Math Problem Statement
What is the x-coordinate of the point on the parabola of f(x)=x2−1 that is closest to the origin?
Solution
To find the x-coordinate of the point on the parabola that is closest to the origin, we need to minimize the distance from the point on the curve to the origin. The distance from a point to the origin is given by the distance formula:
Substitute into this formula:
To simplify the problem, we can minimize the square of the distance , since the square root function is monotonically increasing:
Expanding :
Simplifying further:
Now, to minimize , we take the derivative of with respect to and set it equal to zero:
Set the derivative equal to zero to find the critical points:
Factor the equation:
This gives two solutions:
Solving :
Thus, the critical points are , , and .
To determine which point minimizes the distance, we calculate the second derivative of :
Evaluate the second derivative at the critical points:
- For , , indicating a local maximum.
- For , , indicating a local minimum.
Therefore, the point on the parabola closest to the origin is at .
Conclusion: The x-coordinate of the point on the parabola that is closest to the origin is .
Would you like further clarification or details on this process?
Here are 5 related questions:
- How do you find the distance from a point to a curve in general?
- What happens if the second derivative is negative at a critical point?
- How do you interpret the first and second derivatives in terms of graph behavior?
- Can this method be applied to other types of curves, such as a circle or a line?
- How do you find the closest point on a curve to a point not on the curve?
Tip: Always start by minimizing the square of the distance, as it simplifies calculations and avoids dealing with square roots.
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Math Problem Analysis
Mathematical Concepts
Optimization
Parabolas
Distance Formula
Derivatives
Formulas
Distance formula: d(x) = sqrt(x^2 + (f(x))^2)
Derivative: d^2(x) = x^2 + (x^2 - 1)^2
Theorems
Critical point analysis using first and second derivatives
Minimization of distance function
Suitable Grade Level
Grades 11-12
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