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JEE Main 2024 (29 Jan Shift 1)
LEVELJEE Main

Animated Solution for Mathematics - Vector Algebra: Let and be three non-zero vectors such that and are non-collinear if is collinear with , is collinear with and , then is equal to

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Visualized Solution

Initial Vectors

  • Given non-zero vectors
  • and are non-collinear

First Collinearity Condition

  • is collinear with
  • (where is a scalar)

Second Collinearity Condition

  • is collinear with
  • (where is a scalar)

Substitution Strategy

  • From Condition 1:

Plugging into Equation 2

  • Substitute into Condition 2:

Expanding the Expression

  • Expand the right side:

Linear Independence Property

  • Since and are non-collinear, we equate coefficients:
  • Coefficients of :
  • Coefficients of :

Solving for

  • From :

Solving for

  • Substitute into :

Final Vector Equation

  • Substitute into :

Comparing with Target Form

  • Rearrange to the form :
  • Comparing with :
  • ,

Final Answer Calculation

  • Calculate :
  • Final Answer: 35

The Sigma Insight: Scalar and Vector Quantities

Solution Diagram

Analyzing the Setup

Imagine you are standing in a vast, three-dimensional space. You have three non-zero vectors: , , and .
The problem provides a crucial piece of information: and are non-collinear. This is the anchor of our entire solution, as they define a plane and act as a coordinate system for any vector lying within that plane.

The First Bridge

Translating Collinearity
The problem presents us with two conditions. First, is collinear with .
In the language of linear algebra, this translates to a scalar relationship:
where is some unknown scalar. This implies that the vector sum points in the same direction as , scaled by .
Similarly, the second condition states that is collinear with :
where is another scalar. We now have two equations that act as bridges between our three vectors.

The Algebraic Dance

Substitution
Now, let's weave these equations together to find the relationship between , , and . From our first equation, we isolate :
We take this expression for and substitute it into our second equation:
Expanding the right side carefully, we obtain:

The Power of Linear Independence

Because and are non-collinear, they are linearly independent. This means that for a linear combination of and to equal another linear combination of the same vectors, the coefficients must match individually.
On the left side, the coefficient of is , and on the right, it is . Thus:
Similarly, for , the coefficient on the left is , and on the right, it is . Setting these equal:
Substituting our value for , we get , which leads us to:

The Final Revelation

We have found our scalars. Plugging back into our first equation:
Rearranging this to match the target form , we get:
Comparing this to the target equation, we identify and . The final step is to calculate the sum:

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