Consider the following \( \underline{\text { minimum }} \) problem: Minimize: \[ C=2 x_{1}+x_{2}+x_{3} \] Subject to the constraints: \[ \left\{\begin{array}{l} 2 x_{1}+x_{2}+x_{3} \geq 4 \\ x_{1}+2 x_{2}+x_{3} \geq 6 \\ x_{1} \geq 0 \\ x_{2} \geq 0 \\ x_{3} \geq 0 \end{array}\right. \] 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 ] \( y_{2} \leq 1 \) [ Select ] \( y_{1}+ \) \( \square \) [Select ] \( y_{2} \leq 1 \) \[ y_{1} \geq 0 \quad y_{2} \geq 0 \]
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Bonus Knowledge
To formulate the dual problem from the given primal problem, we need to associate the constraints of the primal with variables in the dual. 1. For the primal objective function, we designate dual variables: \( y_{1} \) for the first primal constraint and \( y_{2} \) for the second primal constraint. 2. The dual objective function coefficients correspond to the right-hand side of the primal constraints, which are 4 and 6. Given these points, the dual problem can be expressed as: \[ P = 4 y_{1} + 6 y_{2} \] The constraints of the dual come from the coefficients of the primal objective function: 1. From the first constraint \( 2x_{1} + x_{2} + x_{3} \geq 4 \), we take \( 2y_{1} + 1y_{2} \leq 2 \). 2. From the second constraint \( x_{1} + 2x_{2} + x_{3} \geq 6 \), we take \( 1y_{1} + 2y_{2} \leq 1 \). 3. From the third constraint \( x_{3} \geq 0 \), we take \( 1y_{1} + 1y_{2} \leq 1 \). Combining all of this information, we get the complete dual formulation: \[ P = 4y_{1} + 6y_{2} \] \[ 2y_{1} + y_{2} \leq 2 \] \[ y_{1} + 2y_{2} \leq 1 \] \[ y_{1} + y_{2} \leq 1 \] \[ y_{1} \geq 0 \quad y_{2} \geq 0 \]
