Sigma Percentile
JEE Main 2022 (24 June Shift 2)
LEVELJEE Main

Animated Solution for Mathematics - Matrices and Determinants: Let and let . Then the number of elements in is

Enter Numerical Value:

Visualized Solution

Defining the Set and Matrix

  • Given set contains matrices of the form .
  • The elements and belong to the set .

The Condition for

  • The set contains matrices from that satisfy .
  • We need to find the matrices that belong to .
  • This means the condition must hold for all from to .

Calculating

  • To understand higher powers of , let's first compute .

Analyzing the Diagonal Elements

  • Notice that is an upper triangular matrix.
  • For any upper triangular matrix, the diagonal elements of are simply the -th powers of the diagonal elements of .
  • So, the bottom-right element of will always be .

Deducing the Value of

  • We require .
  • The identity matrix has s on its diagonal.
  • Therefore, the bottom-right element must be , which means .
  • Since , the only possible value is .

Simplifying with

  • Let's substitute back into our expression for .
  • So, if , is exactly the identity matrix, regardless of the value of .

Analyzing the Exponent

  • Our target exponent is .
  • and are consecutive integers.
  • The product of any two consecutive integers is always an even number.
  • Let for some integer .

Verifying the Condition

  • We need to evaluate .
  • Substitute : .
  • Using exponent rules: .
  • Since we found , we have .
  • Thus, the condition is always satisfied when .

Counting the Valid Matrices

  • The condition holds for all if and only if .
  • The variable can be any integer from the set .
  • Number of choices for .
  • Number of choices for .
  • Total number of matrices in the intersection .

The Sigma Insight: Algebraic Operations on Matrices

Solution Diagram

Analyzing the Setup

Imagine you are standing before a vast, structured landscape of matrices. You have a set defined by , where and are integers dancing between and .
At first glance, this looks like a daunting combinatorial puzzle. How can we possibly find the intersection of one hundred different sets ?
Mathematics is not about brute force; it is about finding the hidden symmetry. Let us embark on this journey together.

The Power of

The condition for a matrix to be in is . This looks intimidating, but let us start small by squaring the matrix.
We compute:
Performing the row-by-column multiplication, the top-left element is . The top-right element becomes .
The bottom-left is , and the bottom-right is . This is our first breakthrough; notice how the top-right element depends on . If , that term vanishes entirely!

The Diagonal Constraint

Now, let us look at the diagonal elements. For any upper triangular matrix, raising it to a power simply raises its diagonal entries to that power.
Thus, the bottom-right element of is . Since we require , the diagonal elements of must be .
This forces . Given that is a positive integer between and , the only possible value is . If were anything else, would never be for all .

The Parity Insight

Now, let us revisit the exponent . You might be worried about the complexity of this exponent, but remember your number theory: the product of any two consecutive integers is always even.
We can write for some integer . This means:
We already know that if , then . And what happens when you raise the identity matrix to any power ? It remains the identity matrix, as .
The condition is satisfied perfectly for every single from to .

The Final Count

We have arrived at the finish line. We discovered that for a matrix to be in the intersection of all , it must satisfy .
The variable , however, is completely free. It can be any integer from to .
Since there is only choice for and choices for , the total number of such matrices is . You have navigated the complexity, simplified the matrix, and found the elegant solution hidden within.
The final answer is .

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