Previous Up Next
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Lecture 7 Metric Invariants in Upper Half-Planes

So far, we have discussed only invariants like orthogonality, which are related to angles. However, geometry, in the plain meaning of the word, deals with measurements of distances and lengths. We will derive metrical quantities from cycles in a way which shall be Möbius-invariant.

7.1 Distances

Cycles are covariant objects performing as “circles” in our three EPH geometries. Now we play the traditional mathematical game: turn some properties of classical objects into definitions of new ones.

Definition 1 The σc-radius rσc of a cycle Cσcs, if squared, is equal to the minus σc-determinant of the cycle’s k-normalised (see Definition 5) matrix, i.e.
rσc2= −
⟨ Cσcs,Cσcs  ⟩
2k2
= −
detCσcs
k2
=
l2− σcs2n2km
k2
. (1)
As usual, the σc-diameter of a cycle is two times its radius.

The expression (1) for radius through the invariant cycle product resembles the definition of the norm of a vector in an inner product space [164]*§ 5.1.

Exercise 2 Check the following geometrical content of the formula (1):
(e,h)
The value of (1) is the usual radius of a circle or hyperbola given by the equation k(u2−σ v2)−2lu−2nv+m=0.
(p)
The diameter of a parabola is the (Euclidean) distance between its (real) roots, i.e. solutions of ku2−2lu+m=0, or roots of its “adjoint” parabola ku2+2lu+m−2l2/k=0 (see Fig. 1.9(a)).
Exercise 3 Check the following relations:
  1. The σc-radius of a cycle Cσcs is equal to 1/k, where k is the (2,1)-entry of the det-normalised FSCc matrix (see Definition 5) of the cycle.
  2. Let uσc be the second coordinate of a cycle’s σc-focus and f be its focal length. Then, the square of the cycle’s σc-radius is
          rσc2=−4fuσc.    
  3. Cycles (11) have zero σc-radius, thus Definitions 13 and 1 agree.

An intuitive notion of a distance in both mathematics and everyday life is usually of a variational nature. We naturally perceive a straight line as the route of the shortest distance between two points. Then, we can define the distance along a curved path through an approximation. This variational nature is also echoed in the following definition:

Definition 4 The (σ,σc)-distance dσ,σc(P,P′) between two points P and P is the extremum of σc-dia­me­ters for all σ-implementations of cycles passing P and P.

It is easy to see that the distance is a symmetric function of two points.

Lemma 5 The distance between two points P=uv and P′=u′+ι v in the elliptic or hyperbolic spaces is
dσ,σc2(P, P′) = 
 σc ((uu′)2−σ(v− v′)2) +4(1−σσc) vv
(u− u′)2 σc−(vv′)2
 ((uu′)2 −σ(v− v′)2), (2)
and, in parabolic space, it is (see Fig. 1.9(b) and also [339]*(5), p. 38)
dpc2(y, y′) = (uu′)2. (3)

Proof. Let Csσ(l) be the family of cycles passing through both points (u, v) and (u′, v′) (under the assumption vv′) and parametrised by its coefficient l, which is the first coordinate of the cycle’s centre. By a symbolic calculation in CAS, we found that the only critical point of det(Csσ(l)) is

l0 = 
1
2



(u′+u) + (σcσ−1)
(u′−u)(v2v2)
(u′− u)2 σc−(vv′)2



. (4)

Note that, for the case σσc=1, i.e. when both point and cycle spaces are simultaneously either elliptic or hyperbolic, this expression reduces to the expected midpoint l0=1/2(u+u′). Since, in the elliptic or hyperbolic case, the parameter l can take any real value, the extremum of det(Csσ(l)) is reached in l0 and is equal to (2), again calculated by CAS. A separate calculation for the case v= v′ gives the same answer.

In the parabolic case, possible values of l are either in the ranges (−∞, 1/2(u+u′)) or (1/2(u+u′),∞), or only l=1/2(u+u′) since, for that value, a parabola should flip between the upward and downward directions of its branches. In any of these cases, the extreme value corresponds to the boundary point l=1/2(u+u′) and is equal to (3).


