In mathematics, the symmetric derivative is an operation generalizing the ordinary derivative.
It is defined as:[1][2]
The expression under the limit is sometimes called the symmetric difference quotient.[3][4] A function is said to be symmetrically differentiable at a point x if its symmetric derivative exists at that point.
If a function is differentiable (in the usual sense) at a point, then it is also symmetrically differentiable, but the converse is not true. A well-known counterexample is the absolute value function f(x) = |x|, which is not differentiable at x = 0, but is symmetrically differentiable here with symmetric derivative 0. For differentiable functions, the symmetric difference quotient does provide a better numerical approximation of the derivative than the usual difference quotient.[3]
The symmetric derivative at a given point equals the arithmetic mean of the left and right derivatives at that point, if the latter two both exist.[1][2]: 6
Neither Rolle's theorem nor the mean-value theorem hold for the symmetric derivative; some similar but weaker statements have been proved.
^ abPeter R. Mercer (2014). More Calculus of a Single Variable. Springer. p. 173. ISBN 978-1-4939-1926-0.
^ abThomson, Brian S. (1994). Symmetric Properties of Real Functions. Marcel Dekker. ISBN 0-8247-9230-0.
^ abPeter D. Lax; Maria Shea Terrell (2013). Calculus With Applications. Springer. p. 213. ISBN 978-1-4614-7946-8.
^Shirley O. Hockett; David Bock (2005). Barron's how to Prepare for the AP Calculus. Barron's Educational Series. pp. 53. ISBN 978-0-7641-2382-5.
and 27 Related for: Symmetric derivative information
called the symmetric difference quotient. A function is said to be symmetrically differentiable at a point x if its symmetricderivative exists at that...
limit is called the second symmetricderivative. The second symmetricderivative may exist even when the (usual) second derivative does not. The expression...
The symmetric logarithmic derivative is an important quantity in quantum metrology, and is related to the quantum Fisher information. Let ρ {\displaystyle...
particularly troublesome if the domain of f is discrete. See also Symmetricderivative. Authors for whom finite differences mean finite difference approximations...
a symmetric matrix is a square matrix that is equal to its transpose. Formally, A is symmetric ⟺ A = A T . {\displaystyle A{\text{ is symmetric}}\iff...
Semi-differentiability Symmetricderivative – generalization of the derivativePages displaying wikidata descriptions as a fallback Topological derivative David Hestenes...
the covariant derivative is a way of specifying a derivative along tangent vectors of a manifold. Alternatively, the covariant derivative is a way of introducing...
s fixes x; the derivative of s at x sends X to −X. When s is independent of X, M is a symmetric space. An account of weakly symmetric spaces and their...
is symmetric everywhere except (0, 0), there is no contradiction with the fact that the Hessian, viewed as a Schwartz distribution, is symmetric. Consider...
performed in limited precision. The symmetric difference quotient is employed as the method of approximating the derivative in a number of calculators, including...
{\displaystyle T=g} is the symmetric metric tensor, it is parallel with respect to the Levi-Civita connection (aka covariant derivative), and it becomes fruitful...
assuming that the connection is symmetric (e.g., the Levi-Civita connection). If the connection has torsion, then only the symmetric part of the Christoffel symbol...
mathematics, the Gateaux differential or Gateaux derivative is a generalization of the concept of directional derivative in differential calculus. Named after René...
In mathematics, symmetric convolution is a special subset of convolution operations in which the convolution kernel is symmetric across its zero point...
characteristic zero, the graded vector space of all symmetric tensors can be naturally identified with the symmetric algebra on V. A related concept is that of...
Wheeler–Feynman time-symmetric theory. The operator in brackets (in the final expression above) is also called the total derivative operator (with respect...
In general, every tensor of rank 2 can be decomposed into a symmetric and anti-symmetric pair as: T i j = 1 2 ( T i j + T j i ) + 1 2 ( T i j − T j i...
especially over spaces of matrices. It collects the various partial derivatives of a single function with respect to many variables, and/or of a multivariate...
A directional derivative is a concept in multivariable calculus that measures the rate at which a function changes in a particular direction at a given...
the exterior derivative extends the concept of the differential of a function to differential forms of higher degree. The exterior derivative was first described...
{\displaystyle f.} The most commonly encountered symmetric functions are polynomial functions, which are given by the symmetric polynomials. A related notion is alternating...
connection is called symmetric or torsion-free, if Γ j i k = Γ i j k {\displaystyle \Gamma _{ji}^{k}=\Gamma _{ij}^{k}} . A symmetric connection has at most...
multilinear map sp: TpM × TpM → Ep which is completely anti-symmetric. Then the exterior covariant derivative d∇ s assigns to each p a multilinear map TpM × TpM...
the positive-definite norm can be salvaged at the cost of giving up the symmetric and bilinear properties of the dot product, through the alternative definition...
matrix whose transpose is equal to itself is called a symmetric matrix; that is, A is symmetric if A T = A . {\displaystyle \mathbf {A} ^{\operatorname...