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Question: Find the relative maxima and relative minima values of the function \(f\left( x,y \right)=8{{x}^{4}}...

Find the relative maxima and relative minima values of the function f(x,y)=8x4+y224xyf\left( x,y \right)=8{{x}^{4}}+{{y}^{2}}-24xy.

Explanation

Solution

We know that for a function with multiple independent variables, we define D=FxxFyy(Fxy)2D={{F}_{xx}}\cdot {{F}_{yy}}-{{\left( {{F}_{xy}} \right)}^{2}}. Now, if at critical points, D>0D>0 and Fxx>0{{F}_{xx}}>0, then the point is a local minima, if D>0D>0 and Fxx<0{{F}_{xx}}<0, then the point is a local maxima, if D<0D<0, then the point is a saddle point and if D=0D=0, we don’t have enough information to comment. Using this concept, we can find the local maxima and local minima.

Complete step-by-step answer:
We need to find the relative maxima and relative minima values for the function f(x,y)=8x4+y224xyf\left( x,y \right)=8{{x}^{4}}+{{y}^{2}}-24xy.
Let us represent the differentiation of f(x,y)f\left( x,y \right) with respect to xx as Fx{{F}_{x}}.
So, we have
Fx=x(8x4+y224xy){{F}_{x}}=\dfrac{\partial }{\partial x}\left( 8{{x}^{4}}+{{y}^{2}}-24xy \right)
Thus, we have
Fx=32x324y...(i){{F}_{x}}=32{{x}^{3}}-24y...\left( i \right)
Let us represent the differentiation of f(x,y)f\left( x,y \right) with respect to yy as Fy{{F}_{y}}.
So, we have
Fy=y(8x4+y224xy){{F}_{y}}=\dfrac{\partial }{\partial y}\left( 8{{x}^{4}}+{{y}^{2}}-24xy \right)
Thus, we have
Fy=2y24x...(ii){{F}_{y}}=2y-24x...\left( ii \right)
Now, let us equate the equation (i) with 0 to get
32x324y=032{{x}^{3}}-24y=0
Let us simplify this equation as
4x3=3y...(iii)4{{x}^{3}}=3y...\left( iii \right)
Now, let us equate the equation (ii) with 0 to get
2y24x=02y-24x=0
Let us simplify this equation as
y=12x...(iv)y=12x...\left( iv \right)
Let us now try to solve (iii) and equation (iv) simultaneously,
4x336x=0 x(x29)=0 x=0,3,3 \begin{aligned} & 4{{x}^{3}}-36x=0 \\\ & \Rightarrow x\left( {{x}^{2}}-9 \right)=0 \\\ & \Rightarrow x=0,3,-3 \\\ \end{aligned}
For x=0x=0, we have y=0y=0. And the point is (0, 0).
For x=3x=3, we have y=36y=36. And the point is (3, 36).
For x=3x=-3, we have y=36y=-36. And the point is (-3, -36).
Let us now represent the double differentiation of f(x,y)f\left( x,y \right) with respect to xx as Fxx{{F}_{xx}}, double differentiation of f(x,y)f\left( x,y \right) with respect to yy as Fyy{{F}_{yy}} and differentiation of Fx{{F}_{x}} with respect to yy as Fxy{{F}_{xy}}. So, now we have
Fxx=x(32x324y){{F}_{xx}}=\dfrac{\partial }{\partial x}\left( 32{{x}^{3}}-24y \right)
Thus, we have
Fxx=96x2{{F}_{xx}}=96{{x}^{2}}
Fyy=y(2y24x){{F}_{yy}}=\dfrac{\partial }{\partial y}\left( 2y-24x \right)
Thus, we have
Fyy=2{{F}_{yy}}=2
Fxy=y(32x324y){{F}_{xy}}=\dfrac{\partial }{\partial y}\left( 32{{x}^{3}}-24y \right)
Thus, we have
Fxy=24{{F}_{xy}}=-24
Let us define D=FxxFyy(Fxy)2D={{F}_{xx}}\cdot {{F}_{yy}}-{{\left( {{F}_{xy}} \right)}^{2}}. By using the values of Fxx{{F}_{xx}}, Fyy{{F}_{yy}} and Fxy{{F}_{xy}}, we get
D=192x2576D=192{{x}^{2}}-576
We know that if D>0D>0 and Fxx>0{{F}_{xx}}>0, then the point is a local minima, if D>0D>0 and Fxx<0{{F}_{xx}}<0, then the point is a local maxima, if D<0D<0, then the point is a saddle point and if D=0D=0, we don’t have enough information to comment.
So, for point (0, 0), we have
D=192(0)2576=576D=192{{\left( 0 \right)}^{2}}-576=-576
Here, since D<0D<0, the point (0, 0) is a saddle point.
For point (3, 36), we have
D=192(3)2576=1152D=192{{\left( 3 \right)}^{2}}-576=1152
Fxx=96(3)2=864{{F}_{xx}}=96{{\left( 3 \right)}^{2}}=864
Here, we can see that D>0D>0 and Fxx>0{{F}_{xx}}>0, so the point (3, 36) is a local minima.
For point (-3, -36), we have
D=192(3)2576=1152D=192{{\left( -3 \right)}^{2}}-576=1152
Fxx=96(3)2=864{{F}_{xx}}=96{{\left( -3 \right)}^{2}}=864
Here, we can see that D>0D>0 and Fxx>0{{F}_{xx}}>0, so the point (-3, -36) is also a local minima.
Hence, local maxima does not exist, and the local minima are at points (3, 36) and (-3,-36).

Note: We must remember that when D=0D=0, then this test fails and we don’t have enough information whether to tell that the point is a maxima or minima or a saddle point. We must note that for functions involving more than one independent variable, we use partial derivatives instead of normal derivatives.