Range characterizations and Singular Value Decomposition of the geodesic X-ray transform on disks of constant curvature
Rohit Kumar Mishra, Fran\c{c}ois Monard

TL;DR
This paper provides explicit range characterizations and a singular value decomposition for the geodesic X-ray transform on disks with constant curvature, enhancing understanding of its mathematical structure and computational aspects.
Contribution
It explicitly characterizes the range and co-kernel of the geodesic X-ray transform on constant curvature disks and derives its singular value decomposition.
Findings
Explicit basis for the transform's range and co-kernel.
Moment conditions analogous to classical integral geometry.
A specific weighted $L^2$ setting for computations.
Abstract
For a one-parameter family of simple metrics of constant curvature ( for ) on the unit disk , we first make explicit the Pestov-Uhlmann range characterization of the geodesic X-ray transform, by constructing a basis of functions making up its range and co-kernel. Such a range characterization also translates into moment conditions {\it \`a la} Helgason-Ludwig or Gel'fand-Graev. We then derive an explicit Singular Value Decomposition for the geodesic X-ray transform. Computations dictate a specific choice of weighted setting which is equivalent to the one for any .
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Range characterizations and Singular Value Decomposition of the geodesic X-ray transform on disks of constant curvature
Rohit Kumar Mishra Department of Mathematics, University of Texas at Arlington, 655 W Mitchell Street, Arlington, TX 76010; email: [email protected]
François Monard Department of Mathematics, University of California Santa Cruz, 1156 High St, Santa Cruz, CA 95064; email: [email protected]; The authors ackowledge funding from NSF grant DMS-1814104.
Abstract
For a one-parameter family of simple metrics of constant curvature ( for ) on the unit disk , we first make explicit the Pestov-Uhlmann range characterization of the geodesic X-ray transform, by constructing a basis of functions making up its range and co-kernel. Such a range characterization also translates into moment conditions à la Helgason-Ludwig or Gel’fand-Graev. We then derive an explicit Singular Value Decomposition for the geodesic X-ray transform. Computations dictate a specific choice of weighted setting which is equivalent to the one for any .
1 Introduction
Our object of study is the geodesic X-ray transform on a special family of simple surfaces. To give some context, fix a Riemannian surface , with strictly convex boundary and no infinite-length geodesic. Denote its unit circle bundle . The manifold of geodesics can then be modelled over the inward boundary (points in such that and points inwards), carrying the surface measure inherited from the Sasaki volume form on . In this context, one defines the geodesic X-ray transform as
[TABLE]
where is the unit-speed geodesic with and , and is its first exit time. In integral geometry, one is concerned with the reconstruction of from knowledge of , a problem with various generalizations (to tensor fields, general flows and sections of bundles), whose answer may depend on geometric features of the underlying metric, see [8] for a recent topical review. Under the additional assumption that has no conjugate points111The three assumptions of convex boundary, no infinite-length geodesic, and no conjugate points, are summed up into the term simple manifold., positive answers to this problem can be provided, with varying degrees of explicitness. The problem is known to be injective in general [24]; the function can be reconstructed via explicit inversion formulas in constant curvature spaces [28, 6], and modulo compact error in variable curvature [26, 11, 21]. In [26], a general range characterization of is given in terms of a ’boundary’ operator (i.e., from a spaces of functions on to itself), which was proved by the second author in [22] to be equivalent to the classical moment conditions (see Helgason-Ludwig [16, 6] or Gel’fand-Graev [5]) in the Euclidean case.
