Use Lagrange multipliers to find the points on the given surface y2=16+xz that are closest to the origin.{:[(smaller y-value)(x,y,z)=(□)],[(larger y-value)(x,y,z)=(□)]:}Submit Answer
Q. Use Lagrange multipliers to find the points on the given surface y2=16+xz that are closest to the origin.{:[(smaller y-value)(x,y,z)=(□)],[(larger y-value)(x,y,z)=(□)]:}Submit Answer
Set up function and constraint: Set up the function to minimize and the constraint equation.We want to minimize the distance to the origin, which is given by the function f(x,y,z)=x2+y2+z2. The constraint is given by the equation g(x,y,z)=y2−(16+xz)=0.
Use Lagrange multipliers: Set up the system of equations using Lagrange multipliers.We introduce a Lagrange multiplier λ and set up the following system of equations:\(\newlineabla f(x,y,z) = \lambda abla g(x,y,z)\)This gives us the following equations:2x=λ(−z) (1)2y=λ(2y) (2)2z=λ(−x) (3)And the constraint equation:y2=16+xz (4)
Solve system of equations: Solve the system of equations.From equation (1), we have x=−λz/2. From equation (3), we have z=−λx/2. Substituting z from equation (3) into equation (1), we get x=−λ(−λx/4)/2, which simplifies to x(λ2+4)=0. This gives us two cases: x=0 or λ=±2i, where i is the imaginary unit. Since we are looking for real solutions, we discard λ=±2i and consider x=0.
Substitute x=0 into constraint: Substitute x=0 into the constraint equation.Substituting x=0 into equation (4), we get y2=16. This gives us two possible values for y: y=±4.
Find corresponding z values: Find the corresponding z values. Since x=0, the constraint equation becomes y2=16+0⋅z, which we have already solved for y. Now we need to find z when y=±4. From equation (3), if x=0, then 2z=0, which means z=0.
Compile the solutions: Compile the solutions.We have found two points that satisfy the constraint and could potentially minimize the distance to the origin:(smaller y-value) (x,y,z)=(0,−4,0)(larger y-value) (x,y,z)=(0,4,0)