Measure-preserving mappings from the unit cube to some symmetric spaces
Carlos Beltr\'an, Damir Ferizovi\'c, Pedro R. L\'opez-G\'omez

TL;DR
This paper constructs measure-preserving mappings from the unit cube to various symmetric spaces, including spheres and projective spaces, and provides a method for generating such mappings to product spaces and fiber bundles.
Contribution
It introduces explicit constructions of measure-preserving maps from the unit cube to symmetric spaces and extends to product spaces and fiber bundles.
Findings
Constructed measure-preserving maps to spheres and projective spaces.
Provided a procedure for mappings to product spaces and fiber bundles.
Applicable to a range of symmetric spaces and complex structures.
Abstract
We construct measure-preserving mappings from the -dimensional unit cube to the -dimensional unit ball and the compact rank one symmetric spaces, namely the -dimensional sphere, the real, complex, and quaternionic projective spaces, and the Cayley plane. We also give a procedure to generate measure-preserving mappings from the -dimensional unit cube to product spaces and fiber bundles under certain conditions.
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Taxonomy
TopicsAlgebraic and Geometric Analysis · Mathematics and Applications · Geometric and Algebraic Topology
\ChangeEmph
([-.01em,.04em])[.04em,-.05em]
Measure-preserving mappings from the unit cube
to some symmetric spaces
Carlos Beltrán
Carlos Beltrán: Departamento de Matemáticas, Estadística y Computación, Universidad de Cantabria, Avda. Los Castros, s/n, 39005 Santander, Spain
,
Damir Ferizović
Damir Ferizović: Department of Mathematics, KU Leuven, Celestijnenlaan 200b, Box 2400, 3001 Leuven, Belgium
and
Pedro R. López-Gómez
Pedro R. López-Gómez: Departamento de Matemáticas, Estadística y Computación, Universidad de Cantabria, Avda. Los Castros, s/n, 39005 Santander, Spain
Abstract.
We construct measure-preserving mappings from the -dimensional unit cube to the -dimensional unit ball and the compact rank one symmetric spaces, namely the -dimensional sphere, the real, complex, and quaternionic projective spaces, and the Cayley plane. We also give a procedure to generate measure-preserving mappings from the -dimensional unit cube to product spaces and fiber bundles under certain conditions.
Key words and phrases:
Measure-preserving mapping, symmetric spaces, spheres, projective spaces
2020 Mathematics Subject Classification:
58C35, 52C35
The first and third authors have been supported by grant PID2020-113887GB-I00 funded by MCIN/AEI/ 10.13039/501100011033. The second author thankfully acknowledges support by the Methusalem grant of the Flemish Government. The third author has also been supported by grant PRE2021-097772 funded by MCIN/AEI/ 10.13039/501100011033 and by “ESF Investing in your future”.
Contents
- 1 Introduction and main results
- 2 A technical result
- 3 Measure-preserving mappings from the unit cube to the compact rank one symmetric spaces
- 4 Measure-preserving mappings from the unit cube to fiber bundles
- A The smooth coarea formula
- B Auxiliary computations
1. Introduction and main results
Given two measure spaces and , a bijective mapping is said to be measure preserving if both and are measurable mappings and moreover for every ; or, equivalently, if for every . In this work, we look for measure-preserving smooth diffeomorphisms between Riemannian manifolds.
The problem of finding measure-preserving mappings from one manifold to another has applications in cartography, computer graphics, medical imaging, signal processing, or, more generally, in any area that requires good discretizations of a certain space. Thus, when looking for uniform collections of points or uniform grids (that is, grids all of whose cells have the same volume) on a manifold , a frequent approach consists in generating collections or grids with that property on a simpler, easily discretizable space such as the unit cube, and then transporting them to through a measure-preserving mapping. In this sense, most of the research has been carried out for two-dimensional and three-dimensional manifolds (see [ShirleyChiu1997, HolhosRosca2014, HolhosRosca2016, HolhosRosca2019, Holhos2017, RoscaPlonka2011, RoscaMorawiecDeGraef2014] and references therein). In [RoscaMorawiecDeGraef2014], the authors also obtain a mapping from the -dimensional sphere of radius in to the -dimensional ball of radius in which generalizes the equal-area Lambert mapping.
