Abstract

Through a suitable ad hoc assumption, a nonlinear PDE governing a three-dimensional weak, irrotational, steady vector field is reduced to a system of two nonlinear ODEs: the first of which corresponds to the two-dimensional case, while the second involves also the third field component. By using several analytical tools as well as linear approximations based on the weakness of the field, the first equation is transformed to an Abel differential equation which is solved parametrically. Thus, we obtain the two components of the field as explicit functions of a parameter. The derived solution is applied to the two-dimensional small perturbation frictionless flow past solid surfaces with either sinusoidal or parabolic geometry, where the plane velocities are evaluated over the body's surface in the case of a subsonic flow.

1. Introduction

First-order PDEs, which mostly appear in fluid mechanics, describe the motion of ideal as well as of real fluids [1–3] and govern even the electrostatic plasma oscillation [4]. As is well known, there is no complete general theory concerning the derivation of exact analytical solutions for such equations. However, general solutions can be obtained for the quasilinear forms by means of the subsidiary Lagrange equations ([1, Section 2.6.a], Appendix A). We also mention Charpit’s method for the general nonlinear case that yields to complete and general solutions [1, Section 2.6.b]. These solutions involve arbitrary functions of specific expressions of the dependent and independent variables. Furthermore, appropriate transformations of the dependent and (or) independent variables [1, Section 2.1], combined in several cases with the introduction of auxiliary functions (like stream functions), can occasionally linearize the original equation or more generally reduce it to a solvable form, like a quasilinear one, or even to a nonlinear ODE.

In our previous work [5], four simplified forms of the full two-dimensional nonlinear steady small perturbation equation in fluid mechanics [6] were treated analytically. As far as the three of the considered cases are concerned, closed form solutions have been derived for the two dependent variables of the equation, which represent the dimensionless velocities 𝑒, 𝑣 of a perturbed frictionless flow past a solid body surface, while in the fourth case, a parametric solution was obtained with regard to these velocity resultants. We note that the components 𝑒, 𝑣 are parallel to the π‘₯1, π‘₯2 axes of the Cartesian plane, respectively (see Figure 1 in Section 4, where a wavy surface is represented), with π‘₯1 being the direction of the uniform velocity of the steady flow. The extracted closed form solutions provide 𝑣 as a specific expression of 𝑒, as well as an equation for 𝑒 involving an unknown arbitrary function. The analytical method was based on the introduction of a convenient ad hoc assumption, originally due to Pai [7], by means of which the original (simplified) equations, as well as the irrotanional relation, take a quasilinear form integrated by the Lagrange method. Thus, the above-mentioned solution (including the unknown function) for 𝑒 is obtained, together with an ordinary differential equation, which, after a further analytical treatment, provides the exact or approximate (depending on the case) solutions 𝑣(𝑒). However, it should be mentioned that only in the first, more simplified case [5, Equation (9)] of the general equation, the unknown function can be defined by the use of the boundary condition of the problem, resulting in a transcendental equation for 𝑒 (or 𝑣). Furthermore, no investigation has been performed in [5] with regard to the effectiveness of the obtained formulas (the expressions extracted in the application [5, Section 5] concerning the above-mentioned simplified case and the parametric solutions derived for one of the other examined cases [5, Equation (8)]) to evaluate the perturbed flow field.

In the present work (Section 2), we firstly treat a steady three-dimensional PDE concerning a general weak irrotational vector field. By taking into account the three irrotationality conditions and using the ad hoc assumption introduced in [5], the Lagrange method (see Appendix A) finally results in a system of two nonlinear ODEs for the two unknown functions introduced by the ad hoc assumption. These functions represent the field’s components 𝑒2, 𝑒3, while the first component 𝑒1=𝑒 stands for the independent variable. In Section 3, we proceed into the integration of the first ODE, which corresponds to the plane problem (𝑒1,𝑒2) (the second involves also 𝑒3). The herein developed methodology consists of a functional transformation of the dependent variable, in combination with an appropriate split of the resulting equation by using an arbitrary function, which eventually is eliminated. By this technique, we finally derive an Abel equation, which admits a parametric solution. Thus, we obtain the field’s components 𝑒1(=𝑒) and 𝑒2 as explicit expressions of a parameter 𝜏. In several steps of the analysis developed in Section 3, the established, in Appendix C (linear), approximations based on the weakness of the field (𝑒1β‰ͺ1) have been used. Additionally, some limitations imposed by the analysis (see Cases P-1, P-2 in Appendix D) affect the domain of the physical parameter(s) of the problem, for which the extracted solution is valid.

Then in Section 4 we apply the obtained parametric solution in the plane case of the full small perturbation equation, simplified forms of which were investigated in [5]. Here, by combining the extracted parametric formulae with the boundary condition concerning the flow tangential to the solid surface, a transcendental equation is derived, involving 𝜏, πœ‰1, πœ‰2, where πœ‰1, πœ‰2 represent the plane coordinates on the body’s surface. Then, for a given pair (πœ‰1,πœ‰2), the solution of this equation yields 𝜏(πœ‰1,πœ‰2), and hence the β€œsurface” perturbed flow velocity field (𝑒1,𝑒2), can be evaluated (the perturbed velocity components 𝑒1, 𝑒2 refer to the π‘₯1, π‘₯2 cartesian plane). Moreover, by expanding in Taylor series and taking into account the small perturbation, the perturbed velocities can be approximately obtained within a thin zone over the surface. In addition, under the mentioned limitations, we deduce that the obtained results hold true for subsonic flows as well.

Finally, by means of the extracted formulas, graphic representations of the perturbed field versus π‘₯1(=πœ‰1) are obtained, concerning a sinusoidal as well as a parabolic boundary, and the results are compared to the solution of the linearized equation.

2. The Analytical Procedure

2.1. Transformation of the Governing Equations

Consider an irrotational field 𝑒=(𝑒1,𝑒2,𝑒3) satisfying the following PDE:𝐴0𝑖𝑗+π΄πœ…π‘–π‘—π‘’πœ…+π΄π‘–π‘—πœ…πœ†π‘’πœ…π‘’πœ†ξ€Έπ‘’π‘–,𝑗+𝐴033+𝐴333𝑒3𝑒3,3=0,𝑖,𝑗,πœ…,πœ†=1,2,(2.1) where summation convention has been adopted andπ΄π‘–π‘—πœ…πœ†=π΄π‘–π‘—πœ†πœ…π‘’,𝑖,𝑗,πœ…,πœ†=1,2,𝑖,𝑗=πœ•π‘’π‘–πœ•π‘₯𝑗,𝑒3,3=πœ•π‘’3πœ•π‘₯3,𝑖,𝑗=1,2,(2.2) with (π‘₯1,π‘₯2,π‘₯3) being the Cartesian space coordinates. Equation (2.1) is assumed dimensionless and properly scaled, while the coefficients 𝐴 (with the respective upper and subindexes) represent constants or functions of one or more parameters. In this paper, we investigate the case where𝐴𝑖𝑖12=π΄π‘–π‘—πœ…πœ…=0,𝑖≠𝑗,𝑖,𝑗,πœ…=1,2,(2.3a) as well as the case where𝐴2𝑖𝑖=𝐴0𝑖𝑗=𝐴1𝑖𝑗=0,𝑖≠𝑗,𝑖,𝑗=1,2.(2.3b)However, the proposed solution can also be applied to cases where the coefficients involved in (2.3a) and (2.3b) are sufficiently small, so that the respective terms of (2.1) can be neglected in comparison with the others. Moreover, the field is supposed to be weak in the π‘₯1π‘₯2 plane, that is,𝑒𝑖β‰ͺ1,𝑖=1,2.(2.4) In fact the approximations (see Appendix C), used in certain steps of the analytical procedure, are based on the weakness of the field under consideration.

