLE]
The projectors are derivatives of the metric distance (with respect to ) in , i.e.,
[TABLE]
Moreover, if is sufficiently close to , then has the nearest point property, i.e., and hence
[TABLE]
Therefore is well-defined. Using cut-off functions we extend the identity (2.3), and thus also the equation , to all of . Moreover, all derivatives of are bounded on . In this way one can investigate (2.1) without restricting the coefficients a priori. Further, for we denote by the derivative of order of the map , which is a -linear form on . For the coefficients in the standard coordinates in we write
[TABLE]
We now derive (2.1) from the condition (1.2) for smooth solutions . Note that we use the sum convention, i.e. the same indices in super-/subscript means summation.
Since , we infer the identity
[TABLE]
for . Because of , we also obtain
[TABLE]
and hence
[TABLE]
The symmetry of the indices then implies
[TABLE]
We briefly state the expressions from (2.2) in coordinates, i.e.,
[TABLE]
for . In the following we use the shorthand for (linear combinations of) products of partial derivatives of the components of for . Here the partial derivatives are of order and , respectively. With this notation we can rewrite equation (2.1) as
[TABLE]
The Leibniz formula implies the following identity.
Lemma 2.1**.**
For and we have
[TABLE]
In order to include the case in the lemma, we will use for the sum in (2.4) or similar formulas. The calculation of derivatives and for sufficiently regular and has been included in Appendix A, employing the -convention. The results from Appendix A will be used frequently throughout the paper. In the following sections, we also need a version of the classical Moser estimate, see e.g. [20, Chapter 13].
Lemma 2.2**.**
Let and satisfy . There exists such that for all we have
[TABLE]
In particular,
[TABLE]
3. Existence for the parabolic approximation
Since energy estimates for the operator are not sufficient to show the existence of a solution of (2.1). Instead, we use the damped plate operator
[TABLE]
with fixed, as a regularization. More precisely, we prove the existence of a solution of the Cauchy problem
[TABLE]
where satisfy and for a.e. as well as
[TABLE]
for some with . In the following we mostly drop the super-/subscript and write instead of . We note that the condition in (3.1) reads as
[TABLE]
Using , we can expand
[TABLE]
We thus study the regularized problem
[TABLE]
We next solve (3.4) without the geometric constraint, recalling that only .
Lemma 3.1**.**
Let and take with and for a.e. such that
[TABLE]
for some with . Then (3.4) has a unique local solution satisfying , , and
[TABLE]
In addition,
[TABLE]
and there exists a constant such that for
[TABLE]
Before we prove Lemma 3.1, we reduce the problem to functions in by setting . We thus rewrite (3.4) as
[TABLE]
where and is defined through
[TABLE]
Further the operator is given by
[TABLE]
Since the operators extend each other we drop the subscript . It is well known that generates an analytic -semigroup , see e.g. [3, Prop. 2.3] for the case . Using also standard parabolic theory, see e.g. [8, Prop. 0.1] and [10, Prop. 1.13], we obtain a first linear existence result with some extra regularity.
Lemma 3.2**.**
Let , , and . Then there exists a unique solution of the linear equation
[TABLE]
satisfying
[TABLE]
We remark that the solution of (3.11) is given by
[TABLE]
We quantify the above result by the following higher-order energy estimates.
Lemma 3.3**.**
Let , , , and with . Then from Lemma 3.2 satisfies
[TABLE]
for , and
[TABLE]
Proof.
Writing in Lemma 3.2, the function fulfills
[TABLE]
in . We first differentiate (3.15) of order with . Testing with and integrating by parts in , we derive
[TABLE]
which makes sense for a.e. . (Here and below we use the duality in intermediate steps.) We then absorb the last term by the left-hand side and integrate the inequality in .
To control the second summand with in (3.13), we test the differentiated version of (3.15) by . Here we proceed similarly as before, where we integrate the term
[TABLE]
by parts in and before aborbing it.
It remains to estimate the -norm of and the -norm of . These inequalities follow by testing the equation with and using the fact that
[TABLE]
Proof of Lemma 3.1.
We aim at constructing a solution , but due to we have , which is insufficient for an application of Lemmas 3.2 and 3.3 in a fixed point argument for .
