Module 50Preview

Partial Derivatives, Total Derivative, and Marginal Analysis

2 min read·CUET PG Economics

1) Why partial derivatives in economics?

Many economic relationships involve more than one variable:

  • Production: Q=f(K,L)Q=f(K,L)
  • Utility: U=U(x1,x2)U=U(x_1,x_2)
  • Demand: Qd=f(P,Y)Q_d=f(P,Y)

Partial derivatives measure the marginal effect of one variable holding others constant.


2) Partial derivatives (definition)

For z=f(x,y)z=f(x,y):

∂z∂x holds y constant\frac{\partial z}{\partial x} \text{ holds } y \text{ constant} ∂z∂y holds x constant\frac{\partial z}{\partial y} \text{ holds } x \text{ constant}

Example: If z=x2y+3yz=x^2y+3y,

∂z∂x=2xy\frac{\partial z}{\partial x}=2xy ∂z∂y=x2+3\frac{\partial z}{\partial y}=x^2+3

3) Second-order partial derivatives

fxx=∂2f∂x2,fyy=∂2f∂y2,fxy=∂2f∂x∂yf_{xx}=\frac{\partial^2 f}{\partial x^2},\quad f_{yy}=\frac{\partial^2 f}{\partial y^2},\quad f_{xy}=\frac{\partial^2 f}{\partial x\partial y}

For “well-behaved” functions, mixed partials are equal:

fxy=fyxf_{xy}=f_{yx}

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