Extremal Cylinder Configurations I: Configuration $C_{\mathfrak{m}}$
Oleg Ogievetsky, Senya Shlosman

TL;DR
This paper analyzes a specific family of six-cylinder configurations touching a sphere, demonstrating that the record configuration is a local maximum and exploring hidden symmetries in certain cases.
Contribution
It proves that the record configuration is a rigid local maximum and identifies conditions under which configurations exhibit hidden symmetries.
Findings
Record configuration $C_{\mathfrak{m}}$ is a local sharp maximum.
Configuration $C_{\mathfrak{m}}$ is rigid and unlockable.
Configurations with certain rational parameters have hidden symmetries.
Abstract
We study the path in the moduli space of configurations of 6 equal cylinders touching the unit sphere. Among the configurations is the record configuration of \cite{OS}. We show that is a local sharp maximum of the distance function, so in particular the configuration is not only unlockable but rigid. We show that if is a rational number but not a square of a rational number, the configuration has some hidden symmetries, part of which we explain.
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**Extremal Cylinder Configurations I:
Configuration **
Oleg Ogievetsky111Also at Lebedev Institute, Moscow, Russia. and Senya Shlosman
*⋄*Aix Marseille Université, Université de Toulon, CNRS,
CPT UMR 7332, 13288, Marseille, France
*†*Inst. of the Information Transmission Problems, RAS, Moscow, Russia
‡ Skolkovo Institute of Science and Technology, Moscow, Russia
*∗*Kazan Federal University, Kremlevskaya 17, Kazan 420008, Russia
I do not ask for better than not to be believed.
Axel Munthe, The story of San Michele
Abstract
We study the path in the moduli space of configurations of 6 equal cylinders touching the unit sphere. Among the configurations is the record configuration of [OS]. We show that is a local sharp maximum of the distance function, so in particular the configuration is not only unlockable but rigid. We show that if is a rational number but not a square of a rational number, the configuration has some hidden symmetries, part of which we explain.
Contents
1 Introduction
This is a continuation of our work [OS]. In that paper we were considering the configurations of six (infinite) nonintersecting cylinders of the same radius touching the unit sphere . We were interested in the maximal value of for which this is possible. We have constructed in [OS] the ‘record’ configuration of six cylinders of radius
[TABLE]
thus we know that the maximal value of is at least We believe that is in fact the maximal possible value for , but we have no proof of that.
In [OS] we have constructed the deformation of the configuration of six vertical unit nonintersecting cylinders. The configuration corresponds to while – to . These configurations are shown on Figure 1 (the green unit ball is in the center).
To explain the results of the present paper, we introduce some notation. A cylinder touching the unit sphere has a unique generator (a line parallel to the axis of the cylinder) touching . We will usually represent a configuration of cylinders touching the unit sphere by the configuration of tangent to lines. The manifold of all such six-tuples we denote by
For example, let be the configuration of six nonintersecting cylinders of radius parallel to the direction in and touching the unit ball centered at the origin. The configuration of tangent lines associated to the configuration is shown on Figure 2.
Let be two equal cylinders of radius touching which also touch each other, while are the corresponding tangents to If is the distance between then we have
[TABLE]
so it is really the same - to study the manifold of six-tuples of cylinders of equal radii, some of which are touching, or to study the manifold and the function on it:
[TABLE]
In this paper we prove that the configuration is a sharp local maximum of the function . In the process of the proof we also show that () the 15-dim tangent space at contains a 4-dimensional subspace along which the function decays quadratically, while along any other tangent direction it decays linearly.
It turns out that the question of finding sufficient conditions for the extrema of the functions can be quite delicate.
For the configuration we distinguish twelve relevant distances , , out of the total of fifteen pairwise distances between the tangent lines. Thus the question is about the local maximum of the non-analytic function (the minimum of the squares , , of these twelve distances) in fifteen variables.
We make a general remark. Let be analytic functions in variables, , and let
[TABLE]
We assume that , . Suppose that the point is a local maximum of the function . Then the differentials are necessarily linearly dependent at [math]. Indeed, let , , be the half-space in on which the differential is positive. If the differentials are independent at [math] then the intersection of the half-spaces is non-empty, so there is a direction from [math] along which all functions are increasing, thus the point [math] is not a local maximum of the function . This remark is a generalization of the case (just one analytic function): if the point [math] is a local maximum of an analytic function then its differential vanishes at the point [math], .
