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Graph Theory Homework Solutions: Problems and Solutions, Cheat Sheet of Mathematics

Homework solution mathematics

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Homework Number 8 Solutions
HW pp. 449 450:
#3 No because the graph has an odd number of odd-degree vertices (namely one).
#4 No. Since 3 of the 5 vertices have maximum degree (4), this means these three vertices are
adjacent to each vertex. Therefore, the degree of the other two vertices is at least 3.
#5 For each vertex v, we have 0 deg(v)n1.This means we have npossibilities for the
degree of each vertex and nvertices. If no two vertices have the same degree, then for each ksuch
that 0 kn1,there exists a vertex vwith deg(v) = k. This means there is a vertex of degree
0 and a vertex of degree n1.This can’t be since the vertex of degree 0 is adjacent to no other
vertex and the vertex of degree n1 is adjacent to all the vertices. Therefore, there are only n1
possibilities for the degree of each vertex(there are nvertices). By the pigeonhole principle, there
exists two vertices with the same degree.
#9
#12 Note that the 1st graph is not isomorphic to the 3rd graph because the 3rd has a 4-cycle, but
the 1st graph does not. Similarly for the 2nd and 3rd graphs. Below, find an isomorphism for the
1st and 2nd graphs.
#30 Knhas an Eulerian Circuit (closed Eulerian trails) if the degree of each vertex is even. This
means nhas to be odd, since the degree of each vertex in Knis n1.
Knhas an Eulerian trail (or an open Eulerian trail) if there exists exactly two vertices of odd
degree. Since each of the nvertices has degree n1,we need n= 2.
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Homework Number 8 Solutions

HW pp. 449 − 450:

#3 No because the graph has an odd number of odd-degree vertices (namely one).

#4 No. Since 3 of the 5 vertices have maximum degree (4), this means these three vertices are adjacent to each vertex. Therefore, the degree of the other two vertices is at least 3.

#5 For each vertex v, we have 0 ≤ deg(v) ≤ n − 1. This means we have n possibilities for the degree of each vertex and n vertices. If no two vertices have the same degree, then for each k such that 0 ≤ k ≤ n − 1 , there exists a vertex v with deg(v) = k. This means there is a vertex of degree 0 and a vertex of degree n − 1. This can’t be since the vertex of degree 0 is adjacent to no other vertex and the vertex of degree n − 1 is adjacent to all the vertices. Therefore, there are only n − 1 possibilities for the degree of each vertex(there are n vertices). By the pigeonhole principle, there exists two vertices with the same degree.

#12 Note that the 1st graph is not isomorphic to the 3rd graph because the 3rd has a 4-cycle, but the 1st graph does not. Similarly for the 2nd and 3rd graphs. Below, find an isomorphism for the 1st and 2nd graphs.

#30 Kn has an Eulerian Circuit (closed Eulerian trails) if the degree of each vertex is even. This means n has to be odd, since the degree of each vertex in Kn is n − 1.

Kn has an Eulerian trail (or an open Eulerian trail) if there exists exactly two vertices of odd degree. Since each of the n vertices has degree n − 1 , we need n = 2.

#35 According to Theorem 11.2.4, you can partition the edges of our graph into 20/2 = 10 open trails, since each of the 20 vertices is of odd degree. See the colored graph below to see the 10 different trails used.

#44 A Hamilton cycle goes through each vertex exactly once and returns back to the original vertex. A Hamilton cycle in a bipartite graph goes back and forth from the left hand side to the right hand side, and then ends on the left hand side (back at the original vertex). This means Km,n has a Hamilton cycle if and only if m = n. If m > n (or vice versa), then you’ll run out of right hand side vertices before you hit all the left hand side vertices (or vice versa).

A Hamilton path goes through each vertex exactly once and does not return back to the original vertex. Since Kn,n has a Hamilton cycle, it also has a Hamilton path. If m = n + 1 (or n = m + 1), then Km, n has a Hamilton path just by going a 1 , b 1 , a 2 , b 2 ,... , an, bn, an+1 (where the vertices on the left hand side are {a 1 , a 2 ,... , am} and the vertices on the right hand side are {b 1 , b 2 ,... , bn}. If m ≥ n + 2, then we’d run out of right hand side vertices before we get done with the left hand side vertices.