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Use Lagrange multipliers to find the points on the given surface y2=16+xzy^{2}=16+xz that are closest to the origin.\newline{:[(smaller y-value)(x,y,z)=()(\text{smaller } y\text{-value}) \quad(x,y,z)=(\square)],[(larger y-value)(x,y,z)=()(\text{larger } y\text{-value}) \quad(x,y,z)=(\square)]:}\newlineSubmit Answer

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Q. Use Lagrange multipliers to find the points on the given surface y2=16+xzy^{2}=16+xz that are closest to the origin.\newline{:[(smaller y-value)(x,y,z)=()(\text{smaller } y\text{-value}) \quad(x,y,z)=(\square)],[(larger y-value)(x,y,z)=()(\text{larger } y\text{-value}) \quad(x,y,z)=(\square)]:}\newlineSubmit Answer
  1. Set up function and constraint: Set up the function to minimize and the constraint equation.\newlineWe want to minimize the distance to the origin, which is given by the function f(x,y,z)=x2+y2+z2f(x,y,z) = x^2 + y^2 + z^2. The constraint is given by the equation g(x,y,z)=y2(16+xz)=0g(x,y,z) = y^2 - (16 + xz) = 0.
  2. Use Lagrange multipliers: Set up the system of equations using Lagrange multipliers.\newlineWe introduce a Lagrange multiplier λ\lambda and set up the following system of equations:\newline\(\newlineabla f(x,y,z) = \lambda \newlineabla g(x,y,z)\)\newlineThis gives us the following equations:\newline2x=λ(z)2x = \lambda(-z) (11)\newline2y=λ(2y)2y = \lambda(2y) (22)\newline2z=λ(x)2z = \lambda(-x) (33)\newlineAnd the constraint equation:\newliney2=16+xzy^2 = 16 + xz (44)
  3. Solve system of equations: Solve the system of equations.\newlineFrom equation (11), we have x=λz/2x = -\lambda z/2. From equation (33), we have z=λx/2z = -\lambda x/2. Substituting zz from equation (33) into equation (11), we get x=λ(λx/4)/2x = -\lambda(-\lambda x/4)/2, which simplifies to x(λ2+4)=0x(\lambda^2 + 4) = 0. This gives us two cases: x=0x = 0 or λ=±2i\lambda = \pm 2i, where ii is the imaginary unit. Since we are looking for real solutions, we discard λ=±2i\lambda = \pm 2i and consider x=0x = 0.
  4. Substitute x=0x=0 into constraint: Substitute x=0x = 0 into the constraint equation.\newlineSubstituting x=0x = 0 into equation (44), we get y2=16y^2 = 16. This gives us two possible values for yy: y=±4y = \pm4.
  5. Find corresponding z values: Find the corresponding z values. Since x=0x = 0, the constraint equation becomes y2=16+0zy^2 = 16 + 0\cdot z, which we have already solved for yy. Now we need to find zz when y=±4y = \pm 4. From equation (33), if x=0x = 0, then 2z=02z = 0, which means z=0z = 0.
  6. Compile the solutions: Compile the solutions.\newlineWe have found two points that satisfy the constraint and could potentially minimize the distance to the origin:\newline(smaller y-value) (x,y,z)=(0,4,0)(x,y,z) = (0, -4, 0)\newline(larger y-value) (x,y,z)=(0,4,0)(x,y,z) = (0, 4, 0)

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