Math Problem Statement

The function ​f(x,y)equals2xminus2y has an absolute maximum value and an absolute minimum value subject to the constraint xsquaredminusxyplusysquaredequals12. Use Lagrange multipliers to find these values.

Solution

To solve for the absolute maximum and minimum values of f(x,y)=2x2yf(x, y) = 2x - 2y subject to the constraint g(x,y)=x2xy+y212=0g(x, y) = x^2 - xy + y^2 - 12 = 0, we use the method of Lagrange multipliers.

The method involves solving the equations:

f=λg\nabla f = \lambda \nabla g

where:

  • f=2,2\nabla f = \langle 2, -2 \rangle
  • g=2xy,x+2y\nabla g = \langle 2x - y, -x + 2y \rangle.

Steps to solve:

  1. Set up the Lagrange equations: 2 = \lambda (2x - y) \tag{1} -2 = \lambda (-x + 2y) \tag{2} x^2 - xy + y^2 - 12 = 0 \tag{3 (constraint)}

  2. Solve for λ\lambda from the first two equations:

    From (1): λ=22xy\lambda = \frac{2}{2x - y} (provided 2xy02x - y \neq 0).

    From (2): λ=2x+2y=2x2y\lambda = \frac{-2}{-x + 2y} = \frac{2}{x - 2y}.

    Equating the two expressions for λ\lambda: 22xy=2x2y\frac{2}{2x - y} = \frac{2}{x - 2y}

    Simplify: 2xy=x2y2x - y = x - 2y

    Solve for xx and yy: x=yx = y

  3. Substitute x=yx = y into the constraint:

    Replace x=yx = y in x2xy+y212=0x^2 - xy + y^2 - 12 = 0: x2x(x)+x212=0x^2 - x(x) + x^2 - 12 = 0 2x212=02x^2 - 12 = 0 x2=6    x=±6x^2 = 6 \quad \implies \quad x = \pm \sqrt{6}

    Since x=yx = y, y=±6y = \pm \sqrt{6}.

  4. Substitute x=±6,y=±6x = \pm \sqrt{6}, y = \pm \sqrt{6} into f(x,y)f(x, y):

    For x=6,y=6x = \sqrt{6}, y = \sqrt{6}: f(x,y)=2x2y=2626=0f(x, y) = 2x - 2y = 2\sqrt{6} - 2\sqrt{6} = 0

    For x=6,y=6x = -\sqrt{6}, y = -\sqrt{6}: f(x,y)=2x2y=2(6)2(6)=0f(x, y) = 2x - 2y = 2(-\sqrt{6}) - 2(-\sqrt{6}) = 0

    Both points yield f(x,y)=0f(x, y) = 0.

Additional critical points (check 2xy=02x - y = 0 or x2y=0x - 2y = 0):

If 2xy=02x - y = 0: y=2xy = 2x Substitute into the constraint x2xy+y2=12x^2 - xy + y^2 = 12: x2x(2x)+(2x)2=12x^2 - x(2x) + (2x)^2 = 12 x22x2+4x2=12x^2 - 2x^2 + 4x^2 = 12 3x2=12    x2=4    x=±23x^2 = 12 \quad \implies \quad x^2 = 4 \quad \implies \quad x = \pm 2

If x=2x = 2, y=4y = 4. If x=2x = -2, y=4y = -4.

If x2y=0x - 2y = 0: x=2yx = 2y Substitute into the constraint x2xy+y2=12x^2 - xy + y^2 = 12: (2y)2(2y)y+y2=12(2y)^2 - (2y)y + y^2 = 12 4y22y2+y2=124y^2 - 2y^2 + y^2 = 12 3y2=12    y2=4    y=±23y^2 = 12 \quad \implies \quad y^2 = 4 \quad \implies \quad y = \pm 2

If y=2y = 2, x=4x = 4. If y=2y = -2, x=4x = -4.

Evaluate f(x,y)f(x, y) at these points:

  1. (2,4)(2, 4): f(x,y)=2(2)2(4)=48=4f(x, y) = 2(2) - 2(4) = 4 - 8 = -4.
  2. (2,4)(-2, -4): f(x,y)=2(2)2(4)=4+8=4f(x, y) = 2(-2) - 2(-4) = -4 + 8 = 4.

Final Answer:

  • Absolute maximum value: 44 at (2,4)(-2, -4).
  • Absolute minimum value: 4-4 at (2,4)(2, 4).

Would you like a detailed explanation of any step or the general method? 😊


Related Questions:

  1. What are the key applications of Lagrange multipliers in optimization?
  2. How do you handle constraints that include inequalities instead of equations?
  3. Can the method of Lagrange multipliers work for functions with three or more variables?
  4. How would a second constraint alter the optimization problem?
  5. What are the geometric interpretations of Lagrange multipliers?

Tip:

Always verify critical points by substituting them back into the original constraint equation to ensure they are valid.

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Math Problem Analysis

Mathematical Concepts

Optimization
Multivariable Calculus
Lagrange Multipliers
Constraint Optimization

Formulas

f(x, y) = 2x - 2y
g(x, y) = x^2 - xy + y^2 - 12 = 0
∇f = λ ∇g

Theorems

Method of Lagrange Multipliers

Suitable Grade Level

Grades 11-12 / College-level