Sigma Percentile
JEE Main 2005
LEVELJEE Main

Animated Solution for Mathematics - Matrices and Determinants: If are in G.P., then the determinant is equal to

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Visualized Solution

The Given Determinant

  • We are given a sequence which is a Geometric Progression (G.P.).
  • We need to evaluate the determinant .

General Term of a G.P.

  • Let the first term of the G.P. be .
  • Let the common ratio be .
  • The general term is given by the formula:

Applying Logarithm to the General Term

  • Take the logarithm on both sides of :

Expanding the Logarithmic Expression

  • Using the product rule:
  • Using the power rule:

Analyzing the Determinant Elements

  • Let's apply this to the first row elements:

The Structure of the Determinant

  • Every element in the determinant has the form .
  • The determinant can be written as:

First Column Operation:

  • Let's apply the column operation:
  • For the first row:

Updating the Determinant after

  • This subtraction yields for every element in the new second column.

Second Column Operation:

  • Let's apply a similar operation to the third column using the original columns:
  • For the first row:

Updating the Determinant after

  • This subtraction yields for every element in the new third column.

Final Evaluation of the Determinant

  • Observe the simplified determinant.
  • Column 2 () and Column 3 () are identical.
  • Property of Determinants: If any two rows or columns of a determinant are identical, its value is zero.
  • Therefore, .

The Sigma Insight: Properties of Determinants

Analyzing the Setup

We are given a sequence which is a Geometric Progression. This means any term can be written as , where is the first term and is the common ratio.
Now, consider the determinant where every entry is a logarithm of a G.P. term. Applying the logarithm to our general term, we get:
Using the fundamental properties of logarithms, this splits into , which further simplifies to:
This is the key insight. We have transformed a multiplicative sequence into an additive one, where every entry in our determinant is of the form .

The Power of Column Operations

Given the linear structure derived above, the determinant can be expressed as:
When you see a determinant where the entries are in an Arithmetic Progression, your first instinct should be to simplify using column operations. Let us perform the operation .
For any row, the terms will cancel out, and the difference in the coefficients of will be exactly one. For example, in the first row, we get:
This result holds for every row. Consequently, our determinant now has a second column consisting entirely of .

The Final Cancellation

We proceed by performing the operation . Again, the terms vanish, and the difference in the coefficients of is once more exactly one.
The third column also becomes a column of . Now, observe the resulting matrix:
We have two identical columns. A fundamental property of determinants states that if any two rows or columns are identical, the value of the determinant is zero.
And just like that, the intimidating wall of logarithms collapses. The final value of the determinant is 0.

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