Regularity of geodesics in the spaces of convex and plurisubharmonic functions
Soufian Abja, Slawomir Dinew

TL;DR
This paper studies the regularity of geodesics in spaces of convex and plurisubharmonic functions, establishing local regularity results, providing counterexamples for global regularity, and characterizing conditions for smooth geodesics.
Contribution
It proves optimal local C^{1,1} regularity in the real setting, constructs counterexamples for global regularity, and characterizes when smooth geodesics exist between smooth convex functions.
Findings
Proved local C^{1,1} regularity for geodesics in the real setting.
Constructed examples showing failure of global C^{1,1} regularity.
Identified necessary and sufficient conditions for smooth geodesics between smooth convex functions.
Abstract
In this note we investigate the regularity of geodesics in the space of convex and plurisubharmonic functions. In the real setting we prove (optimal) local C^{1,1} regularity. We construct examples which prove that the global C^{1,1} regularity fails both in the real and complex case in contrast to the K\"ahler manifold setting. Finally we show a necessary and sufficient conditions for existence of a smooth geodesic between two smooth strictly convex functions.
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Regularity of geodesics in the spaces of convex and plurisubharmonic functions
Soufian Abja, Sławomir Dinew
Institute of Mathematics, Jagiellonian University, ul Lojasiewicza 6, 30-348 Kraków, Poland
Institute of Mathematics, Jagiellonian University, ul Lojasiewicza 6, 30-348 Kraków, Poland
Abstract.
In this note we investigate the regularity of geodesics in the space of convex and plurisubharmonic functions. In the real setting we prove (optimal) local regularity. We construct examples which prove that the global regularity fails both in the real and complex case in contrast to the Kähler manifold setting. Finally we show a necessary and sufficient conditions for existence of a smooth geodesic between two smooth strictly convex functions.
Key words and phrases:
Monge-Ampère equation, regularity
2010 Mathematics Subject Classification:
Primary: 35J96, seconday: 35J70
Introduction
Given a compact Kähler manifold the space of Kähler potentials is defined by
[TABLE]
A classical construction of Mabuchi [Mab87] endows the space with the structure of an infinite-dimensional Riemannian manifold. More precisely at each the tangent space is naturally identified with and the scalar product between two vectors is given by
[TABLE]
where .
This abstract construction has attracted a lot of interest after the works of Semmes [Sem92] and Donaldson[D99]. In these papers it was shown that for a curve in the geodesic equation
[TABLE]
in the above setting can be rewritten as a homogeneous complex Monge-Ampère equation. Since then the notion of geodesics in the space of Kähler metrics on compact Kähler manifolds has been playing a prominent role in Kähler geometry and has found a lot of applications especially in the uniqueness problem for extremal Kähler metrics- see [BB17] and references therein.
A major analytical issue in the study of geodesics is their optimal regularity. The result of Chen [Che00], with complements by Blocki [Bl12], shows that geodesics always have bounded space-time Laplacian (so in particular they are -smooth for any ). Recently, Chu-Tosatti-Weinkove [CTW17] proved that the geodesics are globally -regular in space and time directions.
In a similar vein such a metric construction has been applied to the space of plurisubharmonic functions in strictly pseudoconvex domains-[Ras17, Abj19]. In this setting we consider - a smoothly bounded, strictly pseudoconvex domain: in particular there exists a smooth function defined in neighborhood of such that
[TABLE]
with on and on , where
[TABLE]
Then the Mabuchi space of smooth, strictly plurisubharmonic functions is defined by
[TABLE]
The space again can be endowed with the structure of an infinite dimensional Riemannian manifold, whose tangent space can be identified with the set of functions in , vanishing at the boundary of . The Mabuchi metric on is given by
[TABLE]
for any . The geodesics between two points , in are defined as the minimizers of the energy functional
[TABLE]
where is a path in joining and . The geodesic equation is obtained by computing the Euler-Lagrange equation of the functional . It reads
[TABLE]
where is the gradient with respect to the metric .
Just as in the Kähler case the existence of a geodesic between any two points and from reduces to the solution of the following Dirichlet problem
[TABLE]
where stands for the class of plurisubharmonic functions, denotes an annulus in and with . More precisely if the solution is smooth and strictly plurisubharmonic in the space variables then is the geodesic joining and .
The above equation is known as the homogeneous complex Monge-Ampère equation.
Looking at the real counterpart of the constructions above it is natural to consider smoothly bounded strictly convex domains . Then the analog of is the space of strictly convex functions i.e.
