Third order open mapping theorems and applications to the end-point map
Francesco Boarotto, Roberto Monti, Francesco Palmurella

TL;DR
This paper advances the understanding of the end-point map in sub-Riemannian geometry by establishing third order open mapping theorems, computing higher order Taylor expansions, and analyzing length-minimality of singular curves.
Contribution
It introduces third order open mapping results, computes third order terms in the end-point map's Taylor expansion, and applies these to study length-minimality of singular curves.
Findings
Third order open mapping theorems for maps from Banach spaces to manifolds.
Explicit computation of the third order term in the end-point map's Taylor expansion.
Analysis showing certain singular extremals are not length-minimizing.
Abstract
This paper is devoted to a third order study of the end-point map in sub-Riemannian geometry. We first prove third order open mapping results for maps from a Banach space into a finite dimensional manifold. In a second step, we compute the third order term in the Taylor expansion of the end-point map and we specialize the abstract theory to the study of length-minimality of sub-Riemannian strictly singular curves. We conclude with the third order analysis of a specific strictly singular extremal that is not length-minimizing.
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Third order open mapping theorems and applications to the end-point map
Francesco Boarotto
Dipartimento di Matematica Tullio Levi-Civita, Università di Padova, Italy
,
Roberto Monti
Dipartimento di Matematica Tullio Levi-Civita, Università di Padova, Italy
and
Francesco Palmurella
ETH Zürich Department Mathematik, Rämistrasse 101, CH-8093 Zürich, Switzerland
Abstract.
This paper is devoted to a third order study of the end-point map in sub-Riemannian geometry. We first prove third order open mapping results for maps from a Banach space into a finite dimensional manifold. In a second step, we compute the third order term in the Taylor expansion of the end-point map and we specialize the abstract theory to the study of length-minimality of sub-Riemannian strictly singular curves. We conclude with the third order analysis of a specific strictly singular extremal that is not length-minimizing.
Key words and phrases:
Open mapping theorems, end-point map, sub-Riemannian geometry
2010 Mathematics Subject Classification:
46A30, 53C17, 49K15
The first author has been supported by University of Padova STARS Project “Sub-Riemannian Geometry and Geometric Measure Theory Issues: Old and New”
1. Introduction
The most challenging open problems in sub-Riemmanian geometry, such as Sard’s problem and the regularity of length-minimizing curves, are related to our limited understanding of the end-point map, see [26, 1]. In this work, we extend the analysis of the end-point map from the second to the third order. In a preliminary part of independent interest, we study open mapping theorems of the third order for maps from a Banach space into a manifold.
Let be a smooth manifold and be a totally non-holonomic (i.e., completely non-integrable) distribution with rank . For every point , there exist a neighborhood of and linearly independent smooth vector fields such that on . The distribution is non-holonomic (i.e., it satisfies the Hörmander condition) if
[TABLE]
where denotes the evaluation at of the Lie algebra generated by . Given , we say that has step at if, to recover the equality in (1.1), we need Lie brackets of length and is the least integer with this property. We say that has step on if has step less than or equal to at every .
We fix on the metric that makes orthonormal. A curve is admissible if a.e. on . In this case, we have
[TABLE]
for some unique vector of functions , called the control of . The length of is . Since our considerations are local around a reference curve , in the sequel we will assume .
Fix a point and let . The end-point map is the map defined by where is the unique solution of (1.2) such that . The curve is said to be singular (or abnormal) if the corresponding control is a critical point of the differential , i.e., if the differential is not surjective. The corank of is the dimension of . Singular curves do not depend on the metric fixed on but nontheless they may be length-minimizers. They do not have a counterpart in Riemannian geometry and do not obey the classical Hamiltonian formalism.
The Sard’s problem investigates the size (dimension, measure, structure) of the set of points of that are reachable from by singular curves. Even though Sard’s theorem does not hold in infinite-dimensional spaces [19], it is expected that for the end-point map this set is not too big, see [22, 10, 32].
Another important problem is the regularity of length-minimizing curves. Montgomery first showed in [25] the existence of smooth strictly singular curves that are in fact length-minimizing. For the notion of strict singularity we defer to Definition 4.1. For these curves, however, the first order necessary conditions provided by the Pontryagin Maximum Principle [31] do not typically give any further regularity beyond the starting one (Lipschitz or AC). Some results on the regularity of singular sub-Riemannian geodesics are in [23, 28, 18, 30, 9], see also the surveys [29, 27]. The difficulty of the problem, again, lies in the complicated structure of the end-point map at critical points.