We return for a moment to the configuration . We calculate explicitly the differentials of the squares of the twelve relevant distances , , . Our first observation is that they are indeed not linearly independent. More precisely, there is a single linear combination of the differentials which vanish, .
We continue the general remark. Suppose that the point is a local maximum of the function and there is exactly one linear dependency between the differentials at [math]. Then this dependency must be convex, in the sense that it must have the form with , . Indeed, let us assume that the single linear combination of the differentials is not convex. Then, renumbering, if necessary, the functions , we write the linear dependency between the differentials in the following form
[TABLE]
with , . The differentials are independent and the subset of where is a non-empty open convex cone in which all the differentials are positive, so again the point [math] cannot be a local maximum of the function .
This is exactly what happens for the configuration . The unique linear combination of the differentials of the twelve relevant distances is convex. We thus have a four-dimensional linear subspace of the tangent space on which all twelve differentials vanish. Here 4 = 15 (dimension of the configuration space mod ) - 12 (the number of relevant distances) + 1 (the number of relations between the differentials).
The presence of the linear convex dependency between the differentials is necessary, but not sufficient, and we have to continue the analysis. Let , , denote the second differentials of the functions , , . Let be the restriction of the same convex combination of the second differentials to the space , .
Our second observation is that the form is negatively defined. We prove (and it is not immediate) that the local maximality is implied by these two observations.
Our results imply that the configuration is unlockable and, moreover, rigid.
The precise meaning of the unlocking is the following. Let be a collection of non-intersecting open solid bodies, where each touches the unit central ball, while some distances between bodies of are zero. We call a family , , of collections of non-intersecting open solid bodies, touching the unit central ball, a continuous deformation of the collection if , , where is a continuous curve in the group of Euclidean motions of with . We say that can be unlocked if there exists a continuous deformation of such that some of zero distances between the members of the configuration are positive in for all .
We say that a configuration is rigid if the only continuous deformations of are global rotations in the three-dimensional space.
In [K] W. Kuperberg suggested another configuration of six unit non-intersecting cylinders touching the unit sphere and asked whether it can be unlocked. It is the configuration shown on Figure 3. We are planning to address this question in the forthcoming work [OS-O6].
While calculating variations of distances we observed that the coefficients of the Taylor decompositions of squares of the pairwise distances around the record point belong, after a certain normalization, to the field , where is the golden ratio. This miraculous fact allows us to reveal a hidden symmetry of the formulas for the coefficients of the Taylor expansions of distances around the point . Namely, the Galois conjugation in the field restores the original -symmetry of the configuration .
Puzzled by the hidden Galois symmetry, we performed several experiments wondering whether this symmetry is specific for the record point or it is inherent at some other points of the curve . It turns out that for all rational such that is not rational, we have a similar phenomenon. Namely, when we perturb the configuration , the Taylor coefficients, after a certain normalization, belong to a (real) quadratic extension of the rational field , and Galois conjugation restores the -symmetry of the formulas for variations.
The paper is organized as follows. The next section introduces further notation, concerning our manifold . In Section 3 we formulate our main local maximality results. Section 4 contains the proofs of assertions from Section 3. Our general results concerning sufficient conditions for the local extrema of the function are collected in Section 5. The last Section 6 is devoted to the hidden symmetry of the configuration and, more generally, to the hidden symmetry of the configurations .
2 Configuration manifold
Here we collect the notation of [OS] used below.
Let be the unit sphere, centered at the origin. For every we denote by the set of all (unoriented) tangent lines to at We denote by the manifold of tangent lines to We represent a point in by a pair , where is a unit tangent vector to at though such a pair is not unique: the pair is the same point in
We shall use the following coordinates on . Let be the standard coordinate axes in . Let , and be the counterclockwise rotations about these axes by an angle , viewed from the tips of axes.
We call the point the North pole, and – the South pole. By meridians we mean geodesics on joining the North pole to the South pole. The meridian in the plane with positive coordinates will be called Greenwich. The angle will denote the latitude on and the angle – the longitude, so that Greenwich corresponds to Every point can be written as .