To help understand the complicated identity (2), we may observe that

  de,e2(P, P′)=(uu′)2 + (v− v′)2,    for elliptic values  σ=σc=−1,
  dh,h2(P, P′)=(uu′)2 − (v− v′)2,    for hyperbolic values  σ=σc=1.

These are familiar expressions for distances in the elliptic and hyperbolic spaces. However, for other cases (such that σσc=−1 or 0) quite different results are obtained. For example, dσ,σc2(P, P′) does not tend to 0 if PP′ in the usual sense.

Exercise 6 Show that:
  1. In the three cases σ=σc=−1, 0 or 1, which were typically studied in the literature, the above distances are conveniently defined through the arithmetic of corresponding numbers:
    dσ,σ2(u+ι v)=(u+vι)(uvι)=ww.     (5)
  2. Unless σ=σc, the parabolic distance dpc (3) is not obtained from (2) by the substitution σ =0.
  3. If cycles Cσcs and S σcs are k-normalised, then
          ⟨ CσcsS σcs,CσcsS σcs  ⟩  =2det(CσcsS σcs) =−2dσcc2(P,P′),
    where P and P are e- or h-centres of Cσcs and S σcs. Therefore, we can rewrite the relation (8) for the cycle product
          ⟨ Cσcs,S σcs  ⟩ = dσcc2(P,P′)−rσc2rσc2, 
    using rσc and rσc—the σc-radii of the respective cycles. In particular, cf. (12),
          ⟨ Zσcs,Tσcs  ⟩ = dσcc2(P,P′), 
    for k-normalised σc-zero-radius cycles Zσcs and Tσcs with centres P and P. From Exercise 21 we can also derive that dσcc2(P,P′) is equal to the power of the point P (P) with respect to the cycle Tσcs (Zσcs).

Using the notation dσ ,σ 2(P)=dσ ,σ 2(0,P), we can now rewrite the identities (3)–(4) as:

     
  (uu′−σ vv′)2=cosσ2(P,P′)  dσ ,σ 2(P)  dσ ,σ 2(P′) ,         
(u  v′− vu′)2=sinσ2(P,P′)  dσ ,σ 2(P)  dσ ,σ 2(P′) .          

The distance allows us to expand the result for all EPH cases, which is well known in the cases of circles [71]*§ 2.1 and parabolas [339]*§ 10.

Exercise 7 Show that the power of a point W with respect to a cycle (see Definition 18) is the product dσ(W,Pdσ(W,P′) of (σ,σ)-distances (5), where P and P are any two points of the cycle which are collinear with W. Hint: Take P=(u,v) and P′=(u′,v′). Then, any collinear W is (tu+(1−t)u′,tv+(1−t)v′) for some t∈ℝ. Furthermore, a simple calculation shows that dσ(y,zdσ(z,y′)= t(t−1)dσ2(y,y′). The last expression is equal to the power of W with respect to the cycle—this step can be done by CAS.
Exercise 8 Let two cycles have e-centres P and P with σc-radii rσc and rσc. Then, the cc)-power of one cycle with respect to another from Definition 22 is, cf. the elliptic case in (13),
    
dσcc2(P,P′)−rσc2rσc′ 2
2rσc  rσc
. 

7.2 Lengths

During geometry classes, we often make measurements with a compass, which is based on the idea that a circle is a locus of points equidistant from its centre. We can expand it for all cycles with the following definition:

Definition 9 The (σ,σcr)-length from the σr-centre (from the σr-focus) of a directed interval AB is the σc-radius of the σ-cycle with its σr-centre (σr-focus) at the point A which passes through B. These lengths are denoted by lc(AB) and lf(AB), respectively.

It is easy to be confused by the triple of parameters σ, σc and σr in this definition. However, we will rarely operate in such a generality, and some special relations between the different sigmas will often be assumed. We also do not attach the triple (σ,σcr) to lc(AB) and lf(AB) in formulae, since their values will be clear from the surrounding text.

