1. Introduction
Pythagoras’s theorem and trigonometric functions are widely used to solve right triangles. In contrast, the analysis of oblique triangles relies on alternative methodologies, such as the law of sines and the law of cosines. However, some approaches remain underutilized in education; for example, Mollweide’s formulas define the relationships among a triangle’s sides and angles [
1]. Indeed, the tangent law can be used for the study of oblique triangles and is derived from Mollweide’s formulas. In teaching the analysis of oblique triangles, sum and difference trigonometric identities and Euler’s formulas are used [
1,
2]. However, the study of hyperbolic functions has been limited in the context of these triangles, with the focus primarily on their relationship with trigonometric functions.
Trigonometric functions are fundamental for the calculation of hyperbolic functions due to their Eulerian properties, which are related through complex numbers. In fact, the identities that relate these functions are derived using Euler’s number [
3]. Other, less commonly explored studies have linked trigonometric functions with hyperbolic functions due to their geometric properties [
4,
5]. Thus, the Gudermann function is derived, which relates these trigonometric and hyperbolic functions without resorting to complex numbers. One application of the Gudermann function is the Mercator map projection, which involves mapping the Earth’s surface by projecting the spherical surface of the Earth onto a cylindrical surface, preserving the true length of the parallels while distorting the equatorial lines in the projection [
5,
6]. Traditionally, the solution of triangles is approached through trigonometry, overlooking the analysis of triangles with hyperbolic functions in educational contexts [
1].
This manuscript is aimed at both mathematics education and research, as it integrates mathematical formulations derived from physical phenomena with practical applications in engineering. By linking traditional trigonometric concepts with innovative methods based on hyperbolic functions, it provides a powerful didactic tool and opens a new field of study that encourages future research, enriching both areas. The research proposes an original methodology that extracts a specific physical phenomenon, cable engineering, to establish a precise relationship between trigonometric and hyperbolic functions [
7,
8,
9,
10]. This approach not only provides a robust mathematical framework for solving triangles in engineering problems but also facilitates the coherent integration of theory and practice. The results obtained have the potential to enrich mathematics education and drive research exploring the applications of hyperbolic functions derived from physical phenomena in undergraduate mathematics and engineering programs.
The solution of triangles has traditionally been approached through trigonometry, a fundamental discipline in teaching mathematics at the high school and university levels. The handling of triangles relies on the use of trigonometric functions, equations, and identities that facilitate the resolution of angles and the application of classical theorems, such as Pythagoras’s theorem, which are foundational for calculus in engineering due to the geometric properties inherent in these figures [
9]. However, in the context of engineering, particularly in the statics of cables, physical phenomena emerge where trigonometry is closely related to hyperbolic functions, enabling the approach of complex problems from an innovative perspective [
7,
10].
This article shows the deduction of the hyperbolic transformation applied to right triangles. The theorem is an alternative method for solving engineering problems and can be easily used in industrial applications and in teaching calculations, for example, to determine distances, in problems of stability of rigid bodies, and in electricity [
2,
7]. Other alternatives for the use of the proposed transformation are applied to Mollweide’s formulas. In the literature, its use is reported for the training of high school and preuniversity students. This is an alternative teaching method for the law of sines and cosines, used in the solution of oblique triangles [
1]. The contributions of the transformation of trigonometric functions to hyperbolic functions are as follows:
The establishment of right triangle formulas that relate hyperbolic functions to the sides of a right triangle with hyperbolic functions.
The right triangle function with a hyperbolic angle that relates the three sides of a right triangle, the hyperbolic angle, and Euler’s number, without the need for hyperbolic functions, trigonometric functions, or imaginary numbers.
The application of the law of hyperbolic cosines and hyperbolic tangents in the solution of engineering problems.
The use of the hyperbolic Mollweide’s formulas for the solution of oblique triangles.
The article has been structured as follows: In the first part, the background that has been carried out will be outlined. In the second part, the deduction of the transformation of trigonometric functions into hyperbolic functions will be introduced. The third part will cover the applications, followed by a discussion of the results, and the article will summarize with the conclusions.
