Animated Solution for Mathematics - Vector Algebra: Let ABCD be a parallelogram such that AB=q, AD=p and ∠BAD be an acute angle. If r is the vector that coincide with the altitude directed from the vertex B to the side AD, then r is given by:
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Visualized Solution
Defining the Parallelogram and Vectors
Let ABCD be a parallelogram.
The adjacent sides are given by vectors AD=p and AB=q.
The angle ∠BAD is acute.
Introducing the Altitude Vector r
Drop a perpendicular from vertex B to the side AD.
Let the foot of this perpendicular be point X.
The vector coinciding with this altitude is r=BX.
Applying the Triangle Law of Vector Addition
Consider the right-angled triangle △ABX.
We need to relate the unknown vector BX with known vectors.
According to the triangle law of vector addition: BA+AX=BX.
Setting up the Vector Equation
From the triangle law: BX=BA+AX
We know that AB=q.
Therefore, the reversed vector BA=−q.
Substituting Known Vectors
Substitute BX=r and BA=−q into the equation.
r=−q+AX
To find r, we now only need to find the vector AX.
Geometric Interpretation of AX
What is the vector AX geometrically?
Since BX is perpendicular to AD, AX is the shadow of AB on AD.
Therefore, AX is the vector projection of q onto p.
Formula for Vector Projection
The vector projection of a vector a onto a vector b is given by:
projba=(∣b∣2a⋅b)b
This formula gives a vector in the direction of b with the correct magnitude.
Calculating the Projection AX
Applying the formula to our specific vectors:
Here, a=q and b=p.
AX=(∣p∣2q⋅p)p
Simplifying the Denominator
Recall the property of dot products: ∣p∣2=p⋅p
Also, the dot product is commutative: q⋅p=p⋅q
Substituting these, we get: AX=(p⋅p)(p⋅q)p
Final Substitution for r
We have our original equation: r=−q+AX
And we found: AX=(p⋅p)(p⋅q)p
Substituting AX back into the equation for r:
r=−q+(p⋅p)(p⋅q)p
Conclusion and Matching Options
The final expression for the altitude vector is:
r=−q+(p⋅p)(p⋅q)p
Comparing this with the given options, it perfectly matches Option 2.
Key Takeaway: Altitude vectors in parallelograms can be elegantly found using vector projections and the triangle law.
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The Sigma Insight: Scalar (Dot) Product
Solution Diagram
The Geometry of Shadows
Unlocking the Altitude Vector
Welcome, future engineer. Today, we are not just solving a vector problem; we are learning to see the hidden architecture of space. When you look at a parallelogram, most students see four lines. I want you to see a playground of vectors.
We are given a parallelogram ABCD with side vectors AD=p and AB=q. Our mission is to find the altitude vector r dropped from vertex B to the side AD. This isn't just about algebra; it is about decomposing motion.
Phase 1
The Triangle Law
Imagine standing at vertex A. You have two paths to get to B: you can go directly along q, or you can traverse the path of the altitude. Let's drop a perpendicular from B to the line AD, hitting at point X.
Now, look at the triangle △ABX. It is a right-angled triangle. This is our anchor.
By the triangle law of vector addition, we know that the vector BX (which is our altitude vector r) can be expressed as the sum of two vectors: BX=BA+AX.
Pause here. This is where many students stumble. We know AB=q. But our path in the triangle starts at B and goes to A.
Since we are reversing the direction of q, we must write BA=−q. Our equation now stands as r=−q+AX. We have successfully reduced the problem to finding the vector AX.
Phase 2
The Power of Projection
Now, what is AX? Geometrically, if you were to shine a light from directly above B perpendicular to the base AD, the segment AX is the shadow cast by the side AB.
In the language of linear algebra, AX is the vector projection of q onto p.
This is a beautiful concept. We are taking a vector q that is tilted at an angle and finding how much of it 'lies' along the direction of p. The formula for the projection of a vector a onto b is a standard tool in your JEE arsenal:
projba=(∣b∣2a⋅b)b
Applying this to our specific vectors, where a=q and b=p, we get:
AX=(∣p∣2q⋅p)p
Phase 3
The Final Synthesis
We are almost there. The problem asks for the answer in terms of dot products, not magnitudes. Recall that the square of the magnitude of a vector is simply the dot product of the vector with itself: ∣p∣2=p⋅p.
Furthermore, the dot product is commutative, so q⋅p=p⋅q. Substituting these into our expression for AX, we get:
AX=(p⋅p)(p⋅q)p
Now, we bring it all home. Substitute this back into our original equation for the altitude vector r:
r=−q+AX
r=−q+(p⋅p)(p⋅q)p
Look at that expression. It is elegant, precise, and perfectly matches our target. You have just decomposed a complex geometric altitude into a simple sum of vector components.
This is the essence of JEE Advanced physics and mathematics—taking a complex, intimidating shape and breaking it down into the fundamental language of vectors. Keep this intuition, and no geometry problem will ever be able to stop you.