Introduce nonnegative slack variables and use the origin as the initial feasible simplex basis:
In the simplex method, let enter. The ratio test is , so leaves. Solving the first constraint for yields the dictionary
All nonbasic variables are nonnegative and have negative reduced objective coefficients. Setting them to zero is feasible and optimal:
Subtracting from both right-hand sides changes the same dictionary to
It remains feasible throughout , including the degenerate endpoint , and the reduced coefficients are unchanged. Hence
As an independent optimality certificate, , with equality at the stated point. Negative reduced coefficients also prove uniqueness of the optimal decision vector.

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