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1,802.0806
Shadows of spherically symmetric black holes and naked singularities
We compare shadows cast by Schwarzschild black holes with those produced by two classes of naked singularities that result from gravitational collapse of spherically symmetric matter. The latter models consist of an interior naked singularity spacetime restricted to radii $r\leq R_b$, matched to Schwarzschild spacetime outside the boundary radius $R_b$. While a black hole always has a photon sphere and always casts a shadow, we find that the naked singularity models have photon spheres only if a certain parameter $M_0$ that characterizes these models satisfies $M_0\geq 2/3$, or equivalently, if $R_b\leq 3M$, where $M$ is the total mass of the object. Such models do produce shadows. However, models with $M_0<2/3$ (or $R_b>3M$) have no photon sphere and do not produce a shadow. Instead, they produce an interesting `full-moon' image. These results imply that the presence of a shadow does not by itself prove that a compact object is necessarily a black hole. The object could be a naked singularity with $M_0\geq 2/3$, and we will need other observational clues to distinguish the two possibilities. On the other hand, the presence of a full-moon image would certainly rule out a black hole and might suggest a naked singularity with $M_0<2/3$. It would be worthwhile to generalize the present study, which is restricted to spherically symmetric models, to rotating black holes and naked singularities.
astro-ph.HE gr-qc hep-th
we compare shadows cast by schwarzschild black holes with those produced by two classes of naked singularities that result from gravitational collapse of spherically symmetric matter the latter models consist of an interior naked singularity spacetime restricted to radii rleq r_b matched to schwarzschild spacetime outside the boundary radius r_b while a black hole always has a photon sphere and always casts a shadow we find that the naked singularity models have photon spheres only if a certain parameter m_0 that characterizes these models satisfies m_0geq 23 or equivalently if r_bleq 3m where m is the total mass of the object such models do produce shadows however models with m_023 or r_b3m have no photon sphere and do not produce a shadow instead they produce an interesting fullmoon image these results imply that the presence of a shadow does not by itself prove that a compact object is necessarily a black hole the object could be a naked singularity with m_0geq 23 and we will need other observational clues to distinguish the two possibilities on the other hand the presence of a fullmoon image would certainly rule out a black hole and might suggest a naked singularity with m_023 it would be worthwhile to generalize the present study which is restricted to spherically symmetric models to rotating black holes and naked singularities
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1,802.08061
Algorithmic Collusion in Cournot Duopoly Market: Evidence from Experimental Economics
Algorithmic collusion is an emerging concept in current artificial intelligence age. Whether algorithmic collusion is a creditable threat remains as an argument. In this paper, we propose an algorithm which can extort its human rival to collude in a Cournot duopoly competing market. In experiments, we show that, the algorithm can successfully extorted its human rival and gets higher profit in long run, meanwhile the human rival will fully collude with the algorithm. As a result, the social welfare declines rapidly and stably. Both in theory and in experiment, our work confirms that, algorithmic collusion can be a creditable threat. In application, we hope, the frameworks, the algorithm design as well as the experiment environment illustrated in this work, can be an incubator or a test bed for researchers and policymakers to handle the emerging algorithmic collusion.
econ.EM cs.GT stat.AP stat.ML
algorithmic collusion is an emerging concept in current artificial intelligence age whether algorithmic collusion is a creditable threat remains as an argument in this paper we propose an algorithm which can extort its human rival to collude in a cournot duopoly competing market in experiments we show that the algorithm can successfully extorted its human rival and gets higher profit in long run meanwhile the human rival will fully collude with the algorithm as a result the social welfare declines rapidly and stably both in theory and in experiment our work confirms that algorithmic collusion can be a creditable threat in application we hope the frameworks the algorithm design as well as the experiment environment illustrated in this work can be an incubator or a test bed for researchers and policymakers to handle the emerging algorithmic collusion
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1,802.08062
Analytic Continuation of $\zeta(s)$ Violates the Law of Non-Contradiction (LNC)
The Dirichlet series of $\zeta(s)$ was long ago proven to be divergent throughout half-plane $\text{Re}(s)\le1$. If also Riemann's proposition is true, that there exists an "expression" of $\zeta(s)$ that is convergent at all $s$ (except at $s=1$), then $\zeta(s)$ is both divergent and convergent throughout half-plane $\text{Re}(s)\le1$ (except at $s=1$). This result violates all three of Aristotle's "Laws of Thought": the Law of Identity (LOI), the Law of the Excluded Middle (LEM), and the Law of Non-Contradition (LNC). In classical and intuitionistic logics, the violation of LNC also triggers the "Principle of Explosion" / \textit{Ex Contradictione Quodlibet} (ECQ). In addition, the Hankel contour used in Riemann's analytic continuation of $\zeta(s)$ violates Cauchy's integral theorem, providing another proof of the invalidity of Riemann's $\zeta(s)$. Riemann's $\zeta(s)$ is one of the $L$-functions, which are all invalid due to analytic continuation. This result renders unsound all theorems (e.g. Modularity, Fermat's last) and conjectures (e.g. BSD, Tate, Hodge, Yang-Mills) that assume that an $L$-function (e.g. Riemann's $\zeta(s)$) is valid. We also show that the Riemann Hypothesis (RH) is not "non-trivially true" in classical logic, intuitionistic logic, or three-valued logics (3VLs) that assign a third truth-value to paradoxes (Bochvar's 3VL, Priest's $LP$).
math.GM
the dirichlet series of zetas was long ago proven to be divergent throughout halfplane textresle1 if also riemanns proposition is true that there exists an expression of zetas that is convergent at all s except at s1 then zetas is both divergent and convergent throughout halfplane textresle1 except at s1 this result violates all three of aristotles laws of thought the law of identity loi the law of the excluded middle lem and the law of noncontradition lnc in classical and intuitionistic logics the violation of lnc also triggers the principle of explosion textitex contradictione quodlibet ecq in addition the hankel contour used in riemanns analytic continuation of zetas violates cauchys integral theorem providing another proof of the invalidity of riemanns zetas riemanns zetas is one of the lfunctions which are all invalid due to analytic continuation this result renders unsound all theorems eg modularity fermats last and conjectures eg bsd tate hodge yangmills that assume that an lfunction eg riemanns zetas is valid we also show that the riemann hypothesis rh is not nontrivially true in classical logic intuitionistic logic or threevalued logics 3vls that assign a third truthvalue to paradoxes bochvars 3vl priests lp
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1,802.08063
Time-dependent nonlinear Jaynes-Cummings dynamics of a trapped ion
In quantum interaction problems with explicitly time-dependent interaction Hamiltonians, the time ordering plays a crucial role for describing the quantum evolution of the system under consideration. In such complex scenarios, exact solutions of the dynamics are rarely available. Here we study the nonlinear vibronic dynamics of a trapped ion, driven in the resolved sideband regime with some small frequency mismatch. By describing the pump field in a quantized manner, we are able to derive exact solutions for the dynamics of the system. This eventually allows us to provide analytical solutions for various types of time-dependent quantities. In particular, we study in some detail the electronic and the motional quantum dynamics of the ion, as well as the time evolution of the nonclassicality of the motional quantum state.
quant-ph
in quantum interaction problems with explicitly timedependent interaction hamiltonians the time ordering plays a crucial role for describing the quantum evolution of the system under consideration in such complex scenarios exact solutions of the dynamics are rarely available here we study the nonlinear vibronic dynamics of a trapped ion driven in the resolved sideband regime with some small frequency mismatch by describing the pump field in a quantized manner we are able to derive exact solutions for the dynamics of the system this eventually allows us to provide analytical solutions for various types of timedependent quantities in particular we study in some detail the electronic and the motional quantum dynamics of the ion as well as the time evolution of the nonclassicality of the motional quantum state
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1,802.08064
Computing the concurrency threshold of sound free-choice workflow nets
Workflow graphs extend classical flow charts with concurrent fork and join nodes. They constitute the core of business processing languages such as BPMN or UML Activity Diagrams. The activities of a workflow graph are executed by humans or machines, generically called resources. If concurrent activities cannot be executed in parallel by lack of resources, the time needed to execute the workflow increases. We study the problem of computing the minimal number of resources necessary to fully exploit the concurrency of a given workflow, and execute it as fast as possible (i.e., as fast as with unlimited resources). We model this problem using free-choice Petri nets, which are known to be equivalent to workflow graphs. We analyze the computational complexity of two versions of the problem: computing the resource and concurrency thresholds. We use the results to design an algorithm to approximate the concurrency threshold, and evaluate it on a benchmark suite of 642 industrial examples. We show that it performs very well in practice: It always provides the exact value, and never takes more than 30 milliseconds for any workflow, even for those with a huge number of reachable markings.
cs.LO
workflow graphs extend classical flow charts with concurrent fork and join nodes they constitute the core of business processing languages such as bpmn or uml activity diagrams the activities of a workflow graph are executed by humans or machines generically called resources if concurrent activities cannot be executed in parallel by lack of resources the time needed to execute the workflow increases we study the problem of computing the minimal number of resources necessary to fully exploit the concurrency of a given workflow and execute it as fast as possible ie as fast as with unlimited resources we model this problem using freechoice petri nets which are known to be equivalent to workflow graphs we analyze the computational complexity of two versions of the problem computing the resource and concurrency thresholds we use the results to design an algorithm to approximate the concurrency threshold and evaluate it on a benchmark suite of 642 industrial examples we show that it performs very well in practice it always provides the exact value and never takes more than 30 milliseconds for any workflow even for those with a huge number of reachable markings
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1,802.08065
On monotonicity of FIFO-diverging junctions
This technical note concerns the dynamics of FIFO-diverging junctions in compartmental models for traffic networks. Many strong results on the dynamical behavior of such traffic networks rely on monotonicity of the underlying dynamics. In road traffic modeling, a common model for diverging junctions is based on the First-in, first-out principle. These type of junctions pose a problem in the analysis of traffic dynamics, since their dynamics are not monotone with respect to the positive orthant. However, this technical note demonstrates that they are in fact monotone with respect to the partial order induced by a particular, polyhedral cone.
math.DS
this technical note concerns the dynamics of fifodiverging junctions in compartmental models for traffic networks many strong results on the dynamical behavior of such traffic networks rely on monotonicity of the underlying dynamics in road traffic modeling a common model for diverging junctions is based on the firstin firstout principle these type of junctions pose a problem in the analysis of traffic dynamics since their dynamics are not monotone with respect to the positive orthant however this technical note demonstrates that they are in fact monotone with respect to the partial order induced by a particular polyhedral cone
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1,802.08066
Reputation Systems for News on Twitter: A Large-Scale Study
Social networks offer a ready channel for fake and misleading news to spread and exert influence. This paper examines the performance of different reputation algorithms when applied to a large and statistically significant portion of the news that are spread via Twitter. Our main result is that simple algorithms based on the identity of the users spreading the news, as well as the words appearing in the titles and descriptions of the linked articles, are able to identify a large portion of fake or misleading news, while incurring only very low (<1%) false positive rates for mainstream websites. We believe that these algorithms can be used as the basis of practical, large-scale systems for indicating to consumers which news sites deserve careful scrutiny and skepticism.
cs.SI
social networks offer a ready channel for fake and misleading news to spread and exert influence this paper examines the performance of different reputation algorithms when applied to a large and statistically significant portion of the news that are spread via twitter our main result is that simple algorithms based on the identity of the users spreading the news as well as the words appearing in the titles and descriptions of the linked articles are able to identify a large portion of fake or misleading news while incurring only very low 1 false positive rates for mainstream websites we believe that these algorithms can be used as the basis of practical largescale systems for indicating to consumers which news sites deserve careful scrutiny and skepticism
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1,802.08067
Symmetry preserving degenerations of the generic symmetric matrix
One considers certain degenerations of the generic symmetric matrix over a field $k$ of characteristic zero and the main structures related to the determinant $f$ of the matrix, such as the ideal generated by its partial derivatives, the polar map defined by these derivatives and its image $V(f)$, the Hessian matrix, the ideal and the map given by the cofactors, and the dual variety of $V(f)$.
math.AC math.AG
one considers certain degenerations of the generic symmetric matrix over a field k of characteristic zero and the main structures related to the determinant f of the matrix such as the ideal generated by its partial derivatives the polar map defined by these derivatives and its image vf the hessian matrix the ideal and the map given by the cofactors and the dual variety of vf
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1,802.08068
Learning Hyperedge Replacement Grammars for Graph Generation
The discovery and analysis of network patterns are central to the scientific enterprise. In the present work, we developed and evaluated a new approach that learns the building blocks of graphs that can be used to understand and generate new realistic graphs. Our key insight is that a graph's clique tree encodes robust and precise information. We show that a Hyperedge Replacement Grammar (HRG) can be extracted from the clique tree, and we develop a fixed-size graph generation algorithm that can be used to produce new graphs of a specified size. In experiments on large real-world graphs, we show that graphs generated from the HRG approach exhibit a diverse range of properties that are similar to those found in the original networks. In addition to graph properties like degree or eigenvector centrality, what a graph "looks like" ultimately depends on small details in local graph substructures that are difficult to define at a global level. We show that the HRG model can also preserve these local substructures when generating new graphs.
cs.SI cs.FL
the discovery and analysis of network patterns are central to the scientific enterprise in the present work we developed and evaluated a new approach that learns the building blocks of graphs that can be used to understand and generate new realistic graphs our key insight is that a graphs clique tree encodes robust and precise information we show that a hyperedge replacement grammar hrg can be extracted from the clique tree and we develop a fixedsize graph generation algorithm that can be used to produce new graphs of a specified size in experiments on large realworld graphs we show that graphs generated from the hrg approach exhibit a diverse range of properties that are similar to those found in the original networks in addition to graph properties like degree or eigenvector centrality what a graph looks like ultimately depends on small details in local graph substructures that are difficult to define at a global level we show that the hrg model can also preserve these local substructures when generating new graphs
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1,802.08069
Quasi-two-dimensional thermoelectricity in SnSe
Stannous selenide is a layered semiconductor that is a polar analogue of black phosphorus, and of great interest as a thermoelectric material. Unusually, hole doped SnSe supports a large Seebeck coefficient at high conductivity, which has not been explained to date. Angle resolved photo-emission spectroscopy, optical reflection spectroscopy and magnetotransport measurements reveal a multiple-valley valence band structure and a quasi two-dimensional dispersion, realizing a Hicks-Dresselhaus thermoelectric contributing to the high Seebeck coefficient at high carrier density. We further demonstrate that the hole accumulation layer in exfoliated SnSe transistors exhibits a field effect mobility of up to $250~\mathrm{cm^2/Vs}$ at $T=1.3~\mathrm{K}$. SnSe is thus found to be a high quality, quasi two-dimensional semiconductor ideal for thermoelectric applications.
cond-mat.mtrl-sci cond-mat.mes-hall
stannous selenide is a layered semiconductor that is a polar analogue of black phosphorus and of great interest as a thermoelectric material unusually hole doped snse supports a large seebeck coefficient at high conductivity which has not been explained to date angle resolved photoemission spectroscopy optical reflection spectroscopy and magnetotransport measurements reveal a multiplevalley valence band structure and a quasi twodimensional dispersion realizing a hicksdresselhaus thermoelectric contributing to the high seebeck coefficient at high carrier density we further demonstrate that the hole accumulation layer in exfoliated snse transistors exhibits a field effect mobility of up to 250mathrmcm2vs at t13mathrmk snse is thus found to be a high quality quasi twodimensional semiconductor ideal for thermoelectric applications
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1,802.0807
A New Foundation for Finitary Corecursion and Iterative Algebras
This paper contributes to a theory of the behaviour of "finite-state" systems that is generic in the system type. We propose that such systems are modelled as coalgebras with a finitely generated carrier for an endofunctor on a locally finitely presentable category. Their behaviour gives rise to a new fixpoint of the coalgebraic type functor called locally finite fixpoint (LFF). We prove that if the given endofunctor is finitary and preserves monomorphisms then the LFF always exists and is a subcoalgebra of the final coalgebra (unlike the rational fixpoint previously studied by Ad\'amek, Milius, and Velebil). Moreover, we show that the LFF is characterized by two universal properties: (1) as the final locally finitely generated coalgebra, and (2) as the initial fg-iterative algebra. As instances of the LFF we first obtain the known instances of the rational fixpoint, e.g. regular languages, rational streams and formal power-series, regular trees etc. Moreover, we obtain a number of new examples, e.g. (realtime deterministic resp. non-deterministic) context-free languages, constructively S-algebraic formal power-series (in general, the behaviour of finite coalgebras under the coalgebraic language semantics arising from the generalized powerset construction by Silva, Bonchi, Bonsangue, and Rutten), and the monad of Courcelle's algebraic trees.
cs.LO
this paper contributes to a theory of the behaviour of finitestate systems that is generic in the system type we propose that such systems are modelled as coalgebras with a finitely generated carrier for an endofunctor on a locally finitely presentable category their behaviour gives rise to a new fixpoint of the coalgebraic type functor called locally finite fixpoint lff we prove that if the given endofunctor is finitary and preserves monomorphisms then the lff always exists and is a subcoalgebra of the final coalgebra unlike the rational fixpoint previously studied by adamek milius and velebil moreover we show that the lff is characterized by two universal properties 1 as the final locally finitely generated coalgebra and 2 as the initial fgiterative algebra as instances of the lff we first obtain the known instances of the rational fixpoint eg regular languages rational streams and formal powerseries regular trees etc moreover we obtain a number of new examples eg realtime deterministic resp nondeterministic contextfree languages constructively salgebraic formal powerseries in general the behaviour of finite coalgebras under the coalgebraic language semantics arising from the generalized powerset construction by silva bonchi bonsangue and rutten and the monad of courcelles algebraic trees
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1,802.08071
What happens if measure the electron spin twice?
