Math Problem Statement

  1. Find the coordinates of the point on the curve y=sqrtx that is closest to the point (3,0) clearly indicate your method of optimization. closed interval or first derivative test.

Solution

To find the coordinates of the point on the curve y=xy = \sqrt{x} that is closest to the point (3,0)(3, 0), we will use optimization techniques. Here is a step-by-step solution:


Step 1: Define the distance formula

The distance DD between the point (x,y)(x, y) on the curve and (3,0)(3, 0) is given by: D=(x3)2+y2.D = \sqrt{(x - 3)^2 + y^2}. Since y=xy = \sqrt{x}, substitute yy: D=(x3)2+(x)2.D = \sqrt{(x - 3)^2 + (\sqrt{x})^2}. Simplify: D=(x3)2+x.D = \sqrt{(x - 3)^2 + x}.


Step 2: Minimize the square of the distance

To simplify calculations, we minimize D2D^2 instead of DD. Let: f(x)=(x3)2+x.f(x) = (x - 3)^2 + x. The value of xx that minimizes f(x)f(x) will also minimize DD.


Step 3: Differentiate f(x)f(x)

Expand f(x)f(x): f(x)=(x3)2+x=x26x+9+x=x25x+9.f(x) = (x - 3)^2 + x = x^2 - 6x + 9 + x = x^2 - 5x + 9. Now, compute the derivative: f(x)=2x5.f'(x) = 2x - 5.


Step 4: Solve f(x)=0f'(x) = 0 (First Derivative Test)

Set f(x)=0f'(x) = 0: 2x5=0    x=52.2x - 5 = 0 \implies x = \frac{5}{2}.


Step 5: Verify the critical point

To confirm that x=52x = \frac{5}{2} is a minimum, examine the second derivative: f(x)=2.f''(x) = 2. Since f(x)>0f''(x) > 0, the function f(x)f(x) is concave up at x=52x = \frac{5}{2}, confirming a local minimum.


Step 6: Find the corresponding yy-coordinate

The corresponding yy-coordinate is: y=x=52.y = \sqrt{x} = \sqrt{\frac{5}{2}}.


Final Answer

The coordinates of the point on the curve closest to (3,0)(3, 0) are: (52,52).\left( \frac{5}{2}, \sqrt{\frac{5}{2}} \right).


Would you like further explanation or assistance with plotting? 😊


5 Follow-Up Questions:

  1. How would the method change if the point (3,0)(3, 0) were on the negative yy-axis?
  2. Can you verify the solution by finding the exact value of the minimum distance?
  3. What happens if the curve is changed to y=x2y = x^2?
  4. How does the choice of optimizing D2D^2 instead of DD simplify the process?
  5. Can we solve this problem using Lagrange multipliers? If so, how?

One Tip:

Always check the concavity using the second derivative or verify endpoints for a closed interval optimization problem.

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Math Problem Analysis

Mathematical Concepts

Optimization
Derivative Analysis
Distance Minimization

Formulas

Distance formula: D = sqrt((x - x1)^2 + (y - y1)^2)
Derivative of a function: f'(x)
Second derivative test: f''(x)

Theorems

First Derivative Test
Second Derivative Test for Concavity

Suitable Grade Level

Grades 11-12