Question #255931

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.


1
Expert's answer
2021-10-25T17:34:48-0400

4.1

Cost of manufacturing ,C(x,y)=100x2+100xy+400y2100x^2+100xy+400y^2 where x is the number of motorbikes and y the number of cars.


\therefore Revenue,R(x,y)=36,000x+180,000y36,000x+180,000y


\therefore profit, π\pi =36,000x+180,000y100x2100xy400y236,000x+180,000y-100x^2-100xy-400y^2


For π\pi max,δπδx=36,000200x100y=0\frac{\delta\pi}{\delta x}=36,000-200x-100y=0


2x+y=3602x+y=360 .........................................(1)


δπδy=180,000100x800y=0\frac{\delta\pi}{\delta y}=180,000-100x-800y=0


x+8y=1800x+8y=1800 ........................................(2)


Using Gaussian elimination to eliminate x;

(2x+16y)(2x+y)=3600360(2x+16y)-(2x+y)=3600-360


15y=324015y=3240


y=216y=216


Putting this value of y in (2)


x=18001728=72x=1800-1728=72


\therefore for maximum profit, π\pi ,no of motorbikes=72 and no of cars=216.


Maximum profit =36,000(72)+180,000(216)-100(72)2^{2} -100(72)(216)-400(216)2^{2} =$20,736,000\$20,736,000


4.2

π(x,y)=36,000x+180,000y100x2100xy400y2\pi(x,y)=36,000x+180,000y-100x^2-100xy-400y^2


δ2πδx2=δδx36,000200x100y=200<0\frac{\delta^{2}\pi}{\delta x^{2}}=\frac{\delta}{\delta x}36,000-200x-100y=-200<0


δ2πδy2=800\frac{\delta^{2}\pi}{\delta y^{2}}=-800


δ2πδxδy=100\frac{\delta^{2}\pi}{\delta x\delta y}=-100


δ2πδyδx=100\frac{\delta^{2}\pi}{\delta y\delta x}=-100


Hessian, H δ2πδx2δ2πδyδxδ2πδxδyδ2πδy2\begin{vmatrix} \frac{\delta^{2}\pi}{\delta x^{2}}& \frac{\delta^{2}\pi}{\delta y\delta x} \\ \frac{\delta^{2}\pi}{\delta x\delta y}& \frac{\delta^{2}\pi}{\delta y^{2}} \end{vmatrix} =200100100800\begin{vmatrix} -200 & -100 \\ -100 & -800 \end{vmatrix}


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

= δ (C,R)δ(x,y)\frac{\delta\ (C, R)}{\delta (x, y)} should be zero.


δ (C,R)δ(x,y)=\frac{\delta\ (C, R)}{\delta (x, y)}= δCδxδCδyδRδxδRδy\begin{vmatrix} \frac{\delta C}{\delta x}& \frac{\delta C}{\delta y} \\ \frac{\delta R}{\delta x}& \frac{\delta R}{\delta y} \end{vmatrix} =200x+100y100x+800y36,000180,000\begin{vmatrix} 200x+100y & 100x+800y \\ 36,000& 180,000 \end{vmatrix}


=36000000xx +18000000yy -3600000xx -28800000yy


=32400000xx -10800000yy


=10800000(3xy)(3x-y)


δ (C,R)δ(x,y)\frac{\delta\ (C, R)}{\delta (x, y)} =10800000(3×72216)=0(3\times72-216)=0


\therefore cost and revenue functions are functionality dependent.



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