As a first step, we make the ad hoc assumption that the components 𝑒2 and 𝑒3 are functions of the component 𝑒1, namely,𝑒𝑖=𝑓𝑖𝑒1ξ€Έ,𝑖=1,2,3,(2.5) and thus by substituting (2.5), (2.1) (taking into account (2.3a) and (2.3b)) becomes𝑅1(𝑒)𝑒,1+𝑅2(𝑒)𝑒,2+𝑅3(𝑒)𝑒,3=0,(2.6) where 𝑒1 has been replaced by 𝑒 and𝑅1(𝑒)=𝐴011+𝐴111𝑒+𝐴1111𝑒2+𝐴1122𝑓22+𝐴221𝑓2+2𝐴2112𝑒𝑓2𝑓2β€²,(2.7a)𝑅2(𝑒)=𝐴212𝑓2+2𝐴1212𝑒𝑓2+𝐴022+𝐴122𝑒+𝐴2211𝑒2+𝐴2222𝑓22𝑓2β€²,(2.7b)𝑅3𝐴(𝑒)=033+𝐴333𝑓3𝑓3β€².(2.7c)Here, the prime β€œβ€‰' ” denotes differentiation with respect to 𝑒(𝑓𝑖′(𝑒),𝑖=2,3).

On the other hand, the irrotational condition of the field is written in the formβˆ‡Γ—π‘’=πœ–π‘˜π‘—π‘–πœ•π‘’π‘–πœ•π‘₯π‘—π‘’π‘˜=0,𝑖,𝑗,π‘˜=1,2,3,(2.8) where πœ–π‘˜π‘—π‘– is the well-known Levi-Civita tensor and π‘’π‘˜ represent the unit vectors corresponding to π‘₯π‘˜, π‘˜=1,2,3, respectively. By substituting the assumption (2.5) into (2.8), we arrive at the following three equations (𝑒1 is replaced by 𝑒): 𝑓3′𝑒,2βˆ’π‘“2′𝑒,3=0,(2.9a)𝑒,3βˆ’π‘“3′𝑒,2=0,(2.9b)𝑓2′𝑒,1βˆ’π‘’,2=0.(2.9c)

With respect to the physical relevance of (2.1), as well as of the constraints imposed above, we note the following. No β€œmixed” nonlinear terms involving the plane components 𝑒1, 𝑒2 together with 𝑒3 are included in (2.1). Furthermore the restrictions (2.3a) and (2.3b) focus on cases where specific nonlinear terms are involved into the governing equation. More precisely, the procedure developed in this paper confronts nonlinear equations where the partial derivatives of the field components appear in products together with specific combinations of these components, of the first and the second degree. Indeed by (2.3a) and (2.3b), it is obvious that two groups of nonlinear terms are formed with respect to the variations of the plane components 𝑒1, 𝑒2, along their own axes (𝑒𝑖,𝑖) and the other axis (𝑒𝑖,𝑗, 𝑖≠𝑗). This can be clearly observed in the two-dimensional steady small perturbation equation of fluid mechanics, treated in Section 4 (4.1) as an application of the present analysis.

All the above notations, as well as the ad hoc assumption (2.5), outline a normalized structure as regards the behavior of the field in phase space, due to a regulated physical setup. In fact the small perturbation (4.1) is representative of the imposed restrictions, since the origin of the field (the perturbed velocities due to slight β€œgeometric perturbations” of the body’s surface) combined with the orientation of the uniform flow (with reference to the bodyβ€”see Figure 1 in Section 4) can give rise to the specific nonlinear form of the governing equations (2.1), (2.3a), and (2.3b), as well as to the β€œweakness” and the ad hoc assumptions, (2.4) and (2.5), respectively.

2.2. Construction of Intermediate Integrals

Now, by integrating the correspondent to (2.6), (2.9a), (2.9b), and (2.9c) subsidiary Lagrange equations (see Appendix A), we, respectively, obtain the following general solutions:ξ‚Έπ‘₯(2.6)βŸΉπ‘’=𝐺1βˆ’π‘…1(𝑒)𝑅2π‘₯(𝑒)2,π‘₯2βˆ’π‘…2(𝑒)𝑅3π‘₯(𝑒)3ξ‚Ή,(2.10)(2.9a)βŸΉπ‘’=𝐺1ξ‚΅π‘₯1,π‘₯2+𝑓3′𝑓2β€²π‘₯3ξ‚Ά,(2.11a)(2.9b)βŸΉπ‘’=𝐺2ξ€·π‘₯2,π‘₯1+𝑓3β€²π‘₯3ξ€Έ,(2.11b)(2.9c)βŸΆπ‘’=𝐺3ξ€·π‘₯3,π‘₯1+𝑓2β€²π‘₯2ξ€Έ,(2.11c)where 𝐺, 𝐺1, 𝐺2, and 𝐺3 are arbitrary functions possessing continuous partial derivatives with respect to their arguments.

2.3. Reduction to a System of Nonlinear ODEs

In view of (2.10), (2.11a),(2.11b), and (2.11c), we construct a first set of relations by equating identically the functions 𝐺, 𝐺1, 𝐺2, and 𝐺3 as well as their arguments. Thus, excluding the cases where in the extracted equations:π‘₯1=0,π‘₯2=0,π‘₯3π‘₯=0,1=π‘₯2,π‘₯2=π‘₯3,π‘₯1=π‘₯3,(2.12) we eventually obtain the following systems.

Case 1 (𝐺2≑𝐺3). We have 𝑓2π‘₯β€²=1βˆ’1π‘₯2,𝑓3π‘₯β€²=1βˆ’1π‘₯3.(2.13)

Case 2 (𝐺≑𝐺1). We have 𝑅1𝑅2=π‘₯1π‘₯2π‘“βˆ’1βˆ’3′𝑓2β€²π‘₯3π‘₯2,𝑅2𝑅3=π‘₯2π‘₯3βˆ’π‘₯1π‘₯3.(2.14)

Case 3 (𝐺≑𝐺2). We have 𝑅1𝑅2=π‘₯1π‘₯2π‘…βˆ’1,2𝑅3=π‘₯2π‘₯3βˆ’π‘₯1π‘₯3βˆ’π‘“3β€².(2.15)

Case 4 (𝐺≑𝐺3). Subcase 1 (𝐺≑𝐺3). We have 𝑅1𝑅2=π‘₯1π‘₯2βˆ’π‘₯3π‘₯2,𝑅2𝑅3=π‘₯2π‘₯3βˆ’π‘₯1π‘₯3βˆ’π‘“2β€²π‘₯2π‘₯3.(2.16)Subcase 2 (𝐺≑𝐺3). We have 𝑅1𝑅2=βˆ’π‘“2𝑅′,2𝑅3=π‘₯2π‘₯3βˆ’1.(2.17)

Subcases 1 and 2 are, respectively, derived by equating the arguments of 𝐺 and 𝐺3 in two possible combinations. Then, in order to obtain a system of equations not containing explicitly π‘₯1, π‘₯2, and π‘₯3, we find that Cases 1, 3 and Subcase 2 are compatible to each other. Thus by combining their respective equations, we derive the following ODEs:𝑅2(𝑒)𝑓2β€²(𝑒)+𝑅1(𝑒)=0,(2.18)𝑅3(𝑒)𝑓3β€²(𝑒)βˆ’π‘…3(𝑒)𝑓2β€²(𝑒)+𝑅1(𝑒)+𝑅2(𝑒)=0.(2.19) Taking into account (2.7a), (2.7b), and (2.7c), we note that (2.18) contains only 𝑓2 and 𝑓2β€², and thus it constitutes the main equation, the manipulation of which is presented in the next section.

Therefore, the ordinary differential equations (2.18) and (2.19) represent the reduced forms of the partial differential equations (2.6), (2.9a), (2.9b), and (2.9c), via assumption (2.5). Then by substituting (2.7a), (2.7b)) and replacing 𝑓2 with 𝑦 and 𝑒 with π‘₯, (2.18) becomes𝑦π‘₯ξ…ž2+𝜌22(π‘₯)𝑦2𝑦π‘₯ξ…ž2+𝜌11(π‘₯)𝑦𝑦π‘₯β€²+𝜌20(π‘₯)𝑦2=πœ”(π‘₯),(2.20) where 𝑦π‘₯β€² denotes the derivative of 𝑦(π‘₯) with respect to π‘₯ and𝜌22𝛼(π‘₯)=𝑃(π‘₯),𝜌11𝐴(π‘₯)=2+𝐴3π‘₯𝑃(π‘₯),𝜌20𝛽(π‘₯)=𝑃𝑃(π‘₯),πœ”(π‘₯)=1(π‘₯),𝑃(π‘₯)(2.21) with𝛼=𝐴2222,𝛽=𝐴1122,(2.22a)𝑃(π‘₯)=𝐴022+𝐴122π‘₯+𝐴2211π‘₯2,𝑃1(π‘₯)=βˆ’π΄011βˆ’π΄111π‘₯βˆ’π΄1111π‘₯2.(2.22b)We note that 𝐴2 and 𝐴3 as well as all the other coefficients appearing in the next sessions are listed in Appendix E. Henceforth, the prime will denote differentiation with respect to the corresponding suffix.