Exercise 10 Check the following properties of the lengths:
  1. The length is not a symmetric function of two points (unlike the distance).
  2. A cycle is uniquely defined by its elliptic or hyperbolic centre and a point which it passes. However, the parabolic centre is not as useful. Consequently, lengths from the parabolic centre are not properly defined, therefore we always assume σr=± 1 for lengths from a centre.
  3. A cycle is uniquely defined by any focus and a point which it passes.

We now turn to calculations of the lengths.

Lemma 11For two points P=uv, P′=u′+ι v′∈ℝσ:
  1. The σc-length from the σr-centre for σr=±1 between P and P is
    lcσc2(

    PP
     
    )   =   (uu′)2−σ v2+2σrvv′ −σcv2. (6)
  2. The σc-length from the σr-focus between P and P is
    lfσc2(

    PP
     
    )  = (σr−σc) p2−2vp, (7)
    where:
         
            p =
     σr

    −(v′−v
    σr(u′−u)2+(v′−v)2−σσr v2


    , if  σr≠0  
    (8)
            p =
    (u′−u)2−σ v2
    2(v′−v)
    ,  if  σr=0.
    (9)

Proof. Identity (6) is verified with CAS. For the second part, we observe that a cycle with the σr-focus (u,v) passing through (u′,v′)∈ℝσ has the parameters:

   k=1,  l= u,  n=p,   m = 2σrpv′−u2+2uu′+σ v2.

Then, the formula (7) is verified by the CAS calculation.


Exercise 12 Check that:
  1. The value of p in (8) is the focal length of either of the two cycles, which are, in the parabolic case, upward or downward parabolas (corresponding to the plus or minus signs) with focus at (u, v) and passing (u′, v′).
  2. In the case σσc=1, the length from the centre (6) becomes the standard elliptic or hyperbolic distance (uu′)2−σ (vv′)2 obtained in (2). Since these expressions appeared both as distances and lengths they are widely used.

    On the other hand, in the parabolic point space, we obtain three additional lengths besides distance (3):

          lcσc2(y, y′)    =  (uu′)2+2 vv′−σcv2

    parametrised by three values −1, 0 or −1 of σc (cf. Remark 1).

  3. The parabolic distance (3) can be expressed in terms of the focal length p (8) as
          d2(y, y′) = p2+2(vv′)p,
    an expression similar to (7).

7.3 Conformal Properties of Möbius Maps

All lengths l(AB) in ℝσ from Definition 9 are such that, for a fixed point A, every contour line l(AB)=c is a corresponding σ-cycle, which is a covariant object in the appropriate geometry. This is also true for distances if σ=σc. Thus, we can expect some covariant properties of distances and lengths.

Definition 13 We say that a distance or a length d is SL2(ℝ)-conformal if, for fixed y, y′∈ℝσ, the limit
 
lim
t→ 0
d(g· y, g·(y+ty′))
d(y, y+ty′)
,    where  gSL2(ℝ),  (10)
exists and its value depends only on y and g and is independent of y.

Informally rephrasing this definition, we can say that a distance or length is SL2(ℝ)-conformal if a Möbius map scales all small intervals originating at a point by the same factor. Also, since a scaling preserves the shape of cycles, we can restate the SL2(ℝ)-conformality once more in familiar terms: small cycles are mapped to small cycles. To complete the analogy with conformality in the complex plane we note that preservation of angles (at least orthogonality) by Möbius transformations is automatic.

Exercise 14 Show SL2(ℝ)-conformality in the following cases:
  1. The distance (2) is conformal if and only if the type of point and cycle spaces are the same, i.e. σσc=1. The parabolic distance (3) is conformal only in the parabolic point space.
  2. The lengths from centres (6) are conformal for any combination of values of σ, σc and σr.
  3. The lengths from foci (7) are conformal for σr≠ 0 and any combination of values of σ and σc.

