Sigma Percentile
JEE Main 2021 (February)
LEVELJEE Advanced

Animated Solution for Mathematics - Complex Numbers: Let z be those complex number which satisfy and , If the maximum value of is , then the value of is

Enter Numerical Value:

Visualized Solution

Visualizing the First Constraint

  • Given condition:
  • In the complex plane, represents a solid disk.
  • Center of the disk:
  • Radius of the disk:

Cartesian Form of the Disk

  • Let
  • Squaring both sides:

Analyzing the Second Constraint

  • Second condition:
  • We need to express this in terms of and .

Simplifying the Inequality

  • Substitute and :
  • The imaginary parts cancel out:

Plotting the Boundary Line

  • Rearranging gives:
  • The boundary is the line .
  • Notice that at , . It passes through the circle's center .

Identifying the Feasible Region

  • Condition 1: Inside the circle
  • Condition 2: Below or on the line
  • The intersection is a semi-disk.

Defining the Objective Function

  • Objective: Maximize
  • Let be the point .
  • is the square of the distance from to .

Locating Point Q

  • Check position of relative to the circle:
  • lies exactly on the boundary of the circle.
  • Also, for , is true, so it is in the feasible region.

Strategy for Maximum Distance

  • To maximize distance from , we need the farthest point in the semi-disk.
  • The extreme points will lie on the intersection of the circle and the line .

Finding Intersection Points

  • Substitute into :

Identifying the Farthest Point

  • Since , the points are:
  • Visually, is diametrically opposite to the general direction of , making it the farthest.

Setting Up the Distance Calculation

  • Calculate for and :

Executing the Calculation

Final Answer

  • Maximum value is
  • Given form:
  • Comparing terms: ,

The Sigma Insight: Geometrical Applications of Complex Numbers

Solution Diagram

Analyzing the Setup

Welcome, fellow traveler, to the fascinating world of complex numbers. Today, we are not just solving an equation; we are exploring a landscape. Imagine you are standing on the complex plane, a vast, two-dimensional stage where every point is a coordinate .
Our problem provides two constraints that define where our complex number is allowed to exist. The first constraint, , is a classic. In the language of geometry, represents a solid disk centered at with radius .
Here, our center is , which corresponds to the point , and our radius is . So, our complex number is trapped within a disk of radius centered at .

The Linear Constraint

Unmasking the Hidden Line
Now, let's look at the second, more intimidating constraint: . If we let , then . Substituting these into the inequality, we get:
Expanding this, we have . Notice how the imaginary parts, and , beautifully cancel each other out.
We are left with , which simplifies to , or . This is a simple linear inequality where the boundary is the line .
If you check the center of our circle, , you will see that , meaning the line passes exactly through the center of our disk. This divides our disk into two equal halves. The condition tells us we are looking at the region below or on this line, defining our feasible region as a semi-disk.

The Objective

Maximizing the Distance
Our goal is to maximize . Geometrically, is the distance between and the fixed point . Therefore, is the square of that distance.
Let's check where is. Plugging into the circle equation , we get . Point lies exactly on the boundary of the circle.
To maximize the distance from a point on the boundary of a disk, we should look at the opposite side of the disk. The furthest points will be the intersection of the circle and the line . Substituting into :
This yields , giving us . The corresponding values are . We have two points: and . Visually, is the point furthest from .

The Final Calculation

Now, let's calculate the square of the distance from to . The distance squared is . Substituting our coordinates:
This simplifies to . Expanding the first term, we get:
Adding the second term, which is , we get . We are given that the maximum value is . Comparing terms, we find and .
The final sum is .

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