Animated Solution for Mathematics - Vector Algebra: Let a=i^−j^, b=j^−k^, c=k^−i^. If d is a unit vector such that a⋅d=0=[bcd], then d equals
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Visualized Solution
Defining Vector d
Let d=xi^+yj^+zk^
Since d is a unit vector, ∣d∣=1
Therefore, x2+y2+z2=1 (Equation 1)
Applying a⋅d=0
Given a⋅d=0 where a=i^−j^
(i^−j^)⋅(xi^+yj^+zk^)=0
x(1)+y(−1)+z(0)=0
x−y=0⟹x=y (Equation 2)
Understanding Coplanarity
Given [bcd]=0
This means d is coplanar with b and c
Geometrically, d must be perpendicular to the normal vector n=b×c
Calculating b×c
b×c=(j^−k^)×(k^−i^)
n=i^0−1j^10k^−11
n=i^(1−0)−j^(0−1)+k^(0−(−1))
n=i^+j^+k^
Relating x,y, and z
Since d⊥n, then d⋅n=0
(xi^+yj^+zk^)⋅(i^+j^+k^)=0
x+y+z=0
Substitute y=x: x+x+z=0
2x+z=0⟹z=−2x (Equation 3)
Solving for x
Substitute y=x and z=−2x into x2+y2+z2=1
x2+(x)2+(−2x)2=1
x2+x2+4x2=1
6x2=1⟹x=±61
Final Vector d
Since x=±61, then y=±61 and z=∓62
d=xi^+yj^+zk^
d=±61i^±61j^∓62k^
d=±6i^+j^−2k^
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The Sigma Insight: Scalar Triple Product
Solution Diagram
The Geometry of Constraints
A Vector Detective Story
Welcome, fellow explorer of the JEE Advanced landscape. Today, we are not just solving a problem; we are performing a geometric investigation.
We have an unknown vector d, and it is hiding behind a veil of constraints. Our job is to strip away that veil using the power of vector algebra.
Phase 1
The Foundation of the Unknown
We begin by defining our target. Since we know nothing about d, we assume the most general form: d=xi^+yj^+zk^.
But wait—the problem gives us a gift. It tells us d is a unit vector. This is not just a label; it is a mathematical anchor.
It means the magnitude is unity, leading us to our first foundational equation:
x2+y2+z2=1
Keep this equation close. It is the gatekeeper that will allow us to solve for the specific values of x, y, and z once we find their relationships.
Phase 2
The Orthogonality Filter
Next, we look at the condition a⋅d=0. In the world of vectors, a dot product of zero is a loud signal: it screams perpendicularity.
We are told a=i^−j^. When we compute the dot product with our unknown d, we get:
(i^−j^)⋅(xi^+yj^+zk^)=0
This simplifies beautifully to x−y=0, or x=y. Just like that, we have reduced our degrees of freedom. We no longer have three unknowns; we have two.
Phase 3
The Coplanarity Key
Now, we face the most intimidating part of the problem: [bcd]=0. Do not let the notation scare you.
The scalar triple product is simply the volume of a parallelepiped. If the volume is zero, the vectors are trapped in a flat, two-dimensional plane. This means d is coplanar with b and c.
If d lives in the plane defined by b and c, it must be perpendicular to the normal of that plane. How do we find that normal? We use the cross product: n=b×c.
Calculating this determinant is a rite of passage:
n=i^0−1j^10k^−11=i^+j^+k^
Since d is perpendicular to this normal n, their dot product must also be zero:
(xi^+yj^+zk^)⋅(i^+j^+k^)=0⟹x+y+z=0
Phase 4
The Synthesis
We are in the endgame. We have x=y from our first condition, and x+y+z=0 from our second.
Substituting y=x into the second equation gives us 2x+z=0, or z=−2x. Now, every component of d is expressed in terms of x:
d=xi^+xj^−2xk^
Finally, we return to our anchor—the unit vector condition x2+y2+z2=1. Substituting our expressions for y and z:
x2+x2+(−2x)2=1⟹6x2=1⟹x=±61
With x determined, the vector d reveals itself. By substituting x back into our expression, we arrive at the final result:
d=±6i^+j^−2k^
Look at that elegance. We navigated through orthogonality, coplanarity, and normalization to find the exact orientation of our vector. You have successfully decoded the geometry. Well done.