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In mathematics, the symmetric derivative is an operation generalizing the ordinary derivative. It is defined as:
Contents
- The modulus function
- x2
- The Dirichlet function
- Quasi mean value theorem
- Generalizations
- The second symmetric derivative
- References
The expression under the limit is sometimes called the symmetric difference quotient. A function is said 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 [counter]example 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.
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.
Neither Rolle's theorem nor the mean value theorem hold for the symmetric derivative; some similar but weaker statements have been proved.
The modulus function
For the modulus function,
only, where remember that
Note in this example both the left and right derivatives at 0 exits, but they are unequal (one is -1 and the other is 1); their average is 0, as expected.
x−2
For the function
only, where again,
The Dirichlet function
The Dirichlet function, defined as:
may be analysed to realize that it has symmetric derivatives
Quasi-mean value theorem
The symmetric derivative does not obey the usual mean value theorem (of Lagrange). As counterexample, the symmetric derivative of f(x) = |x| has the image {-1, 0, 1}, but secants for f can have a wider range of slopes; for instance, on the interval [-1, 2], the mean value theorem would mandate that there exist a point where the (symmetric) derivative takes the value
A theorem somewhat analogous to Rolle's theorem but for the symmetric derivative was established by in 1967 C.E. Aull, who named it Quasi-Rolle theorem. If f is continuous on the closed interval [a, b] and symmetrically differentiable on the open interval (a, b) and f(b) = f(a) = 0, then there exist two points x, y in (a, b) such that fs(x) ≥ 0 and fs(y) ≤ 0. A lemma also established by Aull as a stepping stone to this theorem states that if f is continuous on the closed interval [a, b] and symmetrically differentiable on the open interval (a, b) and additionally f(b) > f(a) then there exist a point z in (a, b) where the symmetric derivative is non-negative, or with the notation used above, fs(z) ≥ 0. Analogously, if f(b) < f(a), then there exists a point z in (a, b) where fs(z) ≤ 0.
The 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 the open interval (a, b), then there exist x, y in (a, b) such that
As an application, the quasi-mean value theorem for f(x) = |x| on an interval containing 0 predicts that the slope of any secant of f is between -1 and 1.
If the symmetric derivative of f has the Darboux property, then the (form of the) regular mean value theorem (of Lagrange) holds, i.e. there exists z in (a, b):
As a consequence, if a function is continuous and its symmetric derivative is also continuous (thus has the Darboux property), then the function is differentiable in the usual sense.
Generalizations
The notion generalizes to higher-order symmetric derivatives and also to n-dimensional Euclidean spaces.
The second symmetric derivative
It is defined as
If the (usual) second derivative exists, then the second symmetric derivative equals it. The second symmetric derivative may exist however even when the (ordinary) second derivative does not. As example, consider the sign function
The sign function is not continuous at zero and therefore the second derivative for