diffrential equations wikipedia
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Differential equation 1
Differential equation
Visualization of heat transfer in a pump casing, created by solving the heat equation. Heat
is being generated internally in the casing and being cooled at the boundary, providing a
steady state temperature distribution.
A differential equation is a
mathematical equation for an unknown
function of one or several variables
that relates the values of the function
itself and its derivatives of various
orders. Differential equations play a
prominent role in engineering, physics,
economics, and other disciplines.
Differential equations arise in many
areas of science and technology,
specifically whenever a deterministic
relation involving some continuously
varying quantities (modeled byfunctions) and their rates of change in
space and/or time (expressed as
derivatives) is known or postulated.
This is illustrated in classical
mechanics, where the motion of a body
is described by its position and
velocity as the time value varies. Newton's laws allow one (given the position, velocity, acceleration and various
forces acting on the body) to express these variables dynamically as a differential equation for the unknown position
of the body as a function of time. In some cases, this differential equation (called an equation of motion) may be
solved explicitly.
An example of modelling a real world problem using differential equations is the determination of the velocity of a
ball falling through the air, considering only gravity and air resistance. The ball's acceleration towards the ground is
the acceleration due to gravity minus the deceleration due to air resistance. Gravity is considered constant, and air
resistance may be modeled as proportional to the ball's velocity. This means that the ball's acceleration, which is the
derivative of its velocity, depends on the velocity. Finding the velocity as a function of time involves solving a
differential equation.
Differential equations are mathematically studied from several different perspectives, mostly concerned with their
solutions the set of functions that satisfy the equation. Only the simplest differential equations admit solutions
given by explicit formulas; however, some properties of solutions of a given differential equation may be determinedwithout finding their exact form. If a self-contained formula for the solution is not available, the solution may be
numerically approximated using computers. The theory of dynamical systems puts emphasis on qualitative analysis
of systems described by differential equations, while many numerical methods have been developed to determine
solutions with a given degree of accuracy.
Directions of study
The study of differential equations is a wide field in pure and applied mathematics, physics, meteorology, and
engineering. All of these disciplines are concerned with the properties of differential equations of various types. Pure
mathematics focuses on the existence and uniqueness of solutions, while applied mathematics emphasizes the
rigorous justification of the methods for approximating solutions. Differential equations play an important role in
modelling virtually every physical, technical, or biological process, from celestial motion, to bridge design, to
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Differential equation 2
interactions between neurons. Differential equations such as those used to solve real-life problems may not
necessarily be directly solvable, i.e. do not have closed form solutions. Instead, solutions can be approximated using
numerical methods.
Mathematicians also study weak solutions (relying on weak derivatives), which are types of solutions that do not
have to be differentiable everywhere. This extension is often necessary for solutions to exist, and it also results in
more physically reasonable properties of solutions, such as possible presence of shocks for equations of hyperbolictype.
The study of the stability of solutions of differential equations is known as stability theory.
Nomenclature
The theory of differential equations is quite developed and the methods used to study them vary significantly with
the type of the equation.
An ordinary differential equation (ODE) is a differential equation in which the unknown function (also known as
the dependent variable) is a function of a single independent variable. In the simplest form, the unknown
function is a real or complex valued function, but more generally, it may be vector-valued or matrix-valued: thiscorresponds to considering a system of ordinary differential equations for a single function.
Ordinary differential equations are further classified according to the order of the highest derivative of the
dependent variable with respect to the independent variable appearing in the equation. The most important cases
for applications are first-order and second-order differential equations. For example, Bessel's differential
equation
(in which is the dependent variable) is a second-order differential equation. In the classical literature also
distinction is made between differential equations explicitly solved with respect to the highest derivative and
differential equations in an implicit form.
A partial differential equation (PDE) is a differential equation in which the unknown function is a function of
multiple independent variables and the equation involves its partial derivatives. The order is defined similarly to
the case of ordinary differential equations, but further classification into elliptic, hyperbolic, and parabolic
equations, especially for second-order linear equations, is of utmost importance. Some partial differential
equations do not fall into any of these categories over the whole domain of the independent variables and they are
said to be ofmixed type.