The mainstream textbooks of quantum mechanics explains the quantum state collapses into an eigenstate in the measurement, while other explanations such as hidden variables and multi-universe deny the collapsing. Here we propose an ideal thinking experiment on measuring the spin of an electron with 3 steps. It is simple and straightforward, in short, to measure a spin-up electron in x-axis, and then in z-axis. Whether there is a collapsing predicts different results of the experiment. The future realistic experiment will show the quantum state collapses or not in the measurement.
physics.gen-ph quant-ph
the mainstream textbooks of quantum mechanics explains the quantum state collapses into an eigenstate in the measurement while other explanations such as hidden variables and multiuniverse deny the collapsing here we propose an ideal thinking experiment on measuring the spin of an electron with 3 steps it is simple and straightforward in short to measure a spinup electron in xaxis and then in zaxis whether there is a collapsing predicts different results of the experiment the future realistic experiment will show the quantum state collapses or not in the measurement
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1,802.08072
The fallacy of Schott energy-momentum
The incompatibility between Larmor's formula for radiation losses (at a rate proportional to square of the acceleration of the electric charge) and the radiation reaction (the rate of loss of momentum of the accelerated charge proportional to its rate of change of acceleration) was recently shown to arise because a proper distinction is not kept between radiation losses calculated in terms of a retarded time and those expressed in terms of a "real time". However, the occurrence of this disparity between two formulations is usually reconciled in literature by proposing an acceleration-dependent Schott energy lying somewhere in the nearby electromagnetic fields of an accelerated charge. But nobody has yet unambiguously demonstrated where the Schott energy actually lies in the fields. By scrutinizing electromagnetic fields of a uniformly accelerated charge, a mathematically tractable case, we show that contrary to the ideas prevalent in the literature, there is no evidence of any acceleration-dependent Schott energy-momentum in the electromagnetic fields, anywhere in the near vicinity of the charge or elsewhere. Accordingly, we expose the fallacy of the Schott energy-momentum term, which should henceforth be abandoned, in the electromagnetic radiation formulation.
physics.gen-ph
the incompatibility between larmors formula for radiation losses at a rate proportional to square of the acceleration of the electric charge and the radiation reaction the rate of loss of momentum of the accelerated charge proportional to its rate of change of acceleration was recently shown to arise because a proper distinction is not kept between radiation losses calculated in terms of a retarded time and those expressed in terms of a real time however the occurrence of this disparity between two formulations is usually reconciled in literature by proposing an accelerationdependent schott energy lying somewhere in the nearby electromagnetic fields of an accelerated charge but nobody has yet unambiguously demonstrated where the schott energy actually lies in the fields by scrutinizing electromagnetic fields of a uniformly accelerated charge a mathematically tractable case we show that contrary to the ideas prevalent in the literature there is no evidence of any accelerationdependent schott energymomentum in the electromagnetic fields anywhere in the near vicinity of the charge or elsewhere accordingly we expose the fallacy of the schott energymomentum term which should henceforth be abandoned in the electromagnetic radiation formulation
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1,802.08073
The State-of-Play of Anomalous Microwave Emission (AME) Research
Anomalous Microwave Emission (AME) is a component of diffuse Galactic radiation observed at frequencies in the range $\approx 10$-60 GHz. AME was first detected in 1996 and recognised as an additional component of emission in 1997. Since then, AME has been observed by a range of experiments and in a variety of environments. AME is spatially correlated with far-IR thermal dust emission but cannot be explained by synchrotron or free-free emission mechanisms, and is far in excess of the emission contributed by thermal dust emission with the power-law opacity consistent with the observed emission at sub-mm wavelengths. Polarization observations have shown that AME is very weakly polarized ($\lesssim 1$%). The most natural explanation for AME is rotational emission from ultra-small dust grains ("spinning dust"), first postulated in 1957. Magnetic dipole radiation from thermal fluctuations in the magnetization of magnetic grain materials may also be contributing to the AME, particularly at higher frequencies ($\gtrsim 50$ GHz). AME is also an important foreground for Cosmic Microwave Background analyses. This paper presents a review and the current state-of-play in AME research, which was discussed in an AME workshop held at ESTEC, The Netherlands, June 2016.
astro-ph.GA
anomalous microwave emission ame is a component of diffuse galactic radiation observed at frequencies in the range approx 1060 ghz ame was first detected in 1996 and recognised as an additional component of emission in 1997 since then ame has been observed by a range of experiments and in a variety of environments ame is spatially correlated with farir thermal dust emission but cannot be explained by synchrotron or freefree emission mechanisms and is far in excess of the emission contributed by thermal dust emission with the powerlaw opacity consistent with the observed emission at submm wavelengths polarization observations have shown that ame is very weakly polarized lesssim 1 the most natural explanation for ame is rotational emission from ultrasmall dust grains spinning dust first postulated in 1957 magnetic dipole radiation from thermal fluctuations in the magnetization of magnetic grain materials may also be contributing to the ame particularly at higher frequencies gtrsim 50 ghz ame is also an important foreground for cosmic microwave background analyses this paper presents a review and the current stateofplay in ame research which was discussed in an ame workshop held at estec the netherlands june 2016
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1,802.08074
A non-local linear dynamical system and violation of Bell's inequality
A simple classical non-local dynamical system with random initial conditions and an output projecting the state variable on selected axes has been defined to mimic a two-channel quantum coincidence experiment. Non-locality is introduced by a parameter connecting the initial conditions to the selection of the projection axes. The statistics of the results shows violations up to 100% of the Bell's inequality, in the form of Clauser-Horne- Shimony-Holt (CHSH), strongly depending on the non-locality parameter. Discussions on the parallelism with Bohmian mechanics are given.
physics.gen-ph quant-ph
a simple classical nonlocal dynamical system with random initial conditions and an output projecting the state variable on selected axes has been defined to mimic a twochannel quantum coincidence experiment nonlocality is introduced by a parameter connecting the initial conditions to the selection of the projection axes the statistics of the results shows violations up to 100 of the bells inequality in the form of clauserhorne shimonyholt chsh strongly depending on the nonlocality parameter discussions on the parallelism with bohmian mechanics are given
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1,802.08075
Octonions, triality, the exceptional Lie algebra F4, and polar actions on the Cayley hyperbolic plane
Using octonions and the triality property of Spin(8), we find explicit formulae for the Lie brackets of the exceptional simple real Lie algebras $\mathfrak{f}_4$ and $\mathfrak{f}^*_4$, i.e. the Lie algebras of the isometry groups of the Cayley projective plane and the Cayley hyperbolic plane. As an application, we classify polar actions on the Cayley hyperbolic plane which leave a totally geodesic subspace invariant.
math.DG math.RA
using octonions and the triality property of spin8 we find explicit formulae for the lie brackets of the exceptional simple real lie algebras mathfrakf_4 and mathfrakf_4 ie the lie algebras of the isometry groups of the cayley projective plane and the cayley hyperbolic plane as an application we classify polar actions on the cayley hyperbolic plane which leave a totally geodesic subspace invariant
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1,802.08076
Expansion Trees with Cut
Herbrand's theorem is one of the most fundamental insights in logic. From the syntactic point of view, it suggests a compact representation of proofs in classical first- and higher-order logic by recording the information of which instances have been chosen for which quantifiers. This compact representation is known in the literature as Miller's expansion tree proof. It is inherently analytic and hence corresponds to a cut-free sequent calculus proof. Recently several extensions of such proof representations to proofs with cuts have been proposed. These extensions are based on graphical formalisms similar to proof nets and are limited to prenex formulas. In this paper we present a new syntactic approach that directly extends Miller's expansion trees by cuts and covers also non-prenex formulas. We describe a cut-elimination procedure for our expansion trees with cut that is based on the natural reduction steps and show that it is weakly normalizing.
math.LO
herbrands theorem is one of the most fundamental insights in logic from the syntactic point of view it suggests a compact representation of proofs in classical first and higherorder logic by recording the information of which instances have been chosen for which quantifiers this compact representation is known in the literature as millers expansion tree proof it is inherently analytic and hence corresponds to a cutfree sequent calculus proof recently several extensions of such proof representations to proofs with cuts have been proposed these extensions are based on graphical formalisms similar to proof nets and are limited to prenex formulas in this paper we present a new syntactic approach that directly extends millers expansion trees by cuts and covers also nonprenex formulas we describe a cutelimination procedure for our expansion trees with cut that is based on the natural reduction steps and show that it is weakly normalizing
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1,802.08077
Discriminative Label Consistent Domain Adaptation
Domain adaptation (DA) is transfer learning which aims to learn an effective predictor on target data from source data despite data distribution mismatch between source and target. We present in this paper a novel unsupervised DA method for cross-domain visual recognition which simultaneously optimizes the three terms of a theoretically established error bound. Specifically, the proposed DA method iteratively searches a latent shared feature subspace where not only the divergence of data distributions between the source domain and the target domain is decreased as most state-of-the-art DA methods do, but also the inter-class distances are increased to facilitate discriminative learning. Moreover, the proposed DA method sparsely regresses class labels from the features achieved in the shared subspace while minimizing the prediction errors on the source data and ensuring label consistency between source and target. Data outliers are also accounted for to further avoid negative knowledge transfer. Comprehensive experiments and in-depth analysis verify the effectiveness of the proposed DA method which consistently outperforms the state-of-the-art DA methods on standard DA benchmarks, i.e., 12 cross-domain image classification tasks.
cs.CV
domain adaptation da is transfer learning which aims to learn an effective predictor on target data from source data despite data distribution mismatch between source and target we present in this paper a novel unsupervised da method for crossdomain visual recognition which simultaneously optimizes the three terms of a theoretically established error bound specifically the proposed da method iteratively searches a latent shared feature subspace where not only the divergence of data distributions between the source domain and the target domain is decreased as most stateoftheart da methods do but also the interclass distances are increased to facilitate discriminative learning moreover the proposed da method sparsely regresses class labels from the features achieved in the shared subspace while minimizing the prediction errors on the source data and ensuring label consistency between source and target data outliers are also accounted for to further avoid negative knowledge transfer comprehensive experiments and indepth analysis verify the effectiveness of the proposed da method which consistently outperforms the stateoftheart da methods on standard da benchmarks ie 12 crossdomain image classification tasks
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1,802.08078
Distributions of countable models of quite o-minimal Ehrenfeucht theories
We describe Rudin-Keisler preorders and distribution functions of numbers of limit models for quite o-minimal Ehrenfeucht theories. Decomposition formulas for these distributions are found.
math.LO
we describe rudinkeisler preorders and distribution functions of numbers of limit models for quite ominimal ehrenfeucht theories decomposition formulas for these distributions are found
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1,802.08079
Frame-dragging effect in the field of non rotating body due to unit gravimagnetic moment
Nonminimal spin-gravity interaction through unit gravimagnetic moment leads to modified Mathisson-Papapetrou-Tulczyjew-Dixon equations with improved behavior in the ultrarelativistic limit. We present exact Hamiltonian of the resulting theory and compute an effective $\frac{1}{c^2}$\,-Hamiltonian and leading post-Newtonian corrections to the trajectory and spin. Gravimagnetic moment causes the same precession of spin ${\bf S}$ as a fictitious rotation of the central body with angular momentum ${\bf J}=\frac{M}{m}{\bf S}$. So the modified equations imply a number of qualitatively new effects, that could be used to test experimentally, whether a rotating body in general relativity has null or unit gravimagnetic moment.
gr-qc hep-th
nonminimal spingravity interaction through unit gravimagnetic moment leads to modified mathissonpapapetroutulczyjewdixon equations with improved behavior in the ultrarelativistic limit we present exact hamiltonian of the resulting theory and compute an effective frac1c2hamiltonian and leading postnewtonian corrections to the trajectory and spin gravimagnetic moment causes the same precession of spin bf s as a fictitious rotation of the central body with angular momentum bf jfracmmbf s so the modified equations imply a number of qualitatively new effects that could be used to test experimentally whether a rotating body in general relativity has null or unit gravimagnetic moment
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1,802.0808
Classification of Breast Cancer Histology using Deep Learning
Breast Cancer is a major cause of death worldwide among women. Hematoxylin and Eosin (H&E) stained breast tissue samples from biopsies are observed under microscopes for the primary diagnosis of breast cancer. In this paper, we propose a deep learning-based method for classification of H&E stained breast tissue images released for BACH challenge 2018 by fine-tuning Inception-v3 convolutional neural network (CNN) proposed by Szegedy et al. These images are to be classified into four classes namely, i) normal tissue, ii) benign tumor, iii) in-situ carcinoma and iv) invasive carcinoma. Our strategy is to extract patches based on nuclei density instead of random or grid sampling, along with rejection of patches that are not rich in nuclei (non-epithelial) regions for training and testing. Every patch (nuclei-dense region) in an image is classified in one of the four above mentioned categories. The class of the entire image is determined using majority voting over the nuclear classes. We obtained an average four class accuracy of 85% and an average two class (non-cancer vs. carcinoma) accuracy of 93%, which improves upon a previous benchmark by Araujo et al.
cs.CV
breast cancer is a major cause of death worldwide among women hematoxylin and eosin he stained breast tissue samples from biopsies are observed under microscopes for the primary diagnosis of breast cancer in this paper we propose a deep learningbased method for classification of he stained breast tissue images released for bach challenge 2018 by finetuning inceptionv3 convolutional neural network cnn proposed by szegedy et al these images are to be classified into four classes namely i normal tissue ii benign tumor iii insitu carcinoma and iv invasive carcinoma our strategy is to extract patches based on nuclei density instead of random or grid sampling along with rejection of patches that are not rich in nuclei nonepithelial regions for training and testing every patch nucleidense region in an image is classified in one of the four above mentioned categories the class of the entire image is determined using majority voting over the nuclear classes we obtained an average four class accuracy of 85 and an average two class noncancer vs carcinoma accuracy of 93 which improves upon a previous benchmark by araujo et al
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1,802.08081
Statistics of finite scale local Lyapunov exponents in fully developed homogeneous isotropic turbulence
The present work analyzes the statistics of finite scale local Lyapunov exponents of pairs of fluid particles trajectories in fully developed incompressible homogeneous isotropic turbulence. According to the hypothesis of fully developed chaos, this statistics is here analyzed assuming that the entropy associated to the fluid kinematic state is maximum. The distribution of the local Lyapunov exponents results to be an unsymmetrical uniform function in a proper interval of variation. From this PDF, we determine the relationship between average and maximum Lyapunov exponents, and the longitudinal velocity correlation function. This link, which in turn leads to the closure of von K\`arm\`an-Howarth and Corrsin equations, agrees with results of previous works, supporting the proposed PDF calculation, at least for the purposes of the energy cascade main effect estimation. Furthermore, through the property that the Lyapunov vectors tend to align the direction of the maximum growth rate of trajectories distance, we obtain the link between maximum and average Lyapunov exponents in line with the previous results. To validate the proposed theoretical results, we present different numerical simulations whose results justify the hypotheses of the present analysis.
physics.flu-dyn physics.class-ph
the present work analyzes the statistics of finite scale local lyapunov exponents of pairs of fluid particles trajectories in fully developed incompressible homogeneous isotropic turbulence according to the hypothesis of fully developed chaos this statistics is here analyzed assuming that the entropy associated to the fluid kinematic state is maximum the distribution of the local lyapunov exponents results to be an unsymmetrical uniform function in a proper interval of variation from this pdf we determine the relationship between average and maximum lyapunov exponents and the longitudinal velocity correlation function this link which in turn leads to the closure of von karmanhowarth and corrsin equations agrees with results of previous works supporting the proposed pdf calculation at least for the purposes of the energy cascade main effect estimation furthermore through the property that the lyapunov vectors tend to align the direction of the maximum growth rate of trajectories distance we obtain the link between maximum and average lyapunov exponents in line with the previous results to validate the proposed theoretical results we present different numerical simulations whose results justify the hypotheses of the present analysis
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1,802.08082
A gradient flow approach to relaxation rates for the multi-dimensional Cahn-Hilliard equation
The aim of this paper is to study relaxation rates for the Cahn-Hilliard equation in dimension larger than one. We follow the approach of Otto and Westdickenberg based on the gradient flow structure of the equation and establish differential and algebraic relationships between the energy, the dissipation, and the squared $H^{--1}$ distance to a kink. This leads to a scale separation of the dynamics into two different stages: a first fast phase of the order $t^{ -- 1/2}$ where one sees convergence to some kink, followed by a slow relaxation phase with rate $t^{-- 1/ 4}$ where convergence to the centered kink is observed.
math.AP
the aim of this paper is to study relaxation rates for the cahnhilliard equation in dimension larger than one we follow the approach of otto and westdickenberg based on the gradient flow structure of the equation and establish differential and algebraic relationships between the energy the dissipation and the squared h1 distance to a kink this leads to a scale separation of the dynamics into two different stages a first fast phase of the order t 12 where one sees convergence to some kink followed by a slow relaxation phase with rate t 1 4 where convergence to the centered kink is observed
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1,802.08083
Applications of Optimal Control of a Nonconvex Sweeping Process to Optimization of the Planar Crowd Motion Model
This paper concerns optimal control of a nonconvex perturbed sweeping process and its applications to optimization of the planar crowd motion model of traffic equilibria. The obtained theoretical results allow us to investigate a dynamic optimization problem for the microscopic planar crown motion model with finitely many participants and completely solve it analytically in the case of two participants.
math.OC
this paper concerns optimal control of a nonconvex perturbed sweeping process and its applications to optimization of the planar crowd motion model of traffic equilibria the obtained theoretical results allow us to investigate a dynamic optimization problem for the microscopic planar crown motion model with finitely many participants and completely solve it analytically in the case of two participants
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1,802.08084
Jarzynski Equality and its Special Trajectory Ensemble Average Demystified
The special trajectory ensemble average (TEA), denoted by a subscript 0, in the Jarzynski Equality (JE) results in the Jensen inequality <R>_0 GT-EQ delta(F) for the work R done on the system, and not the thermodynamic work inequality <R> GT-EQ delta(F) since we find <R> NEQ <R>_0. Therefore, contrary to the common belief, the Jensen inequality does not directly support the JE as a nonequilibrium result. Jarzynski's microscopic treatment of the inclusive energy considers only the external work d_eE_k but neglects the ubiquitous change d_iE_k due to external-internal force imbalance, though d_iE_k's are present even in a reversible process as we show. Because of this neglect, no thermodynamic force necessary for dissipation is allowed. Thus the JE has no built-in irreversibility, despite a time-dependent work protocol. We support our claim by an explicit calculation, which shows that <R>_0 > delta(F) even for a reversible process for which <R> = delta(F). This also confirms that <R> and <R>_0 are different averages.
