27 exam-style questions on Adjacency matrices; walks; transition matrices — topic 3.15 of Geometry and Trigonometry in the IB Mathematics: Applications and Interpretation syllabus — with answers and explanations. Samples below; the full set is free with an account.
A is the adjacency matrix of a graph. Determine what the entry in row i, column j of A³ represents.
Answer: Walks of length 3 from i to j
The (i, j) entry of Aⁿ counts the number of distinct walks of length n from vertex i to vertex j.
State a property that the adjacency matrix of an undirected graph with no loops must always have.
Answer: Symmetric with zero diagonal
For an undirected loop-free graph, A(i,j) = A(j,i) (symmetric) and A(i,i) = 0 since there are no loops on the diagonal.
A graph has adjacency matrix rows summing to 3, 2, 4 and 3 for its four vertices. Determine the total number of edges (undirected, no loops).
Answer: 6
A row sum equals the degree of that vertex. Sum of degrees = 3 + 2 + 4 + 3 = 12, so edges = 12 ÷ 2 = 6.
A transition matrix T for a Markov chain is given with columns representing current states. State which condition every column of T must satisfy.
Answer: Each column sums to 1
In a column-based (stochastic) transition matrix every column represents the probabilities of moving from one state to all states, so each column must sum to 1.
A Markov chain has transition matrix T (columns = current state) with T = [[0.8, 0.3], [0.2, 0.7]] and initial state vector s₀ = [100, 0]ᵀ. Calculate the number in state 1 after one step.
Answer: 80
s₁ = T s₀; the first component = 0.8 × 100 + 0.3 × 0 = 80.
A regular Markov chain has transition matrix T = [[0.6, 0.5], [0.4, 0.5]] (columns = current state). Determine its steady-state (equilibrium) proportion in state 1.
Answer: 5/9
Solving 0.6x + 0.5y = x with x + y = 1 gives 0.4x = 0.5y, so x = 5/9 and y = 4/9.
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