The conformal property of the distance (2) and (3) from Proposition 1 is, of course, well known (see [65, 339]). However, the same property of non-symmetric lengths from Proposition 2 and 3 could hardly be expected. As a possible reason, one remarks that the smaller group SL2(ℝ) (in comparison to all linear-fractional transforms of the whole ℝ2) admits a larger number of conformal metrics, cf. Remark 3.

The exception of the case σr=0 from the conformality in 3 looks disappointing at first glance, especially in the light of the parabolic Cayley transform considered later in Section 10.3. However, a detailed study of algebraic structure invariant under parabolic rotations, see Chapter 11, will remove obscurity from this case. Indeed, our Definition 13 of conformality heavily depends on the underlying linear structure in ℝσ—we measure a distance between points y and y+ty′ and intuitively expect that it is always small for small t. As explained in Section 11.4, the standard linear structure is incompatible with the parabolic rotations and thus should be replaced by a more relevant one. More precisely, instead of limits y′→ y along the straight lines towards y, we need to consider limits along vertical lines, as illustrated in Fig. 10.1 and Definition 23.

We will return to the parabolic case of conformality in Proposition 24. An approach to the parabolic point space and a related conformality based on infinitesimal cycles will be considered in Section 7.6.

Remark 15 The expressions of lengths (6) and (7) are generally non-symmetric and this is a price one should pay for their non-triviality. All symmetric distances lead only to nine two-dimensional Cayley–Klein geometries, see [339]*App. B [284] [116] [130] [131]. In the parabolic case, a symmetric distance of a vector (u,v) is always a function of u alone, cf. Remark 21. For such a distance, a parabolic unit circle consists of two vertical lines (see dotted vertical lines in the second rows in Figs 6.3 and 6.5), which is not aesthetically attractive. On the other hand, the parabolic “unit cycles” defined by lengths (6) and (7) are parabolas, which makes the parabolic Cayley transform (see Section 10.3) very natural.

We can also consider a distance between points in the upper half-plane which has a stronger property than SL2(ℝ)-conformality. Namely, the metric shall be preserved by SL2(ℝ) action or, in other words, Möbius transformations are isometries for it. We will study such a metric in Chapter 9.

7.4 Perpendicularity and Orthogonality

In a Euclidean space, the shortest distance from a point to a straight line is provided by the corresponding perpendicular. Since we have already defined various distances and lengths, we may use them for a definition of the respective notions of perpendicularity1.

Definition 16 Let l be a length or a distance. We say that a vector AB is l-perpendicular to a vector CD if function l(AB+t CD) of a variable t has a local extremum at t=0, cf. Fig. 1.10. This is denoted by ABl CD or, simply, ABCD if the meaning of l is clear from the context.
Exercise 17 Check that:
  1. l-perpendicularity is not a symmetric notion (i.e. ABCD does not imply CDAB), similar to f-orthogonality—see Section 6.6.
  2. l-perpendicularity is linear in CD, i.e. ABCD implies ABrCD for any real non-zero r. However, l-perpendicularity is not generally linear in AB, i.e. ABCD does not necessarily imply rABCD.

There is a connection between l-perpendicularity and f-orthogonality.

Lemma 18 Let AB be lc-perpendicular (lf-perpendicular) to a vector CD for a length from the centre (from the focus) defined by the triple (σ,σcr). Then, the flat cycle (straight line) AB is σr-(f-)orthogonal to the σ-cycle Cσs with σr-centre ((−σr)-focus) at A passing through B. The vector CD is tangent at B to the σ -implementation of Cσs.

Proof. Consider the cycle Cσs with its σr-centre at A and passing B in its σ-implementation. This cycle Cσs is a contour line for a function l(X)=lc(AX) with the triple (σ,σcr). Therefore, the cycle separates regions where l(X)< lc(AB) and l(X)> lc(AB). The tangent line to Cσs at B (or, at least, its portion in the vicinity of B) belongs to one of these two regions, thus l(X) has a local extremum at B. Therefore, AB is lc-perpendicular to the tangent line. The line AB is also σr-orthogonal to the cycle Cσcs since it passes its σr-centre A, cf. Exercise 4.

