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Regularity of optimal mapping between hypercubes

  • Shibing Chen EMAIL logo , Jiakun Liu and Xu-Jia Wang
Published/Copyright: September 19, 2023

Abstract

In this note, we establish the global C 3 , α regularity for potential functions in optimal transportation between hypercubes in R n for n 3 . When n = 2 , the result was proved by Jhaveri. The C 3 , α regularity is also optimal due to a counterexample in the study by Jhaveri.

MSC 2010: 35J96; 35J25; 35B65

1 Introduction

Let Ω , Ω * be two bounded domains in R n . Assume that ρ , ρ * are two positive density functions supported on Ω , Ω * , respectively, and satisfy the balance condition ρ L 1 ( Ω ) = ρ * L 1 ( Ω * ) . The optimal mapping T : Ω Ω * is the minimiser of the functional

C ( s ) = Ω 1 2 x s ( x ) 2 ρ ( x ) d x

among all measure-preserving maps s : Ω Ω * such that s # ρ = ρ * , [15,20,21].

In [2], Brenier obtained the existence and uniqueness of the optimal mapping T that is the gradient of a convex function u , which is called potential function and satisfies a natural boundary condition of the Monge-Ampère equation:

(1.1) det D 2 u = ρ ρ * D u in Ω , D u ( Ω ) = Ω * .

Regularity of the optimal mapping T (equivalently, of the potential function u ) is a fundamental problem in the theory of optimal transportation. For interior regularities, C 1 , α , W 2 , p , and C 2 , α estimates for u have been obtained by Caffarelli [3,4] under appropriate assumptions. For regularity near the boundary, if Ω , Ω * are smooth, uniformly convex, and ρ , ρ * > 0 are smooth, Delanoë [10] and Urbas [19] proved that u C ( Ω ¯ ) . If Ω , Ω * are C 2 smooth and uniformly convex, and ρ , ρ * are Hölder continuous, Caffarelli [6] proved that D 2 u are Hölder continuous up to the boundary.

In applications such as in machine learning [9], computer vision [1] and computer graphics [16,18], the domains may fail to be uniformly convex or smooth. When the domains Ω , Ω * are convex and the densities ρ , ρ * are bounded from zero and infinity, Caffarelli [5] proved that u C 1 , α ( Ω ¯ ) for some α ( 0 , 1 ) . When Ω , Ω * are C 1 , 1 and convex, recently in [8], we obtained the regularity u C 2 , α ( Ω ¯ ) if ρ , ρ * C α ; and u W 2 , p ( Ω ¯ ) for all p > 1 if ρ , ρ * C 0 . In dimension two, for constant densities, Savin and Yu [17] obtained the global W 2 , p estimate for arbitrary bounded convex domains Ω , Ω * R 2 .

In practice, a typical domain in medical image processing like the magnetic resonance imaging and computed tomography images is the hypercube Q ( 0 , 1 ) n . Optimal transport between the hypercubes was also used by Caffarelli [7] in proving the FKG type inequalities. An interesting question is whether one can obtain higher regularity for this special case. The techniques used in previous works [6,8,10, 19] do not apply to the case when the domain Ω = Q , due to the loss of regularity of Q at the corners. Very recently, Jhaveri constructed a counterexample showing that there exist smooth densities such that T C 2 , α ( Q ¯ ) for every α < 1 but not C 3 ( Q ¯ ) , see [12, Theorem 3.7]. Hence, the best possible regularity one can expect is T C 2 , α ( Q ¯ ) .

By the symmetry of Q , we can make even extensions for the densities. Hence, by Caffarelli’s interior regularity [3,5], we see that for any positive ρ , ρ * C α ( Q ¯ ) satisfying ρ L 1 ( Q ) = ρ * L 1 ( Q ) , the optimal mapping T C 1 , α ( Q ¯ ) [7, Corollary 3]. Moreover, T maps each face of Q to itself correspondingly. In dimension two, by using the partial Legendre transform, Jhaveri [12, Theorem 3.3] proved that if further ρ , ρ * C 1 , α ( Q ¯ ) , then T C 2 , α ( Q ¯ ) .

In this article, we establish the optimal global C 2 , α regularity of T in higher dimensions.

Theorem 1.1

Assume the positive densities ρ , ρ * C 1 , α ( Q ¯ ) for some α ( 0 , 1 ) , and satisfy the balance condition ρ L 1 ( Q ) = ρ * L 1 ( Q ) . Then the optimal mapping T C 2 , α ( Q ¯ ) .