cond-mat.stat-mech
the special trajectory ensemble average tea denoted by a subscript 0 in the jarzynski equality je results in the jensen inequality r_0 gteq deltaf for the work r done on the system and not the thermodynamic work inequality r gteq deltaf since we find r neq r_0 therefore contrary to the common belief the jensen inequality does not directly support the je as a nonequilibrium result jarzynskis microscopic treatment of the inclusive energy considers only the external work d_ee_k but neglects the ubiquitous change d_ie_k due to externalinternal force imbalance though d_ie_ks are present even in a reversible process as we show because of this neglect no thermodynamic force necessary for dissipation is allowed thus the je has no builtin irreversibility despite a timedependent work protocol we support our claim by an explicit calculation which shows that r_0 deltaf even for a reversible process for which r deltaf this also confirms that r and r_0 are different averages
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1,802.08085
Precursors of gate oxide degradation in SiC power MOSFETs
Gate oxide degradation is more critical in Silicon-Carbide (SiC) MOSFETs than in Silicon (Si) MOSFETs. This is because of the smaller gate oxide thickness and the higher electric field that develops across the gate oxide in SiC MOSFETs. While multiple precursors have been identified for monitoring the gate oxide degradation in Si MOSFETs, very few precursors have been identified for SiC MOSFETs. The purpose of this paper is to demonstrate that gate oxide degradation precursors used in Si MOSFETs: a) threshold voltage, b) gate plateau voltage and c) gate plateau time, can also be used as precursors for SiC MOSFETS. Moreover, all three precursors are found to exhibit a simultaneous increasing trend (during the stress time) leading to an increase in on-state loss, switching loss and switching time of the SiC MOSFET. The existing studies of gate oxide degradation mechanisms in SiC MOSFETs, and their effects on threshold voltage and mobility were extended to correlate a variation of all three precursors using analytical expressions. The increasing trends of precursors were experimentally confirmed by inducing gate oxide degradation in commercial SiC MOSFET samples.
physics.gen-ph
gate oxide degradation is more critical in siliconcarbide sic mosfets than in silicon si mosfets this is because of the smaller gate oxide thickness and the higher electric field that develops across the gate oxide in sic mosfets while multiple precursors have been identified for monitoring the gate oxide degradation in si mosfets very few precursors have been identified for sic mosfets the purpose of this paper is to demonstrate that gate oxide degradation precursors used in si mosfets a threshold voltage b gate plateau voltage and c gate plateau time can also be used as precursors for sic mosfets moreover all three precursors are found to exhibit a simultaneous increasing trend during the stress time leading to an increase in onstate loss switching loss and switching time of the sic mosfet the existing studies of gate oxide degradation mechanisms in sic mosfets and their effects on threshold voltage and mobility were extended to correlate a variation of all three precursors using analytical expressions the increasing trends of precursors were experimentally confirmed by inducing gate oxide degradation in commercial sic mosfet samples
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1,802.08086
Neural Gas based classification of Globular Clusters
Within scientific and real life problems, classification is a typical case of extremely complex tasks in data-driven scenarios, especially if approached with traditional techniques. Machine Learning supervised and unsupervised paradigms, providing self-adaptive and semi-automatic methods, are able to navigate into large volumes of data characterized by a multi-dimensional parameter space, thus representing an ideal method to disentangle classes of objects in a reliable and efficient way. In Astrophysics, the identification of candidate Globular Clusters through deep, wide-field, single band images, is one of such cases where self-adaptive methods demonstrated a high performance and reliability. Here we experimented some variants of the known Neural Gas model, exploring both supervised and unsupervised paradigms of Machine Learning for the classification of Globular Clusters. Main scope of this work was to verify the possibility to improve the computational efficiency of the methods to solve complex data-driven problems, by exploiting the parallel programming with GPU framework. By using the astrophysical playground, the goal was to scientifically validate such kind of models for further applications extended to other contexts.
astro-ph.IM
within scientific and real life problems classification is a typical case of extremely complex tasks in datadriven scenarios especially if approached with traditional techniques machine learning supervised and unsupervised paradigms providing selfadaptive and semiautomatic methods are able to navigate into large volumes of data characterized by a multidimensional parameter space thus representing an ideal method to disentangle classes of objects in a reliable and efficient way in astrophysics the identification of candidate globular clusters through deep widefield single band images is one of such cases where selfadaptive methods demonstrated a high performance and reliability here we experimented some variants of the known neural gas model exploring both supervised and unsupervised paradigms of machine learning for the classification of globular clusters main scope of this work was to verify the possibility to improve the computational efficiency of the methods to solve complex datadriven problems by exploiting the parallel programming with gpu framework by using the astrophysical playground the goal was to scientifically validate such kind of models for further applications extended to other contexts
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1,802.08087
On Quantum Cosmology in Teleparallel Gravity
A quantum cosmology in teleparallel gravity is presented in this article. Teleparallel gravity is used to perform such an analysis once in General Relativity (GR) the concept of gravitational energy is misleading preventing the establishment of a concise quantum cosmology. The Wheeler-DeWitt like equation is obtained using the Weyl quantization and the teleparallel expression of energy.
gr-qc
a quantum cosmology in teleparallel gravity is presented in this article teleparallel gravity is used to perform such an analysis once in general relativity gr the concept of gravitational energy is misleading preventing the establishment of a concise quantum cosmology the wheelerdewitt like equation is obtained using the weyl quantization and the teleparallel expression of energy
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1,802.08088
On relative separability in hypergraphs of models of theories
In the paper, notions of relative separability for hypergraphs of models of a theory are defined. Properties of these notions and applications to ordered theories are studied: characterizations of relative separability both in a general case and for almost countably categorical quite o-minimal theories are established.
math.LO
in the paper notions of relative separability for hypergraphs of models of a theory are defined properties of these notions and applications to ordered theories are studied characterizations of relative separability both in a general case and for almost countably categorical quite ominimal theories are established
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1,802.08089
Sampling as optimization in the space of measures: The Langevin dynamics as a composite optimization problem
We study sampling as optimization in the space of measures. We focus on gradient flow-based optimization with the Langevin dynamics as a case study. We investigate the source of the bias of the unadjusted Langevin algorithm (ULA) in discrete time, and consider how to remove or reduce the bias. We point out the difficulty is that the heat flow is exactly solvable, but neither its forward nor backward method is implementable in general, except for Gaussian data. We propose the symmetrized Langevin algorithm (SLA), which should have a smaller bias than ULA, at the price of implementing a proximal gradient step in space. We show SLA is in fact consistent for Gaussian target measure, whereas ULA is not. We also illustrate various algorithms explicitly for Gaussian target measure, including gradient descent, proximal gradient, and Forward-Backward, and show they are all consistent.
math.OC cs.IT cs.LG math.IT stat.ML
we study sampling as optimization in the space of measures we focus on gradient flowbased optimization with the langevin dynamics as a case study we investigate the source of the bias of the unadjusted langevin algorithm ula in discrete time and consider how to remove or reduce the bias we point out the difficulty is that the heat flow is exactly solvable but neither its forward nor backward method is implementable in general except for gaussian data we propose the symmetrized langevin algorithm sla which should have a smaller bias than ula at the price of implementing a proximal gradient step in space we show sla is in fact consistent for gaussian target measure whereas ula is not we also illustrate various algorithms explicitly for gaussian target measure including gradient descent proximal gradient and forwardbackward and show they are all consistent
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1,802.0809
Fano threefolds as equivariant compactifications of the vector group
In this article, we determine all equivariant compactifications of the three-dimensional vector group $\mathbf{G}_a^3$ which are smooth Fano threefolds with Picard number greater or equal than two.
math.AG math.NT
in this article we determine all equivariant compactifications of the threedimensional vector group mathbfg_a3 which are smooth fano threefolds with picard number greater or equal than two
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1,802.08091
Deep Online Video Stabilization
Video stabilization technique is essential for most hand-held captured videos due to high-frequency shakes. Several 2D-, 2.5D- and 3D-based stabilization techniques are well studied, but to our knowledge, no solutions based on deep neural networks had been proposed. The reason for this is mostly the shortage of training data, as well as the challenge of modeling the problem using neural networks. In this paper, we solve the video stabilization problem using a convolutional neural network (ConvNet). Instead of dealing with offline holistic camera path smoothing based on feature matching, we focus on low-latency real-time camera path smoothing without explicitly representing the camera path. Our network, called StabNet, learns a transformation for each input unsteady frame progressively along the time-line, while creating a more stable latent camera path. To train the network, we create a dataset of synchronized steady/unsteady video pairs via a well designed hand-held hardware. Experimental results shows that the proposed online method (without using future frames) performs comparatively to traditional offline video stabilization methods, while running about 30 times faster. Further, the proposed StabNet is able to handle night-time and blurry videos, where existing methods fail in robust feature matching.
cs.GR
video stabilization technique is essential for most handheld captured videos due to highfrequency shakes several 2d 25d and 3dbased stabilization techniques are well studied but to our knowledge no solutions based on deep neural networks had been proposed the reason for this is mostly the shortage of training data as well as the challenge of modeling the problem using neural networks in this paper we solve the video stabilization problem using a convolutional neural network convnet instead of dealing with offline holistic camera path smoothing based on feature matching we focus on lowlatency realtime camera path smoothing without explicitly representing the camera path our network called stabnet learns a transformation for each input unsteady frame progressively along the timeline while creating a more stable latent camera path to train the network we create a dataset of synchronized steadyunsteady video pairs via a well designed handheld hardware experimental results shows that the proposed online method without using future frames performs comparatively to traditional offline video stabilization methods while running about 30 times faster further the proposed stabnet is able to handle nighttime and blurry videos where existing methods fail in robust feature matching
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1,802.08092
On structures in hypergraphs of models of a theory
We define and study structural properties of hypergraphs of models of a theory including lattice ones. Characterizations for the lattice properties of hypergraphs of models of a theory, as well as for structures on sets of isomorphism types of models of a theory, are given.
math.LO
we define and study structural properties of hypergraphs of models of a theory including lattice ones characterizations for the lattice properties of hypergraphs of models of a theory as well as for structures on sets of isomorphism types of models of a theory are given
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1,802.08093
SO(p,q)-Higgs bundles and higher Teichm\"uller components
Some connected components of a moduli space are mundane in the sense that they are distinguished only by obvious topological invariants or have no special characteristics. Others are more alluring and unusual either because they are not detected by primary invariants, or because they have special geometric significance, or both. In this paper we describe new examples of such `exotic' components in moduli spaces of SO(p,q)-Higgs bundles on closed Riemann surfaces or, equivalently, moduli spaces of surface group representations into the Lie group SO(p,q). Furthermore, we discuss how these exotic components are related to the notion of positive Anosov representations recently developed by Guichard and Wienhard. We also provide a complete count of the connected components of these moduli spaces (except for SO(2,q), with q> 3).
math.AG math.DG math.GT
some connected components of a moduli space are mundane in the sense that they are distinguished only by obvious topological invariants or have no special characteristics others are more alluring and unusual either because they are not detected by primary invariants or because they have special geometric significance or both in this paper we describe new examples of such exotic components in moduli spaces of sopqhiggs bundles on closed riemann surfaces or equivalently moduli spaces of surface group representations into the lie group sopq furthermore we discuss how these exotic components are related to the notion of positive anosov representations recently developed by guichard and wienhard we also provide a complete count of the connected components of these moduli spaces except for so2q with q 3
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1,802.08094
On freedom and independence in hypergraphs of models of theories
Notions of freedom and independence for hypergraphs of models of a theory are defined. Properties of these notions and their applications to some natural classes of theories are studied.
math.LO
notions of freedom and independence for hypergraphs of models of a theory are defined properties of these notions and their applications to some natural classes of theories are studied
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1,802.08095
Mapping Borel sets onto balls and self-similar sets by Lipschitz and nearly Lipschitz maps
If $X$ is an analytic metric space satisfying a very mild doubling condition, then for any finite Borel measure $\mu$ on $X$ there is a set $N\subseteq X$ such that $\mu(N)>0$, an ultrametric space $Z$ and a Lipschitz bijection $\phi:N\to Z$ whose inverse is nearly Lipschitz, i.e., $\beta$-H\"older for all $\beta<1$. As an application it is shown that a Borel set in a Euclidean space maps onto $[0,1]^n$ by a nearly Lipschitz map if and only if it cannot be covered by countably many sets of Hausdorff dimension strictly below $n$. The argument extends to analytic metric spaces satisfying the mild condition. Further generalization replaces cubes with self-similar sets, nearly Lipschitz maps with nearly H\"older maps and integer dimension with arbitrary finite dimension.
math.CA
if x is an analytic metric space satisfying a very mild doubling condition then for any finite borel measure mu on x there is a set nsubseteq x such that mun0 an ultrametric space z and a lipschitz bijection phinto z whose inverse is nearly lipschitz ie betaholder for all beta1 as an application it is shown that a borel set in a euclidean space maps onto 01n by a nearly lipschitz map if and only if it cannot be covered by countably many sets of hausdorff dimension strictly below n the argument extends to analytic metric spaces satisfying the mild condition further generalization replaces cubes with selfsimilar sets nearly lipschitz maps with nearly holder maps and integer dimension with arbitrary finite dimension
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1,802.08096
Anomaly inflow on QCD axial domain-walls and vortices
We study the chiral effective theory in the presence of QCD vortices. Gauge invariance requires novel terms from vortex singularities in the gauged Wess-Zumino-Witten action, which incorporate anomaly induced currents along the vortices. We examine these terms for systems with QCD axial domain-walls bounded by vortices (vortons) under magnetic fields. We discuss how the baryon and the electric charge conservations are satisfied in these systems through interplay between domain-walls and vortices, which manifests Callan-Harvey's mechanism of the anomaly inflow.
hep-ph hep-th
we study the chiral effective theory in the presence of qcd vortices gauge invariance requires novel terms from vortex singularities in the gauged wesszuminowitten action which incorporate anomaly induced currents along the vortices we examine these terms for systems with qcd axial domainwalls bounded by vortices vortons under magnetic fields we discuss how the baryon and the electric charge conservations are satisfied in these systems through interplay between domainwalls and vortices which manifests callanharveys mechanism of the anomaly inflow
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1,802.08097
On residual categories for Grassmannians
We define and discuss some general properties of residual categories of Lefschetz decompositions in triangulated categories. In the case of the derived category of coherent sheaves on the Grassmannian $\text{G}(k,n)$ we conjecture that the residual category associated with Fonarev's Lefschetz exceptional collection is generated by a completely orthogonal exceptional collection. We prove this conjecture for $k = p$, a prime number, modulo completeness of Fonarev's collection (and for $p = 3$ we check this completeness).
math.AG
we define and discuss some general properties of residual categories of lefschetz decompositions in triangulated categories in the case of the derived category of coherent sheaves on the grassmannian textgkn we conjecture that the residual category associated with fonarevs lefschetz exceptional collection is generated by a completely orthogonal exceptional collection we prove this conjecture for k p a prime number modulo completeness of fonarevs collection and for p 3 we check this completeness
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1,802.08098
Bloch functions on the unit ball of a Banach space
The space of Bloch functions on bounded symmetric domains is extended by considering Bloch functions $f$ on the unit ball $B_E$ of finite and infinite dimensional complex Banach spaces in two different ways: by extending the classical Bloch space considering the boundness of $(1-\|x\|^2) \|f'(x)\|$ on $B_E$ and by preserving the invariance of the correspondiing seminorm when we compose with automorphisms $\phi$ of $B_E$. We study the connection between these spaces proving that they are different in general and prove that all bounded analytic functions on $B_{E}$ are Bloch functions in both ways.
math.FA
the space of bloch functions on bounded symmetric domains is extended by considering bloch functions f on the unit ball b_e of finite and infinite dimensional complex banach spaces in two different ways by extending the classical bloch space considering the boundness of 1x2 fx on b_e and by preserving the invariance of the correspondiing seminorm when we compose with automorphisms phi of b_e we study the connection between these spaces proving that they are different in general and prove that all bounded analytic functions on b_e are bloch functions in both ways
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1,802.08099
Zak phase and band inversion in dimerized one-dimensional locally resonant metamaterials
Zak phase, which refers to the Berry's phase picked up by a particle moving across the Brillouin zone, characterizes the topological properties of Bloch bands in one-dimensional periodic system. Here the Zak phase in dimerized one-dimensional locally resonant metamaterials is investigated. It is found that there are some singular points in the bulk band across which the Bloch states contribute {\pi} to the Zak phase, whereas while in the rest of the band the contribution is nearly zero. These singular points associated with zero reflection are caused by two different mechanisms: the dimerization-independent anti-resonating of each branch, and the dimerization-dependent destructive interference in multiple backscattering. The structure undergoes a topological transition point in the band structure where the band inverts and the Zak phase, which is determined by the numbers of singular points in the bulk band, changes following a shift in dimerization parameter. Finally, the interface state between two dimerized metamaterial structures with different topological property in the first band gap is demonstrated experimentally. The quasi-one-dimensional configuration of the system allows one to explore topology-inspired new methods and applications in the sub-wavelength scale.