The second case of lf(AB) and f-orthogonality can be considered similarly with the obvious change of centre to focus, cf. Proposition 2.


Obviously, perpendicularity turns out to be familiar in the elliptic case, cf. Lemma 1 below. For the two other cases, the description is given as follows:

Exercise 19 Let A=(u,v) and B=(u′,v′). Then
  1. d-perpendicular (in the sense of (2)) to AB in the elliptic or hyperbolic cases is a multiple of the vector
          


            σ (vv′)3−(uu′)2 (v+v′(1−2 σ σc))
            σc(uu′)3−(uu′)(v− v′)(−2 v′ +(v+v′) σc σ)


    ,
    which, for σσc=1, reduces to the expected value (vv′, σ(uu′)).
  2. d-perpendicular (in the sense of (3)) to AB in the parabolic case is (0, t), t∈ℝ which coincides with the Galilean orthogonality defined in [339]*§ 3.
  3. lcσc-perpendicular (in the sense of (6)) to AB is a multiple of v′−σr v, uu′).
  4. lfσc-perpendicular (in the sense of (7)) to AB is a multiple of v′+p, uu′), where p is defined either by (8) or (9) for corresponding values of σr.
Hint: Contour lines for all distances and lengths are cycles. Use implicit derivation of (1) to determine the tangent vector to a cycle at a point. Then apply the formula to a cycle which passes (u′,v′) and is a contour line for a distance or length from (u,v).

It is worth having an idea about different types of perpendicularity in terms of the standard Euclidean geometry. Here are some examples.

Exercise 20 Let AB=uv and CD=u′+ι v. Then:
  1. In the elliptic case, d-perpendicularity for σc=−1 means that AB and CD form a right angle, or, analytically, u u′+v v′=0.
  2. In the parabolic case, lfσc-perpendicularity for σc=1 means that AB bisects the angle between CD and the vertical direction, or, analytically,
    uuvp=uuv′(
    u2+v2
    v)=0, (11)
    where p is the focal length (8).
  3. In the hyperbolic case, d-perpendicularity for σc=−1 means that the angles between AB and CD are bisected by lines parallel to uv, or, analytically, uuvv=0. Compare with Exercise 3(A).
Remark 21 If one attempts to devise a parabolic length as a limit or an intermediate case for the elliptic le=u2+v2 and hyperbolic lp=u2v2 lengths, then the only possible guess is lp=u2 (3), which is too trivial for an interesting geometry.

Similarly, the only orthogonality condition linking the elliptic u1 u2+v1 v2=0 and the hyperbolic u1 u2v1 v2=0 cases from the above exercise seems to be u1 u2=0 (see [339]*§ 3 and 2), which is again too trivial. This supports Remark 2.

7.5 Infinitesimal-radius Cycles

Although parabolic zero-radius cycles defined in 13 do not satisfy our expectations for “smallness”, they are often technically suitable for the same purposes as elliptic and hyperbolic ones. However, we may want to find something which fits our intuition about “zero-sized” objects better. Here, we present an approach based on non-Archimedean (non-standard) analysis—see, for example, [73, 328] for a detailed exposition.

Following Archimedes, a (positive) infinitesimal number x satisfies

0 < nx <1,     for any    n∈ℕ. (12)

Apart from this inequality infinitesimals obey all other properties of real numbers. In particular, in our CAS computations, an infinitesimal will be represented by a positive real symbol and we replace some of its powers by zero if their order of infinitesimality will admit this. The existence of infinitesimals in the standard real analysis is explicitly excluded by the Archimedean axiom, therefore the theory operating with infinitesimals is known as non-standard or non-Archimedean analysis. We assume from now on that there exists an infinitesimal number є.

