ORDINARY DIFFERENTIAL EQUATION

In mathematics, an 'ordinary differential equation' (or 'ODE') is a relation that contains functions of only one independent variable, and one or more of its derivatives with respect to that variable.
A simple example is Newton's second law of motion, which leads to the differential equation
:
for the motion of a particle of mass ''m''. In general, the force ''f'' depends upon the position of the particle ''x'', and thus the unknown variable ''x'' appears on both sides of the differential equation, as is indicated in the notation ''f''(''x'').
Ordinary differential equations are to be distinguished from partial differential equations where there are several independent variables involving partial derivatives.
Ordinary differential equations arise in many different contexts including geometry, mechanics, astronomy and population modelling. Many famous mathematicians have studied differential equations and contributed to the field, including Newton, Leibniz, the Bernoulli family, Riccati, Clairaut, d'Alembert and Euler.
Much study has been devoted to the solution of ordinary differential equations.
In the case where the equation is linear, it can be solved by analytical methods. Unfortunately, most of the interesting differential equations are non-linear and, with a few exceptions, cannot be solved exactly. Approximate solutions are arrived at using computer approximations (see numerical ordinary differential equations).

Contents

Definitions

Ordinary differential equation

Solutions

Examples

Reduction to a first order system

Linear ordinary differential equations

Homogeneous equations

Nonhomogeneous equations

Fundamental systems for homogeneous equations with constant coefficients

Theories of ODEs

Singular solutions

Reduction to quadratures

Fuchsian theory

Lie's theory

Sturm-Liouville theory

See also

Bibliography

External links

Definitions

Ordinary differential equation

Let ''y'' be an unknown function
:$y:\; mathbb\{R\}\; o\; mathbb\{R\}$
in ''x'' with $y^\{(i)\}$ the ''i''-th derivative of ''y'', then a function
:$F(x,y,y\text{'},\; dots,\; y^\{(n-1)\})=y^\{(n)\}$
is called an 'ordinary differential equation (ODE)' of 'order' ''n''. For vector valued functions
:$y:\; mathbb\{R\}\; o\; mathbb\{R\}^m$
we call ''F'' a 'system of ordinary differential equations' of 'dimension' ''m''.
When a differential equation of order ''n'' has the form
:$Fleft(x,\; y,\; y\text{'},\; y\text{'}\text{'},\; dots,\; y^\{(n)\}$
ight) = 0
it is called an 'implicit' differential equation whereas the form
:$Fleft(x,\; y,\; y\text{'},\; y\text{'}\text{'},\; dots,\; y^\{(n-1)\}$
ight) = y^{(n)}
is called an 'explicit' differential equation.
A differential equation not depending on ''x'' is called 'autonomous'.
A differential equation is said to be 'linear' if ''F'' can be written as a linear combination of the derivatives of ''y''
:$y^\{(n)\}\; =\; sum\_\{i=1\}^\{n-1\}\; a\_i(x)\; y^\{(i)\}\; +\; r(x)$
with ''a''_''i''(''x'') and ''r''(''x'') continuous functions in ''x''. If ''r''(''x'')=0 then we call the linear differential equation 'homogeneous' otherwise we call it 'inhomogeneous'.

Solutions

Given a differential equation
:$F(x,y,y\text{'},\; dots,\; y^\{(n)\})=0$
a function
:$u:\; I\; subset\; mathbb\{R\}\; o\; mathbb\{R\}$
is called 'solution' or 'integral curve' for ''F'', if ''u'' is ''n''-times differentiable on ''I'', ''F'' is defined for all
:$(x,u,u\text{'},\; dots,\; u^\{(n)\})\; quad\; x\; in\; I$
and
:$F(x,u,u\text{'},\; dots,\; u^\{(n)\})=0\; quad\; x\; in\; I.$
Given two solutions
:$u:\; J\; subset\; mathbb\{R\}\; o\; mathbb\{R\}$
and
:$v:\; I\; subset\; mathbb\{R\}\; o\; mathbb\{R\}$
''u'' is called 'extension' of a ''v'' if ''I'' ⊂ ''J'' and
:$u(x)\; =\; v(x)\; quad\; x\; in\; I.,$
A solution which has no extension is called 'global solution'.
A 'general solution' of an ''n''-th order equation is a solution containing $n$ arbitrary variables, corresponding to ''n'' constants of integration. A 'particular solution' is derived from the general solution by setting the constants to particular values. A singular solution is a solution that can't be derived from the general solution.

