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Abstract
Given an ∞-harmonic function on a domain
consider the function
If
with
and
then it is easy to check that
the streamlines of
are the level sets of w and
w solves the level set formulation of the inverse mean curvature flow.
For less regular solutions, neither statement is true in general, but even so, w is still a weak solution of the inverse mean curvature flow under far weaker assumptions. This is proved through an approximation of by p-harmonic functions, the use of conjugate
-harmonic functions, and the known connection of the latter with the inverse mean curvature flow. A statement about the regularity of
arises as a by-product.
1. Introduction
Let be an open set. A function
is called ∞-harmonic if it is a viscosity solution of the Aronsson equation
(1)
(1)
This equation was introduced by Aronsson [Citation1, Citation2], motivated by optimal Lipschitz extensions of the boundary data, and has been studied extensively since then. Highlights of the theory include existence [Citation3] and uniqueness [Citation4] of solutions for boundary value problems associated to Equation(1)(1)
(1) , regularity results [Citation5, Citation6], and connections to stochastic tug-of-war games [Citation7].
For EquationEq. Equation(1)
(1)
(1)
(1)
(1) may alternatively be represented as
It is then obvious that the function is constant along the streamlines of
i.e., along the curves in Ω arising through the solutions of the ordinary differential equation
This is one of the reasons why the streamlines of an ∞-harmonic function are of particular interest and have received some attention in the literature [Citation2, Citation8, Citation9]. In general, however, viscosity solutions of Equation(1)
(1)
(1) are not C2-regular. It was shown by Evans and Savin [Citation5] that they are of class
for some
As the example
of Aronsson [Citation10] shows, no exponent better than
can be expected. Nevertheless, at least in an annular domain with boundary values 0 and 1, respectively, on the two boundary components, it was shown by Lindgren and Lindqvist [Citation8, Citation9] that
is constant along streamlines that are generic in some sense. There is also a weaker statement that is true in general (see, e.g., the description by Crandall [Citation11, Section 6]).
If is a solution of Equation(1)
(1)
(1) with
and
then we also conclude that
where we write
Hence, the function
satisfies
The equation
(2)
(2)
has a geometric interpretation: it is the level set formulation of the inverse mean curvature flow.
The inverse mean curvature flow is an evolution equation for hypersurfaces. It is often studied on a Riemannian manifold, but we explain it here for an open set Consider an oriented
-dimensional manifold N and a smooth map
such that
is an immersed hypersurface for every
Suppose that
is a smooth map such that
is a normal vector field on
for every t, and let
be the function such that
is the corresponding (scalar) mean curvature of Nt. We say that
is a classical solution of the inverse mean curvature flow if
(3)
(3)
in
This is a parabolic equation, so we may hope to solve it for a prescribed initial hypersurface N0 under suitable boundary conditions. But this is not always possible, either because H has zeroes at t = 0 or because singularities develop in finite time. For this reason, a weak notion of solutions was proposed by Huisken and Ilmanen [Citation12], based on a level set formulation. The underlying idea is to look for a function
such that
As long as w is sufficiently smooth and
EquationEq. Equation(3)
(3)
(3)
(3)
(3) is equivalent to Equation(2)
(2)
(2) .
EquationEquation Equation(2)(2)
(2)
(2)
(2) , however, allows a weak interpretation as well. Huisken and Ilmanen use a variational principle for this purpose. In this paper, we use a different formulation, which is more convenient for our main results and perhaps more intuitive, too. We will see in Section 5, however, that the following condition implies that w is a weak solution in the sense of Huisken and Ilmanen, as long as we impose enough regularity such that the latter makes sense.
Definition 1.
A function is called a weak solution of Equation(2)
(2)
(2) if there exists a measurable vector field
such that
and
almost everywhere in Ω, and
weakly in Ω.
