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It is a snap to locate a most significant e that maintains the area constraints: it is both the smallest difference between an odd variable and 0, or the smallest distinction between a fair variable and 1. Now, we have a single a lot less fractional variable, so k(x) decreases by 1. The objective worth remains exactly the same, considering that in any other case we could maximize it by deciding on e to generally be constructive or unfavorable, in contradiction to the assumption that it's maximal.
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Suppose we incorporate a specific frequent e to all even variables from the cycle, and take away exactly the same consistent e from all odd variables during the cycle. For any these kinds of e, the sum of variables near Each individual vertex continues to be a similar (1), so the vertex constraints remain pleased. What's more, if e is adequately modest, all variables continue to be concerning 0 and one, Therefore the domain constraints are still happy too.
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