Of crucial importance for practical purposes is the knowledge of the Singular Value Decomposition (SVD) of the operator , be it for truncation and regularization purposes [25, 1], to understand the structure of ’ghosts’ in the case of discrete data [13, 14], or to seek low-dimensional ansatzes in the case of incomplete data [15, 12]. Several results on the SVD of ray transforms have been obtained, mainly existing in the Euclidean case: on functions in [20, 17, 18, 19, 27, 25], tensor fields in [10] and for the transverse ray transform in [4]. Other transforms on circularly-symmetric families of curves have extensively been studied, see e.g. [2, 3, 29], though the literature on the SVD of the X-ray transform for families of geodesic curves remains scarce to the authors’ knowledge. We present below a case where the SVD can be computed in a geodesic context with metrics of constant curvature , , on the unit disk . While an extension of the results to the case of “Herglotz” type metrics222By “Herglotz” type metric, we mean a scalar, rotation-invariant metric satisfying a non-trapping condition. seems natural and of interest to the authors, the explicitness of the present results hinges on Lemmas 5 and 6 below, which at the moment take the form of calculations specific to constant curvature.
As the works [20, 18, 19] show, even in the Euclidean case there are a few ’natural’ choices of weighted settings to be decided upon, for which the SVD of may or may not be computationally tractable. The current generalization to Riemannian settings gives even more options of weights to be chosen for the target space, and somewhat surprisingly, the most ’tractable’ codomain topology so far is . In this case, the SVD functions obtained on involve the Zernike polynomials [31], up to some rational diffeomorphism and multiplication by an appropriate -dependent weight. The functions obtained are no longer polynomials, however.
Although the calculations of the present article are self-contained, several aspects of X-ray transforms motivate this work and the intuition behind it. A reader interested on aspects related to transport equations on the unit circle bundle, and/or microlocal aspects, may find relevant information in the expository paper [8] and the references there. In some ways, the approach of the present paper follows that of [22], where the X-ray transform on the Euclidean disk is treated. There, Euclidean geometry is nice enough that a full understanding of the X-ray transform defined on more general classes of integrands (vector fields and tensor fields) can be obtained, and the present results represent a first step towards achieving that same level of understanding on constant curvature spaces.
Lastly, in their connection with inverse problems, an important motivation for our results is the following: while it is documented that X-ray transforms are mildly ill-posed of order on simple surfaces, and severely ill-posed on some non-simple surfaces (see, e.g., the works [30, 23, 7] which address the unconditional instability incurred by conjugate points), no analysis has been made of this transition of behavior as a metric evolves from simple to non-simple. The current article presents the first analysis that quantifies what happens as one approaches some borderline cases of simplicity, by fully describing the action of the geodesic X-ray transform along a one-parameter curve of metrics, whose endpoints are two such borderline cases (as , the manifold becomes non-compact; as , the manifold has conjugate points on its boundary, and the latter is also no longer convex).
Main results.
As has infinite-dimensional co-kernel inside , we first endeavor to explicitly characterize this co-kernel. To this end, we use range characterization ideas coming from Pestov-Uhlmann [26] and refined in Proposition 17 below. These range characterizations reframe the range of in terms of the range of an operator , or alternativaly in terms of the kernel of an operator introduced in [22]. These operators, initially motivated by how the fiberwise Hilbert transform acts on solutions of the geodesic transport equation inside (see, e.g., [26, §4]), admit a final expression solely in terms of “boundary operators”, namely, the scattering relation and the fiberwise Hilbert transform on the fibers of , given in (29) below. As they are highly relevant in order to understand the range of , yet their intuitive understanding is limited at this point, a workaround is to build their eigendecompositions in geometries where the scattering relation can be explicitly worked out. Such an endeavor was first carried out in [22] in the case of the Euclidean disk, and a first salient feature of the present article is to generalize some of the results there, to the case of the unit disk equipped with the metric
[TABLE]
of constant curvature for any fixed . Specifically, we establish the singular value decomposition of the operators and when viewed as operators from into itself, see Theorem 9 below. This in particular allows to formulate a few range characterizations of . First note that as a function on , the X-ray transform of a function takes the same value whether one integrates from one end of a geodesic or the other. This gives a first symmetry, encapsulated by the map (13), mapping one end of a geodesic to the other. By we denote the pullback .
Theorem 1**.**
Let be equipped with the metric (1) for fixed. Suppose such that . Then the following conditions are equivalent:
(1) belongs to the range of .
(2) There exists such that .
(3) .
