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There is a clear relationship between the decision variables y and z for all =1,…,−1 and =0,…,K−1 . (Notice that the index ranges not from 0 but from 1.) The relationship is as follows. If y=1 then z=1 for all =1,…,−1 and =0,1,…,K−1 We can properly semanticize z by adding these relationships as constraints. Write this relationship as a constraint and add all this type of constraints to the model m

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Final answer:

To formalize the relationship where 'y=1' then 'z=1', you would add constraints in the form 'z_{ijk} ≥ y_i' for all pertinent index values to the mathematical model.

Step-by-step explanation:

The relationship between decision variables y and z in a mathematical model can be articulated as a set of constraints. These constraints ensure that if y = 1, then z must also equal 1 for all given indices. To represent this relationship as a constraint in the model m, you could write it as: z_{ijk} ≥ y_i for all i = 1,...,N-1 and j, k = 0,...,K-1. When y is 1, this ensures that every corresponding z will also be 1, adhering to the specified ranges for i, j, and k.

Incorporating such linear constraints into a mathematical model allows the relationships between variables to be properly defined and maintained throughout any optimization or analysis process.

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