We thus approximate by for such that is compact with
[TABLE]
Defining as above with instead of , we obtain . For the data we now prove the existence of a fixed point for the operator defined through
[TABLE]
which acts on the space
[TABLE]
for parameters and fixed below and the metric given by
[TABLE]
Let be fixed. We will show that the map
[TABLE]
is strictly contractive with respect to if we choose and with
[TABLE]
for a constant depending only on , , and . To show this statement, we have to prove the estimates
[TABLE]
for . To employ the inequality (3.13) for , we need to bound the norms
[TABLE]
by and , respectively. This is done by means of Lemma A.1 and Corollary A.4 combined with a careful application of the Moser estimate in Lemma 2.2. We give the relevant details below in Section 4 in the proof of the a priori estimate and in Section 6 for the uniqueness since these parts require more thought. In this way we obtain in the fixed point satisyfying
[TABLE]
In particular, .
We next define and in the same way as and using instead of and the instead of . Thus,
[TABLE]
For sufficiently small we have and . Hence is well defined and for a constant . Observe that for sufficiently small , the differences and solve (3.11) with the nonlinearity
[TABLE]
Similar to the proof of the Lipschitz estimate (3.21), Lemma 3.3 then yields the bound
[TABLE]
Hence, if is sufficiently small, as the functions tend to a function
[TABLE]
with , where the limits exist in these spaces. In particular, is a solution of (3.8) and solves (3.4). Moreover, by (3.13) the function satisfies inequality (3.7), and therefore this estimate also holds for since strongly in and strongly in because of Corollary A.4 and Lemma 2.2.
For the uniqueness of , we note that, for a second solution , the functions and solve (3.11) with the nonlinearity . Lemma 3.3 then yields the estimate
[TABLE]
(Note that from the Lemma is different, namely .) Hence, if is sufficiently small, we obtain and thus is unique. ∎
We next show that the above solution actually takes values in the target manifold.
Proposition 3.4**.**
Let and take with and for a.e. satisfying
[TABLE]
for some with . Then there exists a maximal existence time and a unique solution of (3.1) with , ,
[TABLE]
and which satisfies (3.7) for .
Proof.
Fix . Let be the solution of (3.4) constructed in Lemma 3.1. We first show that for and small enough. Since
[TABLE]
and a.e. on , there exists a time such that for the distance
[TABLE]
is so small that is well-defined. We then let and we note that . Calculating
[TABLE]
we conclude that
[TABLE]
Next, we note that
[TABLE]
By testing the above equation for by , it follows
[TABLE]
This fact implies that and hence , which means that .
The claimed uniqueness follows similarly to the end of the proof of Lemma 3.1. Finally, we let be the supremum of times such that we have a solution of (3.1) with , ,
[TABLE]
and which satisfies (3.7) on . ∎
Remark 3.5**.**
We remark that up to now we fixed . Since the constants in the upper bound in estimates such as (3.22) are of order , we have to prove independent estimates in the next section.
4. The a priori estimate
We now prove an a priori estimate for the solution of the equation
[TABLE]
given by Proposition 3.4 with and initial data such that and for a.e. as well as
[TABLE]
for some with . As before we write instead of , and we fix a number . Moreover, (3.7) says that
[TABLE]
for . We recall that the summand with on the right-hand side is well defined because of (3.3).
In the following, we often make use of the relations and which hold since for a.e. . In particular, . Using this fact, we first write
[TABLE]
where the second equality follows from the Leibniz formula
[TABLE]
In (4) we thus split
[TABLE]
We start by estimating
[TABLE]
Lemma 2.1 yields the identity
[TABLE]
which implies the pointwise inequality
[TABLE]
On the other hand, Lemma A.1 allows us to bound pointwise (up to a constant) by terms of the form
[TABLE]
where and are as in Lemma A.1. Moreover, in the case (where no derivatives fall on the coefficients) the terms are of the form
[TABLE]
where and . Note that since . In the following we use the notation (4.8) - (4.10) for all five cases, setting for the latter three.
Combining the above considerations with Lemma 2.2, we can now estimate the norm
[TABLE]
where we distinguish five cases according to the terms in the brackets in (4.8) - (4.10).
