Frank Harary was born in New York City, the oldest child to a family of Jewish immigrants from Syria and Russia. He earned his bachelor's and master's degrees from Brooklyn College in 1941 and 1945 respectively[2] and his Ph.D., with supervisor Alfred L. Foster, from University of California, Berkeley in 1948.
Harary's first publication, "Atomic Boolean-like rings with finite radical", went through much effort to be put into the Duke Mathematical Journal in 1950. This article was first submitted to the American Mathematical Society in November 1948, then sent to the Duke Mathematical Journal where it was revised three times before it was finally published two years after its initial submission.[citation needed] Harary began his teaching career at the University of Michigan in 1953 where he was first an assistant professor, then in 1959 associate professor and in 1964 was appointed as a professor of mathematics, a position he held until 1986.
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From 1987 he was Professor (and Distinguished Professor Emeritus) in the Computer Science Department at New Mexico State University in Las Cruces. He was one of the founders of the Journal of Combinatorial Theory and the Journal of Graph Theory.[1]
In 1949 Harary published On the algebraic structure of knots. Shortly after this publication in 1953 Harary published his first book (jointly with George Uhlenbeck) On the number of Husimi trees. It was following this text that he began to build up a worldwide reputation for his work in graph theory. In 1965 his first book Structural models: An introduction to the theory of directed graphs was published, and for the rest of his life his interest would be in the field of graph theory.
While beginning his work in graph theory around 1965, Harary began buying property in Ann Arbor, and subdividing the houses he bought into apartments. This led to criticism for poor maintenance, "scores of building code violations", and six condemnations of buildings he owned. In a 1969 newspaper article, Harary was quoted as stating "We just wanted these properties for the land value ... we wanted to move the tenants out", while his wife Jayne stated "We've wanted to help poor blacks find better housing, but we've taken the rap again and again."[3][4] Harary and his wife Jayne had six children together, Miriam, Natalie, Judith, Thomas, Joel and Chaya.
From 1973 to 2007 Harary jointly wrote five more books, each in the field of graph theory. In the time before his death, Harary traveled the world researching and publishing over 800 papers (with some 300 different co-authors), in mathematical journals and other scientific publications, more than any mathematician other than Paul Erdos. Harary recorded that he lectured in 166 different cities around the United States and some 274 cities in over 80 different countries. Harary was particularly proud that he had given lectures in cities around the world beginning with every letter of the alphabet, even including "X" when he traveled to Xanten, Germany. Harary also played a curious role in the award-winning film Good Will Hunting. The film displayed formulas he had published on the enumeration of trees, which were supposed to be fiendishly difficult.[5]
It was in 1986 at the age of 65 that Harary retired from his professorship at the University of Michigan. Harary did not take his retirement lightly however; following his retirement Harary was appointed as a Distinguished Professor of Computer Sciences at New Mexico State University in Las Cruces. He held this position until his death in 2005. The same year as his retirement Harary was made an honorary fellow of the National Academy of Sciences of India; he also served as an editor for about 20 different journals focusing primarily on graph theory and combinatorial theory. It was following his retirement that Harary was elected as an honorary lifetime member of the Calcutta Mathematical Society and of the South African Mathematical Society.
He died at Memorial Medical Center in Las Cruces, New Mexico.[6] At the time of his death in Las Cruces other members of the department of Computer Science felt the loss for the great mind that once worked beside them. The head of the department of Computer Science at the time of Harary's death Desh Ranjan had this to say, "Dr. Harary was a true scholar with a genuine love for graph theory which was an endless source of new discoveries, beauty, curiosity, surprises and joy for him till the very end of his life."
Among over 700 scholarly articles Harary wrote, two were co-authored with Paul Erds, giving Harary an Erds number of 1.[12] He lectured extensively and kept alphabetical lists of the cities where he spoke.
Harary's most famous classic book Graph Theory was published in 1969 and offered a practical introduction to the field of graph theory. It is evident that Harary's focus in this book and amongst his other publications was towards the varied and diverse application of graph theory to other fields of mathematics, physics and many others. Taken from the preface of Graph Theory, Harary notes ...