Similar problems are addressed e.g. in [14, 15], where the authors study generic properties of singular trajectories, and in [13, 8, 12], where some regularity results are established for the more general class of control systems affine in the control. A different approach towards singular length-minimizing curves can be found in [2, 11, 4], where the authors follow the topological viewpoint rather than the differential one, and study singular curves via homotopy theory and results à la Morse. In the case of Carnot groups, singular curves are contained in the zero set of specific polynomials, see [20, 21].
The second order analysis of the end-point map was developed by Agrachev and Sarychev in [6]. This theory provides necessary conditions for strictly singular length-minimizers. These conditions are deduced from second order open mapping theorems that exploit the notion of regular zero together with Morse’s index theory [5, Chapter 20]. This is the starting point of our work.
In a first step, in Section 2, we prove abstract third order open mapping theorems for functions , where is a Banach space and a smooth manifold. In Definition 2.4, we introduce an intrinsic notion of third differential , where is a precise subspace of the kernel of the differential of at . Then, we adapt the notion of regular zero to the third differential. For a given isotropic vector of the second differential , in Definition 2.7 we introduce the notion of -regular zero.
Theorem 1.1**.**
Let be a Banach space and an open neighborhood of the origin. Let be a smooth mapping having a critical point at [math] of corank . Then:
- (i)
If and there exists such that , then is open at the origin.
- (ii)
For any , if there exist and such that is a -regular zero for , then is open at the origin.
The first statement is proved in Section 2.2, while the latter is shown in Section 2.3. Notice that the two statements are different in nature: indeed the first one does not use the notion of regular zero. Also, point (ii) can be seen as a more geometric version of the third order open mapping theorem proved by Sussmann in [35]. Its rephrasement in algebraic terms can be found in Theorem 2.8. However, this algebraic version is less satisfactory than its second order counterpart, where the notion of index of a quadratic form produces conditions that can be applied effectively to the end-point map. In our case, finding sufficient conditions of the algebraic type ensuring the existence of a regular zero for a vector valued cubic map (polynomials of degree ) seems a difficult task.
In Section 3, we use tools of chronological calculus to compute the third order term in the Taylor expansion of the end-point map, see Proposition 3.5. In fact, our procedure is algorithmic and can be used, in principle, to compute also higher order terms. We shall see that, differently from the second order, the representation of the third differential in terms of Lie brackets is not unique. However, the scalarizations onto the cokernel of the first differential are uniquely defined.
Theorem 1.1 and the formula for the third differential of the end-point map yield the following necessary condition satisfied by any adjoint curve of a singular length-minimizing trajectory of corank . The construction of adjoint curves is recalled in Section 4. We denote by the differential of the end-point map starting from , and computed at the point , the control of .
Theorem 1.2**.**
Let be a sub-Riemaniann manifold with for . Assume that:
- (i)
* is a strictly singular length-minimizing curve of corank ;*
- (ii)
the domain is of finite codimension in .
Then any adjoint curve satisfies, for every and for every ,
[TABLE]
This result is proved in Section 4. Notice the nontrivial assumption (ii) on the dimension of the domain of the third differential. Condition (1.3) is the extension to the third order of the first and second order necessary conditions for length-minimality. In fact, if is a corank-one singular length-minimizing curve with adjoint curve , then by the Pontryagin Maximum Principle we have identically along the curve, for every . If in addition is strictly singular, then identically along , for every . This is known as Goh condition, see [17].
In Section 5 we show an application of the general theory to a specific example of singular curves. We recall the notion of extremal curves: a horizontal curve is extremal if it has an adjoint curve that satisfies the Pontryagin Maximum Principle. A length-minimizing curve is an extremal, but the viceversa needs not hold. The notion of (strict) singularity applies to extremal curves as well, see Definition 4.1.
Theorem 1.3**.**
Consider on the distribution , where
[TABLE]
and . Fix on the metric that makes and orthonormal. Then:
- (i)
For any the curve is a strictly singular extremal in .
- (ii)
If is an even integer then is locally length-minimizing in .
- (iii)
If then is not locally length-minimizing in .
Using Theorem 1.1, or alternatively Theorem 1.2, we show that when the end-point map is open at the control of . For , the curve is probably not length-minimizing. To prove this we would need open mapping theorems of order higher than .
2. Third order open mapping theorems
2.1. Intrinsic third differential
Let be a Banach space and let be an open neighborhood of the origin. We consider a smooth mapping , where is a smooth manifold of dimension . Here and hereafter, by “smooth” we always mean “-smooth”.
By fixing a local chart for centered at , we may consider the representative of in this chart as a map from to , and accordingly consider its -th directional derivatives
[TABLE]
We denote by the associated -multilinear maps. Then we may expand as a Taylor series at [math]:
[TABLE]
For , the maps do not behave tensorially and depend on the specific choice of the local chart of .
