Animated Solution for Mathematics - Three Dimensional Geometry: Let ℓ1 and ℓ2 be the lines r1=λ(i^+j^+k^) and r2=(j^−k^)+μ(i^+k^), respectively. Let X be the set of all the planes H that contain the line ℓ1. For a plane H, let d(H) denote the smallest possible distance between the points of ℓ2 and H. Let H0 be plane in X for which d(H0) is the maximum value of d(H) as H varies over all planes in X. Match each entry in List-I to the correct entries in List-II.
List-I
(P)
(P) The value of d(H0) is
(Q)
(Q) The distance of the point (0,1,2) from H0 is
(R)
(R) The distance of origin from H0 is
(S)
(S) The distance of origin from the point of intersection of planes y=z,x=1 and H0 is
List-II
(1)
(1) 3
(2)
(2) 31
(3)
(3) 0
(4)
(4) 2
(5)
(5) 21
Select Matching Pairs:
* Multiple Allowed
PMatches
QMatches
RMatches
SMatches
Visualized Solution
Identify Lines ℓ1 and ℓ2
Line ℓ1: r1=λ(i^+j^+k^)
Passes through origin (0,0,0)
Direction vector b1=i^+j^+k^
Line ℓ2: r2=(j^−k^)+μ(i^+k^)
Passes through point P(0,1,−1)
Direction vector b2=i^+k^
Plane H Containing ℓ1
Let H be a plane containing line ℓ1.
Since ℓ1 passes through the origin (0,0,0), the plane H must also pass through the origin.
Equation of Plane H
General equation of a plane passing through origin:
ax+by+cz=0
Here, n=ai^+bj^+ck^ is the normal vector to the plane.
Condition for ℓ1 lying on H
Since line ℓ1 lies on plane H, n⊥b1.
n⋅b1=0
(a)(1)+(b)(1)+(c)(1)=0
a+b+c=0…(1)
Maximizing Distance d(H)
d(H) is the smallest distance between line ℓ2 and plane H.
To maximize d(H), line ℓ2 must be parallel to plane H.
Condition for ℓ2 parallel to H
If line ℓ2 is parallel to plane H, n⊥b2.
n⋅b2=0
Second Relation for a,b,c
n=(a,b,c) and b2=(1,0,1)
(a)(1)+(b)(0)+(c)(1)=0
a+c=0…(2)
Equation of Plane H0
From (2): c=−a
Substitute in (1): a+b−a=0⇒b=0
Plane equation: ax+(0)y+(−a)z=0
Simplifying: x−z=0
Calculating (P): Maximum Distance d(H0)
d(H0) is the distance from P(0,1,−1) on ℓ2 to H0.
Distance formula: d=A2+B2+C2∣Ax1+By1+Cz1+D∣
Evaluating (P)
d(H0)=12+02+(−1)2∣(1)(0)+(0)(1)−(1)(−1)∣
d(H0)=21
Therefore, (P) → (5)
Calculating (Q): Distance of (0,1,2) from H0
Find the distance of point Q(0,1,2) from plane H0:x−z=0.
dQ=12+02+(−1)2∣(1)(0)+(0)(1)−(1)(2)∣
Evaluating (Q)
dQ=1+1∣0−2∣
dQ=22=2
Therefore, (Q) → (4)
Calculating (R): Distance of Origin from H0
Find the distance of the origin (0,0,0) from plane H0:x−z=0.
Since (0,0,0) satisfies x−z=0, the point lies on the plane.
Distance = 0
Therefore, (R) → (3)
Calculating (S): Intersection of Planes
Intersection of y=z, x=1, and H0:x−z=0
From x=1 and x=z⇒z=1
From y=z⇒y=1
Intersection point is I(1,1,1).
Evaluating (S) and Final Conclusion
Distance of I(1,1,1) from origin (0,0,0):
dI=12+12+12=3
Therefore, (S) → (1)
Final Matching: (P)→5, (Q)→4, (R)→3, (S)→1
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The Sigma Insight: Equation of a Plane
Solution Diagram
Analyzing the Setup
Imagine you are standing in a vast, three-dimensional coordinate system. You have two lines, ℓ1 and ℓ2, floating in space.
Your mission is to find a specific plane H0 that contains ℓ1 and is positioned such that it is as far as possible from ℓ2. This is not just an algebraic exercise; it is a beautiful dance of vectors.
The Origin Constraint
We begin with line ℓ1, defined by r1=λ(i^+j^+k^). Notice that when λ=0, the position vector is the zero vector.
This means ℓ1 passes directly through the origin (0,0,0). If a plane H contains this line, it must also contain the origin.
This is a massive simplification! Instead of the general plane equation ax+by+cz+D=0, we can confidently write:
ax+by+cz=0
Our normal vector is n=(a,b,c).
The Parallelism Trap
Now, consider ℓ2, which passes through (0,1,−1) with direction b2=(1,0,1). We want to maximize the distance d(H) between ℓ2 and H.
If the line intersects the plane, the distance is zero. To maximize this, we need the line to be parallel to the plane.
Geometrically, this means the normal vector n must be perpendicular to the direction vector of the line. We have two conditions for our normal vector n:
1. It must be perpendicular to the direction of ℓ1, which is b1=(1,1,1), so n⋅b1=0.
2. It must be perpendicular to the direction of ℓ2, so n⋅b2=0.
The Algebraic Victory
Let us translate these conditions into equations. The first condition, n⋅b1=0, gives us:
a(1)+b(1)+c(1)=0⇒a+b+c=0
The second condition, n⋅b2=0, gives us:
a(1)+b(0)+c(1)=0⇒a+c=0
From the second equation, we see c=−a. Substituting this into the first equation, we get a+b−a=0, which implies b=0.
Our normal vector is (a,0,−a). We can choose a=1 to get the simplest normal vector (1,0,−1). Thus, the equation of our optimal plane H0 is:
x−z=0
Final Calculation
Now that we have H0:x−z=0, the rest is a series of elegant calculations. We use the distance formula:
d=A2+B2+C2∣Ax1+By1+Cz1+D∣
For (P): The maximum distance d(H0) is the distance from any point on ℓ2 (like (0,1,−1)) to the plane:
d=12+02+(−1)2∣(1)(0)+(0)(1)−(1)(−1)∣=21
For (Q): The distance of (0,1,2) from x−z=0 is:
d=12+(−1)2∣0−2∣=22=2
For (R): The distance of the origin from x−z=0 is clearly 0 because the origin lies on the plane.
For (S): We find the intersection of y=z, x=1, and x−z=0. Since x=1 and x=z, we have z=1. Since y=z, we have y=1.
The intersection point is (1,1,1). The distance of (1,1,1) from the origin is: