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If the feasible region for a LPP is unbounded, then the optimal value of the objective function Z = ax + by may or may not exist.Solution:
If the feasible region for a LPP is unbounded, then the optimal value of the objective function Z = ax + by may or may not exist.

In a LPP if the objective function Z = ax + by has the same maximum value on two corner points of the feasible region, then every point on the line segment joining these two points give the same maximum value.Solution:
In a LPP if the objective function Z = ax + by has the same maximum value on two corner points of the feasible region, then every point on the line segment joining these two points give the same maximum value.

A corner point of a feasible region is a point in the region which is the intersection of two boundary lines.Solution:
A corner point of a feasible region is a point in the region which is the intersection of two boundary lines.

In a LPP, the linear inequalities or restrictions on the variables are called linear constraints.Solution:
In a LPP, the linear inequalities or restrictions on the variables are called linear constraints.

A feasible region of a system of linear inequalities is said to be bounded, if it can be enclosed within a circle.Solution:
A feasible region of a system of linear inequalities is said to be bounded, if it can be enclosed within a circle.

In a LPP, the objective function is always linear.Solution:
In a LPP, the objective function is always linear.