Case 1:
We use Lemma 2.2 with
[TABLE]
and derivatives of order
[TABLE]
Employing also Young’s inequality, it follows
[TABLE]
The other cases will be treated similarly. Note that here and in the following the norms and especially are bounded by our choice of .
Case 2:
Here it is exploited that in due to the cancellation from (4.4). This time Lemma 2.2 is applied with and derivatives of order
[TABLE]
since by (4.6). We estimate
[TABLE]
Case 3:
As in the previous case, dominates
[TABLE]
Case 4:
We apply Lemma 2.2 to the functions with derivatives of order
[TABLE]
leading to the bound
[TABLE]
Case 5:
We now use Lemma 2.2 with and derivatives of order
[TABLE]
Hence, we have
[TABLE]
Summing up the five cases, we infer
[TABLE]
Next, in from (4.5) we integrate by parts in order to conclude
[TABLE]
These terms are estimated by
[TABLE]
We control by terms of the form (4.8) - (4.10) in the norm, obtaining as above
[TABLE]
Equation (4.6) and Lemma 2.2 further imply
[TABLE]
where . Similarly, we have
[TABLE]
by Lemma 2.2 with since . The above three inequalities yield
[TABLE]
Finally, for the regularization term, we observe
[TABLE]
In view of (3.3), to bound it suffices to estimate
[TABLE]
where and , respectively. As before, Lemma 2.2 implies the inequalities
[TABLE]
Putting together (4.11), (4.14), (4.17) and (4.18), we arrive at the inequality
[TABLE]
Subtracting the last term on both sides of (4), for we conclude
[TABLE]
It remains to bound the lower order terms. Testing (4.1) by , we infer
[TABLE]
Since also
[TABLE]
it follows
[TABLE]
for . The other derivatives are treated via interpolation, more precisely
[TABLE]
Estimate (4) and the above inequalities lead to the core estimate
[TABLE]
for solutions of (3.1) and . Using Gronwall’s lemma we also obtain
[TABLE]
At least for small times we want to remove the dependence on on the right-hand side of (4.22) and thus we introduce the quantity
[TABLE]
for . We observe that is equivalent to the square of the Sobolev norms appearing in (4.22). Since the solutions to (3.1) are (locally) unique, our reasoning is also valid for any initial time . The estimates (4), (4.20) and (4.21) thus imply
[TABLE]
By the above arguments, the function is differentiable a.e. so that
[TABLE]
for a.e. . We now proceed similarly to [7], where regularization by the (intrinsic) biharmonic energy has been applied in order to obtain the existence of local Schrödinger maps.
Lemma 4.1**.**
Let and take data with and for a.e. satisfying
[TABLE]
Let be the maximal existence time of the solution of (3.1) with and from Proposition 3.4. Then there is a time such that for all .
Proof.
Let and . We write . ¿From (4.24) we infer
[TABLE]
With it follows
[TABLE]
for , and hence
[TABLE]
for . Since and the Sobolev norms are equivalent, we infer
[TABLE]
for and some constant .
We now assume by contradiction that for some (fixed) . We apply the contraction argument in the proof of Lemma 3.1 for the initial time and data in the fixed-point space with radius
[TABLE]
Since , estimate (4.26) yields the uniform bound
[TABLE]
As a result, the time
[TABLE]
is less or equal than the time for in (3). Therefore, the solution can be uniquely extended to in the regularity class of Proposition 3.4. For this fact contradicts the maximality of , showing the result. ∎
5. Proof of the main theorem
We now combine the existence result from Proposition 3.4 with Lemma 4.1. Thus, there exists a solution of (3.1) for each , where only depends on and . From (4.26) and the inequality
[TABLE]
we extract a limit as of the solutions in the sense
[TABLE]
where and . (Here and below we do not indicate that we pass to subsequences.) In particular,
[TABLE]
and is weakly continuous in . We first assume (which is no restriction if ). Estimating the nonlinearity similarly to Section 4, we also deduce from (3.3) and (4.26) that is uniformly bounded as . Compactness and Sobolev’s embedding further yield
[TABLE]
More precisely for and , our a priori estimates and [9, Prop. 1.1.4] imply uniform bounds (in ) in the spaces
[TABLE]
As a result, takes values in . Moreover, since (4.22) and (4.26) give
[TABLE]
and , we infer that in . Combining this fact with (5) and recalling (3.4), we conclude
[TABLE]
In the case and we obtain the convergence in the sense of the duality because we still have
[TABLE]
locally uniformly, as well as and in as .