[TABLE]
The metric is given by
[TABLE]
for any , where the tangent space is again identified with the functions in that vanish at .
Not surprisingly the corresponding geodesic equation can also be rewritten as a homogeneous real Monge-Ampère equation. Similarly to the complex case we seek a convex function in , continuous up to the boundary of , such that
[TABLE]
where is the Hessian of with respect to in , and , are two strictly convex -smooth functions vanishing on . Again will be the geodesic provided that the solution is smooth and strictly convex in the space variables.
It is a basic fact that suitably defined weak solutions to (0.2) and (0.3) exist and are unique- see the next section for more details. It is customary to call these solutions weak geodesics although, strictly speaking, these need not be curves in or , respectively.
Just as in the Kähler case the optimal regularity of weak geodesics is one of the main problems in the theory. A lot is known about the regularity of the solutions in smoothly bounded strictly convex domains- see [CNS86] or on general smooth domains in presence of subsolutions- [Gu98]. In the case of strip type unbounded domains the regularity issues were analyzed in [LW15]. In particular the optimal regularity one can expect in general is - see [CNS86].
Back to problem (0.3) we remark that the boundary data is of very special form. In our setting, however, the domain has corners and the regularity of the solutions in such a domain is not sufficiently well understood. In the complex setting even less is known- see [Abj19] for some partial results.
The goal of the note is to prove global Lipschitz and almost global estimates for the problem (0.3):
Theorem 0.1**.**
Let be strictly convex domain, , be two functions from . Then the weak geodesic is regular away from corner points . For any neighborhood of such that is convex there is a constant dependent on and such that
[TABLE]
We remark that the above result is stronger than merely local regularity, as it shows that potential blow-up may occur only at the corners.
Analogous regularity for weak plurisubharmonic geodesics is not known (see [Abj19] for partial results in the case of being an Euclidean ball). We can however show the corresponding result for weak geodesics in joining two toric plurisubharmonic functions. Recall that a domain is Reinhardt if it is invariant with respect to the standard -dimensional torus action on the coordinates. The axis set is simply
[TABLE]
Corollary 0.2**.**
Let be a smoothly bounded strictly pseudoconvex Reinhardt domain. Suppose that is a weak geodesic solving the problem (0.2). If are toric in the space variables i.e. for all satisfying one has then is away from the corner and .
Given these results and the theory in the Kähler case it is natural to ask whether global bounds could be obtained. A bit surprisingly we show (see Examples 3.1 and 4.1) that this is not the case: there exist pairs of points in and such that the weak geodesics joining them are not globally .
With Example 3.1 in mind it is natural to ask what are the exact conditions guaranteeing that two points can be joined by a smooth geodesic (i.e. problem (0.3) admits a solution which is smooth in space and time and is furthermore strictly convex up to the boundary for a fixed time). Exploiting the ideas of Li and Wang from [LW15] we can get an exact answer- our second main result in this note:
Theorem 0.3**.**
Let . Then and can be joined by smooth geodesic if and only if the gradient image of
[TABLE]
equals the gradient image of .
We remark that Theorem 0.3 shares some similarities with Guan’s theorem on existence of smooth geodesics in the case of toric compact Kähler manifolds- see [G99]. Indeed, smooth geodesics always exist in the toric setting, but also the image of the moment maps (the analogue of the gradient image) is fixed- it is equal to the Delzant polytope of the toric manifold.
We also remak that the problems of finding criteria for existence of smooth geodesics both in the general Kähler and plurisubharmonic setting are widely open.
This paper is organized as follows. In Section 1 we recall some preliminary results. We prove Theorem 0.1 and Corollary 0.2 in the next section. In Section 3 we present an example in which the regularity at the corner points fails to be . In Section 4 a complex analogue of such an example is constructed. In the last section we prove Theorem 0.3.
Acknowledgements*.*
Both Authors were supported by Polish National Science Centre grant 2017/26/E/ST1/00955.
1. Preliminaries
In this section we gather the notions and results that will be used later on.
For the basics of the theory of weak solutions of the real Monge-Ampère equation we refer to [Gut02] or [Fi17]. The complex counterpart can be found in [Kol05].
In the study of homogeneous Monge-Ampère Dirichlet problem the natural solution is the envelope. The envelope associated to (0.3) is defined as follows.
[TABLE]
where , and
It is a classical fact that the envelope solves in a weak sense (see [Gut02] for details). It also matches the given boundary values provided that there is a convex function matching this data. In our case the function
[TABLE]
is convex with respect to and assumes the given boundary values for sufficiently large constant (this function is modelled on a plurisubharmonic barrier constructed in [Ber15]).