2. Background
The Background Section provides a general literature review to demonstrate the novelty of the proposed approach. Various mathematical tools have been developed since the 17th century with great discoveries and scientific contributions. Scientists and mathematicians observed that certain combinations of exponential functions were frequently presented in applications such as the decay of entities such as light, electricity, speed, radioactivity, the fall of a body through a viscous medium [
8], the diffusion of a gas in a porous medium, the transmission of heat [
3], geodesic triangles [
11] and so on. At the beginning of the 18th century, in an attempt to broaden the concept of imaginary and complex, the functions sin
and cos
were defined by complex exponential addition and subtraction, and Euler obtained the following expressions for cos
and sin
as shown in [
2,
12]:
The success and recognition obtained by Euler for rediscovering the Cotes formula is not entirely undeserved [
2]. These combinations of addition and subtraction of exponentials can be deduced from a hyperbole [
7,
8]; this is how real numbers are related to imaginary and complex numbers. These identities, shown in Equation (
2) as (hyperbolic sine of an angle) sinh
and (hyperbolic cosine of an angle) cosh
[
3,
11,
12], have been related in an analogous way to the trigonometric functions for a hyperbolic angle
x with identities such as (hyperbolic sine) sinh
x, (hyperbolic cosine) cosh
x, (hyperbolic tangent) tanh
x, (hyperbolic cosecant) csch
x, (hyperbolic secant) sech
x, and (hyperbolic cotangent) coth
x [
3,
11,
13,
14,
15,
16]. Equation (
2) establishes a relationship with Equation (
1) using hyperbolic functions. Thus, the similarity between trigonometric and hyperbolic functions is proven [
11,
15,
17,
18,
19], as shown below:
Hyperbolic functions have their name because the geometry with which they are built is defined on a hyperbole with trigonometric functions, also called circular functions, where their geometry is described with the shape of a circle [
14,
15]. Hyperbolic functions describe one side of the hyperbola; they are also called aperiodic functions, and the angle of the hyperbola can vary from 0 to
∞ [
14].
Hyperbolic functions can be derived because they are related to curve geometries such as hyperbolas, ellipses, and catenaries and are frequently used to describe real-life applications based on engineering concepts. There are several identities for relating hyperbolic functions; one of the most fundamental is shown in [
11,
13,
14,
15,
17]:
Since hyperbolic functions are derived from the sum of exponentials, their inverse functions can be formulated using logarithmic functions, as shown in Equations (4) and (5) [
11,
13,
17,
18,
19]. In these equations, the intervals indicate the domain of the inverse functions, i.e., the set of x values for which the function is defined, not the codomain. Specifically, Equation (
4) applies for all
x, and Equation (
5) applies for
x [
11,
13,
17,
18,
19], as illustrated bellow:
and
Derivatives and integrals can be calculated by writing the hyperbolic functions in terms of exponential functions. The derivatives and integrals generally yield another hyperbolic function, as presented in Equations (6) and (7) [
13,
14,
16].
Hyperbolic functions have inspired scientists, including engineers, architects, astronomers, and so on, such as the construction of the Shukhov Tower (1920–1922) [
20], mirror construction, planetary motion [
21], the trajectory of an electron in an electric field, modelling the behaviour of gases [
22], in the Loran long-range navigation system [
23], and so on. There are many applications and fields of action of hyperbolic functions, so a strict classification is laborious. According to the uses found in the literature, four state-of-the-art classifications are proposed: (1) the Guderman function, (2) the theory of parallels, (3) catenaries, and (4) heat transmission.
2.1. Gudermann Function
Hyperbolic functions have been used in different applications, where the Gudermann function is used as a solution for the inverted pendulum. Christoph Gudermann (1798–1852) was one of the first to relate hyperbolic functions to trigonometric functions without using complex numbers [
5,
6]. He used hyperbolic series to expand elliptic functions [
5]. Another of the applications used is the normal and transverse Mercator projection used in cartography for the creation of maps [
3], which is based on the latitude distance from north to south and the arc length. Equations (8)–(10) express the Gudermann function [
3,
4], as presented in:
and
Equation (
11) shows the relationship that has been called the Gudermann function [
5], and the Anti-Gudermann function is given by:
The derivatives of the Gudermann function and the Anti-Gudermann function are defined in Equations (12) and (13), as an expansion of the series [
5]:
and
Therefore, the Gudermann function establishes a relationship between hyperbolic angles and trigonometric angles without the need for complex numbers. However, the applications of this function are not broad enough to fully explain angles and triangles in trigonometry. On the other hand, the Mercator projection, widely used and accepted in navigation, has not transcended the field of engineering due to its affinity and proximity to the transformation that is intended to be performed. Although this projection is presented in the article, the same approach is not found in the existing literature [
3,
4].
