Regularity Bootstrapping For Fourth Order Non Linear Elliptic Equations
Arunima Bhattacharya, Micah Warren

TL;DR
This paper establishes interior derivative estimates for solutions of certain nonlinear fourth order elliptic equations of double divergence type, where the nonlinearity depends on the Hessian, enhancing understanding of their regularity.
Contribution
It introduces regularity results for solutions of nonlinear fourth order elliptic equations with Hessian-dependent nonlinearities, expanding the theory of higher-order elliptic PDEs.
Findings
Solutions in C^{2,alpha} have interior estimates on all derivatives.
The results apply to a specific class of double divergence type equations.
Regularity theory is extended for Hessian-dependent nonlinearities.
Abstract
We consider nonlinear fourth order elliptic equations of double divergence type. We show that for a certain class of equations where the nonlinearity is in the Hessian, solutions that are C^{2,alpha} enjoy interior estimates on all derivatives.
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Regularity bootstrapping for fourth order nonlinear elliptic equations
Arunima Bhattacharya AND Micah Warren
Abstract.
We consider nonlinear fourth order elliptic equations of double divergence type. We show that for a certain class of equations where the nonlinearity is in the Hessian, solutions that are enjoy interior estimates on all derivatives.
1. Introduction
In this paper, we develop Schauder and bootstrapping theory for solutions to fourth order non linear elliptic equations of the following double divergence form
[TABLE]
in For the Schauder theory, we require the standard Legendre-Hadamard ellipticity condition,
[TABLE]
while in order to bootstrap, we will require the following condition:
[TABLE]
satisfies
[TABLE]
Our main result is the following: Suppose that conditions (1.1) and (1.4) are met on some open set (space of symmetric matrices). If is a solution with , then is smooth on the interior of the domain
One example of such an equation is the Hamiltonian Stationary Lagrangian equation, which governs Lagrangian surfaces that minimize the area functional
[TABLE]
among potential functions (cf. [Oh93], [SW03, Proposition 2.2]). The minimizer satisfies a fourth order equation, that, when smooth, can be factored into a a Laplace type operator on a nonlinear quantity. Recently in [CW16], it is shown that a solution is smooth. The results in [CW16] are the combination of an initial regularity boost, followed by applications of the second order Schauder theory as in [CC95].
More generally, for a functional on the space of matrices, one may consider a functional of the form
[TABLE]
The Euler-Lagrange equation will generically be of the following double-divergence type:
[TABLE]
Equation (1.6) need not factor into second order operators, so it may be genuinely a fourth order double-divergence elliptic type equation. It should be noted that in general, (1.6) need not take the form of (1.1). It does when can be written as a function of (as for example (1.5)). Our results in this paper apply to a class of Euler-Lagrange equations arising from such functionals. In particular, we will show that if is a convex function of and a function of (such as 1.5 when ) then solutions will be smooth.
The Schauder Theory for second order divergence and non-divergence type elliptic equations is by now well-developed, see [HL11] , [GT01] and [CC95]. For higher order non-divergence equations, Schauder theory is available, see [Sim97]. However, for higher order equations in divergence form, much less is known. One expects the results to be different: For second order equations, solutions to divergence type equations with coefficients are known to be , [HL11, Theorem 3.13], whereas for non-divergence equations, solutions will be [GT01, Chapter 6]. Recently, Dong and Zhang [DZ15] have obtained general Schauder theory results for parabolic equations (of order ) in divergence form, where the time coefficients are allowed to be merely measurable. Their proof (like ours) is in the spirit of Campanato techniques, but requires smooth initial conditions. Our result is aimed at showing that weak solutions are in fact smooth. Classical Schauder theory for general systems has been developed, [MJ09, Chapter 5,6 ]. However, it is non-trivial to apply the general classical results to obtain the result we are after. Even so, it is useful to focus on a specific class of fourth order double-divergence operators, and offer random access to the non-linear Schauder theory for these cases. Regularity for fourth order equations remains an important developing area of geometric analysis.
