3,325 research outputs found
Subgaussian concentration and rates of convergence in directed polymers
We consider directed random polymers in (d+1) dimensions with nearly gamma i.i.d. disorder. We study the partition function ZN,ω and establish exponential concentration of log ZN,ω about its mean on the subgaussian scale √N/log N . This is used to show that E[log ZN,ω] differs from N times the free energy by an amount which is also subgaussian (i.e. o(√N)), specifically O(√N/logN log log N)
The Trans-Contextual Model of Autonomous Motivation in Education: Conceptual and Empirical Issues and Meta-Analysis.
The trans-contextual model outlines the processes by which autonomous motivation toward activities in a physical education context predicts autonomous motivation toward physical activity outside of school, and beliefs about, intentions toward, and actual engagement in, out-of-school physical activity. In the present article, we clarify the fundamental propositions of the model and resolve some outstanding conceptual issues, including its generalizability across multiple educational domains, criteria for its rejection or failed replication, the role of belief-based antecedents of intentions, and the causal ordering of its constructs. We also evaluate the consistency of model relationships in previous tests of the model using path-analytic meta-analysis. The analysis supported model hypotheses but identified substantial heterogeneity in the hypothesized relationships across studies unattributed to sampling and measurement error. Based on our meta-analysis, future research needs to provide further replications of the model in diverse educational settings beyond physical education and test model hypotheses using experimental methods
Melting of genomic DNA: predictive modeling by nonlinear lattice dynamics
The melting behavior of long, heterogeneous DNA chains is examined within the
framework of the nonlinear lattice dynamics based Peyrard-Bishop-Dauxois (PBD)
model. Data for the pBR322 plasmid and the complete T7 phage have been used to
obtain model fits and determine parameter dependence on salt content. Melting
curves predicted for the complete fd phage and the Y1 and Y2 fragments of the
X174 phage without any adjustable parameters are in good agreement with
experiment. The calculated probabilities for single base-pair opening are
consistent with values obtained from imino proton exchange experiments.Comment: 5 pages, 4 figures, to appear in Phys. Rev.
Plane wave/pseudopotential implementation of excited state gradients in density functional linear response theory: a new route via implicit differentiation
This work presents the formalism and implementation of excited state nuclear
forces within density functional linear response theory (TDDFT) using a plane
wave basis set. An implicit differentiation technique is developed for
computing nonadiabatic coupling between Kohn-Sham molecular orbital
wavefunctions as well as gradients of orbital energies which are then used to
calculate excited state nuclear forces. The algorithm has been implemented in a
plane wave/pseudopotential code taking into account only a reduced active
subspace of molecular orbitals. It is demonstrated for the H and N
molecules that the analytical gradients rapidly converge to the exact forces
when the active subspace of molecular orbitals approaches completeness
Fluctuation symmetries for work and heat
We consider a particle dragged through a medium at constant temperature as
described by a Langevin equation with a time-dependent potential. The
time-dependence is specified by an external protocol. We give conditions on
potential and protocol under which the dissipative work satisfies an exact
symmetry in its fluctuations for all times. We also present counter examples to
that exact fluctuation symmetry when our conditions are not satisfied. Finally,
we consider the dissipated heat which differs from the work by a temporal
boundary term. We explain when and why there can be a correction to the
standard fluctuation theorem due to the unboundedness of that temporal
boundary. However, the corrected fluctuation symmetry has again a general
validity.Comment: 10 pages, 4 figures (v2: minor typographic corrections
Recommended from our members
Age, sex, adult and larval diet shape starvation resistance in the Mediterranean fruit fly: an ecological and gerontological perspective.
The ability of an animal to withstand periods of food deprivation is a key driver of invasion success (biodiversity), adaptation to new conditions, and a crucial determinant of senescence in populations. Starvation resistance (SR) is a highly plastic trait and varies in relation to environmental and genetic variables. However, beyond Drosophila, SR has been studied poorly. Exploiting an interesting model species in invasion and ageing studies-the Mediterranean fruit fly (Ceratitis capitata)- we investigated how age, food and gender, shape SR in this species. We measured SR in adults feeding in rich and poor dietary conditions, which had been reared either on natural hosts or artificial larval diet, for every single day across their lifespan. We defined which factor is the most significant determinant of SR and we explored potential links between SR and ageing. We found that SR declines with age, and that age-specific patterns are shaped in relation to adult and larval diet. Females exhibited higher SR than males. Age and adult diet were the most significant determinants of SR, followed by gender and the larval diet. Starvation resistance proved to be a weak predictor of functional ageing. Possible underlying mechanisms, ecological and gerontological significance and potential applied benefits are discussed
Vanna-Volga methods applied to FX derivatives : from theory to market practice
We study Vanna-Volga methods which are used to price first generation exotic
options in the Foreign Exchange market. They are based on a rescaling of the
correction to the Black-Scholes price through the so-called `probability of
survival' and the `expected first exit time'. Since the methods rely heavily on
the appropriate treatment of market data we also provide a summary of the
relevant conventions. We offer a justification of the core technique for the
case of vanilla options and show how to adapt it to the pricing of exotic
options. Our results are compared to a large collection of indicative market
prices and to more sophisticated models. Finally we propose a simple
calibration method based on one-touch prices that allows the Vanna-Volga
results to be in line with our pool of market data
Traveling and pinned fronts in bistable reaction-diffusion systems on network
Traveling fronts and stationary localized patterns in bistable
reaction-diffusion systems have been broadly studied for classical continuous
media and regular lattices. Analogs of such non-equilibrium patterns are also
possible in networks. Here, we consider traveling and stationary patterns in
bistable one-component systems on random Erd\"os-R\'enyi, scale-free and
hierarchical tree networks. As revealed through numerical simulations,
traveling fronts exist in network-organized systems. They represent waves of
transition from one stable state into another, spreading over the entire
network. The fronts can furthermore be pinned, thus forming stationary
structures. While pinning of fronts has previously been considered for chains
of diffusively coupled bistable elements, the network architecture brings about
significant differences. An important role is played by the degree (the number
of connections) of a node. For regular trees with a fixed branching factor, the
pinning conditions are analytically determined. For large Erd\"os-R\'enyi and
scale-free networks, the mean-field theory for stationary patterns is
constructed
Dynamic Algorithms for the Massively Parallel Computation Model
The Massive Parallel Computing (MPC) model gained popularity during the last
decade and it is now seen as the standard model for processing large scale
data. One significant shortcoming of the model is that it assumes to work on
static datasets while, in practice, real-world datasets evolve continuously. To
overcome this issue, in this paper we initiate the study of dynamic algorithms
in the MPC model.
We first discuss the main requirements for a dynamic parallel model and we
show how to adapt the classic MPC model to capture them. Then we analyze the
connection between classic dynamic algorithms and dynamic algorithms in the MPC
model. Finally, we provide new efficient dynamic MPC algorithms for a variety
of fundamental graph problems, including connectivity, minimum spanning tree
and matching.Comment: Accepted to the 31st ACM Symposium on Parallelism in Algorithms and
Architectures (SPAA 2019
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