M408M Learning Module Pages
Main page Chapter 10: Parametric Equations and Polar CoordinatesChapter 12: Vectors and the Geometry of SpaceChapter 13: Vector FunctionsChapter 14: Partial DerivativesLearning module LM 14.1: Functions of 2 or 3 variables:Learning module LM 14.3: Partial derivatives:6 pillars of calculus (revisited)Geometry of partial derivatives Higher partial derivatives Learning module LM 14.4: Tangent planes and linear approximations:Learning module LM 14.5: Differentiability and the chain rule:Learning module LM 14.6: Gradients and directional derivatives:Learning module LM 14.7: Local maxima and minima:Learning module LM 14.8: Absolute maxima and Lagrange multipliers:Chapter 15: Multiple Integrals |
Higher partial derivativesSince $f_x$ and $f_y$ are functions of $x$ and $y$, we can take derivatives of these functions to get second derivatives. There are four such second derivatives, since each time we can differentiate with respect to $x$ or $y$.
The main result about higher derivatives is:
A consequence of this theorem is that we don't need to keep track of the order in which we take derivatives. We just need to keep track of how many times we differentiate with respect to each variable. Higher partial derivatives and Clairaut's theorem are explained in the following video. |