Analytic Approximate Solution in the Neighborhood of a Moving Singular Point of a Class of Nonlinear Equations

: The paper considers a class of nonlinear differential equations which are not solvable in quadratures in general case. The author’s technology for solving such equations contains six problems. In this article, the solution to one of these problems is given, a real area in which it is possible to calculate an analytical approximate solution in the case of an approximate value of a moving singular point is obtained. Obtained results are based on the application of elements of differential calculus in ﬁnding estimates for the approximate solution error. Theoretical provisions are conﬁrmed by numerical calculations, which characterize their reliability.


Introduction
In solving many technical problems, researchers come up with various differential equations, both linear and non-linear.In the case of linear equations, there are no problems, but in the case of nonlinear differential equations, some aspects of this class of equations have to be taken into account, for example, the presence of moving singular points, which is a sufficient condition for the impossibility of solving these equations in quadratures.Note that all currently known classical, analytical and numerical methods are not fit to solve this type of equations.This situation pushes the development of research towards methods able to solve similar classes of equations.
Such equations emerge, for example, when studying wave processes in elastic beams or rods [1,2], or when observing breaking forces in building structures [3].There are publications on the solvability of such equations in particular cases [4][5][6][7][8][9][10][11], the development of the author's method in [12][13][14] and the asymptotic approach [15,16].It should be noted that the asymptotic approach does not allow obtaining the results presented in this study.In this paper, we continue the study of the considered class of equations presented in [17][18][19], where at the first stage the problem of the uniqueness of the solution of the considered equation for a neighborhood of a moving singular point is solved.Then, an analytical approximate solution is obtained, and a-priori error estimates are proven.Further, the results of the influence of the perturbation of a moving singular point on the analytical approximate solution are obtained.In the course of these studies of the above stages, we observe a significant decrease in the area where it is possible to carry out calculations for an analytical approximate solution.In the present work, by applying the elements of differential calculus in estimating the error, it is possible to significantly expand this area.This fact is the novelty of this study.Obtained theoretical positions are confirmed by numerical experiments.

Research Methods
For the classical Cauchy problem in [17], an analytical approximate solution was constructed for a neighborhood of a moving singular point in the way as follows Since the currently existing methods allow to calculate the value of the moving singular point approximately, instead of (3) we obtain a new structure of the solution: where Cn are the perturbed values of the coefficients.
When estimating the error of solution (4) in [19], we note the narrowing of the domain for solution (4) in comparison with the existence theorem in [17].Applying an element of differential calculus in estimating the error of solution (4), it is possible to significantly approach the area in [17], but for an approximate solution (4).Theorem 1.We require the following conditions to be met: x * ≤ x * ; 4.
The following estimate is made for x * : In this case, the approximate solution (4) of problem (1)-(2) has the following error estimate where for the variant N + 1 = 3k + 1 , and where Proof.Based on the classical approach, we have: Let us estimate the expression |y(x) − ỹ(x)| using differential calculus methods [20]: We go ahead to analyze the expression: Taking into account the expansion of the function r(x) into a regular series, according to the condition of the theorem, r(x) = ∞ ∑ n=0 A n (x − x * ) n , we can note down in the general case as Cn the way Cn = Cn (A 0 , A 1 , . . . ,A m ) .We remind you of the estimates for Cn [17]: .
As well as estimates for ∆ Cn [19]: . Now let us estimate the expression sup U Cn by taking into account the recurrence relations given in [17], and performing a series of transformations; we will obtain: where as well as we obtain an estimate as follows for Thus, we obtain the result For the estimate ∆ 1 , let us use the Theorem 2 in [17]: For the variant N + 1 = 3k + 1, and Data are fair in the domain Then, we proceed to the estimates for ∆ 2 : Let us consider the case of fractional powers, taking into account the regularity of estimates for ∆ Cn and obtained estimates sup The situation is similar for the case of integer degrees ∆ 22 : Thus, we obtain the final expression for the estimate ∆ 2 : It remains to show the validity of the estimate ∆ 3 : After transformations, we obtain an estimate for ∆ 3 : The estimates ∆ 2 and ∆ 3 work in the domain Finally, we obtain the domain

Discussion of Results
Example 1.Let us calculate the Cauchy problem (1)-(2), with the conditions r(x) = 0, y(0) = 0.998, y (0) = 0.998, y (0) = 0.998, x * = 0.93157, and ∆ x * = 0.0002.We consider the problem (1)-(2) which, under these conditions, is not solvable in quadratures.Applying the obtained results, we calculate the approximate solution (4) for N = 9 to notify the argument x 1 by taking into account the domain F = F 1 ∩ F 2 ∩ F 3 , to which the theorem [19] may be applied ρ = 0.015625 (a designation accepted in [19]).The calculation results are presented in Table 1.Where ỹ9 (x 1 ) is an analytical approximate solution (4), ∆ 1 is an error estimate obtained according to the work [19], ∆ 2 is an error estimate obtained in this paper; ∆ 3 is an a-posteriori estimate for the solution (4).In the case of ∆ 3 = 0.0005, the proven theorem requires N = 14.The terms from 10 to 14 in the total do not affect the accuracy of the result-ε = 0.0005; this means that, when N = 9 we obtain ỹ9 (x 1 ) with accuracy ε = 0.0005.It should be noted that the a-priori estimates in this paper and in [19] are of the same order.
Example 2. Consider the Cauchy problem (1)-(2), with the conditions such as r(x) = 0, y(0) = 0.998, y (0) = 0.998, y (0) = 0.998, x * = 0.93157, and ∆ x * = 0.0002.We consider the value that satisfies the conditions of this theorem, located in the region F = F 1 ∩ F 2 ∩ F 3 -ρ 2 = 0.015355, x 2 = 0.9163, but not falling under the results of the theorem in [19].The calculation results are presented in Table 2.Where ỹ9 (x 2 ) is an approximate solution (4); ∆ 1 is an error estimate, obtained in this paper; and ∆ 2 is an a-posteriori solution error estimate (4).For the variant ∆ 2 = 0.0009, according to the theorem proven in the paper, it turns out that N = 13.Terms from 10 to 13 do not affect the accuracy of calculations completed ε = 0.0009.This means that when N = 9, the obtained result with the value ỹ9 (x 2 ) has an accuracy of ε = 0.0009.

Conclusions
The author's approach to the method of analytical approximate solution finds further development of the example of the considered class of nonlinear equations.The article proves the error estimate for the analytical approximate solution of the considered equation with moving singular points.Conducted studies allow to substantially approach the region obtained in [17] in proving the uniqueness of the solution of the nonlinear equation under consideration.The exact boundaries of the area of application of the approximate solution in the neighborhood of the approximate value of the moving singular point were obtained.The presented studies were confirmed by numerical experiments.

Table 1 .
Characteristics of the approximate solution.

Table 2 .
Characteristics of the approximate solution according to the theory of this article.