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simts (version 0.2.2)

deriv_dr: Analytic D matrix for Drift (DR) Process

Description

Obtain the first derivative of the Drift (DR) process.

Usage

deriv_dr(omega, tau)

Value

A matrix with the first column containing the partial derivative with respect to \(\omega\).

Arguments

omega

A double that is the slope of the drift.

tau

A vec containing the scales e.g. \(2^{\tau}\)

Process Haar WV First Derivative

Taking the derivative with respect to \(\omega\) yields: $$\frac{\partial }{{\partial \omega }}\nu _j^2\left( \omega \right) = \frac{{\tau _j^2\omega }}{8}$$ Note: We are taking the derivative with respect to \(\omega\) and not \(\omega^2\) as the \(\omega\) relates to the slope of the process and not the processes variance like RW and WN. As a result, a second derivative exists and is not zero.

Author

James Joseph Balamuta (JJB)