We remark that in dimension two, Jhaveri [12] used the partial Legendre transform to change the Monge-Ampère equation (1.1) to a quasi-linear, uniformly elliptic equation due to the fact u C 2 , α ( Q ¯ ) , then he further obtained u C 3 , α ( Q ¯ ) by an estimate for uniformly elliptic equations. However, this method no longer works when the dimension n > 2 . In higher dimensions, to obtain u C 3 , α ( Q ¯ ) , we shall adopt the result of [13] for the regularity of solutions along a given direction. The proof of Theorem 1.1 is contained in §2. For the Dirichlet problem of the Monge-Ampère equation in convex polygonal domains in R 2 , Le and Savin [14] recently obtained global C 2 , α estimates of solution u by assuming there exists a globally C 2 , convex, strict subsolution.

2 Proof of Theorem

First, we do the following even reflections around the origin. Let Q ˜ ( 1 , 1 ) n ,

(2.1) ρ ˜ ( x ) = ρ ˜ ( x 1 , , x n ) ρ ( x 1 , , x n ) , x Q ˜ ; ρ * ˜ ( y ) = ρ * ˜ ( y 1 , , y n ) ρ * ( y 1 , , y n ) , y Q ˜ .

If ρ , ρ * C α ( Q ¯ ) for some α ( 0 , 1 ) , then ρ ˜ , ρ * ˜ C α ( Q ˜ ¯ ) . By the assumption of Theorem 1.1, we further have ρ ˜ , ρ * ˜ C 0 , 1 ( Q ˜ ¯ ) .

Let u ˜ be the potential function of optimal transportation from ( Q ˜ , ρ ˜ ) to ( Q ˜ , ρ * ˜ ) . By symmetry and the uniqueness of optimal mapping, we see that D u ˜ = D u in Q ¯ . We recall some known regularities as follows:

  1. By Caffarelli’s C 1 , σ regularity [5], we have u ˜ C 1 , σ ( Q ˜ ¯ ) for some σ ( 0 , 1 ) , provided ρ ˜ , ρ * ˜ are positive and bounded.

  2. Furthermore, since ρ ˜ , ρ * ˜ C β ( Q ˜ ¯ ) for all β ( 0 , 1 ) , by the interior regularity [3,4], we have u ˜ C 2 , β ( Q ˜ ) for all β ( 0 , 1 ) , and thus, u C 2 , β ( B 3 4 ( 0 ) Q ¯ ) for all β ( 0 , 1 ) .

  3. By doing the same argument for each corner of Q and using a covering argument, we can obtain u C 2 , β ( Q ¯ ) for all β ( 0 , 1 ) .

Hence, under the assumption of Theorem 1.1 that ρ , ρ * C 1 , α ( Q ¯ ) , for simplicity, we may write (1.1) as follows:

(2.2) det D 2 u = f in Q , D u ( Q ) = Q ,

where f = ρ ρ * D u C 1 , α ( Q ¯ ) . To prove Theorem 1.1, it suffices to prove u C 3 , α ( Q ¯ ) .

By the even reflections (2.1), we have

(2.3) f ˜ ( x ) = f ˜ ( x 1 , , x n ) = f ( x 1 , , x n ) for x Q ˜ .

Similarly, u ˜ satisfies

(2.4) det D 2 u ˜ = f ˜ in Q ˜ , D u ˜ ( Q ˜ ) = Q ˜ .

As mentioned in ( i i ) , by [35], we have

(2.5) u ˜ C 2 , β ( Q ˜ ) for all β ( 0 , 1 ) .

Note that f ˜ C 0 , 1 ( Q ˜ ) but is not C 1 ( Q ˜ ) in general. Denote x = ( x 1 , x ) , where x = ( x 2 , , x n ) . From the definition and symmetry of f ˜ , the partial derivative 1 f ˜ = f ˜ x 1 is well-defined in { x Q ˜ : x 1 0 } . Let’s assign 1 f ˜ = 0 on the interface { x Q ˜ : x 1 = 0 } so that 1 f ˜ is defined in Q ˜ . Let v 1 u ˜ . By (2.5) and approximation, it is easy to see that v W 2 , p ( Q ˜ ) for any p > 1 , and v is a strong solution of

(2.6) i , j = 1 n a i j i j v = 1 f ˜ in Q ˜ ,

where { a i j } is the cofactor matrix of D 2 u ˜ . Let B r = B r ( 0 ) be the ball with radius r and centre at the origin. In B 9 10 Q ˜ , { a i j } is Hölder continuous and uniformly positive definite. In fact, from (2.5) and equation (2.4), there is a positive constant λ > 0 depending on n , u ˜ C 2 ( B 9 10 ) , inf Q ˜ f ˜ such that in B 9 10 ,

(2.7) λ I { a i j } λ 1 I

in the sense of matrix, where I is the n × n identity matrix. Equation (2.6) is satisfied almost everywhere in Q ˜ , [11].