2.2. Theory of Parallels
In the geometry of Euclid’s elements, five postulates are stated from which the other prepositions are deduced. The first four postulates are simple and intuitive; Euclid demonstrated 27 prepositions referring to triangles (their construction, relations between sides and angles of the same triangle or of two different triangles) as well as adjacent angles and angles opposite the vertex. It is stated by the Fifth Postulate that if, in the same plane, a straight line intersects two other lines, referred to as lines
a and
b, and the sum of the interior angles on the same side of the transversal is less than two right angles (less than 180 degrees), then these two lines, when extended indefinitely, will eventually be intersected on the side where the sum of these angles is less than 180 degrees. To visualize this, a plane with two parallel lines,
a and
b, that do not intersect is imagined. A third line, known as the transversal, is then considered, which is cut across both parallel lines. According to the Fifth Postulate, if the sum of the interior angles formed on the same side of the transversal is less than
, the two parallel lines will eventually be met at some point when extended. The behaviour of parallel lines in Euclidean geometry is described by this postulate, with a clear condition being established for when lines will intersect, as opposed to remaining parallel indefinitely, as is illustrated in
Figure 1 [
24].
Euclidean geometry remained unchallenged for several centuries. But in the Renaissance, efforts to understand Euclid’s work brought up the “parallel problem” again. The authors Bolyai and Lobachevsky demonstrated that Euclid’s fifth postulate is not necessary and independently discovered hyperbolic geometry. The appearance of hyperbolic geometry brought with it the inevitable task of defining which of the two geometries was “true”. This meant studying whether material space was Euclidean or hyperbolic. In the end, it was determined that both geometries are consistent and neither is truer than the other [
18,
19,
24].
Generalized hyperbolic distributions have been of great importance in recent years because their parameters have broad particular applications. They have been used to evaluate financial models, using optimal portfolio selection and risk measurement assessment. Non-Euclidean (hyperbolic) geometries allowed for the advancement of new theories such as relativity. Hyperbolic functions have wide application with respect to special relativity, with particular reference to Lorentz transformations and kinematics [
25].
2.3. Catenaries
The catenary is obtained in the form of a heavy and flexible hanging wire from a transmission line or a telephone line. The combination of exponentials that describe this trajectory has been defined from hyperbolic functions [
10]. Some authors have given credit for hyperbolic functions to mathematician Johan Lambert and other authors who have been interested in solving the form of the catenary (from the Greek katena, meaning chain) [
10]. Galileo mistakenly believed that it might be a parabola; the German mathematician Joachim Jungius (1587–1657) corrected Galileo’s claim, although it was not widely accepted by 17th-century mathematicians. Bernoulli proved that the curve satisfies the differential equation
, where s represents the arc length and
k is a constant that depends on the weight per unit length [
7,
8]. The catenary can also be used for case studies of a fixed-length bar moving on one end of its axis, forming the tractive curve [
26].
2.4. Heat Transmission
At the beginning of the 20th century, the parabolic model of heat transfer with infinite velocity and infinite heat fluxes was physically unacceptable. This model is used in engineering because in ordinary applications the results are close to reality. However, with the use of new technologies in which large amounts of heat are applied in small time intervals (such as the use of laser pulses in materials processing), new physical situations have arisen in which there are serious disparities between the results obtained theoretically and experience. This promoted the appearance of a new alternative model called the hyperbolic model that predicts a finite heat transfer rate and finite heat fluxes. This conception led to the formulation of a new heat conduction equation called the modified Fourier Law [
27]. It introduced a new term called the relaxation parameter, which expresses the time it takes for heat to be transmitted and produce the heat flow [
22,
27]. In addition, hyperbolic functions can be applied in mechanical and electrical systems for the analysis of local thermodynamic equilibrium, elasticity with memory, multiphase and phase transition, and in oscillating and non-oscillating systems in linear and nonlinear waves [
4,
22].
