139,653 research outputs found
Multi-patch discontinuous Galerkin isogeometric analysis for wave propagation: explicit time-stepping and efficient mass matrix inversion
We present a class of spline finite element methods for time-domain wave
propagation which are particularly amenable to explicit time-stepping. The
proposed methods utilize a discontinuous Galerkin discretization to enforce
continuity of the solution field across geometric patches in a multi-patch
setting, which yields a mass matrix with convenient block diagonal structure.
Over each patch, we show how to accurately and efficiently invert mass matrices
in the presence of curved geometries by using a weight-adjusted approximation
of the mass matrix inverse. This approximation restores a tensor product
structure while retaining provable high order accuracy and semi-discrete energy
stability. We also estimate the maximum stable timestep for spline-based finite
elements and show that the use of spline spaces result in less stringent CFL
restrictions than equivalent piecewise continuous or discontinuous finite
element spaces. Finally, we explore the use of optimal knot vectors based on L2
n-widths. We show how the use of optimal knot vectors can improve both
approximation properties and the maximum stable timestep, and present a simple
heuristic method for approximating optimal knot positions. Numerical
experiments confirm the accuracy and stability of the proposed methods
Emergence of Gapped Bulk and Metallic Side Walls in the Zeroth Landau level in Dirac and Weyl semimetals
Recent transport experiments have revealed the activation of longitudinal
magnetoresistance of Weyl semimetals in the quantum limit, suggesting the
breakdown of chiral anomaly in a strong magnetic field. Here we provide a
general mechanism for gapping the zeroth chiral Landau levels applicable for
both Dirac and Weyl semimetals. Our result shows that the zeroth Landau levels
anticross when the magnetic axis is perpendicular to the Dirac/Weyl node
separation and when the inverse magnetic length is comparable to the
node separation scale . The induced bulk gap increases rapidly beyond
a threshold field in Weyl semimetals, but has no threshold and is non-monotonic
in Dirac systems due to the crossover between and
regions. We also find that the Dirac and possibly Weyl
systems host counterpropagating edge states between the zeroth Landau levels,
leading to a state with metallic side walls and zero Hall conductance.Comment: 8 pages, 4 figure
Orthogonal Polynomials in Mathematical Physics
This is a review of (-)hypergeometric orthogonal polynomials and their
relation to representation theory of quantum groups, to matrix models, to
integrable theory, and to knot theory. We discuss both continuous and discrete
orthogonal polynomials and consider their various generalizations. The review
also includes the orthogonal polynomials into a generic framework of
(-)hypergeometric functions and their integral representations. In
particular, this gives rise to relations with conformal blocks of the Virasoro
algebra.Comment: 46 page
The stochastic reflection problem on an infinite dimensional convex set and BV functions in a Gelfand triple
In this paper, we introduce a definition of BV functions in a Gelfand triple
which is an extension of the definition of BV functions in [2] by using
Dirichlet form theory. By this definition, we can consider the stochastic
reflection problem associated with a self-adjoint operator and a
cylindrical Wiener process on a convex set in a Hilbert space . We
prove the existence and uniqueness of a strong solution of this problem when
is a regular convex set. The result is also extended to the
non-symmetric case. Finally, we extend our results to the case when
, where
Identity, environment and mental wellbeing in the veterinary profession
Mental health and career dissatisfaction are of increasing concern to the veterinary profession. The influence of identity on the psychological wellbeing of veterinarians has not been widely explored. Twelve recent veterinary graduates were enrolled in a private social media discussion group, and their identities investigated through narrative inquiry: a methodology which enables identity priorities to be extrapolated from stories of experience. Two distinct variants of the veterinary identity were identified: an academic, ‘diagnosis-focused’ identity, which prioritised definitive diagnosis and best-evidence treatment; and a broader ‘challenge-focused’ identity, where priorities additionally included engaging with the client, challenging environment or veterinary business. Contextual challenges (such as a client with limited finances or difficult interpersonal interactions) were seen as a source of frustration for those with a diagnosis-focused identity, as they obstructed the realisation of identity goals. Overcoming these challenges provided satisfaction to those with a challenge-focused identity. The employment environment of the graduates (general veterinary practice) provided more opportunities for those with a challenge-focused identity to realise identity goals, and more markers of emotional wellbeing were apparent in their stories. Markers of poor emotional health were evident in the stories of those with a diagnosis-focused identity
Estimation of fractal dimension for a class of Non-Gaussian stationary processes and fields
We present the asymptotic distribution theory for a class of increment-based
estimators of the fractal dimension of a random field of the form g{X(t)},
where g:R\to R is an unknown smooth function and X(t) is a real-valued
stationary Gaussian field on R^d, d=1 or 2, whose covariance function obeys a
power law at the origin. The relevant theoretical framework here is ``fixed
domain'' (or ``infill'') asymptotics. Surprisingly, the limit theory in this
non-Gaussian case is somewhat richer than in the Gaussian case (the latter is
recovered when g is affine), in part because estimators of the type considered
may have an asymptotic variance which is random in the limit. Broadly, when g
is smooth and nonaffine, three types of limit distributions can arise, types
(i), (ii) and (iii), say. Each type can be represented as a random integral.
More specifically, type (i) can be represented as the integral of a certain
random function with respect to Lebesgue measure; type (ii) can be represented
as the integral of a second random functio
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