As a result the envelope is a solution (i.e. a weak geodesic) of the problem (0.3). The uniqueness of solutions to Monge-Ampère equations follows from the comparison principle- see [Gut02].
Another elementary observation is that satisfies the inequality
[TABLE]
Coupling these lower and upper Lipschitz barriers with the convexity of it easily follows that is globally Lipschitz in (the complex analogue of this fact was proven in [Abj19]).
Gathering together the conclusions above we obtain the following proposition:
Proposition 1.1**.**
*Let be a smoothly bounded strictly convex domain, and . Then the envelope satisfies the following proprieties:
i) in .
ii) on .
iii) *
Next lemma is borrowed from [Wan95]. It gives a sufficient condition to glue two convex functions.
Lemma 1.2**.**
Let be two domains in with disjoint interiors. Suppose that the convex functions solve in respectively. Suppose that and on . Then the function
[TABLE]
is convex in the interior of and solves there.
In the proof of the regularity we shall need the basic facts from Section 1 in [CNS86]. Recall that a domain satisfies the truncated cone condition if the following holds: there exist constants such that for every there is a truncated cone
[TABLE]
which is contained in .
For our purposes it is sufficient that the domain is bounded and convex and thus satisfies the truncated cone condition.
The following two results are contained in the aforementioned Section 1 in [CNS86]:
Lemma 1.3**.**
Let be a convex domain satisfying the truncated cone condition. Given any convex, uniformly Lipschitz function satisfying for some constant and all the bound
[TABLE]
one has
[TABLE]
for some constant dependent only on and . In particular such a function is regular.
We sketch the main idea for the sake of completeness.
Proof.
Subtracting a linear function if necessary one may assume that and . As is uniformly Lipschitz it suffices to prove that for all such that with being the constant in the truncated cone condition.
The truncated cone condition implies that for any vector there is a point in such that for some uniform dependent only on . In particular there is such a satisfying and . But it is easily seen that
[TABLE]
and the proof follows. ∎
Next lemma from [CNS86] shows that the global inequality (1.1) follows from its localized version:
Lemma 1.4**.**
Suppose that is a differentiable uniformly Lipschitz convex function in a convex domain , such that for every there is a constant such that for any one has
[TABLE]
for some uniform constant . Then inequality (1.1) holds with the same constant . In particular is regular.
Proof.
Fix some constant and suppose that
[TABLE]
for some pair of points and in . By assuption for fixed there is a closest to such point . On the line segment the function is positive near and vanishes at the end points. At an interior maximum one has
[TABLE]
for all small enough which means that
[TABLE]
For sufficiently small the latter inequality coupled with inequality (1.2) impies that
[TABLE]
a contradiction. ∎
We shall need the following classical fact:
Lemma 1.5**.**
Let be a Reinhardt domain in and be a bounded plurisubharmonic function on , invariant with respect to the toric action. Then:
- (1)
The image of the mapping
[TABLE]
is a domain in . is pseudoconvex if and only if is convex. 2. (2)
The function is a convex function in . Reversely for any bounded convex function on the function defined through this formula extends to a toric plurisubharmonic function on . 3. (3)
* if and only if - the equivalence continues to hold for bounded singular and and then the equalities are understood in weak sense of measures- see [Gut02, Kol05].*
In the proof of Corollary 0.2 we shall need some basic geometric facts regarding unbounded convex domains. Recall that if is the closure of such an unbounded convex domain the characteristic cone for the point
[TABLE]
is nonempty and independent of the base point .
The following lemma says that very long line segments in with one end point in a fixed compact region must be almost parallel to a direction from the characteristic cone:
Lemma 1.6**.**
Let be an unbounded convex domain and let be a compact subset of . Then for every there is a positive constant , dependent on and so that if and the length of is more than then there exists a vector such that the angle between and is less than .
Proof.
Suppose not. Then for every there are points at distance at least with the direction of separated from the directions. Let be a cluster point of . Then the directions of the line segments for all large enough and belonging to the sequence defining are also separated from the directions which is a contradiction, since the slopes of these segments, after taking another subsequence if necessary, converge to a direction from . ∎
The last result we shall need is a slight modification of Lemma 3.2 from [LW15]. It says that if for any point the solution to the problem (0.3) is linear along a line segment then the end points depend smoothly on and .