Both ordinary and partial differential equations are broadly classified as linear and nonlinear. A differential
equation is linear if the unknown function and its derivatives appear to the power 1 (products are not allowed) and
nonlinear otherwise. The characteristic property of linear equations is that their solutions form an affine subspace ofan appropriate function space, which results in much more developed theory of linear differential equations.
Homogeneous linear differential equations are a further subclass for which the space of solutions is a linear
subspace i.e. the sum of any set of solutions or multiples of solutions is also a solution. The coefficients of the
unknown function and its derivatives in a linear differential equation are allowed to be (known) functions of the
independent variable or variables; if these coefficients are constants then one speaks of a constant coefficient linear
differential equation.
There are very few methods of explicitly solving nonlinear differential equations; those that are known typically
depend on the equation having particular symmetries. Nonlinear differential equations can exhibit very complicated
behavior over extended time intervals, characteristic of chaos. Even the fundamental questions of existence,
uniqueness, and extendability of solutions for nonlinear differential equations, and well-posedness of initial and
boundary value problems for nonlinear PDEs are hard problems and their resolution in special cases is considered to
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Differential equation 3
be a significant advance in the mathematical theory (cf. NavierStokes existence and smoothness).
Linear differential equations frequently appear as approximations to nonlinear equations. These approximations are
only valid under restricted conditions. For example, the harmonic oscillator equation is an approximation to the
nonlinear pendulum equation that is valid for small amplitude oscillations (see below).
Classification summaryThe mathematical definitions for the various classifications of differential equation can be collected as follows.
Ordinary DE classification
See main article: Ordinary differential equation.
In the table below,
All differential equations are ofordern and arbitrary degreed.
F is an implicit function of: an independent variable x, a dependent variable y (a function ofx), and integer
derivatives ofy (fractional derivatives are in fact possible, but not considered here).
y may in general be a vector valued function:
sox is an element of the vector space R, y an element of a vector space of dimension m, , where
R is the set of real numbers, is the cartesian product ofR with itselfm times to form
an m-tuple of real numbers.
This leads to a system of differential equations to be solved fory1,y
2,...y
m.
y is characterized by the function mapping .
r(x) is called a source term inx, andA(x) is an arbitrary function, both assumed continuous inx on defined intervals.
Characteristic Properties Differential equation
Implicit system of dimension m
Explicit system of dimension m
Autonomous: Nox dependence
Linear: nth derivative can be written
as a linear combination of the other
derivatives
Homogeneous: Source term is zero
Notice the mapping from or corresponds to the map fromx, y, and the n or (n-1) derivatives of
y to the solution, in general implicit.
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Differential equation 4
Examples
In the first group of examples, let u be an unknown function ofx, and c and are known constants.
Inhomogeneous first-order linear constant coefficient ordinary differential equation:
Homogeneous second-order linear ordinary differential equation:
Homogeneous second-order linear constant coefficient ordinary differential equation describing the harmonic
oscillator:
Inhomogeneous first-order nonlinear ordinary differential equation:
Second-order nonlinear ordinary differential equation describing the motion of a pendulum of lengthL:
In the next group of examples, the unknown function u depends on two variablesx and torx andy.
Homogeneous first-order linear partial differential equation:
Homogeneous second-order linear constant coefficient partial differential equation of elliptic type, the Laplace
equation:
Third-order nonlinear partial differential equation, the Kortewegde Vries equation:
Related concepts
A delay differential equation (DDE) is an equation for a function of a single variable, usually called time, in
which the derivative of the function at a certain time is given in terms of the values of the function at earliertimes.
A stochastic differential equation (SDE) is an equation in which the unknown quantity is a stochastic process and
the equation involves some known stochastic processes, for example, the Wiener process in the case of diffusion
equations.
A differential algebraic equation (DAE) is a differential equation comprising differential and algebraic terms,
given in implicit form.
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Differential equation 5
Connection to difference equations
The theory of differential equations is closely related to the theory of difference equations, in which the coordinates
assume only discrete values, and the relationship involves values of the unknown function or functions and values at
nearby coordinates. Many methods to compute numerical solutions of differential equations or study the properties
of differential equations involve approximation of the solution of a differential equation by the solution of a
corresponding difference equation.
