Math Problem Statement

Minimize the distance from the origin to a surface defined by the constraint y^2 = 81 + xz using Lagrange multipliers.

Solution

This problem involves using Lagrange multipliers to minimize the distance from the origin to a surface defined by the constraint y2=81+xzy^2 = 81 + xz. Let’s solve step by step:

Step 1: Define the objective function

The distance from the origin to any point (x,y,z)(x, y, z) is given by: D=x2+y2+z2.D = \sqrt{x^2 + y^2 + z^2}. To simplify, we minimize the square of the distance: f(x,y,z)=x2+y2+z2.f(x, y, z) = x^2 + y^2 + z^2.

Step 2: Define the constraint

The constraint is given as: g(x,y,z)=y281xz=0.g(x, y, z) = y^2 - 81 - xz = 0.

Step 3: Apply the method of Lagrange multipliers

We solve f=λg\nabla f = \lambda \nabla g, where λ\lambda is the Lagrange multiplier.

Gradients:

  1. f=(2x,2y,2z)\nabla f = (2x, 2y, 2z),
  2. g=(z,2y,x)\nabla g = (-z, 2y, -x).

Lagrange system:

2x=λ(z),2y=λ(2y),2z=λ(x).2x = \lambda (-z), \quad 2y = \lambda (2y), \quad 2z = \lambda (-x).

Step 4: Solve the equations

  1. From 2x=λ(z)2x = \lambda (-z), we get: λ=2xz,z0.\lambda = -\frac{2x}{z}, \quad z \neq 0.

  2. From 2y=λ(2y)2y = \lambda (2y), we get: λ=1ory=0.\lambda = 1 \quad \text{or} \quad y = 0.

  3. From 2z=λ(x)2z = \lambda (-x), we get: λ=2zx,x0.\lambda = -\frac{2z}{x}, \quad x \neq 0.

Combining results:

  • If y=0y = 0, substituting into the constraint y281xz=0y^2 - 81 - xz = 0, we get: 81=xzz=81x.-81 = xz \quad \Rightarrow \quad z = -\frac{81}{x}. Substitute y=0y = 0 into f(x,y,z)f(x, y, z) to find the minimal points.

  • If y0y \neq 0, then λ=1\lambda = 1, leading to relationships between x,y,zx, y, z.

Step 5: Solve for points

Substitute values and verify solutions that minimize or maximize the distance, and select the smallest yy-value and largest yy-value cases.


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Math Problem Analysis

Mathematical Concepts

Lagrange Multipliers
Optimization
Distance Minimization
Constraints

Formulas

D = √(x^2 + y^2 + z^2)
f(x, y, z) = x^2 + y^2 + z^2
g(x, y, z) = y^2 - 81 - xz = 0
∇f = λ ∇g

Theorems

Method of Lagrange Multipliers

Suitable Grade Level

College/University (Advanced Calculus or Optimization)