(4) satisfies a complete set of orthogonality/moment conditions: for all and such that or , where in fan-beam coordinates,
[TABLE]
In the Euclidean case where , the functions are given in (42), , and the content of Theorem 1 is established in [22, Theorem 2.3, §4]. Similarly to [22, §4.4], the characterization presents the advantage over that can be used to construct a projection operator (more precisely, ), allowing for example to project noisy data onto the range of , see Theorem 10 below. The orthogonality conditions are indexed over the eigenfunctions of associated with nontrivial eigenvalues.
Now that Theorem 1 allows to isolate distinguished functions in which are orthogonal, and to accurately locate the range of , one is then tempted to apply the adjoint for in this topology, and show that the functions so obtained are orthogonal for a specific choice of measure on , thereby finding the SVD of (some version of) in the process. The second salient feature of this article is to carry this agenda in full extent, adapting the Euclidean scenario (whose outcome produces the Zernike polynomials, presented as in [10], see also Figure 1 and Section 4.1), to the case of constant curvature disks. The method of proof consists in relating the case with the case by constructing diffeomorphisms on and which intertwine the adjoints of associated with each geometry. To formulate the theorem, in addition to and , we also define
[TABLE]
where are the Zernike polynomials in the convention of [10]. The radial profiles of the functions for low values of and are given Figure 2. The family is a complete orthogonal system of where with norm . In addition, the family is a complete orthogonal system of the space , with norm . We formulate our second main result as follows:
Theorem 2**.**
Let be the unit disk equipped with the metric defined in (1) for , with volume form . Let , defined as above and denote and their normalizations in the respective spaces and . Then given any , admitting a unique expansion
[TABLE]
we have
[TABLE]
In particular, the Singular Value Decomposition of is .
The case recovers the Euclidean case , where (the Zernike polynomials as presented in [10]), is given in (42) and . The appearance of the weight is a result of the method. For any , since is bounded above and below by positive constants, the topologies and are equivalent.
Outline.
The remainder of the article is structured as follows. In Section 2, we first introduce the geometric models considered and compute their scattering relation, involving in particular an important function (equal to in the Euclidean case). In Section 3, we construct the SVD’s of the operators and , which help describe the range of the geodesic X-ray transform in Theorem 1. Finally, in Section 4, we construct the SVD of an appropriate adjoint of , and give a proof of Theorem 2.
Remark 3** (On notation).**
In what follows, we will always work with one fixed value of , and all quantities are -dependent, whether specified in the notation or not. Our choice for keeping some of the “” is mainly motivated by the fact that some equations such as (2) involve quantities associated with two different geometries (the one for some , and the Euclidean one). The following may give a sample of which ones generally include in the notation and which ones do not:
[TABLE]
2 Preliminaries
2.1 Geometric models and their isometries
For fixed , we consider the unit disk equipped with the metric , , of constant curvature . Fixing , we will denote the unit circle bundle as
[TABLE]
A point in will be parameterized by , where describes the tangent vector . The boundary is parameterized in fan-beam coordinates , where denotes a point on and denotes the direction of the tangent vector with respect to the inward normal, of direction . The boundary is equipped with a natural measure , coming from restricting the Sasaki metric defined on . The boundary has two distinguished components: the inward boundary and the outward one which intersect at tangential vectors, where .
For fixed , the manifold can be viewed as a simple surface included in the Riemann sphere and for , the manifold can be viewed as a simple surface included in the hyperbolic space , where . In either case, recovers the standard Euclidean disk. As , simplicity breaks down for two different reasons: becomes a “hemisphere” with totally geodesic (i.e., non-convex) boundary and is, up to some scalar constant333Customarily, the Poincaré disk carries four times this metric., the Poincaré disk, non-compact. In the latter, the interior of is geodesically complete, all geodesics are asymptotically normal to the boundary and the fan-beam coordinate system breaks down.