Universality of mathematical description
Many fundamental laws of physics and chemistry can be formulated as differential equations. In biology and
economics, differential equations are used to model the behavior of complex systems. The mathematical theory of
differential equations first developed together with the sciences where the equations had originated and where the
results found application. However, diverse problems, sometimes originating in quite distinct scientific fields, may
give rise to identical differential equations. Whenever this happens, mathematical theory behind the equations can be
viewed as a unifying principle behind diverse phenomena. As an example, consider propagation of light and sound in
the atmosphere, and of waves on the surface of a pond. All of them may be described by the same second-orderpartial differential equation, the wave equation, which allows us to think of light and sound as forms of waves, much
like familiar waves in the water. Conduction of heat, the theory of which was developed by Joseph Fourier, is
governed by another second-order partial differential equation, the heat equation. It turned out that many diffusion
processes, while seemingly different, are described by the same equation; BlackScholes equation in finance is for
instance, related to the heat equation.
Exact solutions
Some differential equations have solutions which can be written in an exact and closed form. Several important
classes are given here.
In the table below,H(x),Z(x),H(y),Z(y), orH(x,y),Z(x,y) are any integrable functions ofx ory (or both), andA,B,
C,I,L,N,Mare all constants. In general A,B, C,I,L, are real numbers, but N,M,P and Q may be complex. The
differential equations are in their equivalent and alternative forms which lead to the solution through integration.
Differential equation General solution
1
2
3
4
where
5
solution may be implicit inx andy, obtained by calculating above integral then using
back-substituting
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Differential equation 6
6
7If DE is exact so that
then the solution is:
where and are constant functions from the integrals rather than constant values, which are
set to make the final function hold.
If DE is not exact, the functionsH(x,y) orZ(x,y) may be used to obtain an integrating factor, the DE is
then multiplied through by that factor and the solution proceeds the same way.
8 If
then
If
then
If
then
9
where are the dsolutions of the polynomial of degree d:
Note that 3 and 4 are special cases of 7, they are relatively common cases and included for completeness.
Similarly 8 is a special case of 9, but 8 is a relatively common form, particularly in simple physical and engineering
problems.
Notable differential equations
Physics and engineering
Newton's Second Law in dynamics (mechanics)
Hamilton's equations in classical mechanics
Radioactive decay in nuclear physics
Newton's law of cooling in thermodynamics
The wave equation Maxwell's equations in electromagnetism
The heat equation in thermodynamics
Laplace's equation, which defines harmonic functions
Poisson's equation
Einstein's field equation in general relativity
The Schrdinger equation in quantum mechanics
The geodesic equation
The NavierStokes equations in fluid dynamics
The CauchyRiemann equations in complex analysis
The Poisson
Boltzmann equation in molecular dynamics The shallow water equations
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Differential equation 8
References
[1] http://www.hti. umich.edu/cgi/b/bib/bibperm?q1=abv5010.0001.001
[2] http://hti.umich. edu/u/umhistmath/
[3] http://ocw.mit.edu/courses/mathematics/18-03-differential-equations-spring-2010/video-lectures/
[4] http://tutorial.math. lamar.edu/classes/de/de. aspx
[5] http://www.sosmath.com/diffeq/diffeq.html
[6] http://publicliterature.org/tools/differential_equation_solver/[7] http://user.mendelu. cz/marik/maw/index. php?lang=en&form=ode
[8] http://eqworld.ipmnet.ru/en/solutions/ode. htm
[9] http://www.hedengren. net/research/models. htm
[10] http://www.jirka.org/diffyqs/
http://www.jirka.org/diffyqs/http://www.hedengren.net/research/models.htmhttp://eqworld.ipmnet.ru/en/solutions/ode.htmhttp://user.mendelu.cz/marik/maw/index.php?lang=en&form=odehttp://publicliterature.org/tools/differential_equation_solver/http://www.sosmath.com/diffeq/diffeq.htmlhttp://tutorial.math.lamar.edu/classes/de/de.aspxhttp://ocw.mit.edu/courses/mathematics/18-03-differential-equations-spring-2010/video-lectures/http://hti.umich.edu/u/umhistmath/http://www.hti.umich.edu/cgi/b/bib/bibperm?q1=abv5010.0001.001 -
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