Lemma 1.7**.**
Let be a convex domain in (possibly unbounded). Let be a convex solution to the problem
[TABLE]
with . Suppose that for any there is a unique line segment containing and , so that is linear along . Then and are smooth functions in .
Proof.
Fix a point . Linearity of along forces the equality
[TABLE]
as are smooth strictly positive matrices for all it follows by the implicit function theorem that is a smooth function of and vice versa.
We have
[TABLE]
Note that this smooth dependence holds up to thanks to the assumption that are strictly convex and smooth up to the boundary.
It remains to check that is a smooth function of and . To this end we note that (1.5) and
[TABLE]
imply
[TABLE]
It thus suffices to check that is invertible. But following Lemma 3.2 in [LW15] we check that
[TABLE]
[TABLE]
as the matrix is a convex combination of two strictly positive matrices. Again the assumption guarantees that the smooth dependence continues up to the boundary. ∎
2. Regularity
In this section we provide a proof of Theorem 0.1. The proof, except for the last step, copies the classical argument of Caffarelli-Nirenberg-Spruck from [CNS86]. We sketch the reasoning for the sake of completeness.
Lemma 2.1**.**
Let be any point in . Subtracting a linear function if necessary, we may suppose that
[TABLE]
*Then is in the convex hull of points (not necessarily distinct)
in with for all *
Proof.
This is Lemma 2 from [CNS86]. By Caratheodory’s theorem it suffices to show that is in the convex hull of
[TABLE]
Suppose on contrary that this is not true. Then there is a hyperplane separating from ; i.e. there is an affine function such that
[TABLE]
Every point in satisfies after possibly a translation and rotation the following inequality:
[TABLE]
As is a compact subset of there is a positive constant , such that on . We consider the function
[TABLE]
for a fixed positive constant . Fix a point . If we have at . If in turn , we have and by choosing small enough we obtain
[TABLE]
Then by the comparison principle we infer that
[TABLE]
This implies that , which contradicts the fact that . ∎
Fix now a neighborhood of , such that
[TABLE]
is convex. With the aid of Lemmas 1.3 and 1.4, Theorem 0.1 follows from the following bound: for every point in there is a positive dependent on and the data in Problem (0.3), such that for any one has
[TABLE]
[TABLE]
for a constant depending on and the norm of , (but independent on ).
Proof of inequality (2.1).
We fix . After possibly an addition of an affine function we can suppose
[TABLE]
The problem (0.3) for this new function becomes:
[TABLE]
The inequality we need to prove reads
[TABLE]
for all sufficiently close to .
Up to now we were simply following the argument from [CNS86]. To proceed we need the following fact:
Claim: contains at most one point with -coordinate equal to [math], no points with and at most one point with -coordinate equal to . In particlar the convex hull of is a line segment.
In order to show the claim we divide the boundary of
[TABLE]
[TABLE]
[TABLE]
into three types of boundary points.
Strict convexity of and shows that no two points from could belong to hyperplane, as well as to the hyperplane. It is easy then to see that neither of the points from could belong to . Indeed if this were the case for , say, then the affine function is nonnegative on the segment and vanishes on , hence it vanishes at and . As contains other points on we get a contradiction with our previous observation.
The case when two points belong to is also easily ruled out, as once again vanishes on the plane spanned by .
Thus we can assume without loss of generality that and that . In case also belongs to we assume, switching the role of the end points if necessary, that is closer to than to .
Consider a ball in with center and radius with to be determined. For any in the - ball let be the point where the ray from to strikes the boundary of for the second time. As by choosing the sufficiently small we will have . If by convexity of and , we have
[TABLE]
where . By Taylor expansion (note that as it is a local minimum point on the hyperplane) we have
[TABLE]
for a constant dependent on the norm of and the Lipschitz norm of .
If we could now prove that
[TABLE]
for some under control we are done. Indeed, we have
[TABLE]
and
[TABLE]
where is the angle between the line and the hyperplane , is the angle between and and is the angle between and . From these two equations we obtain
[TABLE]
Note that the angle is uniformly bounded from below by a constant dependent on . Also, trivially, .
In order to bound the ratio consider two cases:
Case 1. If , then, as the quantity is bounded from below by a constant dependent on , while is bounded from above by a constant dependent only on .
Case 2. If also belongs to then, recalling that is closer to than to , we have .
In both cases we get that (2.4) holds, and hence the proof is concluded. ∎
Remark 2.2*.*
In the proof we haven’t made use of the smoothness of . In particular the regularity still holds for any strictly convex bounded domain with boundary.
