Final answer:
The optimization problem with the said objective function lacks constraints, which are crucial for defining the complete problem statement. Typically these constraints are inequalities or equations that must be satisfied.
Step-by-step explanation:
For the optimization problem mentioned, the objective function to Maximize 4x1 + 2x2 + 5x3 requires additional information in the form of constraints to be fully defined. Without such constraints, we cannot provide a complete problem statement. Typically, constraints could include equations or inequalities involving the variables x1, x2, and x3, which specify limits on resources, requirements, or other conditions that must be met. The constraints could be anything from simple inequalities like x1 + x2 ≤ 10 to more complex equations involving multiple variables. An optimization problem may also have non-negativity constraints, such as x1, x2, x3 ≥ 0. To solve such a problem, methods like the Simplex algorithm or graphical analysis could be used based on the nature and number of constraints and variables.