Uniqueness of the partial travel time representation of a compact Riemannian manifold with strictly convex boundary
Abstract.
In this paper a compact Riemannian manifold with strictly convex boundary is reconstructed from its partial travel time data. This data assumes that an open measurement region on the boundary is given, and that for every point in the manifold, the respective distance function to the points on the measurement region is known. This geometric inverse problem has many connections to seismology, in particular to microseismicity. The reconstruction is based on embedding the manifold in a function space. This requires the differentiation of the distance functions. Therefore this paper also studies some global regularity properties of the distance function on a compact Riemannian manifold with strictly convex boundary.
Key words and phrases:
Inverse problem, Riemannian geometry, Distance function, Geodesics2020 Mathematics Subject Classification:
53C21, 53C24, 53C80, 86A221. Introduction
This paper is devoted to an inverse problem for smooth compact Riemannian manifolds with smooth boundaries. Suppose that there is a dense but unknown set of point sources going off in an unknown Riemannian manifold. For each of these point sources we measure the travel time of the respective wave on some small known open subset of the boundary of the manifold. The point source can be natural (e.g. an earthquake as a source of seismic waves) or artificial (e.g. produced by focusing of waves or by a wave sent in scattering from a point scatterer). We show that this partial travel time data determines the unknown Riemannian manifold up to a Riemannian isometry under some geometric constraints. Namely, we assume that the unknown manifold has a strictly convex boundary. We also provide an example demonstrating that the convexity is a necessary assumption. To prove our result, we embed a Riemannian manifold with boundary into a function space and use smooth boundary distance functions to give a coordinate and the Riemannian structures.
The inverse problem introduced above can be rephrased as the following problem in seismology. Imagine that earthquakes occur at known times but unknown locations within Earth’s interior and arrival times are measured on some small area on the surface. Are such partial travel time measurements sufficient to determine the possibly anisotropic elastic wave speed everywhere in the interior and pinpoint the locations of the earthquakes? While earthquake times are not known in practice, this is a fundamental mathematical problem that underlies more elaborate geophysical scenarios.
An elastic body — e.g. a planet — can be modeled as a manifold, where distance is measured in travel time: The distance between two points is the shortest time it takes for a wave to go from one point to the other. If the material is isotropic or elliptically anisotropic, then this elastic geometry is Riemannian. However this sets a very stringent assumption on the stiffness tensor describing the elastic system, one which is not physically observed in the Earth, and Riemannian geometry is therefore insufficient to describe the propagation of seismic waves in the Earth. If no structural assumptions on the stiffness tensor apart from the physically necessary symmetry and positivity properties are made, this leads necessarily to modeling the planet by a Finsler manifold as was explained in [13].
An isotropically elastic medium carries pressure (P) and shear (S) wave speeds that are conformally Euclidean metrics. Of these two the P-waves are faster [8]. In order to be true to the isotropic elasticity we should measure both P- and S-wave arrivals. In this paper we simplify this aspect of the problem by disregarding polarizations and considering only one type of isotropic waves.
Acknowledgements
EP was funded by the AWM and NSF-DMS grant # 1953892 for travel to the 2022 Joint Mathematics Meetings (JMM), where this paper is to be presented.
1.1. Main theorem and the geometric assumptions
We consider a compact -dimen-sional smooth manifold with smooth boundary , equipped with a smooth Riemannian metric . For points the Riemannian distance between them is denoted by . Then for we define the boundary distance function given by . Let be a non-empty open subset of the boundary . We denote the restriction of the boundary distance function on this set as . The collection
(1) |
are called the partial travel time data of . With these data we seek to recover the Riemannian manifold up to a Riemannian isometry. The following definition explains when two Riemannian manifolds have the same partial travel time data (1).
Definition 1.
Let and be compact, connected, and oriented Riemannian manifolds of dimension with smooth boundaries and and open non-empty regions respectively. We say that the partial travel time data of and coincide if there exists a diffeomorphism such that
(2) |
We want to emphasize that the equality (2) is for the non-indexed sets of travel time functions. Thus, for any there exists a point such that for every . We do not know a priori where the point is or if there are several points that satisfy this equation.
We use the notations and for the tangent and unit sphere bundles of . Their respective fibers, for each point , are denoted by and . In order to show that the data (1) determine , up to an isometry or in other words that the Riemannian manifolds and of Definition 1 are Riemanian isometric, we need to place an additional geometric restriction. We assume that has a strictly convex boundary which means that the shape operator as a linear operator on each tangent space of the boundary for a point is negative definite. This means that the second fundamental form
is strictly negative whenever agree, but do not vanish. It has been shown in [5, 3] that the strict convexity of the boundary implies the geodesic convexity of . That is any pair of points can be connected by a distance minimizing geodesic (not necessarily unique) which is contained in the interior of modulo the terminal points. In particular any geodesic of that hits the boundary exits immediately.
The main theorem of this paper is the following:
Theorem 2.
Let and be compact, connected, and oriented Riemannian manifolds of dimension with smooth and strictly convex boundaries and and open non-empty measurement regions respectively. If the travel time data of and coincide, in the sense of Definition 1, then the Riemannian manifolds and are Riemannian isometric.
Remark 3.
Our assumptions in Theorem 2 do not prevent the existence of the conjugate points. Actually quite a lot of work in this paper is needed to handle their existence. We also allow the manifolds to have trapped geodesics.
1.2. Outline of the proof of Theorem 2
The main tool of proving Theorem 2 is to differentiate the travel time functions given in equation (1). As these functions are defined only on a small open subset of the boundary we need to develop some regularity theorem for them. For this reason in Section 3 we study the regularity properties of the distance function on Riemannian manifolds satisfying the geometric constraints of Theorem 2. Section 3 has two main results. Theorem 4 is the aforementioned regularity result and the key of the proof of Theorem 2. In order to prove Theorem 4 we need to study, for each point in our manifold, the properties of its cut locus. This is the set past which the geodesics shot from the chosen point are not anymore distance minimizers. Theorem 12 collects the needed properties of these sets. Up to the best of our knowledge the material presented in Section 3 does not exist or is not easily accessible in the literature. Nevertheless, the corresponding results for manifolds without boundaries are well known.
In Section 4 we apply Theorem 4 to reconstruct the Riemannian manifold from its partial travel time data (1). This is done in five parts. Firstly we recover the geometry of the measurement region. As the second step we recover the topological structure by embedding the unknown manifold into a function space. Then we determine the boundary. The fourth step is to find local coordinates. Since our manifold has a boundary, we need different types of local coordinates for the interior and boundary points. Lastly we reconstruct the Riemannian metric. All the steps in Section 4 are fully data driven. Finally, in Section 5 we show that if two Riemannian manifolds, as in Theorem 2, have coinciding partial travel time data, in the sense of the Definition 1, then they are isometric.
1.3. The convexity of the domain in Theorem 2 is necessary
Let us construct an explicit example of a surface and a subset so that our results fail with data recorded only on (this example was originally presented in [11]). We recall that every pair of points on a smooth compact Riemannian manifold with boundary is always connected by a -smooth distance minimizing curve [1]. We choose our a manifold to be the horseshoe-shaped domain of Figure 1. We split the domain into two pieces and with respect to the line (red dotted line) that is normal to at (blue dot). Then we choose a domain (red arch) so that any minimizing curve joining a point on and a point in touches the boundary near . The curve is any involute of the boundary, meaning that the distance from all points on to is the same. Because for any and , from the point of view of our data (1), the set appears to collapse to a point.
