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So lets say the primal of the problem is written like this:

$$\max \sum^n_{j=1}c_jx_j$$ $$\text{subject to } \sum^n_{j=1}a_{ij}x_j\le b_i\qquad i=1,2,\ldots,m$$

$$\qquad x_j\ge 0\qquad j=1,2,\ldots,n$$

If the objective function (c) is negative, what does that mean for the dual?

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  • $\begingroup$ can you show us your attempt? $\endgroup$ Oct 23, 2022 at 16:30

1 Answer 1

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The dual constraints are $\sum_i a_{ij} y_i \ge c_j,$ so $c_j < 0$ implies that the constant zero solution $y\equiv 0$ is dual feasible.

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  • $\begingroup$ So the dual will always be feasible? Can it no be unbounded? Or does feasible include unboundedness? $\endgroup$ Oct 23, 2022 at 18:18
  • $\begingroup$ In general, feasible includes the possibility of unboundedness, $\endgroup$
    – RobPratt
    Oct 23, 2022 at 18:22
  • $\begingroup$ Ohh, I see! But I still find it a bit weird that the dual is always feasible. What if the primal has negative entries in the objective function, put the constraints make it unbounded, wont the dual be infeasible then? $\endgroup$ Oct 23, 2022 at 18:29
  • $\begingroup$ $\sum_i a_{ij} \cdot 0 = 0 \ge c_{ij}$, so $0$ is dual feasible. The primal cannot be unbounded here because the primal objective function to be maximized is $\sum_j c_j x_j \le 0$ since $c_j < 0$ and $x_{ij} \ge 0$. $\endgroup$
    – RobPratt
    Oct 23, 2022 at 18:35
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    $\begingroup$ I meant $x_j \ge 0$. $\endgroup$
    – RobPratt
    Oct 23, 2022 at 18:41

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