Finally, the transformation of trigonometric functions into hyperbolic functions is deduced using the equation of a catenary in which the Gudermann function and the Mercator projection are obtained. The transformation of trigonometric functions into hyperbolic functions is easy to apply, and its use extends to engineering branches based on mathematics. A non-Eulerian (hyperbolic) solution is presented to problems normally solved with trigonometric (circular) functions. Building on the background literature, the next section details the transformation of hyperbolic functions.
3. Deduction of Hyperbolic Function Transformation
For a cable, it is assumed that a cable differential element is considered, and Newton’s first law is applied, as illustrated in
Figure 2. The tension is represented by
T, and the angle at each end of the cable is measured as
and
+
. The difference between the two angles at each end of the cable is
. From this, Equations (14) and (15) are derived, assuming the value of
to be constant. The summation of forces in the
X- and
Y-directions is expressed as follows:
and
In the cable analysis, a force balance is performed on a differential element, where the differential angle
is sufficiently small to justify the small-angle approximation. In this context, the change in tension
is considered negligible compared to the overall cable tension. Therefore, the standard engineering assumptions are valid:
,
, and
. Consequently,
and
are small enough to render higher-order terms negligible, thus simplifying the expressions in Equations (16) and (17) [
3,
7,
8,
10], as derived below:
and
From the first condition, it follows that
is equal to a constant whose value is equal to the minimum voltage when
; therefore, the minimum tension is
T. By substituting this condition into Equation (
17), Equation (
18) is derived [
8]:
The derivative is the slope of the tangent line to a curve at a point, defined as
[
7]. Substituting this definition into Equation (
18) yields Equation (
19):
The arc length, also called the rectification of a curve, is defined as
. Thus, the problem reduces to solving Equation (
20). Additionally, both terms of the equation are divided into
[
7]:
Equation (
20) can be easily solved by substituting
, which results in Equation (
21).
Figure 3 illustrates the three main forces: the minimum tension
, another point of tension
T, and the weight of the cable
. Furthermore, in relation to the previous
Figure 2, the X and Y axes are introduced to represent the minimum tension as a boundary condition:
Integrating and solving leads to Equation (
22). The solution can be obtained by checking the derivative of the function in Equation (
22), as detailed in
Appendix A. Using the boundary condition
when
, it is determined that the constant
, according to
Figure 3:
The clearing of
p is performed in
Appendix B, obtaining Equation (
23). Therefore,
:
For the condition
and
, integrating and solving leads to Equation (
24):
A force balance is performed for half of the cable, as shown on the left side of
Figure 4. Each of the forces acting on the cable is indicated, including the minimum tension, the weight of the cable, and the tension at the point where the cable is supported, along with its angle. The principle of force translation along a line of action is applied, forming a triangle, as shown on the right side of
Figure 4. The hypotenuse of this triangle represents the tension, the weight of the cable is on the Y-axis, and the minimum tension is on the X-axis.
The value of
, which allows for the determination of the cable length using Equation (
25) [
7,
8]. Specifically,
Using the Pythagorean theorem, Equation (
26) is obtained:
Replacing Equation (
25) in Equation (
26) yields Equation (
27):
Figure 5 shows a proportional relationship between two right triangles. On the left side, a right triangle involving tensions is represented. The hypotenuse is labelled as
T, the opposite side is represented by the term
, and the adjacent side corresponds to
. The angle
represents the angle, and the subscript
h indicates that it is a hyperbolic angle associated with this triangle of forces. The triangle can be related by the property of similar angles. On the right side, the general nomenclature for a similar triangle is presented, with a hypotenuse labelled as
H, an adjacent side labelled as
, and an opposite side labelled as
, with the trigonometric angle
indicated.
