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1 0 0 Sandeep S . Joshi and Kishor F . Pawar Theorem 3 . 4 . For the ring Z p 4 , P

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Sandeep S. Joshi and Kishor F. Pawar
Theorem 3.4. For the ring Zp4,
PG1(Zp4)=p4-p3+2p22,ifpis odd prime.
=5=p+3,ifp=2.
if p is odd prime.
Proof. Any two non-zero elements of PG1(Zp4) are adjacent if and only if both these elements are divisible by p2 and p3. There are p2-1 elements divisible by p2 and p3 and all are adjacent to each other. So, these vertices induces a complete subgraph kp2-1 and the vertices of this clique can be colored with p2-1 colors.
There are p2(p-1) elements which are divisible by p but not p2 and p3. These elements are not adjacent to each other but are adjacent to the elements divisible by p3 and the elements in a set of units. So, the vertices divisible by p can be colored with any one color assigned to the vertices divisible by p2.
The remaining p3(p-1) elements which are not divisible by p,p2 and p3 are adjacent to all the elements in a set of non-zero zero divisors and form two complete subgraphs having p3(p-1)2 elements in each subgraph. So, the vertices in these two complete subgraphs can be properly colored with p3(p-1)2 colors except the colors assigned to the vertices of the clique kp2-1.
Also, the vertex 0 is adjacent to all other vertices in PG1(Zp4). So, the vertex 0 can be colored with a single color except the colors assigned to the vertices of the cliques cliques kp2-1,kp3(p-1)2. Thus, the graph PG1(Zp4) can be properly colored with (p2-1)+p3(p-1)2+1 colors. Therefore, PG1(Zp4)=p4-p3+2p22, if p is an odd prime.
In case when p=2,Z16={0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15}. Here, the elements {0,4,8,12} forms a complete subgraph k4 and the vertices of this clique can be colored with 4 colors. The elements {2,6,10,14} are not adjacent to each other and the elements 4 and 12. So, these vertices can be colored with any one color assigned to the vertices 4 and 12. The elements {1,3,5,7,9,11,13,15} are not adjacent to each other but are adjacent to all the elements in a set {0,2,4,6,8,10,12,14}. So, these vertices can be colored with a single color except the colors assigned to the vertices of the clique k4. Thus, the graph PG1(Z16) can be properly colored by 5 colors. Hence PG1(Z16)=5=p+3.
Problem: elements divisible by p {2,6,10,14} should be adjacent to elements divisible by p^3{8}, from the code below elements divisible by p and elements divisible by p^3 are not adjacent to each other , please correct the code, namely the def is_adjacent part
code :
import networkx as nx
import matplotlib.pyplot as plt
def is_adjacent_zp4(v, u, p):
if v == u:
return False # No self-loops
if v ==0 or u ==0:
return True # Vertex 0 is adjacent to all other vertices
if v %(p*p)==0 and u %(p*p)==0:
return True # divisible by p^2
if v %(p*p*p)==0 and u %(p*p*p)==0:
return True # divisible by p^3
if v % p ==0 and u % p ==0:
return False
#if (v % p ==0 and v %(p**3)==0) and (u % p ==0 and u %(p**3)==0):
#return True
if (v % p ==0 and v %(p**3)!=0) and (u % p ==0 and u %(p**3)!=0):
return True
if (v % p ==0 and v %(p**2)!=0 and u % p ==0 and u %(p**2)!=0):
return True
# Kondisi adjacency jika tidak habis dibagi p, p^2, atau p^3
if (v % p !=0 and v %(p**2)!=0 and v %(p**3)!=0) and (u % p !=0 and u %(p**2)!=0 and u %(p**3)!=0):
return (v+u)% p !=0
return True
def generate_graph(vertices, p, is_adjacent):
edges =[(v, u) for v in vertices for u in vertices if is_adjacent(v, u, p)]
# Create the graph
G = nx.Graph()
G.add_nodes_from(vertices)
G.add_edges_from(edges)
return G
def analyze_graph(G):
max_clique = max(nx.find_cliques(G), key=len)
max_clique_size = len(max_clique)
color_map = nx.coloring.greedy_color(G, strategy="largest_first")
chromatic_number = max(color_map.values())+1
#coloring[0]= unique_color
return chromatic_number, max_clique, max_clique_size
def draw_graph(G, color_map, title):
plt.figure(figsize=(8,6))
pos = nx.spring_layout(G) # Layout adjusted for better visualization
node_colors =[color_map[node] for node in G.nodes()]
nx.draw_networkx_nodes(G, pos, node_color=node_colors, node_size=300, cmap=plt.cm.rainbow)
nx.draw_networkx_edges(G, pos, width=1.0, alpha=0.5)
nx.draw_networkx_labels(G, pos, labels={node: str(node) for node in G.nodes()}, font_color='black', font_size=10, font_weight='medium')
plt.title(title)
plt.axis('off')
plt.show()
def find_adjacencies(vertices, p, is_adjacent):
adjacent_pairs =[]
non_adjacent_pairs =[]
for v in vertices:
for u in vertices:
if v < u:
if is_adjacent(v, u, p):
adjacent_pairs.append((v, u))
else:
non_adjacent_pairs.append((v, u))
return adjacent_pairs, non_adjacent_pairs
# Example usage for p=2
p =2
vertices_zp4= list(range(p * p * p * p))
# Generate graph for Z16
G_zp4= generate_graph(vertices_zp4, p, is_adjacent_zp4)
# Analyze the graph
chromatic_number_zp4, max_clique_zp4, max_clique_size_zp4= analyze_graph(G_zp4)
# Expected chromatic number
expected_chromatic_number_zp4= p +3
print(f"Expected chromatic number Zp4: {expected_chromatic_number_

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