Sigma Percentile
JEE Main 2004
LEVELJEE Main

Animated Solution for Mathematics - Vector Algebra: Let and be three non-zero vectors such that no two of these are collinear. If the vector is collinear with and is collinear with ( being some non-zero scalar) then equals

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Visualized Solution

Visualizing the Vectors

  • Given non-zero vectors:
  • Condition: No two vectors are collinear.
  • Goal: Find the value of

Condition 1: Collinearity with

  • Condition 1: is collinear with
  • Mathematical Form: for some scalar

Condition 2: Collinearity with

  • Condition 2: is collinear with
  • Mathematical Form: for some scalar

Expressing the Target Vector (Method 1)

  • Target:
  • From Equation 1:
  • Substitute this into the target expression.

Simplifying Method 1

  • Factor out :

Expressing the Target Vector (Method 2)

  • From Equation 2:
  • Multiply by 2:
  • Substitute this into

Simplifying Method 2

  • Factor out :

Equating the Two Expressions

  • We have two expressions for the same vector :
  • and
  • Equating them:
  • Rearranging:

Applying Linear Independence

  • Since and are non-collinear, they are linearly independent.
  • A linear combination implies and .
  • Therefore, the coefficients must be zero:
  • and

Final Calculation and Result

  • Solving for :
  • Substitute into :
  • Final Answer:

The Sigma Insight: Addition of Vectors

Solution Diagram

Analyzing the Setup

Imagine you are standing in a vast, three-dimensional space with three vectors: , , and . These vectors are non-zero, and no two of them are collinear, meaning they point in unique, independent directions.
Our mission is to evaluate the vector expression:

Decoding the Conditions

The problem provides two vital pieces of information. First, is collinear with . In vector language, this implies:
where is a scalar.
Second, is collinear with . Following the same logic, we write:
where is another scalar. These two equations are the keys to solving the system.

The Art of Substitution

Consider our target vector . We can substitute the first condition into this expression:
Alternatively, take the second equation and multiply it by :
Now, substitute this into the target expression :

The Power of Linear Independence

We now have two expressions for the same vector :
Equating these two, we get:
Because and are not collinear, they are linearly independent. A linear combination of independent vectors equals the zero vector if and only if the coefficients are zero:

The Grand Finale

From , we find . Substituting this back into our first expression for :
The entire expression collapses into the zero vector. The final result is:

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