9 research outputs found
The Integrable Bootstrap Program at Large N and its Applications in Gauge Theory
We present results for the large- limit of the (1+1)-dimensional principal
chiral sigma model. This is an asymptotically-free matrix-valued
field with massive excitations. All the form factors and the exact correlation
functions of the Noether-current operator and the energy-momentum tensor are
found, from Smirnov's form-factor axioms. We consider (2+1)-dimensional
Yang-Mills theory as an array of principal chiral models with a
current-current interaction. We discuss how to use our new form factors to
calculate physical quantities in this gauge theory.Comment: Presented at the 31st International Symposium on Lattice Field Theory
(Lattice 2013), 29 July - 3 August 2013, Mainz, Germany. Some references
added in the updated versio
Longitudinal Rescaling of Quantum Electrodynamics
We investigate quantum longitudinal rescaling of electrodynamics,
transforming coordinates as and , to one loop. We do this by an aspherical Wilsonian renormalization,
which was applied earlier to pure Yang-Mills theory. We find the anomalous
powers of in the renormalized couplings. Our result is only valid for
, because perturbation theory breaks down for .Comment: Version to appear in Phys. Rev.
Correlation Functions of the SU(infinity) Principal Chiral Model
We obtain exact matrix elements of physical operators of the
(1+1)-dimensional nonlinear sigma model of an SU(N)-valued bare field, in the
't Hooft limit N goes to infinity. Specifically, all the form factors of the
Noether current and the stress-energy-momentum tensor are found with an
integrable bootstrap method. These form factors are used to find vacuum
expectation values of products of these operators.Comment: Further typographical errors corrected to conform to the published
version (which will appear in Physical Review D). Still revtex, 12 page
Accounting for Uncertainty When Estimating Counts Through an Average Rounded to the Nearest Integer
In practice, the use of rounding is ubiquitous. Although researchers have
looked at the implications of rounding continuous random variables, rounding
may be applied to functions of discrete random variables as well. For example,
to infer on suicide difference between two time periods, authorities may
provide a rounded average of deaths for each period. Suicide rates tend to be
relatively low around the world and such rounding may seriously affect
inference on the change of suicide rate. In this paper, we study the scenario
when a rounded to nearest integer average is used to estimate a non-negative
discrete random variable. Specifically, our interest is in drawing inference on
a parameter from the pmf of Y, when we get U=n[Y/n]as a proxy for Y. The
probability generating function of U, E(U), and Var(U) capture the effect of
the coarsening of the support of Y. Also, moments and estimators of
distribution parameters are explored for some special cases. Under certain
conditions, there is little impact from rounding. However, we also find
scenarios where rounding can significantly affect statistical inference as
demonstrated in two applications. The simple methods we propose are able to
partially counter rounding error effects
Smoothening block rewards: How much should miners pay for mining pools?
The rewards a blockchain miner earns vary with time. Most of the time is
spent mining without receiving any rewards, and only occasionally the miner
wins a block and earns a reward. Mining pools smoothen the stochastic flow of
rewards, and in the ideal case, provide a steady flow of rewards over time.
Smooth block rewards allow miners to choose an optimal mining power growth
strategy that will result in a higher reward yield for a given investment. We
quantify the economic advantage for a given miner of having smooth rewards, and
use this to define a maximum percentage of rewards that a miner should be
willing to pay for the mining pool services.Comment: 15 pages, 1 figur
An Agent-Based Model Framework for Utility-Based Cryptoeconomies
In this paper, we outline a framework for modeling utility-based
blockchain-enabled economic systems using Agent Based Modeling (ABM). Our
approach is to model the supply dynamics based on metrics of the cryptoeconomy.
We then build autonomous agents that make decisions based on those metrics.
Those decisions, in turn, impact the metrics in the next time-step, creating a
closed loop that models the evolution of cryptoeconomies over time. We apply
this framework as a case-study to Filecoin, a decentralized blockchain-based
storage network. We perform several experiments that explore the effect of
different strategies, capitalization, and external factors to agent rewards,
that highlight the efficacy of our approach to modeling blockchain based
cryptoeconomies.Comment: 14 pages, 5 figure
Duality and form factors in the thermally deformed two-dimensional tricritical Ising model
The thermal deformation of the critical point action of the 2D tricritical
Ising model gives rise to an exact scattering theory with seven massive
excitations based on the exceptional Lie algebra. The high and low
temperature phases of this model are related by duality. This duality
guarantees that the leading and sub-leading magnetisation operators,
and , in either phase are accompanied by associated
disorder operators, and . Working specifically in the high
temperature phase, we write down the sets of bootstrap equations for these four
operators. For and , the equations are identical in
form and are parameterised by the values of the one-particle form factors of
the two lightest odd particles. Similarly, the equations for
and have identical form and are parameterised by two
elementary form factors. Using the clustering property, we show that these four
sets of solutions are eventually not independent; instead, the parameters of
the solutions for are fixed in terms of those for
. We use the truncated conformal space approach to confirm
numerically the derived expressions of the matrix elements as well as the
validity of the -sum rule as applied to the off-critical correlators.
We employ the derived form factors of the order and disorder operators to
compute the exact dynamical structure factors of the theory, a set of
quantities with a rich spectroscopy which may be directly tested in future
inelastic neutron or Raman scattering experiments.Comment: v2: typos corrected, some details clarified, references added, tables
and figures updated. v3: some more details clarified, typos correcte