By the last condition, we mean that
for all
We now restrict our attention to n = 2 again. For EquationEq. Equation(2)
(2)
(2)
(2)
(2) means that the level sets of
move by the inverse mean curvature flow. Furthermore, if
with
and
as assumed for the above calculations, then the level sets of
are the streamlines of
We study the question to what extent these observations persist when we remove the regularity assumptions. It is not true in general that viscosity solutions of Equation(1)(1)
(1) give rise even to weak solutions of Equation(2)
(2)
(2) . The function
provides a counterexample here, too. In this case, as
almost everywhere, there is only one possible choice for the vector field F from Definition 1. We can then check that Equation(2)
(2)
(2) does not hold on the coordinate axes. By contrast, the function
for a constant
may appear an unlikely candidate for the inverse mean curvature flow. Its streamlines are straight lines and the curvature vanishes identically. But in the formulation of Definition 1 (and also in the formulation of Huisken and Ilmanen [Citation12]), the inverse mean curvature flow can deal with this situation. It is easily seen that any constant function is a weak solution of Equation(2)
(2)
(2) .
If then the level sets are not hypersurfaces in general. We may, for example, have a certain value t0 such that the sets
evolve smoothly for
and for
but
has a non-empty interior. Then we have a jump in Nt at the time t0. This is indeed the typical way in which the weak inverse mean curvature flow resolves singularities.
In this paper, we will establish that does solve Equation(2)
(2)
(2) weakly under an additional assumption, which is based on the idea that the function
is monotone along the level sets of
This induces a sense of direction on the level sets and, by comparison with
an orientation of
Writing
for the open disc in
with centre x and radius r, we can formalise this notion as follows.
Definition 2.
Let with
everywhere. For
an orientation of
in G is a continuous function
such that for any
there exists r > 0 with the following property: for all
if
and
then
For example, the function has no orientation in
but does have an orientation in
which is
More generally, if
is ∞-harmonic with
and
then
has an orientation in Ω. In this case, we may consider the basis of
given by the pair of vectors
at any point
We set
if this basis gives the standard orientation and
otherwise. Then we can check that the conditions of the definition are satisfied.
It is also possible to have an orientation when For example, if
is constant, then we may choose ω constant (of either value). This applies, e.g., to the function
or to the function
with
Theorem 3.
Let be an ∞-harmonic function with
in Ω. Suppose that ω is an orientation of
in Ω. Then
belongs to
for all
and satisfies
(4)
(4) almost everywhere and
(5)
(5) weakly in Ω. Hence the function
is a weak solution of Equation(2)
(2)
(2) .
Note that the condition is satisfied automatically for viscosity solutions of Equation(1)
(1)
(1) by the results of Evans and Savin [Citation5]. The condition that
and the existence of an orientation, however, are additional assumptions.
EquationEquation Equation(4)(4)
(4)
(4)
(4) may be regarded as another representation of the Aronsson Equationequation Equation(1)
(1)
(1)
(1)
(1) . EquationEquation Equation(5)
(5)
(5)
(5)
(5) , on the other hand, provides additional information about the behaviour of the solutions.
It is already known from work of Koch, Zhang, and Zhou [Citation13] that This result applies to all viscosity solutions of Equation(1)
(1)
(1) and does not require any additional assumptions. Theorem 3 improves this regularity to
for any
but only if
and if there is an orientation. As discussed in the aforementioned paper, so much regularity cannot be expected in general. A counterexample is given by the previously considered function
Nevertheless, the regularity statement from Theorem 3 can be improved somewhat.
Theorem 4.
Let be an ∞-harmonic function with
in Ω. Let
be an open set and
. Suppose that ω is an orientation of
in
. Suppose further that for every
there exist r > 0 and a Lipschitz function
such that
Let be an open set with
. Then
for every
In less technical terms, we require that is non-decreasing if we travel along a level set of
inside G towards Γ. There is no such restriction outside of Γ. In some cases, when
has local maxima on Γ, it may be possible to apply the theorem on the other side of Γ as well with the opposite orientation. Even then, however, it does not follow that
will satisfy EquationEq. Equation(2)
(2)
(2)
(2)
(2) on Γ.
