Sigma Percentile
JEE Main 2019 (9 January)
LEVELJEE Main

Animated Solution for Mathematics - Matrices and Determinants: If Then A is-

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Visualized Solution

Invertibility Condition

  • A matrix is invertible if and only if its determinant .
  • Given matrix:

Factoring Column

  • To find , let's simplify the determinant by taking common factors.
  • Take common from the first column :

Factoring Columns and

  • Now, observe columns and .
  • Take common from and common from :

Simplifying the Scalar Factor

  • Simplify the external factor using the exponent rule :
  • So,

Row Operation

  • To evaluate the determinant easily, we create zeros in the first column.
  • Apply the row operation :

Row Operation

  • Apply another row operation to create a second zero:

Expanding Along Column

  • Expand the determinant along the first column :

Cross Multiplication Setup

  • Calculate the determinant using the formula :

Simplifying the Terms

  • Notice that because the negative sign squares to positive.
  • Also, factor out a negative sign from the second product:
  • So,

Expanding the Squares

  • Expand using the algebraic identity :

Final Trigonometric Simplification

  • Combine the expanded terms:
  • The and cancel out.
  • Factor out 5 and use :

Conclusion on Invertibility

  • We found that .
  • Since the exponential function for all real numbers , it follows that for all .
  • Conclusion: The determinant is never zero. Thus, the matrix is invertible for all .
  • Correct Option: invertible for all

The Sigma Insight: Adjoint and Inverse of a Matrix

The Illusion of Complexity

Mastering the Matrix
Welcome, future engineer. When you first look at this matrix , it is designed to intimidate you. You see exponentials, you see trigonometric functions, and you see a grid that looks like a nightmare to calculate.
But here is the secret of JEE Advanced: Complexity is often just a mask for elegance.

Phase 1

The Art of Factoring
Never dive headfirst into a determinant calculation. If you start expanding this matrix as it is, you will drown in a sea of and terms. Instead, look for the pattern.
Notice that the first column is dominated by . The second and third columns are dominated by . We can pull these out!
By factoring from the first column and from both the second and third columns, we transform the matrix into something much friendlier. We are left with an external scalar factor of:
Suddenly, the matrix inside the determinant is purely trigonometric. We have stripped away the noise to reveal the signal.

Phase 2

The Strategic Zeros
Now that we have a cleaner matrix, we need to make it even simpler. Our goal is to create zeros, as they are the best friends of a determinant expansion.
By applying the row operations and , we clear out the first column.
Imagine you are standing on the wedge of this problem. You have successfully reduced the first column to a single at the top, followed by two s. Now, expanding along this column is not a chore—it is a breeze. We only need to calculate the determinant of the remaining sub-matrix.

Phase 3

The Grand Finale
This is where the magic happens. We are left with a determinant involving terms like and . When you perform the cross-multiplication , you might feel a moment of panic as the expressions grow.
But stay calm. When you expand the squares, something beautiful occurs. The cross-terms—those pesky terms—will perfectly cancel each other out.
You are left with:
Factoring out the , we are left with the fundamental identity: .

The Conclusion

We arrive at the final result:
Think about this result. The exponential function is strictly positive for all . It never touches zero.
Therefore, the determinant is never zero. This means the matrix is invertible for all real values of .
You didn't just solve a problem; you navigated through a storm of variables to find a calm, constant truth. That is the essence of mathematics. Keep this mindset, and no matrix will ever intimidate you again.

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