Animated Solution for Mathematics - Three Dimensional Geometry: If the lines 1x−2=1y−3=−kz−4 and kx−1=2y−4=1z−5 are coplanar, then k can have
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Visualized Solution
Visualizing Coplanar Lines
Two lines are coplanar if they lie in the same plane.
L1:1x−2=1y−3=−kz−4
L2:kx−1=2y−4=1z−5
The Coplanarity Condition
For two lines to be coplanar, the scalar triple product must be zero.
P1P2⋅(d1×d2)=0
This translates to a determinant:
x2−x1a1a2y2−y1b1b2z2−z1c1c2=0
Extracting Data from Line 1
Line 1: 1x−2=1y−3=−kz−4
Point on L1: P1(2,3,4)
Direction of L1: d1=(1,1,−k)
Extracting Data from Line 2
Line 2: kx−1=2y−4=1z−5
Point on L2: P2(1,4,5)
Direction of L2: d2=(k,2,1)
The Connecting Vector
Vector connecting P1 and P2:
P1P2=(x2−x1,y2−y1,z2−z1)
P1P2=(1−2,4−3,5−4)
P1P2=(−1,1,1)
Setting Up the Determinant
Substitute the vectors into the determinant:
Row 1: P1P2=(−1,1,1)
Row 2: d1=(1,1,−k)
Row 3: d2=(k,2,1)
−11k1121−k1=0
Expanding the Determinant: Term 1
Expanding along the first row:
−1⋅12−k1
=−1⋅(1⋅1−(−k)⋅2)
=−1⋅(1+2k)
Expanding the Determinant: Term 2
Second term of the first row:
−1⋅1k−k1
=−1⋅(1⋅1−(−k)⋅k)
=−1⋅(1+k2)
Expanding the Determinant: Term 3
Third term of the first row:
+1⋅1k12
=1⋅(1⋅2−1⋅k)
=1⋅(2−k)
Simplifying the Equation
Combining all terms:
−1(1+2k)−1(1+k2)+1(2−k)=0
−1−2k−1−k2+2−k=0
−k2−3k=0
k2+3k=0
Solving for k
Factorizing the quadratic equation:
k(k+3)=0
This gives two possible solutions:
k=0
k=−3
Final Conclusion
The values of k are 0 and −3.
Total number of values = exactly two values.
The correct option is exactly two values.
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The Sigma Insight: Angle Between Two Lines
Solution Diagram
The Geometry of Alignment
Understanding Coplanar Lines
Imagine you are standing in a vast, empty room with two laser pointers. These two beams of light represent lines in three-dimensional space. Usually, these lines are 'skew'—they pass each other like ships in the night, never touching and never lying on the same flat surface.
However, we are dealing with a special case where these lines are coplanar. This means that we could slide a single, flat sheet of paper between them, and both lines would rest perfectly on that surface. This is the geometric reality we are exploring.
Phase 1
Extracting the DNA of the Lines
To solve this, we first need to understand the 'DNA' of our lines. Every line in 3D space is defined by a point it passes through and a direction vector.
For our first line, L1:1x−2=1y−3=−kz−4, we extract the point P1(2,3,4) and the direction vector d1=(1,1,−k).
Similarly, for our second line, L2:kx−1=2y−4=1z−5, we identify the point P2(1,4,5) and the direction vector d2=(k,2,1). We now have the building blocks required to force these lines onto the same plane.
Phase 2
The Bridge and the Volume
To connect these two lines, we create a bridge vector P1P2 that connects a point on the first line to a point on the second. By subtracting the coordinates, we get:
P1P2=(1−2,4−3,5−4)=(−1,1,1)
If these three vectors—the bridge P1P2, the direction d1, and the direction d2—all lie on the same plane, the volume of the parallelepiped they form must be zero. In the language of linear algebra, this is the scalar triple product:
P1P2⋅(d1×d2)=0
This condition is equivalent to stating that the determinant of the matrix formed by these vectors must be zero.
Phase 3
The Determinant Calculation
Let us set up our determinant:
−11k1121−k1=0
Expanding along the first row, we take the first element, −1, and multiply it by the determinant of the minor matrix:
−112−k1=−1(1−(−2k))=−1(1+2k)
Next, we move to the second element, 1. Applying the alternating sign rule, we subtract the product of 1 and its minor:
−11k−k1=−1(1−(−k2))=−1(1+k2)
Finally, the third element is 1, multiplied by its minor:
11k12=1(2−k)
Phase 4
The Elegant Cancellation
Now, we combine these terms:
−1−2k−1−k2+2−k=0
Observe the constants: −1−1+2 equals zero. They vanish, leaving us with a simple quadratic equation:
−k2−3k=0⇒k2+3k=0
Factoring this, we get k(k+3)=0. This yields two solutions: k=0 and k=−3.
We have found exactly two values for k that satisfy the condition of coplanarity. This is the power of vector geometry—it turns a complex spatial problem into a clean, solvable algebraic equation.