The assumption that f is Lipschitz continuous is stronger than necessary; we use it for the sake of a simpler statement. A weaker assumption is used in Proposition 5 below.
Clearly we need some prior information about the behaviour of before we can apply a result such as this. Such information is available, for example, for the ∞-harmonic functions studied by Lindgren and Lindqvist [Citation8, Citation9]. Combining their results with Theorem 4, we see that under the assumptions of the second paper [Citation9], we have local
-regularity of
for all
away from what Lindgren and Lindqvist call the attracting streamlines.
The main purpose of this paper, however, is not to provide regularity results, but to explore the relationship between ∞-harmonic functions and the inverse mean curvature flow. It seems that this has not been discussed in the literature before even in the smooth case, although some related calculations are present in the work of Aronsson [Citation2] and Evans [Citation14]. The proof of Theorem 3 shows that the connection is in fact deeper than the simple calculations at the beginning of the introduction suggest. The arguments are based on the following ideas, explained here for when Ω is a simply connected domain with Lipschitz boundary.
According to the results of Jensen [Citation4], an ∞-harmonic function can be approximated by p-harmonic functions. For let therefore up denote the unique minimiser of the functional
in the space
Then it satisfies the p-Laplace equation
We use the notation for the p-Laplace operator; then we can write this equation in the form
We eventually consider the limit but for the moment we fix
Let
be its conjugate exponent with
Then we note that
Hence there exists
satisfying
Then we compute Therefore,
Thus we have the same sort of equation, but we can now consider the limit The duality between these two problems has been exploited for different purposes before [Citation15, Citation16], but the consequences for the limit behaviour have never been studied in detail, perhaps because swapping
for
does not seem helpful superficially. Here, however, is where the inverse mean curvature flow and its
-approximation come into play.
Set Then we compute
EquationEquation Equation(2)(2)
(2)
(2)
(2) arises as the formal limit as
This connection between
-harmonic functions and the inverse mean curvature flow has been used before to construct weak solutions of the latter [Citation17–20]. In the context of ∞-harmonic functions, the advantage of this transformation is that it removes some of the degenerate behaviour that arises for vp in the limit.
Next we use some tools developed for the inverse mean curvature flow [Citation18, Citation20] to show that we have at least a sequence such that
converges weakly in
for any
to a weak solution w of Equation(2)
(2)
(2) . Then we can reverse the above transformations to see what this means for
We compute
The left-hand side, at least if restricted to a certain subsequence, will converge weakly in for every
to a vector field F, and we will eventually see that F satisfies the conditions from Definition 1. The right-hand side converges to
At almost every point
such that
we conclude that
and at such a point we therefore recover the relationship
and also EquationEqs. Equation(4)
(4)
(4)
(4)
(4) and Equation(5)
(5)
(5) .
But it is possible that vanishes, and this is indeed expected for situations such as when
is constant. In this case, we need much better information about the functions wp, and this is the most intricate part of the proof. We do not go into the details here, but because of the technical difficulties arising when
we will first consider a small neighbourhood of a given point where
is approximately constant. As a consequence, we need to show at the end of the proof that a local weak solution of the inverse mean curvature flow gives rise to a global weak solution. This is the main reason why we favour Definition 1 over the definition of Huisken and Ilmanen [Citation12]. At least in the presence of EquationEqs. Equation(4)
(4)
(4)
(4)
(4) and Equation(5)
(5)
(5) , this step turns out to be quite straightforward.
This strategy resembles some arguments that have been used for several higher order variational problems related to the Aronsson equation [Citation21–25]. These papers study minimisers of certain functionals involving the -norm. They rely on the idea of approximating the
-norm by the Lp-norm for
studying minimisers of the resulting functionals, and reformulating the Euler-Lagrange equation in a way that removes the expected degeneracy in the limit
so that conclusions about the original problem can be drawn. It is typically quite easy to find bounds for the relevant quantities in the appropriate spaces in this context, but it is necessary and difficult to show that they stay away from 0.