Measure-preserving mappings are also relevant in the theory of partial differential equations on Lipschitz domains (see [GriepentrogHoepnerKaiserRehberg2008]), in the generation of low-discrepancy points (see, for example, [BrauchartDick2012, DeMarchiElefante2018, Alexa2022, FerizovicHofstadlerMastrianni2022, Ferizovic2022]), and, more recently, they have been used to generate projective constellations for noncoherent communications over single-input-multiple-output (simo) channels; see [NgoDecurningeGuillaudYang2020], where the authors construct a measure-preserving mapping from the unit square to the complex projective line , or [CuevasAlvarezVizosoBeltranSantamariaTucekPeters2022] for the higher dimensional case. However, to the best of our knowledge, there are no constructive procedures to generate measure-preserving mappings from the -dimensional unit cube to the -sphere and to the remaining projective spaces.
1.1. Notation
In this paper, denotes the Lebesgue measure in , and denotes the open ball of radius in (if , this means just ). When , we denote it by . We will call the (open) unit cube.
We denote the measure associated to the normal distribution in by , that is,
[TABLE]
It is well known that the mapping
[TABLE]
is measure preserving from to , where is the inverse of the error function given by
[TABLE]
Given any continuous function , we consider the associated measure in given by the weight function and denote it by , that is,
[TABLE]
We will always assume that is a probability measure, i.e.,
[TABLE]
Finally, if we have a Riemannian manifold (including the case that is the unit cube with the standard structure, the usual -sphere, or any open set of a compact Riemannian manifold), we denote by the uniform measure in according to its volume form. For example, is the unit ball endowed with the Lebesgue measure normalized to have volume , which can be denoted in our previous notation by .
1.2. The compact rank one symmetric spaces
The compact rank one symmetric spaces (crosses) are the -sphere and the real, complex, quaternionic, and octonionic projective spaces , , and . These spaces, which were classified by É. Cartan, are examples of locally harmonic Blaschke manifolds; in fact, Lichnerowicz’s conjecture claims that the crosses are the only Riemannian manifolds of this kind. They are also the only compact connected two-point homogeneous Riemannian manifolds. See [Besse1978] for more information about these spaces.
Let be a cross and let , , and be, respectively, its real dimension, its diameter (that is, the maximum Riemannian distance between two points in ), and its volume. The exponential map based on the north pole
[TABLE]
is a diffeomorphism onto , where is a measure zero set (just a point in the case and a hyperplane for the projective spaces). Moreover, the Jacobian of is known as the volume density and has the form for a certain function . As a consequence, we have the following lemma:
Lemma 1.1**.**
Let be a cross. Then, the exponential map is a measure-preserving mapping from to .
Proof.
Since is a smooth diffeomorphism, both and its inverse are measurable mappings. Now, let be a measurable set. Applying the change of variables theorem to we readily get the result. ∎
Table 1 summarizes the dimension, the diameter, the volume, the exponential map, and the volume density of these classical spaces.
1.3. Main results
Let denote the incomplete gamma function:
[TABLE]
Our first main result is the following proposition, which yields a measure-preserving mapping from the unit cube to the unit ball:
Proposition 1.2**.**
Let be the mapping given by
[TABLE]
Then, the mapping is measure preserving.
The next main result provides a procedure to generate measure-preserving mappings from the unit cube to each cross.
Theorem 1.3**.**
Let be a cross and let be the mapping given by , where is the unique solution to
[TABLE]
Then, the mapping is measure preserving.