2. Some geometric inverse problems arising from seismology
In the following subsections we review some seismologically relevant geometric inverse problems on Riemannian and Finsler manifolds.
2.1. Related geometric inverse problems on Riemannian manifolds
Let be as in Theorem 2 and denote the Laplace-Beltrami operator of the metric by . Let . In this paper we consider an inverse problem related to the wave equation
(3) |
where the solution is a spherical wave produced by an interior point source given by the delta function of the space time at . We define the arrival time function , of the wave by the formula
We recall that it was shown in [32, Proposition 3.1], by applying the results of [16, 18], that If the initial time is zero (or given), the knowledge of the arrival time function on the open set is equivalent to the corresponding travel time function as in (1).
The problem of determining the isometry type of a compact Riemannian manifold from its boundary distance data
was introduced for the first time in [26]. The reconstructions of the smooth atlas on the manifold and the metric tensor in these coordinates was originally considered in [23]. In contrast to the paper at hand, these earlier results do not need any extra assumption for the geometry, but have complete data in the sense that the measurement area is the whole boundary. Their counterpart of our Theorem 4, is [23, Lemma 2.15], which says that the boundary distance function is smooth near its minimizers (the set of closest boundary points to the source point ). This lemma is a key of their proof. However, the same technique is not available to us as it requires the access to the whole boundary.
The problem of boundary distance data is related to many other geometric inverse problems. For instance, it is a crucial step in proving uniqueness for Gel’fand’s inverse boundary spectral problem [23]. Gel’fand’s problem concerns the question whether the data
determine up to isometry, when are the Dirichlet eigenvalues and the corresponding -orthonormal eigenfunctions of the Laplace–Beltrami operator. Belishev and Kurylev provide an affirmative answer to this problem in [4].
In [24] the authors studied a question of approximating a Riemannian manifold under the assumption: For a finite set of receivers one can measure the travel times for finitely many under the a priori assumption that is -dense and that is also -dense. Thus is a finite measurement. The authors construct an approximate finite metric space and show that the Gromov-Hausdorff distance of and is proportional to some positive power of . In [24] an independent travel time measurement is made for each interior source point in , whereas in [11] the authors studied the approximate reconstruction of a simple Riemannian manifold (a compact Riemannian manifold with strictly convex boundary where each pair of points is connected by the unique smoothly varying distance minimizing geodesic) by measuring the arrival times of wave fronts produced by several point sources, that go off at unknown times, and moreover, the signals from the different point sources are mixed together. To describe the similarity of two metric spaces ‘with the same boundary’ the authors defined a labeled Gromov-Hausdorff distance. This is an extension of the classical Gromov-Hausdorff distance which compares both the similarity of the metric spaces and the sameness of the boundaries — with a fixed model space for the boundary. In addition to reconstructing a discrete metric space approximation of , the authors in [11] estimated the density of the point sources and established an explicit error bound for the reconstruction in the labeled Gromov-Hausdorff sense.
If we do not know the initial time in (3), but we can recover the arrival times for each , then taking the difference of the arrival times one obtains a boundary distance difference function
for all , which is independent from the initial time . In [32] it is shown that if is a compact subset of a closed Riemannian manifold with a non-empty interior, then distance difference data
determine up to an isometry. This result was generalized for complete Riemannian manifolds [22] and for compact Riemannian manifolds with boundary [14, 21]. These results require the full boundary measurement in the sense of , unlike Theorem 2 in the present paper.
If the sign in the definition of the distance difference functions is changed, we arrive at the distance sum functions,
for all and . These functions give the lengths of the broken geodesics, that is, the union of the shortest geodesics connecting to and the shortest geodesics connecting to . Also, the gradients of with respect to and give the velocity vectors of these geodesics. The inverse problem of determining the manifold from the broken geodesic data, consisting of the initial and the final points and directions, and the total length of the broken geodesics, has been considered in [27]. The authors show that broken geodesic data determine the boundary distance data of any compact smooth manifold of dimension three and higher. Finally they use the results of [23, 26] to prove that the broken geodesic data determine the Riemannian manifold up to an isometry. A different variant of broken geodesic data was recently considered in [38].
The Riemannian wave operator is a globally hyperbolic linear partial differential operator of real principal type. Therefore, the Riemannian distance function and the propagation of a singularity initiated by a point source in space time are related to one another. We let be the solution of the Riemannian wave equation as in (3). In [17, 18] it is shown that the image, , of the wave front set of , under the musical isomorphism , coincides with the image of the tangent space at under the geodesic flow of . Thus , where is the unit sphere bundle of , coincides with the exit directions of geodesics emitted from . In [33] the authors show that if is a compact smooth non-trapping Riemannian manifold with smooth strictly convex boundary, then generically the scattering data of point sources determine up to an isometry. Here, for stands for the collection of tangential components to the boundary of exit directions of geodesics from to .
A classical geometric inverse problem, that is closely related to the distance functions, asks: Does the Dirichlet-to-Neumann mapping of a Riemannian wave operator determine a Riemannian manifold up to an isometry? For the full boundary data this problem was solved originally in [4] using the Boundary control method. Partial boundary data questions have been studied for instance in [31, 40]. Recently [29] extended these results for connection Laplacians. Lately also inverse problems related to non-linear hyperbolic equations have been studied extensively [28, 34, 51]. For a review of inverse boundary value problems for partial differential equations see [30, 50].
Maybe the most extensively studied geometric inverse problem formulated with the distance functions is the Boundary rigidity problem. This problem asks: Does the boundary distance function, that gives a distance between any two boundary points, determine up to an isometry? In an affirmative case is said to be boundary rigid. For a general Riemannian manifold the problem is false: Suppose the manifold contains a domain with very slow wave speed, such that all the geodesics starting and ending at the boundary avoid this domain. Then in this domain one can perturb the metric in such a way that the boundary distance function does not change. It was conjectured in [39] that for all simple Riemannian manifolds the answer is affirmative. In two dimensions this was verified in [44]. For higher dimensional cases the problem is still open, but different variations of it has been considered for instance in [7, 9, 48, 49].
2.2. Related geometric inverse problems on Finsler manifolds
In [13] the authors studied the recovery of a compact Finsler manifold from its boundary distance data. In contrast to earlier Riemannian results [23, 26] the data only determines the topological and smooth structures, but not the global geometry. However the Finsler function can be recovered in a closure of the set , which consists of points such that the corresponding geodesic is distance minimizing to the terminal boundary point. They also showed that if the set is non-empty then any small perturbation of in this set leads to a Finsler metric whose boundary distance data agrees with the one of . If , then the boundary distance data determines up to a Finsler isometry. For instance the isometry class of any simple Finsler manifold is determined by this data. The same is not true if only the boundary distance function is known [20]. Thus a simple Finsler manifold is never boundary rigid. In [12] the main result of [13] was utilized to generalize the result of [27], about the broken geodesic data, on reversible Finsler manifolds, satisfying a convex foliation condition.
Although, simple Finsler manifolds are not boundary rigid there are results considering their rigidity questions for some special Finsler metrics. For instance it was shown in [41] that Randers metrics indexed with with simple and boundary rigid Riemannian norm and closed one-form , have the same boundary distance function if and only if for some boundary fixing diffeomorphism and for some smooth function vanishing on . It is worth mentioning that analogous results have been presented earlier on a Riemannian manifold in the presence of a magnetic field [2, 10].
3. Distance functions on compact manifolds with strictly convex boundary
The aim of this section is to prove the following regularity result for the Riemannian distance function.
Theorem 4.
