Q89.Marks: +2.0UGC NET Paper 2: Computer Science 2nd January 2026 Shift 1
If Kn is complete simple graph of n vertices and Km,n is complete bipartite graph then arrange the following non-planner graph in ascending order on the bases of the minimum number of crossings.
A. K6
B. K7
C. K4,4
D. K5,5
Choose the correct answer from the options given below:
1.A, B, C, D
2.C, D, A, B
3.A, C, B, D✓ Correct
4.B, D, A, C
Solution
The correct answer is A, C, B, D.
Key Points
The problem involves arranging graphs based on the minimum number of edge crossings, and the given graphs are K6, K7, K4,4, and K5,5.
The formula for calculating the minimum number of crossings for a complete graph Kn is given by: cr(Kn) = ⌊(1/4) * ⌊n/2⌋ * ⌊(n-1)/2⌋ * ⌊(n-2)/2⌋ * ⌊(n-3)/2⌋ ⌋.
For a complete bipartite graph Km,n, the formula for the minimum number of crossings is: cr(Km,n) = ⌊(1/2) * ⌊m⌋ * ⌊m-1⌋ * ⌊n⌋ * ⌊n-1⌋ / (m + n - 2) ⌋.
Using these formulas, we can calculate and compare the minimum number of crossings for each graph and arrange them in ascending order.
Step-by-Step Solution
Step 1: Calculate cr(K6):
Using the formula for complete graphs: cr(K6) = ⌊(1/4) * 3 * 2 * 2 * 1 ⌋ = ⌊3⌋ = 3.
Step 2: Calculate cr(K7):
Using the formula for complete graphs: cr(K7) = ⌊(1/4) * 3 * 3 * 2 * 1 ⌋ = ⌊4.5⌋ = 4.
Step 3: Calculate cr(K4,4):
Using the formula for complete bipartite graphs: cr(K4,4) = ⌊(1/2) * 4 * 3 * 4 * 3 / (4 + 4 - 2) ⌋ = ⌊72 / 6⌋ = 12.
Step 4: Calculate cr(K5,5):
Using the formula for complete bipartite graphs: cr(K5,5) = ⌊(1/2) * 5 * 4 * 5 * 4 / (5 + 5 - 2) ⌋ = ⌊200 / 8⌋ = 25.
Step 5: Arrange the graphs in ascending order:
From the calculations: cr(K6) = 3, cr(K7) = 4, cr(K4,4) = 12, cr(K5,5) = 25.
Ascending order: K6, K4,4, K7, K5,5, which corresponds to the order A, C, B, D.
Additional Information
Planar Graphs:
A graph is planar if it can be drawn on a plane without any edges crossing.
Examples of planar graphs include K4 and K3,3 under specific conditions.
Non-Planar Graphs:
Graphs like K5, K6, and K4,4 are non-planar due to their high edge density.
Applications of Graph Theory:
Used in network design, computer science, and optimization problems.
Graph crossings are important in VLSI design and circuit layout problems.