Sigma Percentile
JEE Main 2025 (January)
LEVELJEE Main

Animated Solution for Mathematics - Differentiation: The sum of all local minimum values of the function is

Select Answer:

Visualized Solution

Understanding the Piecewise Function

  • The function is defined piecewise in three distinct regions:
  • Region 1:
  • Region 2:
  • Region 3:

Analyzing Region 1:

  • For ,
  • This is a linear function with slope .
  • Since , the function is strictly decreasing in this interval.

Analyzing Region 2:

  • For ,
  • Sub-case (i):
  • The modulus opens negatively:
  • Slope , so it continues to decrease.

Analyzing Region 2:

  • Sub-case (ii):
  • The modulus opens positively:
  • Slope , so the function is now increasing.

First Local Minimum at

  • The function changes from decreasing to increasing at .
  • This indicates a local minimum.
  • Value:

Checking Discontinuity at

  • Left hand limit:
  • Right hand limit:
  • There is a jump discontinuity at .
  • Since , is a local maximum, not a minimum.

Analyzing Region 3:

  • For ,
  • Expanding gives:
  • This represents an upward-opening parabola.

Second Local Minimum at

  • The vertex of the parabola occurs at
  • Substitute into :
  • Local Minimum 2:

Summing the Minimum Values

  • Sum of local minimum values =
  • Sum =
  • Sum =
  • Final Answer:

The Sigma Insight: Maxima and Minima

Solution Diagram

The Landscape of Piecewise Functions

Imagine you are standing on a vast, rugged terrain. This terrain isn't a single, smooth hill; it is a landscape composed of three distinct, connected sections.
This is exactly what a piecewise function like represents. To find the local minima, we aren't just solving an equation; we are exploring this terrain to find the lowest valleys.

Phase 1

The Linear Descent ()
In the first region, where , the function is defined as . This is a simple, straight path with a constant negative slope of .
As you walk along this path, you are constantly descending. There is no valley here, just a continuous slide downward. Since the function is strictly decreasing, we can confidently say there are no local minima in this region.

Phase 2

The Modulus Valley ()
Now, we enter the second region, defined for as:
This is where the terrain gets interesting. The modulus function acts like a mirror, reflecting the path. We must split this at .
For , the function is , which continues our descent. But at , the path hits a sharp turn.
For , the function becomes , and suddenly, the slope becomes positive. We have found our first valley.
By substituting into the function, we find the first local minimum value:

Phase 3

The Jump Discontinuity ()
As we approach , we encounter a cliff. If we look at the left-hand limit, , but the right-hand limit, using the third definition, drops to:
This is a massive jump discontinuity. Because the value at is higher than the values immediately to its right, this point is a local maximum, not a minimum. We must be careful not to fall into this trap!

Phase 4

The Parabolic Vertex ()
Finally, we reach the third region, where . The function is .
If we expand this, we get , which is an upward-opening parabola. Every parabola has a vertex—the absolute lowest point of that curve.
We find this vertex using the formula , which gives us . This is well within our region .
Let's calculate the value at this valley:
This is our second local minimum!

The Final Summation

We have traversed the entire landscape and identified our two valleys. The first valley is at , and the second is at .
The problem asks for the sum of all local minimum values. Let's combine them:
To add these, we need a common denominator, which is . Converting , we get .
Now, . We have successfully navigated the terrain and found the sum of our local minima. The final result is .

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