The following conmutative diagram illustrates the construction described in Theorem 1.3:
[TABLE]
It follows straightforwardly from the definition of measure-preserving mapping that, given two Riemannian manifolds and , and two measure-preserving mappings and , the mapping
[TABLE]
where and , is also measure preserving. As a consequence, since by Theorem 1.3 we have measure-preserving mappings from the unit cube to any cross, we also have a constructive procedure to generate measure-preserving mappings from the unit cube to any finite product of crosses. In this work we generalize this property to the case of fiber bundles:
Theorem 1.4**.**
Let , , and be Riemannian manifolds, where we assume that the measures in , , and are normalized to have unit volume, and let be a smooth fiber bundle such that is constant for every . Let and be measure-preserving mappings. Let be a measure-preserving mapping for every such that the mapping given by is measurable. Then, is measure preserving and hence the mapping
[TABLE]
where and , is measure preserving.
1.4. Structure of the paper
In Section 2, we prove our main technical result, which yields a procedure to generate measure-preserving mappings from to , and we prove Proposition 1.2. In Section 3, we prove Theorem 1.3 and we construct measure-preserving mappings from the unit cube to each cross. In Section 4, we prove Theorem 1.4 and we show an alternative procedure to construct measure-preserving mappings from the unit cube to odd-dimensional spheres using the Hopf fibration. Appendix A is devoted to the smooth coarea formula, a technical tool. Finally, in Appendix B we present some auxiliary computations.
2. A technical result
Recall that is any continuous function satisfying (2).
Theorem 2.1**.**
Let , and let be the unique solution to
[TABLE]
Then, the mapping given by is measure preserving.
Proof.
First, note that implies that is an increasing function with . Moreover, Equation 2 implies that , which means that is a well-defined bijection with . The inverse of is easily computed: .
Computing the derivative with respect to at both sides of (3), we get
[TABLE]
Now, let and compute the Jacobian of by choosing an orthonormal basis at , with . A straightforward computation shows that preserves the orthogonality of that basis and yields
[TABLE]
Then, given any measurable set , we can check that the measure of in equals that of in using the change of variables theorem: if we denote by the characteristic function of , then
[TABLE]
which proves the theorem. ∎
Example 2.2** (A measure-preserving mapping from to ).**
In this case, we have and
[TABLE]
Following Theorem 2.1, let
[TABLE]
We have to obtain from
[TABLE]
which is obviously solved by . Thus, we conclude that
[TABLE]
defines a measure-preserving mapping from to .
Example 2.3** (A measure-preserving mapping from to ).**
Let be the measure that makes the stereographic projection a measure-preserving mapping, that is,
[TABLE]
In this case, we have , , and
[TABLE]
We compute
[TABLE]
If ,
[TABLE]
Therefore, we have to obtain from
[TABLE]
that is,
[TABLE]
Hence, we conclude that
[TABLE]
defines a measure-preserving mapping from to .
Example 2.4** (A measure-preserving mapping from to ).**
In this case, we have , , and
[TABLE]
We easily compute
[TABLE]
and we have to obtain from
[TABLE]
concluding that, following the notation of Proposition 1.2,
[TABLE]
defines a measure-preserving mapping from to .
Proof of Proposition 1.2.
Immediate from Example 2.4 and the fact that is measure preserving. ∎
3. Measure-preserving mappings from the unit cube to the compact rank one symmetric spaces
After Theorem 2.1, the proof of Theorem 1.3 is now straightforward:
Proof of Theorem 1.3.
Immediate from Theorem 2.1, Lemma 1.1, and the fact that is measure preserving. ∎
We can now generate measure-preserving mappings from the unit cube to all the crosses following Theorem 2.1: it suffices to consider , where, according to Theorem 2.1, the mapping can be computed, to some extent, explicitly. We do the computations for the different choices of in the next few subsections. Recall that, for each cross , we denote its real dimension by , its diameter by , and its volume by (see Table 1).
3.1. The unit sphere
In this case, we have , , and
[TABLE]
Corollary 3.1**.**
The mapping given by is measure preserving if satisfies
[TABLE]
As a consequence, the mapping is measure preserving. For we have
[TABLE]
and so
[TABLE]
For we can compute explicitly:
[TABLE]
and hence
[TABLE]
Proof.