cond-mat.mes-hall physics.app-ph
zak phase which refers to the berrys phase picked up by a particle moving across the brillouin zone characterizes the topological properties of bloch bands in onedimensional periodic system here the zak phase in dimerized onedimensional locally resonant metamaterials is investigated it is found that there are some singular points in the bulk band across which the bloch states contribute pi to the zak phase whereas while in the rest of the band the contribution is nearly zero these singular points associated with zero reflection are caused by two different mechanisms the dimerizationindependent antiresonating of each branch and the dimerizationdependent destructive interference in multiple backscattering the structure undergoes a topological transition point in the band structure where the band inverts and the zak phase which is determined by the numbers of singular points in the bulk band changes following a shift in dimerization parameter finally the interface state between two dimerized metamaterial structures with different topological property in the first band gap is demonstrated experimentally the quasionedimensional configuration of the system allows one to explore topologyinspired new methods and applications in the subwavelength scale
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1,802.081
Negative differential resistance in Van der Waals heterostructures due to moir\'{e}-induced spectral reconstruction
Formation of moir\'{e} superlattices is common in Van der Waals heterostructures as a result of the mismatch between lattice constants and misalignment of crystallographic directions of the constituent two-dimensional crystals. We discuss theoretically electron transport in a Van der Waals tunnelling transistor in which one of the electrodes is made of two crystals forming a moir\'{e} superlattice at their interface. By investigating structures containing either the aligned graphene/hexagonal boron nitride heterostructure or twisted bilayer graphene, we show that negative differential resistance is possible in such transistors as a consequence of the superlattice-induced changes in the electronic density of states and without the need of momentum conserving tunnelling present in high-quality exfoliated devices.
cond-mat.mes-hall
formation of moire superlattices is common in van der waals heterostructures as a result of the mismatch between lattice constants and misalignment of crystallographic directions of the constituent twodimensional crystals we discuss theoretically electron transport in a van der waals tunnelling transistor in which one of the electrodes is made of two crystals forming a moire superlattice at their interface by investigating structures containing either the aligned graphenehexagonal boron nitride heterostructure or twisted bilayer graphene we show that negative differential resistance is possible in such transistors as a consequence of the superlatticeinduced changes in the electronic density of states and without the need of momentum conserving tunnelling present in highquality exfoliated devices
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1,802.08101
Homotopical Quantum Field Theory
Algebraic quantum field theory and prefactorization algebra are two mathematical approaches to quantum field theory. In this monograph, using a new coend definition of the Boardman-Vogt construction of a colored operad, we define homotopy algebraic quantum field theories and homotopy prefactorization algebras and investigate their homotopy coherent structures. Homotopy coherent diagrams, homotopy inverses, A-infinity-algebras, E-infinity-algebras, and E-infinity-modules arise naturally in this context. In particular, each homotopy algebraic quantum field theory has the structure of a homotopy coherent diagram of A-infinity-algebras and satisfies a homotopy coherent version of the causality axiom. When the time-slice axiom is defined for algebraic quantum field theory, a homotopy coherent version of the time-slice axiom is satisfied by each homotopy algebraic quantum field theory. Over each topological space, every homotopy prefactorization algebra has the structure of a homotopy coherent diagram of E-infinity-modules over an E-infinity-algebra. To compare the two approaches, we construct a comparison morphism from the colored operad for (homotopy) prefactorization algebras to the colored operad for (homotopy) algebraic quantum field theories and study the induced adjunctions on algebras.
math-ph math.AT math.CT math.MP
algebraic quantum field theory and prefactorization algebra are two mathematical approaches to quantum field theory in this monograph using a new coend definition of the boardmanvogt construction of a colored operad we define homotopy algebraic quantum field theories and homotopy prefactorization algebras and investigate their homotopy coherent structures homotopy coherent diagrams homotopy inverses ainfinityalgebras einfinityalgebras and einfinitymodules arise naturally in this context in particular each homotopy algebraic quantum field theory has the structure of a homotopy coherent diagram of ainfinityalgebras and satisfies a homotopy coherent version of the causality axiom when the timeslice axiom is defined for algebraic quantum field theory a homotopy coherent version of the timeslice axiom is satisfied by each homotopy algebraic quantum field theory over each topological space every homotopy prefactorization algebra has the structure of a homotopy coherent diagram of einfinitymodules over an einfinityalgebra to compare the two approaches we construct a comparison morphism from the colored operad for homotopy prefactorization algebras to the colored operad for homotopy algebraic quantum field theories and study the induced adjunctions on algebras
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1,802.08102
Understanding the Performance of Ceph Block Storage for Hyper-Converged Cloud with All Flash Storage
Hyper-converged cloud refers to an architecture that an operator runs compute and storage services on the same set of physical servers. Although the hyper-converged design comes with a number of benefits, it makes crucial operational tasks, such as capacity planning and cost analysis, fairly complicated. The problem becomes more onerous if we consider a complex distributed system, such as Ceph, for the cloud with the proliferation of SSD drives. In this paper, we aim to answer some of these questions based on comprehensive microbenchmarks, and consequently better understand the behavior of Ceph in a hyper-converged cloud with all-flash storage. We reported our findings based on the study, devised a cost model and compared the cost of hyper-converged architecture with dedicated storage architecture. Additionally we summarized our experience based on the interactions with many teams at AT&T in the past couple of years.
cs.DC
hyperconverged cloud refers to an architecture that an operator runs compute and storage services on the same set of physical servers although the hyperconverged design comes with a number of benefits it makes crucial operational tasks such as capacity planning and cost analysis fairly complicated the problem becomes more onerous if we consider a complex distributed system such as ceph for the cloud with the proliferation of ssd drives in this paper we aim to answer some of these questions based on comprehensive microbenchmarks and consequently better understand the behavior of ceph in a hyperconverged cloud with allflash storage we reported our findings based on the study devised a cost model and compared the cost of hyperconverged architecture with dedicated storage architecture additionally we summarized our experience based on the interactions with many teams at att in the past couple of years
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1,802.08103
Global entanglement and quantum phase transitions in the transverse XY Heisenberg chain
We provide a study of various quantum phase transitions occurring in the XY Heisenberg chain in a transverse magnetic field using the Meyer-Wallach (MW) measure of (global) entanglement. Such a measure, while being readily evaluated, is a multipartite measure of entanglement as opposed to more commonly used bipartite measures. Consequently, we obtain analytic expression of the measure for finite-size systems and show that it can be used to obtain critical exponents via finite-size scaling with great accuracy for the Ising universality class. We also calculate an analytic expression for the isotropic (XX) model and show that global entanglement can precisely identify the level-crossing points. The critical exponent for the isotropic transition is obtained exactly from an analytic expression for global entanglement in the thermodynamic limit. Next, the general behavior of the measure is calculated in the thermodynamic limit considering the important role of symmetries for this limit. The so-called oscillatory transition in the ferromagnetic regime can only be characterized by the thermodynamic limit where global entanglement is shown to be zero on the transition curve. Finally, the anisotropic transition is explored where it is shown that global entanglement exhibits an interesting behavior in the finite-size limit. In the thermodynamic limit, we show that global entanglement shows a cusp singularity across the Ising and anisotropic transition, while showing non-analytic behavior at the XX multicritical point. It is concluded that global entanglement, despite its relative simplicity, can be used to identify all the rich structure of the ground-state Heisenberg chain.
cond-mat.stat-mech quant-ph
we provide a study of various quantum phase transitions occurring in the xy heisenberg chain in a transverse magnetic field using the meyerwallach mw measure of global entanglement such a measure while being readily evaluated is a multipartite measure of entanglement as opposed to more commonly used bipartite measures consequently we obtain analytic expression of the measure for finitesize systems and show that it can be used to obtain critical exponents via finitesize scaling with great accuracy for the ising universality class we also calculate an analytic expression for the isotropic xx model and show that global entanglement can precisely identify the levelcrossing points the critical exponent for the isotropic transition is obtained exactly from an analytic expression for global entanglement in the thermodynamic limit next the general behavior of the measure is calculated in the thermodynamic limit considering the important role of symmetries for this limit the socalled oscillatory transition in the ferromagnetic regime can only be characterized by the thermodynamic limit where global entanglement is shown to be zero on the transition curve finally the anisotropic transition is explored where it is shown that global entanglement exhibits an interesting behavior in the finitesize limit in the thermodynamic limit we show that global entanglement shows a cusp singularity across the ising and anisotropic transition while showing nonanalytic behavior at the xx multicritical point it is concluded that global entanglement despite its relative simplicity can be used to identify all the rich structure of the groundstate heisenberg chain
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1,802.08104
Extended Bose-Hubbard Model with dipolar and contact interactions
We study the phase diagram of the one-dimensional boson gas trapped inside an optical lattice with contact and dipolar interaction taking into account next-nearest terms for both tunneling and interaction. Using the density matrix renormalization group, we calculate how the locations of phase transitions change with increasing dipolar interaction strength for average density $\rho = 1$. Furthermore, we show an emergence of pair-correlated phases for a large dipolar interaction strength and $\rho \geq 2$, including a supersolid phase with an incommensurate density wave ordering manifesting the corresponding spontaneous breaking of the translational symmetry.
cond-mat.quant-gas
we study the phase diagram of the onedimensional boson gas trapped inside an optical lattice with contact and dipolar interaction taking into account nextnearest terms for both tunneling and interaction using the density matrix renormalization group we calculate how the locations of phase transitions change with increasing dipolar interaction strength for average density rho 1 furthermore we show an emergence of paircorrelated phases for a large dipolar interaction strength and rho geq 2 including a supersolid phase with an incommensurate density wave ordering manifesting the corresponding spontaneous breaking of the translational symmetry
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1,802.08105
Linear complexity of Ding-Helleseth generalized cyclotomic sequences of order eight
During the last two decades, many kinds of periodic sequences with good pseudo-random properties have been constructed from classical and generalized cyclotomic classes, and used as keystreams for stream ciphers and secure communications. Among them are a family DH-GCS$_{d}$ of generalized cyclotomic sequences on the basis of Ding and Helleseth's generalized cyclotomy, of length $pq$ and order $d=\mathrm{gcd}(p-1,q-1)$ for distinct odd primes $p$ and $q$. The linear complexity (or linear span), as a valuable measure of unpredictability, is precisely determined for DH-GCS$_{8}$ in this paper. Our approach is based on Edemskiy and Antonova's computation method with the help of explicit expressions of Gaussian classical cyclotomic numbers of order $8$. Our result for $d=8$ is compatible with Yan's low bound $(pq-1)/2$ of the linear complexity for any order $d$, which means high enough to resist security attacks of the Berlekamp-Massey algorithm. Finally, we include SageMath codes to illustrate the validity of our result by examples.
math.NT cs.CR
during the last two decades many kinds of periodic sequences with good pseudorandom properties have been constructed from classical and generalized cyclotomic classes and used as keystreams for stream ciphers and secure communications among them are a family dhgcs_d of generalized cyclotomic sequences on the basis of ding and helleseths generalized cyclotomy of length pq and order dmathrmgcdp1q1 for distinct odd primes p and q the linear complexity or linear span as a valuable measure of unpredictability is precisely determined for dhgcs_8 in this paper our approach is based on edemskiy and antonovas computation method with the help of explicit expressions of gaussian classical cyclotomic numbers of order 8 our result for d8 is compatible with yans low bound pq12 of the linear complexity for any order d which means high enough to resist security attacks of the berlekampmassey algorithm finally we include sagemath codes to illustrate the validity of our result by examples
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1,802.08106
Greedy kernel methods for accelerating implicit integrators for parametric ODEs
We present a novel acceleration method for the solution of parametric ODEs by single-step implicit solvers by means of greedy kernel-based surrogate models. In an offline phase, a set of trajectories is precomputed with a high-accuracy ODE solver for a selected set of parameter samples, and used to train a kernel model which predicts the next point in the trajectory as a function of the last one. This model is cheap to evaluate, and it is used in an online phase for new parameter samples to provide a good initialization point for the nonlinear solver of the implicit integrator. The accuracy of the surrogate reflects into a reduction of the number of iterations until convergence of the solver, thus providing an overall speedup of the full simulation. Interestingly, in addition to providing an acceleration, the accuracy of the solution is maintained, since the ODE solver is still used to guarantee the required precision. Although the method can be applied to a large variety of solvers and different ODEs, we will present in details its use with the Implicit Euler method for the solution of the Burgers equation, which results to be a meaningful test case to demonstrate the method's features.
math.NA
we present a novel acceleration method for the solution of parametric odes by singlestep implicit solvers by means of greedy kernelbased surrogate models in an offline phase a set of trajectories is precomputed with a highaccuracy ode solver for a selected set of parameter samples and used to train a kernel model which predicts the next point in the trajectory as a function of the last one this model is cheap to evaluate and it is used in an online phase for new parameter samples to provide a good initialization point for the nonlinear solver of the implicit integrator the accuracy of the surrogate reflects into a reduction of the number of iterations until convergence of the solver thus providing an overall speedup of the full simulation interestingly in addition to providing an acceleration the accuracy of the solution is maintained since the ode solver is still used to guarantee the required precision although the method can be applied to a large variety of solvers and different odes we will present in details its use with the implicit euler method for the solution of the burgers equation which results to be a meaningful test case to demonstrate the methods features
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1,802.08107
Geometry of Multi-Flavor Galileon-Like Theories
We use Lie-algebraic arguments to classify Lorentz-invariant theories of massless interacting scalars that feature coordinate-dependent redundant symmetries of the Galileon type. We show that such theories are determined, up to a set of low-energy effective couplings, by specifying an affine representation of the Lie algebra of physical, non-redundant internal symmetries and an invariant metric on its target space. This creates an infinite catalog of theories relevant for both cosmology and high-energy physics thanks to their special properties such as enhanced scaling of scattering amplitudes in the soft limit.
hep-th gr-qc
we use liealgebraic arguments to classify lorentzinvariant theories of massless interacting scalars that feature coordinatedependent redundant symmetries of the galileon type we show that such theories are determined up to a set of lowenergy effective couplings by specifying an affine representation of the lie algebra of physical nonredundant internal symmetries and an invariant metric on its target space this creates an infinite catalog of theories relevant for both cosmology and highenergy physics thanks to their special properties such as enhanced scaling of scattering amplitudes in the soft limit
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1,802.08108
Relativistic Brueckner-Hartree-Fock theory for neutron drops
Neutron drops confined in an external field are studied in the framework of relativistic Brueckner-Hartree-Fock theory using the bare nucleon-nucleon interaction. The ground state energies and radii of neutron drops with even numbers from $N = 4$ to $N=50$ are calculated and compared with results obtained from other nonrelativistic \textit{ab initio} calculations and from relativistic density functional theory. Special attention has been paid to the magic numbers and to the sub-shell closures. The single-particle energies are investigated and the monopole effect of the tensor force on the evolutions of the spin-orbit and the pseudospin-orbit splittings is discussed. The results provide interesting insight of neutron rich systems and can form an important guide for future density functionals.
nucl-th
neutron drops confined in an external field are studied in the framework of relativistic bruecknerhartreefock theory using the bare nucleonnucleon interaction the ground state energies and radii of neutron drops with even numbers from n 4 to n50 are calculated and compared with results obtained from other nonrelativistic textitab initio calculations and from relativistic density functional theory special attention has been paid to the magic numbers and to the subshell closures the singleparticle energies are investigated and the monopole effect of the tensor force on the evolutions of the spinorbit and the pseudospinorbit splittings is discussed the results provide interesting insight of neutron rich systems and can form an important guide for future density functionals
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1,802.08109
A Grand-Unified Nelson-Barr Model
We argue that the Nelson-Barr solution to the Strong CP Problem can be naturally realized in an E$_6$ Grand-Unified Theory. The chiral SM fermions reside in three generations of E$_6$ fundamentals together with heavy vectorlike down quarks, leptons doublets and right-handed neutrinos. CP is imposed on the Lagrangian and broken only spontaneously at high scales, leading to a mixing between chiral and vectorlike fields that allows to solve the Strong CP Problem through the Nelson-Barr mechanism. The main benefit of the E$_6$ GUT structure is the predictivity in the SM fermion sector, and a perfect fit to all SM observables can be obtained despite being over-constrained. Definite predictions are made for the neutrino sector, with a Dirac CP phase that is correlated to the CKM phase, allowing to test this model in the near future.
hep-ph
we argue that the nelsonbarr solution to the strong cp problem can be naturally realized in an e_6 grandunified theory the chiral sm fermions reside in three generations of e_6 fundamentals together with heavy vectorlike down quarks leptons doublets and righthanded neutrinos cp is imposed on the lagrangian and broken only spontaneously at high scales leading to a mixing between chiral and vectorlike fields that allows to solve the strong cp problem through the nelsonbarr mechanism the main benefit of the e_6 gut structure is the predictivity in the sm fermion sector and a perfect fit to all sm observables can be obtained despite being overconstrained definite predictions are made for the neutrino sector with a dirac cp phase that is correlated to the ckm phase allowing to test this model in the near future
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1,802.0811
Spin symmetry in the Dirac sea derived from the bare nucleon-nucleon interaction
The spin symmetry in the Dirac sea has been investigated with relativistic Brueckner-Hartree-Fock theory using the bare nucleon-nucleon interaction. Taking the nucleus $^{16}$O as an example and comparing the theoretical results with the data, the definition of the single-particle potential in the Dirac sea is studied in detail. It is found that if the single-particle states in the Dirac sea are treated as occupied states, the ground state properties are in better agreement with experimental data. Moreover, in this case, the spin symmetry in the Dirac sea is better conserved and it is more consistent with the findings using phenomenological relativistic density functionals.
nucl-th
the spin symmetry in the dirac sea has been investigated with relativistic bruecknerhartreefock theory using the bare nucleonnucleon interaction taking the nucleus 16o as an example and comparing the theoretical results with the data the definition of the singleparticle potential in the dirac sea is studied in detail it is found that if the singleparticle states in the dirac sea are treated as occupied states the ground state properties are in better agreement with experimental data moreover in this case the spin symmetry in the dirac sea is better conserved and it is more consistent with the findings using phenomenological relativistic density functionals
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1,802.08111
Local anti-correlation between star-formation rate and gas-phase metallicity in disk galaxies
Using a representative sample of 14 star-forming dwarf galaxies in the local Universe, we show the existence of a spaxel-to-spaxel anti-correlation between the index N2 (log([NII]6583/Halpha)) and the Halpha flux. These two quantities are commonly employed as proxies for gas-phase metallicity and star formation rate (SFR), respectively. Thus, the observed N2 to Halpha relation may reflect the existence of an anti-correlation between the metallicity of the gas forming stars and the SFR it induces. Such an anti-correlation is to be expected if variable external metal-poor gas fuels the star-formation process. Alternatively, it can result from the contamination of the star-forming gas by stellar winds and SNe, provided that intense outflows drive most of the metals out of the star-forming regions. We also explore the possibility that the observed anti-correlation is due to variations in the physical conditions of the emitting gas, other than metallicity. Using alternative methods to compute metallicity, as well as previous observations of HII regions and photoionization models, we conclude that this possibility is unlikely. The radial gradient of metallicity characterizing disk galaxies does not produce the correlation either.