Let be a smooth, compact, connected, and oriented Riemannian manifold of dimension with smooth and strictly convex boundary. For any there exists an open and dense set such that for every there are neighborhoods of and of such that the distance function is smooth in the product set .
This result is the key of the proof of Theorem 2.
3.1. Critical distances, extensions and the cut locus
In this section we consider a Riemannian manifold as in Theorem 4, and study the properties of several critical distance functions. We define the exit time function
where is the geodesic of with the initial conditions . Since the boundary of is strictly convex, is the first time when the geodesic hits the boundary, and is the maximal interval where the geodesic is defined. We do not assume that for all . That is, may have trapped geodesics. Here we denote by the set of all non-trapped directions, that are those for which . It is well known that on compact Riemannian manifolds with strictly convex boundary the set is open in , the exit time function is continuous in , and smooth on (See for instance [47, Chapter 4]).
For any we define a star shaped set
(4) |
Thus is the largest subset of where the exponential map of
is defined. Since is strictly convex this map is onto, but it does not need to be one-to-one, since there can be several geodesics of the same length connecting to some common point. This leads to the following definition of the cut distance function:
(5) |
Thus the geodesic segment is a distance minimizing curve for any .
Traditionally on a closed Riemannian manifold the set
(6) |
is known as the cut locus of the point and each point in this set is called a cut point of . Moreover, the cut locus of coincides with the closure of the set of those points such that there is more than one distance minimizing geodesic from to (see for instance [25, Theorem 2.1.14]). It has been also shown in [45, Section 9.1] that is smooth in but not at any . In order to understand the smoothness properties of the distance function on a Riemannian manifold with a strictly convex boundary, our aim is to define the set analogous to the one in (6) in this context.
If is a closed manifold and then by Klingenberg’s lemma [36, Proposition 10.32] either there is a second distance minimizing geodesic from to or these points are conjugate to each other along . In particular, the geodesic is not a distance minimizer beyond the interval . The following lemma extends this result in our case.
Lemma 5.
Let Riemannian manifold be as in Theorem 4 and . If
then at least one of the following holds for :
-
•
There exists another distance minimizing geodesic from to .
-
•
is the first conjugate point to along .
Moreover, for any the geodesic segment has no conjugate points and is the unique unit-speed distance minimizing curve between its endpoints.
Proof.
Since the exit time function is continuous on the non-trapping part of and is an interior point of , the proof is identical to the proof of the analogous claim in [36, Proposition 10.32]. ∎
Since the manifold has a non-empty boundary it holds that both the tangent bundle and the unit sphere bundle are manifolds with boundaries and respectively.
We equip with the Sasaki metric . Thus we can consider , and its submanifold , as Riemannian manifolds. In the following the convergence and other metric properties in or will be considered with respect to this metric.
Lemma 6.
Let Riemannian manifold be as in Theorem 4. The cut distance function is continuous in .
Proof.
As has a boundary, the definition of the cut time function , in the equation (5), has an issue. Namely if for some we do not know a priori if the geodesic just hits the boundary at or if it is possible to find an extension of such that also extends as a distance minimizer.
To address this question, from here onwards we assume that has been isometrically embedded in some closed Riemannian manifold . This can be done for instance by constructing the double of the manifold as explained in [35, Example 9.32] and extending the metric smoothly across the boundary . The issue with this extension is that it might create ‘short cuts’ in the sense that there can be a curve in , connecting some points of , which is shorter than any curve entirely contained in . Therefore we always have
where and are the distance functions of and respectively. The following proposition shows that while we stay close enough to we do not need to worry about these short cuts.
Proposition 7.
Let be a smooth, connected, orientable, and closed Riemannian manifold and an open set whose boundary is a smooth strictly convex hyper-surface of . There exists an open subset of , that contains the closure of and whose boundary is a smooth, strictly convex hyper-surface of .
Moreover
(7) |
Proof.
Since is a smooth hyper-surface of there exists a smooth function and a neighborhood of such that
for every . Moreover for each there exists a unique such that We choose the sign convention of such that for . Then on the gradient of the function agrees with the outward pointing unit normal vector field of . The existence of this function is explained for instance in [36, Example 6.43].
By this construction, each can be written uniquely as
where is the closest point of to . Thus on we write the Riemannian metric as a function of in the form where is the first fundamental form of the smooth hyper-surface By [36, Proposition 8.18] we can then write the second fundamental form of as a bi-linear form
on . Thus the eigenvalues of are continuous functions of [52, Appendix V, Section 4, Theorem 4A]. Since coincides with , which is strictly convex, we have that for every . Thus there exists so that
Therefore, for small enough , we have that
is an open set of that contains , and whose boundary is a smooth strictly convex hyper-surface of . We choose and set .
Let and choose a distance minimizing unit speed geodesic that connects these points. Now without loss of generality we may assume that for some . If this is not true then the trace of is contained in and we are done.
Since is open and we can choose an interval such that and define a smooth function
Since and are in we may without loss of generality assume that
We aim to verify that is always non-positive. To establish this we show that the maximum value of is attained at the endpoints of the domain interval. So suppose that is attained in some interior point . As is a maximum point of , laying in the interior of the domain interval, it must hold that and . On the other hand since is a geodesic, we have by Weingarten equation [36, Theorem 8.13 (c)] that
(8) |
Here stands for the covariant differentiation along the curve . Therefore is tangential to the strictly convex hyper-surface which implies that This in conjunction with (8) leads into a contradiction with . We have verified that for all any distance minimizing geodesic in , between these points, is contained in . Therefore the equation (7) is true. ∎
By Proposition 7 we may assume that is contained in the interior of some compact, Riemannian manifold with a smooth strictly convex boundary. Moreover the distance function of restricts to the one of . Thus for every where is in we always have that
(9) |
where and are the cut distance and the exit time functions of respectively. Motivated by this observation we define the cut locus of a point as
(10) |
The following result summarizes the basic properties of these sets.
Proposition 8.
Let Riemannian manifold be as in Theorem 4. Let .
-
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The cut locus of the point is a closed set of measure zero.
-
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If and is a unit speed distance minimizing geodesic of between and then at least one of the following holds:
-
(1)
There exists another distance minimizing geodesic from to .
-
(2)
is the first conjugate point to along .
-
(1)
Proof.
The following result introduces an open and dense subset of where the distance function of an interior point is smooth.
Lemma 9.
Let Riemannian manifold be as in Theorem 4. Let . The distance function is smooth precisely in the open and dense set .
Proof.
The proof is identical to the proof of the analogous claim of [45, Chapter 5, Section 9, Corollary 7] thus omitted here. ∎
Proposition 10.
Let Riemannian manifold be as in Theorem 4. Let and . There exist neighborhoods of and of such that the distance function is smooth in the product set .
Proof.
Let be a closed extension of as in Proposition 7. We define a smooth map
Then the differential of this map can be written as
Since is not in the cut locus of there is a such that , and is not singular. Therefore does not vanish. Thus the Inverse function theorem implies that there are neighborhoods of and of such that the local inverse function of ,
is a diffeomorphism.
Let be the extension of as in Proposition 7. Since is not in the cut locus of we have Thus by the continuity of the cut distance function of we can choose a neighborhood of such that
This gives
Finally we choose disjoint neighborhoods of and of such that is contained in . Let then for is a geodesic of that connects to having the length of . Since both and are in , we get from the proof of Proposition 7 that is contained in . This yields
(11) |
Since the sets and are disjoint we have that does not vanish in . Hence equation (11) gives the smoothness of on . ∎
Recall that we have assumed that is isometrically embedded in a closed Riemannian manifold . Thus any geodesic starting from can be extended to the entire . Let . We define the conjugate distance function by the formula:
As the infimum of the empty set is positive infinity we set in the case when the geodesic does not have any conjugate points to . Since geodesics do not minimize the distance beyond the first conjugate point it holds that
The following result is well known, but we could not find its proof in the existing literature, so we provide one below.
