Sigma Percentile
JEE Advanced 1989
LEVELJEE Main

Animated Solution for Mathematics - Matrices and Determinants: Let . Show that , a constant.

Visualized Solution

The Determinant Summation Problem

  • Given determinant:
  • Objective: Evaluate

Independence of Columns

  • Observe columns and .
  • They contain only and constants.
  • Only depends on the summation variable .

Summation Property of Determinants

  • If only one column depends on , the summation can be taken inside that column.

Evaluating

  • Sum of first natural numbers.

Evaluating

  • Sum of squares of first natural numbers.

Evaluating

  • Sum of cubes of first natural numbers.

Analyzing the Evaluated Determinant

  • The first column is now fully evaluated in terms of .
  • Let's compare and to find a pattern.

Extracting Common Factors

  • Notice the first element of is . The first element of is .
  • Ratio for the first row: .
  • Let's check if this ratio holds for the second row: . It matches!

Determinant of Proportional Columns

  • Since , the columns are proportional.
  • Property: If two columns of a determinant are proportional, its value is .
  • , which is a constant .

The Sigma Insight: Properties of Determinants

Solution Diagram

Analyzing the Setup

The determinant is given by:
For many students, the instinct is to panic. You see powers of , you see , and you see a summation sign .
The immediate, desperate urge is to expand this matrix, multiply everything out, and hope for a cancellation. But stop. Take a deep breath.
In the world of JEE Advanced, brute force is rarely the intended path. It is a trap designed to consume your time and drain your energy. Today, we are going to learn how to look at this problem like a detective, not a calculator.

The Detective's First Clue

Column Independence
Before we touch a single formula, let us observe. Look at the columns of our determinant.
Column 2 contains , , and . Column 3 contains , , and .
Do you see the variable anywhere in these two columns? No. They are completely static. They are islands of stability in a sea of changing variables.
Only the first column, , contains the variable . This is the 'Aha!' moment.
In linear algebra, the determinant is a multilinear function of its columns. This means that if only one column varies with our summation index , we do not need to sum the entire determinant times.
We can simply push the summation operator inside the determinant and apply it directly to the elements of the first column. It is like finding a secret door that bypasses the entire maze.

The Summation Grind

Breaking Down the Elements
Now that we have established that:
We must evaluate these sums. Let . As goes from to , goes from to .
We are essentially summing the first natural numbers, their squares, and their cubes.
For the first element, we have:
For the second element, we have:
For the third element, the sum of cubes, we have:
These are standard results, but writing them out clearly is vital. Do not rush this. A single sign error here will ruin the elegance of the final result.

The Climax

The Beauty of Proportionality
Now, look at our new determinant. It looks heavy, doesn't it? But remember, in determinant problems, whenever you see complex algebraic expressions, always look for proportionality.
Let us compare our new first column with the third column. The first element of is , and the first element of is .
If we divide by , we get a ratio of . Now, let us test this ratio on the second row.
We have . If we multiply this by our ratio , we get:
This is exactly our ! The ratio holds. When we check the third row, the pattern continues.
We have discovered that . In the language of determinants, if one column is a scalar multiple of another, the determinant is zero.
We have proven that . Zero is a constant. We have conquered the monster.

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