System of differential equations
In mathematics, a system of differential equations is a finite set of differential equations. A system can be either linear or non-linear. Also, a system can be either a system of ordinary differential equations or a system of partial differential equations.
Linear system of differential equations
Like any system of equations, a system of linear differential equations is said to be overdetermined if there are more equations than the unknowns. A system of Cauchy–Riemann equations is an example of an overdetermined system.
For an overdetermined system to have a solution, it needs to satisfy the compatibility conditions.[1] For example, consider the system:
Then the necessary conditions for the system to have a solution are:
See also: Cauchy problem and Ehrenpreis's fundamental principle.
Non-linear system of differential equations
![]() | This section needs expansion. You can help by adding to it. (May 2020) |
Perhaps the most famous example of a non-linear system of differential equations is the Navier–Stokes equations. Unlike the linear case, the existence of a solution of a non-system is a difficult problem (cf. Navier–Stokes existence and smoothness.)
See also: h-principle.
Differential system
![]() | This section needs expansion. You can help by adding to it. (May 2020) |
A differential system is a means of studying a system of partial differential equations using geometric ideas such as differential forms and vector fields.
See also: Category:differential systems.
Notes
See also
References
- L. Ehrenpreis, The Universality of the Radon Transform, Oxford Univ. Press, 2003.
- Gromov, M. (1986), Partial differential relations, Springer, ISBN 3-540-12177-3