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Business Mathematics and Statistics · Ch 6 — Applications of Differentiation (incl. Business/Economics applications, Maxima/Minima, Partial Derivatives)

Partial Derivatives — Functions of Two Variables

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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 z=f(x,y)z = f(x,y), a partial derivative measures how zz changes when one variable moves while the other is held fixed — exactly the ordinary derivative, applied one variable at a time.

Note

Partial Derivatives — Notation and Rule

∂z∂x=differentiate f(x,y) with respect to x, treating y as a constant.\dfrac{\partial z}{\partial x} = \text{differentiate } f(x,y) \text{ with respect to } x, \text{ treating } y \text{ as a constant.}

∂z∂y=differentiate f(x,y) with respect to y, treating x as a constant.\dfrac{\partial z}{\partial y} = \text{differentiate } f(x,y) \text{ with respect to } y, \text{ treating } x \text{ as a constant.}

(Also written fxf_x and fyf_y, or zxz_x and zyz_y.)

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 3x2y3x^2y with respect to xx treats 3y3y as the constant coefficient, giving 6xy6xy. …

Definition 12Partial Derivative

The rate of change of a multivariable function with respect to one variable, holding every other variable fixed; written $\partial …

Definition 13Second-Order (Mixed) Partial Derivative

A partial derivative of a partial derivative; the mixed partial ∂2z/∂x∂y\partial^2 z/\partial x\partial y always equals ∂2z/∂y∂x\partial^2 z/\partial y\partial x for the functions used in this syllabus, g …