Our proof goes as follows: We start with a solution of (1.1) whose coefficient matrix is a smooth function of the Hessian of We first prove that by taking a difference quotient of (1.1) and give a estimate of in terms of its norm. Again by taking difference a quotient and using the fact that now we prove that .
Next, we make a more general proposition where we prove a estimate for satisfying a uniformly elliptic equation of the form
[TABLE]
in where and is a test function in . Using the fact that we prove that and also derive a estimate of in terms of its norm. Finally, using difference quotients and dominated convergence, we achieve all higher orders of regularity.
Definition 1.1**.**
We say an equation of the form (1.1) is regular on when the coefficients of the equation satisfy the following conditions on :
1. The coefficients depend smoothly on .
2.The coefficients satisfy (1.2).
3.Either or (given by (1.3)) satisfy (1.4).
The following is our main result.
Theorem 1.2**.**
Suppose that satisfies the following fourth order equation
[TABLE]
If is regular on an open set containing then is smooth on for .
To prove this, we will need the following two Schauder type estimates.
Proposition 1.3**.**
Suppose satisfies the following
[TABLE]
where and satisfies (1.2). Then and
[TABLE]
Proposition 1.4**.**
Suppose satisfies (1.7) in where and satisfies (1.2).Then we have with
[TABLE]
and is a positive constant.
We note that the above estimates are appropriately scaling invariant: Thus we can use these to obtain interior estimates for a solution in the interior of any sized domain.
2. Preliminaries
We begin by considering a constant coefficient double divergence equation.
Theorem 2.1**.**
Suppose satisfies the constant coefficient equation
[TABLE]
Then for any there holds
[TABLE]
Here is the average value of on a ball of radius .
Proof.
By dilation we may consider . We restrict our consideration to the range noting that the statement is trivial for where is some constant in
First, we note that is smooth [Dri03, Theorem 33.10]. Recall [DK11, Lemma 2, Section 4, applied to elliptic case] : For an elliptic th order
[TABLE]
We may apply this to the second derivatives of to conclude that
[TABLE]
For small enough Now
[TABLE]
Similarly
[TABLE]
Next, observe that (2.1) is purely fourth order, so the equation still holds when a second order polynomial is added to the solution. In particular, we may choose
[TABLE]
for also satisfying the equation. Then
[TABLE]
so
[TABLE]
We conclude from (2.4) and (2.3)
[TABLE]
∎
Next, we have a corollary to the above theorem.
Corollary 2.2**.**
Suppose is as in the Theorem 2.1. Then for any and for any there holds
[TABLE]
and
[TABLE]
Proof.
Let Then (2.5) follows from direct computation:
[TABLE]
Similarly
[TABLE]
The statement follows, noting that ∎
We will be using the following Lemma frequently, so we state it here for the reader’s convenience.
Lemma 2.3**.**
[HL11, Lemma 3.4]**. Let be a nonnegative and nondecreasing function on Suppose that
[TABLE]
for any with nonnegative constants and Then for any there exists a constant such that if we have for all
[TABLE]
where is a positive constant depending on In particular, we have for any
[TABLE]
3. Proofs of the propositions
We begin by proving Proposition 1.3.
Proof.
By approximation, (1.7) holds holds for We are assuming that , so (1.7) must hold for the test function
[TABLE]
where is a cutoff function in that is on , and the subscript refers to taking difference quotient in the direction. We choose small enough after having fixed , so that is well defined. We have
[TABLE]
For small we can integrate by parts with respect to the difference quotient to get
[TABLE]
Using the product rule for difference quotients we get
[TABLE]
Letting differentiating the second factor gives:
[TABLE]
from which
[TABLE]
First we bound the terms on the right side of (3.3). Starting at the top:
[TABLE]
Next, by Young’s inequality we have:
[TABLE]
and also
[TABLE]
Now by uniform ellipticity (1.2), the left hand side of (3.3) is bounded below by
[TABLE]
Combining all (3.3), (3.7) ,(3.9) , (3.8) and (3.10) and choosing appropriately, we get
[TABLE]
Now this estimate is uniform in and direction so we conclude that the difference quotients of are uniformly bounded in . Hence and
[TABLE]
∎
We now prove Proposition 1.4
Proof.