Examples

Main articles: Examples of differential equations

Reduction to a first order system

Any differential equation of order ''n'' can be written as a system of ''n'' first-order differential equations.
Given an explicit ordinary differential equation of order ''n'' and dimension 1,
:$Fleft(x,\; y,\; y\text{'},\; y\text{'}\text{'},\; dots,\; y^\{(n-1)\}$
ight) = y^{(n)}
we define a new family of unknown functions
:$y\_n\; :=\; y^\{(n-1)\}.!$
We can then rewrite the original differential equation as a system of differential equations with order 1 and dimension ''n''.
:$y\_1^\text{'}\; =\; y\_2$
:
:$y\_n^\text{'}\; =\; F(y\_n,\; dots,\; y\_1,\; x).$
which can be written concisely in vector notation as
:$mathbf\{y\}^\text{'}=mathbf\{F\}(mathbf\{y\},\; x)$
with
:$mathbf\{y\}:=(y,ldots,y\_n).$

Linear ordinary differential equations

Main articles: Linear differential equation

A well understood particular class of differential equations are linear differential equations. We can always reduce an explicit linear differential equation of any order to a system of differential equation of order 1
:$y\_i\text{'}(x)\; =\; sum\_\{j=1\}^n\; a\_\{i,j\}(x)\; y\_j\; +\; b\_i(x)\; ,\; mathrm\{,\}\; quad\; i\; =\; 1,ldots,n$
which we can write concisely using vector notation as
:$mathbf\{y\}^\text{'}(x)\; =\; mathbf\{A\}(x)\; mathbf\{y\}(x)\; +\; mathbf\{b\}(x)$
with
:$mathbf\{y\}(x):=(y\_1(x),ldots,y\_n(x))$
:$mathbf\{b\}(x):=(b\_1(x),ldots,b\_n(x))$
:$mathbf\{A\}(x):=(a\_\{i,j\}(x))\; ,\; mathrm\{,\}\; quad\; i,j\; =\; 1,ldots,n.$

Homogeneous equations

The set of solutions for a system of homogeneous linear differential equations of order 1 and dimension ''n''
:$mathbf\{y\}^\text{'}(x)\; =\; mathbf\{A\}(x)\; mathbf\{y\}(x)$
forms an ''n''-dimensional vector space. Given a basis for this vector space $mathbf\{z\}\_1(x),\; ldots,\; mathbf\{z\}\_n(x)$, which is called a 'fundamental system', every solution $mathbf\{s\}(x)$ can be written as
:$mathbf\{s\}(x)\; =\; sum\_\{i=1\}^\{n\}\; c\_i\; mathbf\{z\}\_i(x).$
The ''n'' × ''n'' matrix
:$mathbf\{Z\}(x)\; :=\; (mathbf\{z\}\_1(x),\; ldots,\; mathbf\{z\}\_n(x))$
is called 'fundamental matrix'. In general there is no method to explicitly construct a fundamental system, but if one solution is known d'Alembert reduction can be used to reduce the dimension of the differential equation by one.

Nonhomogeneous equations

The set of solutions for a system of inhomogeneous linear differential equations of order 1 and dimension ''n''
:$mathbf\{y\}^\text{'}(x)\; =\; mathbf\{A\}(x)\; mathbf\{y\}(x)\; +\; mathbf\{b\}(x)$
can be constructed by finding the fundamental system $mathbf\{z\}\_1(x),\; ldots,\; mathbf\{z\}\_n(x)$ to the corresponding homogeneous equation and one particular solution $mathbf\{p\}(x)$ to the inhomogeneous equation. Every solution $mathbf\{s\}(x)$ to inhomogeneous equation can then be written as
:$mathbf\{s\}(x)\; =\; sum\_\{i=1\}^\{n\}\; c\_i\; mathbf\{z\}\_i(x)\; +\; mathbf\{p\}(x).$
A particular solution to the inhomogeneous equation can be found by the method of undetermined coefficients or the method of variation of parameters.

Fundamental systems for homogeneous equations with constant coefficients

For a system of homogeneous linear differential equations with constant coefficients
:$mathbf\{y\}^\text{'}(x)\; =\; mathbf\{A\}\; mathbf\{y\}(x)$
we can explicitly construct a fundamental system. The system can be written as a matrix differential equation
:$mathbf\{Y\}^\text{'}\; =\; mathbf\{A\}\; mathbf\{Y\}$
with solution as a matrix exponential
:$e^\{x\; mathbf\{A\}\}$
which is a fundamental matrix for the original differential equation. To explicitly calculate this expression we first transform 'A' into Jordan normal form
:$e^\{x\; mathbf\{A\}\}\; =\; e^\{x\; mathbf\{C\}^\{-1\}\; mathbf\{J\}\; mathbf\{C\}^\{1\}\}\; =\; mathbf\{C\}^\{-1\}\; e^\{x\; mathbf\{J\}\}\; mathbf\{C\}^\{1\}$
and then evaluate the Jordan blocks
:$J\_i\; =$
egin{bmatrix}
lambda_i & 1 & ; & ; \
; & ddots & ddots & ; \
; & ; & ddots & 1 \
; & ; & ; & lambda_i
end{bmatrix}

of ''J'' separately as
:$e^\{x\; mathbf\{J\_i\}\}\; =\; e^\{lambda\_i\; x\}$
egin{bmatrix}
1 & x & rac{x^2}{2} & dots & rac{x^{n-1}}{(n-1)!} \
; & ddots & ddots & ddots & dots \
; & ; & ddots & ddots & rac{x^2}{2} \
; & ; & ; & ddots & x \
; & ; & ; & ; & 1
end{bmatrix}
.

