Analyzing the Setup
Imagine you are standing at a point P(0,c) on the y-axis, looking down at the elegant curve of the parabola y=x2. You want to find the shortest path to reach the curve.
We have a fixed point P(0,c) and a moving point Q(x,y) on the parabola. The distance D between them is given by the distance formula:
This is our starting point, but the square root is a heavy burden to carry through differentiation.
The Power of Substitution
We know that for any point Q on the parabola, y=x2. This is the key that unlocks the problem. Instead of juggling two variables, x and y, we can eliminate x entirely.
Since x2=y, our distance formula becomes much cleaner. We choose to minimize the squared distance D2 because the value of y that minimizes D2 will also minimize D.
We define our function:
Substituting x2=y, we get D2=y+(y−c)2. Expanding this, we arrive at a beautiful quadratic function:
The Calculus Engine
Now, we let calculus do the heavy lifting. To find the minimum of this quadratic function, we take the derivative with respect to y:
f′(y)=dyd[y2+(1−2c)y+c2]
This yields f′(y)=2y+(1−2c). Setting this derivative to zero, we find the critical point:
This y-coordinate represents the vertical position on the parabola that is closest to our point P.
The Final Reveal
With our optimal y in hand, we substitute it back into our squared distance formula to find the minimum value:
Watch the magic happen as the c terms cancel out:
This simplifies to D2=c−21+41, which results in:
Finally, taking the square root, we find the shortest distance:
This result is valid for c≥21. If c is smaller, the geometry shifts, and the vertex becomes the closest point.