In [5, Chapter 20], the authors study a chart-independent (or “intrinsic”) notion of Hessian, by quotienting out the action of the differential. Recall that 0 is a critical point of if the differential is not surjective. The cokernel of is the quotient space
[TABLE]
and the corank of this critical point is its dimension: . The central definition for the theory is the following.
Definition 2.1**.**
The intrinsic Hessian of at is the quadratic map defined by
[TABLE]
where is computed with respect to any chart centered at and is the projection onto .
This definition is independent of the chosen chart and for any linear form
[TABLE]
and any vector there holds
[TABLE]
where is any function such that , is any smooth vector field such that , and denotes the Lie derivative along .
We denote by the bilinear form associated with the quadratic map .
Definition 2.2**.**
A regular zero for the intrinsic Hessian is an element such that:
- (i)
;
- (ii)
the linear map is surjective from onto .
With these notions, the following theorem holds, see [5, Theorem 20.3].
Theorem 2.3** (Agrachev-Sarychev).**
If the intrinsic Hessian has a regular zero then is open at the origin.
Necessary conditions for the existence of a regular zero can be found in [7, 6]. Sufficient conditions are given by the Morse-index theory, see [5]. The existence of a regular zero is only a necessary condition for the openness of a quadratic form. For example, the map defined by does not have nontrivial zeros and, in particular, it has no regular zeros, but nevertheless it is open.
Our objective is to carry this program over to third-order derivatives and to deduce third-order sufficient conditions for the map to be open at the origin. We first need to define an “intrinsic” third differential. Let be any diffeomorphism leaving the point fixed and let be a smooth curve such that . Let us fix a local chart for centered at . Here and hereafter, we assume that . Then, locally in this chart, we have
[TABLE]
The third derivative in the left hand-side of (2.2) transforms on as a tangent vector (i.e., according to the first differential only) as soon as . Moreover, a good definition of the third differential should only depend tensorially on tangent vectors. This means that the third derivative
[TABLE]
should only depend on . This happens when modulo the image of . These considerations motivate the following definition.
Definition 2.4** (Intrinsic third differential).**
Let be a smooth map. The domain of the third differential of at is:
[TABLE]
where is computed with respect to any chart centered at . The third differential of at is the cubic map defined by
[TABLE]
where is computed with respect to any chart centered at and is the projection onto .
Remark 2.5**.**
Similarly to the Hessian, these definitions do not depend on the chosen chart. In particular we stress that, while depends on the chart, the condition for all is independent of this choice.
To see this, we proceed similarly as in (2.2), and we consider smooth curves such that , and . Also, we consider to be any diffeomorphism fixing and we fix a local chart around [math]. Then, by polarization, it is not difficult to see that
[TABLE]
and our assertion follows.
As for , see (2.1), for every non-zero linear form and every vector , there holds
[TABLE]
where is any function such that , is any smooth vector field such that , and denotes the Lie derivative along . Indeed, since by assumption we have , the identity
[TABLE]
holds. In particular, \mathcal{L}_{V}\circ\mathcal{L}_{V}\circ\mathcal{L}_{V}(a\circ F)\big{|}_{0} does not depend upon higher order differentials of at zero.
2.2. Open mapping at corank-one critical points
Assume that is a critical point of with corank one, i.e., is 1-dimensional and for some non-zero linear form we have . To prove point (i) in Theorem 1.1, we adapt an idea used in [5, Lemma 20.1], which consists in finding a suitable perturbation with , so that is open at 0, thus implying that is itself open at 0.
Proof of Theorem 1.1 - (i).
Since [math] is a corank-one critical point, there exists an -dimensional subspace , with , such that Since is isomorphic to via , we identify it with . Namely, we choose a local chart for centered at and we endow with a scalar product so that we may identify with and with We then fix a basis of .
Let be such that , and let to be fixed later. For , we define the map ,
[TABLE]
where is identified with . Notice that for every . If the composition is open at the origin for some , then is a fortiori open at the origin.
We compute the Taylor expansion at zero of with respect to the parameter . The only non-trivially zero terms in this expansion are:
[TABLE]
The term in the first line is zero since . The term in line (2.11) is also zero as soon as we choose such that . This does exist because implies that . Finally, in line (2.12) we can choose such that
[TABLE]
This does exist because, again, implies that .