Lemma 11.
Let be a closed Riemannian manifold and . The conjugate distance function is continuous on .
Proof.
Let for converge to .
We set
It suffices to show that .
We assume first that . If we choose a sub-sequence of such that converges to . Then and the smoothness of the exponential map gives yielding that is conjugate to along . This implies that , which is impossible. By the same argument we see that .
Let , and by the same limiting argument as above we get . Then we show that . Choose a sub-sequence such that as . For the sake of contradiction we suppose that . By the definition of the conjugate distance function we have that is the first conjugate to along . By [36, Theorem 10.26] for any there exists a piecewise smooth vector field on the geodesic segment , that vanishes on and such that the index form of over is strictly negative. That is
(12) |
Here we used the notation for the covariant differentiation along . The capital stands for the Riemannian curvature tensor.
We choose vectors of that form a basis of and extend them on for via the parallel transport. Since parallel transport is an isomorphism the vector fields constitute a basis of . We write . Since is piecewise smooth it holds that the component functions are piecewise smooth. This lets us ‘extend’ on by the formula
(13) |
where the vector field is the parallel transport of along . Thus is a piecewise smooth vector field on that vanishes at and .
3.2. The Hausdorff dimension of the cut locus
We fix a point for this sub-section. By Lemma 9 we know that for any the distance function is smooth in the open set . Moreover by Proposition 10 for each in this open set there are neighborhoods of and of such that the distance function is smooth in the product set . As we are interested in the inverse problem where we study distance function restricted on some open subset of the boundary, we do not know a priori if this function is smooth on . In particular we do not know the size of the set yet. In this sub-section we show that the set , where is smooth, is always an open and dense subset of .
Proposition 8 yields that can be written as a disjoint union of
- •
-
•
Typical cut points: that can be connected to with exactly two distance minimizing geodesics.
-
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A-typical cut points: that can be connected to with more than two distance minimizing geodesics. Thus an a-typical cut point is both non-conjugate and non-typical.
It was proven in [19] that the Hausdorff dimension of the cut locus on a closed Riemannian manifold is locally an integer that does not exceed . Moreover is a smooth hyper-surface of and the Hausdorff dimension of does not exceed . In this paper we will extended these results for manifolds with strictly convex boundary. The main result of this section is as follows:
Theorem 12.
Let be a smooth, compact, connected, and oriented Riemannian manifold of dimension with smooth and strictly convex boundary. If then
-
(1)
The set of typical cut points is a smooth hyper-surface of that is transverse to .
-
(2)
The Hausdorff dimension of does not exceed .
-
(3)
The Hausdorff dimension of does not exceed .
-
(4)
The set is open and dense in .
For the readers who want to learn more about Hausdorff measure and dimension we suggest to have look at [6, 37]. Some basic properties of the Hausdorff dimension are collected in the following lemma.
Lemma 13.
Basic properties of the Hausdorff dimension are:
-
•
If is a metric space and then .
-
•
If is a metric space and is a countable cover of then .
-
•
If are metric spaces and is a bi-Lipschitz map then for any .
-
•
If is open and is a Riemannian manifold of dimension then .
From here onwards we follow the steps of [19, 42] and develop machinery needed for the proof of Theorem 12. We recall that we have isometrically embedded into the closed Riemannian manifold . The maximal subset where the exponential map of is well defined was given in (4) as
Thus the exponential function of agrees with that of in .
Let be such that the exponential map is not singular at . The Inverse function theorem yields that there are neighborhoods of and of such that is a diffeomorphism. We want to emphasize that even when the set does not need to be contained in . If we equate and we note that the formula
defines a smooth vector field on that satisfies the following properties
(14) |
The vector field is called a distance vector field related to and . Let and . It holds by a similar proof to [42, Lemma 2.2.] that
(15) |
In what follows we will always consider as defined for in equation (10). Let and . By Proposition 8 it holds that there are at least two -distance minimizing geodesics from to . Thus the set
contains at least two points.
By the compactness of and the continuity of the exit time function on the non-trapping part of we get from the assumption that that the set is finite. We write
where is the number of distance minimizing geodesics from to . Since the set is closed in , the complement is relatively open in , and there exists an open neighborhood of such that Thus by the previous discussion for any there are only many distance minimizing geodesics connecting to . Moreover, as the following lemma shows, is a local maximum of the function defined on This statement is an adaptation of the analogous result given in [42].
Lemma 14.
Proof.
Since the set is finite we can choose disjoint neighborhoods for each , so that for each the map is a diffeomorphism on some open set that contains . We want to show that there is a neighborhood of such that for every and for any -distance minimizing unit speed geodesic from to there is such that
Clearly this implies the inequality (16).
If the former is not true then there exist a sequence that converges to and so that for each we have
-
•
-
•
-
•
for is a unit speed distance minimizing geodesic from to .
-
•
.
These imply that
Moreover, the sequence is contained in some compact subset of . After passing to a sub-sequence we may assume and the continuity of the exit time function on the non-trapping part of gives . Thus and by the continuity of we get
Therefore is a -distance minimizing geodesic from to and must coincide with for some . Therefore for large enough . This contradicts the choice of , and possibly after choosing a smaller , we can set . ∎
Suppose now that is a typical cut point, and is a neighborhood of as in Lemma 14. Then by (16) it holds that
(17) |
and are the directions that give the two distance minimizing geodesics from to . Let be the neighborhoods of and and a neighborhood of as in the proof of Lemma 14. Finally we consider the distance vector fields related to and and . Since these vector fields do not vanish on the function
is smooth. The following result is an adaptation of [42, Propositions 2.3 & 2.4].
Lemma 15.
Let Riemannian manifold be as in Theorem 12 and . Let and define the closed manifold as in Proposition 7. Let the neighborhood of and function be as above. Then possibly after choosing a small enough we have
(18) |
Moreover, the set is a smooth hyper-surface of whose tangent bundle is given by the orthogonal complement of the vector field .
Proof.
We prove first the equation (18).
-
•
Let . By the proof of Lemma 14 we can assume that a -distance minimizing unit speed geodesic from to is given by Also for some , but we do not know a priori if for all or equivalently if . However, by the definition of the distance vector fields and the assumption we have that
(19) Let be as in Proposition 7. Thus we can assume that . Since there is so that and for every . Since is an interior point of we can again choose smaller so that for every and , for . Since and is a geodesic of that connects to having the length of , the equation (19) and Proposition 7 imply that for every . Therefore equation (19) gives .
-
•
Let . Thus there are exactly two distance minimizing geodesics of from to . Since , it holds by the proof of Lemma 14 that one of these geodesics has the initial velocity in and the other in . Therefore is zero by the definition of the distance vector fields.
Then we prove that the set is a smooth hyper-surface whose tangent bundle is orthogonal to the vector field . By (15) we get
(20) |
Moreover the vector field does not vanish on , since the geodesics related to these two vector fields are different. This implies that the differential of the map does not vanish in . Thus the set is a smooth hyper-surface of , and by (20) its tangent bundle is given by those vectors that are orthogonal to . ∎
Now we consider the set of conjugate cut points . First we define a function
If we set .