It may seem that the above observations are specific to two-dimensional domains, but they conceivably have a higher-dimensional generalisation—not for the Aronsson Equationequation Equation(1)(1)
(1)
(1)
(1) , but for an analogous problem involving differential forms. Indeed, the relationship between
-harmonic functions and the
-approximation of EquationEq. Equation(2)
(2)
(2)
(2)
(2) exists for any dimension. If d denotes the exterior derivative and
its formal L2-adjoint, then we may write the equation
in the form
Assuming that this is satisfied in a star-shaped domain
it implies that
for some 2-form up on Ω. Moreover, up will satisfy
which is the Euler-Lagrange equation for the functional
This suggests that we study the problem of minimising if we wish to find a connection to the inverse mean curvature flow. (If n = 3, we may alternatively minimise
for vector fields
) Indeed, formal calculations analogous to Aronsson’s [Citation1] lead to the equation
(6)
(6)
(For n = 3, we alternatively have the equation ) But almost nothing is known about this equation; indeed, even the vector-valued optimal Lipschitz extension problem and the Aronsson equation for vector-valued functions
with
are poorly understood despite some existing work on the former by Sheffield and Smart [Citation26] and a series of papers on the latter by Katzourakis [Citation27–32]. In particular, several of the tools for the proof of Theorem 3 are missing in higher dimensions, and we have no results here apart from the following calculations for C2-solutions, which are completely analogous to the above calculations for n = 2.
Suppose that is a 2-form with coefficients in
If
solves Equation(6)
(6)
(6) and satisfies
and
in Ω, then we conclude that
Define Then
As the operator for 1-forms can be identified with the divergence for vector fields, this means that w solves EquationEq. Equation(2)
(2)
(2)
(2)
(2) . Of course it is no longer appropriate to speak of streamlines here. Their higher-dimensional counterparts are the hypersurfaces characterised by the condition that their tangent vectors X satisfy
and using Equation(6)
(6)
(6) we can check that they coincide with the level sets of
Sections 2–4 are devoted to the proofs of Theorem 3 and Theorem 4. Then, in Section 5, we prove that weak solutions of Equation(2)(2)
(2) in the sense of Definition 1 are also weak solutions in the sense of Huisken and Ilmanen [Citation12]. This final section is not essential for the understanding of the main theorems, but it provides a connection with a larger body of literature on the inverse mean curvature flow.
2. Reduction to a local result
As discussed in the introduction, we first consider small neighbourhoods of a given point where
is nearly constant. We may then rescale these neighbourhoods and thereby renormalise
to unit size, using the following observation: if
is a given ∞-harmonic function, then for any
r > 0, and
the rescaled function
is also ∞-harmonic. If
then the transformation preserves the orientation, and if
it reverses the orientation of
(We do not consider the case a = 0.)
The following result should be thought of as a statement about after such a rescaling, chosen such that
becomes the second standard basis vector and the orientation becomes negative. Here and throughout the rest of the paper, we use the notation (e1, e2) for the standard basis of
and we also write
for r > 0.
Proposition 5.
There exists with the following property. Suppose that
is ∞-harmonic with
in
. For
, let
, and suppose that the numbers
satisfy the following condition: for all
, if
, then
. Let
Then there exists such that
and
almost everywhere in
in
, and
the equation
holds weakly in
We give the proof of this result in Section 4 after some auxiliary results in Section 3. But first, we show how Theorem 3 and Theorem 4 follow from Proposition 5.
Proof of Theorem 3.
For any we can choose
r > 0, and
such that Proposition 5 applies to
Since
is monotone along the level sets of
we may choose mt = 1 for every
Hence we obtain a function
satisfying (a)-(c) in
In particular
and it follows that
for every
From the pointwise equations (a) and (b), we obtain
at almost every point where
This amounts to EquationEq. Equation(4)
(4)
(4)
(4)
(4) for
which is trivially satisfied where the gradient vanishes. The combination of (b) and (c) gives Equation(5)
(5)
(5) for
In terms of
this means that there exists a neighbourhood U of x0 such that
for every
and Equation(4)
(4)
(4) holds almost everywhere in U, while Equation(5)
(5)
(5) holds weakly in U.