astro-ph.GA
using a representative sample of 14 starforming dwarf galaxies in the local universe we show the existence of a spaxeltospaxel anticorrelation between the index n2 lognii6583halpha and the halpha flux these two quantities are commonly employed as proxies for gasphase metallicity and star formation rate sfr respectively thus the observed n2 to halpha relation may reflect the existence of an anticorrelation between the metallicity of the gas forming stars and the sfr it induces such an anticorrelation is to be expected if variable external metalpoor gas fuels the starformation process alternatively it can result from the contamination of the starforming gas by stellar winds and sne provided that intense outflows drive most of the metals out of the starforming regions we also explore the possibility that the observed anticorrelation is due to variations in the physical conditions of the emitting gas other than metallicity using alternative methods to compute metallicity as well as previous observations of hii regions and photoionization models we conclude that this possibility is unlikely the radial gradient of metallicity characterizing disk galaxies does not produce the correlation either
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1,802.08112
Rational consumer decisions in a peak time rebate program
A rational behavior of a consumer is analyzed when the user participates in a Peak Time Rebate (PTR) mechanism, which is a demand response (DR) incentive program based on a baseline. A multi-stage stochastic programming is proposed from the demand side in order to understand the rational decisions. The consumer preferences are modeled as a risk-averse function under additive uncertainty. The user chooses the optimal consumption profile to maximize his economic benefits for each period. The stochastic optimization problem is solved backward in time. A particular situation is developed when the System Operator (SO) uses consumption of the previous interval as the household-specific baseline for the DR program. It is found that a rational consumer alters the baseline in order to increase the well-being when there is an economic incentive. As results, whether the incentive is lower than the retail price, the user shifts his load requirement to the baseline setting period. On the other hand, if the incentive is greater than the regular energy price, the optimal decision is that the user spends the maximum possible energy in the baseline setting period and reduces the consumption at the PTR time. This consumer behavior produces more energy consumption in total considering all periods. In addition, the user with high uncertainty level in his energy pattern should spend less energy than a predictable consumer when the incentive is lower than the retail price.
cs.SY
a rational behavior of a consumer is analyzed when the user participates in a peak time rebate ptr mechanism which is a demand response dr incentive program based on a baseline a multistage stochastic programming is proposed from the demand side in order to understand the rational decisions the consumer preferences are modeled as a riskaverse function under additive uncertainty the user chooses the optimal consumption profile to maximize his economic benefits for each period the stochastic optimization problem is solved backward in time a particular situation is developed when the system operator so uses consumption of the previous interval as the householdspecific baseline for the dr program it is found that a rational consumer alters the baseline in order to increase the wellbeing when there is an economic incentive as results whether the incentive is lower than the retail price the user shifts his load requirement to the baseline setting period on the other hand if the incentive is greater than the regular energy price the optimal decision is that the user spends the maximum possible energy in the baseline setting period and reduces the consumption at the ptr time this consumer behavior produces more energy consumption in total considering all periods in addition the user with high uncertainty level in his energy pattern should spend less energy than a predictable consumer when the incentive is lower than the retail price
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1,802.08113
Adaptive synchronisation of unknown nonlinear networked systems with prescribed performance
This paper proposes an adaptive tracking control with prescribed performance function for distributive cooperative control of highly nonlinear multi-agent systems. The use of such approach confines the tracking error within a large predefined set to a predefined smaller set. The key idea is to transform the constrained system into unconstrained one through the transformation of the output error. Agents' dynamics are assumed unknown, and the controller is developed for a strongly connected structured network. The proposed controller allows all agents to follow the trajectory of the leader node, while satisfying the necessary dynamic requirements. The proposed approach guarantees uniform ultimate boundedness for the transformed error as well as a bounded adaptive estimate of the unknown parameters and dynamics. Simulations include two examples to validate the robustness and smoothness of the proposed controller against highly nonlinear heterogeneous multi-agent system with uncertain time-variant parameters and external disturbances. Keywords: Prescribed performance, Transformed error, Multi-agents, Distributed adaptive control, Adaptive Consensus, Transient, Steady-state error, Semi-global asymptotic stability, uniformly ultimately bounded, Nonlinear Networked Systems, Distributed Control, Robustness.
math.OC cs.SY math.DS
this paper proposes an adaptive tracking control with prescribed performance function for distributive cooperative control of highly nonlinear multiagent systems the use of such approach confines the tracking error within a large predefined set to a predefined smaller set the key idea is to transform the constrained system into unconstrained one through the transformation of the output error agents dynamics are assumed unknown and the controller is developed for a strongly connected structured network the proposed controller allows all agents to follow the trajectory of the leader node while satisfying the necessary dynamic requirements the proposed approach guarantees uniform ultimate boundedness for the transformed error as well as a bounded adaptive estimate of the unknown parameters and dynamics simulations include two examples to validate the robustness and smoothness of the proposed controller against highly nonlinear heterogeneous multiagent system with uncertain timevariant parameters and external disturbances keywords prescribed performance transformed error multiagents distributed adaptive control adaptive consensus transient steadystate error semiglobal asymptotic stability uniformly ultimately bounded nonlinear networked systems distributed control robustness
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1,802.08114
Two-way sparsity for time-varying networks, with applications in genomics
We propose a novel way of modelling time-varying networks, by inducing two-way sparsity on local models of node connectivity. This two-way sparsity separately promotes sparsity across time and sparsity across variables (within time). Separation of these two types of sparsity is achieved through a novel prior structure, which draws on ideas from the Bayesian lasso and from copula modelling. We provide an efficient implementation of the proposed model via a Gibbs sampler, and we apply the model to data from neural development. In doing so, we demonstrate that the proposed model is able to identify changes in genomic network structure that match current biological knowledge. Such changes in genomic network structure can then be used by neuro-biologists to identify potential targets for further experimental investigation.
stat.ME
we propose a novel way of modelling timevarying networks by inducing twoway sparsity on local models of node connectivity this twoway sparsity separately promotes sparsity across time and sparsity across variables within time separation of these two types of sparsity is achieved through a novel prior structure which draws on ideas from the bayesian lasso and from copula modelling we provide an efficient implementation of the proposed model via a gibbs sampler and we apply the model to data from neural development in doing so we demonstrate that the proposed model is able to identify changes in genomic network structure that match current biological knowledge such changes in genomic network structure can then be used by neurobiologists to identify potential targets for further experimental investigation
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1,802.08115
Novel differential quadrature element method for higher order strain gradient elasticity theory
In this paper, we propose a novel and efficient differential quadrature element based on Lagrange interpolation to solve a sixth order partial differential equations encountered in non-classical beam theories. These non-classical theories render displacement, slope and curvature as degrees of freedom for an Euler-Bernoulli beam. A generalize scheme is presented herein to implementation the multi-degrees degrees of freedom associated with these non-classical theories in a simplified and efficient way. The proposed element has displacement as the only degree of freedom in the domain, whereas, at the boundaries it has displacement, slope and curvature. Further, we extend this methodology and formulate two novel versions of plate element for gradient elasticity theory. In the first version, Lagrange interpolation is assumed in $x$ and $y$ directions and the second version is based on mixed interpolation, with Lagrange interpolation in $x$ direction and Hermite interpolation in $y$ direction. The procedure to compute the modified weighting coefficients by incorporating the classical and non-classical boundary conditions is explained. The efficiency of the proposed elements is demonstrated through numerical examples on static analysis of gradient elastic beams and plates for different boundary conditions.
cs.CE
in this paper we propose a novel and efficient differential quadrature element based on lagrange interpolation to solve a sixth order partial differential equations encountered in nonclassical beam theories these nonclassical theories render displacement slope and curvature as degrees of freedom for an eulerbernoulli beam a generalize scheme is presented herein to implementation the multidegrees degrees of freedom associated with these nonclassical theories in a simplified and efficient way the proposed element has displacement as the only degree of freedom in the domain whereas at the boundaries it has displacement slope and curvature further we extend this methodology and formulate two novel versions of plate element for gradient elasticity theory in the first version lagrange interpolation is assumed in x and y directions and the second version is based on mixed interpolation with lagrange interpolation in x direction and hermite interpolation in y direction the procedure to compute the modified weighting coefficients by incorporating the classical and nonclassical boundary conditions is explained the efficiency of the proposed elements is demonstrated through numerical examples on static analysis of gradient elastic beams and plates for different boundary conditions
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1,802.08116
Demonstration of Bayesian quantum game on an ion trap quantum computer
We demonstrate a Bayesian quantum game on an ion trap quantum computer with five qubits. The players share an entangled pair of qubits and perform rotations on their qubit as the strategy choice. Two five-qubit circuits are sufficient to run all 16 possible strategy choice sets in a game with four possible strategies. The data are then parsed into player types randomly in order to combine them classically into a Bayesian framework. We exhaustively compute the possible strategies of the game so that the experimental data can be used to solve for the Nash equilibria of the game directly. Then we compare the payoff at the Nash equilibria and location of phase-change-like transitions obtained from the experimental data to the theory, and study how it changes as a function of the amount of entanglement.
quant-ph
we demonstrate a bayesian quantum game on an ion trap quantum computer with five qubits the players share an entangled pair of qubits and perform rotations on their qubit as the strategy choice two fivequbit circuits are sufficient to run all 16 possible strategy choice sets in a game with four possible strategies the data are then parsed into player types randomly in order to combine them classically into a bayesian framework we exhaustively compute the possible strategies of the game so that the experimental data can be used to solve for the nash equilibria of the game directly then we compare the payoff at the nash equilibria and location of phasechangelike transitions obtained from the experimental data to the theory and study how it changes as a function of the amount of entanglement
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1,802.08117
Topological spaces of persistence modules and their properties
Persistence modules are a central algebraic object arising in topological data analysis. The notion of interleaving provides a natural way to measure distances between persistence modules. We consider various classes of persistence modules, including many of those that have been previously studied, and describe the relationships between them. In the cases where these classes are sets, interleaving distance induces a topology. We undertake a systematic study the resulting topological spaces and their basic topological properties.
math.AT math.GN
persistence modules are a central algebraic object arising in topological data analysis the notion of interleaving provides a natural way to measure distances between persistence modules we consider various classes of persistence modules including many of those that have been previously studied and describe the relationships between them in the cases where these classes are sets interleaving distance induces a topology we undertake a systematic study the resulting topological spaces and their basic topological properties
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1,802.08118
The topological chiral homology of the spherical category
We consider the spherical DG category $Sph_G$ attached to an affine algebraic group $G$. By definition, $Sph_G := IndCoh(LS_G(S^2))$ consists of ind-coherent sheaves of the stack of $G$-local systems on the $2$-sphere $S^2$. The $3$-dimensional version of the pair of pants endows $Sph_G$ with an $E_3$-monoidal structure. More generally, for an algebraic stack $Y$ (satisfying some mild conditions) and $n \geq -1$, we can look at the $E_{n+1}$-monoidal DG category $Sph(Y,n) := IndCoh_0((Y^{S^n})^\wedge_Y)$, where $IndCoh_0$ is the sheaf theory introduced in [AG2] and [centerH]. % The case of $Sph_G$ is recovered by setting $Y =BG$ and $n=2$. The cobordism hypothesis associates to $Sph(Y,n)$ an $(n+1)$-dimensional TQFT, whose value of a manifold $M^d$ of dimension $d \leq n+1$ (possibly with boundary) is given by the {topological chiral homology} $\int_{M^d} Sph(Y,n)$. % In this paper, we compute such homology (in virtually all cases): we have the Stokes style formula $$ \int_{M^d} Sph(Y,n) \simeq IndCoh_0 ( (Y^{\partial(M^d \times D^{n+1-d})})^\wedge_{Y^M} ) , $$ where the formal completion is constructed using the obvious projection $\partial(M^d \times D^{n+1-d}) \to M^d$. The most interesting instance of this formula is for $Sph_G \simeq Sph(BG,2)$, the original spherical category, and $X$ a Riemann surface. In this case, we obtain a monoidal equivalence $\int_X Sph_G \simeq H(LS_G^{Betti}(X))$, where $LS_G^{Betti}(X)$ is the stack of $G$-local systems on the topological space underlying $X$ and $H$ is the sheaf theory introduced in [centerH].
math.RT math.AG math.CT math.QA
we consider the spherical dg category sph_g attached to an affine algebraic group g by definition sph_g indcohls_gs2 consists of indcoherent sheaves of the stack of glocal systems on the 2sphere s2 the 3dimensional version of the pair of pants endows sph_g with an e_3monoidal structure more generally for an algebraic stack y satisfying some mild conditions and n geq 1 we can look at the e_n1monoidal dg category sphyn indcoh_0ysnwedge_y where indcoh_0 is the sheaf theory introduced in ag2 and centerh the case of sph_g is recovered by setting y bg and n2 the cobordism hypothesis associates to sphyn an n1dimensional tqft whose value of a manifold md of dimension d leq n1 possibly with boundary is given by the topological chiral homology int_md sphyn in this paper we compute such homology in virtually all cases we have the stokes style formula int_md sphyn simeq indcoh_0 ypartialmd times dn1dwedge_ym where the formal completion is constructed using the obvious projection partialmd times dn1d to md the most interesting instance of this formula is for sph_g simeq sphbg2 the original spherical category and x a riemann surface in this case we obtain a monoidal equivalence int_x sph_g simeq hls_gbettix where ls_gbettix is the stack of glocal systems on the topological space underlying x and h is the sheaf theory introduced in centerh
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1,802.08119
Laser frequency stabilization using a transfer interferometer
We present a laser frequency stabilization system that uses a transfer interferometer to stabilize slave lasers to a reference laser. Our implementation uses off-the-shelf optical components along with microcontroller-based digital feedback, and offers a simple, flexible and robust way to stabilize multiple laser frequencies to better than 1 MHz.
physics.atom-ph physics.ins-det
we present a laser frequency stabilization system that uses a transfer interferometer to stabilize slave lasers to a reference laser our implementation uses offtheshelf optical components along with microcontrollerbased digital feedback and offers a simple flexible and robust way to stabilize multiple laser frequencies to better than 1 mhz
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1,802.0812
Microscopic dynamics of superfluid $^4$He: a comprehensive study by inelastic neutron scattering
The dynamic structure factor of superfluid $^4$He has been investigated at very low temperatures by inelastic neutron scattering. The measurements combine different incoming energies resulting in an unprecedentedly large dynamic range with excellent energy resolution, covering wave vectors $Q$ up to 5 \AA$^{-1}$ and energies $\omega$ up to 15 meV. A detailed description of the dynamics of superfluid $^4$He is obtained from saturated vapor pressure up to solidification. The single-excitation spectrum is substantially modified at high pressures, as the maxon energy exceeds the roton-roton decay threshold. A highly structured multi-excitation spectrum is observed at low energies, where clear thresholds and branches have been identified. Strong phonon emission branches are observed when the phonon or roton group velocities exceed the sound velocity. The spectrum is found to display strong multi-excitations whenever the single-excitations face disintegration following Pitaevskii's type a or b criteria. At intermediate energies, an interesting pattern in the dynamic structure factor is observed in the vicinity of the recoil energy. All these features, which evolve significantly with pressure, are in very good agreement with the Dynamic Many-body calculations, even at the highest densities, where the correlations are strongest.
cond-mat.other
the dynamic structure factor of superfluid 4he has been investigated at very low temperatures by inelastic neutron scattering the measurements combine different incoming energies resulting in an unprecedentedly large dynamic range with excellent energy resolution covering wave vectors q up to 5 aa1 and energies omega up to 15 mev a detailed description of the dynamics of superfluid 4he is obtained from saturated vapor pressure up to solidification the singleexcitation spectrum is substantially modified at high pressures as the maxon energy exceeds the rotonroton decay threshold a highly structured multiexcitation spectrum is observed at low energies where clear thresholds and branches have been identified strong phonon emission branches are observed when the phonon or roton group velocities exceed the sound velocity the spectrum is found to display strong multiexcitations whenever the singleexcitations face disintegration following pitaevskiis type a or b criteria at intermediate energies an interesting pattern in the dynamic structure factor is observed in the vicinity of the recoil energy all these features which evolve significantly with pressure are in very good agreement with the dynamic manybody calculations even at the highest densities where the correlations are strongest
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1,802.08121
Micropolar modeling approach for periodic sandwich beams
We develop a micropolar Timoshenko beam theory and use it to model web-core sandwich beams. The beam theory is derived by a vector approach and the general displacement solution to the governing sixth-order equations is given. A nodally-exact micropolar Timoshenko beam element is formulated using the solution. Bending and shear stiffnesses for a micropolar web-core sandwich beam are determined through unit cell analysis where the split of the shear forces into symmetric and antisymmetric parts plays a pivotal role. Static bending of web-core beams is studied using the micropolar model as well as modified couple-stress and classical Timoshenko beams. The 1-D micropolar results are in best agreement with 2-D web-core beam frame results. This is because the micropolar beam allows antisymmetric shear deformation to emerge at locations where the 2-D web-core deformations cannot be reduced to 1-D by considering only symmetric shear behavior.