Lemma 16.
Let be a closed Riemannian manifold. Let and be such that . There exists a neighborhood of such that the is the constant function one in .
Before proving this lemma we recall one auxiliary result from linear algebra.
Lemma 17.
Let be a self-adjoint bijective linear operator. Then the index of , the dimension of the largest vector subspace of where is negative definite, equals the amount of the negative eigenvalues of the operator counted up to a multiplicity.
Proof.
The proof follows directly from the spectral theorem and thus we omit it here. ∎
Proof of Lemma 16.
In this proof we adopt the definitions and results of [15, Chapter 11] appearing in the proof of the Morse index theorem. For each and we use the notation for the vector space of all piecewise smooth vector fields that are normal to the geodesic in the interval and vanish at the endpoints. Then we define the function to be the index of the symmetric bilinear form
Hence,
where depends on . Moreover, no , for is conjugate to along . We choose . Thus Lemma 11, gives for close enough to . Our aim is to find a neighborhood of for which
(21) |
Clearly this gives the result of the lemma.
The space can be written as a direct sum of two of its vector sub-spaces and , defined so that index form is positive definite on and the space is finite dimensional. Moreover, these vector spaces are orthogonal. Thus the index of coincides with the index of its restriction on . Since the dimension of is independent of a direction , that is close to , we can identify all the spaces with and consider the bilinear forms as a family of operators on the finite dimensional vector space , depending continuously on the parameter .
For each , we consider the linear operator , corresponding to the bilinear form . Since is not a conjugate point to along , zero is not an eigenvalue of the linear operator . Thus Lemma 17 implies that the operator has negative eigenvalues. Since the eigenvalues of the operator depend continuously on the initial direction , that are near , we can find a neighborhood of such that the linear operator is invertible and has negative eigenvalues for every . Hence, by Lemma 17 we have again that for . We have verified the equation (21). ∎
Lemma 18.
Let be a closed Riemannian manifold, and suppose that is constant in some open set . Then is smooth in .
Proof.
If is zero in then is infinite and we are done. So we suppose that equals to in and get for every .
Let be a base of and use the formula
from [36, Proposition 10.10], to define -Jacobi fields along the geodesic . They span the vector space of all Jacobi fields along that vanish at and are normal to . As we may assume that for , implying and for and . Moreover, the vectors
(22) |
are linearly independent due to [25, Proposition 2.5.8 (ii)] and the properties of the geodesic flow on presented in [43, Lemma 1.40].
Since Jacobi fields are solutions of the second order ODE they depend smoothly on the coefficients of the respective equation. In particular, after choosing smaller if necessary, we can construct the family of Jacobi fields along the geodesic that depend smoothly on , and span the vector space of all Jacobi fields along that vanishes at and are normal to . Therefore the function
is smooth and vanishes at if and only if is conjugate to .
We choose a parallel frame along that is orthogonal to . With respect to this frame we write
for some some smooth functions . From here we get
. Above, is a permutation of the set . Moreover the covariant derivative of along is written as
If is the square matrix whose column vectors are given in the formula (22) we have
Since is constant in the set we have that for every . Therefore the Implicit function theorem gives that the conjugate distance function is smooth in some neighborhood of . Since was chosen arbitrarily the claim follows. ∎
Let be such that . Then by lemmas 6 and 11 the function is well defined and continuous on some neighborhood of . Moreover, we have that
(23) |
The following result is an adaptation of [19, Lemma 2].
Proposition 19.
Let Riemannian manifold be as in Theorem 12 and . The Hausdorff dimension of does not exceed .
Proof.
By (23) we can write the conjugate cut locus as a disjoint union of the sets
and
To prove the claim of this proposition it suffices to show that
(24) |
since clearly we have that
and therefore by the generalization of the classical Sard’s theorem [46] the Hausdorff dimension of is at most .
We choose such that . By the properties of the Jacobi fields normal to , we can identify the kernel with some vector sub-space of
Since we can verify the inclusion (24) if we show that
(25) |
Since we get by lemmas 16 and 18 that there exists a neighborhood of where the conjugate distance and the map are smooth. Let be in the kernel of the differential of the exponential map. Then by the chain and Leibniz rules we get
Therefore if and only if . So we suppose that .
By the Rank theorem [35, Theorem 4.12] we get that the subset of , near , where vanishes is diffeomorphic to a smooth sub-bundle of . Then we use the existence of the ODE theorem to choose a smooth curve such that , and for every . Thus is a smooth curve in that satisfies
(26) |
Since we can assume that on some interval for . Thus by equation (26) and the Fundamental theorem of calculus we get that the length of on is Below we denote the length of as . From here by the assumption and the triangle inequality we get
and the inequality above must hold as an equality. Therefore
and the curve is part of some distance minimizing geodesic of from to that contains . Thus we have after some reparametrization that
for every . By (26) we get that is a parallel to for every . This is not possible unless the geodesics are all the same for every . Hence and are constant curves. This leads to a contradiction. The inclusion (25) is confirmed and the proof is complete. ∎
We are ready to present the proof of Theorem 12.
Proof of Theorem 12.
Let . In this proof we combine the observations made earlier in this section. The proofs of the four sub-claims are given below.
-
(1)
By Lemma 15 we know that is a smooth hyper-surface of whose tangent space is normal to the vector field for . Since and we get from Cauchy-Schwarz inequality that
Thus and hit from different sides. If and these surfaces are tangential to each other at we arrive in a contradiction: Since is normal to both and we can without loss of generality assume that is inward pointing at . This is not possible since the geodesic related to , that connects to , is contained in . Thus by equation (14) is also outward pointing which is not possible.
-
(2)
By Proposition 19 we know that the Hausdorff dimension of the conjugate cut locus does not exceed . If we can prove the same for the set of a-typical cut points the claim (2) follows from Lemma 13.
Recall that is the set of points in that can be connected to with more than two distance minimizing geodesics of . Let and define to be the number of distance minimizing geodesics from to . Then we choose vectors and their respective neighborhoods such that for each
is a diffeomorphism on some open set . Let for be the distance vector fields related to the and . Then we define a collection of smooth functions
By the proof of Lemma 15 it holds that the sets are smooth hyper-surfaces of that contain . Also by [42, Proposition 2.6] it holds that the sets
are smooth submanifolds of of co-dimension two. Next we set and claim that
(27) Since the sets are smooth sub-manifolds of dimension their Hausdorff dimension is also . Thus the equation (27) and Lemma 13 imply that Hausdorff dimension of does not exceed .
Finally we verify the equation (27). If it holds there are at least three distance minimizing geodesics of connecting to . Thus there are so that
which yields
If then for some . Thus by the proof of Lemma 15 it holds that there are at least three distance minimizing geodesics of connecting to . Therefore .
- (3)
-
(4)
Since is a smooth hyper-surface of a -dimensional Riemannian manifold we have by part (1) that is a smooth sub-manifold of dimension , thus it has the Hausdorff-dimension . Also by part (3) we know that the Hausdorff dimension of does not exceed . We have proven that the Hausdorff dimension of the closed set does not exceed . Since the boundary of has the Hausdorff-dimension it follows that is open and dense in . The density claim follows from the observation that by Lemma 13 the set cannot contain any open subsets of as their Hausdorff dimension is .
∎
We are ready to prove Theorem 4.
