Coercive function
In mathematics, a coercive function is a function that "grows rapidly" at the extremes of the space on which it is defined. More precisely, a function f : Rn → Rn is called coercive if
where "" denotes the usual dot product and denotes the usual Euclidean norm of the vector x.
More generally, a function f : X → Y between two topological spaces X and Y is called coercive if for every compact subset J of Y there exists a compact subset K of X such that
Coercive operators and forms
A self-adjoint operator where is a real Hilbert space, is called coercive if there exists a constant such that
for all in
A bilinear form is called coercive if there exists a constant such that
for all in
It follows from the Riesz representation theorem that any symmetric ( for all in ), continuous ( for all in ) and coercive bilinear form has the representation
for some self-adjoint operator which then turns out to be a coercive operator. Also, given a coercive operator self-adjoint operator the bilinear form defined as above is coercive.
One can also show that any self-adjoint operator is a coercive operator if and only if it is a coercive function (if one replaces the dot product with the more general inner product in the definition of coercivity of a function). As such, the definitions of coercivity for functions, operators, and bilinear forms are very related and compatible.
References
- Renardy, Michael and Rogers, Robert C. (2004). An introduction to partial differential equations (Second edition ed.). New York, NY: Springer-Verlag. pp. xiv+434. ISBN 0-387-00444-0.
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- Bashirov, Agamirza E (2003). Partially observable linear systems under dependent noises. Basel; Boston: Birkhäuser Verlag. ISBN 081766999X.
- Gilbarg, David (2001). Elliptic partial differential equations of second order, 2nd ed. Berlin; New York: Springer. ISBN 3540411607.
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