Bipartite Graph Check in DSA C - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is a bipartite graph?

A bipartite graph is a graph whose nodes can be divided into two groups such that no two nodes within the same group are connected by an edge.

beginner

Which method is commonly used to check if a graph is bipartite?

We use graph coloring with two colors or BFS/DFS to check if the graph can be colored without conflicts, meaning no two adjacent nodes share the same color.

beginner

In bipartite graph check, what does it mean if a conflict in coloring is found?

It means the graph is not bipartite because two connected nodes have the same color, breaking the rule of bipartite division.

beginner

Why do we use two colors in bipartite graph checking?

Two colors represent the two groups of nodes. Assigning colors helps verify if nodes can be separated without edges inside the same group.

intermediate

What is the time complexity of checking if a graph is bipartite using BFS or DFS?

The time complexity is O(V + E), where V is the number of vertices and E is the number of edges, because each node and edge is visited once.

What does it mean if a graph is bipartite?

A Its nodes can be split into two groups with no edges inside the same group

B It has an equal number of nodes and edges

C It contains a cycle of odd length

D All nodes are connected to each other

A bipartite graph can be divided into two groups with edges only between groups, not inside.

Which algorithm is commonly used to check bipartite property?

A Dijkstra's algorithm

B Prim's algorithm

C BFS or DFS with two-coloring

D Topological sort

BFS or DFS with two-coloring helps detect if adjacent nodes can be colored differently.

If two adjacent nodes have the same color during bipartite check, what does it indicate?

A Graph is bipartite

B Graph is not bipartite

C Graph is complete

D Graph is disconnected

Same color on adjacent nodes breaks bipartite rules, so graph is not bipartite.

What is the minimum number of colors needed to check if a graph is bipartite?

A 4

B 1

C 3

D 2

Two colors represent the two groups in a bipartite graph.

What is the time complexity of bipartite graph check using BFS or DFS?

A O(V + E)

B O(E^2)

C O(V^2)

D O(log V)

Each vertex and edge is visited once, so complexity is O(V + E).

Explain how BFS or DFS can be used to check if a graph is bipartite.

Think about coloring nodes while traversing the graph.

Describe what a bipartite graph is and why two colors are used in its check.

Imagine separating people into two teams with no friends inside the same team.

Practice

1. What does it mean for a graph to be bipartite?

easy

A. It contains at least one cycle

B. Its vertices can be divided into two sets with no edges inside the same set

C. It has an equal number of vertices and edges

D. All vertices have the same degree

Solution

1. Step 1: Understand bipartite graph definition

   A bipartite graph is one where vertices can be split into two groups so that no edge connects vertices within the same group.

2. Step 2: Compare options with definition

   Only Its vertices can be divided into two sets with no edges inside the same set matches this definition exactly. Other options describe unrelated properties.

3. Final Answer:

   Its vertices can be divided into two sets with no edges inside the same set -> Option B

4. Quick Check:

   Bipartite graph = two sets, no same-set edges [OK]

Hint: Bipartite means two groups with no internal edges [OK]

Common Mistakes:

• Confusing bipartite with equal vertices and edges
• Thinking bipartite means no cycles
• Assuming all vertices have same degree

2. Which of the following C code snippets correctly initializes a graph adjacency list for bipartite check?

easy

A. int graph[5][5] = {{0}};

B. int graph[5]; for(int i=0; i<5; i++) graph[i] = NULL;

C. int graph[][] = {0};

D. int* graph[5]; for(int i=0; i<5; i++) graph[i] = malloc(sizeof(int)*5); memset(graph[i], 0, sizeof(int)*5);

Solution

1. Step 1: Understand adjacency list initialization in C

   Adjacency list uses array of pointers to arrays or linked lists. int* graph[5]; for(int i=0; i<5; i++) graph[i] = malloc(sizeof(int)*5); memset(graph[i], 0, sizeof(int)*5); correctly allocates memory and initializes it.