4. Reconstruction of the manifold
4.1. Geometry of the measurement region
In this section we consider only one Riemannian manifold that satisfies the assumptions of Theorem 4 and whose partial travel time data (1) is known. Let be the outward pointing unit normal vector field at . The inward pointing bundle at the boundary is the set
We restrict our attention to the vectors that are inward pointing and of unit length: . We emphasize that this set or its restriction on the open measurement region is not a priori given by the data (1). Our first task is to recover a diffeomorphic copy of this set. We consider the orthogonal projection
(28) |
and denote the set, that contains the image of , as . It is straightforward to show that the map is a diffeomorphism onto .
For the rest of this section we will be considering the vectors in , and with a slight abuse of notation, each vector represents an inward-pointing unit vector at . In the next lemma we show that the data (1) determines the restriction of on .
Lemma 20.
Proof.
Let . We choose a smooth curve for which and . Since the boundary of is strictly convex the inverse function of the exponential map is smooth and well defined near on . In addition, we have that
We set As the differential of the exponential map at the origin is an identity operator we get From here the continuity of the norm yields
(29) |
By the data (1) and the choice of the path we know the left hand side of equation (29). Therefore we have recovered the length of an arbitrary vector . Moreover, the set is recovered.
Since we know the unit sphere for each the reconstruction of the first fundamental form of can be carried out as explained in the next lemma. ∎
Lemma 21.
Let be a finite dimensional inner product space. Let and Then any open subset of determines the inner product on .
Proof.
This proof is the same as the one in [23, Lemma 3.33] and thus omitted here. ∎
Let . By Theorem 4 we can find a boundary point and neighborhoods and for and respectively such that the distance function is smooth in the product set . For each we let be the unique distance minimizing unit speed geodesic from to . If we decompose the velocity of the geodesic at into its tangential and normal components to the boundary, then the tangential component coincides with the boundary gradient of the travel time function at . For this vector field we use the notation Furthermore, by Lemma 20 we have recovered the metric tensor of the measurement domain . Thus we can compute whenever the respective travel time function is differentiable on .
4.2. Topological reconstruction
We first show that the data (1) separates the points in the manifold .
Lemma 22.
Let be as in Theorem 4. Let be open and be such that for all , then .
Proof.
First we choose open and dense subsets for the points and as we have for the point in Theorem 4. Then we choose any point , neighborhoods of , of and , of as we have for in Theorem 4. Thus the distance function is smooth in the product sets and , where is an open neighborhood of . Moreover for each there exists a unique distance minimizing geodesic of connecting to .
If is the distance minimizing geodesic from to for then by the discussion preceding this lemma we have that represents the tangential component of at . Since the tangential components of and are the same. Since the velocity vectors of at have unit length, they must also coincide. We get
Thus the geodesics and agree and we have . ∎
We are now ready to reconstruct the topological structure of from the partial travel time data (1). Let be the collection of all bounded functions and the supremum norm of . Thus is a Banach space. Since is a compact Riemannian manifold each travel time function , for , is bounded by the diameter of , which is finite. Thus
and the map
(30) |
is well defined.
Proposition 23.
Proof.
By Lemma 22, we know that the map is injective, and by the triangle inequality we get that it is also continuous. Let be a closed set in . Since is a compact Hausdorff space the set is compact. Since the image of a compact set under a continuous mapping is compact, it follows that is closed. This makes a closed map and thus a topological embedding. ∎
4.3. Boundary Determination
We recall that the data (1) only gives us the subset of the boundary, and we do not know yet if the travel time function is related to an interior or a boundary point of . In this subsection we will use the data (1) to determine the boundary of the unknown manifold as a point set. However, due to Proposition 23 we may assume without loss of generality that the topology of is known. Also the set , as in Lemma 20, is known to us.
Let , and define the set,
(31) |
where is the boundary gradient of at . We recall that by Proposition 23 we know the topology of , and by Lemma 20 we know the geometry of . These in conjunction with the data (1) imply that we can recover the set for every . In the next lemma we generalize the result [32, Lemma 2.9] and relate to the maximal distance minimizing segment of the geodesic .
Lemma 24.
Let then .
Proof.
Let and define . Thus is not in the cut locus of (see equation (10)). By Proposition 10 there exist neighborhoods of and respectively, having the property that the distance function is smooth in the product set . Therefore the function is smooth near for any . Furthermore, , and the function is continuous in . Therefore is in and the inclusion is true. This gives .
Let , then is smooth in a neighborhood of and . Thus is the unique distance minimizing geodesic connecting to . Since the geodesic is not distance minimizing beyond the interval we have and therefore ∎
We set
(32) |
Notice that this number is determined entirely by the data (1), as opposed to which requires our knowledge of when the geodesics were distance minimizing. By the following corollary, whose proof is evident, these two numbers are the same.
Corollary 25.
For any we have that .
We will use the sets , for to determine the boundary of . Since the topology of is known by Proposition 23, we can determine the topology of these sets from the data. The next lemma shows if is closed then is on the boundary of .
Lemma 26.
Let . If is closed then .
Proof.
By the definition of we must have .
Suppose that . From Corollary 25 then we also know
(33) |
Let , and by Lemma 24 it holds that . Since we have by Lemma 5, that there either exists a second distance minimizing geodesic from to or is a conjugate point to along . In the first case let such that is another unit-speed distance minimizing geodesic from to . We note that .
Let be a neighborhood of as in (31). We consider a sequence such that as . Then for sufficiently large the points and are in and converge to . By the continuity of the boundary gradient in we have and , when . However, by construction while for all . Thus has multiple values, and is not differentiable at , contradicting that .
If the second case is valid, and since , we get by a similar proof as in [25, Theorem 2.1.12] that the exponential map is not a local injection at . From here [25, Theorem 2.1.14] implies that there is a sequence of points in , that converges to and can be connected to by at least two distance minimizing geodesics. By the same argument as in the previous case, is not differentiable at for any , which contradicts the fact that . Thus inequality (33) cannot occur and we must have . ∎
Lemma 27.
Let and , , and be as in Theorem 4. For every we denote . There exists a neighborhood of such that for all we have that is in the closed set .
Proof.
By these assumptions, in is smooth. Define and , then . Since was chosen to be a point outside the cut locus of , these points are not conjugate to each other along the geodesic connecting them. Therefore the differential of the exponential map is invertible at . From here the claim follows from the Inverse function theorem for near , the continuity of the exit time function on the non-trapping part of , and the inequality
We omit the further details.
∎
Corollary 28.
Let , and be as in Lemma 27. If we denote then is smooth for all .
Proof.
We are now ready to determine the boundary of from the data (1).
Proposition 29.
Let be as in Theorem 4 and . Then if and only if there exists such that and .
Proof.
If then we get from Lemma 27 that there exists such that is in the closed set . By Lemma 26 we have . Firstly the strict convexity of implies that each geodesic has at most two boundary points. Secondly since are both boundary points contained in , which is a trace of a distance minimising geodesic, it follows that
4.4. Local Coordinates
By Proposition 29 we have reconstructed the boundary of the smooth manifold . In this section we use the partial travel time data (1) to construct two local coordinate systems for . Since has a boundary, we need different coordinates systems based on whether or .
Proposition 30.
Proof.
Since the distance function is smooth in also the function is smooth on . By a direct computation we see that the inverse function of , is given as,
where , is the orthogonal projection given in (28). By the smoothness of and the exponential map, it follows that is smooth. Thus, is a diffeomorphism onto its image, which is open in . ∎
In particular, the function , in (34), gives a local coordinate system near the interior point . In order to define a coordinate system for a point at the boundary we will adjust the last coordinate function of to be a boundary defining function.
Proposition 31.
