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In [[mathematics]], in the field of [[ordinary differential equation]]s, the '''Kneser theorem''', named after [[Adolf Kneser]], provides criteria to decide whether a differential equation is [[Oscillation theory|oscillating]] or not. | |||
== Statement of the theorem == | |||
Consider an ordinary linear homogenous differential equation of the form | |||
:<math>y'' + q(x)y = 0\,</math> | |||
with | |||
:<math>q: [0,+\infty) \to \mathbb{R}</math> | |||
[[continuous function|continuous]]. | |||
We say this equation is ''oscillating'' if it has a solution ''y'' with infinitely many zeros, and ''non-oscillating'' otherwise. | |||
The theorem states<ref>{{cite book| last = Teschl| given = Gerald|authorlink=Gerald Teschl| title = Ordinary Differential Equations and Dynamical Systems| publisher=[[American Mathematical Society]]| place = [[Providence, Rhode Island|Providence]]| year = 2012| isbn= 978-0-8218-8328-0| url = http://www.mat.univie.ac.at/~gerald/ftp/book-ode/}}</ref> that the equation is non-oscillating if | |||
:<math>\limsup_{x \to +\infty} x^2 q(x) < \tfrac{1}{4}</math> | |||
and oscillating if | |||
:<math>\liminf_{x \to +\infty} x^2 q(x) > \tfrac{1}{4}.</math> | |||
== Example == | |||
To illustrate the theorem consider | |||
:<math>q(x) = \left(\frac{1}{4} - a\right) x^{-2} \quad\text{for}\quad x > 0</math> | |||
where <math>a</math> is real and non-zero. According to the theorem, solutions will be oscillating or not depending on whether <math>a</math> is positive (non-oscillating) or negative (oscillating) because | |||
:<math>\limsup_{x \to +\infty} x^2 q(x) = \liminf_{x \to +\infty} x^2 q(x) = \frac{1}{4} - a</math> | |||
To find the solutions for this choice of <math>q(x)</math>, and verify the theorem for this example, substitute the 'Ansatz' | |||
:<math>y(x) = x^n \, </math> | |||
which gives | |||
:<math>n(n-1) + \frac{1}{4} - a = \left(n-\frac{1}{2}\right)^2 - a = 0</math> | |||
This means that (for non-zero <math>a</math>) the general solution is | |||
:<math>y(x) = A x^{\frac{1}{2} + \sqrt{a}} + B x^{\frac{1}{2} - \sqrt{a}}</math> | |||
where <math>A</math> and <math>B</math> are arbitrary constants. | |||
It is not hard to see that for positive <math>a</math> the solutions do not oscillate while for negative <math>a = -\omega^2</math> the identity | |||
:<math>x^{\frac{1}{2} \pm i \omega} = \sqrt{x}\ e^{\pm (i\omega) \ln{x}} = \sqrt{x}\ (\cos{(\omega \ln x)} \pm i \sin{(\omega \ln x)})</math> | |||
shows that they do. | |||
The general result follows from this example by the [[Sturm–Picone comparison theorem]]. | |||
==Extensions== | |||
There are many extensions to this result. For a recent account see.<ref>Helge Krüger and Gerald Teschl, ''Effective Prüfer angles and relative oscillation criteria'', J. Diff. Eq. 245 (2008), 3823–3848 [http://dx.doi.org/10.1016/j.jde.2008.06.004]</ref> | |||
==References== | |||
{{reflist}} | |||
{{DEFAULTSORT:Kneser Theorem}} | |||
[[Category:Ordinary differential equations]] | |||
[[Category:Theorems in analysis]] | |||
[[Category:Oscillation]] |
Revision as of 18:37, 21 April 2013
In mathematics, in the field of ordinary differential equations, the Kneser theorem, named after Adolf Kneser, provides criteria to decide whether a differential equation is oscillating or not.
Statement of the theorem
Consider an ordinary linear homogenous differential equation of the form
with
continuous. We say this equation is oscillating if it has a solution y with infinitely many zeros, and non-oscillating otherwise.
The theorem states[1] that the equation is non-oscillating if
and oscillating if
Example
To illustrate the theorem consider
where is real and non-zero. According to the theorem, solutions will be oscillating or not depending on whether is positive (non-oscillating) or negative (oscillating) because
To find the solutions for this choice of , and verify the theorem for this example, substitute the 'Ansatz'
which gives
This means that (for non-zero ) the general solution is
where and are arbitrary constants.
It is not hard to see that for positive the solutions do not oscillate while for negative the identity
shows that they do.
The general result follows from this example by the Sturm–Picone comparison theorem.
Extensions
There are many extensions to this result. For a recent account see.[2]
References
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