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Def: Given G with vertices v_1,...., v_k edges {e_ij)an edge between v_i and v_j, then the adjency matrix A is the square k X k matrix whose i-j-entry is # of edges from v_i to v_j
 
Def: Given G with vertices v_1,...., v_k edges {e_ij)an edge between v_i and v_j, then the adjency matrix A is the square k X k matrix whose i-j-entry is # of edges from v_i to v_j
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----
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'''Special Types of Graphs:'''
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k-regular graphs (every vertex has degree k)
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Complete graphs (K_n)
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Cycles (C_n - polygon with n edges/vertices)
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Wheels (W_n - C_n plus a new vertex linked to all vertices of C_n)
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Bipartite Graphs (G is bipartite if the vertex set can be split into V_1 and V_2 such that all edges of G to from V_1 to V_2)
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Complete Bipartite Graphs (A bipartite graph where every vertex in V_1 is connected to every vertex in V_2 without loops nor multiple edges)

Revision as of 16:33, 16 November 2008

Graphs

Definition: A graph is a collection of things (usually called vertices) together with a collection of pairs of vertices (called edges)

Note: Edges are NOT geometric => no specific shape, form length

Graphs can/do have many different visualization

A simple graph is the one without loops, without multiple edges.

The degree of a vertex, deg(v) = 2 x # of loops based at v + 1 x # of nonloop edges involving v


For an undirected graph, G, with n vertices, $ \sum_{i=0}^ndeg(v_i)=2E $

--Jniederh 00:08, 3 November 2008 (UTC)



Def: Given G with vertices v_1,...., v_k edges {e_ij)an edge between v_i and v_j, then the adjency matrix A is the square k X k matrix whose i-j-entry is # of edges from v_i to v_j


Special Types of Graphs: k-regular graphs (every vertex has degree k) Complete graphs (K_n) Cycles (C_n - polygon with n edges/vertices) Wheels (W_n - C_n plus a new vertex linked to all vertices of C_n) Bipartite Graphs (G is bipartite if the vertex set can be split into V_1 and V_2 such that all edges of G to from V_1 to V_2) Complete Bipartite Graphs (A bipartite graph where every vertex in V_1 is connected to every vertex in V_2 without loops nor multiple edges)

Alumni Liaison

Correspondence Chess Grandmaster and Purdue Alumni

Prof. Dan Fleetwood