"...there are applications of graph theory to some areas of physics, chemistry, communication science, computer technology, electrical and civil engineering, architecture, operational research, genetics, psychology, sociology, economics, anthropology, and linguistics."[13]
Harary quickly began promoting inquiry based learning through his texts, apparent by his reference to the tradition of the Moore method. Harary made many unique contributions to graph theory as he explored more and more different fields of study and successfully attempted to relate them to graph theory. Harary's classic book Graph Theory begins by providing the reader with much of the requisite knowledge of basic graphs and then dives right into proving the diversity of content that is held within graph theory. Some of the other mathematical fields that Harary directly relates to graph theory in his book begin to appear around chapter 13, these topics include linear algebra, and abstract algebra.
Harary also made an influential contribution in the theory of social learning used in sociology and behavioral economics, deriving a criterion for consensus in John R. P. French's model of social power.[14] This anticipated by several decades, albeit in a special case, the widely used DeGroot learning model.
The admission of powers of an adjacency matrix led Harary and Ross to note that a complete graph can be obtained from the square of an adjacency matrix of a tree. Relying on their study of clique detection, they described a class of graphs for which the adjacency matrix is the square of the adjacency matrix of a tree.[17]
Once we have the tree in question we can create an adjacency matrix for the tree T and check that it is indeed the tree which we sought. Squaring the adjacency matrix of T should yield an adjacency matrix for a graph which is isomorphic to the graph G which we started with. Probably the simplest way to observe this theorem in action is to observe the case which Harary mentions in The Square of a Tree. Specifically the example in question describes the tree corresponding the graph of K5
Upon squaring the adjacency matrix of the previously mentioned tree, we can observe that the theorem does in fact hold true. We can also observe that this pattern of setting up a tree where "one point joined with all the others" will always indeed yield the correct tree for all complete graphs.
An effort has been made to present the various topics in the theory of graphs in a logical order, to indicate the historical background, and to clarify the exposition by including figures to illustrate concepts and results. In addition, there are three appendices which provide diagrams of graphs, directed graphs, and trees. The emphasis throughout is on theorems rather than algorithms or applications, which however are occaisionally mentioned.
For an undergrad who knows what a proof is, Bollobas's "Modern Graph Theory" is not too thick, not too expensive and contains a lot of interesting stuff. Beyond this there are booksby West and Diestel. I really like van Lint and Wilson's book, but if you are aimingat graph theory, I do not think it's the best place to start.
My favorite is Dots and Lines (now called Intro to Graph Theory) by Richard Trudeau. It's a super-easy and quick read with lots of fun problems that get students to experiment with examples. I usually use it in conjunction with other texts when teaching graph theory courses because students whip through Trudeau's material so fast. I've used Wilson's 4th. Ed. and that's fine; I think Chartrand/Zhang is better, but haven't actually used it in a course yet. I should say that my evaluation of a text is based on having students actually read it, as I don't lecture.
The thing about graph theory (and combinatorics more generally, although it's especially true for graph theory) is that the basic definitions are very simple, and there is a lot of interesting math you can do without using anything but the basics.
As such, there's really only a limited benefit to just reading a text -- if you want to learn the subject, you have to have to have to do problems. Of the textbooks mentioned, I personally own Diestel (free online edition) and Bollobas; of these two, Bollobas has more and better exercises (although Diestel's a wonderful reference, and has the advantage of including hints.)
Honestly, I think the really important thing when teaching/learning graph theory is for the lecturer to know what he or she is doing. Obviously some books are better than others, but none of them are very good if they're not being used correctly.
There are many books on specialized issues related to graphs: planar graphs, graphs on surfaces, graph coloring problems, distance in graphs, etc. However, if one is looking for a readable introduction that covers a lot of different aspects of "basic" graph theory (degree sequences, trees, colorings, matchings, connectivity, etc.), I think the best place to start is: 152ee80cbc
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