physics.class-ph
we develop a micropolar timoshenko beam theory and use it to model webcore sandwich beams the beam theory is derived by a vector approach and the general displacement solution to the governing sixthorder equations is given a nodallyexact micropolar timoshenko beam element is formulated using the solution bending and shear stiffnesses for a micropolar webcore sandwich beam are determined through unit cell analysis where the split of the shear forces into symmetric and antisymmetric parts plays a pivotal role static bending of webcore beams is studied using the micropolar model as well as modified couplestress and classical timoshenko beams the 1d micropolar results are in best agreement with 2d webcore beam frame results this is because the micropolar beam allows antisymmetric shear deformation to emerge at locations where the 2d webcore deformations cannot be reduced to 1d by considering only symmetric shear behavior
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1,802.08122
Harmonious Attention Network for Person Re-Identification
Existing person re-identification (re-id) methods either assume the availability of well-aligned person bounding box images as model input or rely on constrained attention selection mechanisms to calibrate misaligned images. They are therefore sub-optimal for re-id matching in arbitrarily aligned person images potentially with large human pose variations and unconstrained auto-detection errors. In this work, we show the advantages of jointly learning attention selection and feature representation in a Convolutional Neural Network (CNN) by maximising the complementary information of different levels of visual attention subject to re-id discriminative learning constraints. Specifically, we formulate a novel Harmonious Attention CNN (HA-CNN) model for joint learning of soft pixel attention and hard regional attention along with simultaneous optimisation of feature representations, dedicated to optimise person re-id in uncontrolled (misaligned) images. Extensive comparative evaluations validate the superiority of this new HA-CNN model for person re-id over a wide variety of state-of-the-art methods on three large-scale benchmarks including CUHK03, Market-1501, and DukeMTMC-ReID.
cs.CV
existing person reidentification reid methods either assume the availability of wellaligned person bounding box images as model input or rely on constrained attention selection mechanisms to calibrate misaligned images they are therefore suboptimal for reid matching in arbitrarily aligned person images potentially with large human pose variations and unconstrained autodetection errors in this work we show the advantages of jointly learning attention selection and feature representation in a convolutional neural network cnn by maximising the complementary information of different levels of visual attention subject to reid discriminative learning constraints specifically we formulate a novel harmonious attention cnn hacnn model for joint learning of soft pixel attention and hard regional attention along with simultaneous optimisation of feature representations dedicated to optimise person reid in uncontrolled misaligned images extensive comparative evaluations validate the superiority of this new hacnn model for person reid over a wide variety of stateoftheart methods on three largescale benchmarks including cuhk03 market1501 and dukemtmcreid
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1,802.08123
Dual Shapiro steps of a phase-slip junction in the presence of a parasitic capacitance
Bloch oscillations in a single Josephson junction in the phase-slip regime relate current to frequency. They can be measured by applying a periodic drive to a DC-biased, small Josephson junction. Phase-locking between the periodic drive and the Bloch oscillations then gives rise to steps at constant current in the I-V curves, also known as dual Shapiro steps. Unlike conventional Shapiro steps, a measurement of these dual Shapiro steps is impeded by the presence of a parasitic capacitance. This capacitance shunts the junction resulting in a suppression of the amplitude of the Bloch oscillations. This detrimental effect of the parasitic capacitance can be remedied by an on-chip superinductance. Additionally, we introduce a large off-chip resistance to provide the necessary dissipation. We investigate the resulting system by a set of analytical and numerical methods. In particular, we obtain an explicit analytical expression for the height of dual Shapiro steps as a function of the ratio of the parasitic capacitance to the superinductance. Using this result, we provide a quantitative estimate of the dual Shapiro step height. Our calculations reveal that even in the presence of a parasitic capacitance, it should be possible to observe Bloch oscillations with realistic experimental parameters.
cond-mat.mes-hall quant-ph
bloch oscillations in a single josephson junction in the phaseslip regime relate current to frequency they can be measured by applying a periodic drive to a dcbiased small josephson junction phaselocking between the periodic drive and the bloch oscillations then gives rise to steps at constant current in the iv curves also known as dual shapiro steps unlike conventional shapiro steps a measurement of these dual shapiro steps is impeded by the presence of a parasitic capacitance this capacitance shunts the junction resulting in a suppression of the amplitude of the bloch oscillations this detrimental effect of the parasitic capacitance can be remedied by an onchip superinductance additionally we introduce a large offchip resistance to provide the necessary dissipation we investigate the resulting system by a set of analytical and numerical methods in particular we obtain an explicit analytical expression for the height of dual shapiro steps as a function of the ratio of the parasitic capacitance to the superinductance using this result we provide a quantitative estimate of the dual shapiro step height our calculations reveal that even in the presence of a parasitic capacitance it should be possible to observe bloch oscillations with realistic experimental parameters
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1,802.08124
Deterministic Quantum Network for Distributed Entanglement and Quantum Computation
We propose a simple interaction protocol to be implemented on a scalable quantum network, in which the quantum nodes consist of qubit systems confined in cavities. The nodes are deterministically coupled by transmission and reflection of a single photon, which is disentangled from the qubits at the end of the coupling operation. This single photon can generate an entangling controlled phase (C-PHASE) gate between any selected number of qubits in the network. Our multi-qubit gate reaches a much higher fidelity compared to schemes concatenating one-qubit and two-qubit gates; thus it forms an efficient basis for universal quantum computing distributed over multiple processor units. In our analysis we consider atomic qubits coupled to optical photons, while the scheme can be readily generalized to other architectures, such as superconducting qubit nodes coupled by microwave photons.
quant-ph
we propose a simple interaction protocol to be implemented on a scalable quantum network in which the quantum nodes consist of qubit systems confined in cavities the nodes are deterministically coupled by transmission and reflection of a single photon which is disentangled from the qubits at the end of the coupling operation this single photon can generate an entangling controlled phase cphase gate between any selected number of qubits in the network our multiqubit gate reaches a much higher fidelity compared to schemes concatenating onequbit and twoqubit gates thus it forms an efficient basis for universal quantum computing distributed over multiple processor units in our analysis we consider atomic qubits coupled to optical photons while the scheme can be readily generalized to other architectures such as superconducting qubit nodes coupled by microwave photons
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1,802.08125
The non-linear onset of neutrino-driven convection in two and three-dimensional core-collapse supernovae
A toy model of the post-shock region of core-collapse supernovae is used to study the non-linear development of turbulent motions driven by convection in the presence of advection. Our numerical simulations indicate that buoyant perturbations of density are able to trigger self-sustained convection only when the instability is not linearly stabilized by advection. Large amplitude perturbations produced by strong shock oscillations or combustion inhomogeneities before the collapse of the progenitor are efficiently shredded through phase mixing and generate a turbulent cascade. Our model enables us to investigate several physical arguments that had been proposed to explain the impact of the dimensionality on the onset of explosions in global simulations of core-collapse supernovae. Three-dimensional (3D) simulations are found to lead to higher entropy values than two-dimensional (2D) ones. We attribute this to greater turbulent mixing and dissipation of the kinetic energy into heat in 3D. Our results show that the increase of entropy is enhanced with finer numerical resolution and larger perturbation amplitude.
astro-ph.SR astro-ph.HE
a toy model of the postshock region of corecollapse supernovae is used to study the nonlinear development of turbulent motions driven by convection in the presence of advection our numerical simulations indicate that buoyant perturbations of density are able to trigger selfsustained convection only when the instability is not linearly stabilized by advection large amplitude perturbations produced by strong shock oscillations or combustion inhomogeneities before the collapse of the progenitor are efficiently shredded through phase mixing and generate a turbulent cascade our model enables us to investigate several physical arguments that had been proposed to explain the impact of the dimensionality on the onset of explosions in global simulations of corecollapse supernovae threedimensional 3d simulations are found to lead to higher entropy values than twodimensional 2d ones we attribute this to greater turbulent mixing and dissipation of the kinetic energy into heat in 3d our results show that the increase of entropy is enhanced with finer numerical resolution and larger perturbation amplitude
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1,802.08126
Time-parallel iterative solvers for parabolic evolution equations
We present original time-parallel algorithms for the solution of the implicit Euler discretization of general linear parabolic evolution equations with time-dependent self-adjoint spatial operators. Motivated by the inf-sup theory of parabolic problems, we show that the standard nonsymmetric time-global system can be equivalently reformulated as an original symmetric saddle-point system that remains inf-sup stable with respect to the same natural parabolic norms. We then propose and analyse an efficient and readily implementable parallel-in-time preconditioner to be used with an inexact Uzawa method. The proposed preconditioner is non-intrusive and easy to implement in practice, and also features the key theoretical advantages of robust spectral bounds, leading to convergence rates that are independent of the number of time-steps, final time, or spatial mesh sizes, and also a theoretical parallel complexity that grows only logarithmically with respect to the number of time-steps. Numerical experiments with large-scale parallel computations show the effectiveness of the method, along with its good weak and strong scaling properties.
math.NA
we present original timeparallel algorithms for the solution of the implicit euler discretization of general linear parabolic evolution equations with timedependent selfadjoint spatial operators motivated by the infsup theory of parabolic problems we show that the standard nonsymmetric timeglobal system can be equivalently reformulated as an original symmetric saddlepoint system that remains infsup stable with respect to the same natural parabolic norms we then propose and analyse an efficient and readily implementable parallelintime preconditioner to be used with an inexact uzawa method the proposed preconditioner is nonintrusive and easy to implement in practice and also features the key theoretical advantages of robust spectral bounds leading to convergence rates that are independent of the number of timesteps final time or spatial mesh sizes and also a theoretical parallel complexity that grows only logarithmically with respect to the number of timesteps numerical experiments with largescale parallel computations show the effectiveness of the method along with its good weak and strong scaling properties
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1,802.08127
Mapping Analytic sets onto cubes by little Lipschitz functions
A mapping $f:X\to Y$ between metric spaces is called \emph{little Lipschitz} if the quantity $$ \operatorname{lip}(f(x)=\liminf_{r\to0}\frac{\operatorname{diam} f(B(x,r))}{r} $$ is finite for every $x\in X$. We prove that if a compact (or, more generally, analytic) metric space has packing dimension greater than $n$, then $X$ can be mapped onto an $n$-dimensional cube by a little Lipschitz function. The result requires two facts that are interesing in their own right. First, an analytic metric space $X$ contains, for any $\varepsilon>0$, a compact subset $S$ that embeds into an ultrametric space by a Lipschitz map, and $\dim_P S\geq\dim_P X-\varepsilon$. Second, a little Lipschitz function on a closed subset admits a little Lipschitz extension.
math.CA
a mapping fxto y between metric spaces is called emphlittle lipschitz if the quantity operatornamelipfxliminf_rto0fracoperatornamediam fbxrr is finite for every xin x we prove that if a compact or more generally analytic metric space has packing dimension greater than n then x can be mapped onto an ndimensional cube by a little lipschitz function the result requires two facts that are interesing in their own right first an analytic metric space x contains for any varepsilon0 a compact subset s that embeds into an ultrametric space by a lipschitz map and dim_p sgeqdim_p xvarepsilon second a little lipschitz function on a closed subset admits a little lipschitz extension
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1,802.08128
The moduli space of Fano manifolds with K\"ahler-Ricci solitons
We construct a canonical Hausdorff complex analytic moduli space of Fano manifolds with K\"ahler-Ricci solitons. This naturally enlarges the moduli space of Fano manifolds with K\"ahler-Einstein metrics, which was constructed by Odaka and Li-Wang-Xu. We discover a moment map picture for K\"ahler-Ricci solitons, and give complex analytic charts on the topological space consisting of K\"ahler-Ricci solitons, by studying differential geometric aspects of this infinite dimensional moment map. Some stacky words and arguments on Gromov-Hausdorff convergence help to glue them together in the holomorphic manner.
math.DG math.AG
we construct a canonical hausdorff complex analytic moduli space of fano manifolds with kahlerricci solitons this naturally enlarges the moduli space of fano manifolds with kahlereinstein metrics which was constructed by odaka and liwangxu we discover a moment map picture for kahlerricci solitons and give complex analytic charts on the topological space consisting of kahlerricci solitons by studying differential geometric aspects of this infinite dimensional moment map some stacky words and arguments on gromovhausdorff convergence help to glue them together in the holomorphic manner
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1,802.08129
Multimodal Explanations: Justifying Decisions and Pointing to the Evidence
Deep models that are both effective and explainable are desirable in many settings; prior explainable models have been unimodal, offering either image-based visualization of attention weights or text-based generation of post-hoc justifications. We propose a multimodal approach to explanation, and argue that the two modalities provide complementary explanatory strengths. We collect two new datasets to define and evaluate this task, and propose a novel model which can provide joint textual rationale generation and attention visualization. Our datasets define visual and textual justifications of a classification decision for activity recognition tasks (ACT-X) and for visual question answering tasks (VQA-X). We quantitatively show that training with the textual explanations not only yields better textual justification models, but also better localizes the evidence that supports the decision. We also qualitatively show cases where visual explanation is more insightful than textual explanation, and vice versa, supporting our thesis that multimodal explanation models offer significant benefits over unimodal approaches.
cs.AI cs.CL cs.CV
deep models that are both effective and explainable are desirable in many settings prior explainable models have been unimodal offering either imagebased visualization of attention weights or textbased generation of posthoc justifications we propose a multimodal approach to explanation and argue that the two modalities provide complementary explanatory strengths we collect two new datasets to define and evaluate this task and propose a novel model which can provide joint textual rationale generation and attention visualization our datasets define visual and textual justifications of a classification decision for activity recognition tasks actx and for visual question answering tasks vqax we quantitatively show that training with the textual explanations not only yields better textual justification models but also better localizes the evidence that supports the decision we also qualitatively show cases where visual explanation is more insightful than textual explanation and vice versa supporting our thesis that multimodal explanation models offer significant benefits over unimodal approaches
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1,802.0813
A novel incentive-based demand response model for Cournot competition in electricity markets
This paper presents an analysis of competition between generators when incentive-based demand response is employed in an electricity market. Thermal and hydropower generation are considered in the model. A smooth inverse demand function is designed using a sigmoid and two linear functions for modeling the consumer preferences under incentive-based demand response program. Generators compete to sell energy bilaterally to consumers and system operator provides transmission and arbitrage services. The profit of each agent is posed as an optimization problem, then the competition result is found by solving simultaneously Karush-Kuhn-Tucker conditions for all generators. A Nash-Cournot equilibrium is found when the system operates normally and at peak demand times when DR is required. Under this model, results show that DR diminishes the energy consumption at peak periods, shifts the power requirement to off-peak times and improves the net consumer surplus due to incentives received for participating in DR program. However, the generators decrease their profit due to the reduction of traded energy and market prices.
cs.GT
this paper presents an analysis of competition between generators when incentivebased demand response is employed in an electricity market thermal and hydropower generation are considered in the model a smooth inverse demand function is designed using a sigmoid and two linear functions for modeling the consumer preferences under incentivebased demand response program generators compete to sell energy bilaterally to consumers and system operator provides transmission and arbitrage services the profit of each agent is posed as an optimization problem then the competition result is found by solving simultaneously karushkuhntucker conditions for all generators a nashcournot equilibrium is found when the system operates normally and at peak demand times when dr is required under this model results show that dr diminishes the energy consumption at peak periods shifts the power requirement to offpeak times and improves the net consumer surplus due to incentives received for participating in dr program however the generators decrease their profit due to the reduction of traded energy and market prices
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1,802.08131
Searching for the rules that govern hadron construction
Just as Quantum Electrodynamics describes how electrons are bound in atoms by the electromagnetic force, mediated by exchange of photons, Quantum Chromodynamics (QCD) describes how quarks are bound inside hadrons by the strong force, mediated by exchange of gluons. At face value, QCD allows hadrons constructed from increasingly many quarks to exist, just as atoms with increasing numbers of electrons exist, yet such complex constructions seemed, until recently, to not be present in nature. In what follows we describe advances in the spectroscopy of mesons that are refining our understanding of the rules for building hadrons from QCD.
hep-ph hep-ex nucl-ex
just as quantum electrodynamics describes how electrons are bound in atoms by the electromagnetic force mediated by exchange of photons quantum chromodynamics qcd describes how quarks are bound inside hadrons by the strong force mediated by exchange of gluons at face value qcd allows hadrons constructed from increasingly many quarks to exist just as atoms with increasing numbers of electrons exist yet such complex constructions seemed until recently to not be present in nature in what follows we describe advances in the spectroscopy of mesons that are refining our understanding of the rules for building hadrons from qcd
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1,802.08132
Results of the first user program on the Homogenous Thermal Neutron Source HOTNES (ENEA / INFN)
The HOmogeneous Thermal NEutron Source (HOTNES) is a new type of thermal neutron irradiation assembly developed by the ENEA-INFN collaboration. The facility is fully characterized in terms of neutron field and dosimetric quantities, by either computational and experimental methods. This paper reports the results of the first "HOTNES users program", carried out in 2016, and covering a variety of thermal neutron active detectors such as scintillators, solid-state, single crystal diamond and gaseous detectors.
nucl-ex physics.ins-det
the homogeneous thermal neutron source hotnes is a new type of thermal neutron irradiation assembly developed by the eneainfn collaboration the facility is fully characterized in terms of neutron field and dosimetric quantities by either computational and experimental methods this paper reports the results of the first hotnes users program carried out in 2016 and covering a variety of thermal neutron active detectors such as scintillators solidstate single crystal diamond and gaseous detectors
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1,802.08133
Reducibility for wave equations of finitely smooth potential with periodic boundary conditions
In the present paper, the reducibility is derived for the wave equations with finitely smooth and time-quasi-periodic potential subjects to periodic boundary conditions. More exactly, the linear wave equation $u_{tt}-u_{xx}+Mu+\varepsilon (V_0(\omega t)u_{xx}+V(\omega t, x)u)=0,\;x\in \mathbb{R}/2\pi \mathbb{Z}$ can be reduced to a linear Hamiltonian system of a constant coefficient operator which is of pure imaginary point spectrum set, where $V$ is finitely smooth in $(t, x)$, quasi-periodic in time $t$ with Diophantine frequency $\omega\in \mathbb{R}^{n},$ and $V_0$ is finitely smooth and quasi-periodic in time $t$ with Diophantine frequency $\omega\in \mathbb{R}^{n},$ Moreover, it is proved that the corresponding wave operator possesses the property of pure point spectra and zero Lyapunov exponent.
