Animated Solution for Mathematics - Vector Algebra: Let a=−5i^+j^−3k^, b=i^+2j^−4k^ and c=(((a×b)×i^)×i^)×i^. Then c⋅(−i^+j^+k^) is equal to
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Visualized Solution
Defining the Vectors a and b
Given vectors:
a=−5i^+j^−3k^
b=i^+2j^−4k^
The Vector Triple Product Identity
Identify the innermost expression: (a×b)×i^
Apply Vector Triple Product (VTP) identity:
(u×v)×w=(u⋅w)v−(v⋅w)u
In our case: (a×b)×i^=(a⋅i^)b−(b⋅i^)a
Calculating Dot Products with i^
Calculate individual dot products:
a⋅i^=(−5i^+j^−3k^)⋅i^=−5
b⋅i^=(i^+2j^−4k^)⋅i^=1
Evaluating the First Triple Product
Substitute values into the VTP formula:
v1=(a×b)×i^=−5b−1a
=−5(i^+2j^−4k^)−(−5i^+j^−3k^)
=−11j^+23k^
Second Cross Product with i^
Next operation: v2=v1×i^
=(−11j^+23k^)×i^
Using j^×i^=−k^ and k^×i^=j^:
=−11(−k^)+23(j^)=23j^+11k^
Finding Vector c
Final operation for c: c=v2×i^
=(23j^+11k^)×i^
=23(−k^)+11(j^)
c=11j^−23k^
The Final Dot Product Setup
Target expression: c⋅(−i^+j^+k^)
Substitute c=11j^−23k^:
=(0i^+11j^−23k^)⋅(−i^+j^+k^)
Final Calculation
Perform the dot product:
=0(−1)+11(1)+(−23)(1)
=0+11−23
=−12
Conclusion and Key Takeaway
Final Answer:−12
Key Takeaway: Use the VTP identity to simplify nested cross products quickly.
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The Sigma Insight: Vector Triple Product
Solution Diagram
Analyzing the Strategy
In the realm of JEE Advanced, brute force is often a time-consuming trap. When faced with a nested expression like c=(((a×b)×i^)×i^)×i^, the most efficient approach is to utilize the Vector Triple Product (VTP) identity.
The identity states:
(u×v)×w=(u⋅w)v−(v⋅w)u
This formula is powerful because it transforms a complex cross product into a simple linear combination of vectors using only scalar dot products.
Applying the Identity
Let us apply this to the innermost expression: (a×b)×i^. Here, we set u=a, v=b, and w=i^.
The identity yields:
(a⋅i^)b−(b⋅i^)a
Given a=−5i^+j^−3k^ and b=i^+2j^−4k^, the dot products are trivial:
a⋅i^=−5 and b⋅i^=1.
Substituting these values, we obtain:
−5b−1a=−5(i^+2j^−4k^)−(−5i^+j^−3k^)
−5i^−10j^+20k^+5i^−j^+3k^=−11j^+23k^
Final Vector Reduction
We are now left with the remaining operations: ((−11j^+23k^)×i^)×i^. Using the cyclic properties of unit vectors (j^×i^=−k^ and k^×i^=j^), we proceed step-by-step.
First, compute the inner cross product:
(−11j^+23k^)×i^=−11(j^×i^)+23(k^×i^)=11k^+23j^
Next, compute the final cross product:
(23j^+11k^)×i^=23(j^×i^)+11(k^×i^)=−23k^+11j^
Final Calculation
Finally, we compute the dot product of the resulting vector (11j^−23k^) with the vector (−i^+j^+k^):
(0)(−1)+(11)(1)+(−23)(1)=11−23=−12
By choosing the right identity and leveraging symmetry, the complexity melts away. The final result is −12.