From Theorem 2.1 we just need to check that
[TABLE]
which is equivalent to the formula in the corollary. The case reads
[TABLE]
which is equivalent to the last claim in the corollary. ∎
Note that the integral in the left-hand side of the expression in Corollary 3.1 is an incomplete beta function:
[TABLE]
Hence, it is not possible to obtain a closed expression for when . In Section 4 we consider a different approach that provides measure-preserving mappings with closed expressions for odd-dimensional spheres.
Figures 1 and 2 illustrate the measure-preserving mapping obtained in Corollary 3.1 for the particular case of the two-dimensional sphere .
3.2. The real projective space
In this case, we have , , and
[TABLE]
Corollary 3.2**.**
The mapping given by is measure preserving if satisfies
[TABLE]
As a consequence, the mapping is measure preserving. For we have
[TABLE]
and so
[TABLE]
For we can compute explicitly:
[TABLE]
and hence
[TABLE]
Proof.
From Theorem 2.1 we just need to check that
[TABLE]
which is equivalent to the formula in the corollary. The case reads
[TABLE]
which is equivalent to the last claim in the corollary. ∎
3.3. The complex projective space
In this case, we have , , and
[TABLE]
Corollary 3.3**.**
The mapping given by is measure preserving if satisfies
[TABLE]
As a consequence, the mapping is measure preserving.
Proof.
From Theorem 2.1 we just need to check that
[TABLE]
which is equivalent to
[TABLE]
and the corollary follows. ∎
3.4. The quaternionic projective space
In this case, we have , , and
[TABLE]
Corollary 3.4**.**
The mapping given by is measure preserving if satisfies
[TABLE]
As a consequence, the mapping is measure preserving.
Proof.
From Theorem 2.1 we just need to check that
[TABLE]
which is equivalent to the formula in the corollary. ∎
3.5. The Cayley plane
In this case, we have , , and
[TABLE]
Corollary 3.5**.**
The mapping given by is measure preserving if satisfies
[TABLE]
As a consequence, the mapping is measure preserving.
Proof.
From Theorem 2.1 we just need to check that
[TABLE]
which is equivalent to the formula in the corollary. ∎
In Table 2 we show the cases for which we have a closed expression for the measure-preserving mapping . In addition, in the next section we present an approach that will allow us to obtain measure-preserving mappings with explicit expressions for any odd-dimensional sphere.
4. Measure-preserving mappings from the unit cube to fiber bundles
In this section we show how to construct measure-preserving mappings from the unit cube to the total space of the smooth fiber bundle , where the total space , the base space , and the fiber are Riemannian manifolds, assuming that we have measure-preserving mappings from the corresponding unit cubes to and .
To prove Theorem 1.4 we need the following lemma. The main technical tool used in its proof is the smooth coarea formula, an integral formula due to Federer [Federer1969] and Howard [Howard1993] that generalizes the change of variables formula and Fubini’s theorem (see Appendix A). We refer the interested reader to [Beltran2011, Section 2].
Lemma 4.1**.**
Let , , and be finite-volume Riemannian manifolds, and let be a smooth fiber bundle such that is constant for every . Let be a measure-preserving mapping for every and consider the mapping
[TABLE]
If is measurable, then it is measure preserving. Moreover, if the measures in , , and are normalized to have unit volume, then for every .
Proof.
Without loss of generality, assume that the measures in , , and are normalized. We first check that for every . Since is a smooth fiber bundle, we know that is a submersion and hence we can apply the smooth coarea formula. Therefore,
[TABLE]
and so . Now we prove that is measure preserving. Let be a measurable set. We have to prove that
[TABLE]
Using again the smooth coarea formula together with the fact that for all , we have
[TABLE]
Note that
[TABLE]
Therefore, since
[TABLE]
the lemma follows. ∎
Proof of Theorem 1.4.