3. Integration of (2.20)

3.1. Transformation of (2.20)

Introducing transformation𝑦[πœ‰]𝑓(π‘₯)=β„Ž(π‘₯)(π‘₯),(3.1) the left hand side of (2.20) results in a nonlinear expression involving β„Ž, β„Žπœ‰β€², πœ‰π‘₯β€², 𝑓, and 𝑓π‘₯β€². Thus, by taking into account this expression and settingξ‚΅βˆ’π‘“(π‘₯)=expπœ…(π‘₯)2ξ‚Άξ€œπœŒ,πœ…(π‘₯)=11(π‘₯)𝑑π‘₯,(3.2)ξ€œπœŒπœ‰(π‘₯)=31/2(π‘₯)𝑑π‘₯,𝜌3𝜌(π‘₯)=2114βˆ’πœŒ20,(3.3) with 𝜌11, 𝜌20 as in (2.21), (2.20) takes the form β„Žπœ‰ξ…ž2+𝜌22𝑓2β„Ž2β„Žπœ‰ξ…ž2βˆ’πœŒ22𝜌11𝑓2𝜌3βˆ’1/2β„Ž3β„Žπœ‰1β€²+4𝜌22𝜌211𝑓2𝜌3βˆ’1β„Ž4βˆ’β„Ž2=πœ”π‘“2𝜌3.(3.4) Then, by substitutingβ„Ž2(πœ‰)=𝑠(πœ‰),(3.5) (3.4) becomesπ‘ πœ‰ξ…ž2𝑠+𝜌22𝑓2π‘ πœ‰ξ…ž2βˆ’ξƒ©2𝜌22𝜌11𝑓2𝜌3βˆ’1/2π‘ π‘ πœ‰β€²βˆ’πœŒ22𝜌211𝑓2𝜌3βˆ’1𝑠2+4𝑠+4πœ”π‘“2𝜌3ξƒͺ=0.(3.6) In addition, by substitution of (2.21) and (2.22b) into (3.3), we obtain𝜌3𝑃(π‘₯)=2(π‘₯)4𝑃2(π‘₯),𝑃2(π‘₯)=𝐴4+𝐴5π‘₯+𝐴6π‘₯2,(3.7) with 𝑃(π‘₯) as in (2.22b).

3.2. The Split of (3.6)

We now split (3.6) into the following system of equations: π‘ πœ‰ξ…ž2𝑠+𝜌22𝑓2π‘ πœ‰ξ…ž2=𝐹(πœ‰),(3.8a)2𝜌22𝜌11𝑓2𝜌3βˆ’1/2π‘ π‘ πœ‰β€²βˆ’πœŒ22𝜌211𝑓2𝜌3βˆ’1𝑠2+4𝑠+4πœ”π‘“2𝜌3=𝐹(πœ‰),(3.8b)where 𝐹(πœ‰) is an unknown arbitrary function. Furthermore, after dividing (3.8b) by 𝑓2 and setting𝐹(πœ‰)=4πœ”(π‘₯)𝑓2(π‘₯)𝜌3(π‘₯)𝐺(πœ‰),π‘₯=π‘₯(πœ‰),(3.9)(3.8b) will be written as2𝜌22(π‘₯)𝜌11(π‘₯)𝜌3βˆ’1/2(π‘₯)π‘ π‘ πœ‰β€²=𝜌22(π‘₯)𝜌211(π‘₯)𝜌3βˆ’1(π‘₯)𝑠2βˆ’4𝑓2(π‘₯)𝑠+4πœ”(π‘₯)𝑓4(π‘₯)𝜌3(π‘₯)𝐺(πœ‰)βˆ’1,π‘₯=π‘₯(πœ‰),(3.10) where 𝐺(πœ‰) represents now the unknown arbitrary function. We see that (3.10) is an Abel equation of the second kind, and thus by following the analysis presented in [8, Chapter 1, Section 3.4] and taking into account (3.2) and (3.3), it is reduced to a simpler Abel equation, namely,π‘§π‘§π‘‘β€²βˆ’π‘§=πœ”(π‘₯)𝑓(π‘₯)𝜌3(π‘₯)ξ‚„[]𝐺(πœ‰)βˆ’1,π‘₯=π‘₯πœ‰(𝑑),πœ‰=πœ‰(𝑑)(3.11) with𝑠(πœ‰)=𝑧[]𝑑(πœ‰)𝑓[]ξ€œπœŒπ‘₯(πœ‰),𝑑(πœ‰)=βˆ’231/2(π‘₯)π‘‘πœ‰πœŒ22(π‘₯)𝜌11,(π‘₯)𝑓(π‘₯)(3.12) now, by differentiating 𝑠, given by (3.12), with respect to πœ‰ and using (3.2), (3.3) (we consider the appropriate domains where πœ‰(π‘₯) is invertible and hence π‘₯πœ‰β€²=πœ‰π‘₯β€²βˆ’1) as well as the expression of 𝑑 provided by (3.12), we obtain π‘ πœ‰β€², substitution of which into the left-hand side of (3.8a) results inξ‚Έ1𝑓(π‘₯)𝑧(𝑑)+𝜌22(π‘₯)π‘§π‘‘πœŒβ€²βˆ’22(π‘₯)𝜌211(π‘₯)𝑓(π‘₯)4𝜌3(π‘₯)𝑧(𝑑)2=𝜌222(π‘₯)𝜌211(π‘₯)πœ”(π‘₯)𝜌23(π‘₯)𝐺(πœ‰),(3.13) where (3.9) has been substituted for 𝐹(πœ‰).