We begin by taking a difference quotient of the equation
[TABLE]
along the direction . This gives
[TABLE]
which gives us the following PDE in
[TABLE]
where
[TABLE]
Note that and is still an elliptic term for all in For compactness of notation we denote
[TABLE]
and replace with as the difference is immaterial. Our equation reduces to
[TABLE]
Using integration by parts we have
[TABLE]
Now for each fixed we write where satisfies the following constant coefficient PDE on
[TABLE]
By the Lax Milgram Theorem the above PDE with the given boundary condition has a unique solution. By combining (3.12) and (3.13) we conclude
[TABLE]
Now is smooth (again see [Dri03, Theorem 33.10]), and is so is and can be well approximated by smooth test functions in It follows that can be used as a test function in (3.14): On the left hand side we have by (1.2)
[TABLE]
Defining
[TABLE]
and using the Cauchy-Schwarz inequality we get
[TABLE]
Using Holder’s inequality
[TABLE]
This gives us
[TABLE]
which implies
[TABLE]
Using corollary 2.2 for any we get
[TABLE]
Now combing (3.17) and (3.16) we get
[TABLE]
Also from Corollary 2.2
[TABLE]
Because we have from (3.15) that
[TABLE]
Again is a function which implies
[TABLE]
and
[TABLE]
So we have
[TABLE]
For to be determined, we have (3.18)
[TABLE]
Where is some positive number. Now we apply [HL11, Lemma 3.4]. In particular, take
[TABLE]
There exists such that if
[TABLE]
we have
[TABLE]
and the conclusion of [HL11, Lemma 3.4] says that for
[TABLE]
This depends on which is chosen by (3.21) and . So there is a positive uniform radius upon which this holds for points well in the interior. In particular, we choose so that the estimate can be applied uniformly at points centered in whose balls remain in . Turning back to (3.20), we now have,
[TABLE]
Again we apply [HL11, Lemma 3.4]: This time, take
[TABLE]
and conclude that for any
[TABLE]
with depending on , etc. It follows by [HL11, Theorem 3.1] that in particular, must be bounded locally:
[TABLE]
This allows us to bound
[TABLE]
which we can plug back in to (3.20):
[TABLE]
This is precisely the hypothesis in [HL11, Theorem 3.1]. We conclude that
[TABLE]
Recalling (3.11) we see that must enjoy uniform estimates on the interior, and the result follows. ∎
4. Proof of the Theorem
The propositions in the previous section allow us to prove the following Corollary, from which the Main Theorem will follow.
Corollary 4.1**.**
Suppose , and satisfies the following regular (recall (1.3)) fourth order equation
[TABLE]
Then
[TABLE]
In particular
[TABLE]
Case 1 The function and hence also in . By approximation (1.1) holds for in particular, for
[TABLE]
where is a cut off function in that is on , and superscript refers to the difference quotient. As before, we have chosen small enough (depending on ) so that is well defined . We have
[TABLE]
Integrating by parts as before with respect to the difference quotient, we get
[TABLE]
Let . Observe that the first difference quotient can be expressed as
[TABLE]
We get
[TABLE]
where
[TABLE]
Expanding derivatives of the second factor in (4.2) and collecting terms gives us
[TABLE]
Now for small, very closely approximates so we may assume is small. Applying (1.4)) and Young’s inequality
[TABLE]
That is
[TABLE]
Now this estimate is uniform in (for small enough) and direction so we conclude that the derivatives are in This also shows that
[TABLE]
Remark : We only used uniform continuity of to allow us to take the limit, but we did require the precise modulus of continuity.
For the next step, we are not quite able to use Proposition 1.4 because the coefficients are only known to be . So we proceed by hand.