math.DS
in the present paper the reducibility is derived for the wave equations with finitely smooth and timequasiperiodic potential subjects to periodic boundary conditions more exactly the linear wave equation u_ttu_xxmuvarepsilon v_0omega tu_xxvomega t xu0xin mathbbr2pi mathbbz can be reduced to a linear hamiltonian system of a constant coefficient operator which is of pure imaginary point spectrum set where v is finitely smooth in t x quasiperiodic in time t with diophantine frequency omegain mathbbrn and v_0 is finitely smooth and quasiperiodic in time t with diophantine frequency omegain mathbbrn moreover it is proved that the corresponding wave operator possesses the property of pure point spectra and zero lyapunov exponent
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1,802.08134
Multi-fluid approach to high-frequency waves in plasmas. III. Nonlinear regime and plasma heating
The multi-fluid modelling of high-frequency waves in partially ionized plasmas has shown that the behavior of magnetohydrodynamics waves in the linear regime is heavily influenced by the collisional interaction between the different species that form the plasma. Here, we go beyond linear theory and study large-amplitude waves in partially ionized plasmas using a nonlinear multi-fluid code. It is known that in fully ionized plasmas, nonlinear Alfv\'en waves generate density and pressure perturbations. Those nonlinear effects are more pronounced for standing oscillations than for propagating waves. By means of numerical simulations and analytical approximations, we examine how the collisional interaction between ions and neutrals affects the nonlinear evolution. The friction due to collisions dissipates a fraction of the wave energy, which is transformed into heat and consequently rises the temperature of the plasma. As an application, we investigate frictional heating in a plasma with physical conditions akin to those in a solar quiescent prominence.
astro-ph.SR physics.plasm-ph
the multifluid modelling of highfrequency waves in partially ionized plasmas has shown that the behavior of magnetohydrodynamics waves in the linear regime is heavily influenced by the collisional interaction between the different species that form the plasma here we go beyond linear theory and study largeamplitude waves in partially ionized plasmas using a nonlinear multifluid code it is known that in fully ionized plasmas nonlinear alfven waves generate density and pressure perturbations those nonlinear effects are more pronounced for standing oscillations than for propagating waves by means of numerical simulations and analytical approximations we examine how the collisional interaction between ions and neutrals affects the nonlinear evolution the friction due to collisions dissipates a fraction of the wave energy which is transformed into heat and consequently rises the temperature of the plasma as an application we investigate frictional heating in a plasma with physical conditions akin to those in a solar quiescent prominence
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1,802.08135
Optimal inventory management and order book modeling
We model the behavior of three agent classes acting dynamically in a limit order book of a financial asset. Namely, we consider market makers (MM), high-frequency trading (HFT) firms, and institutional brokers (IB). Given a prior dynamic of the order book, similar to the one considered in the Queue-Reactive models [14, 20, 21], the MM and the HFT define their trading strategy by optimizing the expected utility of terminal wealth, while the IB has a prescheduled task to sell or buy many shares of the considered asset. We derive the variational partial differential equations that characterize the value functions of the MM and HFT and explain how almost optimal control can be deduced from them. We then provide a first illustration of the interactions that can take place between these different market participants by simulating the dynamic of an order book in which each of them plays his own (optimal) strategy.
q-fin.TR math.PR
we model the behavior of three agent classes acting dynamically in a limit order book of a financial asset namely we consider market makers mm highfrequency trading hft firms and institutional brokers ib given a prior dynamic of the order book similar to the one considered in the queuereactive models 14 20 21 the mm and the hft define their trading strategy by optimizing the expected utility of terminal wealth while the ib has a prescheduled task to sell or buy many shares of the considered asset we derive the variational partial differential equations that characterize the value functions of the mm and hft and explain how almost optimal control can be deduced from them we then provide a first illustration of the interactions that can take place between these different market participants by simulating the dynamic of an order book in which each of them plays his own optimal strategy
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1,802.08136
High Seebeck coefficient and ultra-low lattice thermal conductivity in Cs2InAgCl6
The elastic, electronic and thermoelectric properties of indium-based double-perovskite halide, Cs2InAgCl6 have been studied by first principles study. The Cs2InAgCl6 is found to be elastically stable, ductile, anisotropic and relatively low hard material. The calculated direct bandgap 3.67 eV by TB-mBJ functional fairly agrees with the experimentally measured value 3.3 eV but PBE functional underestimates the bandgap by 1.483 eV. The relaxation time and lattice thermal conductivity have been calculated by using relaxation time approximation (RTA) within the supercell approach. The lattice thermal conductivity (\k{appa}l) is quite low (0.2 Wm-1K-1). The quite low phonon group velocity in the large weighted phase space, and high anharmonicity (large phonon scattering) are responsible for small \k{appa}l. The room temperature Seebeck coefficient is 199 {\mu}VK-1. Such high Seebeck coefficient arises from the combination of the flat conduction band and large bandgap. We obtain power factors at 300K by using PBE and TB-mBJ potentials are ~29 and ~31 mWm-1K-2, respectively and the corresponding thermoelectric figure of merit of Cs2BiAgCl6 are 0.71 and 0.72. However, the maximum ZT value obtained at 700K is ~0.74 by TB-mBJ potential. The obtained results implies that Cs2InAgCl6 is a promising material for thermoelectric device applications.
cond-mat.mtrl-sci
the elastic electronic and thermoelectric properties of indiumbased doubleperovskite halide cs2inagcl6 have been studied by first principles study the cs2inagcl6 is found to be elastically stable ductile anisotropic and relatively low hard material the calculated direct bandgap 367 ev by tbmbj functional fairly agrees with the experimentally measured value 33 ev but pbe functional underestimates the bandgap by 1483 ev the relaxation time and lattice thermal conductivity have been calculated by using relaxation time approximation rta within the supercell approach the lattice thermal conductivity kappal is quite low 02 wm1k1 the quite low phonon group velocity in the large weighted phase space and high anharmonicity large phonon scattering are responsible for small kappal the room temperature seebeck coefficient is 199 muvk1 such high seebeck coefficient arises from the combination of the flat conduction band and large bandgap we obtain power factors at 300k by using pbe and tbmbj potentials are 29 and 31 mwm1k2 respectively and the corresponding thermoelectric figure of merit of cs2biagcl6 are 071 and 072 however the maximum zt value obtained at 700k is 074 by tbmbj potential the obtained results implies that cs2inagcl6 is a promising material for thermoelectric device applications
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1,802.08137
Scaling limits of discrete snakes with stable branching
We consider so-called discrete snakes obtained from size-conditioned critical Bienaym\'e-Galton-Watson trees by assigning to each node a random spatial position in such a way that the increments along each edge are i.i.d. When the offspring distribution belongs to the domain of attraction of a stable law with index $\alpha \in (1,2]$, we give a necessary and sufficient condition on the tail distribution of the spatial increments for this spatial tree to converge, in a functional sense, towards the Brownian snake driven by the $\alpha$-stable L\'evy tree. We also study the case of heavier tails, and apply our result to study the number of inversions of a uniformly random permutation indexed by the tree.
math.PR
we consider socalled discrete snakes obtained from sizeconditioned critical bienaymegaltonwatson trees by assigning to each node a random spatial position in such a way that the increments along each edge are iid when the offspring distribution belongs to the domain of attraction of a stable law with index alpha in 12 we give a necessary and sufficient condition on the tail distribution of the spatial increments for this spatial tree to converge in a functional sense towards the brownian snake driven by the alphastable levy tree we also study the case of heavier tails and apply our result to study the number of inversions of a uniformly random permutation indexed by the tree
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1,802.08138
Reliable Intersection Control in Non-cooperative Environments
We propose a reliable intersection control mechanism for strategic autonomous and connected vehicles (agents) in non-cooperative environments. Each agent has access to his/her earliest possible and desired passing times, and reports a passing time to the intersection manager, who allocates the intersection temporally to the agents in a First-Come-First-Serve basis. However, the agents might have conflicting interests and can take actions strategically. To this end, we analyze the strategic behaviors of the agents and formulate Nash equilibria for all possible scenarios. Furthermore, among all Nash equilibria we identify a socially optimal equilibrium that leads to a fair intersection allocation, and correspondingly we describe a strategy-proof intersection mechanism, which achieves reliable intersection control such that the strategic agents do not have any incentive to misreport their passing times strategically.
cs.AI cs.GT cs.SY
we propose a reliable intersection control mechanism for strategic autonomous and connected vehicles agents in noncooperative environments each agent has access to hisher earliest possible and desired passing times and reports a passing time to the intersection manager who allocates the intersection temporally to the agents in a firstcomefirstserve basis however the agents might have conflicting interests and can take actions strategically to this end we analyze the strategic behaviors of the agents and formulate nash equilibria for all possible scenarios furthermore among all nash equilibria we identify a socially optimal equilibrium that leads to a fair intersection allocation and correspondingly we describe a strategyproof intersection mechanism which achieves reliable intersection control such that the strategic agents do not have any incentive to misreport their passing times strategically
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1,802.08139
Path-Specific Counterfactual Fairness
We consider the problem of learning fair decision systems in complex scenarios in which a sensitive attribute might affect the decision along both fair and unfair pathways. We introduce a causal approach to disregard effects along unfair pathways that simplifies and generalizes previous literature. Our method corrects observations adversely affected by the sensitive attribute, and uses these to form a decision. This avoids disregarding fair information, and does not require an often intractable computation of the path-specific effect. We leverage recent developments in deep learning and approximate inference to achieve a solution that is widely applicable to complex, non-linear scenarios.
stat.ML
we consider the problem of learning fair decision systems in complex scenarios in which a sensitive attribute might affect the decision along both fair and unfair pathways we introduce a causal approach to disregard effects along unfair pathways that simplifies and generalizes previous literature our method corrects observations adversely affected by the sensitive attribute and uses these to form a decision this avoids disregarding fair information and does not require an often intractable computation of the pathspecific effect we leverage recent developments in deep learning and approximate inference to achieve a solution that is widely applicable to complex nonlinear scenarios
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1,802.0814
Scale-Chiral Effective Field Theory for Nuclear Interactions in the Veneziano Limit
Following Golterman and Shamir, we develop scale-chiral perturbation theory in the large $N_c$ and large $N_f$ Veneziano limit that incorporates both light-quark baryons and hidden local symmetric bosons and derive a leading-order scale symmetry Lagrangian applicable in nuclear physics. Some applications in the medium-free space and baryonic matter are discussed.
nucl-th hep-ph
following golterman and shamir we develop scalechiral perturbation theory in the large n_c and large n_f veneziano limit that incorporates both lightquark baryons and hidden local symmetric bosons and derive a leadingorder scale symmetry lagrangian applicable in nuclear physics some applications in the mediumfree space and baryonic matter are discussed
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1,802.08141
Connecting KOSs and the LOD Cloud
This paper describes a specific project, the current situation leading to it, its project design and first results. In particular, we will examine the terminology employed in the Linked Open Data cloud and compare this to the terminology employed in both the Universal Decimal Classification and the Basic Concepts Classification. We will explore whether these classifications can encourage greater consistency in LOD terminology. We thus hope to link the largely distinct scholarly literatures that address LOD and KOSs.
cs.DL
this paper describes a specific project the current situation leading to it its project design and first results in particular we will examine the terminology employed in the linked open data cloud and compare this to the terminology employed in both the universal decimal classification and the basic concepts classification we will explore whether these classifications can encourage greater consistency in lod terminology we thus hope to link the largely distinct scholarly literatures that address lod and koss
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1,802.08142
Fractional Cassini Coordinates
Introducing a set $\{\alpha_i\} \in R$ of fractional exponential powers of focal distances an extension of symmetric Cassini-coordinates on the plane to the asymmetric case is proposed which leads to a new set of fractional generalized Cassini-coordinate systems. Orthogonality and classical limiting cases are derived. An extension to cylindrically symmetric systems in $R^3$ is investigated. The resulting asymmetric coordinate systems are well suited to solve corresponding two- and three center problems in physics.
physics.gen-ph
introducing a set alpha_i in r of fractional exponential powers of focal distances an extension of symmetric cassinicoordinates on the plane to the asymmetric case is proposed which leads to a new set of fractional generalized cassinicoordinate systems orthogonality and classical limiting cases are derived an extension to cylindrically symmetric systems in r3 is investigated the resulting asymmetric coordinate systems are well suited to solve corresponding two and three center problems in physics
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1,802.08143
Stability and Optimal Control of Switching PDE-Dynamical Systems
Selected results for the stability and optimal control of abstract switched systems in Banach and Hilbert space are reviewed. The dynamics are typically given in a piecewise sense by a family of nonlinearly perturbed evolutions of strongly continuous semigroups. Stability refers to characterizations of asymptotic decay of solutions that holds uniformly for certain classes of switching signals for time going to infinity. Optimal control refers to the minimization of costs associated to solutions by appropriately selecting switching signals. Selected numerical results verify and visualize some of the available theory.
math.OC math.AP math.DS
selected results for the stability and optimal control of abstract switched systems in banach and hilbert space are reviewed the dynamics are typically given in a piecewise sense by a family of nonlinearly perturbed evolutions of strongly continuous semigroups stability refers to characterizations of asymptotic decay of solutions that holds uniformly for certain classes of switching signals for time going to infinity optimal control refers to the minimization of costs associated to solutions by appropriately selecting switching signals selected numerical results verify and visualize some of the available theory
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1,802.08144
A note on friezes of type $\Lambda_p$
A frieze is an array of numbers obeying the unimodular rule. Coxeter showed that a frieze with integer entries corresponds to a triangulation. Recently, Holm and J{\o}rgenson introduced friezes of type $\Lambda_p$ which correspond to $p$-angulations of a polygon. In this paper we explore the connection between these two types of friezes; in particular we show that the friezes of type $\Lambda_p$ for $p=4$ and $p=6$ contain integral friezes within them. We also consider the relationships with Farey graphs.
math.CO
a frieze is an array of numbers obeying the unimodular rule coxeter showed that a frieze with integer entries corresponds to a triangulation recently holm and jorgenson introduced friezes of type lambda_p which correspond to pangulations of a polygon in this paper we explore the connection between these two types of friezes in particular we show that the friezes of type lambda_p for p4 and p6 contain integral friezes within them we also consider the relationships with farey graphs
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1,802.08145
Localisation of Soft Charges, and Thermodynamics of Softly Hairy Black Holes
Large gauge transformations (LGT) in asymptotically flat space are generated by charges defined at asymptotic infinity. No method for unambiguously localising these charges into the interior of spacetime has previously been established. We determine what this method must be, and use it to find localised expressions for the LGT charges. Applying the same principle to the case of a charged black hole spacetime leads to angle-dependent generalisations of the Smarr formula and the first law of black hole mechanics, both of which have important thermodynamical implications. In particular, the presence of a heat current intrinsic to the event horizon is observed.
hep-th gr-qc
large gauge transformations lgt in asymptotically flat space are generated by charges defined at asymptotic infinity no method for unambiguously localising these charges into the interior of spacetime has previously been established we determine what this method must be and use it to find localised expressions for the lgt charges applying the same principle to the case of a charged black hole spacetime leads to angledependent generalisations of the smarr formula and the first law of black hole mechanics both of which have important thermodynamical implications in particular the presence of a heat current intrinsic to the event horizon is observed
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1,802.08146
The global geometry of surfaces with prescribed mean curvature in $\mathbb{R}^3$
We develop a global theory for complete hypersurfaces in $\mathbb{R}^{n+1}$ whose mean curvature is given as a prescribed function of its Gauss map. This theory extends the usual one of constant mean curvature hypersurfaces in $\mathbb{R}^{n+1}$, and also that of self-translating solitons of the mean curvature flow. For the particular case $n=2$, we will obtain results regarding a priori height and curvature estimates, non-existence of complete stable surfaces, and classification of properly embedded surfaces with at most one end.
math.DG
we develop a global theory for complete hypersurfaces in mathbbrn1 whose mean curvature is given as a prescribed function of its gauss map this theory extends the usual one of constant mean curvature hypersurfaces in mathbbrn1 and also that of selftranslating solitons of the mean curvature flow for the particular case n2 we will obtain results regarding a priori height and curvature estimates nonexistence of complete stable surfaces and classification of properly embedded surfaces with at most one end
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1,802.08147
Models of affine curves and Ga-actions
Using the approach of Barkatou and El Kaoui, we classify certain affine curves over discrete valuation rings having a free additive group action. Our classification generalizes results of Miyanishi in equi-characteristic 0.
math.AG
using the approach of barkatou and el kaoui we classify certain affine curves over discrete valuation rings having a free additive group action our classification generalizes results of miyanishi in equicharacteristic 0
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1,802.08148
LIDIOMS: A Multilingual Linked Idioms Data Set
In this paper, we describe the LIDIOMS data set, a multilingual RDF representation of idioms currently containing five languages: English, German, Italian, Portuguese, and Russian. The data set is intended to support natural language processing applications by providing links between idioms across languages. The underlying data was crawled and integrated from various sources. To ensure the quality of the crawled data, all idioms were evaluated by at least two native speakers. Herein, we present the model devised for structuring the data. We also provide the details of linking LIDIOMS to well-known multilingual data sets such as BabelNet. The resulting data set complies with best practices according to Linguistic Linked Open Data Community.