It follows that and the two equations hold in Ω. Let
For the function we then compute
because of Equation(4)
(4)
(4) , and
because of Equation(5)
(5)
(5) . Thus w is a weak solution of Equation(2)
(2)
(2) . □
Proof of Theorem 4.
For points in G, the arguments in the proof of Theorem 3 apply. For we can still argue similarly. Here we can still choose
r > 0, and
such that the function
satisfies
in
and such that
for some Lipschitz function
with
the Lipschitz constant of which is independent of the rescaling. We define Lt as in Proposition 5 for
If δ is sufficiently small, then each Lt will intersect the graph of f exactly once for every
We choose mt such that the unique point
with
is this intersection point.
The orientation in Theorem 4 is such that is non-decreasing if we approach Γ from inside G. In terms of
this means that
is non-decreasing when we travel along Lt from left to right up to mt. Then the hypothesis of Proposition 5 is satisfied, so we infer
for every
Since
corresponds to a neighbourhood of x0 in
a standard covering argument now implies the desired statement. □
3. Some estimates for p-harmonic functions
In this section we consider solutions of the equation For the proofs of our main results, we require an
-estimate for the gradient away from the boundary. We have the following lemma, which is an easy consequence of estimates due to Bhattacharya, DiBenedetto, and Manfredi [Citation3].
Lemma 6.
There exists a constant C > 0 with the following property. Suppose that is an open set. For
, let
. Let
. Then for any p-harmonic function
provided that
Proof.
Bhattacharya, DiBenedetto, and Manfredi [Citation3, Part III, Proposition 1.1] prove an inequality similar to this, the difference being that they consider a more general equation of the form
(for a function f satisfying a certain growth condition) and that they consequently obtain
If we study the equation instead, then we can apply this result to
instead of u for any constant c > 0. Letting
we obtain the desired inequality. □
We require another estimate for p-harmonic functions. The following result gives an estimate from below for the partial derivative provided that we have a suitable domain and suitable boundary data.
Lemma 7.
Let be two Lipschitz functions with f < g and
. Let
be a Lipschitz function such that
for almost all
and such that there are two numbers
with
when
and
when
. Then the solution
of the boundary value problem
satisfies
in U.
Proof.
Let and write
Extend
to U0 by
when
and
when
Choose a sequence of functions
for
such that
in
as
and such that
when
when
and
Now choose a sequence of domains with smooth boundaries, such that each Uk is of the form
for some smooth functions
with
for
Let be the solution of
Extend uk to U0 by when
and
when
Then the sequence
is clearly bounded in
and we may assume that it converges weakly in this space to a limit
We claim that
in U.
In order to prove this, note that
for any
because uk minimises this quantity for its boundary data. Letting
we find that
Moreover,
as
Therefore,
for any
Furthermore, it is clear that
on
Since the functional
has a unique minimiser in
which is u, we conclude that
The regularity theory of Lieberman [Citation33] shows that Moreover, the function
satisfies the equation
where
and I is the identity matrix. This is a uniformly elliptic equation.
The comparison principle applies to uk and implies that for
Hence
on
On the rest of the inequality is inherited directly from
Applying the maximum principle to
we prove that
in Uk. Then the desired inequality follows for u as well. □
4. Proof of Proposition 5
This section contains the key arguments of this paper.
We first fix and also fix a constant
The values of both will be determined later. (We will require that δ and
are sufficiently small.) We consider an ∞-harmonic function
that satisfies the hypotheses of Proposition 5. We wish to find a function
with the properties (a)-(c). In particular, we wish to show that w is a weak solution of the inverse mean curvature flow.