Equations (3.11) and (3.13) form a new system equivalent to that of (3.8a), (3.8b), obtained by splitting (3.6). The elimination of the arbitrary function 𝐺 yields a nonlinear ODE, which represents the reduced form of (3.6). More precisely, after some algebra we extractξ‚΅31𝑧+𝜌22π‘“ξ‚Άπ‘§π‘‘πœŒβ€²βˆ’3𝜌222𝜌211𝑓1𝑓𝑧+𝜌22ξ‚Άπ‘§π‘‘ξ…ž2=𝜌22𝜌211𝑓8𝜌3𝑧2+ξƒ©πœŒ2+2118𝜌3ξƒͺπ‘§βˆ’2πœ”πœŒ3𝑓.(3.14) Furthermore, as far as the π‘§π‘‘ξ…ž2-term is concerned, combination of (3.12) with (3.1) and (3.5) yields 𝑧(𝑑)=𝑦2(π‘₯)/𝑓(π‘₯), π‘₯=π‘₯[πœ‰(𝑑)]. By differentiating with respect to 𝑑 and taking into account certain relations obtained above, as well as that π‘₯, 𝑦, and 𝑦π‘₯β€² represent 𝑒,𝑒2=𝑓2(𝑒) and 𝑓2β€²(𝑒), respectively, we conclude that 𝑧𝑑′ is equal to (𝛼+𝛽𝑒)(𝑒2𝑓2β€²+𝛾𝑒22+𝛿𝑒𝑒22), where 𝛼,𝛽,𝛾,𝛿 represent expressions of the equation’s coefficients. Therefore, when the plane field’s components, as well as the variation of 𝑒2 with respect to 𝑒, are very small compared with the unit (e.g., if they denote perturbed components in a small perturbation theory), we can perfectly consider 𝑧𝑑′β‰ͺ1,(3.15) and hence we can neglect the π‘§π‘‘ξ…ž2 term in the left-hand side of (3.14) in comparison with the others, as it is of π’ͺ[max{𝑒42,𝑒22𝑓2ξ…ž2}]. We should note here that in our previous work [5], after following a different analysis concerning two simplified forms of the full equation, an analogous to (3.15), but weaker approximation, has been applied, since the neglected term was of π’ͺ(𝑒42/(4𝑒2)), yielding less accurate results compared to the obtained herein solution of (3.14) especially when 𝑒 takes smaller values than 𝑒2. Moreover by means of (3.3) and (3.12), we have[]ξ€œπœŒπ‘‘(π‘₯)=π‘‘πœ‰(π‘₯)=βˆ’23(π‘₯)𝑑π‘₯𝜌22(π‘₯)𝜌11.(π‘₯)𝑓(π‘₯)(3.16) Thus, by writing𝑧(π‘₯)=𝑧,𝑑(π‘₯)(3.17) neglecting the π‘§π‘‘ξ…ž2 term and multiplying with 𝑑π‘₯β€², then by using (3.16), (3.14) becomesξ‚Έ13𝑧+𝜌22𝑧(π‘₯)𝑓(π‘₯)π‘₯πœŒβ€²=βˆ’11(π‘₯)4𝑧2βˆ’16𝜌3(π‘₯)+𝜌211(π‘₯)4𝜌22(π‘₯)𝜌11(π‘₯)𝑓(π‘₯)𝑧+4πœ”(π‘₯)𝜌22(π‘₯)𝜌11(π‘₯)𝑓2.(π‘₯)(3.18) The above equation is also an Abel equation of the second kind and thus we proceed as in [8, Chapter 1, Section 3.4]. More precisely, by using the formulas (D.10a), (D.10b) (see Appendix D), after some algebra, we arrive atπ‘žπ‘žπ‘Ÿ2β€²βˆ’π‘ž=βˆ’πΉ3𝛼00+𝐹01ξ€·π‘₯π‘₯+π’ͺ2𝑀0+𝑀1ξ€·π‘₯π‘₯+π’ͺ2ξ€Έ,(3.19) whereξ€œπΉπ‘Ÿ(π‘₯)=10+𝐹11ξ€·π‘₯π‘₯+π’ͺ2𝑄0+𝑄1ξ€·π‘₯π‘₯+π’ͺ2𝑑π‘₯(3.20) and 𝛼 being as in (2.22a). Now, by applying (C.4) (Appendix C) to both rational functions in the right-hand sides of (3.19) and (3.20), we obtainπ‘žπ‘žπ‘Ÿβ€²βˆ’π‘ž=𝐡2+𝐡3π‘₯,(3.21)ξ€œξ€·π΅π‘Ÿ(π‘₯)=0+𝐡1π‘₯𝑑π‘₯=𝐡0ξ€·π‘₯π‘₯+π’ͺ2ξ€Έ.(3.22) Finally, substitution of π‘₯=π‘Ÿ/𝐡0 into (3.21) yieldsπ‘žπ‘žπ‘Ÿβ€²βˆ’π‘ž=𝐡2+𝐡3π‘Ÿ.(3.23) Moreover, by the followed procedure (see [8]), we have thatπ‘ž[]𝑧(π‘₯)=π‘Ÿ(π‘₯)πΈβˆ’π‘ƒ(π‘₯)3𝛼𝑓(π‘₯)(3.24) with 𝑃(π‘₯) as in (2.22b) and 𝐸 given by (D.10b) (see Appendix D). Finally, the Abel equation (3.23) is solved parametrically (Appendix B, formulas (B.7)) asπΆπ‘Ÿ=𝐡3πœΞ“βˆ’1/2(𝜏)π‘’βˆ’πΌ(𝜏)/2βˆ’π΅2𝐡3,π‘ž=πΆΞ“βˆ’1/2(𝜏)π‘’βˆ’πΌ(𝜏)/2,(3.25) whereΞ“(𝜏)=𝜏2+πœβˆ’π΅3ξ€œ,𝐼(𝜏)=π‘‘πœ.Ξ“(𝜏)(3.26) In the above relations 𝜏 represents the parameter while 𝐢 is an arbitrary constant. Now, by substituting Ξ“βˆ’1/2(𝜏)π‘’βˆ’πΌ(𝜏)/2=Ξ©(𝜏)(3.27) and taking into account (3.22), the above parametric solution takes the formπ‘₯=𝐡4+𝐡5𝐢𝜏Ω(𝜏),π‘ž=𝐢Ω(𝜏).(3.28) All the coefficients appearing through the analysis are listed in Appendix E.

3.3. The Parametric Solution for the Field’s Components 𝑒1, 𝑒2

By combining (3.1), (3.5), (3.12), (3.17), and (3.24), we obtain𝑦2π‘ž[](π‘₯)=π‘Ÿ(π‘₯)𝑓(π‘₯)πΈβˆ’π‘ƒ(π‘₯).3𝛼(3.29) Approximating linearly 𝑃(π‘₯), namely,𝑃(π‘₯)=𝐴022+𝐴122ξ€·π‘₯π‘₯+π’ͺ2ξ€Έ(3.30) and substituting π‘ž from (3.28), as well as 𝑓 and 𝐸 from (D.10a), (D.10b) (Appendix D), then (3.29) yields3𝛼𝑦2=𝐡6𝐡+𝐢𝜏Ω7+𝐡8ξ€Έ/𝜏+𝐢2𝜏2Ξ©2𝐡9+𝐡10ξ€Έ/𝜏+𝐢3𝜏3Ξ©3𝐡11+𝐡12ξ€Έ/𝜏+𝐡13𝐢4𝜏4Ξ©4𝑐0+𝑐1𝐢𝜏Ω+𝑐2𝐢2𝜏2Ξ©2ξ€Έ.(3.31) Furthermore, by solving the first part of (3.28) for 𝐢𝜏Ω(𝜏), we have𝐢𝜏Ω(𝜏)=𝑏0+𝑏1π‘₯.(3.32) Now, approximating linearly the powers of 𝐢𝜏Ω(𝜏) involved into (3.31), that is𝐢2𝜏2Ξ©2=𝑏20+2𝑏0𝑏1ξ€·π‘₯π‘₯+π’ͺ2ξ€Έ,𝐢3𝜏3Ξ©3=𝑏30+3𝑏20𝑏1ξ€·π‘₯π‘₯+π’ͺ2ξ€Έ,𝐢4𝜏4Ξ©4=𝑏40+4𝑏30𝑏1ξ€·π‘₯π‘₯+π’ͺ2ξ€Έ(3.33) and substituting (3.32) and (3.33) into (3.31), then by replacing π‘₯ with 𝑒=𝑒1 and 𝑦 with 𝑒2=𝑓2(𝑒) and taking also into account (3.28), we conclude that𝑒π‘₯1,π‘₯2,π‘₯3ξ€Έ=πœ™1(𝜏)=𝐡4+𝐡5𝐢𝜏Ω(𝜏),(3.34a)𝑒22ξ€·π‘₯1,π‘₯2,π‘₯3ξ€Έ=πœ™221(𝜏,𝑒)=𝑏3𝛼2+𝑏3𝑏𝑒+4+𝑏5𝑒(1/𝜏)𝑐3+𝑐4𝑒,(3.34b)with Ξ© as in (3.27) and 𝛼 given by (2.22a). Equations (3.34a), (3.34b) constitute the approximate analytical parametric solution of the problem for 𝑒1, 𝑒2. As far as the component 𝑒3 is concerned, combination of (2.18) and (2.19) results in𝑅3𝑓2β€²+𝑅2𝑓2ξ€Έβ€²βˆ’1βˆ’π‘…3𝑓3β€²=0,𝑒3=𝑓3(𝑒).(3.35) The above equation can be simplified a little if we neglect the last term in the left-hand side (it is of the form (π‘Ž+𝑏𝑓3)𝑓3ξ…ž2) by considering 𝑓3β€²β‰ͺ1. Anyhow we will not investigate (3.35) in this work.

Moreover, in order to evaluate the constant 𝐢 involved into the parametric solution (3.34a), (3.34b), we need a boundary condition, that is, to locate to a point π‘₯0=(π‘₯10,π‘₯20,π‘₯30) where the field components 𝑒0=𝑒(π‘₯0), 𝑒20=𝑒2(π‘₯0) are known. Then, by solving (3.34b)) for 𝜏, we extract the corresponding value of the parameter 𝜏0=𝜏(π‘₯0), and finally, by using (3.34a), we arrive at𝑒𝐢=0βˆ’π΅4𝐡5𝜏0Ξ©ξ€·πœ0ξ€Έ.(3.36)

In the next section we apply the derived solution in the two-dimensional case of a flow past bodies with specific boundaries.