Theories of ODEs

Singular solutions

The theory of singular solutions of ordinary and partial
differential equations was a subject of research from the time
of Leibniz, but only since the middle of the nineteenth century did it
receive special attention. A valuable but little-known work on the
subject is that of Houtain (1854). Darboux (starting in 1873) was a
leader in the theory, and in the geometric interpretation of these
solutions he opened a field which was worked by various
writers, notably Casorati and Cayley. To the latter is due (1872)
the theory of singular solutions of differential equations of the
first order as accepted circa 1900.

Reduction to quadratures

The primitive attempt in dealing with differential equations had in view a reduction to quadratures. As it had been the hope of eighteenth-century algebraists to find a method for solving the general equation of the $n$th degree, so it was the hope of analysts to find a general method for integrating any differential equation. Gauss (1799) showed, however, that the differential equation meets its limitations very soon unless complex numbers are introduced. Hence analysts began to substitute the study of functions, thus opening a new and fertile field. Cauchy was the first to appreciate the importance of this view. Thereafter the real question was to be, not whether a solution is possible by means of known functions or their integrals, but whether a given differential equation suffices for the definition of a function of the
independent variable or variables, and if so, what are the characteristic properties of this function.

Fuchsian theory

Two memoirs by Fuchs (''Crelle'', 1866, 1868), inspired a novel approach, subsequently elaborated by Thomé and Frobenius. Collet was a prominent contributor beginning in 1869, although his method for integrating a
non-linear system was communicated to Bertrand in 1868. Clebsch (1873) attacked
the theory along lines parallel to those followed in his theory of
Abelian integrals. As the latter can be classified according to the
properties of the fundamental curve which remains unchanged under a
rational transformation, so Clebsch proposed to classify the
transcendent functions defined by the differential equations
according to the invariant properties of the corresponding surfaces
''f'' = 0 under rational one-to-one transformations.

Lie's theory

From 1870 Lie's work put the theory of differential equations
on a more satisfactory foundation. He showed that the integration
theories of the older mathematicians can, by the introduction of what are now called Lie groups, be referred to a common source; and that
ordinary differential equations which admit the same infinitesimal transformations present comparable difficulties of integration. He
also emphasized the subject of transformations of contact
(''Berührungstransformationen'').

Sturm-Liouville theory

Sturm-Liouville theory is a general method for resolution of second order linear equations with variable coefficients.

See also

★ Differential equations from outside physics

★ Difference equation

★ Laplace transform applied to differential equations

★ Boundary value problem

★ List of dynamical systems and differential equations topics

Bibliography

★ A. D. Polyanin and V. F. Zaitsev, ''Handbook of Exact Solutions for Ordinary Differential Equations (2nd edition)", Chapman & Hall/CRC Press, Boca Raton, 2003. ISBN 1-58488-297-2

★ A. D. Polyanin, V. F. Zaitsev, and A. Moussiaux, Handbook of First Order Partial Differential Equations'', Taylor & Francis, London, 2002. ISBN 0-415-27267-X

★ D. Zwillinger, ''Handbook of Differential Equations (3rd edition)'', Academic Press, Boston, 1997.

★ Hartman, Philip, ''Ordinary Differential Equations, 2nd Ed.'', Society for Industrial & Applied Math, 2002. ISBN 0-89871-510-5.

★ W. Johnson, ''A Treatise on Ordinary and Partial Differential Equations'', John Wiley and Sons, 1913, in University of Michigan Historical Math Collection

★ E.L. Ince, ''Ordinary Differential Equations'', Dover Publications, 1958, ISBN 0486603490

★ Witold Hurewicz, ''Lectures on Ordinary Differential Equations'', Dover Publications, ISBN 0-486-49510-8

External links

★ (includes a list of software for solving differential equations).

★ EqWorld: The World of Mathematical Equations, containing a list of ordinary differential equations with their solutions.

★ Online Notes / Differential Equations by Paul Dawkins, Lamar University.

★ Differential Equations, S.O.S. Mathematics.

★ A primer on analytical solution of differential equations from the Holistic Numerical Methods Institute, University of South Florida.