The function satisfies
Hence the level sets of are Lipschitz graphs with Lipschitz constants bounded by
Let and
Set
Since by the choice of σ, it follows that
For let
be the unique solutions of
Then we apply Lemma 7 to the functions with boundary data given by
This implies that
(7)
(7)
in U. Moreover,
(8)
(8)
as up minimises this quantity among all functions with the same boundary data. Define
Then Lemma 6 implies that
where C is the constant from Lemma 6, provided that p is sufficiently large. In particular, if p is sufficiently large, then
(9)
(9)
Inequalities (Equation7(7)
(7) ) and (Equation9
(9)
(9) ) then imply that
(10)
(10)
in Up.
By Equation(8)(8)
(8) , we have uniform bounds for up in
for any
It therefore follows that a subsequence converges weakly in these spaces. The limit is ∞-harmonic and coincides with
by the uniqueness result of Jensen [Citation4, Corollary 3.14]. This implies that we have in fact the convergence
weakly in
for any
Clearly this convergence also holds uniformly in U. Moreover, we have the following variant of a result by Lindgren and Lindqvist [Citation9].
Lemma 8.
For any precompact set , the convergence
holds uniformly in K.
Proof.
The arguments of Lindgren and Lindqvist [Citation9, Section 3] (which depend to some degree on the ideas of Koch, Zhang, and Zhou [Citation13] and also use an inequality of Lebesgue [Citation34]) can be used here. Although their paper deals with an annular domain and with specific boundary conditions, their reasoning applies more generally to p-harmonic functions in a domain satisfying
in U and
for any
In our case, the first property follows from Equation(7)
(7)
(7) and the second from Equation(9)
(9)
(9) . □
Remark.
Lemma 8 does not imply that Nevertheless, the ideas of Koch, Zhang, and Zhou [Citation13], as adapted by Lindgren and Lindqvist [Citation9], do give convergence almost everywhere. But we do not need this information here.
For let
denote the conjugate exponent with
Since U is simply connected and since
there exists
satisfying
Then we compute Therefore,
in U. Note that the level sets of vp are the streamlines of up. Moreover, Equation(10)
(10)
(10) implies that
(11)
(11)
in Up. That is, the angle between
and e1 is at most
If δ and are sufficiently small, then this means that for every
there exists
such that
for p large enough.
We can further prove the following inequalities for vp. Here we use the notation for
For
we write
Lemma 9.
Let be a C1-curve with
and
. Let
and
. Then for any
and
Proof.
We may approximate λ in the C1-topology with smooth curves. Therefore, we may assume without loss of generality that Let
Define
by
where T > 0 is chosen so small that
(12)
(12)
for all
and
Since
we may further choose T so small that
and
in
We write
and
for
and we set
(I.e.,
)
Now note that for p sufficiently large and T sufficiently small. Hence
by Equation(10)
(10)
(10) and
by Equation(11)
(11)
(11) .
We write for the 1-dimensional Hausdorff measure. Then
(13)
(13)
By Equation(12)(12)
(12) and Lemma 8, if p is sufficiently large, then
If it follows that
Letting and
we obtain the first inequality.
We can also estimate
(14)
(14)
Since uniformly, for p sufficiently large we have the inequality
Moreover, by Equation(12)(12)
(12) and because
by the assumptions on λ, we know that
Thus
(15)
(15)
Recall that
according to Equation(13)
(13)
(13) . We also know that
Therefore, combining the above inequalities (Equation14
(14)
(14) ) and (Equation15
(15)
(15) ), we obtain
Thus if then
Since was chosen arbitrarily, the second inequality follows. □
Now fix a constant Since we may add arbitrary constants to vp without changing the properties used, we may assume that
for every
In view of inequality (Equation11
(11)
(11) ) and the considerations immediately following it, if δ and
are sufficiently small and p is sufficiently large, then
in
and
in
In particular, the functions
are well-defined and satisfy
at least in
We observe that
(16)
(16)
wherever wp is defined. Thus for any
with
Hence
This means that is uniformly bounded for any precompact set
We apply Lemma 9 to for
We already know that
The first inequality in Lemma 9 then gives the estimate
for p sufficiently large. Using Equation(11)
(11)
(11) again, we conclude that
in
It follows that wp is uniformly bounded in
A result from the theory of the inverse mean curvature flow [Citation20, Proposition 2.1] implies that for any we have the inequality
for any
provided that p is sufficiently large. Because wp is uniformly bounded in
the factor
is also uniformly bounded and bounded away from 0. We can then iterate this inequality and obtain a uniform bound for
for any precompact
and any
Therefore, there exists a sequence
such that
weakly in
for some function
By Morrey’s inequality and the Arzelà-Ascoli theorem, the convergence is also locally uniform and w is continuous.