The proof of Corollary 0.2 follows similar lines once we translate the problem on the logarithmic image of . Below we sketch the details.
Proof of Corollary 0.2.
Let be the logarithmic image of the Reinhardt domain . Then in the function
[TABLE]
solves the homogeneous real Monge-Ampère equation with the corresponding boundary values.
If the axis set is empty then is bounded, smooth, strictly convex domain and Theorem 0.1 applies yielding almost global smoothness of which in turn implies the claimed regularity of .
If the domain is unbounded. Again we assume, adding an affine function if necessary, that for some fixed point . It is easy to see that is convex and has no extremal points in . Indeed, arguing in a small ball around such a point we can repeat the argument from the bounded case.
Consider
[TABLE]
The argument above shows that is in the convex hull of unless there is an infinite ray passing though it. The end point of such a ray has to be in and it has to be parallel to the hyperplanes. But the initial function is bounded and linear on such a ray, hence it is constant there. The position of the end-point forces that =0 along the ray, which contradicts the negativity of the initial in . As a result has to be in the convex hull of .
Just as in the previous proof there is at most one point in with -coordinate equal to [math] and at most one with -coordinate equal to , for otherwise we get a contradiction with the strict convexity of the boundary values. Again this precludes the existence of a point from on for it would imply that for every . As a result consists of two points and the line segment segment joining them passes through . Let the end points be with with at most one being in .
What remains to be done is to show that this line segment is uniformly bounded in length, or equivalently it is not too parallel to the hyperplanes.
To this end fix two Reinhardt pseudoconvex neighborhoods of in which yields convex neighborhoods of infinity in . We can assume that is bounded. Shinking if necessary we can assume that the distance between and is equal to
Given a line segment as above with in we suppose, without loss of generality, that . If is in the length of the segment is bounded by a constant dependent on the diameter of and we conclude as in the bounded domain case.
Hence from now on we assume that .
Case 1. Assume that .
By Lemma 1.6 we can assume that the vector almost belongs to the characteristic cone of : there is a unit vector , such that the angle between and is less than any preassigned if the line segment is long enough. But then , where is a vector of length at most .
Claim: There is a dependent only on and such that
[TABLE]
Note that as is a convex function on an infinite ray it follows that is increasing in and . Obviously
[TABLE]
Hence
[TABLE]
Note that the inegral is taken over a ray that intersects in a line segment of length at least and that is uniformly convex there. Thus the claim follows.
Recall that
[TABLE]
with equality unless . This implies
[TABLE]
Fixing sufficiently small we obtain, assuming that is large enough,
[TABLE]
But on the other hand
[TABLE]
[TABLE]
for any . Thus
[TABLE]
[TABLE]
a contradiction with the uniform bound of if is too large.
Case 2. Let now belong to forcing . The problem with the previous argument is that the inequality (2.5) would be now in the wrong direction.
Instead, we observe that
[TABLE]
which yields
[TABLE]
as is locally uniformly Lipschitz and , are bounded.
Thus
[TABLE]
but on the other hand from the proof in the first case we know that is uniformly positive for any . Once again exploiting the fact that there is an in very close to if is sufficiently large, we get , a contradiction with (2.6) if is too long.
As a result we obtain a bound on and hence on the length of the line segment and the proof concludes as in the bounded domain case.
∎
Remark 2.3*.*
One can use also an indirect argument to prove that line segments must have bounded length. Indeed, suppose that there are sequences of points , such that , say, varies in a relatively compact subset of , and is linear along . Taking a subsequence if necessary, these segments will converge to a ray in . As is bounded, this convergence implies the constancy of along the ray, a contradiction with the strict convexity of . The direct argument however provides an explicit bound and hence one has a better control on the bound of the solution.
Remark 2.4*.*
It is likely that the weak geodesic is also smooth near .
3. real example
In this section we discuss an example of a solution to the problem (0.3) with smooth data, which fails to be up to the boundary.
Example 3.1**.**
We take , , . We consider the following function
[TABLE]
It is obvious and . We are going to check that the function is convex and it is indeed a solution of the above Dirichlet problem. To this end we compute the Hessian matrix of in the three cases.
Case 1: , when . By straightforward computation we obtain
[TABLE]
Obviously is semi-postive with vanishing determinant, which implies that is convex with respect to . Note also that the second order derivatives blow-up as .
Case 2: , when . In this case the Hessian reads
[TABLE]
Again is semi-postive with vanishing determinant. Note however that the second derivatives are bounded which is in line with Theorem 0.1.