Finally, for each , we denote by the rotation by the angle about the axis joining to counterclockwise if viewed from its tip, and by we denote the pair where the vector points to the North. We also abbreviate the notation to .
Let be two lines in . We denote by the distance between and ; clearly iff If the lines are not parallel then the square of is given by the formula
[TABLE]
where is the scalar product.
We note that if then the cylinders and touching at having directions and radius touch each other iff
[TABLE]
Indeed, if the cylinders touch each other, we have the proportion:
[TABLE]
We denote by the manifold of 6-tuples
[TABLE]
We are studying the critical points of the function
[TABLE]
Note that .
3 The critical point
The configuration in our notation can be written as
[TABLE]
We need also the configurations :
[TABLE]
In [OS] we have constructed a a continuous curve
[TABLE]
on which the function D\bigl{(}\gamma(\varphi)\bigr{)} grows for and decays for . For the ‘record’ point we have
[TABLE]
with
[TABLE]
The radii of the corresponding cylinders are equal to (see formula (1)) which, we believe is the maximal possible common radius for six non-intersecting cylinders touching the unit ball.
Note that placing the cylinders of radius 1 instead of leaves a spacing for each cylinder. Even if we could manage to move these unit cylinders in such a way that the spacings would behave additively then the total spacing would be which does not make enough room for a seventh unit cylinder (the problem of whether seven infinite circular non-intersecting unit cylinders can be arranged about a central unit ball is open).
The configuration is shown on Figures 6, 6 and 6.
There is now an animation, on the page of Yoav Kallus [Ka], demonstrating the motion of the configuration of 6 cylinders along the curve .
3.1 Main maximality result
In [OS] we have shown that the function has a global maximum at the point , corresponding to the configuration . We now study the function in the vicinity of the point C_{\mathfrak{m}}\ in the whole space .
Theorem 1
The configuration C_{\mathfrak{m}}\is a point of a sharp local maximum of the function for any point in a vicinity of we have
[TABLE]
In the process of the proof, we will see that there exists a 4-dimensional subspace in the tangent space of at such that for any we have
[TABLE]
for small enough. Here and are some constants, and stands for the exponential map applied to the tangent vector .
For the tangent vectors outside we have
[TABLE]
where now and are some positive valued functions of , .
Note, however, that the last two inequalities do not imply our Theorem, as the example of the Section 3.2 shows.
3.2 Toy example
Suppose that we know that along any tangent direction to the critical point the function decays, either linearly or at least quadratically. We emphasize that this property by itself does not imply our main result about the local maximality of this point. An extra work is needed to prove the maximality statements. The following example explains this.
Let be a function of two variables defined by
[TABLE]
The function equals 0 at the origin. Consider an arbitrary ray starting at the origin. Clearly, for some time this ray evades the ‘horns’ – the region between the parabolas and But outside the horns the function is negative. Indeed, inside the the narrow parabola we have so is negative there; outside the wide parabola we have so is negative there as well. Therefore the origin is a local maximum of restricted to for any Yet the origin is not a local maximum of the function on the plane, because inside the horns the functions and are positive so there is positive as well 222Compare with the ‘Example of a differentiable function possessing no extremum at the origin but for which the restriction to an arbitrary line through the origin has a strict relative minimum there’, Chapter 9 in [GO]..
Note that there is a convex linear combination of the differentials of the functions and which vanishes (the sum of the differentials); both differentials vanish on the line . However the restriction of the sum of the second differentials to this line is positive, in line with our Theorem 2, Subsection 5.1.
This toy example captures the essential features of questions we encounter in the study of local maxima of the distance functions. Some general theorems needed to establish maximality assertions are formulated and proven in Section 5.
4 Proof of Theorem 1
For any the configuration , defined by the formula (6), possesses the dihedral symmetry group . The group is generated by the rotations and . Because of the -symmetry, the fifteen pairwise distances between the lines in the configuration split into four groups: we have for the six-plet , and , and for the three triplets , and . For any configuration lying on the curve , see (7), twelve of the fifteen distances coincide (we additionally have ). In the proof we shall study variations of distances in a vicinity of the point in . The distances from the -triplet are greater than the other twelve (equal) distances for the configuration , see [OS], so these three distances are not relevant in the study of the local maximality of the configuration .