To compute geodesics, we will use the action of isometries of either model, to move the following obvious geodesics
[TABLE]
One can find those isometries by conjugating the automorphisms of the Poincaré disk or the Riemann sphere with appropriate homotheties, which would result in subgroups of Möbius transformations. Under this latter assumption, let us find those directly, with the immediate observation that a Möbius transformation pushes forward a tangent vector to . We will also write interchangeably.
Lemma 4**.**
For , the isometry group of is given by
[TABLE]
For , the isometry group of is given by
[TABLE]
Proof.
The proofs of (6) and (9) are identical. We seek a Möbius transformation with such that for all . This is recast as
[TABLE]
which yields, for all in the space considered
[TABLE]
This is equivalent to having the relations
[TABLE]
Multiplying the second by and using the first and , we get
[TABLE]
hence . Similarly, multiplying the same equation by yields
[TABLE]
So . Finally, these two relations are necessary and sufficient to describe (6) and (9). ∎
Now, given corresponding to a unit tangent vector , we want to find the element which maps to , satisfying
[TABLE]
Seeking for an element of the form (6) or (9) immediately leads to the unique transformation
[TABLE]
2.2 Scattering relation
We generally define the scattering relation as
[TABLE]
where denotes the geodesic flow on a Riemannian manifold and denotes the first exit time of the geodesic . In our case, we now compute this relation explicitly.
First notice by rotation-invariance and symmetry of the family of curves, that in fan-beam coordinates, one expects an expression of the form for some function to be determined. To determine , we then set . We first compute the geodesic through the point with . From the previous section, the unique isometry mapping to that point is given by
[TABLE]
so that with defined in (3) is the geodesic we seek. We then solve for with , the point at which that geodesic exists the domain , and obtain
[TABLE]
In particular,
[TABLE]
The number inside the argument belongs to the right-half plane so that we may compute that
[TABLE]
In particular, in fan-beam coordinates, given , the scattering relation is given by
[TABLE]
recovering the Euclidean case [22] as , and becoming degenerate as .
2.2.1 Scattering signatures
The function defined as
[TABLE]
may be thought of as a ’scattering signature’ of each geometry , in that it is the only function that distinguishes two circularly symmetric scattering relations on the unit disk. The function describes how, fixing the endpoint at the boundary, the other endpoint of a geodesic moves as the inward-pointing vector above changes. Strikingly (though this is inconsequential for what follows), we have for all . This can be interpreted as the fact that the geodesic ’spread’ at the boundary induced by negative curvature inside the disk can be undone by precisely changing the sign of the curvature.
As we will work with only one fixed value of at a time, we may drop the subscript for conciseness. The scattering relation and antipodal scattering relation (composition of with the antipodal map ) take the form
[TABLE]
The map is a diffeomorphism of , and are both -stable. Since integrating a function does not depend on the direction of integration, the ray transform of a function is always invariant under the pullback . For later, we record that the function satisfies the following obvious properties:
[TABLE]
The jacobian of takes the expression
[TABLE]
In particular, for all and can be used as a multiplicative weight on spaces, that yields an equivalent topology. In the Euclidean case, , and therefore no distinction is necessary. In the work that follows, it will be crucial to work with , or a combination of both. To this end, we now describe some important relations between the two.
2.2.2 Linear fractional relation between and and its consequences
An important calculation is the following: with , , we compute
[TABLE]
or in short,
[TABLE]
The following Lemma will be crucial. Below we will say that a function is a holomorphic/strictly holomorphic/antiholomorphic/strictly antiholomorphic in if its Fourier expansion in only contains non-negative/positive/non-positive/negative powers of .
Lemma 5**.**
For any , the function is a holomorphic, even series in , with average . As a result, for any , is a holomorphic, even series in , and for , is an anti-holomorphic, even series in .
Proof.
Use a geometric sum in (14) to obtain
[TABLE]
The other consequences follow from the fact that products of holomorphic series are holomorphic. ∎
The relation (19) also turns into a relation for the cosines:
[TABLE]
Taking the real part, we obtain
[TABLE]
which inverts as
[TABLE]
Using these relations, one may derive useful representations of the jacobian :
[TABLE]
2.2.3 Relation between and
While there is no obvious relation between and (and it is unclear whether is holomorphic in terms of ), some crucial relations are to be derived. A first one is that can be writen as an expression of both and .