4. Parametric Solution for a 2-D Flow

As an application of the parametric solution obtained above for the plane case of (2.1), we consider the full nonlinear PDE governing the two-dimensional (𝑒3=0, π‘₯3=0) steady small perturbation frictionless flow past a solid body surface [6], namely,1βˆ’π‘€2βˆ’(𝛾+1)𝑀2𝑒1βˆ’12(𝛾+1)𝑀2𝑒21βˆ’12(π›Ύβˆ’1)𝑀2𝑒22𝑒1,1+1βˆ’(π›Ύβˆ’1)𝑀2𝑒1βˆ’12(π›Ύβˆ’1)𝑀2𝑒21βˆ’12(𝛾+1)𝑀2𝑒22𝑒2,2βˆ’π‘€2𝑒2+𝑒1𝑒2𝑒1,2+𝑒2,1ξ€Έ=0,(4.1) where 𝑀 is the correspondent to the uniform flow Mach number, which stands for the physical parameter of the problem, and 𝛾 is the ratio of the specific heats usually taken equal to 1.4; hence, the respective (dimensionless) coefficients 𝐴0𝑖𝑗, π΄πœ…π‘–π‘— and π΄π‘–π‘—πœ…πœ† of (2.1) (the 𝑒3,3 term vanishes) are given by𝐴011=1βˆ’π‘€2,𝐴111=βˆ’2.4𝑀2,𝐴1111=βˆ’1.2𝑀2,𝐴1122=βˆ’0.2𝑀2,𝐴212=𝐴221=βˆ’π‘€2,𝐴1212=𝐴2112𝑀=βˆ’22,𝐴022=1,𝐴122=βˆ’0.4𝑀2,𝐴2211=βˆ’0.2𝑀2,𝐴2222=βˆ’1.2𝑀2.(4.2) Relations (2.3a), (2.3b) also hold true. As mentioned in Section 2, the above equation represents a highly appropriate case, where the physical relevance of the imposed constraints (2.3a)-(2.3b)–(2.5) can be explained by a normalized physical background like the one generated by a uniform flow passing over a slightly β€œperturbed” surface, according to a specific geometry (see Figure 1, and the applications at the end of this section). Here, 𝑒1, 𝑒2 represent the dimensionless perturbation velocity components along the π‘₯1, π‘₯2 axes (see Figure 1), normalized by the uniform velocity of the steady flow, which is parallel to the π‘₯1 direction in the physical plane.

A wavy surface (projection in the π‘₯1π‘₯2 plane) is shown in Figure 1, as a representative case able to produce small plane perturbations in the velocity field (the surface is supposed to have very small amplitude). Moreover, the irrotationality condition (2.9c) holds true and (2.10) and (2.11c) becomeξ‚Έπ‘₯𝑒=𝐺1βˆ’π‘…1(𝑒)𝑅2π‘₯(𝑒)2ξ‚Ή,(4.3)𝑒=𝐺3ξ€·π‘₯1+𝑓2β€²π‘₯2ξ€Έ,(4.4) respectively, where 𝐺, 𝐺3 denote arbitrary functions and 𝑅1, 𝑅2 are as in (2.7a),(2.7b)) (we mention that 𝑒=𝑒1). Obviously in the two-dimensional case, (2.9a),(2.9b)) and (2.11a),(2.11b)) become identities. Comparison between (4.3) and (4.4) results in (2.18).

If we refer now to the proper conditions restricted by the analysis (see Appendix D), we extract that the discriminant Ξ” of 𝑃(𝑒) (π‘₯ has been replaced by 𝑒) is always positive (Ξ”>0), and, moreover, since 𝐴2211<0, by obtaining the roots of 𝑃(𝑒), considering the respective to the Cases P-1 and P-2 intervals for 𝑒 and assuming 𝑒≀0.1(𝑒β‰ͺ1) as well, then a restriction to the domain of 𝑀 is derived. More precisely, we find that formulae (3.34a), (3.34b) are valid for⎧βŽͺβŽͺ⎨βŽͺβŽͺβŽ©ξ€·π‘€β‰€0.71𝑒=10βˆ’1ξ€Έ,ξ€·0.74𝑒=5Γ—10βˆ’2ξ€Έ,ξ€·0.78𝑒=10βˆ’2ξ€Έ,ξ€·0.79𝑒=10βˆ’4ξ€Έ.(4.5) Thus, for the specific 2-D steady flow field, the obtained approximate solution can be applied only to subsonic flows. Moreover, as far as the integral ∫𝐼(𝜏)=π‘‘πœ/Ξ“(𝜏), involved into the function Ξ©(𝜏), is concerned (see (3.26), (3.27)), the discriminant 𝛿 of Ξ“(𝜏) is evaluated negative (𝛿<0), and therefore the integral 𝐼 is obtained asβˆ’πΌ(𝜏)21=βˆ’βˆšβˆ’π›Ώarctan1+2𝜏√.βˆ’π›Ώ(4.6)

Now, in order to construct an appropriate procedure to obtain 𝜏(π‘₯1,π‘₯2), we consider the well-known boundary condition (see [6, page 208])π‘’β‹…βˆ‡πœ™=0,(4.7) where 𝑒=(1+𝑒(πœ‰1,πœ‰2),𝑒2(πœ‰1,πœ‰2)) is the total dimensionless velocity vector of the flow at the solid surface, while πœ™(πœ‰1,πœ‰2)=0 represents the equation of the β€œsurface line”, that is, the section of the body’s surface with the π‘₯1π‘₯2 plane. Here, πœ‰1, πœ‰2 denote the plane coordinates on this line with πœ‰1∈[0,𝐿], 𝐿 being the body’s length, and |πœ‰2|β‰ͺ1. Condition (4.7) states that at the surface of the body the direction of the flow must be tangential to the surface line. Developing (4.7), we arrive atξ€·ξ€·πœ‰1+𝑒1,πœ‰2πœ™ξ€Έξ€Έ,πœ‰1+𝑒2ξ€·πœ‰1,πœ‰2ξ€Έπœ™,πœ‰2=0,(4.8) where by neglecting 𝑒(𝑒β‰ͺ1), we obtain𝑒2ξ€·πœ‰1,πœ‰2ξ€Έπœ™=βˆ’,πœ‰1πœ™,πœ‰2=π‘‘πœ‰2π‘‘πœ‰1ξ€·πœ‰=𝑔1,πœ‰2ξ€Έ.(4.9) By squaring (4.9) and substituting 𝑒2 and 𝑒 by their parametric expressions (3.34b),(3.34a), we derive a transcendental equation for 𝜏, namely,πœ™22ξ€Ίπœ,πœ™1ξ€»(𝜏)=𝑔2ξ€·πœ‰1,πœ‰2ξ€Έ.(4.10) Thus, for a given pair (πœ‰1,πœ‰2) on the surface line, the solution of (4.10) results in 𝜏(πœ‰1,πœ‰2), substitution of which into (3.34a), (3.34b) yields the perturbed velocity vector (𝑒1,𝑒2) of the flow at (πœ‰1,πœ‰2). In fact, in the case of the flow under consideration, only the perturbed velocity 𝑒 is evaluated by, use of the extracted parametric solution, since due to (4.9) 𝑒2 simply expresses approximately the slope of the surface line. Furthermore, assuming that the functions 𝑒𝑖(π‘₯1,π‘₯2), 𝑖=1,2 are analytic inside a domain located on any line π‘₯1(=πœ‰1)= constant with π‘₯1∈[0,𝐿] (𝐿 represents the body’s length) and π‘₯2, slightly different from πœ‰2(π‘₯2>πœ‰2), by developing in Taylor series around (πœ‰1,πœ‰2), we haveπ‘’π‘–ξ€·πœ‰1,π‘₯2ξ€Έ=π‘’π‘–ξ€·πœ‰1,πœ‰2ξ€Έ+πœ•π‘’π‘–πœ•π‘₯2ξ€·π‘₯2βˆ’πœ‰2ξ€Έ+12πœ•2π‘’π‘–πœ•π‘₯22ξ€·π‘₯2βˆ’πœ‰2ξ€Έ2+β‹―,𝑖=1,2.(4.11) Taking into account the small perturbation theory (the derivatives involved into the series (4.11), as well as πœ‰2, are very small compared to unity) and also that π‘₯2 lies close enough to πœ‰2, so that (π‘₯2βˆ’πœ‰2)β‰ͺ1, all the terms after the first in the right-hand side of (4.11) can be neglected. Thus, we can approximately evaluate the perturbed plane flow field inside a thin zone over the body’s surface. Obviously, the thickness of this zone depends on the order of magnitude of πœ‰2. For example, if the boundary has a sinusoidal shape (one of the cases considered below), that is, πœ‰2=π‘Žsin(π‘πœ‰1), πœ‰1∈[0,𝐿], π‘Ž,π‘βˆˆ(0,1) and if we take π‘Ž=0.05, then within the domain {(π‘₯1,π‘₯2)∢π‘₯1∈[0,𝐿],π‘₯2∈(πœ‰2,πœ‰2+2π‘Ž)} (a plane zone of thickness 2π‘Ž (measured in the π‘₯2-direction) with parallel sinusoidal boundaries), the error in (4.11) is π’ͺ(π‘₯2βˆ’πœ‰2)≀10βˆ’2. Therefore, the above approximation is valid inside a zone over the solid surface of thickness less or equal to 2π‘Ž(=0.1). In addition, in order to obtain 𝜏0=𝜏(π‘₯10,π‘₯20) and 𝐢 (see the end of Section 3), the axes origin is used which is located at the point where the flow arrives at the body surface and consequently (π‘₯10,π‘₯20)=(0,0), (𝑒0,𝑒20)=(0,𝑔(0,0))(𝑒0=𝑒(0,0), 𝑒20=𝑒2(0,0)), where 𝑔 is given by (4.9). Therefore, by means of (3.34b)) and (3.36) we conclude that𝜏(0,0)=𝜏0=𝑏43𝛼𝑐3𝑔2(0,0)βˆ’π‘2𝐡,𝐢=βˆ’4𝐡5𝜏0Ξ©ξ€·πœ0ξ€Έ(4.12) with Ξ© provided by (3.26) and (3.27), where the integral 𝐼 is evaluated by (4.6).

