The notion of a book, as a topological space, was defined by C. A. Persinger and Gail Atneosen in the 1960s. As part of this work, Atneosen already considered embeddings of graphs in books. The embeddings he studied used the same definition as embeddings of graphs into any other topological space: vertices are represented by distinct points, edges are represented by curves, and the only way that two edges can intersect is for them to meet at a common endpoint.
It is crucial for these definitions that edges are only allowed to stay within a single page of the book. As Atneosen already observed, if edges may instead pass from one page to another across the spine of the book, then every graph may be embedded into a three-page book. For such a three-page topological book embedding in which spine crossings are allowed, every graph can be embedded with at most a logarithmic number of spine crossings per edge, and some graphs need this many spine crossings.
Every two-page book embedding is a special case of a planar embedding, because the union of two pages of a book is a space topologically equivalent to the whole plane. Therefore, every graph with book thickness two is automatically a planar graph. More precisely, the book thickness of a graph G is at most two if and only if G is a subgraph of a planar graph that has a Hamiltonian cycle. If a graph is given a two-page embedding, it can be augmented to a planar Hamiltonian graph by adding (into any page) extra edges between any two consecutive vertices along the spine that are not already adjacent, and between the first and last spine vertices. The Goldner–Harary graph provides an example of a planar graph that does not have book thickness two: it is a maximal planar graph, so it is not possible to add any edges to it while preserving planarity, and it does not have a Hamiltonian cycle. Because of this characterization by Hamiltonian cycles, graphs that have two-page book embeddings are also known as subhamiltonian graphs.
If an ordering of the vertices of a graph along the spine of an embedding is fixed, then a two-page embedding (if it exists) can be found in linear time, as an instance of planarity testing for a graph formed by augmenting the given graph with a cycle connecting the vertices in their spine ordering. Unger (1992) claimed that finding three-page embeddings with a fixed spine ordering can also be performed in polynomial time although his writeup of this result omits many details. However, for graphs that require four or more pages, the problem of finding an embedding with the minimum possible number of pages remains NP-hard, via an equivalence to the NP-hard problem of coloring circle graphs, the intersection graphs of chords of a circle. Given a graph G with a fixed spine ordering for its vertices, drawing these vertices in the same order around a circle and drawing the edges of G as line segments produces a collection of chords representing G. One can then form a circle graph that has the chords of this diagram as vertices and crossing pairs of chords as edges. A coloring of the circle graph represents a partition of the edges of G into subsets that can be drawn without crossing on a single page. Therefore, an optimal coloring is equivalent to an optimal book embedding. Since circle graph coloring with four or more colors is NP-hard, and since any circle graph can be formed in this way from some book embedding problem, it follows that optimal book embedding is also NP-hard. For a fixed vertex ordering on the spine of a two-page book drawing, it is also NP-hard to minimize the number of crossings when this number is nonzero.
If the spine ordering is unknown but a partition of the edges into two pages is given, then it is possible to find a 2-page embedding (if it exists) in linear time by an algorithm based on SPQR trees. However, it is NP-complete to find a 2-page embedding when neither the spine ordering nor the edge partition is known. Finding the book crossing number of a graph is also NP-hard, because of the NP-completeness of the special case of testing whether the 2-page crossing number is zero.
Bekos, Kaufmann & Zielke (2015) describe a system for finding optimal book embeddings by transforming the problem into an instance of the Boolean satisfiability problem and applying a SAT solver to the resulting problem. They state that their system is capable of finding an optimal embedding for 400-vertex maximal planar graphs in approximately 20 minutes.
One of the main motivations for studying book embedding cited by Chung, Leighton & Rosenberg (1987) involves an application in VLSI design, to the organization of fault-tolerant multiprocessors. In the DIOGENES system developed by these authors, the CPUs of a multiprocessor system are arranged into a logical sequence corresponding to the spine of a book (although this sequence may not necessarily be placed along a line in the physical layout of this system). Communication links connecting these processors are grouped into "bundles" which correspond to the pages of a book and act like stacks: connecting one of the processors to the start of a new communications link pushes all the previous links upward in the bundle, and connecting another processor to the end of a communication link connects it to the one at the bottom of the bundle and pops all the other ones down. Because of this stack behavior, a single bundle can handle a set of communications links that form the edges of a single page in a book embedding. By organizing the links in this way, a wide variety of different network topologies can be implemented, regardless of which processors have become faulty, as long as enough non-faulty processors remain to implement the network. The network topologies that can be implemented by this system are exactly the ones that have book thickness at most equal to the number of bundles that have been made available.
Book embedding may also be used to model the placement of wires connecting VLSI components into the layers of a circuit.
Another application cited by Chung, Leighton & Rosenberg (1987) concerns sorting permutations using stacks.