Using Equation (
27) and according to the triangle in
Figure 5, Equation (
28) is included:
Taking
, where
is a constant and
x is variable, the angle is represented by
, with the subscript
h indicating that it is a hyperbolic angle, according to the law of similarity of triangles. Moreover,
is determined, where
k is the similarity constant of triangles,
, and
, according to
Figure 5. Therefore, Equation (
29) can be deduced:
Using Equation (
25),
, another relationship is obtained for the sides of the triangle. Using similarity of triangles, Equation (
30) is derived:
By dividing Equation (
30),
, in Equation (
29),
, the expression shown in Equation (
31) is obtained:
The first expressions coincide with the expression known as the Gudermann function [
3,
4] and in the second part, the triangle theorem is obtained using hyperbolic functions, which are shown in Equations (29)–(31). Therefore, the hyperbolic transformation can be expressed using the right triangle formulas with hyperbolic functions, as shown in Equations (32)–(34):
and
Another expression that relates the sides of the triangle can be obtained by replacing
and
, and, rearranging Equation (
22), an expression similar to the Mercator projection is obtained, as shown in Equation (
35) and
Appendix D. Thus, trigonometric angles are transformed into hyperbolic angles without having to resort to hyperbolic functions. The equation presents the relationship between trigonometric functions, the hyperbolic angle, and the natural logarithm. In the equation involving the natural logarithm, solving it reveals that Euler’s number can be used as a substitute:
The following expressions can be obtained, called the right triangle function with hyperbolic angle; in Equation (
36), all the sides of the triangle are related. Thus, the sides of the right triangle are related to the hyperbolic angle and Euler number, without the need for hyperbolic functions, trigonometric functions, or imaginary numbers:
The right triangle function with hyperbolic angle relates the three sides of a right triangle, Euler’s number, and the hyperbolic angle, unlike the Pythagorean theorem, which relates the square of the hypotenuse to the sum of the squares of the two legs of the triangle:
The hyperbolic angle can be related to the Pythagorean theorem, and it can be determined by knowing any of the two sides of the triangle and a hyperbolic angle:
and
Another relationship that can be obtained is by replacing Equation (
38) with Equation (
32), where
, and Equation (
33), where
, as shown in
Appendix C and
Appendix D, where the similarity between the transformation of hyperbolic functions to trigonometric functions is analysed through the multiplication of an imaginary number
i by the natural logarithm. In this way, hyperbolic angles are transformed into trigonometric angles without having to resort to trigonometric functions. This equation represents a variant of the Mercator projection:
By using Euler’s number instead of the natural logarithm, the following function is obtained. An example of the application of this function is its use in representing phasors, which are employed in electrical engineering [
10]. The expression matches Euler’s formula [
2]. Therefore, the function can relate the three sides of the right triangle, the trigonometric angle, the imaginary number, and Euler’s number:
The sum of angles for trigonometric functions can be expressed from the transformation to hyperbolic functions from the following equations, where the sum can be performed by the analogy to know the domain of the hyperbolic angles, where
, while in trigonometric functions
, for other intervals
, adjustments are made in other investigations. Angle values are also tested with
, and the values are valid for this segment. Equations (43) and (44) are obtained in
Appendix E:
and
The expression for right triangles, in which
can be reduced to the equations by replacing the terms obtained for
Appendix F, is:
Figure 6 presents an oblique triangle with sides
a,
b, and
c. The angles are represented by
, where the subscript
h indicates that they are hyperbolic angles, and the subscripts
A,
B, and
C represent the vertices of the triangle.
Another expression that can be used is the law of hyperbolic tangents based on the law of sines, where
. The angles
and can be calculated using the law of hyperbolic cosines, where
:
The law of hyperbolic cosines can be calculated by the expression, just like the previous equation
, which is calculated using Equations (47)–(49):
and
For the angle
, the property
is used:
To ensure a positive value, the expression can be generalized as:
Another expression is the dot product, the deduction of which is presented in
Appendix G:
The cross product expression according to
Appendix H is:
The hyperbolic Mollweide’s formulas are solved in
Appendix I, where the two trigonometric expressions are simplified into a single expression:
According to the deduction, the analogy can be made to know the domain of the hyperbolic angles where
, while in trigonometric functions
. The graphs in
Figure 7 show the comparison between the functions
and
, the graphs in
Figure 8 present the comparison between the functions
and
, and the graphs in
Figure 9 show the comparison between the functions
and
. It is concluded that similar trends are presented in Equations (32)–(34) for the comparison between trigonometric functions and hyperbolic functions, with the differences in curvature due to the fact that the angle domains are different.
