X - UWSpace - University of Waterloo
X - UWSpace - University of Waterloo
X - UWSpace - University of Waterloo
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Ro<strong>of</strong> : The Assumption guarantees that the optimal vaiue <strong>of</strong> P is bounded. Then, the<br />
boundedness <strong>of</strong> each subproblem is proven as follows: by the Assumption, the non-artificial<br />
variables x, and y, are bounded. and the artificial variables, v,, cannot cause unboundedness<br />
because the artificial variables are nonnegative aid have large negative objective coefficients.<br />
Also. the A variables are bounded because <strong>of</strong> nonnegativity and the sum to one constraint. The<br />
8 variables are also bounded by an argument to similar to chat in the pro<strong>of</strong> <strong>of</strong> Theomm 3.2b in<br />
the previous chapter. Therefore. the optimai vaiue <strong>of</strong> each subproblem is bounded.<br />
Theorem 4.2 States that Step O <strong>of</strong> the algorithm in each processor accurately detects<br />
the feasibility <strong>of</strong> the whole problem P.<br />
Theorem 4.2 Problern P is infeasible if and on- if the firsr step <strong>of</strong> the algorirlun in each<br />
processor reports in feasibiliy 4 P.<br />
Pro<strong>of</strong> : (The "if' pan) If a subproblem is found to be infeasible m step 1 in any processor,<br />
then the nonlinking constraints and upper bounds for the subproblem are infeasible because<br />
the linking constnints can aiways be satisfied for some choice <strong>of</strong> the artificiai variables.<br />
Infeasibility <strong>of</strong> the nonlinking conscraint and upper bound constraint implies that P is<br />
infeasi ble.<br />
(The "only if' part) If pmblem P is infeasible, then at least one piut's set <strong>of</strong> noniinking<br />
consmints and upper bound constmints is infeasible because the Iinking constraints can't be<br />
violated. This infeîsibility will be detected at step O.