1. Introduction
The study of curves and their geometric properties is one of the oldest topics in mathematics. There are many interesting curves on a plane or sphere that are defined kinematically or geometrically and can be studied using the methods of calculus, differential equations, and differential geometry. For example, on a plane, one can mention tractrix, pursuit curve, lemniscate, brachistochrone, cycloid, conchoid of Nicomedes, limaçon of Pascal, etc., and on sphere great circle, spherical spiral, which is a special case of loxodrome also known as rhumb line, etc. [
1]. The study of curves played a crucial role in the development of mathematics and its applications. Various attempts to describe the curves led to the discovery of different coordinate systems, such as cartesian, polar, barycentric, etc. The study of geometric properties such as lengths, areas, angles, intersections, etc., led to the development of branches of mathematics such as analytic geometry, calculus, differential geometry, differential equations, topology, etc. In antiquity, the curves were used for the solution of construction problems such as trisection of an angle, squaring the circle, and doubling the cube. In the middle ages and renaissance, curves were used for the solution of various algebraic and geometric problems, for the description of trajectories of projectiles and planets, etc. See [
2,
3,
4] for the history of curves. In modern times, many problems of science, technology, engineering, art, and mathematics require the study of various curves on different spaces and their geometric properties. Applications of curves include, but are not bound to, aeronautics, architecture, design, sea and air navigation, music, etc. With the dawn of computer graphics, it became easy to create and represent curves and use them in many aspects of life.
In
Section 2 of the current paper, the curve, which is named the
interception curve, was studied. This curve can be obtained if one point moves uniformly along a straight line, and another point, initially one unit apart from both the line and the first point on this line, moves with the same speed so that it always stays on the line passing through the first point and the initial position of the second point. This plane curve appears in problems related to the interception of high-speed targets by beam rider missiles (hence the name
interception curve) [
5,
6]. The curve was also studied in [
7,
8,
9]. In [
10], in Section 1.460 (polar coordinates) and Section 1.507 (cartesian coordinates), some methods were proposed to determine a formula for this curve. In both cases, the obtained results were probably complicated enough to discourage further study of this curve. In the present paper, the equation in cartesian coordinates was used to prove some geometric properties of the curve. The cartesian equation was studied further to find a simple parametrization among other possible parametrizations. This parametrization helped us to prove some more geometric characteristics, which show its connections with Lemniscate constants and Gauss’s constant [
11,
12]. The use of mathematical software to perform experiments and computations and to draw accurate and colorful graphs was very important for the results of the current paper. For example, the connection between the limit of
below and the lemniscate constants was suggested by Wolfram Alpha. Most of the graphs and pictures in the current paper were created using the website
https://www.geogebra.org/ (accessed on 17 February 2023).
Some of the curves appear naturally in pursuit-evasion problems. The interception curve can also be studied in this context. The comparison of the well-known pursuit curve with the interception curve is performed at the end of
Section 2.
In
Section 3, a similar question for a sphere was asked. In the case of the sphere, it was shown that the curve defined by the Gudermannian function has similar geometric properties, and these properties are proved first directly using analytic methods. At the end of
Section 3, the connection of these characteristics with Mercator and stereographic projections was discussed. These conformal projections also revealed the symmetry of this curve in connection with spherical and logarithmic spirals.
In
Section 4, it was shown how to use a lemma from spherical geometry to prove the mentioned geometric properties of the spherical curve indirectly. The planar case also accepts simple geometric methods, and these were mentioned at the end of
Section 4. There is a remarkable symmetry/asymmetry between the planar and spherical cases (see
Appendix A,
Table A1), and going back and forth between these two cases was very helpful in writing more of these geometric characteristics.
2. Planar Curve
Let us start with discussing the following question and setting the notation that is used throughout the paper.
Question 1. Suppose that two points, and Q, initially at and , respectively, move with constant and equal velocities so that Q is on the line and P is on the ray . What curve is defined by point P?
