Theory

Guarantee of a Maximum Solution from Concave Functions

In a constrained optimization problem, if the utility component function (vv) and the feasible frontier function (gg) are both concave, it is guaranteed that any solution to the first-order condition is a maximum. This is because the concavity of these functions means their second derivatives (vv'' and gg'') are both negative. As a result, the second derivative of the overall objective function (formed by substituting the constraint) is also negative, which satisfies the second-order condition for a maximum.

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Updated 2026-05-02

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