Lemma 6**.**
With as given in (12), we have
[TABLE]
Proof.
Recall the formula
[TABLE]
Define , then an immediate calculation shows that
[TABLE]
Further, notice that
[TABLE]
So is in fact real-valued, and using (26), it is nothing but . ∎
Multiplying (25) by and identifying real and imaginary parts, we obtain relations for the sines and cosines:
[TABLE]
3 Singular Value Decomposition of the boundary operators and moment conditions for .
Out of the scattering relation (10), one defines operators of extension from to by evenness/oddness with respect to the scattering relation:
[TABLE]
with adjoints for . For , the function is defined as with the unit inner normal to , in particular in fan-beam coordinates, this is nothing but .
In the circularly symmetric case, since , and are also adjoints of one another in the setting. In the smooth setting, as such extensions may generate singularities at the tangential directions, one must define, somewhat tautologically for now,
[TABLE]
see Appendix A for more detail, and for their further decompositions into spaces in Eq. (64). We define the fiberwise Hilbert transform , defined in fan-beam coordinates as
[TABLE]
with the convention that . Then write , where is the restriction of onto even/odd Fourier modes. Out of these operators, we can then define two important operators
[TABLE]
One of the purposes of this section will be to compute the SVD’s of and for the topology. The relevance of these operators comes from the range characterization described in Proposition 17, which tell us that understanding the range of reduces to understanding the range of on . Moreover, understanding provides another range characterization for , together with operators for projecting noisy data onto the range of .
In Section 3.1, we first give a characterization of the spaces in terms of ’natural’, distinguished bases. We then modify these bases in Section 3.2 so as to construct the SVD’s of and . Finally in Section 3.3, we then formulate the range characterizations of , together with some consequences and applications.
3.1 Description of the spaces
In cases where the scattering relation admits an explicit expression, we can construct bases for defined in Eq. (64) using appropriate Fourier series, ruling out some coefficients by symmetry arguments. Upon defining the family
[TABLE]
we can formulate the following
Proposition 7**.**
In the models , , the spaces are spanned444in the sense of expansions with rapid decay. This decay is inherited from the rapid decay of Fourier series of smooth periodic functions, as in Eq. (35). by:
[TABLE]
Proof.
Let . Since the function is smooth on the torus , it can be written as a Fourier series
[TABLE]
for some coefficients with rapid decay in the sense that
[TABLE]
This implies the following expression for :
[TABLE]
Upon looking at defined in (30), we find that
[TABLE]
so that
[TABLE]
Now fix and . If , then satisfies
[TABLE]
At the level of the Fourier coefficients, this means
[TABLE]
For , equality forces for all odd, and using equality implies (31) and (34) upon writing . For , equality forces for all even, and equality implies (32) and (33) upon writing . ∎
3.2 Singular value decompositions of and
Recall the definitions (29) of and , where according to Appendix A, is naturally defined on and is naturally defined on .
Functions which transform well under or must be nicely compatible with both the fiberwise Hilbert transform (28) and the scattering relation (10). The bases displayed in (32) and (33) do the latter but not the former. These are naturally orthogonal in , and to make them orthogonal in (a space where is naturally self-adjoint), a natural modification is to multiply these bases by . Let us then define, for ,
[TABLE]
Combining (36) with the fact that
[TABLE]
we immediately obtain for every ,
[TABLE]
Regarding as fiberwise odd functions on , their fiberwise Hilbert transform can be computed, using in an important way the factor.
Lemma 8**.**
For all , we have .
Proof.
For , is, by virtue of Lemma 5, times a fiber-holomorphic series, so it is strictly holomorphic and as such satisfies .
