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Find the maxima, minima, and saddle points of the function f(x,y) = 4xy − x4 − y4.

Mathematics

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Step-by-step solution

4 steps

To find the maxima, minima, and saddle points of the function f(x,y)=4xy−x4−y4f(x,y) = 4xy - x^4 - y^4, we follow these steps:

  1. Find the first partial derivatives and set them to zero to find critical points.

    The given function is f(x,y)=4xy−x4−y4f(x,y) = 4xy - x^4 - y^4.
    The partial derivative with respect to xx is:

    fx=∂∂x(4xy−x4−y4)=4y−4x3f_x = \frac{\partial}{\partial x}(4xy - x^4 - y^4) = 4y - 4x^3

    The partial derivative with respect to yy is:

    fy=∂∂y(4xy−x4−y4)=4x−4y3f_y = \frac{\partial}{\partial y}(4xy - x^4 - y^4) = 4x - 4y^3

    Set fx=0f_x = 0 and fy=0f_y = 0:

    1. 4y−4x3=0  ⟹  y=x34y - 4x^3 = 0 \implies y = x^3
    2. 4x−4y3=0  ⟹  x=y34x - 4y^3 = 0 \implies x = y^3

    Substitute equation (1) into equation (2):

    x=(x3)3x = (x^3)^3 x=x9x = x^9 x9−x=0x^9 - x = 0 x(x8−1)=0x(x^8 - 1) = 0

    This gives three possible values for xx:

    • x=0x = 0
    • x8−1=0  ⟹  x8=1  ⟹  x=±1x^8 - 1 = 0 \implies x^8 = 1 \implies x = \pm 1

    Now, find the corresponding yy values using y=x3y = x^3:

    • If x=0x = 0, then y=03=0y = 0^3 = 0. Critical point: (0,0)(0,0).
    • If x=1x = 1, then y=13=1y = 1^3 = 1. Critical point: (1,1)(1,1).
    • If x=−1x = -1, then y=(−1)3=−1y = (-1)^3 = -1. Critical point: (−1,−1)(-1,-1). The critical points are (0,0)(0,0), (1,1)(1,1), and (−1,−1)(-1,-1).
  2. Find the second partial derivatives.

    fxx=∂∂x(4y−4x3)=−12x2f_{xx} = \frac{\partial}{\partial x}(4y - 4x^3) = -12x^2 fyy=∂∂y(4x−4y3)=−12y2f_{yy} = \frac{\partial}{\partial y}(4x - 4y^3) = -12y^2 fxy=∂∂y(4y−4x3)=4f_{xy} = \frac{\partial}{\partial y}(4y - 4x^3) = 4
  3. Calculate the discriminant D(x,y)=fxxfyy−(fxy)2D(x,y) = f_{xx}f_{yy} - (f_{xy})^2.

    D(x,y)=(−12x2)(−12y2)−(4)2D(x,y) = (-12x^2)(-12y^2) - (4)^2 D(x,y)=144x2y2−16D(x,y) = 144x^2y^2 - 16
  4. Apply the Second Derivative Test to each critical point.

    • At (0,0)(0,0):

      D(0,0)=144(0)2(0)2−16=−16D(0,0) = 144(0)^2(0)^2 - 16 = -16

      Since D(0,0)<0D(0,0) < 0, the point (0,0)(0,0) is a saddle point.

    • At (1,1)(1,1):

      D(1,1)=144(1)2(1)2−16=144−16=128D(1,1) = 144(1)^2(1)^2 - 16 = 144 - 16 = 128

      Since D(1,1)>0D(1,1) > 0, we check fxx(1,1)f_{xx}(1,1):

      fxx(1,1)=−12(1)2=−12f_{xx}(1,1) = -12(1)^2 = -12

      Since fxx(1,1)<0f_{xx}(1,1) < 0, the point (1,1)(1,1) is a local maximum. The value of the function at this point is f(1,1)=4(1)(1)−(1)4−(1)4=4−1−1=2f(1,1) = 4(1)(1) - (1)^4 - (1)^4 = 4 - 1 - 1 = 2.

    • At (−1,−1)(-1,-1):

      D(−1,−1)=144(−1)2(−1)2−16=144−16=128D(-1,-1) = 144(-1)^2(-1)^2 - 16 = 144 - 16 = 128

      Since D(−1,−1)>0D(-1,-1) > 0, we check fxx(−1,−1)f_{xx}(-1,-1):

      fxx(−1,−1)=−12(−1)2=−12f_{xx}(-1,-1) = -12(-1)^2 = -12

      Since fxx(−1,−1)<0f_{xx}(-1,-1) < 0, the point (−1,−1)(-1,-1) is a local maximum. The value of the function at this point is f(−1,−1)=4(−1)(−1)−(−1)4−(−1)4=4−1−1=2f(-1,-1) = 4(-1)(-1) - (-1)^4 - (-1)^4 = 4 - 1 - 1 = 2.

    Summary of results:

    • The point (0,0)(0,0) is a saddle point.
    • The point (1,1)(1,1) is a local maximum with value f(1,1)=2f(1,1) = 2.
    • The point (−1,−1)(-1,-1) is a local maximum with value f(−1,−1)=2f(-1,-1) = 2.

    The final answer is Saddle point at (0,0), Local maxima at (1,1) and (−1,−1) with value 2\boxed{\text{Saddle point at } (0,0), \text{ Local maxima at } (1,1) \text{ and } (-1,-1) \text{ with value } 2}.

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