Proof.
Since the distance function is smooth in and we have by Corollary 28, that the map is smooth for all . Thus is smooth in . Again by a direct computation we get that the inverse function of is given as
By the local invertibility of the exponential map at and the equation for , the set is open and the function , in this set is smooth, making smooth. Thus, is a diffeomorphism onto its image, which is open in .
Finally by Proposition 26 we get that if and only if . Thus this function defines the boundary. ∎
Combining the results of Propositions 30 and 31, we know that for , either the function as in (34) or the function as in (35), gives a smooth local coordinate system. Moreover these maps can be recovered fully from the data (1). As these two types of coordinate charts cover the smooth structure on is then the same as the maximal smooth atlas determined by these coordinate charts [36, Proposition 1.17].
4.5. Reconstruction of the Riemannian Metric
So far we recovered both the topological and smooth structures of the Riemannian manifold from the data (1). In this section we recover the Riemannian metric . We recall that by Lemma 20 we know the first fundamental form of .
In order to recover the metric on we consider the distance function
which we have recovered by Proposition 23. Let . By Theorem 4 we can choose and neighborhoods and for and respectively such that the distance function for is smooth. Thus the map
(36) |
is well defined and smooth. Here stands for the differential of the distance function with respect to the variable in the open set and is the cotangent space at . As we have recovered the smooth structure of we can find .
For the gradient for is the velocity of the distance minimizing unit speed geodesic from to (see for instance [36, theorems 6.31, 6.32]). In particular the map
is well defined and satisfies where is the musical isomorphism, raising the indices, given in any local coordinates near as Note that the inverse of is given by , that lowers the indices. Although we know the map , we do not know its sister map .
Lemma 32.
Proof.
Let such that . Since is a linear isomorphism that preserves the inner product, the claim holds due to the local invertibility of the exponential map near , the equality , which is true for all , and the continuity of the exit time function near . We omit the further details. ∎
Finally Lemma 21 in conjunction with the previous lemma lets us recover the inverse metric and thus the metric . This is formalized in the proposition below.
Proposition 33.
Proof.
Let , and be as in Theorem 4. By Proposition 29 we can tell whether is an interior or a boundary point. Based on this we choose local coordinates of as in Proposition 30 or as in Proposition 31. Then we consider the function given in the equation (36). By Lemma 32 we know that image of the function contains an open subset of .
From here, by applying Lemma 21 we determine the inverse metric in the aforementioned coordinates. Finally taking the inverse of determines . As this procedure can be done for any point , which is close enough to , we have recovered the metric near in the appropriate local coordinates. ∎
5. The proof of Theorem 2
Let Riemannian manifolds and be as in Theorem 2. We recall that the partial travel time data of these manifolds coincide in the sense of Definition 1. Let , for , be the Banach space of bounded real valued functions on . We set a mapping
(37) |
where is the diffeomorphism from to . By the triangle inequality we have that is a metric isometry whose inverse mapping is given by Taking , as in the equation (30), we have by the equation (2) in Definition 1 that
Therefore we get from Proposition 23 that the map
(38) |
is a well defined homeomorphism, that satisfies the equation
(39) |
Here is the distance function of . The goal of this section is to show that is a Riemannian isometry. In the following lemma we show first that preserves the Riemannian structure of the measurement regions.
Lemma 34.
Let Riemannian manifolds and be as in Theorem 2. Then and is a Riemannian isometry.
Proof.
In particular we get from this lemma that Next we show that the mapping takes the boundary of onto the boundary of . In light of Proposition 29 we need to understand how this map carries over the sets , as in (31). The following lemma gives an answer to this question.
Lemma 35.
Let Riemannian manifolds and be as in Theorem 2. If then .
Proof.
Clearly we have that . So suppose that . Hence, by the same argument as in the proof of Lemma 26, we get that is not in the cut-locus of . Thus by Proposition 10 we can choose a neighborhood of where the distance function is smooth. Since the map is a homeomorphism the set is open, and we have by (39) that for each , the function is smooth on the open set .
Since is a Riemannian isometry we have that
(40) |
Here stands for the differential, for the boundary gradient of and for that of . Since the right hand side of equation (40) is continuous in , the function
is continuous in . Finally
implies
On the other hand after reversing the roles of and we can use the same proof to show , implying This ends the proof. ∎
Lemma 36.
Let Riemannian manifolds and be as in Theorem 2. Then . Moreover, .
Proof.
Let . Due to Proposition 29 there is a such that is in the closed set and . Thus Lemma 35 gives and since is a homeomorphism, also the set is closed and contains . Furthermore, by equation (39) we have that Therefore
From here Proposition 29 implies that is in . Thus and by using the same argument for it follows that . Since and are disjoint and is a bijection we also have that . ∎
Lemma 37.
Proof.
Let , and choose as in Theorem 4. Since is a diffeomorphism, the set is open and dense in . Then for we choose as in Theorem 4 and consider the non-empty open set . We pick such that .
Let neighborhoods of and of be such that the distance function is smooth in the product set . We also choose neighborhoods of and of to be such that the distance function is smooth in the product set . Since is a homeomorphism we may choose these four sets in such a way that they satisfy
By Lemma 36 we know that if and only if , and if and only if . Next we consider the interior and boundary cases separately.
Suppose first that is an interior point of . The functions
and
as in Proposition 30, are smooth local coordinate maps of and respectively. Moreover, by the computations done in the proof of Lemma 35 we get for every that
Therefore for any we have that
Thus we have proven that the map is smooth.
Then we let be a boundary point of . Let for and choose as in Lemma 27 to be such that the set is closed and the function is smooth for every . Let and denote for . Since we have that it holds by Lemma 35 that the set is closed for every , and thus the function is smooth by Corollary 25. Moreover, we have for every .
Then we consider local coordinate maps
of and
of , as in Proposition 31. By the discussion above we have for any that
which implies that the map is smooth.
By combining these two cases we have proved that for every a local representation of the map is smooth, making smooth. Finally by an analogous argument for we can show that this map is also smooth. Thus is a diffeomorphism as claimed. ∎
We are ready to present the proof of our main inverse problem:
Proof of Theorem 2.
By Lemma 37 we know that the map is a diffeomorphism. We define a metric tensor on as the pull back of the metric with respect to map . Thus it suffices to consider a smooth manifold with an open measurement region and two Riemannian metrics and . Moreover is strictly convex with respect to both of these metrics.
References
- [1] R. Alexander and S. Alexander. Geodesics in Riemannian manifolds-with-boundary. Indiana University Mathematics Journal, 30(4):481–488, 1981.
- [2] Y. M. Assylbekov and H. Zhou. Boundary and scattering rigidity problems in the presence of a magnetic field and a potential. Inverse Problems & Imaging, 9(4):935–950, 2015.
- [3] R. Bartolo, E. Caponio, A. V. Germinario, and M. Sánchez. Convex domains of Finsler and Riemannian manifolds. Calculus of Variations and Partial Differential Equations, 40(3-4):335–356, 2011.
- [4] M. I. Belishev and Y. V. Kurylev. To the reconstruction of a Riemannian manifold via its spectral data (Bc–Method). Communications in partial differential equations, 17(5–6):767–804, 1992.
- [5] R. L. Bishop. Infinitesimal convexity implies local convexity. Indiana Univ. Math. J, 24(169-172):75, 1974.
- [6] D. Burago, Y. Burago, and S. Ivanov. A course in metric geometry, volume 33. American Mathematical Soc., 2001.