Once the mathematical analysis of hyperbolic functions is complete, the next section examines their applications in engineering and mathematics.
5. Discussion of Results
In this section, the results obtained from hyperbolic angle functions are discussed, along with key observations regarding the study and its correlation with functions reported in the literature. This article deems it necessary to clarify that hyperbolic angles are being used in the context of hyperbolic functions, as trigonometric functions are being developed in parallel, in order to avoid confusion between the two types of angles. However, for simpler use, in other research, the term “angle” may be employed when working with hyperbolic functions.
The trigonometric functions are related by Gudermann to the hyperbolic functions. The angle associated with the trigonometric function is referred to as the Gudermann angle, denoted as gd
x, in honor of Christoph Gudermann. This angle represents the same value as the trigonometric functions, but in this article, the term is simplified to “hyperbolic angle” in order to facilitate understanding. An innovative approach to the demonstration of the Gudermann function is presented in this work, based on engineering concepts. The statics of cables, used in transmission lines, is employed as the foundation for the solution to the Gudermann function, which enables a better understanding of mathematics through the analogy with physical phenomena [
5].
Previous research has shown that in hyperbolic triangles, the sum of their interior angles differs from
, and the relationship between these angles is addressed through Euclidean trigonometry. In other words, hyperbolic trigonometry is solved using Euclidean geometry. Unlike these studies, the focus of this work is on the resolution of Euclidean triangles, where the sum of the vertex angles is equal to
. The proposed solution employs non-Euclidean functions, specifically hyperbolic functions, which constitutes an innovative finding and establishes a bridge between the resolution of triangles in Euclidean trigonometry, where Euclidean triangles are solved using hyperbolic functions [
28].
The application of the Mercator projection involves representing the spherical surface of the Earth on a plane, which produces a distortion of the areas as they move away from the equator. This research presents an innovative approach to deriving the Mercator projection from cable statics, emphasizing the advantage that trigonometric angles are converted into hyperbolic angles without the need for hyperbolic functions. Another benefit of this variant of the Mercator projection is that hyperbolic angles are transformed into trigonometric angles without the need for trigonometric functions. Indeed, for both cases, Euler’s number is replaced by the natural logarithm introduced in this study.
In this research, several applications are carried out in which numerical results are obtained by comparing the use of hyperbolic functions with trigonometric functions, storing all decimal values of the angles. Exact values for the sides are obtained. That is, the only numerical errors that could arise when using hyperbolic functions are attributable to rounding errors in the computing systems used. A significant contribution of this research is the use of hyperbolic functions to solve trigonometric problems related to triangles, with applications that can be extended to teaching in undergraduate and graduate programs. In general terms, it is found that both methods are valid, and it cannot be stated that one method is superior to the other.
This research presents the following contributions: (1) The right triangle formulas with hyperbolic functions establish a relationship between the sides of a right triangle and the hyperbolic angles, based on the principles of cable statics; (2) a right triangle function with a hyperbolic angle is introduced, which relates the three sides of the triangle, the hyperbolic angle, and Euler’s number; (3) deriving the law of hyperbolic cosines and hyperbolic tangents using hyperbolic functions; (4) the derivation of Mollweide’s formula with hyperbolic functions, which can also be referred to as the second law of hyperbolic cosines, as it relates the sides of a non-right triangle to their respective hyperbolic angles, linking the hyperbolic cosines of the triangle to each of its sides.
This article is intended for both mathematics education and research in the field, since it integrates a mathematical formulation derived from physical phenomena with practical applications in engineering. By linking traditional trigonometry concepts with innovative methods based on hyperbolic functions, the findings show applications such as the following: (1) the transformation of hyperbolic functions that is used in right angles, (2) the law of hyperbolic tangents and cosines that is used to solve trigonometry problems. Calculus and electricity problems are also solved; therefore, the presented formulation is validated in different fields of engineering and mathematics, allowing for its multidisciplinary use and being a didactic tool that can be adopted in future research.