355 research outputs found

    Extrapolation of power series by self-similar factor and root approximants

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    The problem of extrapolating the series in powers of small variables to the region of large variables is addressed. Such a problem is typical of quantum theory and statistical physics. A method of extrapolation is developed based on self-similar factor and root approximants, suggested earlier by the authors. It is shown that these approximants and their combinations can effectively extrapolate power series to the region of large variables, even up to infinity. Several examples from quantum and statistical mechanics are analysed, illustrating the approach.Comment: 21 pages, Latex fil

    Quenched Averages for self-avoiding walks and polygons on deterministic fractals

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    We study rooted self avoiding polygons and self avoiding walks on deterministic fractal lattices of finite ramification index. Different sites on such lattices are not equivalent, and the number of rooted open walks W_n(S), and rooted self-avoiding polygons P_n(S) of n steps depend on the root S. We use exact recursion equations on the fractal to determine the generating functions for P_n(S), and W_n(S) for an arbitrary point S on the lattice. These are used to compute the averages ,,, , and <logWn(S)><log W_n(S)> over different positions of S. We find that the connectivity constant μ\mu, and the radius of gyration exponent ν\nu are the same for the annealed and quenched averages. However,  nlogμ+(αq2)logn ~ n log \mu + (\alpha_q -2) log n, and  nlogμ+(γq1)logn ~ n log \mu + (\gamma_q -1)log n, where the exponents αq\alpha_q and γq\gamma_q take values different from the annealed case. These are expressed as the Lyapunov exponents of random product of finite-dimensional matrices. For the 3-simplex lattice, our numerical estimation gives αq0.72837±0.00001 \alpha_q \simeq 0.72837 \pm 0.00001; and γq1.37501±0.00003\gamma_q \simeq 1.37501 \pm 0.00003, to be compared with the annealed values αa=0.73421\alpha_a = 0.73421 and γa=1.37522\gamma_a = 1.37522.Comment: 17 pages, 10 figures, submitted to Journal of Statistical Physic

    Non-perturbative calculations for the effective potential of the PTPT symmetric and non-Hermitian (gϕ4)(-g\phi^{4}) field theoretic model

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    We investigate the effective potential of the PTPT symmetric (gϕ4)(-g\phi^{4}) field theory, perturbatively as well as non-perturbatively. For the perturbative calculations, we first use normal ordering to obtain the first order effective potential from which the predicted vacuum condensate vanishes exponentially as GG+G\to G^+ in agreement with previous calculations. For the higher orders, we employed the invariance of the bare parameters under the change of the mass scale tt to fix the transformed form totally equivalent to the original theory. The form so obtained up to G3G^3 is new and shows that all the 1PI amplitudes are perurbative for both G1G\ll 1 and G1G\gg 1 regions. For the intermediate region, we modified the fractal self-similar resummation method to have a unique resummation formula for all GG values. This unique formula is necessary because the effective potential is the generating functional for all the 1PI amplitudes which can be obtained via nE/bn\partial^n E/\partial b^n and thus we can obtain an analytic calculation for the 1PI amplitudes. Again, the resummed from of the effective potential is new and interpolates the effective potential between the perturbative regions. Moreover, the resummed effective potential agrees in spirit of previous calculation concerning bound states.Comment: 20 page

    Critical Indices as Limits of Control Functions

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    A variant of self-similar approximation theory is suggested, permitting an easy and accurate summation of divergent series consisting of only a few terms. The method is based on a power-law algebraic transformation, whose powers play the role of control functions governing the fastest convergence of the renormalized series. A striking relation between the theory of critical phenomena and optimal control theory is discovered: The critical indices are found to be directly related to limits of control functions at critical points. The method is applied to calculating the critical indices for several difficult problems. The results are in very good agreement with accurate numerical data.Comment: 1 file, 5 pages, RevTe

    Log-periodic route to fractal functions

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    Log-periodic oscillations have been found to decorate the usual power law behavior found to describe the approach to a critical point, when the continuous scale-invariance symmetry is partially broken into a discrete-scale invariance (DSI) symmetry. We classify the `Weierstrass-type'' solutions of the renormalization group equation F(x)= g(x)+(1/m)F(g x) into two classes characterized by the amplitudes A(n) of the power law series expansion. These two classes are separated by a novel ``critical'' point. Growth processes (DLA), rupture, earthquake and financial crashes seem to be characterized by oscillatory or bounded regular microscopic functions g(x) that lead to a slow power law decay of A(n), giving strong log-periodic amplitudes. In contrast, the regular function g(x) of statistical physics models with ``ferromagnetic''-type interactions at equibrium involves unbound logarithms of polynomials of the control variable that lead to a fast exponential decay of A(n) giving weak log-periodic amplitudes and smoothed observables. These two classes of behavior can be traced back to the existence or abscence of ``antiferromagnetic'' or ``dipolar''-type interactions which, when present, make the Green functions non-monotonous oscillatory and favor spatial modulated patterns.Comment: Latex document of 29 pages + 20 ps figures, addition of a new demonstration of the source of strong log-periodicity and of a justification of the general offered classification, update of reference lis

