Let . Using Lagrange multipliers with givesThe third equation fixes . The first two then reduce to and . If , their solution and the constraint giveAt , the second equation requires and makes the first inconsistent; at , it requires and gives the same inconsistency. Thus there is no constrained stationary point when . The constraint gradient never vanishes because its vertical component is one, so the multiplier condition has not excluded any regular constrained stationary points.
Eliminate using the constraint: . The restricted objective is the quadratic polynomial , with constant Hessian matrixIts eigenvalues are and . HenceFor , both eigenvalues are negative and the quadratic polynomial is strictly concave, so the maximum is global on the entire constraint surface. For , the opposite signs give increasing and decreasing directions. At there is no stationary point, as already found, rather than a degenerate extremum to classify. No parameter value produces a constrained local minimum.
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