The perturbed position of a tangent line is
[TABLE]
where
[TABLE]
is the maximal point on our -symmetric curve and
[TABLE]
The numerical factors here are introduced for convenience, because with this normalization the coefficients of the Taylor decompositions of squares of distances around the record point belong (we do not understand the reason for this) to the field , where is the golden section,
[TABLE]
To fix the rotational symmetry we keep the tangent line at its place, that is, , , working therefore in the 15-dimensional space mod .
4.1 Variation of distances in the first order
We first list all differentials.
Let
[TABLE]
The seemingly strange indices of and are used due to the prime decompositions
[TABLE]
in the ring of golden integers.
The differentials of the -triplet are
[TABLE]
[TABLE]
[TABLE]
The differentials of the -triplet are
[TABLE]
[TABLE]
[TABLE]
For the 6-plet we have
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
The expressions for the differentials , , and look shorter but this is only because of our convention to keep the tangent line fixed.
4.2 Linear dependence of differentials
Our 12 linear functionals are not linearly independent. To see this consider the functionals
[TABLE]
[TABLE]
and
[TABLE]
Let also (keeping in mind that )
[TABLE]
and
[TABLE]
A direct computation shows that
[TABLE]
and
[TABLE]
so the following strictly convex combination (that is, the linear combination with positive coefficients) of the differentials vanish:
[TABLE]
This is the only relation between the differentials: a direct computation shows that the linear space, spanned by the differentials, is 11-dimensional.
Let denote the null-space of our differentials, i.e. the linear subspace of the tangent space on which all the differentials vanish. It has the dimension .
4.3 Relevant quadratic form
We have now to study our functions to the next order, . We have performed the calculation of the 12 quadratic forms using Mathematica [W]. The formulas are quite lengthy and we do not reproduce the full details since it is just an intermediate result.
The only quadratic form important to us is, as we will explain in Section 5, the same combination (10) but calculated for instead of .
This is a quadratic form in 15 variables. However, due to the results of Section 5, it is enough to calculate the restriction of this form to the null-space of the differentials. If this restriction to would be negatively defined, that will prove our result.
The subspace has dimension 4. As independent variables on we choose
[TABLE]
The resulting quadratic form on is where
[TABLE]
Here , , , and bar stands for the Galois conjugation (the replacement of by ) in the field .
A direct calculation shows that is indeed negatively defined and the result follows, by applying the theorem 2, Section 5.
5 Local maximum
This section provides a sufficient condition which ensures that the point is a sharp local maximum of the function
[TABLE]
where the functions are analytic in a neighborhood of and , (for the configurations of tangent lines in Theorem 1 the functions are the differences between the squares of distances in the perturbed and initial configurations). This sufficient condition is needed to complete the proofs of Theorem 1.
We denote by and the coefficients of the linear and quadratic parts of the function , ,
[TABLE]
where stand for higher order terms. Here and till the end of the Section the summation over repeated coordinate indices is assumed.
Let , , be the coordinates, corresponding to the coordinate system , in the tangent space to at the origin. We define the linear and quadratic forms and on the tangent space . Let be the subspace in defined as the intersection of kernels of the linear forms ,
[TABLE]
The configuration provides a particular example, see Section 4, of a family of analytic functions in variables, , possessing the following two properties:
- (A)
The linear space, generated by the linear forms is -dimensional; moreover, the linear relation between is strictly convex,
[TABLE]
with . Therefore,
[TABLE]
- (B)
The inequality
[TABLE]
admits only the trivial solution .
In the setting of Section 4, and .
For the configuration the properties (A) and (B) hold. The only relation between the differentials is the relation (10); this is the property (A). The property (B) follows since the form (11) is negatively defined.
We note that if the linear space, spanned by the linear forms , , is -dimensional then the implication (15) is satisfied if and only if the unique linear dependency between the differentials is strictly convex.
Theorem 2
Under the conditions (A) and (B), the origin is the strict local maximum of the function .
Below we give two proofs of Theorem 2. These proofs are different in nature. We present both of them because of the importance of Theorem 2 for our conclusion about the local maximality of the configuration .
Although Theorem 2 is formulated for analytic functions, any of the two proofs show that Theorem 2 holds in fact for functions of the class .
5.1 First proof of Theorem 2
Lemma 3
The conditions (A) and (B) are invariant under an arbitrary analytic change of variables, preserving the origin,
[TABLE]
Here the matrix is non-degenerate.