Lemma 10.
Let be a solution of the equation
for
. Let
and
. If
and
, then
Proof.
Set We apply Lemma 9 with
Then
Let It follows that for p sufficiently large,
and therefore,
Since it follows that
Since w is continuous, we obtain the first estimate by letting and
For the proof of the second inequality, we apply Lemma 9 to the restriction of λ to where
is chosen such that
and
Then
Note that by the above observations. Hence for p large enough,
and
The same inequality follows for w. Again we conclude the proof by letting and
□
Under the assumptions of Proposition 5, the level sets Lt of can be parametrised by curves λ as in Lemma 10. Considering the monotonicity of
along these level sets, it follows that
if
Furthermore, if δ is sufficiently small, then any Lt that intersects
will also intersect
Thus Lemma 10 implies that
in
which is statement (b).
Next we have a closer look at EquationEq. Equation(16)(16)
(16)
(16)
(16) and study what it means for the limit. We define
so we can write
(17)
(17)
For any and any precompact set
we have the inequality
Hence
Therefore, we may assume that weakly in
for every
Moreover,
That is, we have the inequality almost everywhere in
We also observe that by the definition of wp,
As weakly in
and
locally uniformly in
this implies that
It follows that
Lemma 11.
For any
Proof.
The following arguments are known [Citation18, p. 82], but are repeated here for the reader’s convenience.
We first show that for any compact set and any function
with f = wp in
the inequality
(18)
(18)
holds true. Indeed, using Equation(16)
(16)
(16) , an integration by parts, and Young’s inequality, we compute
Now given with
we set
and use Equation(18)
(18)
(18) . Then
(In the last step, we have used Hölder’s inequality for the counting measure.) Letting (and therefore
), we find that
As we already know that weakly in
the desired convergence follows when
It is then easy to prove in general. □
Using Lemma 11, we see that Equation(17)(17)
(17) gives rise to
in
which amounts to statement (c). Testing this equation with
we find that
for any
Therefore,
almost everywhere in
Thus we have proved statement (a) as well.
5. Weak solutions of the inverse mean curvature flow
The study of weak solutions of the inverse mean curvature flow goes back to a seminal paper of Huisken and Ilmanen [Citation12], where they are defined in terms of a variational condition. EquationEquation Equation(2)(2)
(2)
(2)
(2) is not actually variational, but Huisken and Ilmanen get around that problem by asking that a function w minimise a functional depending on w itself. They work with local Lipschitz functions, but the same ideas make sense for functions
According to their definition, w is a weak solution of Equation(2)
(2)
(2) if
(19)
(19)
for every precompact set
and every
with
in
The same paper also proves a number of properties implied by this condition, including a comparison principle, a resulting uniqueness theorem, and a minimising hull property for the sublevel sets. Despite some technical differences, many of the underlying ideas will apply to the situation discussed in the introduction, too. It is therefore useful to know that the condition from Definition 1 implies inequality Equation(19)(19)
(19) , provided that
Proposition 12.
Suppose that is a weak solution of Equation(2)
(2)
(2) in the sense of Definition 1. Then for every
and every
with
in
, inequality (Citation19) holds true.
Proof.
Let be a vector field satisfying
and
almost everywhere in Ω and
weakly. Then for almost every
either
or
Let be a precompact set and let
with
in
Then
almost everywhere. It follows that
Rearranging the terms, we obtain inequality (Equation19(19)
(19) ). □
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