For , we write . By virtue of Lemma 5 again, the last factor is antiholomorphic, while upon complex-conjugating (20),
[TABLE]
is a strictly antiholomorphic series. The product is thus strictly antiholomorphic in , therefore . The formula follows. ∎
Constructing functions with symmetries under , we then define
[TABLE]
Such bases have the natural redundancies
[TABLE]
Upon removing these redundancies in the set of indices, we can rewrite (32) and (33) as
[TABLE]
Finally, we note how the basis elements transform under :
[TABLE]
Now, given the properties satisfied by , , , the action of and and on them are formally identical as in the Euclidean case, and the same calculation as in [22, p. 444] allows to deduce that for any in the appropriate range,
[TABLE]
Since the families and are orthogonal in , this automatically produces the singular value decompositions of and , viewed as operators from that space into itself. The statements are identical to those of the Euclidean case made in [22, Prop. 1 and 2] (except that the definitions of and differ from [22] by a fixed constant). Below we denote the orthogonal splitting
[TABLE]
Theorem 9**.**
Given , let be the unit disk equipped with the metric (1) and define as in (29). The SVD of the operator is given by: for any with ,
[TABLE]
The eigendecomposition of is given by: for any with ,
[TABLE]
3.3 Consequences of Theorem 9: range characterizations of and a projection operator
With all the facts collected in the previous sections, we can now prove Theorem 1.
Proof of Theorem 1.
’(1) (2)’ is Proposition 17.
’(2) (3)’ comes from the fact that as readily seen from (38), and ’(3) (2)’ comes from the fact that has zero kernel on (as a subspace of ).
’(3) (4)’ is a characterization by orthogonality of . The formulation in terms of functions is obtained through the re-indexing (41) performed in the next sections. ∎
Projection of noisy data onto the range of .
In addition, for purposes of projection of noisy data onto the range of , an immediate consequence of Theorem 9 is the following :
Theorem 10**.**
Let be equipped with the metric for fixed, and define as in (29). Then the operator is the orthogonal projection operator onto the range of .
Proof.
Following Theorem 9, a direct computation at the level of the eigenvectors gives:
[TABLE]
∎
4 Singular Value Decomposition of the X-ray transform
A conclusion of Theorem 1 is that the range of is spanned by
[TABLE]
an orthogonal family in . In what follows, the goal is to apply an appropriate adjoint for to the family (39), and find a topology for which the functions obtained are orthogonal. Most adjoints for are constructed out of a distinguished one which we denote : it corresponds to the adjoint of , which in our setting takes the expression
[TABLE]
where are the fan-beam coordinates of the unique -geodesic passing through , or ’footpoint map’.
In what follows, we will first recall in Section 4.1 what is known in the Euclidean case, before showing that combining this knowledge with our previous derivations ultimately allows to produce the SVD of the X-ray transform in Section 4.2. Proofs of some intermediary lemmas are relegated to Section 4.3.
4.1 Euclidean case - Zernike polynomials
It may be convenient to reparameterize the set (39) to make the Zernike basis appear, in the form that it is presented in [10]. Specifically, for and , we reparameterize the basis of as instead, i.e. we have involved the change of index
[TABLE]
Then an immediate calculation yields
[TABLE]
and we now want to compute . Together with the definition of and the relations satisfied by the Euclidean footpoint map for all :
[TABLE]
we arrive at the expression
[TABLE]
With the relation , we may rewrite this as
[TABLE]
where we have defined
[TABLE]
The functions are related to the Chebychev polynomials of the second kind , specifically through the relation . In particular, it is immediate to check the 2-step recursion relation and initial conditions
[TABLE]
By induction, the top-degree term of is . Fixing , we now split the calculation into two cases:
Case or .
In light of (43), since is a polynomial of degree , then is a trigonometric polynomial of degree in . In particular, if or , then and thus the right hand side of (43) is identically zero. In short, we deduce
[TABLE]
Case .
For the remaining cases, we then define , and for the sake of self-containment, we now show that the functions so constructed are the Zernike basis in the convention of [10], by showing that they satisfy Cauchy-Riemann systems and take the same boundary values.
Lemma 11**.**
The functions satisfy the following properties: For all
[TABLE]
Proof.