Definition 22 A cycle Cσcs, such that detCσcs is an infinitesimal number, is called an infinitesimal radius cycle.
Exercise 23 Let σc and σr be two metric signs and let a point (u0,v0)∈ℝp with v0>0. Consider a cycle Cσcs defined by
Cσcs=(1,  u0,  n,  u02 −σrn22), (13)
where
n=







            
v0
v02−(σr−σc2
σr−σc
,
if  σr≠ σc,
        
є2
2v0
,
if  σrc.
(14)
Then,
  1. The point (u0, v0) is σr-focus of the cycle.
  2. The square of the σc-radius is exactly −є2, i.e. (13) defines an infinitesimal-radius cycle.
  3. The focal length of the cycle is an infinitesimal number of order є2.

Hint: Combining two quadratic equations (one defines the squared σc-radius, another—v-coordinate of the focus), we found that n satisfies the equation:

    (σr−σc)n2−2v0n2=0.

Moreover, only the root from (14) of the quadratic case σr−σc≠ 0 gives an infinitesimal focal length. Then, we can find the m component of the cycle. The answer is also supported by CAS calculations. ⋄

The graph of cycle (13) in the parabolic space drawn at the scale of real numbers looks like a vertical ray starting at its focus, see Fig. 7.1(a), due to the following result.

Exercise 24 The infinitesimal cycle (13) consists of points which are infinitesimally close (in the sense of length from focus (7)) to its focus F=(u0, v0):
(u0+є u, v0+v0u2+((σc−σr) u2−σr)
є2
4v0
+O3)). (15)

Note that points below F (in the ordinary scale) are not infinitesimally close to F in the sense of length (7), but are in the sense of distance (3). Thus, having the set of points on the infinitesimal distance from an unknown point F we are not able to identify F. However, this is possible from the set of points on the infinitesimal length from F. Figure 7.1(a) shows elliptic, hyperbolic concentric and parabolic confocal cycles of decreasing radii which shrink to the corresponding infinitesimal-radius cycles.


 (a)  (b)
Figure 7.1: Zero-radius cycles and the “phase” transition. (a) Zero-radius cycles in elliptic (black point) and hyperbolic (the red light cone) cases. The infinitesimal-radius parabolic cycle is the blue vertical ray starting at the focus. (b) Elliptic-parabolic-hyperbolic phase transition between fixed points of a subgroup. Two fixed points of an elliptic subgroup collide to a parabolic double point on the boundary and then decouple into two hyperbolic fixed points on the unit disk.

It is easy to see that infinitesimal-radius cycles have properties similar to zero-radius ones, cf. Lemma 20.

Exercise 25 The image of SL2(ℝ)-action on an infinitesimal-radius cycle (13) by conjugation (7) is an infinitesimal-radius cycle of the same order. The image of an infinitesimal cycle under cycle conjugation is an infinitesimal cycle of the same or lesser order.

Consideration of infinitesimal numbers in the elliptic and hyperbolic cases should not bring any advantages since the (leading) quadratic terms in these cases are non-zero. However, non-Archimedean numbers in the parabolic case provide a more intuitive and efficient presentation. For example, zero-radius cycles are not helpful for the parabolic Cayley transform (see Section 10.3), but infinitesimal cycles are their successful replacements. Another illustration is the second part of the following result as a useful substitution for Exercise 4.

Exercise 26 Let Cσcs be the infinitesimal cycle (13) and G σcs=(k,l,n,m) be a generic cycle. Then:
  1. Both the orthogonality condition CσcsG σcs (1) and the f-or­tho­go­na­li­ty G σcsCσcs (15) are given by
          ku02−2lu0+m=O(є).
    In other words, the cycle G σcs has the real root u0.
  2. The f-orthogonality (15) CσcsG σcs is given by
    ku02−2lu0−2nv0+m=O(є). (16)
    In other words, the cycle G σcs passes the focus (u0,v0) of the infinitesimal cycle in the p-implementation.

It is interesting to note that the exotic f-orthogonality became a matching replacement for the usual one for infinitesimal cycles. Unfortunately, f-orthogonality is more fragile. For example, it is not invariant under a generic cycle conjugation (Exercise 38) and, consequently, we cannot use an infinitesimal-radius cycle to define a new parabolic inversion besides those shown in Fig. 6.4(c).

