Multi-agent networks are often modeled as interaction graphs, where the nodes represent the agents and the edges denote some direct interactions. The robustness of a multi-agent network to perturbations such as failures, noise, or malicious attacks largely depends on the corresponding graph. In many applications, networks are desired to have well-connected interaction graphs with relatively small number of links. One family of such graphs is the random regular graphs. In this paper, we present a decentralized scheme for transforming any connected interaction graph with a possibly non-integer average degree of @math into a connected random @math -regular graph for some @math . Accordingly, the agents improve the robustness of the network while maintaining a similar number of links as the initial configuration by locally adding or removing some edges.
Another group of studies consider the explicit construction of expanders. Expanders can be constructed via graph operations such as zig-zag product (e.g., @cite_42 @cite_20 ), or derandomized graph squaring @cite_27 . Furthermore, for any @math such that @math is a prime power, an explicit algebraic construction method for a family of @math -regular expanders, i.e. Ramanujan graphs, was presented in @cite_1 . In @cite_4 , Watts-Strogatz small-word networks are transformed into quasi Ramanujan graphs by rewiring some of the edges.
@cite_4 @cite_42 @cite_1 @cite_27 @cite_20
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In this paper, we explore spectral properties of a class of regular Cayley graphs known as Ramanujan graphs and prove that the ratio of their algebraic connectivity to that of regular lattices grows exponentially as O(ngamma) with gamma = 1.84plusmn0.05 for networks with average degree of O(log(n)). Explicit construction algorithms exist for Ramanujan graphs that create regular graphs with especial degree and scale that depend on a pair of prime numbers. We introduce a randomized algorithm for construction of a class of fast regular graphs called quasi Ramanujan graphs. These graphs are obtained from finite number of degree balancing operations on Watts-Strogatz small-word networks that are irregular graphs. We show that quasi Ramanujan graphs share similar combinatorial optimality spectral properties as Ramanujan graphs and are not restricted to especial choices of degree and scale. A byproduct of this fact is that the algebraic connectivity ratio of quasi Ramanujan graphs grows exponentially in n as well. Numerical experiments are performed to verify our analytical predictions. Consensus algorithms converge extremely fast on networks with exponentially growing algebraic connectivity ratios. The main concrete result of this paper is the first explicit construction of constant degree lossless expanders. In these graphs, the expansion factor is almost as large as possible: (1—e)D, where D is the degree and e is an arbitrarily small constant. The best previous explicit constructions gave expansion factor D 2, which is too weak for many applications. The D 2 bound was obtained via the eigenvalue method, and is known that that method cannot give better bounds.The main abstract contribution of this paper is the introduction and initial study of randomness conductors, a notion which generalizes extractors, expanders, condensers and other similar objects. In all these functions, certain guarantee on the input "entropy" is converted to a guarantee on the output "entropy". For historical reasons, specific objects used specific guarantees of different flavors. We show that the flexibility afforded by the conductor definition leads to interesting combinations of these objects, and to better constructions such as those above.The main technical tool in these constructions is a natural generalization to conductors of the zig-zag graph product, previously defined for expanders and extractors. This paper gives a new way of showing that certain constant degree graphs are graph expanders. This is done by giving new proofs of expansion for three permutations of the Gabber-Galil expander. Our results give an expansion factor of @math for subgraphs of these three-regular graphs with @math inputs for @math prime. The proofs are not based on eigenvalue methods or higher algebra. The same methods show the expected number of probes for unsuccessful search in double hashing is bounded by @math , where a is the load factor. This assumes a double hashing scheme in which two hash functions are randomly and independently chosen from a specified uniform distribution. The result is valid regardless of the distribution of the inputs. This is analogous to Carter and Wegman’s result for hashing with chaining. This paper concludes by elaborating on how any sufficiently sized subset of inputs in any distribution expands in the subgraph of the Gabber-Galil graph expander of focus. This is related to any key distribution having expected @math probes for unsuccessful search for double hashing given the initial random, independent, and uniform choice of two universal hash functions. For any prime power q, we give explicit constructions for many infinite linear families of q + 1 regular Ramanujan graphs. This partially solves a problem that was raised by A. Lubotzky, R. Phillips, and P. Sarnak. They gave the same results as here, but only for q being prime and not equal to two, and raised the question of the existence and explicit construction of such graphs for other degrees of regularity. Moreover, our construction removes the nondeterministic part of finding large prime numbers, which for some applications may appear in their construction. Our graphs are given as Cayley graphs of PGL2 or PSL2 over finite fields, with respect to very simple generators. They also satisfy all other extremal combinatorial properties that those of Lubotsky, Phillips, and Sarnak do.