Short Answer

Concavity and Optimization

In a single-variable optimization problem, an agent's goal is to maximize an objective function by choosing a value for a variable, where that variable is also defined by a feasible frontier function. Explain the mathematical reasoning for why, if both the objective function and the feasible frontier function are concave, any solution that satisfies the first-order condition is guaranteed to be a maximum.

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Updated 2025-08-04

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