Proof. Substituting (17) into the decompositions (13) we find
[TABLE]
where
[TABLE]
The assertion is immediate for the condition (A). As for the condition (B), it is enough to note that , .
First Proof of Theorem 2. It follows from the condition (A) that the differentials of the functions are independent; by using the implicit function theorem we change the variables to have
[TABLE]
To make the notation lighter we use the same letters instead of .
We identify the tangent subspace with the plane .
The remaining function is
[TABLE]
where is a quadratic form. Let
[TABLE]
be the restriction of the quadratic form to .
We consider separately two cases: (i) and (ii) .
(i) The property (B) refers in our situation to the quadratic form . Due to Lemma 3, the form is negatively defined on . Thus there exists a small neighborhood of the origin in such that if then , so .
(ii) If is a small enough neighborhood of the origin in (in the chosen coordinate system the smallness depends only on the coefficients of the function ) and then the property (15) implies that there exists , , such that . We have two subcases.
(ii)1 If there is a , , such that then hence .
(ii)2 Otherwise, we have that all , . We set , . In terms of the variables , the function has the form
[TABLE]
The quadratic form is negatively defined, so the function is strictly less than zero in a punctured neighborhood of the origin. This implies that the function is strictly negative whenever all , , and at least one of them is positive. Thus again .
Remark.
It follows from the proof that the function decays quadratically at zero along any direction in and decays linearly along any direction outside .
5.2 Second proof of Theorem 2
The cornerstone of the second proof is the set
[TABLE]
We assume that all occuring real vector spaces are equipped with a Euclidean structure. For a vector we denote by the unit vector in the direction of the vector .
Our proof will use the following observation.
Lemma 4
Let be a collection of positive real numbers, , . Let be the space of -tuples of vectors in , generating the space and such that
[TABLE]
Then there exists a continuous positive-valued function such that for any unit vector we have
[TABLE]
Proof. For an angle , , let , , denote the open spherical cap, centered at (), on the unit sphere , consisting of all the points such that the angle .
For any unit vector there exists an index such that . Indeed, since the vectors span the whole space , some of the scalar products , , are nonzero. Taking the scalar product of the relation (19) with the vector we see that at least one of the scalar products has to be negative. Therefore
[TABLE]
Thus,
[TABLE]
where the function is defined by
[TABLE]
Let
[TABLE]
Clearly, . Define the function by
[TABLE]
With this choice of the function the relation clearly holds. The positivity and the continuity of the function are straightforward.
We return to the consideration of our analytic functions.
Lemma 5
If the point happens to be away from the set , see (18), and the norm is small enough then one can find a point on such that
Moreover, there exists a constant such that for and being the point in closest to we have
[TABLE]
provided, again, that the norm is small enough.
Proof. Since there is only one linear dependency between the differentials of the functions , the set is a smooth manifold in a vicinity of the origin, of dimension .
We introduce the tubular neighborhood of the manifold , which is comprised by all points of which can be represented as where and is a vector normal to at with norm less than Let be the neighborhood of the origin in , comprised by all with norm and be the part of formed by points hanging over If both and are small enough then every can be written as with in a unique way. Note that is the point on closest to . Also, for any the set evidently contains an open neighborhood of the origin.
Now we are going to show that if and both and are small enough then . To this end, let be the plane normal to at (so that ). We identify with the linear space so that corresponds to .
Now we will use Lemma 4, applied not to a single space, but to the whole collection of the -dimensional spaces To do this, we equip each with vectors which generate and which satisfy the same convex linear relation. All this data is readily supplied by the linear functionals restricted to Indeed, each restricted functional can be uniquely written as with Here the scalar product on is the one restricted from Clearly, for every we have
[TABLE]
since for every vector we have (as for any other vector). Moreover, for some , , see formula (15) or the proof of Lemma 4.
Since the space is orthogonal to the null-space , the vectors do generate . Because the spaces depend on continuously, all of them are transversal to , provided is small. Thus, the vectors do generate the spaces for all provided again that is small enough. Lemma 4 provides us now with a collection of functions on the spaces of -tuples of vectors from It follows from the continuity, in , of the spaces and the -tuples , and from the Lemma 4 that the functions can be chosen in such a way that the resulting positive function on is continuous in and also is uniformly positive, that is,
[TABLE]
for some , provided is small enough.
