Business Mathematics and Statistics · Ch 6 — Applications of Differentiation (incl. Business/Economics applications, Maxima/Minima, Partial Derivatives)
Partial Derivatives — Functions of Two Variables
Partial Derivatives — Functions of Two Variables
Every function differentiated so far has depended on a single variable. Many genuine business quantities depend on two or more variables at once — a firm's output depends on both labour and capital; a consumer's utility depends on quantities of several goods. For a function of two variables , a partial derivative measures how changes when one variable moves while the other is held fixed — exactly the ordinary derivative, applied one variable at a time.
Partial Derivatives — Notation and Rule
(Also written and , or and .)
Because every ordinary differentiation rule (power rule, sum rule, product rule) still applies to whichever variable is being differentiated — the other variable is simply carried through every step like any ordinary constant, e.g. differentiating with respect to treats as the constant coefficient, giving . …
The rate of change of a multivariable function with respect to one variable, holding every other variable fixed; written $\partial …
A partial derivative of a partial derivative; the mixed partial always equals for the functions used in this syllabus, g …