We begin by taking a single difference quotient
[TABLE]
and arriving at the equation in the same fashion as to (4.2) above (this time letting ) we have
[TABLE]
Inspecting (4.3) we see that is
[TABLE]
where depends on and on bounds of and As in the proof of Proposition 1.4, for a fixed we let solve the boundary value problem
[TABLE]
Let Note that
[TABLE]
Now vanishes to second order on the boundary, and we may use as a test function. We get
[TABLE]
As before,
[TABLE]
Defining
[TABLE]
then
[TABLE]
So now we have :
[TABLE]
Using Corollary 2.2, for any we get
[TABLE]
Also by Corollary 2.2
[TABLE]
This implies
[TABLE]
Now we can apply [HL11, Lemma 3.4] again, this time with
[TABLE]
There exists a constant such that by chosing
[TABLE]
we may conclude that for
[TABLE]
Next, for small we have combining (4.5) (4.4) and (4.6)
[TABLE]
with depending on . Again, we apply [HL11, Theorem 3.1] to From here, the argument is identical to the argument following (3.22). We conclude that
[TABLE]
Substituting we see that must enjoy uniform estimates on the interior, and the result follows.
Case 2 We may take a difference quotient of (1.1) directly.
[TABLE]
(To be more clear we, are using a slightly offset test function and then using a change of variables, subtracting, and dividing by )
We get
[TABLE]
where and . Now we are assuming that so the first and second derivatives of the difference quotient will converge to the second and third derivatives, uniformly. We can then apply dominated convergence, passing the limit as inside the integral and recalling as before, we obtain
[TABLE]
that is
[TABLE]
It follows that satisfies a fourth order double divergence equation, with coefficients in First, we apply Proposition 1.3 :
[TABLE]
In particular, Next, we apply 1.4
[TABLE]
We conclude that for any
**Case 3 ** . Let for some multindex with Observe that taking the first difference quotient and then taking a limit yields (4.8), when Now if we may take a difference quotient and limit of (4.8) to obtain
[TABLE]
and if , then , so we may take difference quotients to obtain
[TABLE]
where
[TABLE]
One can check by applying the chain rule repeatedly that is So we may apply Proposition 1.3 to (4.9) and obtain that
[TABLE]
that is
[TABLE]
Now apply Proposition 1.4:
[TABLE]
that is
[TABLE]
The Main Theorem follows.
5. Critical Points of Convex Functions of the Hessian
Suppose that is either a convex or a concave function of and we have found a critical point of
[TABLE]
for some where we are restricting to compactly supported variations, so the that Euler-Lagrange equation is (1.6). If we suppose that also has the additional structure condition,
[TABLE]
for a some satisfying (1.2), then we can derive smoothness from as follows.
Corollary 5.1**.**
Suppose is critical point of (5.1), where is a smooth function satisfying (5.2) with satisfying (1.2) and F is uniformly convex or uniformly concave on where is the range of in the Hessian space.
Then , for all
Proof.
If is a critical point of (5.1), then it satisfies the weak equation (1.1), for in (5.2). To apply the main Theorem, all we need to show is that
[TABLE]
[TABLE]
So
[TABLE]
for some , because is convex. If is concave, is still a critical point of and the same argument holds. ∎
We mention one special case.
Lemma 5.2**.**
Suppose where Then
[TABLE]
Proof.
Let
[TABLE]
Then
[TABLE]
This shows (5.4) for
[TABLE]
∎
The reference list from the paper itself. Each links out to its DOI / PubMed record.
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- 3[DK 11] Hongjie Dong and Doyoon Kim, On the lp-solvability of higher order parabolic and elliptic systems with bmo coefficients , Archive for Rational Mechanics and Analysis 199 (2011), no. 3, 889–941.
- 4[Dri 03] Bruce. Driver, Analysis tools with applications , 2003.
- 5[DZ 15] Hongjie Dong and Hong Zhang, Schauder estimates for higher-order parabolic systems with time irregular coefficients , Calc. Var. Partial Differential Equations 54 (2015), no. 1, 47–74. MR 3385152
- 6[GT 01] David Gilbarg and Neil S. Trudinger, Elliptic partial differential equations of second order , Classics in Mathematics, Springer-Verlag, Berlin, 2001, Reprint of the 1998 edition. MR 1814364
- 7[HL 11] Qing Han and Fanghua Lin, Elliptic partial differential equations , second ed., Courant Lecture Notes in Mathematics, vol. 1, Courant Institute of Mathematical Sciences, New York; American Mathematical Society, Providence, RI, 2011. MR 2777537
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