Eventually, we see that \Phi_{\varepsilon}^{(9)}(x,y)\big{|}_{\varepsilon=0}=280y^{9}d_{0}^{3}F(v)+d_{0}F(x), and this implies that admits the expansion
[TABLE]
where the remainder term is as tends to zero. Let us define the function
[TABLE]
Since is the composition of with a homeomorphism, is open at the origin if so is . After a linear change of coordinates the openness at the origin of reduces to the openness of
Given , we denote by the ball of radius centered at the origin. We show that there exists such that for all . This follows from the following claim:
[TABLE]
In fact, (2.2) implies that there exists such that for all and for all we have
[TABLE]
Then, given and letting , the triangle inequality implies that maps into itself. It follows by the Brouwer’s fixed point theorem that has a fixed point in for every , and the openness of follows.
We are left to show claim (2.2). The role of and in (2.9) is symmetric, and so the partial derivatives \frac{\partial^{k}}{\partial y^{k}}\Phi_{\varepsilon}(x,y)\big{|}_{(x,y)=0} are computed by the chain rule as in (2.10), switching and . As a consequence, we have
[TABLE]
Similarly, we see that
[TABLE]
and thus we arrive at the expansion
[TABLE]
where the big-O term takes care of all the mixed derivatives in and , up to the tenth order and it satisfies . The theorem follows. ∎
2.3. Open mapping at critical points of arbitrary corank
We turn to the case of critical points of corank higher than one, and to the proof of point (ii) in Theorem 1.1. We begin with adapting to the third order setting the notion of regular zero.
Definition 2.6**.**
Let be a smooth map. The isotropy space of is
[TABLE]
Given an isotropic vector , we define the second-order image of at as the subspace of
[TABLE]
Finally, we define the second-order cokernel of at as the quotient
[TABLE]
Note that we have if and only if .
Definition 2.7**.**
Let . A -regular zero for is an element such that:
- (i)
;
- (ii)
The linear map is surjective.
Above, is the projection onto ,
Proof of Theorem 1.1 - (ii).
We fix on a scalar product so that we can regard all the spaces , \mathrm{Im}\big{(}\mathcal{D}_{0}^{2}F(w_{0},\cdot)) and as subspaces of with direct sums:
[TABLE]
Let , and be linear subspaces such that the following mappings are linear isomorphisms:
[TABLE]
We identify , , and with and with coordinates , and . We also identify with , and similarly for and . We denote by a basis for , and by a basis for .
Let and be points in to be fixed later. For we define the map by:
[TABLE]
Then we consider the composition . To prove that is open at the origin it is sufficient to show that, for small , is open at the origin.
We compute the derivatives of and we evaluate them at . We use the short-hand notation and . The first non-trivially zero derivative at is the sixth one:
[TABLE]
that for gives because . For we have
[TABLE]
where and are positive integers. For we have The only non-trivially zero cases are , for which we have . Indeed, for we have because ; for we have because ; for we have because .
For we have the following expansions:
[TABLE]
The equations lead to the following list of conditions:
[TABLE]
Both (2.20) and (2.21) origin from .
Equation (2.18) has a solution because the vector satisfies . Equation (2.19) has a solution because, again, the points are in the image of the differential. For the same reason, there exist solutions of (2.20), (2.21), (2.22), and (2.23).
We study (2.24). Since we have for all . Then also belongs to the image of the differential and so there exists a solution to (2.24).
Now we consider the cases . In these cases, the third differential becomes relevant and we have the following expansions:
[TABLE]
The equation leads to the following conditions:
[TABLE]
We can fix solving (2.25), (2.26). Here we use the fact that .
Finally, we require that solves the equation
[TABLE]
In this way we have , so that the map has the following expansion
[TABLE]
with and . It follows that the map
[TABLE]
is of class , with and such that the Jacobian is surjective onto .
By the implicit function theorem, there exists and -functions such that, for every
- (i)
, and
- (ii)
is surjective onto .
This proves that is open at the origin for small , and eventually that is open at the origin. ∎
Theorem 1.1 - (ii) reduces the open mapping property for at [math] to the existence of such that the third differential
[TABLE]
admits a -regular zero, and since the manifold is finite-dimensional, it is enough to consider the case when the source space is finite-dimensional.
Let us recall some facts about cubic maps. Given a cubic map , for integers and , we denote by the trilinear map associated with . Then there hold the following facts:
- (i)
For , the differential is the linear mapping given by , for .
- (ii)
For , the second differential is the vector-valued symmetric bilinear form given by , for .
- (iii)
The third differential is the vector-valued symmetric trilinear form given by , for .
- (iv)
The third differential defines the linear map into the space of -tuples of symmetric matrices given by
[TABLE]
We clearly have the identity as vector-valued symmetric bilinear maps, for every .
Theorem 2.8**.**
Let be a cubic map and assume that:
- (i)
;
- (ii)
if denotes the canonical basis of , for every non-zero the quadratic forms , for ,
[TABLE]
do not have common isotropic vectors ,
then has a regular zero.