In virtue of Lemma 4, for every and each vector there exists an index for which the value of the functional is not only negative but moreover satisfies
[TABLE]
Hence for we have
[TABLE]
provided both and are small. Therefore
[TABLE]
where the last equality holds since , so we are done.
Theorem 2 is a straightforward consequence of the next Proposition.
Proposition 6
The point is a sharp local maximum of the function if the form
[TABLE]
is negative definite on .
In the special case when all the functions , , are linear-quadratic, are sums of linear and quadratic forms,
[TABLE]
the if statement becomes the iff statement.
Proof. In view of Lemma 5 we can restrict our search of the maximum of the function to the submanifold .
Note that the plane is the tangent plane to at the point , so the coordinate projection of to introduces the local coordinates on in a vicinity of As a result, can be viewed as a graph of a function on ,
[TABLE]
This is an instance of the implicit function theorem. The point is a critical point of all the functions
Denote by the restriction of any of the functions to . Clearly, it is a smooth function, and the differential vanishes at . So our proposition would follow once we check that** the second quadratic form of at [math] is twice the form ** To see that, let us compute the derivative at the origin; the computation of other second derivatives repeats this computation. We have
[TABLE]
and then
[TABLE]
Let us introduce the vector
[TABLE]
Then we have
[TABLE]
Since we have identities
[TABLE]
we can write also
[TABLE]
By we then have
[TABLE]
so our claim follows.
5.2.1 Concluding remark
We stress that the space , on which all the functions , , are equal, is a very natural object in the study of a local maximum of the function , see (12). As a supporting evidence we provide a simple proof of a weakened form of Lemma 5.
Lemma 7
Assume that any differentials among , , are linearly independent. If the equalities are not satisfied at a point with small enough then cannot be a local maximum of the function .
Proof. Suppose that for some , we have
[TABLE]
Since the linear functionals are independent, there exists a vector such that all the values , , are positive. Therefore all the functions , , are increasing in at provided both and are small enough.
In [OS], we were guided by this kind of logic in our search of the curve : for each the point is defined by the condition that the distances under consideration coincide.
However, Lemma 7 does not suffice for the proof of Proposition 6, as the following example shows. Let and
[TABLE]
The set is the -axis. The differential and are linearly dependent but the dependency is not convex. The restriction of any of functions on is the function having the maximum at the origin. However this is not a local maximum : for instance, the restriction of the function on the -axis is the monotone function
[TABLE]
For the proof of Theorem 2, we need, in the relation , a quantitative statement established in the claim (21) of Lemma 5.
6 Hidden symmetry
In this Section we discuss and generalize the observations from Section 4 about the algebraic nature of the Taylor coefficients for the deformations around the configuration .
6.1 Galois symmetry
As we mentioned in the proof from Section 4, the coefficients of the differentials of squares of distances around the record point belong - after the strange normalization (8) - to the field . The same holds for the coefficients of all 12 quadratic forms in 15 variables. This looks miraculous. We believe that all coefficients of the Taylor decompositions of all 15 distances (not only 12 relevant distances) around the record point belong to the field . We have checked that it is so to some orders of (for some distances up to ).
The evidence that the Galois symmetry is global – that is, that the Galois symmetry holds on the level of functions, not only their Taylor decompositions – is given in the Subsection 6.2, see Proposition 8 and especially formula (37).
We reveal now a hidden symmetry, based on the above observation, of the formulas for the coefficients of the Taylor expansions of distances around the point .
Let be a -vector space with the basis
[TABLE]
Let . We consider as a vector space over . The differentials of distances (see formulas in Subsection 4.1) are naturally interpreted as elements of . The Galois conjugation turns into an involutive automorphism of the space which we denote by .
Let and be the operators in realizing the following permutations:
[TABLE]
and
[TABLE]
It is straightforward to see that the operators and preserve the differentials of distances from Subsection 4.1. The operators and (as well as the permutations and ) generate the group .
Let be the operator in defined by
[TABLE]
for the following permutation :
[TABLE]
the elements and are fixed by . Finally, let be the composition of the Galois involution and ,
[TABLE]
The direct inspection shows that the operator preserves the differentials of distances from Subsection 4.1; it sends the differentials of the -triplet to the differentials of the -triplet and permutes the differentials of the 6-plet .