Similar questions were discussed in [
7,
9]. Polar coordinates can be used to describe the resulting curve. Let us denote
and
.
Since the speeds of points
P and
Q are equal, the length of curve
and the length of line segment
, which is
, are equal for each
. By using the well-known formula for the length of a curve
given in polar coordinates, we find that
By taking the derivative of both sides of Equation (
1) and simplifying, we obtain an ODE,
with initial condition
. This nonlinear equation appears in problems related to the interception of high-speed targets by beam rider missiles [
5]. Therefore, in this paper, the curve defined by Equation (
2) is called the
interception curve. See [
13] for a similar problem with
.
One can find approximate solutions of Equation (
2) using power series. If we substitute
in Equation (
2), we find that
. By taking the derivative of Equation (
2) and substituting
, we can find
. By continuing this process, we can find
, etc. Therefore, the two solutions are
and
. Maple 2022 software was used to calculate these four nonzero terms of the series, which were then used in GeoGebra to draw
Figure 1.
Equation (
2) can be solved by quadratures [
8] (see also [
13]). For example, one can follow the steps given in [
10] to find
.
Use substitution
to obtain
. By differentiating and excluding
r and
, we obtain
([
10], Section 1.460);
Use substitutions
,
to obtain Abel’s equation
([
10], Section 1.81);
Use substitution
to obtain one more Abel’s equation
([
10], Section 1.151);
Use substitution
to obtain
([
10], Section 1.185);
Use substitution
to obtain linear equation
, which can be solved by quadratures ([
10], Section 1.185).
As one can understand from these steps, the final result will not be a simple expression. In particular, by using substitution
, the solution of the linear differential equation in the last step can be reduced to the integral
, where
is the elliptic integral of the first kind with parameter
(cf. [
6]).
Note also that and do not intersect for , because otherwise, if the points P and Q coincided, the length of the curve would be equal to , which is impossible.
Answer to Question 1. Now, let us try using cartesian coordinates to find the solution of Equation (
2) as a parametric curve. First, note that in the cartesian coordinates, Equation (
1) can be written as
By taking the derivative of both sides of Equation (
3) and simplifying, we obtain
which in particular agrees with
. A parametrization of the solution can be written by solving Equation (
4) for
y to obtain
, where
. By noting that
and
, a linear differential equation
is obtained. By solving this equation, we obtain the parametrization (cf. [
10], Section 1.507, where the roles of
x and
y are interchanged):
Of course, there are also other possible parametrizations of this curve (see
Appendix B). This curve also has some interesting geometric properties. Some of these properties (Theorems 1 and 2) can be taken as its definition.
Theorem 1. Suppose that the tangent line of the curve Equation (4) at the point P intersects x-axis, y-axis, and the line at points F, U, and T, respectively (see Figure 1). Then, - 1
,
- 2
,
- 3
,
- 4
,
where x is the abscissa of point .
Proof. The equation of line
is
. By substituting
in this equation, we can find the coordinates of point
. The equation of tangent line
is
. By substituting
,
, and
in this equation, we can find the coordinates of points
F,
U, and
T, respectively:
It remains only to put these formulas in the required equalities to check that each of the first three equalities is equivalent to Equation (
4). The fourth part follows from the previous equalities and the sine theorem for
. □
It is also possible to prove these geometric properties using plane geometry methods, which we discuss in
Section 4. Using these plane geometry methods, one can also prove the following geometric property.
Theorem 2. The radius of the circle through O and tangent to line at point P is equal to the radius of the circle through O and tangent to line at point Q (see Figure 1). Proof. The center of the circle through
O and tangent to line
at point
P is the intersection of perpendicular bisector
of line segment
and line
perpendicular to line
at point
P. We find that
and
. Therefore, the radius of this circle is
Similarly, the center of the circle through
O and tangent to the line
at point
Q is the intersection of perpendicular bisector
of line segment
, and line
perpendicular to the line
at point
Q. Using this, we find that the radius of this circle is
. It remains only to check that by Equation (
4), these radii are equal. □
The following result shows that there is a connection between the interception curve and the lemniscate functions.