cs.CL
in this paper we describe the lidioms data set a multilingual rdf representation of idioms currently containing five languages english german italian portuguese and russian the data set is intended to support natural language processing applications by providing links between idioms across languages the underlying data was crawled and integrated from various sources to ensure the quality of the crawled data all idioms were evaluated by at least two native speakers herein we present the model devised for structuring the data we also provide the details of linking lidioms to wellknown multilingual data sets such as babelnet the resulting data set complies with best practices according to linguistic linked open data community
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1,802.08149
An homogenization approach for the inverse spectral problem of periodic Schr\"odinger operators
We study the inverse spectral problem for periodic Schr\"odinger opera\-tors of kind $- \frac{1}{2} \hbar^2 \Delta_x + V(x)$ on the flat torus $\Bbb T^n := (\Bbb R / 2 \pi \Bbb Z)^n$ with potentials $V \in C^{\infty} (\Bbb T^n)$. We show that if two operators are isospectral for any $0 < \hbar \le 1$ then they have the same effective Hamiltonian given by the periodic homogenization of Hamilton-Jacobi equation. This result provides a necessary condition for the isospectrality of these Schr\"odinger operators. We also provide a link between our result and the spectral limit of quantum integrable systems.
math-ph math.MP
we study the inverse spectral problem for periodic schrodinger operators of kind frac12 hbar2 delta_x vx on the flat torus bbb tn bbb r 2 pi bbb zn with potentials v in cinfty bbb tn we show that if two operators are isospectral for any 0 hbar le 1 then they have the same effective hamiltonian given by the periodic homogenization of hamiltonjacobi equation this result provides a necessary condition for the isospectrality of these schrodinger operators we also provide a link between our result and the spectral limit of quantum integrable systems
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1,802.0815
RDF2PT: Generating Brazilian Portuguese Texts from RDF Data
The generation of natural language from Resource Description Framework (RDF) data has recently gained significant attention due to the continuous growth of Linked Data. A number of these approaches generate natural language in languages other than English, however, no work has been proposed to generate Brazilian Portuguese texts out of RDF. We address this research gap by presenting RDF2PT, an approach that verbalizes RDF data to Brazilian Portuguese language. We evaluated RDF2PT in an open questionnaire with 44 native speakers divided into experts and non-experts. Our results suggest that RDF2PT is able to generate text which is similar to that generated by humans and can hence be easily understood.
cs.CL
the generation of natural language from resource description framework rdf data has recently gained significant attention due to the continuous growth of linked data a number of these approaches generate natural language in languages other than english however no work has been proposed to generate brazilian portuguese texts out of rdf we address this research gap by presenting rdf2pt an approach that verbalizes rdf data to brazilian portuguese language we evaluated rdf2pt in an open questionnaire with 44 native speakers divided into experts and nonexperts our results suggest that rdf2pt is able to generate text which is similar to that generated by humans and can hence be easily understood
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1,802.08151
New Results on Finite-Time Stability: Geometric Conditions and Finite-Time Controllers
This paper presents novel controllers that yield finite-time stability for linear systems. We first present a sufficient condition for the origin of a scalar system to be finite-time stable. Then we present novel finite-time controllers based on vector fields and barrier functions to demonstrate the utility of this geometric condition. We also consider the general class of linear controllable systems, and present a continuous feedback control law to stabilize the system in finite time. Finally, we present simulation results for each of these cases, showing the efficacy of the designed control laws.
math.DS cs.SY
this paper presents novel controllers that yield finitetime stability for linear systems we first present a sufficient condition for the origin of a scalar system to be finitetime stable then we present novel finitetime controllers based on vector fields and barrier functions to demonstrate the utility of this geometric condition we also consider the general class of linear controllable systems and present a continuous feedback control law to stabilize the system in finite time finally we present simulation results for each of these cases showing the efficacy of the designed control laws
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1,802.08152
Room Temperature Intrinsic Ferromagnetism in Epitaxial Manganese Selenide Films in the Monolayer Limit
Monolayer van der Waals (vdW) magnets provide an exciting opportunity for exploring two-dimensional (2D) magnetism for scientific and technological advances, but the intrinsic ferromagnetism has only been observed at low temperatures. Here, we report the observation of room temperature ferromagnetism in manganese selenide (MnSe$_x$) films grown by molecular beam epitaxy (MBE). Magnetic and structural characterization provides strong evidence that in the monolayer limit, the ferromagnetism originates from a vdW manganese diselenide (MnSe$_2$) monolayer, while for thicker films it could originate from a combination of vdW MnSe$_2$ and/or interfacial magnetism of $\alpha$-MnSe(111). Magnetization measurements of monolayer MnSe$_x$ films on GaSe and SnSe$_2$ epilayers show ferromagnetic ordering with large saturation magnetization of ~ 4 Bohr magnetons per Mn, which is consistent with density functional theory calculations predicting ferromagnetism in monolayer 1T-MnSe$_2$. Growing MnSe$_x$ films on GaSe up to high thickness (~ 40 nm) produces $\alpha$-MnSe(111), and an enhanced magnetic moment (~ 2x) compared to the monolayer MnSe$_x$ samples. Detailed structural characterization by scanning transmission electron microscopy (STEM), scanning tunneling microscopy (STM), and reflection high energy electron diffraction (RHEED) reveal an abrupt and clean interface between GaSe(0001) and $\alpha$-MnSe(111). In particular, the structure measured by STEM is consistent with the presence of a MnSe$_2$ monolayer at the interface. These results hold promise for potential applications in energy efficient information storage and processing.
cond-mat.mtrl-sci cond-mat.mes-hall
monolayer van der waals vdw magnets provide an exciting opportunity for exploring twodimensional 2d magnetism for scientific and technological advances but the intrinsic ferromagnetism has only been observed at low temperatures here we report the observation of room temperature ferromagnetism in manganese selenide mnse_x films grown by molecular beam epitaxy mbe magnetic and structural characterization provides strong evidence that in the monolayer limit the ferromagnetism originates from a vdw manganese diselenide mnse_2 monolayer while for thicker films it could originate from a combination of vdw mnse_2 andor interfacial magnetism of alphamnse111 magnetization measurements of monolayer mnse_x films on gase and snse_2 epilayers show ferromagnetic ordering with large saturation magnetization of 4 bohr magnetons per mn which is consistent with density functional theory calculations predicting ferromagnetism in monolayer 1tmnse_2 growing mnse_x films on gase up to high thickness 40 nm produces alphamnse111 and an enhanced magnetic moment 2x compared to the monolayer mnse_x samples detailed structural characterization by scanning transmission electron microscopy stem scanning tunneling microscopy stm and reflection high energy electron diffraction rheed reveal an abrupt and clean interface between gase0001 and alphamnse111 in particular the structure measured by stem is consistent with the presence of a mnse_2 monolayer at the interface these results hold promise for potential applications in energy efficient information storage and processing
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1,802.08153
From Vectors to Geometric Algebra
Geometric algebra is the natural outgrowth of the concept of a vector and the addition of vectors. After reviewing the properties of the addition of vectors, a multiplication of vectors is introduced in such a way that it encodes the famous Pythagorean theorem. Synthetic proofs of theorems in Euclidean geometry can then be replaced by powerful algebraic proofs. Whereas we largely limit our attention to 2 and 3 dimensions, geometric algebra is applicable in any number of dimensions, and in both Euclidean and non-Euclidean geometries.
math.GM
geometric algebra is the natural outgrowth of the concept of a vector and the addition of vectors after reviewing the properties of the addition of vectors a multiplication of vectors is introduced in such a way that it encodes the famous pythagorean theorem synthetic proofs of theorems in euclidean geometry can then be replaced by powerful algebraic proofs whereas we largely limit our attention to 2 and 3 dimensions geometric algebra is applicable in any number of dimensions and in both euclidean and noneuclidean geometries
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1,802.08154
Sliding Bidirectional Recurrent Neural Networks for Sequence Detection in Communication Systems
The design and analysis of communication systems typically rely on the development of mathematical models that describe the underlying communication channel. However, in some systems, such as molecular communication systems where chemical signals are used for transfer of information, the underlying channel models are unknown. In these scenarios, a completely new approach to design and analysis is required. In this work, we focus on one important aspect of communication systems, the detection algorithms, and demonstrate that by using tools from deep learning, it is possible to train detectors that perform well without any knowledge of the underlying channel models. We propose a technique we call sliding bidirectional recurrent neural network (SBRNN) for real-time sequence detection. We evaluate this algorithm using experimental data that is collected by a chemical communication platform, where the channel model is unknown and difficult to model analytically. We show that deep learning algorithms perform significantly better than a detector proposed in previous works, and the SBRNN outperforms other techniques considered in this work.
eess.SP cs.IT cs.LG math.IT
the design and analysis of communication systems typically rely on the development of mathematical models that describe the underlying communication channel however in some systems such as molecular communication systems where chemical signals are used for transfer of information the underlying channel models are unknown in these scenarios a completely new approach to design and analysis is required in this work we focus on one important aspect of communication systems the detection algorithms and demonstrate that by using tools from deep learning it is possible to train detectors that perform well without any knowledge of the underlying channel models we propose a technique we call sliding bidirectional recurrent neural network sbrnn for realtime sequence detection we evaluate this algorithm using experimental data that is collected by a chemical communication platform where the channel model is unknown and difficult to model analytically we show that deep learning algorithms perform significantly better than a detector proposed in previous works and the sbrnn outperforms other techniques considered in this work
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1,802.08155
Topological Hochschild Homology of H(Z/p^k)
In this short note we study the topological Hoschschild homology of Eilenberg-MacLane spectra for finite cyclic groups. In particular, we show that the Eilenberg-MacLane spectrum H(Z/p^k) is a Thom spectrum for any prime p (except, possibly, when p=k=2) and we also compute its topological Hoschshild homology. This yields a short proof of the results obtained by Brun, and by Pirashvili except for the anomalous case p=k=2.
math.AT
in this short note we study the topological hoschschild homology of eilenbergmaclane spectra for finite cyclic groups in particular we show that the eilenbergmaclane spectrum hzpk is a thom spectrum for any prime p except possibly when pk2 and we also compute its topological hoschshild homology this yields a short proof of the results obtained by brun and by pirashvili except for the anomalous case pk2
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1,802.08156
Analysis of Fourier ptychographic microscopy with half of the captured images
Fourier ptychography microscopy (FPM) is a new computational imaging technique that can provide gigapixel images with both high resolution and a wide field of view (FOV). However, time consuming of the data-acquisition process is a critical issue. In this paper, we make an analysis on the FPM imaging system with half number of the captured images. Based on the image analysis of the conventional FPM system, we then compare the reconstructed images with different number of captured data. Simulation and experiment results show that the reconstructed image with half number captured data do not show obvious resolution degradation compared to that with all the captured data, except a contrast reduction. In particular in the case when the object is close to phase-only/amplitude only, the quality of the reconstructed image with half of the captured data is nearly as good as the one reconstructed with full data.
eess.IV physics.optics
fourier ptychography microscopy fpm is a new computational imaging technique that can provide gigapixel images with both high resolution and a wide field of view fov however time consuming of the dataacquisition process is a critical issue in this paper we make an analysis on the fpm imaging system with half number of the captured images based on the image analysis of the conventional fpm system we then compare the reconstructed images with different number of captured data simulation and experiment results show that the reconstructed image with half number captured data do not show obvious resolution degradation compared to that with all the captured data except a contrast reduction in particular in the case when the object is close to phaseonlyamplitude only the quality of the reconstructed image with half of the captured data is nearly as good as the one reconstructed with full data
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1,802.08157
High order time integrators for the simulation of charged particle motion in magnetic quadrupoles
Magnetic quadrupoles are essential components of particle accelerators like the Large Hadron Collider. In order to study numerically the stability of the particle beam crossing a quadrupole, a large number of particle revolutions in the accelerator must be simulated, thus leading to the necessity to preserve numerically invariants of motion over a long time interval and to a substantial computational cost, mostly related to the repeated evaluation of the magnetic vector potential. In this paper, in order to reduce this cost, we first consider a specific gauge transformation that allows to reduce significantly the number of vector potential evaluations. We then analyze the sensitivity of the numerical solution to the interpolation procedure required to compute magnetic vector potential data from gridded precomputed values at the locations required by high order time integration methods. Finally, we compare several high order integration techniques, in order to assess their accuracy and efficiency for these long term simulations. Explicit high order Lie methods are considered, along with implicit high order symplectic integrators and conventional explicit Runge Kutta methods. Among symplectic methods, high order Lie integrators yield optimal results in terms of cost/accuracy ratios, but non symplectic Runge Kutta methods perform remarkably well even in very long term simulations. Furthermore, the accuracy of the field reconstruction and interpolation techniques are shown to be limiting factors for the accuracy of the particle tracking procedures.
cs.CE cs.NA physics.acc-ph
magnetic quadrupoles are essential components of particle accelerators like the large hadron collider in order to study numerically the stability of the particle beam crossing a quadrupole a large number of particle revolutions in the accelerator must be simulated thus leading to the necessity to preserve numerically invariants of motion over a long time interval and to a substantial computational cost mostly related to the repeated evaluation of the magnetic vector potential in this paper in order to reduce this cost we first consider a specific gauge transformation that allows to reduce significantly the number of vector potential evaluations we then analyze the sensitivity of the numerical solution to the interpolation procedure required to compute magnetic vector potential data from gridded precomputed values at the locations required by high order time integration methods finally we compare several high order integration techniques in order to assess their accuracy and efficiency for these long term simulations explicit high order lie methods are considered along with implicit high order symplectic integrators and conventional explicit runge kutta methods among symplectic methods high order lie integrators yield optimal results in terms of costaccuracy ratios but non symplectic runge kutta methods perform remarkably well even in very long term simulations furthermore the accuracy of the field reconstruction and interpolation techniques are shown to be limiting factors for the accuracy of the particle tracking procedures
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1,802.08158
Design of a 5 GeV Laser Plasma Accelerating Module in the Quasi-linear Regime
Multi-GeV-class laser plasma accelerating modules are key components of laser plasma accelerators, because they can be used as a booster of an upstream plasma or conventional injector or as modular acceleration sections of a multi-staged high energy plasma linac. Such a plasma module, operating in the quasi-linear regime, has been designed for the 5 GeV laser plasma accelerator stage (LPAS) of the EuPRAXIA project. The laser pulse ($\sim$150 TW, $\sim$ 15 J) is quasi-matched into a plasma channel ($n_{\rm p} = 1.5\times 10^{17}$ cm$^{-3}$, $L\sim$ 30 cm) and the bi-Gaussian electron beam is externally injected into the wakefield. The beam emittance is preserved through the acceleration by matching the beam size to the transverse focusing fields. And a final energy spread of $<$1\% has been achieved by optimizing the beam loading effect. Several methods have been proposed to reduce the slice energy spread and are found to be effective. The simulations were conducted with the 3D PIC code Warp in the Lorentz boosted frame.
physics.acc-ph
multigevclass laser plasma accelerating modules are key components of laser plasma accelerators because they can be used as a booster of an upstream plasma or conventional injector or as modular acceleration sections of a multistaged high energy plasma linac such a plasma module operating in the quasilinear regime has been designed for the 5 gev laser plasma accelerator stage lpas of the eupraxia project the laser pulse sim150 tw sim 15 j is quasimatched into a plasma channel n_rm p 15times 1017 cm3 lsim 30 cm and the bigaussian electron beam is externally injected into the wakefield the beam emittance is preserved through the acceleration by matching the beam size to the transverse focusing fields and a final energy spread of 1 has been achieved by optimizing the beam loading effect several methods have been proposed to reduce the slice energy spread and are found to be effective the simulations were conducted with the 3d pic code warp in the lorentz boosted frame
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1,802.08159
Collaboratively Learning the Best Option, Using Bounded Memory
We consider multi-armed bandit problems in social groups wherein each individual has bounded memory and shares the common goal of learning the best arm/option. We say an individual learns the best option if eventually (as $t \to \infty$) it pulls only the arm with the highest average reward. While this goal is provably impossible for an isolated individual, we show that, in social groups, this goal can be achieved easily with the aid of social persuasion, i.e., communication. Specifically, we study the learning dynamics wherein an individual sequentially decides on which arm to pull next based on not only its private reward feedback but also the suggestions provided by randomly chosen peers. Our learning dynamics are hard to analyze via explicit probabilistic calculations due to the stochastic dependency induced by social interaction. Instead, we employ the mean-field approximation method from statistical physics and we show: (1) With probability $\to 1$ as the social group size $N \to \infty $, every individual in the social group learns the best option. (2) Over an arbitrary finite time horizon $[0, T]$, with high probability (in $N$), the fraction of individuals that prefer the best option grows to 1 exponentially fast as $t$ increases ($t\in [0, T]$). A major innovation of our mean-filed analysis is a simple yet powerful technique to deal with absorbing states in the interchange of limits $N \to \infty$ and $t \to \infty $. The mean-field approximation method allows us to approximate the probabilistic sample paths of our learning dynamics by a deterministic and smooth trajectory that corresponds to the unique solution of a well-behaved system of ordinary differential equations (ODEs). Such an approximation is desired because the analysis of a system of ODEs is relatively easier than that of the original stochastic system.
cs.LG cs.DC
we consider multiarmed bandit problems in social groups wherein each individual has bounded memory and shares the common goal of learning the best armoption we say an individual learns the best option if eventually as t to infty it pulls only the arm with the highest average reward while this goal is provably impossible for an isolated individual we show that in social groups this goal can be achieved easily with the aid of social persuasion ie communication specifically we study the learning dynamics wherein an individual sequentially decides on which arm to pull next based on not only its private reward feedback but also the suggestions provided by randomly chosen peers our learning dynamics are hard to analyze via explicit probabilistic calculations due to the stochastic dependency induced by social interaction instead we employ the meanfield approximation method from statistical physics and we show 1 with probability to 1 as the social group size n to infty every individual in the social group learns the best option 2 over an arbitrary finite time horizon 0 t with high probability in n the fraction of individuals that prefer the best option grows to 1 exponentially fast as t increases tin 0 t a major innovation of our meanfiled analysis is a simple yet powerful technique to deal with absorbing states in the interchange of limits n to infty and t to infty the meanfield approximation method allows us to approximate the probabilistic sample paths of our learning dynamics by a deterministic and smooth trajectory that corresponds to the unique solution of a wellbehaved system of ordinary differential equations odes such an approximation is desired because the analysis of a system of odes is relatively easier than that of the original stochastic system
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