Functional differential equation
A functional differential equation is a differential equation with deviating argument. That is, a functional differential equation is an equation that contains some function and some of its derivatives to different argument values.
Functional differential equations find use in mathematical models that assume a specified behavior or phenomenon depends on the present as well as the past state of a system. In other words, past events explicitly influence future results. For this reason, functional differential equations are used to in many applications rather than ordinary differential equations, in which future behavior only implicitly depends on the past.
Definition
Unlike ordinary differential equations, which contain a function of one variable and its derivatives evaluated with the same input, functional differential equations contain a function and its derivatives evaluated with different input values.- An example of an ordinary differential equation would be
- In comparison, a functional differential equation would be
Examples
where are constants, is some continuous function, and is a scalar. Below is a table with a comparison of several ordinary and functional differential equations.Ordinary differential equation | Functional differential equation | |
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Types of functional differential equations
"Functional differential equation" is the general name for a number of more specific types of differential equations that are used in numerous applications. There are delay differential equations, integro-differential equations, and so on.Differential difference equation
Differential difference equations are functional differential equations in which the argument values are discrete. The general form for functional differential equations of finitely many discrete deviating arguments iswhere and
Differential difference equations are also referred to as retarded, neutral, advanced, and mixed functional differential equations. This classification depends on whether the rate of change of the current state of the system depends on past values, future values, or both.
Delay differential equation
Functional differential equations of retarded type occur when for the equation given above. In other words, this class of functional differential equations depends on the past and present values of the function with delays.A simple example of an retarded functional differential equation is
whereas a more general form for discrete deviating arguments can be written as
Neutral differential equations
Functional differential equations of neutral type, or neutral differential equations occur whenNeutral differential equations depend on past and present values of the function, similarly to retarded differential equations, except it also depends on derivatives with delays. In other words, retarded differential equations do not involve the given function's derivative with delays while neutral differential equations do.
Integro-differential equation
Integro-differential equations of Volterra type are functional differential equations with continuous argument values. Integro-differential equations involve both the integrals and derivatives of some function with respect to its argument.The continuous integro-differential equation for retarded functional differential equations,, can be written as
Application
Functional differential equations have been used in models that determine future behavior of a certain phenomenon determined by the present and the past. Future behavior of phenomena, described by the solutions of ODEs, assumes that behavior is independent of the past. However, there can be many situations that depend on past behavior.FDEs are applicable for models in multiple fields, such as medicine, mechanics, biology, and economics. FDEs have been used in research for heat-transfer, signal processing, evolution of a species, traffic flow and study of epidemics.
Population growth with time lag
Mixing model
Volterra's predator-prey model
Other models using FDEs
Examples of other models that have used FDEs, namely RFDEs, are given below:- Controlled motion of a rigid body
- Periodic motions
- Flip-flop circuit as a NDE
- Model of HIV epidemic
- Math models of sugar quantity in blood
- Evolution equations of single species
- Spread of an infection between two species
- Electrodynamics of moving bodies