Summing up, we have constructed a local solution of (2.1) with and such that is bounded and weakly continuous in .
In Lemma 6.1 it will be shown that such a solution is locally unique. We recall from the proof of Proposition 4.1 that the solution for some can be extended if . There thus exists a maximal time of existence of with
[TABLE]
Arguing as in Section 4, we establish the energy equality
[TABLE]
for . (The integral is well-defined in view of the cancellation of one derivative in (4.3).) However, in contrast to the approximations , the solution has only weak spatial derivatives (and has . For this reason, when deriving (5.4) we have to replace one spatial derivative by a difference quotient. The details are outlined in Appendix C.
We conclude that the highest derivatives are continuous, employing their weak continuity and that the right-hand side of (5.4) is continuous in . The continuity of the lower order derivatives can be shown as in the next section, so that
[TABLE]
as asserted. Finally, following the proof of the a priori estimate in Section 4 we can derive the blow-up criterion (1.8), cf. Appendix C.
To show Theorem 1.1 it thus remains to establish the uniqueness statement and the continuous dependence on the initial data, which is done in the next Sections 6 and 7.
6. Uniqueness
Lemma 6.1**.**
Let be two solutions of (1.2) with initial data and such that on and
[TABLE]
for some with . Also let
[TABLE]
Then
Proof of Lemma 6.1.
We derive the uniqueness statement from a Gronwall argument based on the equality
[TABLE]
for , and , which is a consequence of (2.1). Setting
[TABLE]
we want to prove
[TABLE]
for . We first estimate (6.1) in the case . Since and map into , we have and analogously for . It follows
[TABLE]
and hence
[TABLE]
In this way, we can avoid that all derivatives fall on . We next write
[TABLE]
Observe that
[TABLE]
We then control using Lemma 2.2 as above for the a priori estimate (4.22). Further, Lemma A.2 implies that is bounded by terms of the form
[TABLE]
where and are as in Lemma A.2. In (6.3) we then estimate as above in the a priori estimate. For (6.4), it suffices to control terms of the form
[TABLE]
where is given as in the nonlinearity and the orders , and are as used before. To apply Lemma 2.2, as above we choose
[TABLE]
and , according to the respective terms in . We can thus estimate (6.5) in by
[TABLE]
noting that and . We continue by computing
[TABLE]
where the second equality is a consequence of
[TABLE]
We use integration by parts to treat and . Here we assume that . (If the estimate becomes easier and we only employ integration by parts for in the difference .) It follows
[TABLE]
We first bound
[TABLE]
Corollary A.3, Lemma A.2 and Lemma 2.2 yield
[TABLE]
The integrals of and are treated similary. Summing up, we obtain
[TABLE]
We can similarly derive the estimate (integrating by parts)
[TABLE]
Interpolation on the left-hand side then yields
[TABLE]
By assumption, we have and
[TABLE]
so that on as asserted. ∎
7. Continuity of the flow map
We now prove that the solutions of the Cauchy problem for (1.2) depend continuously on the initial data. As seen in the previous section, the difference of two solutions and satisfies estimates in which one loses a derivative compared the a priori bounds such as (4.22) for the solutions and themselves. To deal with this problem, we apply the Bona–Smith argument, which is outlined e.g. in [21] (for the Burgers equation) and in [4] (for the KdV equation); see also the references therein.
Let be the maximal existence time of the solution with initial data from Theorem 1.1. Fix . Take data as in the theorem satisfying
[TABLE]
for some . (We note that we have to assume in order to establish the a priori estimate for the difference of the solutions as in the Section 6.) We use regularized data and in the sense of Lemma B.1 from Appendix B, where for some depending on . The corresponding solutions are denoted by and . They satisfy the regularity assertions of part a) of Theorem 1.1 for all . It is crucial that the a priori estimates for and are uniform in . We split into
[TABLE]
and bound each of the differences in .
