With and , the maximization optimization Lagrangian is
A finite unconstrained maximum requires to cancel the coefficient of . With , completing the square gives
Thus its global maximizers have and . The equality constraint holds, and complementary slackness with makes , giving . The Lagrangian sufficiency theorem certifies
Every feasible point has objective at most , so this is a global conclusion rather than just a stationary-point calculation.

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