The derived solution, constructed by relations (3.34a), (3.34b), and (4.10), is applied to the two-dimensional steady frictionless flow past a boundary of sinusoidal (wavy wall), as well as of a parabolic shape. The problem is governed by (4.1). Especially for the β€œsinusoidal” boundary problem, implicit solutions in the form of transcendental equations have been extracted in [5, Section 5, Equation (72) and (74), (77)], for the more simplified case of (2.1), where the only nonzero coefficients were 𝐴011, 𝐴111, and 𝐴022 [5, Equation (9)]. Here, boundary condition (4.7) holds withπœ™π‘ ξ€·πœ‰1,πœ‰2ξ€Έ=πœ‰2βˆ’π‘Žπ‘ ξ€·sinπ‘πœ‰1ξ€Έ=0,π‘Žπ‘ ,π‘βˆˆ(0,1),(4.13a)πœ™π‘ξ€·πœ‰1,πœ‰2ξ€Έ=π‘Žπ‘ξ€·πœ‰2+πœ‰20ξ€Έ2βˆ’πœ‰1βˆ’πœ‰10=0,π‘Žπ‘,πœ‰10,πœ‰2>0,πœ‰20=ξ€·πœ‰10/π‘Žπ‘ξ€Έ1/2,(4.13b)where πœ™π‘  and πœ™π‘ describe the sinusoidal and parabolic form of the surface, respectively, while π‘Žπ‘  and π‘Žπ‘ denote the amplitude and the curvature of the surface line in the cases under consideration. The low magnitude of π‘Žπ‘  and the large magnitude of π‘Žπ‘ allow the small perturbation theory to be applied. Additionally, in both (4.13a), (4.13b), we have πœ‰1(=π‘₯1)∈[0,𝐿], where 𝐿 stands for the assumed body’s length, while in the β€œsinusoidal” case, the wavelength of the wavy surface is equal to 2πœ‹/𝑏.

As far as the graphs exhibited below are concerned, the β€œdashed” line represents the sinusoidal or the parabolic boundary, with geometries: π‘Žπ‘ =0.05, 𝑏=0.5 (Figures 2(a), 2(c)β€”(4.13a)) and π‘Žπ‘=5Γ—103, πœ‰10=10 (Figures 3(a), 3(b), (4.13b)). Moreover, the solid blue line in Figures 2(b) and 3(a) has been obtained as the solution for 𝑒1 of the linearized form of (4.1), where the slope of the solid surface has been substituted for the component 𝑒2. In both geometries, the body’s length 𝐿 is taken equal to 12πœ‹ (three wavelengths in the wavy case) and the correspondent to the uniform unperturbed flow Mach number is set equal to 0.7. We note that by changing the values of the geometric parameters involved in (4.13a) and (4.13b), as well as the value of the Mach number, the perturbed field presents qualitatively similar graphs to those obtained here. Finally, as mentioned above the perturbed velocity 𝑒2 is obtained as the slope of the surface.

In Figure 2(b), we note that the linear approximation is excellent throughout the body’s length except in small intervals centered at the picks of the sinusoidal surface with radius approximately equal to πœ‹/6(((2π‘˜+1)πœ‹βˆ’πœ‹/6,(2π‘˜+1)πœ‹+πœ‹/6),π‘˜=0,1,…). Outside these locations the maximum error of the linear approximation (with respect to the ad hoc solution) is approximately equal to 6Γ—10βˆ’5, while inside these intervals the difference between the two solutions increases with π‘₯1 moving towards the pick. Furthermore, concerning the comparison of the solutions in the case of the parabolic surface (Figure 3(a)), we find that for the considered body’s length, the maximum error of the linear approximation is approximately equal to 1.5Γ—10βˆ’6 (the error increasing with π‘₯1).

5. Summary and Conclusion

In this paper an ad hoc analytical parametric solution has been obtained, concerning a nonlinear PDE governing a two-dimensional steady irrotational vector field. However, in Section 2 of this work the three-dimensional case is treated. As a result, we obtain a system of two (nonlinear) ODEs being equivalent to that of the original PDEs (including the irrotationality conditions). The analytical tools have been used in order to integrate the first ODE (concerning the two-dimensional case), in combination with linear approximations of certain polynomial and rational expressions, succeeded in transforming the above equation to a parametrically solvable Abel form. In particular, as established in Section 3, the β€œsplitting” technique proved excellent in manipulating and transforming strongly nonlinear ODEs to integrable equations, and hence it may be considered representative of the general pattern of the analysis. Thus, we believe that the developed methodology, possibly modified, extended and enriched with more analytical techniques, can be a powerful tool of research on nonlinear problems in mechanics and physics.

Appendices

A. Lagrange Method for Quasilinear PDEs of First Order

According to this method, a general solution of the quasilinear equation𝐻1ξ€·π‘₯1,π‘₯2,π‘₯3ξ€Έ,𝑒𝑒,1+𝐻2ξ€·π‘₯1,π‘₯2,π‘₯3ξ€Έ,𝑒𝑒,2+𝐻3ξ€·π‘₯1,π‘₯2,π‘₯3ξ€Έ,𝑒𝑒,3ξ€·π‘₯=𝑅1,π‘₯2,π‘₯3ξ€Έ,ξ€·π‘₯,𝑒𝑒=𝑒1,π‘₯2,π‘₯3ξ€Έ,𝑒,𝑖=πœ•π‘’πœ•π‘₯𝑖,𝑖=1,2,3(A.1) has the form𝐺𝑀1,𝑀2,𝑀3ξ€Έ=0,(A.2) where𝑀1ξ€·π‘₯1,π‘₯2,π‘₯3ξ€Έ,𝑒=π‘Ž,𝑀2ξ€·π‘₯1,π‘₯2,π‘₯3ξ€Έ,𝑒=𝑏,𝑀3ξ€·π‘₯1,π‘₯2,π‘₯3ξ€Έ,𝑒=𝑐,(A.3) with π‘Ž,𝑏,𝑐 being constants, are solutions of the subsidiary Lagrange equations𝑑π‘₯1𝐻1=𝑑π‘₯2𝐻2=𝑑π‘₯3𝐻3=𝑑𝑒𝑅(A.4) and 𝐺 is an arbitrary function possessing continuous partial derivatives with respect to its arguments.