Case 3: , when . In this case
[TABLE]
Once again the Hessian is semi-positive with vanishing determinant. In this case the second order derivatives blow-up as .
We shall use Lemma 1.2 to show that glue together to a convex function. We denote by , and the domains of definition of , and respectively. On we have
[TABLE]
while
[TABLE]
We have also along
[TABLE]
while
[TABLE]
Thus , and glue together to a convex function matching the given boundary data. By Lemma 1.2 in the weak sense.
4. Complex setting
In this section we construct an example of a geodesic which joins two smooth strictly plurisubharmonic functions but is not up to the boundary of
Example 4.1**.**
Let be the unit disc in .We join and by
[TABLE]
Below we check that is plurisubharmonic with respect to and satisfies
[TABLE]
which means is a weak geodesic between and .
We check first the plurisubharmonicity of the two parts of . The complex Hessian of in reads
[TABLE]
The complex Hessian is Hermitian semi-postive with vanishing determinant, which implies that is plurisubharmonic and satisfies
[TABLE]
It can be also checked by direct computation that all the second order partial derivatives of remain bounded in this case.
In the remaining part of the complex Hessian of is given by.
[TABLE]
where
Again the complex Hessian is Hermitian semi-postive, and hence is plurisubharmonic with vanishing complex Monge-Ampère operator in this second case. Note that if the second-order derivatives blow-up.
It remains to check that both parts of glue together in a plurisubharmonic fashion. Indeed, to prove that is plurisubharmonic we need to show that is well glued in a neighborhood of the hypersurface
[TABLE]
We put and . Then becomes
[TABLE]
By Lemma 1.5 are convex in their domains of definition and vanish. We will next check that is globally convex with vanishing real Monge-Ampère. To this end we shall use Lemma 1.2. On the line we have:
[TABLE]
[TABLE]
Thus the conditions in Lemma 1.2 are satisfied and we conclude that is convex with globally vanishing real Monge-Ampère measure. One more application of Lemma 1.5 yields that is plurisubharmonic and in the sense of measures, as claimed.
5. Existence of smooth geodesics
In this section we shall provide a proof of Theorem 0.3. From the proof of Theorem 0.1 we know that through every point there is a unique line segment along which the weak geodesic is linear.
At this moment we remark that two such segments can meet at the boundary of , as Example 3.1 shows.
Denote by the points so that and are the end points of . We have already observed in the proof of Theorem 0.1 that two cases are possible:
Case 1. Both and belong to .
Case 2. One of the points belongs to , while the other belongs to .
In the first case, we recall that
[TABLE]
Proof of Theorem 0.3.
Suppose first that . Observe that both sets are open. Swapping and if necessary, we may thus suppose that there is a point such that is a vector that does not belong to . As is there is a point sufficiently close to such that does not belong to . Then if is a segment through along which is linear we must have as otherwise equation 5.1 would be violated.
In a small ball around the set is disjoint from . This yields a continuous mapping
[TABLE]
Obviously the map cannot be injective and hence we get two points with the same . Continuing the rays until they hit the boundary of for the second time we obtain two points with the same . Suppose, translating and rotating the coordiantes if necessary, that while for some . But then is constant on the segments . As a result for any
[TABLE]
[TABLE]
[TABLE]
Note that both integrals integrate positive functions as is convex. The domain of integration shrinks to a point as which implies that becomes arbitrarily large somewhere along the integral path.
Suppose now that equality
[TABLE]
holds. Let be a point in . Then
[TABLE]
is nonnegative and vanishes on the line segment . Suppose, without loss of generality, that the end point belongs to . Then repeating the same argument as in the proof of equation (5.1) , thus , implying that belongs to . We claim that this forces that the second end point belongs to .
Indeed, from the strict convexity of and the equality (5.2) we obtain a unique point so that But if then , as is nonnegative on the segment and vanish at . Then
[TABLE]
[TABLE]
[TABLE]
a contradiction.
As a result for any point there are uniquely defined
[TABLE]
so that restricted to the segment is linear. Hence
[TABLE]
Smoothness of now follows from Lemma 1.7.
It remains to prove strict convexity in the space variables. Fix any vector . Then
[TABLE]
[TABLE]
Recall that and . These imply that the last row in (5.4) vanishes. On the other hand the strict convexity of and coupled with yields that the sum is strictly positive. Gathering these, we obtain
[TABLE]
up to , as claimed. ∎
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