An influential result of Donald Knuth (1968) showed that a system that processes a data stream by pushing incoming elements onto a
stack and then, at appropriately chosen times, popping them from the stack onto an output stream can sort the data if and only if its initial order is described by a permutation that avoids the permutation pattern 231. Since then, there has been much work on similar problems of sorting data streams by more general systems of stacks and queues. In the system considered by Chung, Leighton & Rosenberg (1987), each element from an input data stream must be pushed onto one of several stacks. Then, once all of the data has been pushed in this way, the items are popped from these stacks (in an appropriate order) onto an output stream. As Chung et al. observe, a given permutation can be sorted by this system if and only if a certain graph, derived from the permutation, has a book embedding with the vertices in a certain fixed order along the spine and with a number of pages that is at most equal to the number of stacks.
As Kainen (1990) described, a book embedding may be used to describe the phases of a traffic signal at a controlled intersection.
At an intersection, the incoming and outgoing lanes of traffic (including the ends of pedestrian crosswalks and bicycle lanes as well as lanes for motor vehicles) may be represented as the vertices of a graph, placed on the spine of a book embedding in their clockwise order around the junction. The paths through the intersection taken by traffic to get from an incoming lane to an outgoing lane may be represented as the edges of an undirected graph. For instance, this graph might have an edge from an incoming to an outgoing lane of traffic that both belong to the same segment of road, representing a U-turn from that segment back to that segment, only if U-turns are allowed at the junction. For a given subset of these edges, the subset represents a collection of paths that can all be traversed without interference from each other if and only if the subset does not include any pair of edges that would cross if the two edges were placed in a single page of a book embedding. Thus, a book embedding of this graph describes a partition of the paths into non-interfering subsets, and the book thickness of this graph (with its fixed embedding on the spine) gives the minimum number of distinct phases needed for a signalling schedule that includes all possible traffic paths through the junction.
Book embedding has also been frequently applied in the visualization of network data. Two of the standard layouts in graph drawing, arc diagrams and circular layouts, can be viewed as book embeddings, and book embedding has also been applied in the construction of clustered layouts, simultaneous embeddings, and three-dimensional graph drawings.
For one-page drawings of either style, it is important to keep the number of crossings small as a way of reducing the visual clutter of the drawing. Minimizing the number of crossings is NP-complete, but may be approximated with an approximation ratio of O(log2 n) where n is the number of vertices. Minimizing the one-page or two-page crossing number is fixed-parameter tractable when parameterized by the cyclomatic number of the given graph, or by a combination of the crossing number and the treewidth of the graph. Heuristic methods for reducing the crossing complexity have also been devised, based e.g. on a careful vertex insertion order and on local optimization.
Two-page book embeddings with a fixed partition of the edges into pages can be interpreted as a form of clustered planarity, in which the given graph must be drawn in such a way that parts of the graph (the two subsets of edges) are placed in the drawing in a way that reflects their clustering. Two-page book embedding has also been used to find simultaneous embeddings of graphs, in which two graphs are given on the same vertex set and one must find a placement for the vertices in which both graphs are drawn planarly with straight edges.
Book embeddings with more than two pages have also been used to construct three-dimensional drawings of graphs. In particular, Wood (2002) used a construction for book embeddings that keep the degree of each vertex within each page low, as part of a method for embedding graphs into a three-dimensional grid of low volume.
Because the spine ordering is known in advance for this application, testing for the existence of a bi-secondary structure for a given basepairing is straightforward. The problem of assigning edges to the two pages in a compatible way can be formulated as either an instance of 2-satisfiability, or as a problem of testing the bipartiteness of the circle graph whose vertices are the basepairs and whose edges describe crossings between basepairs. Alternatively and more efficiently, as Haslinger & Stadler (1999) show, a bi-secondary structure exists if and only if the diagram graph of the input (a graph formed by connecting the bases into a cycle in their sequence order and adding the given basepairs as edges) is a planar graph. This characterization allows bi-secondary structures to be recognized in linear time as an instance of planarity testing.
Blin et al. (2007) used the connection between secondary structures and book embeddings as part of a proof of the NP-hardness of certain problems in RNA secondary structure comparison. And if an RNA structure is tertiary rather than bi-secondary (that is, if it requires more than two pages in its diagram), then determining the page number is again NP-hard.
In a multi-paper sequence, Dynnikov has studied the topological book embeddings of knots and links, showing that these embeddings can be described by a combinatorial sequence of symbols and that the topological equivalence of two links can be demonstrated by a sequence of local changes to the embeddings.
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S
L
2
(
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)
{\displaystyle \mathrm {SL} _{2}(\mathbb {R} )}
and monotone expanders", Geometric and Functional Analysis, 23 (1): 1–41, doi:10.1007/s00039-012-0200-9, MR 3037896, S2CID 121554827. See also Galil, Zvi; Kannan, Ravi; Szemerédi, Endre (1989), "On 3-pushdown graphs with large separators", Combinatorica, 9 (1): 9–19, doi:10.1007/BF02122679, MR 1010295, S2CID 37506294; Dvir, Zeev; Wigderson, Avi (2010), "Monotone expanders: constructions and applications", Theory of Computing, 6: 291–308, doi:10.4086/toc.2010.v006a012, MR 2770077. /wiki/Vida_Dujmovi%C4%87
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