B. Analytical Parametric Solution of the Equation 𝑦𝑦π‘₯β€²βˆ’π‘¦=𝐴π‘₯+𝐡

It is well known that the general ODE of the first order𝐹π‘₯,𝑦,𝑦π‘₯β€²ξ€Έ=0(B.1) can accept a parametric solution of the formπ‘₯=π‘₯(𝑑),𝑦=𝑦(𝑑),(B.2) in case where the following system can be integrated, namely,𝑑π‘₯𝐹𝑑𝑑=βˆ’,𝑑𝐹,π‘₯+𝑑𝐹,𝑦,(B.3a)𝑑𝑦𝑑𝑑=𝑑𝑑π‘₯𝑑𝑑=βˆ’π‘‘πΉ,𝑑𝐹,π‘₯+𝑑𝐹,𝑦,(B.3b)where the notation 𝐹π‘₯β€²=𝑑𝐹/𝑑π‘₯, 𝐹,π‘₯=πœ•πΉ/πœ•π‘₯ has been adopted. The above system is obtained by the substitution of 𝑦π‘₯β€²=𝑑 and differentiation of (B.1) with respect to 𝑑. In particular, if 𝑑 can be eliminated from (B.2), then a closed-form solution of (B.1) is extracted.

Therefore, as far as the Abel equation 𝑦𝑦π‘₯β€²βˆ’π‘¦=𝐴π‘₯+𝐡 is concerned, since it is solvable for π‘₯, that is,π‘₯=π‘‘βˆ’1π΄π΅π‘¦βˆ’π΄,(B.4) then (B.3b) is considered, namely, (𝐹(π‘₯,𝑦,𝑑)=π‘¦π‘‘βˆ’π‘¦βˆ’π΄π‘₯βˆ’π΅=0)𝑑𝑦𝑑𝑑=βˆ’π‘‘π‘¦π‘‘2.βˆ’π‘‘βˆ’π΄(B.5) Integration of (B.5) in combination with (B.4) results in 𝐢π‘₯=π΄ξ‚΅βˆ’ξ€œ(π‘‘βˆ’1)exp𝑑𝑑𝑑𝑑2ξ‚Άβˆ’π΅βˆ’π‘‘βˆ’π΄π΄,ξ‚΅βˆ’ξ€œπ‘¦=𝐢exp𝑑𝑑𝑑𝑑2ξ‚Άβˆ’π‘‘βˆ’π΄(B.6) with 𝐢 being an arbitrary constant. Moreover, by substituting 𝜏=π‘‘βˆ’1 and taking into account [19, Integral 2.175.1], the parametric solution (B.6) takes the form 𝐢π‘₯=π΄πœξ€·πœ2ξ€Έ+πœβˆ’π΄βˆ’1/2ξ‚΅βˆ’1exp2ξ€œπ‘‘πœπœ2ξ‚Άβˆ’π΅+πœβˆ’π΄π΄,ξ€·πœπ‘¦=𝐢2ξ€Έ+πœβˆ’π΄βˆ’1/2ξ‚΅βˆ’1exp2ξ€œπ‘‘πœπœ2ξ‚Ά.+πœβˆ’π΄(B.7)

C. Approximations due to the Weakness of the Field

The weakness of the field under consideration, especially of the 𝑒1(=𝑒) coordinate, that is, 𝑒β‰ͺ1, allows us to establish the following approximations. (1)We linearly approximate all the polynomials 𝑝(π‘₯) (π‘₯ represents 𝑒) of degree greater or equal than two, namely, ξ€·π‘₯𝑝(π‘₯)=π‘Ž+𝑏π‘₯+π’ͺ2ξ€Έ.(C.1)(2)Considering the ratio of binomials 𝑝1(π‘₯)=𝛼+𝛽π‘₯,𝛾+𝛿π‘₯(C.2) we evaluate 𝑝1(π‘₯)=(𝛼+𝛽π‘₯)(π›Ύβˆ’π›Ώπ‘₯)𝛾2βˆ’π›Ώ2π‘₯2=ξ€·π‘₯𝛼𝛾+(π›½π›Ύβˆ’π›Όπ›Ώ)π‘₯+π’ͺ2𝛾2ξ€·π‘₯+π’ͺ2ξ€Έ,(C.3) and therefore we obtain 𝑝1𝛼(π‘₯)≅𝛾+1π›Ύξ‚΅π›½βˆ’π›Όπ›Ώπ›Ύξ‚Άπ‘₯.(C.4)

D. Expressions for 𝑓(π‘₯) and 𝐸(π‘₯)

In this appendix, we extract appropriate formulas for the function 𝑓(π‘₯), appearing in (3.2), as well as for the function 𝐸(π‘₯)=exp(πœ…(π‘₯)/12), involved into the reduction procedure of the Abel equation (3.18) [8, Chapter 1, Section 3.4]. Thus, by considering the function βˆ«πœŒπœ…(π‘₯)=11(π‘₯)𝑑π‘₯, given from (3.2) and substituting 𝜌11 from (2.21), by means of [9, Expression 2.175.1], we arrive atπœ…(π‘₯)=𝐴7[]ln𝑃(π‘₯)+𝐴8ξ€œπ‘‘π‘₯𝑃(π‘₯),𝑃(π‘₯)=𝐴022+𝐴122π‘₯+𝐴2211π‘₯2.(D.1) The coefficients involved in various expressions appearing in this appendix are listed in Appendix E. We mention that all these coefficients (appeared through the analytical procedure in this work) are functions of the physical parameter(s), of the problem. Therefore, for this (these) parameter(s) taking values such that the discriminant Ξ” of 𝑃(π‘₯) becomes positive (Ξ”=(𝐴122)2βˆ’4𝐴022𝐴2211) if 𝜌1, 𝜌2 represent the roots of 𝑃(𝜌1,2=(βˆ’π΄122Β±βˆšΞ”2𝐴2211) and considering the following cases:

Case P-1
Ξ”>0,𝐴2211ξ€·πœŒ<01<𝜌2ξ€ΈβˆΆπœŒ1𝜌<π‘₯<2βˆ’πœ–3,Ξ”>0,𝐴2211ξ€·πœŒ>02<𝜌1ξ€ΈβˆΆπœŒ2+πœ–3<π‘₯<𝜌1.(D.2)

Case P-2
Ξ”>0,𝐴2211<0∢π‘₯<𝜌1orπ‘₯>𝜌2+πœ–,Ξ”>0,𝐴2211>0∢π‘₯<𝜌2βˆ’πœ–orπ‘₯>𝜌1(D.3) with βˆšπœ–=Ξ”/|𝐴2211|, then by elementary algebra (using [9, Expression 2.172]) we can easily prove the following Lemma.

Lemma D.1. If Case P-1 or P-2 is valid, then the integral βˆ«π‘‘π‘₯/𝑃 can be written in the form: ξ€œπ‘‘π‘₯=1𝑃(π‘₯)βˆšΞ”[],||||ln1βˆ’πœ†(π‘₯)πœ†(π‘₯)<1(D.4) with πœ†πœ†(π‘₯)=0+πœ†1π‘₯πœ‡0+πœ‡1π‘₯.(D.5)

The coefficients πœ†0, πœ†1 are different as regards these two cases, while πœ‡0, πœ‡1 are common (see Appendix E). Thus, substituting (D.4) into (D.1), we obtainξ‚΅βˆ’π‘“(π‘₯)=expπœ…(π‘₯)2ξ‚Ά=𝑃𝐴9[](π‘₯)1βˆ’πœ†(π‘₯)𝐴10,𝐸=expπœ…(π‘₯)ξ‚Ά12=π‘ƒπ‘Ž9[](π‘₯)1βˆ’πœ†(π‘₯)π‘Ž10.(D.6) Then by writing 𝑃 in the form 𝑃(π‘₯)=𝐴022(1+𝐴11π‘₯+𝐴11π‘₯2) and developing in power series (assuming that |𝐴11π‘₯+𝐴11π‘₯2|<1) up to the first order, we take𝑃𝐴9(π‘₯)=𝐴12+𝐴13ξ€·π‘₯π‘₯+π’ͺ2ξ€Έ,π‘ƒπ‘Ž9(π‘₯)π‘Ž12+π‘Ž13ξ€·π‘₯π‘₯+π’ͺ2ξ€Έ.(D.7) Furthermore, by applying (C.4) to (D.5), we arrive atπœ†(π‘₯)=πœ†2+πœ†3π‘₯,πœ†2(π‘₯)=πœ†22+2πœ†2πœ†3ξ€·π‘₯π‘₯+π’ͺ2ξ€Έ.(D.8) Then developing [1βˆ’πœ†(π‘₯)]𝐴10 and [1βˆ’πœ†(π‘₯)]π‘Ž10 up to the second order and substituting (D.8), we conclude that[]1βˆ’πœ†(π‘₯)𝐴10=πœ†4+πœ†5ξ€·π‘₯π‘₯+π’ͺ2ξ€Έ,[]1βˆ’πœ†(π‘₯)π‘Ž10=πœ‡4+πœ‡5ξ€·π‘₯π‘₯+π’ͺ2ξ€Έ.(D.9) Finally, substitution of (D.7) and (D.9) into (D.6) results in𝐴𝑓(π‘₯)=12+𝐴13π‘₯πœ†ξ€Έξ€·4+πœ†5π‘₯ξ€Έ,(D.10a)ξ€·π‘ŽπΈ=12+π‘Ž13π‘₯πœ‡ξ€Έξ€·4+πœ‡5π‘₯ξ€Έ.(D.10b)

