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Qingkai Kong - A Short Course in Ordinary Differential Equations

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Qingkai Kong A Short Course in Ordinary Differential Equations
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This text is a rigorous treatment of the basic qualitative theory of ordinary differential equations, at the beginning graduate level. Designed as a flexible one-semester course but offering enough material for two semesters, A Short Course covers core topics such as initial value problems, linear differential equations, Lyapunov stability, dynamical systems and the PoincarBendixson theorem, and bifurcation theory, and second-order topics including oscillation theory, boundary value problems, and SturmLiouville problems. The presentation is clear and easy-to-understand, with figures and copious examples illustrating the meaning of and motivation behind definitions, hypotheses, and general theorems. A thoughtfully conceived selection of exercises together with answers and hints reinforce the readers understanding of the material. Prerequisites are limited to advanced calculus and the elementary theory of differential equations and linear algebra, making the text suitable for senior undergraduates as well.

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Springer International Publishing Switzerland 2014
Qingkai Kong A Short Course in Ordinary Differential Equations Universitext 10.1007/978-3-319-11239-8_1
1. Initial Value Problems
Qingkai Kong 1
(1)
Department of Mathematical Sciences, Northern Illinois University, DeKalb, IL, USA
1.1 Introduction
As you have learned from an elementary differential equations course, a differential equation, more precisely an ordinary differential equation, is an equation for an unknown function of a single variable which involves certain derivatives of the unknown function. The order of the highest derivative of the unknown function appearing in the equation is called the order of the differential equation. Based on this, n th-order scalar differential equations have the general form
111 where F is a function of n 2 variables If F satisfies certain - photo 1
(1.1.1)
where F is a function of n + 2 variables. If F satisfies certain conditions, then Eq. () can be written into the standard form
112 where f is a function of n 1 variables A solution of Eq if it - photo 2
(1.1.2)
where f is a function of n + 1 variables. A solution of Eq. (), if it exists, is a solution that contains n arbitrary constants Picture 3 . Under certain assumptions on the function F or f , the values of can be uniquely determined for a particular solution by n initial conditions - photo 4 can be uniquely determined for a particular solution by n initial conditions (ICs) defined at a single point (initial point) t 0:
A Short Course in Ordinary Differential Equations - image 5
(1.1.3)
where A Short Course in Ordinary Differential Equations - image 6 . The problem consisting of Eq. () is called an initial value problem (IVP) .
The above concepts for scalar differential equations and IVPs can be extended to vector-valued differential equations and IVPs. For instance, the standard form of first-order systems of differential equations is
A Short Course in Ordinary Differential Equations - image 7
(1.1.4)
where A Short Course in Ordinary Differential Equations - image 8 and A Short Course in Ordinary Differential Equations - image 9 . A solution of system (), if it exists, is a solution that contains n arbitrary constants Under certain assumptions on the function f the values of can be uniquely - photo 10 . Under certain assumptions on the function f , the values of A Short Course in Ordinary Differential Equations - image 11 can be uniquely determined for a particular solution by n ICs
A Short Course in Ordinary Differential Equations - image 12
(1.1.5)
where A Short Course in Ordinary Differential Equations - image 13 and A Short Course in Ordinary Differential Equations - image 14 . The problem consisting of system () is an IVP.
We comment that any standard scalar or vector-valued differential equation or IVP can be changed to a first-order system of differential equations or IVP. For example, if we let
then Eq becomes the system of differential equations and IC Under what - photo 15
then Eq. () becomes the system of differential equations
and IC Under what conditions does IVP have a unique solution Before - photo 16
and IC ().
Under what conditions does IVP () have a unique solution? Before answering this question, lets look at the following examples of scalar IVPs.
Example 1.1.1.
Consider the IVP
A Short Course in Ordinary Differential Equations - image 17
(1.1.6)
By solving the problem we see that the solution of IVP () is A Short Course in Ordinary Differential Equations - image 18 which exists on the whole real number line A Short Course in Ordinary Differential Equations - image 19 and is unique.
Example 1.1.2.
Consider the IVP
A Short Course in Ordinary Differential Equations - image 20
(1.1.7)
By solving the problem we see that when x 0 0, IVP (.
Fig 11 Solution may not exist on the whole line Example 113 Consider - photo 21
Fig. 1.1
Solution may not exist on the whole line
Example 1.1.3.
Consider the IVP
118 Clearly x 0 is a solution of IVP for t c By combining this - photo 22
(1.1.8)
Clearly, x = 0 is a solution of IVP () for t [ c , ). By combining this solution with the zero solution, we have that for any c > 0
is also a solution of IVP which exists on Similarly for any c lt 0 is - photo 23
is also a solution of IVP () which exists on Similarly for any c lt 0 is also a solution of IVP Fig 12 - photo 24 . Similarly, for any c < 0
is also a solution of IVP Fig 12 Nonunique solutions Example - photo 25
is also a solution of IVP (.
Fig 12 Nonunique solutions Example 114 Consider the IVP 119 We - photo 26
Fig. 1.2
Nonunique solutions
Example 1.1.4.
Consider the IVP
119 We claim that IVP has no solution at all In fact if it had a - photo 27
(1.1.9)
We claim that IVP () has no solution at all. In fact, if it had a solution, then the solution would be x = | t |. However, this function is not differentiable at t = 0. We have reached a contradiction.
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