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

Applications of Partial Derivatives — Marginal Productivity

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Applications of Partial Derivatives — Marginal Productivity

A firm's output QQ is commonly modelled as a function of two inputs — labour LL and capital KK — written Q=f(L,K)Q = f(L,K), 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.

Note

Marginal Productivity

MPL=∂Q∂L(marginal product of labour — extra output from one more unit of labour, capital held fixed)MP_L = \dfrac{\partial Q}{\partial L} \quad\text{(marginal product of labour — extra output from one more unit of labour, capital held fixed)}

MPK=∂Q∂K(marginal product of capital — extra output from one more unit of capital, labour held fixed)MP_K = \dfrac{\partial Q}{\partial K} \quad\text{(marginal product of capital — extra output from one more unit of capital, labour held fixed)}

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. …

Definition 14Production Function Q(L,K)

A function expressing a firm's output QQ in terms of the quantities of labour LL and capi …

Definition 15Marginal Product of Labour (MP_L)

The partial derivative ∂Q/∂L\partial Q/\partial L — the extra output from one more unit of labour, with c …

Definition 16Marginal Product of Capital (MP_K)

The partial derivative ∂Q/∂K\partial Q/\partial K — the extra output from one more unit of capital, with …