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91Ó°ÊÓ

How many different channels are needed for six stations located at the distances shown in the table, if two stations cannot use the same channel when they are within 150 miles of each other? $$\begin{array}{|c|c|c|c|c|c|}\hline & {1} & {2} & {3} & {4} & {5} & {6} \\\ \hline 1 & {-} & {85} & {175} & {200} & {50} & {100} \\ \hline 2 & {85} & {-} & {125} & {175} & {100} & {160} \\ \hline 4 & {200} & {175} & {100} & {-} & {210} & {220} \\ \hline 5 & {50} & {100} & {200} & {210} & {-} & {100} \\\ \hline 6 & {100} & {160} & {250} & {220} & {100} & {-} \\ \hline\end{array}$$

Short Answer

Expert verified
4 different channels are needed.

Step by step solution

01

- Identify Pairs within 150 miles

List pairs of stations that are within 150 miles of each other. For each pair from the table, check if the distance is less than or equal to 150 miles.
02

- Create a Graph Representation

Represent the stations as vertices of a graph. Draw an edge between pairs of stations that are within 150 miles of each other.
03

- Color the Graph

Color the vertices of the graph. Use the minimum number of colors such that no two connected vertices have the same color. This is equivalent to finding the chromatic number of the graph.
04

- Determine Channels

The number of colors used in the graph coloring corresponds to the number of different channels needed.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Chromatic Number
The chromatic number of a graph is a fundamental concept in graph theory. It represents the fewest number of colors needed to color the vertices of a graph so that no two adjacent vertices share the same color. In simpler terms, it helps us determine how we can organize or separate items with specific constraints.

For our example, we need to figure out how many different channels our six stations need. Each channel corresponds to one color in graph coloring. By finding out how to color our graph with the minimum number of colors, we get the chromatic number. This number tells us how many channels we need so that stations within 150 miles of each other don't share the same frequency.

In general, computing the chromatic number involves creating a graph, identifying adjacent vertices (or in our case, closely located stations), and then trying to find a way to assign colors. Several algorithms and techniques can help in this process, ranging from simple greedy algorithms to more sophisticated backtracking and heuristic methods.
Vertices
In graph theory, vertices (singular: vertex) are the fundamental units of which graphs are formed. They are also known as 'nodes'. Imagine a graph as a collection of dots (vertices) connected by lines (edges).

In our exercise, each station is a vertex. So, we have six vertices, each representing one of the stations. When drawing the graph, each vertex gets a label from 1 to 6. These labels help us keep track of each station and their relationships.

Each vertex may need a different 'color' based on its adjacency to other vertices. However, the goal is to use as few colors as possible while ensuring that no two adjacent vertices share the same color. Therefore, by looking at the vertices, we aim to devise a strategy to minimize the chromatic number effectively.
Edges
Edges in a graph represent the connections or relationships between vertices. They are the lines that join pairs of vertices. In our context, every edge symbolizes a pair of stations within 150 miles of each other.

Creating the graph involves examining the provided table of distances. For each pair of stations (vertices), if their distance is 150 miles or less, we draw an edge between them. Edges are crucial because the presence of an edge between two vertices means those two vertices cannot share the same color (or, in our context, the same channel).

In our six-station example, we look at the table and list all pairs with distances ≤150 miles:
  • Station 1 and Station 2 (85 miles)
  • Station 1 and Station 5 (50 miles)
  • Station 1 and Station 6 (100 miles)
  • Station 2 and Station 3 (125 miles)
  • Station 2 and Station 5 (100 miles)
  • Station 2 and Station 6 (160 miles)
  • Station 3 and Station 4 (100 miles)
  • Station 5 and Station 6 (100 miles)
This process will help us form the edges needed for our graph. Understanding edges is important because they guide us in properly coloring the graph to minimize channel interference.

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Most popular questions from this chapter

How many nonisomorphic simple graphs are there with \(n\) vertices, when \(n\) is $$\begin{array}{llll}{\text { a) } 2 ?} & {\text { b) } 3 ?} & {\text { c) } 4 ?}\end{array}$$

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What do the in-degree and the out-degree of a vertex in a directed graph modeling a round-robin tournament represent?

A knight is a chess piece that can move either two spaces horizontally and one space vertically or one space horizontally and two spaces vertically. That is, a knight on square \((x, y)\) can move to any of the eight squares \((x \pm 2, y \pm 1),(x \pm 1, y \pm 2),\) if these squares are on the chessboard, as illustrated here. A knight's tour is a sequence of legal moves by a knight starting at some square and visiting each square exactly once. A knight's tour is called reentrant if there is a legal move that takes the knight from the last square of the tour back to where the tour began. We can model knight's tours using the graph that has a vertex for each square on the board, with an edge connecting two vertices if a knight can legally move between the squares represented by these vertices. a) Show that finding a knight's tour on an \(m \times n\) chess- board is equivalent to finding a Hamilton path on the graph representing the legal moves of a knight on that board. b) Show that finding a reentrant knight's tour on an \(m \times n\) chessboard is equivalent to finding a Hamilton circuit on the corresponding graph.

Show that if \(G\) is a chromatically \(k\) -critical graph, then the degree of every vertex of \(G\) is at least \(k-1\) .

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