Computer Science Study Questions

Computer Science Study Questions

4.3.9 Suppose that the weighted graph shown below represents a communication network, where the weight pij on arc ij is the probability that the link from i to j does not fail. If the link failures are independent of one another, then the probability that a path does not fail is the product of the link probabilities for that path. Under this assumption, find the most reliable path from s to t. (Hint: Consider − log10pij.)

4.7.17 Suppose that a set E of jobs are to be processed by a single machine. All jobs

require the same processing time, and each job has a deadline. A subset of jobs is said

to be manageable if there is a processing sequence for the jobs in the subset, such that

each job is completed on time.

Show that (E, I) is a matroid.

4.8.5 What is the maximum number of edges in a simple graph with a DFS-tree isomorphic to K1,5. Prove your answer.

4.8.6 Show that if no two edges of a connected graph G have the same weight, then the

minimum spanning tree is unique.

either draw a graph meeting the specifications or explain why no such graph exists.

5.1.2 A 6-vertex graph G such that κv(G) = 2 and κe(G) = 2.

5.1.12 Determine the vertex- and edge-connectivity of the complete bipartite graph Km,n.

5.1.20 Prove that there exists no 3-connected simple graph with exactly seven edges.

3.1.21 Prove that if a graph has exactly two vertices of odd degree, then there must be

a path between them.

3.1.28 Let T be a tree with at least three vertices, and let T∗ be the subtree of T obtained

by deleting from T all its vertices of degree 1. Prove that diam(T∗) = diam(T) − 2 and

rad(T∗) = rad(T) − 1.

3.1.30 Determine the smallest integer n ≥ 2 for which there exists an n-vertex tree whose

only automorphism is the trivial one.

3.1.32 a. Prove that every path is graceful.

b. Prove that K1,n(also called a star) is graceful for all n ≥ 2.

c. Show that every tree on 6 vertices is graceful.

d. Prove or disprove: Every tree is graceful. (This is an open problem.)

definition: The distance sum (or Wiener index†) of a graph G, denoted ds(G), is

the sum of the distances between all pairs of vertices in G; that is, ds(G) =

3.1.33 Determine the distance sum for the n-vertex star K1,n−1.

3.1.34 Let T be an n-vertex tree different from the star K1,n. Prove that

ds(T) > ds(K1,n−1)

3.1.35 Determine the distance sum for the n-vertex path graph Pn.

3.1.36 Let T be an n-vertex tree different from the path graph Pn. Prove that

ds(T) < ds(Pn).

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