321 research outputs found

    Eigenvalue distribution of bipartite large weighted random graphs. Resolvent approach

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    We study eigenvalue distribution of the adjacency matrix A(N,p,α)A^{(N,p, \alpha)} of weighted random bipartite graphs Γ=ΓN,p\Gamma= \Gamma_{N,p}. We assume that the graphs have NN vertices, the ratio of parts is α1α\frac{\alpha}{1-\alpha} and the average number of edges attached to one vertex is αp\alpha\cdot p or (1α)p(1-\alpha)\cdot p. To each edge of the graph eije_{ij} we assign a weight given by a random variable aija_{ij} with the finite second moment. We consider the resolvents G(N,p,α)(z)G^{(N,p, \alpha)}(z) of A(N,p,α)A^{(N,p, \alpha)} and study the functions f1,N(u,z)=1[αN]k=1[αN]euak2Gkk(N,p,α)(z)f_{1,N}(u,z)=\frac{1}{[\alpha N]}\sum_{k=1}^{[\alpha N]}e^{-ua_k^2G_{kk}^{(N,p,\alpha)}(z)} and f2,N(u,z)=1N[αN]k=[αN]+1Neuak2Gkk(N,p,α)(z)f_{2,N}(u,z)=\frac{1}{N-[\alpha N]}\sum_{k=[\alpha N]+1}^Ne^{-ua_k^2G_{kk}^{(N,p,\alpha)}(z)} in the limit NN\to \infty. We derive closed system of equations that uniquely determine the limiting functions f1(u,z)f_{1}(u,z) and f2(u,z)f_{2}(u,z). This system of equations allow us to prove the existence of the limiting measure σp,α\sigma_{p, \alpha} . The weak convergence in probability of normalized eigenvalue counting measures is proved.Comment: 12 pages. arXiv admin note: text overlap with arXiv:0911.5684 by other author

    Scattering through a straight quantum waveguide with combined boundary conditions

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    Scattering through a straight two-dimensional quantum waveguide Rx(0,d) with Dirichlet boundary conditions on (-\infty,0)x{y=0} \cup (0,\infty)x{y=d} and Neumann boundary condition on (-infty,0)x{y=d} \cup (0,\infty)x{y=0} is considered using stationary scattering theory. The existence of a matching conditions solution at x=0 is proved. The use of stationary scattering theory is justified showing its relation to the wave packets motion. As an illustration, the matching conditions are also solved numerically and the transition probabilities are shown.Comment: 26 pages, 3 figure

    Singular-hyperbolic attractors are chaotic

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    We prove that a singular-hyperbolic attractor of a 3-dimensional flow is chaotic, in two strong different senses. Firstly, the flow is expansive: if two points remain close for all times, possibly with time reparametrization, then their orbits coincide. Secondly, there exists a physical (or Sinai-Ruelle-Bowen) measure supported on the attractor whose ergodic basin covers a full Lebesgue (volume) measure subset of the topological basin of attraction. Moreover this measure has absolutely continuous conditional measures along the center-unstable direction, is a uu-Gibbs state and an equilibrium state for the logarithm of the Jacobian of the time one map of the flow along the strong-unstable direction. This extends to the class of singular-hyperbolic attractors the main elements of the ergodic theory of uniformly hyperbolic (or Axiom A) attractors for flows.Comment: 55 pages, extra figures (now a total of 16), major rearrangement of sections and corrected proofs, improved introductio
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