Theorem 3. The length of side and the difference of lengths of the other two sides of approach the same limit as :where B is the second lemniscate constant. Proof. First, we calculate that
. Since
as
,
. On the other hand, using parametrization Equation (
5), we can write
The subtrahend
in the last expression approches 0 as
. Therefore, it remains only to find
Since
,
By substituting
, where
, in the improper integral, after simplifications we obtain
We only need to show that
which follows from
□
Note that
, where
G is Gauss’s constant defined by the arithmetic–geometric mean [
11,
12,
14,
15].
There are other strategies for making point P follow point Q so that is smaller. However, it is possible to show that there is no optimal strategy. Consider, for example, the following scenario. Suppose that there is a barrier along line and an evader is at point . A pursuer at the origin starts to chase with a constant speed, and the evader moves with the same speed along line . It would be natural to think that the pursuer should always move toward the current position of the evader. This gives rise to a trajectory for the pursuer, commonly known as pursuit curve. However, the pursuer can also move towards a future position of the evader instead of the evader’s current position. One of the many possible ways for the pursuer to do this is to stay on the line connecting the origin with the evader. The optimal strategy for the evader is to run along barrier by never changing its direction. However, there is no optimal trajectory for the pursuer, so any candidate for the optimal curve can be improved by replacing one of its curved parts with a line segment and, therefore, shortening that part. Because of the presence of barrier , the curved part should always exist. Note that any straight line through the origin intersects , except line , which obviously can not be the optimal curve. One can pose a similar question for a sphere, where the barrier and the evader are on the great circle of the sphere, and the pursuer is at one of the poles of the great circle. This is performed in the following section.
Consider also this trajectory: first,
P moves with a constant speed from
O to the point with coordinates
along line
where
,
, while
Q moves with the same speed from
A to the point with coordinates
, after which
P follows
Q along line
and distance
does not change. The value of
can be made arbitrarily close to zero. On the other hand, for any chosen curve,
is not possible. Indeed,
, where
is the projection of
onto the
y-axis, and
is a non-decreasing function of time (or
x). Therefore, for any given curve with a particular positive value of
, there is always a more efficient curve making the limit even smaller. In view of these observations, it would be interesting to compare the curve in
Figure 1 with the mentioned trajectory of
P chasing
Q, the pursuit curve.
Figure 2 was created using Maple 2022. The Maple 2022 software was also used to simplify the limits and the integrals in the paper.
Suppose now that
P starts to move from
O with a constant speed along such a curve that the tangent line of the curve at
P always passes through
Q, which moves as before with the same constant speed from
A upwards along line
. The obtained curve is known as the
pursuit curve and defined by differential equation
with initial conditions
. See, for example, [
16] (page 256), [
3,
4] (page 241 of the 1911 edition, page 607 of the 1902 edition) for the solution found by P. Bouguer in 1732:
One can check that for this curve, , and therefore , which means that the interception curve overperforms the pursuit curve in this regard.
3. Spherical Curve
We now study analogous questions for spherical geometry.
Question 2. Suppose that two points
P and
Q, initially at
and
, respectively, move with constant and equal velocity so that
Q is on the great circle
,
of sphere
with center
, and
P is on the great circle through
B and
Q of the sphere. What curve is defined by point
P? (see
Figure 3).
Answer. We use spherical coordinates to describe the resulting
interception curve. We denote
and
. Since
, for the coordinates of point
, we can write
,
, and
, where we assume that
is a function of
. Therefore,
,
, and
. Since the points
P and
Q travel equal distances, by using the well-known formula from vector calculus for the length of a parametrically defined curve, we can write
where
on the right-hand side of the last equality is the distance traveled by
Q. By taking the derivative of both sides of Equation (
6) with respect to
and simplifying using the formula for
,
, and
, we obtain
with initial condition
. By solving this ODE, we obtain
Note that Equation (
7), which can also be written as
, is sometimes called the Gudermannian function gd
. See, for example, [
17], Section 4.23(viii) and [
18], Section 6.12. The Gudermannian function gd
is the vertical component of the Mercator projection [
19], and we see below that this connection with the Mercator projection is not a coincidence.
