Sigma Percentile
JEE Main 2023 (25 January Shift 1)
LEVELJEE Main

Animated Solution for Mathematics - Vector Algebra: Let and be three non zero vectors such that and . If be a vector such that , then is equal to

Select Answer:

Visualized Solution

Visualizing the Orthogonal Vectors

  • Given non-zero vectors
  • Condition 1:
  • Vectors and are perfectly orthogonal to each other.

The Vector Triple Product Condition

  • Condition 2:
  • The resultant vector lies entirely in the plane formed by and .

Expanding the Vector Triple Product

  • Recall the Vector Triple Product (VTP) expansion formula:

Equating the Expressions

  • Equating our expansion to the given condition:

Comparing Coefficients of

  • Since and are linearly independent, compare coefficients of :

Comparing Coefficients of

  • Now, compare coefficients of :

Introducing Vector

  • Given condition for the new vector :

Evaluating

  • Substitute the value of we just found:

The Target Expression

  • Our ultimate target to evaluate is:

Interchanging Dot and Cross

  • Use the scalar triple product property to interchange dot and cross:

Expanding the Inner VTP

  • Expand the inner Vector Triple Product :

Applying Orthogonality

  • Substitute into the expansion:

Simplifying the Target Expression

  • Substitute the simplified VTP back into the target expression:

Final Numerical Substitution

  • Substitute the numerical values and :
  • Final Answer:

The Sigma Insight: Vector Triple Product

Solution Diagram

The Dance of Vectors

Unlocking the Triple Product
My dear student, welcome to the arena. Today, we are not just solving a problem; we are choreographing a dance between vectors.
When you look at an expression like , do not see a wall of symbols. See a map. This equation is telling us exactly how these vectors are oriented in space.
Let us peel back the layers together.

Phase 1

The BAC-CAB Revelation
We begin with the Vector Triple Product. You have likely memorized the identity:
But have you ever stopped to appreciate its elegance? It takes a cross product—a vector—and transforms it into a linear combination of the vectors and .
We are given that . By equating our expansion to this given condition, we get:
Because and are orthogonal and non-zero, they are linearly independent. This is our golden ticket!
It allows us to equate the coefficients directly. We instantly find that and . Just like that, the complexity begins to dissolve.

Phase 2

The Mystery of Vector
The problem introduces a new player: vector . We are told .
Since we just discovered that , we now know that . Keep this value close; it is the key to the final lock.

Phase 3

The Grand Finale
Now, we face the target: . This is a scalar quadruple product.
It looks terrifying, doesn't it? But remember, in JEE physics and math, we rarely fight monsters head-on. We use strategy.
We can treat as a single vector and use the property of the scalar triple product to shift the cross product:
Now, look at the inner term: . We apply the BAC-CAB rule again:
Here is the moment of triumph. We know . The entire second term vanishes into thin air!
We are left with:
Substitute our known values:
There it is. The chaos has settled into a simple, beautiful fraction. The final answer is .
You didn't just solve a problem; you navigated the geometry of space. Keep this confidence with you—you are ready for the next challenge.

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