Using the relation , we arrive at the expression
[TABLE]
With and , we compute
[TABLE]
Plugging these into (47) immediately implies
[TABLE]
In addition, we compute
[TABLE]
where the second equality comes from the fact that the lower-order terms of have no harmonic content along . Finally, the constant is
[TABLE]
In short, . This also implies and since we have , we deduce that .
To prove the boundary condition, using that , it is enough to show that for every and . That this is true for and follows from the expressions just computed, and the general claim follows by induction on once the following equality is satisfied:
[TABLE]
To prove (49), it suffices to input the recursion into the expression (47), and to evaluate it at . ∎
From Lemma 11, we see that the family so defined satisfies the characterization (b) of [10, Theorem 1] of the Zernike polynomials. One may see that this characterization defines the same family due the following facts: for and , the functions in both sets agree; by induction on , in both sets of functions, satisfies a equation with same right-hand side and same boundary condition, for which a solution is unique if it exists.
We can then use some of the properties given in [10], in particular, the following orthogonality property
[TABLE]
and the fact that is an orthonormal basis of .
4.2 Constant curvature case - Proof of Theorem 2
As in the previous section, we reparameterize the basis of using indexing: for and , consider , which can be rewritten as
[TABLE]
First observe the following fact:
Lemma 12**.**
The family is orthogonal in , with norm for all and .
Proof.
Let and given. First notice that if , the inner product will vanish due to the integration of . Now assuming , this implies that and have the same parity. In this case, write for example for some , fix such that , and compute
[TABLE]
hence the result. ∎
For the topology , the adjoint of is given by with defined in (40). Let us then consider the functions
[TABLE]
where are short for , the fan-beam coordinates of the unique -geodesic passing through . With the identities (27), this can be rewritten as
[TABLE]
Using the symmetries
[TABLE]
we obtain the expression
[TABLE]
with defined in (44), and where are now evaluated at . We now need to make the functions and more explicit. Specifically, we will derive the following in the next section:
Lemma 13**.**
The following relations hold:
[TABLE]
In light of (53), we want to make in (52) the change of variable in the fiber
[TABLE]
We then state two important identities, also proved in the next section:
Lemma 14**.**
The change of variable in (55) satisfies the following:
[TABLE]
Combining (57) with (54), we arrive at the relation
[TABLE]
Using these relations with (52), we then arrive at
[TABLE]
We now split cases in a similar way as the Euclidean case.
Case or .
In light of (58), since is a polynomial of degree , then the function is a trigonometric polynomial of degree in . In particular, if or , then and thus the right hand side of (58) is identically zero, and we conclude that
[TABLE]
Case .
When , we then define and comparing (58) with (43), we find that
[TABLE]
in other words, for any and ,
[TABLE]
Orthogonality of .
Now that we fully understand the action of on , the last question is then to find out for which topology on the family is orthogonal. We look for a measure of the form , and want to change variable , with jacobian , to make appear
[TABLE]
In light of the jacobian, the change will land in the Euclidean volume form if . Assuming this is the case, we obtain, upon using (50),
[TABLE]
Now Theorem 15 below and the proof of Theorem 2 will be based on the following observation: let , be two Hilbert spaces and be a bounded operator; if there exist two complete orthogonal systems in and in such that for all , then the singular value decomposition of is . This also implies that the SVD of the adjoint is .
Based on this observation and the earlier calculations, we can formulate the following result:
Theorem 15**.**
Let . Define the weight for . Then the operator
[TABLE]
has kernel
[TABLE]
and its restriction to the orthocomplement of that kernel has SVD , where
[TABLE]
and where the spectral values equal
[TABLE]
The proof of Theorem 2 now becomes straightforward.
Proof of Theorem 2.
In light of Theorem 15, the SVD of the adjoint of just consists of interchanging the families , , and this is the operator we are interested in. We now compute
[TABLE]
In other words, the adjoint of the operator is the operator
[TABLE]
In particular, the relation implies for all . Now, given , expands into the basis ,
[TABLE]
Then we compute directly
[TABLE]
hence the result. ∎
4.3 Proof of Lemmas 13 and 14
Proof of Lemma 13.