E. List of Coefficients

𝛼=𝐴2222,𝛽=𝐴1122,𝐴2=𝐴212+𝐴221,𝐴3𝐴=21212+𝐴2112ξ€Έ,𝐴4=𝐴22βˆ’4𝛽𝐴022,𝐴5=2𝐴2𝐴3βˆ’4𝛽𝐴122,𝐴6=𝐴32βˆ’4𝛽𝐴2211,𝐴7=𝐴32𝐴2211,𝐴8=𝐴2βˆ’π΄3𝐴1222𝐴2211,𝐴9𝐴=βˆ’72,π‘Ž9=𝐴712,𝐴10𝐴=βˆ’82βˆšΞ”,π‘Ž10=𝐴8√12Ξ”,𝐴11=𝐴122𝐴022,𝐴11=𝐴2211𝐴022,𝐴12=𝐴022𝐴9,𝐴13=𝐴9𝐴11𝐴12,π‘Ž12=𝐴022ξ€Έπ‘Ž9,π‘Ž13=π‘Ž9𝐴11π‘Ž12,πœ‡0=𝐴221+βˆšΞ”,πœ‡1=2𝐴2211,πœ†0=2𝐴122,πœ†1=4𝐴2211πœ†,(πΆπ‘Žπ‘ π‘’π‘ƒβˆ’1)0√=2Ξ”,πœ†1πœ†=0,(πΆπ‘Žπ‘ π‘’π‘ƒβˆ’2)2=πœ†0πœ‡0,πœ†3=πœ†1βˆ’πœ†2πœ‡1πœ‡0,πœ†4=1βˆ’π΄10πœ†2𝐴1βˆ’10βˆ’12πœ†2ξ‚Ά,πœ†5=βˆ’π΄10πœ†3𝐴1βˆ’10ξ€Έπœ†βˆ’12ξ€Έ,πœ‡4=1βˆ’π‘Ž10πœ†2ξ‚΅π‘Ž1βˆ’10βˆ’12πœ†2ξ‚Ά,πœ‡5=βˆ’π‘Ž10πœ†3ξ€·ξ€·π‘Ž1βˆ’10ξ€Έπœ†βˆ’12ξ€Έ,𝐹10=π‘Ž12ξ€·5𝐴22βˆ’12𝐴4+12𝐴2𝐴122ξ€Έπœ‡4,𝐹11=2π‘Ž12ξ€Ίβˆ’6𝐴5+6𝐴3𝐴122+𝐴2ξ€·5𝐴3+12𝐴2211πœ‡ξ€Έξ€»4+ξ‚΅π‘Ž13π‘Ž12+πœ‡5πœ‡4𝐹10,𝑄0=36𝛼𝐴2𝐴12πœ†4,𝑄1𝐴=36𝛼3𝐴12πœ†4+𝐴2𝐴13πœ†4+𝐴2𝐴12πœ†5ξ€Έ,𝐹00=π‘Ž12𝐴022𝐴22+6𝐴4βˆ’72𝛼𝐴011ξ€Έπœ‡4,𝐹01=2π‘Ž12𝐴022𝐴2𝐴3+3𝐴5βˆ’36𝛼𝐴111ξ€Έπœ‡4+ξƒ©π‘Ž13π‘Ž12+πœ‡5πœ‡4+𝐴122𝐴022ξƒͺ𝐹00,𝑀0=𝐴12πœ†4π‘Ž12πœ‡4𝐹10,𝑀1=𝐴13πœ†4+𝐴12πœ†5π‘Ž12πœ‡4𝐹10+2𝐴12ξ€·βˆ’6𝐴5+6𝐴3𝐴122+5𝐴2𝐴3+12𝐴2𝐴2211ξ€Έπœ†4,𝐡0=𝐹10𝑄0,𝐡1=𝐹11βˆ’π΅0𝑄1𝑄0,𝐡22=βˆ’πΉ3𝛼00𝑀0,𝐡32=βˆ’13𝛼𝑀0𝐹01βˆ’πΉ00𝑀1𝑀0ξ‚Ά,𝐡3=𝐡3𝐡0,𝐡4𝐡=βˆ’2𝐡3,𝐡5=1𝐡3,𝐡6ξ€·π‘Ž=βˆ’12+π‘Ž13𝐡4𝐴022+𝐴122𝐡4+𝐴2211𝐡42πœ‡ξ€Έξ€·4+𝐡4πœ‡5ξ€Έ,𝐡7=βˆ’π΅5ξ€Ίπ‘Ž12𝐴122+2𝐴2211𝐡4ξ€Έπœ‡4+𝐴022+2𝐴122𝐡4+3𝐴2211𝐡24π‘Žξ€Έξ€·13πœ‡4+π‘Ž12πœ‡5ξ€Έ+π‘Ž13𝐡4ξ€·2𝐴022+3𝐴122𝐡4+4𝐴2211𝐡24ξ€Έπœ‡5ξ€»,𝐡8𝐴=3𝛼12+𝐴13𝐡4πœ†ξ€Έξ€·4+𝐡4πœ†5ξ€Έ,𝐡9=βˆ’π΅25ξ€Ίπ‘Ž12𝐴2211πœ‡4+𝐴122+3𝐴2211𝐡4π‘Žξ€Έξ€·13πœ‡4+π‘Ž12πœ‡5ξ€Έ+π‘Ž13𝐴022+3𝐴122𝐡4+6π‘Ž13𝐴2211𝐡24ξ€Έπœ‡5ξ€»,𝐡10=3𝛼𝐡5𝐴13πœ†4+𝐴12πœ†5+2𝐴13𝐡4πœ†5ξ€Έ,𝐡11=βˆ’π΅35ξ€Ίπ‘Ž13𝐴2211πœ‡4+ξ€·π‘Ž13𝐴122+π‘Ž12𝐴2211+4π‘Ž13𝐴2211𝐡4ξ€Έπœ‡5ξ€»,𝐡12=3𝛼𝐴13𝐡25πœ†5,𝐡13=βˆ’π‘Ž13𝐴2211𝐡54πœ‡5,𝑐0=ξ€·π‘Ž12+π‘Ž13𝐡4πœ‡ξ€Έξ€·4+𝐡4πœ‡5ξ€Έ,𝑐1=𝐡5ξ€Ίπ‘Ž13πœ‡4+ξ€·π‘Ž12+2π‘Ž13𝐡4ξ€Έπœ‡5ξ€»,𝑐2=π‘Ž13𝐡25πœ‡5,𝑏0𝐡=βˆ’4𝐡5,𝑏1=1𝐡5,𝑏2=𝐡6+𝑏0𝐡7+𝑏20𝐡9+𝑏30𝐡11+𝑏40𝐡13,𝑏3=𝑏1𝐡7+2𝑏0𝐡9+3𝑏20𝐡11+4𝑏30𝐡13ξ€Έ,𝑏4=𝑏0𝐡8+𝑏20𝐡10+𝑏30𝐡12,𝑏5=𝑏1𝐡8+2𝑏0𝐡10+3𝑏20𝐡12ξ€Έ,𝑐3=𝑐0+𝑏0𝑐1+𝑏20𝑐2,𝑐4=𝑏1𝑐1+2𝑏0𝑐2ξ€Έ.(E.1)