Random geometric graphs, Apollonian packings, number networks, and the Riemann hypothesis

Transcription

1 Random geometric graphs, Apollonian packings, number networks, and the Riemann hypothesis Dmitri Krioukov NU M. Kitsak (NU), R. Sinkovits (UCSD/SDSC) David Rideout & David Meyer UCSD/Math Marian Boguñá U. Barcelona Applied and Interdisciplinary Mathematics Seminar NU, Boston, February 2014

2 Random geometric graphs Discretizations of continuous spaces Riemannian Nodes are atoms of space Links reflect proximity Lorentzian Nodes are atoms of spacetime Links reflect causality Random geometric graphs in non-pathological Lorentzian spacetimes define, up to the conformal factor, the spacetime itself (Hawking/Malament theorem)

3 Random Riemannian graphs Given N nodes Hidden variables: Node coordinates κ in a Riemannian space ρ κ : uniform in the space Connection probability: p κ, κ = Θ R d κ, κ Results: Clustering: Strong Degree distribution: Power law (hyperbolic) κ d κ, κ < R κ

4 Lorentzian Random Riemannian graphs Given N nodes Hidden variables: Node coordinates κ in a Lorentzian Riemannian space ρ κ : uniform in the space Connection probability: p κ, κ = Θ R d κ, κ 0 Results: Clustering: Strong Degree distribution: Power law (de Sitter) κ d κ, κ 0 < R κ

5 Taxonomy of Riemannian spaces

6 Taxonomy of Lorentzian spaces Curvature 0 >0 <0 Space Minkowski De Sitter Anti-de Sitter De Sitter is dual to hyperbolic Random hyperbolic graphs N Random de Sitter graphs

7 ds 2 = dx 2 + dy 2 dz 2 x 2 + y 2 z 2 = 1 r P = tanh r H 2 x 2 + y 2 < 1 ds 2 = dx 2 + dy 2 + dz 2 r E = ie ir H, 2

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19 Degree distribution P k k γ γ = k B + 1 k B = 2 K Clustering c k k 1 maximized

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21 Growing hyperbolic model New nodes t = 1,2, are coming one at a time Radial coordinate r t log t Angular coordinate θ t U 0,2π Connect to O 1 hyperbolically closest existing nodes; or Connect to all existing nodes at distance r t

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23 The key properties of the model Angular coordinates are projections of properly weighted combinations of all the (hidden) similarity attributes shaping network structure and dynamics Infer these (hidden) coordinates using maximumlikelihood methods The results describe remarkably well not only the structure of some real networks, but also their dynamics Validating not only consequences of this dynamics (network structure), but also the dynamics itself Prediction of missing links using this approach outperforms best-performing methods

24 The key properties of the model Angular coordinates are projections of properly weighted combinations of all the (hidden) similarity attributes shaping network structure and dynamics Infer these (hidden) coordinates using maximumlikelihood methods The results describe remarkably well not only the structure of some real networks, but also their dynamics Validating not only consequences of this dynamics (network structure), but also the dynamics itself Prediction of missing links using this approach outperforms best-performing methods

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26 x 2 + y 2 z 2 = 1 x 2 + y 2 z 2 = +1

27 Light cones

28 Random Lorentzian graphs (causal sets)

29 x 2 + y 2 z 2 = 1 x 2 + y 2 z 2 = +1

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33 Hyperbolic space z z z d+1 = b 2 = 1 K z 0 = b cosh ρ, z i = b ω i sinh ρ, ρ = r b ds 2 = b 2 dρ 2 + sinh 2 ρ dω d 2 dv = b d+1 sinh d ρ dρ dφ d b b 2 d e dρ dρ dφ d

34 De Sitter spacetime z z z d+1 = a 2 = 1 K z 0 = a sinh τ, z i = a ω i cosh τ, τ = t a ds 2 = a 2 dτ 2 + cosh 2 τ dω d 2 sec η = cosh τ, conformal time ds 2 = a 2 sec 2 η dη 2 + dω d 2 dv = a d+1 sec d+1 η dη dφ d = a d+1 cosh d τ dτ dφ d a a d e dτ dτ dφ 2 d

35 Hyperbolic balls ρ 0 = 2 ln N 0, current ball radius, i.e., d ν the radial coordinate of new node N 0 Hyperbolic distance from the new node x = b acosh cosh ρ cosh ρ 0 sinh ρ sinh ρ 0 cos Δθ b ρ + ρ ln Δθ 2 x < bρ 0, connection condition ρ + 2 ln Δθ 2 < 0, approximately

36 Past light cones Δθ < Δη, connection condition Δθ < η 0 η = asec cosh τ 0 asec cosh τ 2 e τ e τ 0, where η 0, τ 0 is the current time Δθ < 2e τ, approximately ρ + 2 ln Δθ < 0, in the hyperbolic case 2 The last two inequalities are the same iff τ = ρ 2 Mapping, two equivalent options: t = r; a = 2b t = r ; a = b 2

37 Node density Hyperbolic, non-uniform N = νe dρ 2 dv b b 2 d e dρ dρ dφ d dn = δ e dρ 2 dv De Sitter, uniform dv a a 2 d e dτ dτ dφ d = b d+1 e dρ 2 dρ dφ d dn = δ dv, where δ = dν 2b d+1 σ d, σ d = dφ d = 2π d+1 2 Γ d+1 2

