In mathematics, a function is symmetrically continuous at a point x if

The usual definition of continuity implies symmetric continuity, but the converse is not true. For example, the function is symmetrically continuous at , but not continuous.

Also, symmetric differentiability implies symmetric continuity, but the converse is not true just like usual continuity does not imply differentiability.

The set of the symmetrically continuous functions, with the usual scalar multiplication can be easily shown to have the structure of a vector space over , similarly to the usually continuous functions, which form a linear subspace within it.

References

edit
  • Thomson, Brian S. (1994). Symmetric Properties of Real Functions. Marcel Dekker. ISBN 0-8247-9230-0.

📚 Artikel Terkait di Wikipedia

Continuous function

mathematics, a continuous function is a function such that a small variation of the argument induces a small variation of the value of the function. This implies

Symmetric derivative

quasi-mean-value theorem for a symmetrically differentiable function states that if f is continuous on the closed interval [a, b] and symmetrically differentiable on

Sublinear function

sublinear function on X . {\displaystyle X.} Then the following are equivalent: p {\displaystyle p} is continuous; p {\displaystyle p} is continuous at 0;

Continuous uniform distribution

probability theory and statistics, the continuous uniform distributions or rectangular distributions are a family of symmetric probability distributions. Such

Even and odd functions

is self-symmetric with respect to the origin. If the domain of a real function is self-symmetric with respect to the origin, then the function can be uniquely

Mercer's theorem

a more general formulation. A kernel, in this context, is a symmetric continuous function K : [ a , b ] × [ a , b ] → R {\displaystyle K:[a,b]\times [a

Symmetric group

itself, and whose group operation is the composition of functions. In particular, the finite symmetric group S n {\displaystyle \mathrm {S} _{n}} defined over

Smoothness

analysis, the smoothness of a function or map describes the extent to which it has derivatives that exist and vary continuously. Given a non-negative integer