Sigma Percentile
JEE Main 2024 (31 Jan Shift 2)
LEVELJEE Advanced

Animated Solution for Mathematics - Differentiation: Let a variable line passing through the centre of the circle , meet the positive co-ordinate axes at the point and . Then the minimum value of , where is the origin, is equal to

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Visualized Solution

Center of the Circle

  • Given circle:
  • Compare with standard form:
  • Center

Equation of the Variable Line

  • Let the line meet the axes at and .
  • Intercept form of the line:
  • Since the line meets the positive axes, and .

Line Passes Through Center

  • The line passes through the center .
  • Substitute into the line equation:

Isolating Variable

  • From , isolate the term with :

Domain Constraint for

  • We know (positive y-axis intercept).
  • Therefore, .
  • Since , the denominator must be positive: .

The Objective Function

  • We need to minimize the sum .
  • and .
  • Let .
  • Substitute :

Derivative of

  • Differentiate with respect to :
  • Using quotient rule for the second term:

Solving for Critical Points

  • Set to find extrema:
  • Taking square root:
  • or

Selecting the Valid Root

  • We have and .
  • Recall our domain constraint: .
  • Therefore, is rejected.
  • The only valid critical point is .

Final Calculation of

  • Substitute back into the equation for :
  • The minimum sum is .

The Sigma Insight: Maxima and Minima

Solution Diagram

Analyzing the Geometry of the Line and the Circle

Welcome, future engineer. Today, we are going to peel back the layers of a problem that beautifully marries coordinate geometry with the art of optimization. It is not just about finding a number; it is about understanding how a line, constrained by a circle, dances across the axes.

Phase 1

Decoding the Circle
We begin with the equation . To understand the circle, we must find its heart—the center.
By comparing this to the standard form , we identify the center at . Imagine this point as a fixed anchor in the first quadrant. Our variable line is tethered to this anchor, pivoting around it while slicing through the coordinate axes.

Phase 2

The Variable Line
When a line cuts the axes at and , the most powerful tool in our arsenal is the intercept form:
This equation is elegant because it directly relates the intercepts and to the line's position. Since the line passes through the center , we substitute these coordinates into our equation:
This is the constraint that binds our variables together.

Phase 3

The Constraint and the Objective
We want to minimize the sum of the distances , which is simply . To minimize this, we need in terms of a single variable.
From our constraint, we isolate :
Before we proceed, pause and look at the denominator. For to be positive (as the line hits the positive axes), must be positive. Thus, we have a vital domain constraint: .

Phase 4

The Calculus of Optimization
Now, we define our objective function:
To find the minimum, we take the derivative with respect to :
Applying the quotient rule, we get:
Setting leads us to , which yields . This gives us or .
Recalling our constraint , we immediately reject . The only valid critical point is .

The Final Verdict

With , we find:
The minimum sum is . We have successfully navigated the constraints and optimized the function.
The minimum value of the sum is 18.

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