Proof.
Since and is a cubic map, has a non-trivial zero by the Bézout theorem (see, e.g., [33, Theorem 1, Chapter IV §2]). We claim that this zero is regular.
Suppose by contradiction that is not regular, i.e., there exists a non-zero such that
[TABLE]
Denoting by the scalar product on , we recall the identity (compare with (2.29))
[TABLE]
Cycling the variables in (2.31), we deduce that for every , i.e., is a common isotropic vector for the quadratic forms as varies in , which contradicts (ii). ∎
Remark 2.9**.**
In the case of scalar cubic maps, that is , Theorem 2.8 can be made more precise. Indeed, if , one can prove that the following are equivalent:
- (i)
has a regular zero.
- (ii)
is not a perfect cube.
- (iii)
The linear map is of rank strictly greater than one.
We go back to the case of a smooth map .
Corollary 2.10**.**
Let be a Banach space, a neighborhood of , a smooth manifold, and a smooth mapping. Assume that there exists such that:
- (i)
.
- (ii)
For every non-zero and there exists such that .
Then is open at the origin.
Proof.
We assume without loss of generality that for every . If there exists such that then is open at the origin by Theorem 2.3.
By assumptions (i) and (ii), and recalling that , we deduce by Theorem 2.8 that for every non-zero that the mapping has a -regular zero . Projecting onto , we deduce that is -regular zero for in the sense of Definition 2.7, and the claim follows. ∎
Remark 2.11**.**
The conclusions of Corollary 2.10 are unsatisfactory because they are not easily exploitable in the study of the end-point map, in particular at critical points of corank higher than one.
While in the second order analysis the Morse theory provides, via the algebraic notion of index, effective sufficient conditions ensuring the open mapping property, in the third order case we lack a solid algebraic theory describing the invariants of symmetric tensors of order , where not even the concepts of rank and symmetric rank necessarily coincide [34], and the diagonalization process is not clear. This makes it difficult to find effective conditions ensuring the existence of regular zeros for cubic maps.
3. Third order analysis of the end-point map
In this section we expand the end-point map and we compute the precise structure of its third order term. The computations use the language of chronological calculus for non-autonomous vector fields, that is briefly recalled in the first subsection.
3.1. Elements of chronological calculus
Let be a smooth manifold and let be a time-dependent vector field, that is, a map so that for every .
The flow of is the map , , given by evaluating at time the solution to the Cauchy problem:
[TABLE]
We assume for our purposes that the solution to (3.1) is defined for every . It is enough to assume that the vector field is smooth in the space variable and locally integrable in the time variable for problem (3.1) to have a unique solution (see, e.g., [16, Chapter 2, Theorem 1.1]).
We will adopt the point of view of operatorial calculus. In particular, we interpret points as linear functionals on the algebra , that is as evaluations , and we interpret diffemorphisms of as automorphisms of defined by the formula . Finally, we identify a vector field with the derivation of the algebra given by .
The Cauchy problem (3.1) can be reformulated as the following Cauchy problem of operators on :
[TABLE]
where is the composition of operators on acting from left to right, i.e.:
[TABLE]
for every and every . The characterization (3.2) of motivates the following notation:
[TABLE]
and we call the right chronological exponential of . Integrating iteratively the differential equation in (3.2), we may formally expand in the following Volterra series:
[TABLE]
where
[TABLE]
We agree that , and , that is the -th dimensional simplex. The series (3.5) are to be interpreted as identities of operators on . They are never convergent unless . However, considering only finitely many terms leads to an asymptotic expansion for the chronological exponential with a precise estimate for the remainder, see [5, §2.4.4].
For fixed , is a diffeomorphism of , and we denote its inverse by , . Differentiating in the operatorial identity we obtain , motivating the notation
[TABLE]
and we call the left chronological exponential of . Notice that in the differential equations for and the vector fields is composed from the right with and from the left with . Similarly as for , the left-chronological exponential has the formal expansion:
[TABLE]
and it follows from the definitions that for any there holds the identity:
[TABLE]
A tangent vector can be seen as a linear functional on the algebra , defined by the formula . Given a diffeomorphism of we denote by its differential. The tangent vector defines then an operator on according to the formula . Indeed, if is a differentiable curve such that and , then for every we have:
[TABLE]
Recall next that a diffeomorphism of acts on tangent vectors and vector fields via push-forward, namely if we have
[TABLE]
for every . We may interpret this operation in terms of operators on . The previous identity reads as the following composition of operators , that leads to the operatorial definition:
[TABLE]
For and a diffeomorphism of , the operator is defined by the formula
[TABLE]
In fact, acts on vector fields as the push-forward of , and therefore coincides with the pull-back of by .
