Research Article | Open Access

A. Kirichuka, F. Sadyrbaev, "Multiple Positive Solutions for the Dirichlet Boundary Value Problems by Phase Plane Analysis", *Abstract and Applied Analysis*, vol. 2015, Article ID 302185, 6 pages, 2015. https://doi.org/10.1155/2015/302185

# Multiple Positive Solutions for the Dirichlet Boundary Value Problems by Phase Plane Analysis

**Academic Editor:**Jaume Giné

#### Abstract

We consider boundary value problems for scalar differential equation , , , where is a seventh-degree polynomial and is a parameter. We use the phase plane method combined with evaluations of time-map functions and make conclusions on the number of positive solutions. Bifurcation diagrams are constructed and examples are considered illustrating the bifurcation processes.

#### 1. Introduction

Nonlinear boundary value problems for ordinary differential equations still form rapidly developed branch of classical analysis. The traditional issues like existence of solutions, uniqueness, and continuous dependence on boundary data are discussed in a number of classical and modern sources [1, 2]. Less studied are complicated problems of the number of solutions as well as of their dependence on parameters. Of special value are results on existence of positive solutions due to multiple applications. We mention here the works [3–7], where two-point boundary value problems with parameters were considered for the second-order ordinary differential equations. The problem of finding multiple positive solutions was treated in [8]. Nonlinearities of polynomial type were considered in [9]. The time-map technique was applied for investigation of similar problems in [10].

Our goal in this note is to demonstrate how elementary phase plane analysis combined with evaluations of time-map functions can provide the researchers with significant information on the number and properties of solutions. We have chosen problemwhere is a seventh-degree polynomial. Our technique is based on a phase plane analysis. To find positive solutions we will use the first zero function (the so called time-map function). By the first zero function we mean the mapping , where is the first zero on the right of a solution of the Cauchy problem

The paper [11] discusses the cases of being third- and fifth-degree polynomials. It was observed that problem (1) may have, respectively, three or five positive solutions. We focus on the case of being seventh-degree polynomial.

In Section 2, we provide basic facts about first zero functions. In Section 3, we formulate proposition about number of positive solutions for the Dirichlet boundary value problem. The example in Section 4 provides the detailed description of the respective time-map functions, solutions, and bifurcation diagrams. In the final section, we summarize the results and make conclusions.

#### 2. Basic Facts about Time-Map Function

Consider differential equationIf is a solution of (3) with the initial conditions then we denote by the first zero function (time-map) for Cauchy problem (3), (4).

Consider the problem with a parameterand denote the first zero function .

The relation between these two time-map functions was established previously [11, 12]:If is a solution of the Cauchy problem (3), (4), thensolves the initial value problem (5). For details consult [12].

#### 3. Nonlinearity with Seventh-Degree Polynomial

In the sequel, we consider the problem with the seventh-degree polynomial as follows:wherewith the Dirichlet conditions

Let function be the primitive function of and let the conditionsbe fulfilled.

Let us consider phase plane for (8). The value of the first zero function at is the time needed to move from a point to the first intersection point with the -axis. Denote by a solution of the Cauchy problem (5). A set of such that solves the Dirichlet problem (8), (10) will be called* a solution curve*. All such satisfy the equality

The phase portrait for (8) has 7 critical points; 3 of them are the points of type “center" and 4 are points of type “saddle”: , , , and .

Consider equation

Suppose that , , , and are initial values such that trajectories enter the saddle points (as in Figure 1).

Part of the phase portrait for (14) has the form shown in Figure 1.

We will look now for solutions of the Dirichlet problem (14), (10) choosing the initial conditions in one of the four intervals separately , , , .

We note that phase portraits of (8) and (14) are equivalent (critical points are the same and trajectories are in one-to-one correspondence due to formula (7)). If we change then the initial values for trajectories entering saddle points change also as .

Proposition 1. *For any , there exists such that , where is the time-map function for (14).*

*Proof. *Let be a solution which goes to the saddle point at . Consider solutions for where is the time needed for a point to move along phase trajectory from point to point . tends to zero as goes to zero (since is not a critical point) and tends to as goes to . By continuity of there exists such that .

Proposition 2. *For the first zero function of (14) in each of the intervals , , and there exist , , respectively.*

*Proof. *Consider solutions for where is the time needed for a point to move along phase trajectory from point to point . Then tends to as goes to and tends to as goes to . Function is continuous since the right side of (14) is a polynomial and there is continuous dependence of solutions on initial data. Therefore, there is a minimum of in at some and, in this case also, the time function has a “U” shaped graph, similarly to and .

*Remark 3. *The graph of the time-map function has U-shaped segments and the number of positive solutions may be one, two, or more solutions depending on whether the graph of has one, two, or more intersections with the unity level (the unity refers to the length of the interval).

Proposition 4. *There exists such that the Dirichlet problem (8), (10) has at least seven solutions.*

*Proof. *It follows from Propositions 1 and 2 and formula (6), where is the time-map function for equation and is given in (9).

*Remark 5. *The relative positions of , , do not change if tends to . This follows from (6).

*Remark 6. *Precise number of solutions of problem (8), (10) depends on convexity of time-map function with respect to and this can be checked using criteria for and as in [13].

#### 4. Examples

##### 4.1. Example 1

Consider equationThe phase portrait of (15) has 7 critical points; 3 of them are points of type “center” and 4 are points of type “saddle”: , , , and (see Figure 2).

ThenThe condition is fulfilled (see Figure 3).

Next we bring all the time-maps together and as a result get the bifurcation diagram in Figure 4.

The graphs of for seven values of are depicted in Figures 5–18.

##### 4.2. Example 2

Consider equationThe 012B phase portrait of (18) has 7 critical points; 3 of them are the points of type “center" and 4 are points of type “saddle”: , , , and . The structure of the phase portrait for (18) is the same as that for (15).

Then

The condition for the saddle pointsis fulfilled also.

If we look at the bifurcation diagram in Figure 19, we see that there is no such value where at some the Dirichlet problem (18), (10) has seven solution because the difference between minimum values of the time-map function is large enough.

#### 5. Conclusions

For a polynomial of the type (9) but with arbitrary large odd number of zeros in presence of the condition ( are the zeros) there always exists large enough such that the respective boundary value problem (1) has at least positive solutions.

If is not large then in presence of the condition the number of solutions of the boundary value problem (1) depends on the relative positions of minima of the first zero function (time-map) . These relative positions may be regulated by the choice of parameters .

#### Conflict of Interests

The authors declare that there is no conflict of interests regarding the publication of this paper.

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#### Copyright

Copyright © 2015 A. Kirichuka and F. Sadyrbaev. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.