From Lemma 4.1 we have that the mapping given by is measure preserving. Since , and both mappings are measure preserving, the theorem follows. ∎
Example 4.2** (The Hopf fibration).**
Consider and . Recall that the (complex) Hopf fibration is given by
[TABLE]
The fiber of each is a unit circle in given by
[TABLE]
For each , we choose a unit norm representative smoothly out of a lower-dimensional set, and, thinking of the elements of as unimodular complex numbers, we consider the mapping
[TABLE]
which is an isometry and hence it is measure preserving. Therefore, by Theorem 1.4, the mapping
[TABLE]
where and (and recall that we are assuming that the representative of has unit norm) is measure preserving. Note that we have explicit expressions for both and , and hence for :
[TABLE]
For the particular case of we have
[TABLE]
since . Note that we are considering through the canonical isomorphism given by .
Appendix A The smooth coarea formula
Let be Riemannian manifolds. Given a smooth mapping , let denote the differential mapping, where is the tangent space to at and is the tangent space to at .
Definition A.1** (Normal Jacobian).**
Let and be Riemannian manifolds and let be a surjective map. Let be the real dimension of . For every point such that the differential mapping is surjective, let be an orthogonal basis of . Then we define the normal Jacobian of at , written as , as the volume in the tangent space of the parallelepiped spanned by . In the case that is not surjective, we define .
Theorem A.2** (Smooth coarea formula).**
Let and be two Riemannian manifolds of dimension and , respectively, where . Let be a smooth surjective map such that the differential mapping is surjective for almost all . Let be an integrable mapping. Then, the following equalities hold:
[TABLE]
Note that if and is a diffeomorphism we recover the classical change of variables theorem.
Appendix B Auxiliary computations
In this appendix, we show the explicit computations leading to the formulas in Table 2.
B.1. Explicit expression of
Recall from Proposition 1.2 that we have
[TABLE]
Hence,
[TABLE]
B.2. Explicit expression of
Although we could simply define , let us find the expression of this mapping using the general procedure. In this case, we have
[TABLE]
Following Corollary 3.1, to find we have to obtain from
[TABLE]
Since in this case , we have
[TABLE]
Hence,
[TABLE]
Therefore,
[TABLE]
Since both and are odd functions, the absolute values cancel each other and so
[TABLE]
Recall from Table 1 that the exponential map is given by
[TABLE]
Hence,
[TABLE]
B.3. Explicit expression of
Recall from Corollary 3.1 that we have
[TABLE]
Let us compute first . Recall from Table 1 that
[TABLE]
Hence,
[TABLE]
Due to the parity of the sine and the cosine, we can rewrite the previous expression as
[TABLE]
To further simplfy these expressions, note that, for ,
[TABLE]
and
[TABLE]
Therefore,
[TABLE]
Hence, we conclude that
[TABLE]
B.4. Explicit expression of
In this case, we have
[TABLE]
Following Corollary 3.2, to find we have to obtain from
[TABLE]
Since in this case , we have
[TABLE]
Hence,
[TABLE]
Therefore,
[TABLE]
Since both and are odd functions, the absolute values cancel each other and so
[TABLE]
Recall from Table 1 that the exponential map is given by
[TABLE]
Hence,
[TABLE]
Since the tangent function is odd, we can simplify the previous expression as follows:
[TABLE]
B.5. Explicit expression of
Recall from Corollary 3.2 that we have
[TABLE]
Let us compute . Recall from Table 1 that
[TABLE]
Hence,
[TABLE]
Since the tangent function is odd, we can simplify the previous expression as follows:
[TABLE]
Note that
[TABLE]
Hence,
[TABLE]
and we conclude that
[TABLE]
B.6. Explicit expression of
Recall from Corollary 3.3 that we have
[TABLE]
Recall from Table 1 that
[TABLE]
Let us compute . As for the case of , the parity of the tangent function implies that
[TABLE]
Note that, in our range,
[TABLE]
Hence,
[TABLE]
and we conclude that
[TABLE]
References