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39 Web of trust (PGP graph) User A Data A address, PGP certificate Trust User A signs data B User B Data B address, PGP certificate

40 Brain (fmri graph)

41 De Sitter universe The universe is accelerating Dark energy (73%) is an explanation Remove all matter from the universe Dark matter (23%) Observable matter (4%) Obtain de Sitter spacetime Solution to Einstein s field equations for an empty universe with positive vacuum energy (cosmological constant Λ > 0)

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44 Exponential random graphs Intuition: Maximum-entropy graphs under the constraints that expected values of some graph observables are equal to given values Definition: Set of graphs G with probability measure where the partition function and P G Z = = e G H(G) k B T Z e H(G) k B T H G = ω i O i G i is the graph Hamiltonian with Lagrange multipliers ω i maximizing the Gibbs entropy under constraints S = P G ln P G G G P G O i G = O i

45 RHGs as ERGs Hamiltonian of graph G with adjacency matrix A ij is H G = ω ij A ij i<j where ω ij = x ij R, and x ij is the hyperbolic distance between nodes i and j, and R is the disk radius In the limit T, k B 0, k B T = γ 1 (soft configuration model or random graphs with a given expected degree sequence) ω ij ω i + ω j H G ω i k i i H = xp is the Berry-Keating Hamiltonian conjectured to be related, after quantization, to the Polya-Hilbert Hermitian operator (unknown) containing non-trivial Riemann zeros Some extensions of H = xp yield the Hamiltonian of non-interacting fermions in de Sitter spacetime Graph edges in hyperbolic graphs are non-interacting fermions with energy x ij (graph energy is H G, while R is the chemical potential of the fermionic gas)

46 Euclidean Apollonian packing

47 Spherical Apollonian packing

48 Hyperbolic Apollonian packing

49 Descartes theorem Descartes quadratic form Q a, b, c, d = 2 a 2 + b 2 + c 2 + d 2 a + b + c + d 2 If a, b, c, d are curvatures of any four mutually tangent disks, then Q a, b, c, d = 0 in any Euclidean covering Q a, b, c, d = 4 in any spherical covering Q a, b, c, d = 4 in any hyperbolic covering

50 Lorentz form There exists symmetric matrix J, J 2 = I, such that L = 1 2 JQJT is L T, X, Y, Z = T 2 + X 2 + Y 2 + Z 2 That is, J maps integers curvatures of tangent disk quadruples to integer coordinates of points lying in 1+2-dimensional light cone (Euclidean covering) hyperbolic space (spherical covering) de Sitter space (hyperbolic covering) in the 1+3-dimensional Minkowski space The point density (CDF) is asymptotically uniform in all cases

51 Apollonian questions Since the point density is uniform, hyperbolic Apollonian covering networks are asymptotically random de Sitter graphs with power-law degree distributions, strong clustering, etc. What are their exact properties? What are timelike-separated (connected) versus spacelike-separated (disconnected) pairs of tangent disk quadruples?

52 Symmetries The group of isometries of H 1,2 and ds 1,2 is the Lorentz group SO(1,3) Apollonian covering is its subgroup SO(1,3, Z) SO 1,3 is isomorphic to the conformal group SL(2, C) SO(1,3, Z) is isomorphic to the modular group SL(2, Z) SL 2, X (X = C, Z) acts transitively on PX 2 by linear fractional transformations a b c d : x y ax + by cx + dy In particular, SL 2, Z acts transitively on (ir)reducible fractions

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57 Uniformity of Farey numbers The distribution of Farey rationals on [0,1] is very close to uniform Let f k, k = 1,, N, be a sequnce of Farey numbers p k q k for some Q q k (N Q 3Q 2 /π 2 is given by Euler s totient function) Let g k = k, and d N k = f k g k Franel-Landau theorem: the Riemann hypothesis is equivalent to for any ε > 0 k d k = O Q 1 2 +ε

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59 Divisibility networks Two natural numbers are connected if one divides the other or if they are not coprime Degree distribution is a power law with exponent γ = 2 Clustering is strong c = 1 2 That is, the same as in random de Sitter graphs or hyperbolic Apollonian packings Many other important statistical structural properties also appear similar in experiments

60 Number-geometric questions Are their any (soft) embeddings of Farey or divisibility networks into (de Sitter) spaces? If such embeddings are found, then timelike distances will have clear interpretations But what are spacelike distances??? What is the hidden geometry of numbers???

61 D. Krioukov, F. Papadopoulos, A. Vahdat, and M. Boguñá, Hyperbolic Geometry of Complex Networks, Physical Review E, v.82, , 2010, Physical Review E, v.80, (R), 2009 F. Papadopoulos, M. Kitsak, M. Á. Serrano, M. Boguñá, and D. Krioukov, Popularity versus Similarity in Growing Networks, Nature, v.489, p.537, 2012 D. Krioukov, M. Kitsak, R. Sinkovits, D. Rideout, D. Meyer, and M. Boguñá, Network Cosmology, Nature Scientific Reports, v.2, 793, 2012 Press: Space, Time, UCSD, SDSC, Space, Time, TheRegister, CBS, HuffingtonPost, HuffingtonPostUK, PopularScience, LiveScience, Slashdot, Robots.Net, PhysOrg, ScienceDaily, TGDaily, DigitalJournal, Vesti, MK, LifeNews, therunet