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Basic Notation and Terminology for Graphs

A graph \bfG is a pair (V,E) where V is a set (almost always finite) and E is a set of 2-element subsets of V. Elements of V are called vertices and elements of E are called edges.

Basic Notation and Terminology for Graphs

A graph \(\bfG\) is a pair \((V,E)\) where \(V\) is a set (almost always finite) and \(E\) is a set of \(2\)-element subsets of \(V\). Elements of \(V\) are called vertices and elements of \(E\) are called edges. We call \(V\) the vertex set of \(\bfG\) and \(E\) is the edge set. For convenience, it is customary to abbreviate the edge \(\{x,y\}\) as just \(xy\). Remember though that \(xy\in E\) means exactly the same as \(yx\in E\). If \(x\) and \(y\) are distinct vertices from \(V\), \(x\) and \(y\) are adjacent when \(xy\in E\); otherwise, we say they are non-adjacent. We say the edge \(xy\) is incident to the vertices \(x\) and \(y\).

For example, we could define a graph \(\GVE\) with vertex set \(V=\{a,b,c,d,e\}\) and edge set \(E=\{\{a,b\},\{c,d\},\{a,d\}\}\). Notice that no edge is incident to \(e\), which is perfectly permissible based on our definition. It is quite common to identify a graph with a visualization in which we draw a point for each vertex and a line connecting two vertices if they are adjacent. The graph \(\bfG\) we've just defined is It's important to remember that while a drawing of a graph is a helpful tool, it is not the same as the graph. We could draw \(\bfG\) in any of several different ways without changing what it is as a graph.

As is often the case in science and mathematics, different authors use slightly different notation and terminology for graphs. As an example, some use nodes and arcs rather than vertices and edges. Others refer to vertices as points and in this case, they often refer to lines rather than edges. We will try to stick to vertices and edges but confess that we may occasionally lapse into referring to vertices as points. Also, following the patterns of many others, we will also say that adjacent vertices are neighbors. And we will use the more or less standard terminology that the neighborhood of a vertex \(x\) is the set of vertices adjacent to \(x\). Thus, using the graph \(\bfG\) we have depicted in , vertices \(d\) and \(a\) are neighbors, and the neighborhood of \(d\) is \(\{a,c\}\) while the neighborhood of \(e\) is the empty set. Also, the degree of a vertex \(v\) in a graph \(\bfG\), denoted \(\deg_\bfG(v)\), is then the number of vertices in its neighborhood, or equivalently, the number of edges incident to it. For example, we have \(\deg_\bfG(d)=\deg_\bfG(a)=2\), \(\deg_\bfG(c)=\deg_\bfG(b)=1\), and \(\deg_\bfG(e)=0\). If the graph being discussed is clear from context, it is not uncommon to omit the subscript and simply write \(\deg(v)\) \(\deg_\bfG(v)\) degree of vertex \(v\) in graph \(\bfG\) for the degree of \(v\).

Condensed: the full section is in Keller & Trotter, Applied Combinatorics.

이제 너 계산기는 이것을 해결하지 않지만, 그 조각은 계산 가능합니다. 아래의 하나를 시도하거나 자신의 것을 입력하십시오.

연습 (2)

먼저 종이에 각각을 시도해 보세요. 확인하기 위해 답을 드러내세요. 확인된 답은 각 단계의 솔버에서 열 수 있습니다.

  1. In this problem, refer to the graph at the left in . The degree of vertext \(d\) is . The degree of vertex \(i\) is . The vertex of degree \(2\) that comes first alphabetically in the English alphabet is

  2. In this problem, refer to the graphs in . Explain why the middle graph is not an induced subgraph of the graph at the left. Suppose we wanted to add the vertex \(l\) to the graph at the right. What edges would need to be added to ensure that the resulting graph is an induced subgraph of the graph at the left?

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여기서 사용된 기호

기호를 탭하면 전체 정의, 이미지 및 각 문자의 의미를 확인할 수 있습니다.

사람들이 묻는 질문

Permutation or combination?

Ask whether order matters. A lock code is a permutation (order matters); a hand of cards is a combination (it does not).

What is a graph in this sense?

Dots (vertices) joined by lines (edges), not a plot. Road maps, social networks and molecules are graphs; questions like "is there a route" and "how few colours" are graph theory.

이 페이지의 일부는 다음에서 변경되었습니다. Keller & Trotter, Applied Combinatorics (CC BY-SA 4.0). 여기서 압축하고 다시 설명; 오류는 우리의.

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