Real Analysis Exchange

Least Squares and Approximate Differentiation

Russell A. Gordon

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Abstract

The least squares derivative and the approximate derivative are both generalizations of the ordinary derivative. The existence of either of these generalized derivatives does not guarantee the existence of the other and it is even possible for both generalized derivatives to exist at a point but have different values. Several examples of such functions are presented in this paper. In addition, conditions for which the existence of the approximate derivative implies the existence (and equality) of the least squares derivative are stated and proved. These conditions involve the notion of Hölder continuity and a stronger version of approximate differentiability.

Article information

Source
Real Anal. Exchange, Volume 37, Number 1 (2011), 189-202.

Dates
First available in Project Euclid: 30 April 2012

Permanent link to this document
https://projecteuclid.org/euclid.rae/1335806771

Mathematical Reviews number (MathSciNet)
MR3016859

Zentralblatt MATH identifier
1247.26009

Subjects
Primary: 26A24: Differentiation (functions of one variable): general theory, generalized derivatives, mean-value theorems [See also 28A15] 26A16: Lipschitz (Hölder) classes
Secondary: 26A05

Keywords
approximate derivative least squares derivative Hölder continuity

Citation

Gordon, Russell A. Least Squares and Approximate Differentiation. Real Anal. Exchange 37 (2011), no. 1, 189--202. https://projecteuclid.org/euclid.rae/1335806771


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References

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