A motor company manufacture and sell cars and motorbikes. The cost of manufacturing x motorbikes and y cars is given by 2 2 C x y x xy y ( , ) 100 100 400 = + + . Each motorbike is sold for N$36 000-00 and each car is sold for N$180 000-00. Use Cramer’s rule to determine the number of motorbikes and the number of cars that should be manufactured and sold for a maximum profit and determine the maximum profit max . (10 marks) 4.2 Use the Jacobian to test for functional dependence between the cost and the revenue functions in 4.1. (7 marks) 4.3 One of the stationary points of the function ( ) 4 4 2 2 f x y x y x xy y , 2 4 2 = + − + − is ( 2, 2 − ). Use the Hessian to test whether the given point is a maximum, minimum or a saddle point.
4.1
Cost of manufacturing ,C(x,y)= where x is the number of motorbikes and y the number of cars.
Revenue,R(x,y)=
profit, =
For max,
.........................................(1)
........................................(2)
Using Gaussian elimination to eliminate x;
Putting this value of y in (2)
for maximum profit, ,no of motorbikes=72 and no of cars=216.
Maximum profit =36,000(72)+180,000(216)-100(72) -100(72)(216)-400(216) =
4.2
Hessian, H =
The above solution offers maximum profit.
4.3
To test for functional dependence between the cost and the revenue functions in 4.1 the Jacobian
= should be zero.
=
=36000000 +18000000 -3600000 -28800000
=32400000 -10800000
=10800000
=10800000
cost and revenue functions are functionality dependent.
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