Now we recall a useful partial directional regularity result from [13]. We say a function h L ( Ω ) is C α in x = ( x 2 , , x n ) for some α ( 0 , 1 ) , if

h ( x + τ ) h ( x ) C τ α τ span { e 2 , , e n } such that x , x + τ Ω ,

where C > 0 is a constant, and denote

h C x α ( Ω ) h L ( Ω ) + sup ( x 1 , x ) ( x 1 , y ) Ω h ( x 1 , x ) h ( x 1 , y ) x y α .

Lemma 2.1

(A corollary of [13, Theorem 1.4]) Let w W 2 , n ( B 1 ) be a strong solution of

i , j = 1 n b i j i j w = h ,

where the coefficients b i j C β ( B 1 ) for all β ( 0 , 1 ) and satisfy (2.7). Suppose that h is Hölder continuous in x and h C x α ( B 1 ) < for some α ( 0 , 1 ) . Then i j w is Hölder continuous for all i = 1 , , n ; j = 2 , , n and

i j w C α ( B 1 2 ) C i = 1 , , n ; j = 2 , , n ,

where the constant C depends on n , λ , h C x α ( B 1 ) , and w L ( B 1 ) .

Proof of Theorem 1.1

To apply Lemma 2.1 to equation (2.6), we claim that 1 f ˜ is C α -continuous in x for the same α ( 0 , 1 ) as in the assumption of Theorem 1.1. To see this, let e R n 1 be a unit vector, ε > 0 such that x = ( x 1 , x ) , x ε = ( x 1 , x + ε e ) Q ˜ . It suffices to show

(2.8) 1 f ˜ ( x ) 1 f ˜ ( x ε ) C ε α .

By our definition of 1 f ˜ , if x 1 = 0 , then (2.8) trivially holds since 1 f ˜ ( x ) = 1 f ˜ ( x ε ) = 0 . So, by symmetry, we can assume x 1 > 0 .

Define the reflection points

x ˆ ( x 1 , x 2 , , x n ) , x ˆ ε ( x 1 , x 2 + ε e 2 , , x n + ε e n ) ,

where e is expressed as e = ( e 2 , , e n ) , so that x ˆ , x ˆ ε Q ¯ . Since x 1 > 0 , we have

1 f ˜ ( x ) = 1 f ( x ˆ ) and 1 f ˜ ( x ε ) = 1 f ( x ˆ ε ) .

Hence, by the triangle inequality and the fact f C 1 , α ( Q ¯ ) , we can obtain

1 f ˜ ( x ) 1 f ˜ ( x ε ) = 1 f ( x ˆ ) 1 f ( x ˆ ε ) C x ˆ x ˆ ε α C x x ε α = C ε α ,

and thus, (2.8) is proved. Moreover, from the aforementioned estimates, we have

(2.9) 1 f ˜ C x α ( Q ˜ ) C

where the constant C depends only on f C 1 , α ( Q ¯ ) .

Back to equation (2.6), since the coefficients a i j C β ( B 9 10 ) for all β ( 0 , 1 ) and satisfy (2.7), by (2.9), we can apply Lemma 2.1 to conclude that

D i j 2 v C α B 1 2 C for i = 1 , , n ; j = 2 , , n .

The same estimate applies around each corner of the hypercube Q . Thus, by a covering argument, we have

D i j 2 v C α ( Q ¯ ) C for i = 1 , , n ; j = 2 , , n .

Consider the restriction of equation (2.6) in Q ¯ ,

v 11 = 1 f i = 2 , j = 1 n a i j v i j j = 2 n a 1 j v 1 j a 11 .

Since 1 f C α ( Q ¯ ) , a i j C α ( Q ¯ ) and a 11 λ , we obtain v 11 C α ( Q ¯ ) C . Therefore, v C 2 , α ( Q ¯ ) . This implies that u C 3 , α ( Q ¯ ) , and thus, T C 2 , α ( Q ¯ ) is proved.□

  1. Funding information: Research of Chen was supported by National Key R&D program of China (2022YFA1005400 and 2020YFA0713100), National Science Fund for Distinguished Young Scholars (No. 12225111), and NSFC (No. 12141105). Research of Liu and Wang was supported by ARC DP200101084 and DP230100499. Research of Liu was supported by FT220100368.

  2. Conflict of interest: Authors state no conflict of interest.

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Received: 2022-11-06
Accepted: 2023-06-30
Published Online: 2023-09-19

© 2023 the author(s), published by De Gruyter

This work is licensed under the Creative Commons Attribution 4.0 International License.

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