2. Step 2: Check other options for correctness

   int graph[5][5] = {{0}}; is a fixed 2D array but only zero-initialized; B tries to assign NULL to int array elements (invalid); C has incomplete array declaration.

3. Final Answer:

   int* graph[5]; for(int i=0; i<5; i++) graph[i] = malloc(sizeof(int)*5); memset(graph[i], 0, sizeof(int)*5); -> Option D

4. Quick Check:

   Proper adjacency list init = malloc + memset [OK]

Hint: Use malloc and memset to init adjacency lists in C [OK]

Common Mistakes:

• Trying to assign NULL to int array elements
• Using incomplete array declarations
• Not allocating memory for adjacency lists

3. Given the following graph edges: 0-1, 1-2, 2-3, 3-0, what will the bipartite check function return?

medium

A. Runtime error due to cycle

B. false (graph is not bipartite)

C. true (graph is bipartite)

D. Indeterminate result

Solution

1. Step 1: Analyze the graph structure

   The edges form a cycle of length 4: 0-1-2-3-0. Even length cycles can be bipartite, so this graph is bipartite.

2. Step 2: Check bipartite condition on cycle

   Since the cycle length is even, the graph can be colored with two colors without conflict.

3. Final Answer:

   true (graph is bipartite) -> Option C

4. Quick Check:

   Even cycle = bipartite [OK]

Hint: Even length cycles are bipartite, odd length are not [OK]

Common Mistakes:

• Assuming all cycles are not bipartite
• Confusing cycle length parity
• Thinking runtime error occurs due to cycles

4. Identify the bug in this bipartite check code snippet:

bool isBipartite(int graph[][3], int V) {
  int color[V];
  for(int i=0; i

medium

A. Function does not check disconnected components

B. Color array is not initialized to -1

C. Queue is not initialized properly

D. Incorrect color assignment logic

Solution

1. Step 1: Understand the code logic

   The code colors nodes starting from node 0 and uses BFS to assign colors to neighbors.

2. Step 2: Identify missing checks

   The code only starts BFS from node 0 and does not check other disconnected components, which may cause incorrect results if graph is disconnected.

3. Step 3: Verify other options

   Queue is properly initialized; color array is initialized to -1; color assignment logic is correct.

4. Final Answer:

   Function does not check disconnected components -> Option A

5. Quick Check:

   Check all components for bipartite [OK]

Hint: Always check all graph components in bipartite check [OK]

Common Mistakes:

• Ignoring disconnected graph parts
• Assuming single BFS covers entire graph
• Misunderstanding color assignment

5. You have a graph with 6 vertices and edges: 0-1, 0-3, 1-2, 2-3, 4-5. Which statement is true about its bipartite nature?

hard

A. The graph is bipartite because all components are bipartite

B. The graph is not bipartite because of the cycle 0-1-2-3-0

C. The graph is bipartite only if vertex 4 is connected to vertex 2

D. The graph is not bipartite because vertices 4 and 5 form an odd cycle

Solution

1. Step 1: Analyze graph components

   Vertices 0-1-2-3 form a cycle 0-1-2-3-0 of length 4 (even), which is bipartite. Vertices 4-5 form a separate edge, also bipartite.

2. Step 2: Check bipartite condition for entire graph

   Since all components are bipartite, the entire graph is bipartite.

3. Step 3: Evaluate other options

   The graph is not bipartite because of the cycle 0-1-2-3-0 is wrong because even cycles are bipartite. The graph is bipartite only if vertex 4 is connected to vertex 2 is irrelevant. The graph is not bipartite because vertices 4 and 5 form an odd cycle is wrong because 4-5 is just an edge, no cycle.

4. Final Answer:

   The graph is bipartite because all components are bipartite -> Option A

5. Quick Check:

   All components bipartite = graph bipartite [OK]

Hint: Check each component's bipartite status separately [OK]

Common Mistakes:

• Assuming any cycle means not bipartite
• Ignoring disconnected components
• Confusing edges with cycles