These notions apply in particular to the maps , allowing for the following “infinitesimal” characterization: for every there holds
[TABLE]
where, by definition, denotes the (left) Lie-bracket as an operator on . Thus, using the argument in [5, §2.5], we then see that is the unique solution to the Cauchy problem on
[TABLE]
and this motivates the following notation:
[TABLE]
3.2. Expansion of the end-point map
Let be a smooth manifold and let be smooth vector fields on . Given we will use the short-hand notation . Note that is a time-dependent vector field as in the previous subsection.
Definition 3.1**.**
The end-point map relative to the vector fields is the map given by
[TABLE]
Recall that we are assuming that the Cauchy problem for has a solution defined on the whole interval . We perform a perturbation analysis of the end-point map with respect to the control variable. To this aim, recall that by the variation formula in [5, §2.7, (2.28)] we have:
[TABLE]
This motivates the following definition.
Definition 3.2**.**
The perturbation map relative to the vector fields is the map given by
[TABLE]
The term “perturbation” is of course motivated by the fact that, by the variation formula, there holds:
[TABLE]
so when and is small, is a small perturbation of . For , we define the time-dependent vector field
[TABLE]
As an operator on , admits the formal expansion:
[TABLE]
Replacing by in (3.20) and dropping the dependence on , we introduce the family of diffeomorphisms depending on the parameter :
[TABLE]
Now we compute a different expansion for , where the role of the Lie-brackets of is more transparent. We can compute the derivative in of using [5, §2.8, (2.31)]:
[TABLE]
where the vector field is given by the formula
[TABLE]
For the definition of the integral of a non-autonomous vector field , we refer to [5, §2.3].
Comparing (3.22) with (3.8) we deduce that:
[TABLE]
Thus the formal series in (3.21) and (3.24) coincide for every . From formula (3.24) we deduce the following expansion for as an operator on .
Lemma 3.3**.**
For every we have:
[TABLE]
where
[TABLE]
Proof.
We begin with the expansion of in (3.23) as a power series in . Thanks to [5, §2.5, (2.23)], we obtain , where
[TABLE]
We then compute the first three terms of the sum in (3.24):
[TABLE]
Then using these formulas in (3.24), we get
[TABLE]
where the estimate on the remainder follows from Remark 3.4 below. From this formula, we can compute the directional derivatives
[TABLE]
obtaining formulas (3.26), (3.27), and (3.28). ∎
Remark 3.4**.**
Even if Lemma 3.3 is enough for our purposes, the computation’s method in the proof is algorithmic and permits to determine the terms of any order in the expansion of . Indeed, for we have the formal identity
[TABLE]
As consequence of Lemma 3.3, we obtain an explicit formula for the intrinsic third differential of (recall Definition 2.4).
Proposition 3.5**.**
For any and we have:
[TABLE]
Proof.
Let and be such that and . Since , we deduce that
[TABLE]
By the definition of the third differential and by a computation similar to (2.2) we have
[TABLE]
We used (3.41) to prove that the terms involving second and third order derivatives of are zero. Moreover, as we also have
[TABLE]
Returning to the chronological notation, we have to expand to the third order the expression
[TABLE]
Comparing (3.25) with the expansion provided in (3.20), we have to calculate:
[TABLE]
From formula (3.27) in Proposition 3.3 we obtain
[TABLE]
Indeed, since , the second term is zero by (3.41), and moreover
[TABLE]
so that the dual product with cancels also the first one.
By (3.28), (3.41) and , for the last term in (3.45) we similarly obtain the identity
[TABLE]
whence the thesis follows. ∎
Remark 3.6**.**
The representation formula (3.40) for in terms of Lie brackets is not unique, and a different representation can be obtained in the following way. If we compute the derivative of according to [5, §2.8, (2.32)], we find
[TABLE]
where
[TABLE]
Note that the composition order of and in (3.49) is reversed compared to (3.22). Since, by (3.9), we have
[TABLE]
the expansion in Volterra series of is
[TABLE]
In (3.52), the order of the vector fields in the commutator is reversed with respect to (3.32). Our computation also yields the identity
[TABLE]
thanks to which we may obtain another expression for .
Even though the representation for the third differential is not unique, for any and we have the identity:
[TABLE]
For the second differential, the two series in (3.32) and (3.52) produce the same formula, that was already established e.g. in [5, §20.3]. For further discussions concerning the algebra of all representations for the th differential we refer to [3].
4. Third order necessary conditions for singular length-minimizers
We use the Taylor formula for the end-point map obtained in Section 3, in connection with our open mapping results, to get third-order necessary conditions satisfied by strictly singular length-minimizers.