Let be the group generated by the operators , and . We have
[TABLE]
so the group is generated by the operators and alone. The underlying permutation of is
[TABLE]
so
[TABLE]
Thus, the group is the dihedral group . Note that the underlying permutations of tangent lines form exactly the the symmetry group of the initial configuration .
We have checked that the operator preserves the second differentials as well and we believe that it is so for all orders of the Taylor expansion. In the same way as for the first differentials, the operator sends the second differentials of the -triplet to the second differentials of the -triplet and permutes the second differentials of the 6-plet . To convince the reader we present three formulas for the second differentials, one differential for each of the triplets and and one differential for the 6-plet :
[TABLE]
[TABLE]
[TABLE]
[TABLE]
for the -triplet,
[TABLE]
[TABLE]
[TABLE]
[TABLE]
for the -triplet and
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
for the 6-plet.
We believe that this action of the group extends to all orders of the Taylor decompositions of the distances.
Remark.
We were not discussing the remaining -triplet because it was not relevant for the proof. Still, the same phenomenon holds for the Taylor coefficients of the squares of the distances in this triplet. As an illustration we present the first and second differentials for the squares of the distances between the lines and :
[TABLE]
and
[TABLE]
[TABLE]
[TABLE]
[TABLE]
6.2 Discussion
Puzzled by the hidden Galois symmetry, described in Subsection 6.1, we performed several experiments wondering whether this hidden symmetry is specific for the record point or it is inherent at some other points of the curve , see formula (7), Section 3. We computationally clarify this question in the present section. Namely we explain the geometric origin of the symmetry and show that it becomes the Galois symmetry for ‘rational’ points of the curve .
We recall some information about the curve [OS].
The curve is related to a part of the plane algebraic curve where
[TABLE]
see Fig. 7.
The curve admits the following parameterization:
[TABLE]
[TABLE]
where ranges from 1 to 0.
The parameterization of the curve is given by
[TABLE]
and
[TABLE]
For brevity, we denote by the configuration C_{6}\bigl{(}\varphi(x),\delta(x),\varkappa(x)\bigr{)} of six tangent lines. The squares of the relevant twelve distances between the lines of the configuration are all equal to
[TABLE]
In our experiments we were fixing various rational values of the parameter , then making a general (involving all 15 parameters) perturbation of the configuration and studying the nature and the structure of the Taylor coefficients of the squares of distances in a vicinity of .
For example, at , the Taylor coefficients, after an appropriate normalization, belong to and the Galois automorphism of restores the symmetry, as in Section 6.1. However, at , the Taylor coefficients, after an appropriate normalization, belong to .
To summarize the results of our study, let
[TABLE]
As in Section 4 the perturbed position of a line in the configuration is
[TABLE]
and
[TABLE]
Here and are normalization constants.
As before, to fix the rotational symmetry we keep the tangent line at its place, that is, , .
Proposition 8
Let be a rational number between 0 and 1 such that is not rational.
(i)* There exists a choice of the normalization constants and such that the Taylor coefficients of the squares of distances belong to .*
(ii)* The operator , defined by the formula (27), where is the Galois conjugation of , restores the symmetry.*
Note. For we find that is rational, . The equation , and , can be easily solved: substituting we find , so the question reduces to Pythagorean triples.
The irrationality can be found among the geometric objects in the configuration . This irrationality is related to the cosine of the angle between the tangent lines and . We calculate:
[TABLE]
In particular, under the conditions of Proposition 8, and we can reformulate the part (i) of Proposition 8: the coefficients of the Taylor expansions belong to the field .
The cosine of the angle between the tangent lines and is equal to , the Galois conjugate of in the field ,
[TABLE]
Sketch of the Proof of Proposition 8. We do not furnish the complete details in order not to overload the presentation. Namely, we will work with only two distances, and . Since we keep the line fixed (which makes the formulas more tangible), the distance depends, for a given , on the three parameters, characterizing the position of the perturbed line . We consider only a simplified situation, namely we perturb only the angle333 Due to the character of the formulas, the angle is the most manageable of the three angles. We will write the formula for the distance between the line and the perturbed line ‘im großen’, without decomposing in the Taylor series. of the line and follow the dependence of the distance on this variation. Thus, for a given , we consider the function d\bigl{(}A,D(\xi)\bigr{)} where
[TABLE]
Since the tangent function has rational Taylor coefficients, we are allowed to pass to the variable
[TABLE]
instead of .