7.6 Infinitesimal Conformality

An intuitive idea of conformal maps, which is often provided in complex analysis textbooks for illustration purposes, is that they “send small circles into small circles with respective centres”. Using infinitesimal cycles, one can turn it into a precise definition.

Definition 27 A map of a region of σ to another region is l-infinitesimally conformal for a length l (in the sense of Definition 9) if, for any l-infinitesimal cycle,
  1. its image is an l-infinitesimal cycle of the same order and
  2. the image of its centre or focus is displaced from the centre or focus of its image by an infinitesimal number of a greater order than its radius.
Remark 28 Note that, in comparison with Definition 13, we now work “in the opposite direction”. Formerly, we had the fixed group of motions and looked for corresponding conformal lengths and distances. Now, we take a distance or length (encoded in the infinitesimally-equidistant cycle) and check which motions respect it.

Natural conformalities for lengths from the centre in the elliptic and parabolic cases are already well studied. Thus, we are mostly interested here in conformality in the parabolic case, where lengths from the focus are more relevant. The image of an infinitesimal cycle (13) under SL2(ℝ)-action is a cycle. Moreover, it is again an infinitesimal cycle of the same order by Exercise 25. This provides the first condition of Definition 27. The second part fulfils as well.

Exercise 29 Let G σcs be the image under gSL2(ℝ) of an infinitesimal cycle Cσcs from (13). Then, the σr-focus of G σcs is displaced from g(u0,v0) by infinitesimals of order є2, while both cycles have σc-radius of order є.

Consequently, SL2(ℝ)-action is infinitesimally-conformal in the sense of Definition 27 with respect to the length from the focus (Definition 9) for all combinations of σ, σc and σr.

Infinitesimal conformality seems to be intuitively close to Definition 13. Thus, it is desirable to understand a reason for the absence of exclusion clauses in Exercise 29 in comparison with Exercise 3.

Exercise 30Show that, for lengths from foci (7) and σr= 0, the limit (10) at point y0=u0v0 does exist but depends on the direction y=uv:
 
lim
t→ 0
d(g· y0, g·(y0+ty))
d(y0, y0+ty)
=
1
(d+cu0)2+σ c2v02 −2 Kcv0(d+cu0)
, (17)
where K=u/v and g= (
    ab
cd
). Thus, the length is not conformal.

However, if we consider points (15) of the infinitesimal cycle, then Ku/v0 u2= є/v0 u. Thus, the value of the limit (17) at the infinitesimal scale is independent of y=uv. It also coincides (up to an infinitesimal number) with the value in (27), which is defined through a different conformal condition.

Infinitesimal cycles are also a convenient tool for calculations of invariant measures, Jacobians, etc.

Remark 31 There are further connections between the infinitesimal number є and the dual unit ε. Indeed, in non-standard analysis, є2 is a higher-order infinitesimal than є and can effectively be treated as 0 at the infinitesimal scale of є. Thus, it is simply a more relaxed version of the defining property of the dual unit ε2=0. This explains why many results of differential calculus can be deduced naturally within a dual numbers framework [58], which naturally absorbs many proofs from non-standard analysis.

Using this analogy between є and ε, we can think about the parabolic point space p as a model for a subset of hyperreal numbers* having the representation xy, with x and y being real. Then, a vertical line in p (a special line, in Yaglom’s terms [339]) represents a monad, that is, the equivalence class of hyperreals, which are different by an infinitesimal number. Then, a Möbius transformation of p is an analytic extension of the Möbius map from the real line to the subset of hyperreals.

The graph of a parabola is a section, that is, a “smooth” choice of a hyperreal representative from each monad. Geometric properties of parabolas studied in this work correspond to results about such choices of representatives and their invariants under Möbius transformations. It will be interesting to push this analogy further and look for a flow of ideas in the opposite direction: from non-standard analysis to parabolic geometry.


1
This concept is also known as Birkhoff orthogonality [39].
site search by freefind advanced

Last modified: October 28, 2024.
Previous Up Next