We will compute and . The first quantity (or rather, its square) admits a rather simple expression. The way to arrive there is as follows: the unique -geodesic passing through has (non unit speed) equation
[TABLE]
for if and if . The endpoints in the unit disk are for , which yields the quadratic equation
[TABLE]
By definition of the scattering relation, the two roots are such that and , in particular, we obtain that
[TABLE]
This yields the relation
[TABLE]
which determines up to an additive term. With the Euclidean relation , we deduce the relation (53).
We now derive a formula for . Since the surrounding space has constant curvature , it is convenient to define the weighted sine function as follows:
[TABLE]
Such a function appears in the law of sines for a -geodesic triangle of geodesic sidelengths and opposite angles , namely we have
[TABLE]
see [9]. Denoting by the -geodesic distance between and , it follows directly from (3) that for
[TABLE]
and by rotation invariance, . In particular, trigonometric identities imply in all cases that
[TABLE]
Applying the sine rule (61) to the geodesic triangle with vertices , we obtain
[TABLE]
and we obtain
[TABLE]
and hence . Combined with (27), we arrive at (54). ∎
Proof of Lemma 14.
We first connect the expression with :
[TABLE]
Solving for we arrive at
[TABLE]
To obtain (56), differentiate the relation to obtain
[TABLE]
Then
[TABLE]
and (56) follows from using (62).
Now to relate and , from the relation
[TABLE]
whose real part gives
[TABLE]
Together with the relation \cos(2\theta)=\left[\begin{array}[]{cc}-2&1\\ 0&1\end{array}\right](\sin^{2}\theta), this implies the relation
[TABLE]
Together with the fact that and have simultaneously the same sign, (57) follows upon taking squareroots. ∎
Appendix A Spaces , operators , and a refinement of the Pestov-Uhlmann range characterization
In this section, we work on a general simple surface with inward boundary . The objects of study are the geodesic X-ray transforms and , defined for any as
[TABLE]
where is a smooth function, is a smooth vector field, is the unit speed geodesic with , and is its first exit time.
The Pestov-Uhlmann range characterization of and appearing in [26, Theorem 4.4] relates the ranges of and with those of and as defined on
[TABLE]
We would like to restrict to a ’half’-subspace incorporating a natural symmetry associated to whether one is integrating a function or a one-form. Namely, a function in the range of satisfies and a function in the range of satisfies . One must also encode whether extension from to through produces smooth functions.
To this effect, we then define
[TABLE]
Thus, coincides with as defined in [26].
Lemma 16**.**
The spaces are stable under the pull-back .
Proof.
The map is the composition of the scattering relation and the antipodal map , as such it can be regarded as a smooth diffeomorphism of , thus can be viewed as an operator on or on . Moreover, we have the relations . In particular, if , then is smooth on . Then so is , which exactly means that . ∎
Lemma 16 justifies that we can now write the direct sum decompositions:
[TABLE]
where we have defined
[TABLE]
Each decomposition is produced through the equality which, thanks to Lemma 16, produces summands in the correct spaces. Note that we can also characterize these spaces as
[TABLE]
Recall then the definitions of the boundary operators
[TABLE]
The spaces above provide natural smooth functional settings for these operators:
- •
the operators are naturally defined on and in the direct decomposition , (where ), we get:
[TABLE]
- •
the operators are naturally defined on and in the direct decomposition , (where ), we get:
[TABLE]
The observations about the action of allows us to refine the Pestov-Uhlmann range characterization [26, Theorem 4.4] as follows:
Proposition 17**.**
Let be a simple Riemannian surface with boundary. Then
(i) A function belongs to the range of if and only if for some .
(ii) A function belongs to the range of if and only if for some .
Proof.
We prove (i) as (ii) is similar. The usual characterization produces such that . Writing , we have that where . Thus fulfills (i). ∎
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