Business Mathematics and Statistics · Ch 6 — Applications of Differentiation (incl. Business/Economics applications, Maxima/Minima, Partial Derivatives)
Applications of Partial Derivatives — Marginal Productivity
Applications of Partial Derivatives — Marginal Productivity
A firm's output is commonly modelled as a function of two inputs — labour and capital — written , called a production function. Just as an ordinary derivative gives the marginal cost/revenue of Section 1, a partial derivative of the production function gives the marginal productivity of each individual input, holding the other input fixed.
Marginal Productivity
This is exactly the same marginal-analysis idea as Section 1's marginal cost and marginal revenue, extended to a function of two variables: it isolates the effect of changing one input at a time, which is precisely why the partial derivative — not the ordinary derivative — is the right tool, since output genuinely depends on both inputs simultaneously and neither can be varied without a rule for what happens to the other. …
A function expressing a firm's output in terms of the quantities of labour and capi …
The partial derivative — the extra output from one more unit of labour, with c …
The partial derivative — the extra output from one more unit of capital, with …