In the notation of Section 2, let u=\bigl{(}(\varphi_{1},\varkappa_{1}),\uparrow_{\delta_{1}}\bigr{)} and v=\bigl{(}(\varphi_{2},\varkappa_{2}),\uparrow_{\delta_{2}}\bigr{)} be two lines in . The formula (2) for the square of the distance between lines and has the following explicit form in the coordinates
[TABLE]
where
[TABLE]
[TABLE]
and
[TABLE]
Assertion (i).
Let
[TABLE]
where
[TABLE]
The formula (34) for the lines and gives, after numerous simplifications:
[TABLE]
where
[TABLE]
and
[TABLE]
[TABLE]
The formula (37) establishes the part (i). Indeed, the formula (35) gives the needed renormalization such that the final expression (37) is a rational function in with coefficients in .
Assertion (ii).
A parallel computation, now for the tangent lines and , yields
[TABLE]
where
[TABLE]
[TABLE]
A direct comparison shows that the expressions for d\bigl{(}A,F(\xi)\bigr{)}^{2} are obtained from the expressions for d\bigl{(}A,D(\xi)\bigr{)}^{2} by the simultaneous change of sign of and , in the full accordance with the formula (26), so the Galois action of the operator , see (27), restores the symmetry.
In the general situation, when all three parameters, and of the tangent lines and are perturbed, the closed formulas for the squares of distances are considerably lengthier (and as non-illustrative as the formula (37)) and we do not present them.
Two phenomena exhibited in Proposition 8 – (i) all irrationalities, except one, are absorbed in the normalization factors; (ii) the Galois conjugation of the remaining irrationality restores the symmetry – shows a certain consonance between the curve and the ingredients of the formula for the distance between skew lines. In the process of calculations it was important that for a rational all angles , and are purely geodetic in the sense of [CRS], that is, squares of trigonometric functions of these angles are rational.
We conclude by two remarks.
Remark 1. The Galois symmetry can be extended to all values of if one works with the functional fields. We demonstrate it in the same simplified situation, as in the proof of Proposition 8, where we perturb only the angle of the lines and . Let be the field of rational functions in one variable. We consider its biquadratic extension , where is defined by the formula (32) and – by the formula (36). The Galois group of the extension of the field is the Klein four-group generated by the sign changes of and . The Galois involution is continuous in the natural sense; it allows to define the involution which restores the symmetry. Thus, performing the involution on the level of the functional fields and only then specializing the value of allows to see a shadow of the continuous extension of the involution to all points of the curve .
Remark 2. We have added this comment because of some questions raised during our talks on the subject. The parameterization (28)-(29) serve only the part of the curve . What can be said about other components?
It is easier to work with the curve , where
[TABLE]
since the polynomial depends only on and . The real components of the curve are shown on Fig. 8.
The parameterization (28)-(29) becomes
[TABLE]
The denominators of the rational functions and are singular at and the roots and of the polynomial . For ranging from to we obtain the part III (in green) on Fig. 8; for ranging from to – the part II (in yellow) on Fig. 8; for ranging from to [math] – the part IV (in orange) on Fig. 8; finally, for ranging from [math] to we obtain the part I (in red) on Fig. 8.
The only singular point of the (homogenized) curve in the complex domain is the triple point ; it is the image of three points on the complex -plane, namely, the point and two other points .
Acknowledgements. Part of the work of S. S. has been carried out in the framework of the Labex Archimède (ANR-11-LABX-0033) and of the A*MIDEX project (ANR-11- IDEX-0001-02), funded by the Investissements d’Avenir French Government program managed by the French National Research Agency (ANR). Part of the work of S. S. has been carried out at IITP RAS. The support of Russian Foundation for Sciences (project No. 14-50-00150) is gratefully acknowledged by S. S. The work of O. O. was supported by the Program of Competitive Growth of Kazan Federal University and by the grant RFBR 17-01-00585.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
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- 5[K 2] W. Kuperberg mathoverflow page, https://mathoverflow.net/questions/156008/how-many-unit-cylinders-can-touch-a-unit-ball
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