Let be smooth vector fields on the manifold spanning the distribution and satisfying the Hörmander condition (1.1). We denote by the space of controls and by , the length-functional. For a fixed , we consider the end-point map . The extended end-point map is the map given by .
Definition 4.1**.**
A critical point of is regular (resp. singular) if there exists such that (resp. ). A critical point is strictly singular if, for every , . An extremal curve is regular (resp. singular, strictly singular), if its associated control is regular (resp. singular, strictly singular).
If is strictly singular, the length-coordinate is covered by and thus the intrinsic second and third differentials of the extended end-point map coincide with the ones of end-point map itself.
Let be the final point and, as in formula (3.18), define letting . In this section we omit in and the subscripts , and the superscript . The openness of at is thus further reduced to the openness of at [math]. By construction, we have the following identities
[TABLE]
Thanks to Proposition 3.5, given the trilinear map associated with is given by:
[TABLE]
Corollary 2.10 specializes as follows.
Proposition 4.2**.**
Assume that there exists such that:
- (i)
;
- (ii)
For every non-zero and the real-valued map
[TABLE]
is not the zero mapping.
Then is open at zero.
As a consequence we have the following corollary, that is of interest when :
Corollary 4.3**.**
Let be the control of a strictly singular length-minimizing curve. Then, for every one of the following holds:
- (i)
, or
- (ii)
there exist a non-zero covector and such that for every .
For strictly singular length-minimizers of corank one, the negation of Theorem 1.1 provides a more refined criterion. Indeed, its contrapositive translates into a pointwise condition as soon as the subspace is sufficiently large.
Let us first recall the construction of adjoint curves. Let be an admissible curve with control , with and . We denote by the flow of the non-autonomous vector field as in (3.4). Then we have for . By our discussion in Section 3.1, we see that the differential is given by
[TABLE]
The adjoint map sends to . For every , the curve of covectors defined by
[TABLE]
is called the adjoint curve to relative to . In the corank 1 case, this curve is unique up to normalization of .
Proof of Theorem 1.2.
Proving (1.3) is equivalent to show that for any and for we have
[TABLE]
where, as in (3.19), we set for and . Indeed, for all we have
[TABLE]
where we set .
Let us fix . Given such that , for every compactly supported in we define
[TABLE]
and zero elsewhere. We consider the subspace of
[TABLE]
and we observe that while depends on , its codimension does not.
Given , its primitive with is
[TABLE]
Similarly, for any as in (4.2) let be its primitive with . It is immediate to establish the identity:
[TABLE]
Moreover, if the zero-mean property of translates into:
[TABLE]
In the next lines, we shall use several times the following integration by parts formula. For every and , denoting by the primitive of , we have:
[TABLE]
Starting from Proposition 3.5, applying this formula to and using (4.6) we obtain:
[TABLE]
where , , and are defined through the last identity.
From their very definition, we see that the maps
[TABLE]
are Lipschitz continuous for every because their derivatives depend on time through a locally bounded vector field (compare with (3.14)). Then we have the expansion
[TABLE]
where the error is uniform for .
Now we estimate the terms , , and appearing in (4.10). We claim that
[TABLE]
To prove this identity we perform in the change of variable with , and we use (4.5) and (4.12). With a similar argument, we show that
[TABLE]
We conclude that
[TABLE]
Let us introduce the set:
[TABLE]
As in (4.4), in the next lines given we set . By point (i) of Theorem 1.1, the map is the zero map. Otherwise the curve would not be length-minimizing. This implies that the principal term in (4.14), i.e., the cubic map ,
[TABLE]
is identically zero. By polarization, we conclude that the trilinear map associated with ,
[TABLE]
is zero as well. Integrating by parts and using the Jacobi identity, we obtain
[TABLE]
and a similar expansion holds for , switching the role of and . Plugging these expressions in (4.15), we find:
[TABLE]
To conclude the proof it suffices to show that implies that the trilinear map
[TABLE]
is zero. We now prove by contradiction that if then , thus completing our argument.
Assume that there exist vectors such that . We claim that there exists such that:
- (i)
and belong to , and
- (ii)
we have for some
[TABLE]
To see this, let us consider the standard trigonometric basis of ,
[TABLE]
Since is, by assumption, of finite codimension in , it is also of finite codimension in , implying that for any given vector the set
[TABLE]
is finite. Our assertion follows picking and defining . Finally, with and chosen as above and using (4.22), we deduce from equation (4.20) that
[TABLE]
whence the absurd. ∎
Remark 4.4**.**
In accordance with the two possible expressions of given in (3.55), we observe that (1.3) is symmetric with respect to and , being therefore independent of the choice of the representation.