In order to estimate and , we use the geometric structure (as before in Section 6). It allows us to fix a (small) parameter for which the differences are small in . This can be done uniformly for in a certain ball around . For fixed , one can then estimate employing their extra regularity, but paying the price of a large constant (arising from the small parameter ). We can control this constant, however, by choosing a small radius in (7.1).
We start with some preparations concerning the cancellations caused by the geometric constraints. As in Section 6, we have
[TABLE]
We then calculate (again similar to Section 6)
[TABLE]
Using integration by parts and (7.2), the last term is rewritten as
[TABLE]
which is well defined by the higher regularity of . Technically this has to be established by difference quotients as in Appendix C, however we omit the details here. The advantage of estimating is that the bad terms (with respect to the regularity of )
[TABLE]
will be bounded by the regularized initial data from Lemma B.1. Their norm will grow as in a controlled way. Moreover, when estimating (7.3) and (7.4), these bad terms only appear in the products
[TABLE]
Here the decay of as will compensate the growth in (7.5). We now carry out the details in several steps.
Step 1. Since , we have the bound
[TABLE]
Lemma B.1 allows us to fix a parameter depending on such that
[TABLE]
for all . We let and also in (7.1). Hence
[TABLE]
Here the constant is given by (B.6) and we have chosen . We define a time as in Lemma 4.1, replacing there by a multiple of . We then combine the uniform a priori bound (4.26) for the approximate solution to the –problem for on with (7.7). Likewise one treats and using (7.6) and (7.8), respectively. Following the existence proof in Section 5, we then see that the solutions and exist on . Proceeding as in Sections 4 and 6, we further obtain a constant such that
[TABLE]
on and for orders . Analogously, and satisfy the estimates (7.9) respectively (7.10), and the differences , and fufill (7.11) with the same constant independent of . For the regularized data we can replace here by , deriving
[TABLE]
Step 2. Estimating (7.3) and (7.4) as in Section 6, we derive
[TABLE]
for some . The nonlinearities are treated as in Sections 4 and 6. Using also (7.9), (7.11) and (7.12), we then conclude
[TABLE]
on . Gronwall’s inequality and Lemma B.1 thus yield
[TABLE]
as In view of our a priori bounds, we can estimate in the same way. Here we have to split the initial values, obtaining
[TABLE]
Lemma B.1 now implies that
[TABLE]
On the regularized level, we use the coarse estimate
[TABLE]
Since , it follows
[TABLE]
Now take and . We first fix and then choose such that for all we have
[TABLE]
In the above reasoning we now replace with corresponding solution by data with solution that satisfy the same assumptions as . The function thus fulfills the same a priori estimates as and also (7.14). Moreover, we assume that
[TABLE]
for some radius . We can then repeat the above arguments replacing by . The resulting regularization parameter depends on , and thus also the upper bound for the radii in (7.15). For given , we infer
[TABLE]
provided that in (7.15).
Step 3. In the case the proof is complete. Otherwise we repeat the same argument starting from
[TABLE]
Observe that (7.14) yields
[TABLE]
For a sufficiently small and all , we derive
[TABLE]
as in (7.6) and (7.8). Based on these bounds we can repeat the arguments of Steps 1 and 2 on the interval . However we have to replace the bound (7.1) involving by (7.14) which yields
[TABLE]
Let . Lemma B.1 allows us to fix a parameter such that
[TABLE]
As in (7.13) we then obtain
[TABLE]
if we choose , and hence , small enough.
Again we can argue in the same way for instead of , replacing , and by , and . For given , we thus obtain
[TABLE]
if and are small enough.
Step 4.
The previous step can be repeated times until . We set (with ) and use the resulting radius for the contunuity at , concluding the proof of the continuous dependence and thus of Theorem 1.1.
Appendix A Derivatives of the nonlinearity
In this section we assume are smooth maps. The calculations hold if and are sufficiently regular to apply the Leibniz formula (e.g. with weak derivatives in ). Lemma 2.1 and the Leibniz formula imply the following substitution rule.
Lemma A.1**.**
Let . Then we have
[TABLE]
where the terms and are of the form (with )
[TABLE]
with ;
[TABLE]
with ;
[TABLE]
with .
