Consider the following minimum problem: Minimize: \[ C=2 x_{1}+x_{2} \] Subject to the constraints: \[ \left\{\begin{array}{l} 5 x_{1}+x_{2} \geq 9 \\ 2 x_{1}+2 x_{2} \geq 10 \\ x_{1} \geq 0 \\ x_{2} \geq 0 \end{array}\right. \] Write the dual problem for the above minimum problem by selecting the appropriate number for each blank box shown below (Do not solve the dual problem). \[ P=[\text { Select }] \quad \hat{v} y_{1}+[\text { Select }] \quad \hat{v} y_{2} \] [ Select ] \( y_{1}+ \) \( \square \) [ Select ] \( y_{2} \leq 2 \) [ Select ] \( y_{1}+ \) \( \square \) [ Select ] \( y_{2} \leq 1 \) \[ y_{1} \geq 0 \quad ; \quad y_{2} \geq 0 \]
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The dual problem can be constructed by following the principles of duality in linear programming. For each primal constraint, we create a dual variable, and the coefficients in the primal objective function become the right-hand side of the dual constraints. In this specific case, we have two constraints and two variables in the primal problem. Using this approach, we can fill in the blanks below: \[ P=\hat{v} y_{1}+ \hat{v} y_{2} \] \( 5 y_{1}+2y_{2} \leq 2 \) \( y_{1}+2y_{2} \leq 1 \) \[ y_{1} \geq 0 ; y_{2} \geq 0 \] Now we have the dual problem clearly defined, and ready for further analysis or optimization!