5. Third order analysis of a singular extremal
We prove in this section Theorem 1.3. The sub-Riemannian structure in its statement has step . If then there is no singular curve because if a covector is orthogonal to , and then it is zero, contradicting the Pontryagin Maximum Principle. If then has constant step equal to away from the plane . Then any singular extremal passes through .
Proof of Theorem 1.3 - (i).
A horizontal curve satisfies, for some control ,
[TABLE]
We assume that and that for a.e. . If is a strictly singular extremal, the Prontryagin Maximum Principle yields a non-zero dual curve satisfying along the additional equations
[TABLE]
The Goh condition along implies the further relation . Now, using , it is not difficult to see that and thus . Then we have and thus . In particular is a singular extremal, whose dual curve is constant , and whose control, , is constant as well.
We claim that the curve is strictly singular. Indeed, any regular extremal together with its dual curve is a characteristic curve of the following Hamiltonian system. Let be the Hamiltonian
[TABLE]
If is regular, then the pair solves the system of ordinary differential equations and . In particular, is smooth.
Now assume by contradiction that for the curve there exists an absolutely continuous curve of covectors such that and . If satisfies the first equation, it follows that and . From the second equation it then follows that , that is a contradiction. ∎
When , we have , and thus is not even “regular abnormal” in the sense of [24, Section 6]. Now we show that when is an even integer the singular curve is locally length-minimizing.
Proof of Theorem 1.3 - (ii).
The precise claim we prove is the following: let be an even integer and . For any compact interval such that , the segment , , is the unique length-minimizing curve in joining the point to . The proof follows an idea of [24, Section 7.1].
Let and let be any horizontal curve parameterized by arc-length such that and . Then there exist measurable functions (unique up to sets of measure zero) such that
[TABLE]
We claim that, under the hypothesis that , one has
[TABLE]
with equality holding only for and a.e. on .
Using this claim, the proof can be concluded in the following way. If is another admissible curve joining and in time , we construct another curve by attaching to a straight segment back and forth from , for a total time . But then, the inequality in (5.1) would be strict, and we have an absurd. Moreover, we observe that . So we have equality in (5.1), and from the claim it follows that . This proves that is the unique length-minimizing curve between its end-points.
We prove (5.1). Let us define the function for and . Since
[TABLE]
it suffices to show that , that is a consequence of the following inequalities:
[TABLE]
The inequality in the right-hand side follows easily, since
[TABLE]
To prove the inequality in the left-hand side of (5.2), we fix such that . Since and a.e. on , we have , meaning that the intervals and are contained in . These arguments also imply that on and , is bounded from below by linear functions and , respectively, such that and . Since the exponent is even, this implies that , as desired.
Clearly, if a.e. on we have equality in (5.1). Conversely, assuming that equality holds we deduce that , whence from (5.2) we obtain
[TABLE]
which holds if and only if on . Since , then , and this concludes the proof. ∎
The first case where the previous argument fails is when . In this case, to the best of our knowledge it is an open question to decide whether the curve is minimizing or not. Using Theorem 1.1, we will see that the answer is in the negative.
Proof of Theorem 1.3 - (iii).
Let be the end-point map with initial point introduced in (3.16). We claim that is open at the point , the control of the singular trajectory . As in (3.18) and (3.20), we let , where . The infinitesimal analysis of at is reduced to the infinitesimal analysis of at [math]. By Lemma 3.3 the differential of at [math] is given by , where
[TABLE]
and \mathrm{Ad}\big{(}\overrightarrow{\exp}\int_{1}^{t}f_{u(\tau)}d\tau\big{)} is the differential of the inverse of the flow , where , , and , where is the horizontal trajectory with control such that . Using the formulas for and in (1.4), we find
[TABLE]
The inverse of the differential is given by
[TABLE]
Accordingly, the vector fields and are
[TABLE]
and we obtain the following formula for the differential of :
[TABLE]
We then see that a generator of is the covector .
We compute the intrinsic Hessian , again using Lemma 3.3. By (5.3), for every and every at the point we have . Then for every , hence .
Finally, we compute the intrinsic third differential . Note first that since the intrinsic Hessian vanishes, by our definition in (2.4) we also have . The only commutator of length three which has non-zero third component is , and namely we have
[TABLE]
Then, again by Lemma 3.3, for , the third differential is
[TABLE]
Hence, by Theorem 1.1 the mapping is open at [math] and thus the singular trajectory is not optimal (i.e., of minimal length). Alternatively, we could have used Theorem 1.2 to deduce that , contradicting Pontryagin Maximum Principle.
∎
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