When an operations researcher defines the concept of infeasibility in linear programming as a condition where a mathematical model contains a set of constraints that mutually contradict one another, why does this specific structural flaw guarantee that there is no single point on the coordinate plane—or within the decision space—that can simultaneously satisfy every single rule established by the model?
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