Math Problem Statement
Find the shortest distance from the point P(9, 12, 8) to the paraboloid z = 9 − x2 − y2. Give your answer correct to 2 decimal places.
Solution
We are tasked with finding the shortest distance between the point and the paraboloid .
Step 1: Define the distance function
Let the coordinates of the point on the paraboloid be , with the relation between , , and given by the equation of the paraboloid: The distance from the point to a point on the surface is: Substitute the expression for from the paraboloid equation into this distance formula: Simplify the expression inside the square root:
Step 2: Minimize the distance function
To find the shortest distance, we need to minimize . Instead of minimizing directly, we minimize , which is: Minimizing will give the same result as minimizing , and it's easier to work with.
Step 3: Take partial derivatives
We now compute the partial derivatives of with respect to and .
- Partial derivative with respect to :
- Partial derivative with respect to :
Step 4: Solve the system of equations
Set both partial derivatives equal to 0 to find the critical points: Solving this system will give the values of and that minimize the distance.
Step 5: Approximate the solution
Given the complexity of solving this system algebraically, we can approximate the solution using numerical methods. Solving this system numerically, we find:
Step 6: Compute the shortest distance
Substitute these values of and back into the equation of the paraboloid to find : Now, compute the distance from to this point :
Final Answer:
The shortest distance is approximately units.
Would you like more details on any of the steps or a breakdown of a specific concept? Here are some follow-up questions to explore:
- How do partial derivatives help in finding the minimum distance?
- What other surfaces might have a similar method for distance calculation?
- How would the problem change if the paraboloid's equation were different?
- Could we solve this using Lagrange multipliers instead?
- What are some real-world applications of minimizing distance to a surface?
Tip: Minimizing a function often involves solving a system of equations using partial derivatives, which helps in finding the critical points.
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Math Problem Analysis
Mathematical Concepts
Multivariable Calculus
Optimization
Distance Calculation
Partial Derivatives
Formulas
Distance formula: D(x, y) = √((x - 9)^2 + (y - 12)^2 + (z - 8)^2)
Paraboloid equation: z = 9 - x^2 - y^2
Partial derivatives: ∂f/∂x and ∂f/∂y
Theorems
Optimization using partial derivatives
Critical points for function minimization
Suitable Grade Level
College/University Level (Calculus III)
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