Theorem 4. The points P and Q are approaching each other and
Proof. One can observe that
and therefore the distance between the points
and
approaches zero as the curve winds around the sphere. □
This curve has other geometric properties. In the following, means the spherical distance between points X and Y on a sphere. For a unit sphere with center O, .
Theorem 5. If a great circle tangent to the curve at point P of unit sphere intersects the great circle on the plane at point T (see Figure 3), then - 1
the sum of the lengths of the arcs and is not dependent on θ, and ,
- 2
as θ increases, increases, decreases, and both approach to , as .
- 3
spherical angle is equal to ,
- 4
spherical angle is equal to .
Proof. We continue to use the notations introduced in Question 2 and its answer. Since
, we can write the following for tangent vector
of curve: Equation (
7)
We can find the normal vector of the plane containing the great circle through
P and
T, as
, where
:
Then, the equation of this plane is
By putting
in this equation, we can find the only unknown coordinate
of point
in spherical coordinates:
By Equation (
7),
. Therefore,
which means that
and consequently
. Using Spherical Pythagorean Theorem ([
20], page 112) for
, we obtain
Therefore,
, and, consequently,
. Since
, this proves that
. Using formula
and
, we can now show that as
increases,
increases, but
decreases, and both approach
. Using the formula for a right angled spherical triange ([
20], page 127, 4.35), we obtain
Therefore, . Similarly, . □
Using similar analytic methods, one can prove the following property of curve Equation (
7) for tangent small circles. It is also possible to prove this theorem using Lemma 2.
Theorem 6. The spherical radius R of a small circle of the unit sphere, which passes through point B and is tangent to curve Equation (7) at point P (see Figure 3), satisfies . We now discuss the mentioned connection with the Mercator projection. Let us perform a projection of the sphere onto cylinder
using formula
and
(see [
21], p. 191). Note that here,
x and
y are new coordinates over the cylinder [
19]. Note also the difference between the spherical coordinate
and latitude
. Using Equation (
7) and the last two equalities, we can write
Since
on the cylinder, we determine that the Mercator projection of curve Equation (
7) is
, which is an inverse function of itself. This means that after the application of the Mercator projection, curve Equation (
7) has a symmetry with respect to line
(see
Figure 4). Note that
is a Helix on the cylinder, and it is the projection of a Spherical Spiral (a special case of loxodrom or rhumb line [
1]) intersecting the meridians
of the sphere at a constant angle
. Since the Mercator projection is conformal (angle-preserving), the slope
on the cylinder and
on the sphere should be equal. Indeed, by Theorem 5,
Note that in the literature, the expression
spherical spiral is sometimes used for different curves. In
Figure 4, we used parametrization
for this curve (red curve) ([
22], Lemma 8.27), the parametrization
for
(orange curve), which is the Mercator projection of the previous curve onto the cylinder, parametrization
for
(green curve), which is the Mercator projection of interception curve Equation (
7) (blue curve). Note also that in
Figure 4, the stereographic projection of Equation (
7) onto the
plane, with respect to pole
B, is a plane spiral curve (black curve), which in polar coordinates can be written as
. Indeed, by Equation (
7),
Line
(yellow line) on the
plane is the asymptote of this curve. It is known that the stereographic projection of the rhumb line is a logarithmic spiral
(purple curve) ([
22], Lemma 8.27). In particular, since curves
and
intersect at a right angle, and stereographic and Mercator projections are both conformal, the curves on the sphere, on the cylinder, and the plane in
Figure 4 intersect at right angles at the indicated points. See
Appendix A,
Table A2 for the list of corresponding curves in
Figure 4.