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In the graph shown in Figure 15.4: The walk abefa is a cycle. The walk abedbcfa is not a cycle because it is not a path: It has the duplicate internal vertex b. The path abef is not a cycle because it is not closed. And the walk aba is not a cycle because its length is only 2.

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A graph is said to be acyclic if it contains no cycles. Among the graphs shown above, only the ones in Figure 15.2 on page 286 are acyclic. An acyclic graph is also called a free forest, and a connected acyclic graph is also called a free tree. Note that a tree is the same as a free tree in which one node has been designated as the root. So in the context of graph theory, a tree is called a rooted tree, which is defined to be a connected acyclic graph with one distinguished node. A spanning tree of a graph is a connected acyclic spanning subgraph. EXAMPLE 15.7 Spanning Trees

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This query has been assigned based on the use of the InfoProvider-level RRI. The following illustration shows the setup of this configuration. There is no difference between the setup of a query-level and a InfoProvider-level RRI. In the InfoProvider-level RRI, you have the ability to link any query to any of the InfoProviders InfoCubes, DSO, MultiProviders, InfoSets, and so on. There are no restrictions for the types of InfoProviders.

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ISOMORPHIC GRAPHS An isomorphism between two graphs G = (V, E) and G = (V , E ) is a function f that assigns to each vertex x in V some vertex y = f(x) in V so that the following three conditions are satisfied: 1. f is one-to-one: Each x in V gets assigned a different y = f(x) in V 2. f is onto: Every y in V gets assigned to some x in V. 3. f preserves adjacency: If {x 1, x 2} is an edge in E, then {f(x 1), f(x 2)} is an edge in E . Two graphs are said to be isomorphic if there is an isomorphism from one to the other. The word isomorphic means same form. When applied to graphs, it means that they have the same topological structure. Graphically, two graphs are isomorphic if one can be twisted around to the same shape as the other without breaking any of the edge connections. EXAMPLE 15.8 Isomorphic Graphs

The two graphs in Figure 15.7 on page 289 are isomorphic. The isomorphism is indicated by the corresponding vertex labels. It can be verified that if vertex x 1 is adjacent to vertex x 2 in one graph, then the corresponding vertices are adjacent in the other graph. For example, vertex a is adjacent to vertices b, d, e, and f (but not c, g, or h) in both graphs.

in the production process. To these, the rm must add such implicit costs as the wage that the entrepreneur would earn working as a manager for somebody else, the interest he would get by supplying his money capital (if any) to someone else in a similarly risky business, and the rent on his own land and buildings, if he were not using them himself. Only if the total revenue received from selling the output exceeds both its explicit and implicit costs is the rm making an economic or pure pro t.

To prove that two graphs are isomorphic (by definition), it is necessary to find an isomorphism between them. This is equivalent to labeling both graphs with the same set of labels so that adjacency applies equally to both labelings. Finding such an isomorphism by chance is unlikely

CHAP. 15]

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