What are common examiner traps in Graph Traversals?

Overcomplicating the BFS queue behavior across higher-level subsets without realizing the source vertex is adjacent to all other vertices (distance 1). Forgetting to exclude the starting node itself when computing the factorial permutation of the remaining vertices (e.g., calculating 8! instead of 7!). Misinterpreting the proper subset condition A B by including self-loops or excluding valid containment edges.

GATE CSE Graph Traversals PYQs

Standard yield0.5% of Engineering Mathematics

GATE tests Graph Traversals in Discrete Mathematics by combining traversal definitions (such as BFS level ordering) with structural and combinatorial properties… Read the guide

Take topic test

Questions: 1
Asked: 2023
Total marks: 2
Marks / paper: 0.1

1 GATE CSE Graph Traversals PYQs with solutions, from Engineering Mathematics. Browse all GATE CSE PYQs.

Questions

Every official paper that asked this topic, newest first.

GATE CSE 2023 · Q56Let $U = \{1, 2, 3\}$ . Let $2^U$ denote the powerset of $U$ . Consider an undirected graph $G$ whose vertex set is $2^U$ . For any $A, B \in 2^U$ , $(A, B)$ is an edge in $G$ if and only if (i) $A \neq B$ , and (ii) either $A \subsetneq B$ or $B \subsetneq A$ . For any vertex $A$ in $G$ , the set…NAT2 marksEasySolve

What GATE tests in Graph Traversals

Concepts, patterns, formulas and traps distilled from past papers.

GATE tests Graph Traversals in Discrete Mathematics by combining traversal definitions (such as BFS level ordering) with structural and combinatorial properties of defined graphs (such as subset inclusion graphs over power sets). Questions evaluate how graph topology, neighbor relationships, and BFS level exploration constrain the set of valid traversal sequences.

Core concepts

Breadth First Search (BFS) traversal definition and valid visit orderings
Neighborhood and degree analysis in subset inclusion graphs
Permutations of equidistant vertices at level 1 of a BFS tree
Power set cardinality and proper subset relations

Recurring question patterns

Traversal Sequence Counting on Combinatorial Graphs
RareNAT2 marks2023
A graph is defined algebraically or set-theoretically (e.g., vertices as elements of a power set, edges defined by subset inclusion), and the task requires counting the total number of distinct valid BFS (or DFS) vertex visit sequences starting from a specific node.

Formulas GATE uses

Permutations of Level Neighbors in BFS

|\mathcal{B}(v)| = \prod_{i=1}^{k} |L_i|! \quad \text{(when all vertices at level $i$ are reachable uniformly)}

Used when determining the number of possible BFS vertex visitation sequences where all remaining vertices reside at the same BFS level or independent choice levels.

Power Set Size

|2^U| = 2^{|U|}

Used to find the total number of vertices when the vertex set is defined as the power set of a set $U$ .

Examiner traps in Graph Traversals

Overcomplicating the BFS queue behavior across higher-level subsets without realizing the source vertex is adjacent to all other vertices (distance 1).
Forgetting to exclude the starting node itself when computing the factorial permutation of the remaining vertices (e.g., calculating 8! instead of 7!).
Misinterpreting the proper subset condition A B by including self-loops or excluding valid containment edges.

How questions are asked

Counting valid traversal orderings (BFS/DFS permutations) as a NAT

Paper trends

Graph traversal concepts have merged with discrete structures (set relations, posets, power sets) into 2-mark NAT questions requiring combinatorial counting rather than just simulating BFS on small explicit adjacency lists.
2023

Difficulty notes

Easy-Medium: Identifying that the starting vertex has an edge to all remaining vertices reduces the problem directly to finding the permutation of the remaining $(|V| - 1)$ vertices ( $7! = 5040$ ). Harder variations occur when nodes are distributed across multiple distinct BFS levels with non-trivial parent dependencies.