A dual-feasible point is an upper-bound certificate for a primal maximization problem. This lesson uses an easy feasible price vector before the optimum is known. The number it produces is not guessed; it is recomputed from the primal right sides.
highlighted = computed this step
A feasible price vector
The point y=(1/2, 1/2) is dual feasible. Why: its prices cover each primal objective coefficient.
y=(1/2,1/2)
Upper bound
Those prices give b dot y=4. Why: weak duality says every dual-feasible value is an upper bound on the primal max.
b⋅y=4
Loose but valid
The bound 4 is above the optimal value 8/3. Why: a certificate can be valid before it is tight.
c⋅x∗≤b⋅y
Diagram note
The diagram shows a recomputed dual-feasible point and its recomputed bound. Pixel positions are rounded for layout; every number shown is exact.