Animated Solution for Mathematics - Differentiation: The shortest distance between the point (23,0) and the curve y=x,(x>0) is :
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Visualized Solution
Visualizing the Curve and Point P
Given point P(23,0)
Curve y=x,(x>0)
Objective: Find the shortest distance between P and the curve.
Parameterizing Point Q on the Curve
Let a general point on the curve be Q(x,y)
Since y=x, we have x=y2
Let y=t, then Q=(t2,t) where t>0
Applying the Distance Formula
Distance d between P(23,0) and Q(t2,t) is:
d=(x2−x1)2+(y2−y1)2
Substituting Coordinates into the Formula
d=(t2−23)2+(t−0)2
This represents the distance for any point Q on the curve.
Expanding the Squared Term
Focus on d2=(t2−23)2+t2
Expand: (t2−23)2=t4−2(t2)(23)+(23)2
=t4−3t2+49
Simplifying the Distance Squared Expression
d2=t4−3t2+49+t2
Combine like terms: −3t2+t2=−2t2
d2=t4−2t2+49
Completing the Square Strategy
To minimize d2=t4−2t2+49
Split 49 into 1+45
d2=(t4−2t2+1)+45
Rewriting as a Perfect Square
d2=(t2−1)2+45
This form shows a squared term plus a constant.
Finding the Minimum Condition
Minimum value of (t2−1)2 is 0
This occurs when t2=1 (i.e., t=1 since t>0)
Minimum d2=0+45=45
Calculating the Shortest Distance
Shortest distance d=45
d=45
d=25
Final Answer and Summary
The shortest distance is 25
Correct Option: (A)
Key Takeaway: Parameterization and completing the square are powerful tools for distance problems.
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The Sigma Insight: Maxima and Minima
Solution Diagram
The Geometry of Optimization
A Journey to the Shortest Path
Imagine you are standing on the Cartesian plane. You are anchored at the point P(23,0), and before you lies the graceful, sweeping arc of the curve y=x.
Your mission is to find the shortest possible distance between your position and any point on that curve. This is a fundamental challenge of optimization that appears everywhere from physics to machine learning.
Phase 1
The Art of Parameterization
Most students immediately try to write the distance formula using x and y. They write Q(x,x) and then try to minimize the distance formula. While this is mathematically correct, it is a trap.
The square root of x makes the algebra messy and prone to errors. Instead, let us be clever and parameterize the curve. If we define the y-coordinate as a parameter t, then the x-coordinate must be t2 (since y=x implies x=y2).
Now, any point Q on the curve can be represented as Q(t2,t). This simple shift turns a radical expression into a polynomial, which is much friendlier to manipulate.
Phase 2
The Distance Formula
Now that we have our point Q(t2,t) and our fixed point P(23,0), we apply the distance formula:
d=(t2−23)2+(t−0)2
As we noted, working with the square root is unnecessary. Let us focus on the square of the distance, d2, because the value of t that minimizes d2 will also minimize d.
So, we define our function as:
d2=(t2−23)2+t2
Phase 3
The Algebraic Dance
Now, we expand the expression. Using the identity (a−b)2=a2−2ab+b2, we expand (t2−23)2 to get:
t4−3t2+49
Adding the remaining t2 term, our expression becomes:
d2=t4−3t2+49+t2
Combining the like terms, we arrive at the simplified quadratic-like form:
d2=t4−2t2+49
Phase 4
The Masterstroke
We could differentiate this with respect to t and set it to zero, but there is a more elegant path. Look at the expression t4−2t2. It looks remarkably like the expansion of (t2−1)2, which is t4−2t2+1.
We can force this structure by splitting the constant 49 into 1+45. Thus, our expression becomes:
d2=(t4−2t2+1)+45
This simplifies to:
d2=(t2−1)2+45
This is the moment of clarity. Since (t2−1)2 is a square, its minimum value is 0, which occurs when t2=1. Therefore, the minimum value of d2 is simply 45.
Conclusion
Finally, we return to the distance d. Since d2=45, we take the square root to find:
d=45=25
We have successfully navigated the geometry, parameterized the curve, and used algebraic completion to find the shortest distance. The final answer is 25, which corresponds to option (A).
Remember, the most difficult problems often yield to the most elegant simplifications. Keep practicing, and keep looking for the structure hidden within the equations.