- [7] D. Burago and S. Ivanov. Boundary rigidity and filling volume minimality of metrics close to a flat one. Annals of mathematics, pages 1183–1211, 2010.
- [8] V. Cerveny. Seismic ray theory. Cambridge university press, 2005.
- [9] C. B. Croke et al. Rigidity and the distance between boundary points. Journal of Differential Geometry, 33(2):445–464, 1991.
- [10] N. S. Dairbekov, G. P. Paternain, P. Stefanov, and G. Uhlmann. The boundary rigidity problem in the presence of a magnetic field. Advances in mathematics, 216(2):535–609, 2007.
- [11] M. V. de Hoop, J. Ilmavirta, M. Lassas, and T. Saksala. Stable reconstruction of simple Riemannian manifolds from unknown interior sources. arXiv preprint arXiv:2102.11799, 2021.
- [12] M. V. de Hoop, J. Ilmavirta, M. Lassas, and T. Saksala. A foliated and reversible Finsler manifold is determined by its broken scattering relation. Pure and Applied Analysis, 3(4):789–811, 2022.
- [13] M. V. de Hoop, J. Ilmavirta, M. Lassas, and T. Saksala. Determination of a compact Finsler manifold from its boundary distance map and an inverse problem in elasticity. Communications in Analysis and Geometry, arXiv:1901.03902, to be appear, arXiv preprint 2019.
- [14] M. V. de Hoop and T. Saksala. Inverse problem of travel time difference functions on a compact Riemannian manifold with boundary. The Journal of Geometric Analysis, 29(4):3308–3327, 2019.
- [15] M. P. do Carmo. Riemannian geometry. Birkhäuser, 1992.
- [16] J. J. Duistermaat and L. Hörmander. Fourier integral operators. ii. Acta mathematica, 128:183–269, 1972.
- [17] J. J. Duistermaat and L. Hörmander. Fourier integral operators, volume 2. Springer, 1996.
- [18] A. Greenleaf and G. Uhlmann. Recovering singularities of a potential from singularities of scattering data. Communications in mathematical physics, 157(3):549–572, 1993.
- [19] J.-I. Itoh and M. Tanaka. The dimension of a cut locus on a smooth Riemannian manifold. Tohoku Mathematical Journal, Second Series, 50(4):571–575, 1998.
- [20] S. Ivanov. Local monotonicity of Riemannian and Finsler volume with respect to boundary distances. Geometriae Dedicata, 164(1):83–96, 2013.
- [21] S. Ivanov. Distance difference functions on non-convex boundaries of Riemannian manifolds, 2020. arXiv:2008.13153.
- [22] S. Ivanov. Distance difference representations of Riemannian manifolds. Geometriae Dedicata, 207(1):167–192, 2020.
- [23] A. Katchalov, Y. Kurylev, and M. Lassas. Inverse boundary spectral problems, volume 123 of Monographs and Surveys in Pure and Applied Mathematics. Chapman & Hall/CRC, Boca Raton, FL, 2001.
- [24] A. Katsuda, Y. Kurylev, and M. Lassas. Stability of boundary distance representation and reconstruction of Riemannian manifolds. Inverse Problems & Imaging, 1(1):135, 2007.
- [25] W. Klingenberg. Riemannian geometry, volume 1. Walter de Gruyter, 1982.
- [26] Y. Kurylev. Multidimensional Gel’fand inverse problem and boundary distance map. Inverse Problems Related with Geometry (ed. H. Soga), pages 1–15, 1997.
- [27] Y. Kurylev, M. Lassas, and G. Uhlmann. Rigidity of broken geodesic flow and inverse problems. American journal of mathematics, 132(2):529–562, 2010.
- [28] Y. Kurylev, M. Lassas, and G. Uhlmann. Inverse problems for Lorentzian manifolds and non-linear hyperbolic equations. Inventiones mathematicae, 212(3):781–857, 2018.
- [29] Y. Kurylev, L. Oksanen, and G. P. Paternain. Inverse problems for the connection Laplacian. Journal of Differential Geometry, 110(3):457–494, 2018.
- [30] M. Lassas. Inverse problems for linear and non-linear hyperbolic equations. Proceedings of International Congress of Mathematicians – 2018 Rio de Janeiro, 3:3739–3760, 2018.
- [31] M. Lassas and L. Oksanen. Inverse problem for the Riemannian wave equation with Dirichlet data and Neumann data on disjoint sets. Duke Mathematical Journal, 163(6):1071–1103, 2014.
- [32] M. Lassas and T. Saksala. Determination of a Riemannian manifold from the distance difference functions. Asian journal of mathematics, 23(2):173–200, 2019.
- [33] M. Lassas, T. Saksala, and H. Zhou. Reconstruction of a compact manifold from the scattering data of internal sources. Inverse Problems & Imaging, 12(4), 2018.
- [34] M. Lassas, G. Uhlmann, and Y. Wang. Inverse problems for semilinear wave equations on Lorentzian manifolds. Communications in Mathematical Physics, pages 1–55, 2018.
- [35] J. M. Lee. Introduction to Smooth Manifolds. Springer, 2013.
- [36] J. M. Lee. Introduction to Riemannian manifolds. Springer, 2018.
- [37] P. Mattila. Geometry of sets and measures in Euclidean spaces: fractals and rectifiability. Cambridge university press, 1999.
- [38] R. Meyerson. Stitching data: Recovering a manifold’s geometry from geodesic intersections. The Journal of Geometric Analysis, 32(3):1–22, 2022.
- [39] R. Michel. Sur la rigidité imposée par la longueur des géodésiques. Inventiones mathematicae, 65(1):71–83, 1981.
- [40] T. Milne and A.-R. Mansouri. Codomain rigidity of the Dirichlet to Neumann operator for the Riemannian wave equation. Trans. Amer. Math. Soc., 371:8781–8810, 2019.
- [41] K. Mönkkönen. Boundary rigidity for Randers metrics. arXiv:2010.11484, 2020.
- [42] V. Ozols. Cut loci in Riemannian manifolds. Tohoku Mathematical Journal, Second Series, 26(2):219–227, 1974.
- [43] G. P. Paternain. Geodesic flows, volume 180. Springer Science & Business Media, 2012.
- [44] L. Pestov and G. Uhlmann. Two dimensional compact simple Riemannian manifolds are boundary distance rigid. Annals of mathematics, pages 1093–1110, 2005.
- [45] P. Petersen. Riemannian geometry, volume 171. Springer, 2006.
- [46] A. Sard. Hausdorff measure of critical images on Banach manifolds. American Journal of Mathematics, 87(1):158–174, 1965.
- [47] V. A. Sharafutdinov. Integral geometry of tensor fields, volume 1. Walter de Gruyter, 1994.
- [48] P. Stefanov, G. Uhlmann, and A. Vasy. Boundary rigidity with partial data. Journal of the American Mathematical Society, 29(2):299–332, 2016.
- [49] P. Stefanov, G. Uhlmann, and A. Vasy. Local and global boundary rigidity and the geodesic x-ray transform in the normal gauge. Annals of Mathematics, 194(1):1–95, 2021.
- [50] G. Uhlmann. Inverse boundary value problems for partial differential equations. In Proceedings of the International Congress of Mathematicians, Berlin, pages 77–86, 1998.
- [51] Y. Wang and T. Zhou. Inverse problems for quadratic derivative nonlinear wave equations. Communications in Partial Differential Equations, 44(11):1140–1158, 2019.
- [52] H. Whitney. Complex analytic varieties, volume 131. Addison-Wesley Reading, 1972.