    Multifractality in Time Series

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    We apply the concepts of multifractal physics to financial time series in order to characterize the onset of crash for the Standard & Poor's 500 stock index x(t). It is found that within the framework of multifractality, the "analogous" specific heat of the S&P500 discrete price index displays a shoulder to the right of the main peak for low values of time lags. On decreasing T, the presence of the shoulder is a consequence of the peaked, temporal x(t+T)-x(t) fluctuations in this regime. For large time lags (T>80), we have found that C_{q} displays typical features of a classical phase transition at a critical point. An example of such dynamic phase transition in a simple economic model system, based on a mapping with multifractality phenomena in random multiplicative processes, is also presented by applying former results obtained with a continuous probability theory for describing scaling measures.Comment: 22 pages, Revtex, 4 ps figures - To appear J. Phys. A (2000

    Self-Similar Interpolation in Quantum Mechanics

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    An approach is developed for constructing simple analytical formulae accurately approximating solutions to eigenvalue problems of quantum mechanics. This approach is based on self-similar approximation theory. In order to derive interpolation formulae valid in the whole range of parameters of considered physical quantities, the self-similar renormalization procedure is complimented here by boundary conditions which define control functions guaranteeing correct asymptotic behaviour in the vicinity of boundary points. To emphasize the generality of the approach, it is illustrated by different problems that are typical for quantum mechanics, such as anharmonic oscillators, double-well potentials, and quasiresonance models with quasistationary states. In addition, the nonlinear Schr\"odinger equation is considered, for which both eigenvalues and wave functions are constructed.Comment: 1 file, 30 pages, RevTex, no figure

    Chern-Simons Theory for Magnetization Plateaus of Frustrated J1J_1-J2J_2 Heisenberg model

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    The magnetization curve of the two-dimensional spin-1/2 J1J_1-J2J_2 Heisenberg model is investigated by using the Chern-Simons theory under a uniform mean-field approximation. We find that the magnetization curve is monotonically increasing for J2/J1<0.267949J_2/J_1 < 0.267949, where the system under zero external field is in the antiferromagnetic N\'eel phase. For larger ratios of J2/J1J_2/J_1, various plateaus will appear in the magnetization curve. In particular, in the disordered phase, our result supports the existence of the M/Msat=1/2M/M_{\rm sat}=1/2 plateau and predicts a new plateau at M/Msat=1/3M/M_{\rm sat}=1/3. By identifying the onset ratio J2/J1J_2/J_1 for the appearance of the 1/2-plateau with the boundary between the N\'eel and the spin-disordered phases in zero field, we can determine this phase boundary accurately by this mean-field calculation. Verification of these interesting results would indicate a strong connection between the frustrated antiferromagnetic system and the quantum Hall system.Comment: RevTeX 4, 4 pages, 3 EPS figure

    Critical properties of 1-D spin 1/2 antiferromagnetic Heisenberg model

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    We discuss numerical results for the 1-D spin 1/2 antiferromagnetic Heisenberg model with next-to-nearest neighbour coupling and in the presence of an uniform magnetic field. The model develops zero frequency excitations at field dependent soft mode momenta. We compute critical quantities from finite size dependence of static structure factors.Comment: talk given by H. Kr{\"o}ger at Heraeus Seminar Theory of Spin Lattices and Lattice Gauge Models, Bad Honnef (1996), 20 pages, LaTeX + 18 figures, P

    Self-Similar Bootstrap of Divergent Series

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    A method is developed for calculating effective sums of divergent series. This approach is a variant of the self-similar approximation theory. The novelty here is in using an algebraic transformation with a power providing the maximal stability of the self-similar renormalization procedure. The latter is to be repeated as many times as it is necessary in order to convert into closed self-similar expressions all sums from the series considered. This multiple and complete renormalization is called self-similar bootstrap. The method is illustrated by several examples from statistical physics.Comment: 1 file, 22 pages, RevTe
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