The following lemmata are used to prove the existence of a fixed point in Section 3 and the uniqueness result in Section 6.
Lemma A.2**.**
Let and . For we have
[TABLE]
and for
[TABLE]
Proof.
The result follows from subtracting the expansion in Lemma 2.1 for
[TABLE]
from the same expansion of . Then subsequently adding and subtracting the intermediate terms in the formula above gives the result. ∎
Corollary A.3**.**
Let and . Then we have
[TABLE]
where and . Likewise we have
[TABLE]
where and . Further
[TABLE]
where we sum over
Also, the case is similar.
Proof.
The assertions are consequences of the Leibniz rule and Lemma A.2. ∎
Corollary A.4**.**
We have for and that
[TABLE]
is a linear combination of terms of the form
[TABLE]
where , and are as above in Corollary A.3. Also, we have a similar (but simpler) statement for .
Proof.
We write, according to the definition of in (2.1),
[TABLE]
Then, we use Corollary A.3 for the first three terms in the sum above. For the latter three, we use Lemma 2.1 and the Leibniz rule. ∎
Let . We recall from (3.4) the definition
[TABLE]
Lemma A.5**.**
For the derivative compared to contains the additional terms
[TABLE]
with similarly to Lemma A.1.
Further compared to contains additional terms of the form
[TABLE]
with and similarly to Corollary A.4.
The implicit constants may depend on here.
Appendix B Approximation of the initial data
In this section we construct certain approximations of initial data in order to conclude continuous dependence of the solution on the initial data. As in the previous sections, take functions with , a.e. on , and
[TABLE]
for some with .
Lemma B.1**.**
Let the functions be as above. Then there is a number such that for there exist maps such that for all , and on which satisfy
[TABLE]
for a constant . Further let be as above with and
[TABLE]
for some . Then for we have
[TABLE]
Proof.
We choose the caloric extension for regularization, i.e., we consider and where
[TABLE]
and is the heat semigroup. Since and by assumption, the convolution is well defined for and . Moreover, tends to and to uniformly as , as well as
[TABLE]
The uniform convergence yields
[TABLE]
uniformly in . Hence, if is small enough we can define
[TABLE]
Recall that is the nearest point map and that by definition of the projector and . Especially we have
[TABLE]
for We further note that and are smooth maps and that we have the uniform convergence
[TABLE]
as by construction of (and the mean value theorem for ). Assertion (B.1) follows from
[TABLE]
by Young’s inequality for the convolution. Since , we further have to treat the terms
[TABLE]
We start by estimating (by means of the mean value theorem for )
[TABLE]
where uniformly as since . Similarly, employing Lemmas 2.1, 2.2 and A.2 as before, we see
[TABLE]
Here we also use [9, Prop. 2.2.4]. Interpolation and an analogous argument for in then allows us to conclude (B.2). Assertion (B.3) is shown in the same way, with instead of in the upper bound. For (B.4), we compute
[TABLE]
as before. The last term is bounded via
[TABLE]
again by Young’s inequality. Similarly, the term is estimated in . The above reasoning also shows (B.5) if we choose the constant suitably. In order to prove (B.6), similarly as above we compute
[TABLE]
by the mean value theorem and Young’s inequality. Writing
[TABLE]
we deduce
[TABLE]
The claim (B.6) then follows by interpolation and a proper choice of . Finally the estimate for
[TABLE]
works similarly. ∎
Appendix C Establishing the identity (5.4)
For , and we set
[TABLE]
Observe that . Since we only use the product rule integrated over and strongly in as , we drop the -dependence in in the following calculation.
Let be the solution of (2.1) obtained in Section 5. We compute
[TABLE]
where the second identity follows from . For a fixed time , the regularity of yields the limit
[TABLE]
Here we also used that
[TABLE]
by Gauss’ Theorem. Estimating as in Section 4, we derive
[TABLE]
for and . In the limit it follows
[TABLE]
by dominated convergence. The right-hand side is continuous in , and hence the highest derivatives are continuous, since we already know their weak continuity. Finally, summing over and estimating as in Section 4, we conclude the blow-up criterion from (1.8) for the solution .
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