Math Problem Statement
Find the points on the graph of the function that are closest to the given point.
f(x) = x2,
(0, 9)
smaller x-value
(x, y)
= larger x-value
(x, y)
=
Solution
We are tasked with finding the points on the graph of the function that are closest to the point . Here's the step-by-step solution to solve this optimization problem.
Step 1: Define the Distance Formula
The distance between a point on the curve and the given point is given by the distance formula:
Since (from the equation of the curve), we substitute this into the distance formula:
This simplifies to:
Step 2: Minimize the Distance
To minimize the distance , we can minimize , as it simplifies the process. Let:
We will now minimize .
Step 3: Take the Derivative of
Differentiate with respect to :
Step 4: Set the Derivative Equal to Zero
Set to find the critical points:
Factor the equation:
This gives us two solutions:
Solve for in the second equation:
Thus, .
Step 5: Find the Corresponding -values
For :
For :
Step 6: Points on the Graph
- For the smaller -value , the point is .
- For the larger -value , the point is .
Thus, the points on the graph closest to are:
- Smaller -value:
- Larger -value:
Would you like further details or have any questions?
5 Relative Questions:
- How do we derive the critical points when minimizing a function?
- Can you explain why minimizing is easier than minimizing ?
- What happens when a point on the graph lies directly above or below the given point?
- How does the distance formula change if the point moves along the y-axis?
- Can we always assume symmetry when solving optimization problems on parabolas?
Tip:
When dealing with distance minimization problems, always simplify the square of the distance to avoid working with square roots until the final step.
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Math Problem Analysis
Mathematical Concepts
Calculus
Optimization
Parabolas
Distance Minimization
Formulas
Distance formula: d = √((x - x₁)^2 + (y - y₁)^2)
Equation of a parabola: y = f(x) = x²
Derivative of distance function
Theorems
Critical points from derivatives (setting the first derivative to zero)
Optimization via minimizing the square of the distance
Suitable Grade Level
Grades 11-12 (Pre-Calculus/Calculus)
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