847 research outputs found
Negative index of refraction, perfect lenses and transformation optics -- some words of caution
In this paper we show that a negative index of refraction is not a direct
implication of transformation optics with orientation-reversing
diffeomorphisms. Rather a negative index appears due to a specific choice of
sign freedom. Furthermore, we point out that the transformation designed lens,
which relies on the concept of spacetime folding, does not amplify evanescent
modes, in contrast to the Pendry-Veselago lens. Instead, evanescent modes at
the image point are produced by a duplicated source and thus no imaging of the
near field (perfect lensing) takes place.Comment: 13 pages, 3 figures, LaTe
Light propagation in local and linear media: Fresnel-Kummer wave surfaces with 16 singular points
It is known that the Fresnel wave surfaces of transparent biaxial media have
4 singular points, located on two special directions. We show that, in more
general media, the number of singularities can exceed 4. In fact, a highly
symmetric linear material is proposed whose Fresnel surface exhibits 16
singular points. Because, for every linear material, the dispersion equation is
quartic, we conclude that 16 is the maximum number of isolated singularities.
The identity of Fresnel and Kummer surfaces, which holds true for media with a
certain symmetry (zero skewon piece), provides an elegant interpretation of the
results. We describe a metamaterial realization for our linear medium with 16
singular points. It is found that an appropriate combination of metal bars,
split-ring resonators, and magnetized particles can generate the correct
permittivity, permeability, and magnetoelectric moduli. Lastly, we discuss the
arrangement of the singularities in terms of Kummer's (16,6)-configuration of
points and planes. An investigation parallel to ours, but in linear elasticity,
is suggested for future research.Comment: 7 pages, 3 figure
The Kummer tensor density in electrodynamics and in gravity
Guided by results in the premetric electrodynamics of local and linear media,
we introduce on 4-dimensional spacetime the new abstract notion of a Kummer
tensor density of rank four, . This tensor density is, by
definition, a cubic algebraic functional of a tensor density of rank four
, which is antisymmetric in its first two and its last two
indices: . Thus,
, see Eq.(46). (i) If is identified with the
electromagnetic response tensor of local and linear media, the Kummer tensor
density encompasses the generalized {\it Fresnel wave surfaces} for propagating
light. In the reversible case, the wave surfaces turn out to be {\it Kummer
surfaces} as defined in algebraic geometry (Bateman 1910). (ii) If is
identified with the {\it curvature} tensor of a Riemann-Cartan
spacetime, then and, in the special case of general
relativity, reduces to the Kummer tensor of Zund (1969). This is related to the {\it principal null directions} of the curvature. We
discuss the properties of the general Kummer tensor density. In particular, we
decompose irreducibly under the 4-dimensional linear group
and, subsequently, under the Lorentz group .Comment: 54 pages, 6 figures, written in LaTex; improved version in accordance
with the referee repor
Comment on: Reply to comment on `Perfect imaging without negative refraction'
Whether or not perfect imaging is obtained in the mirrored version of
Maxwell's fisheye lens is debated in the comment/reply sequence
[Blaikie-2010njp, Leonhardt-2010njp] discussing Leonhardt's original paper
[Leonhardt-2009njp]. Here we show that causal solutions can be obtained without
the need for an "active localized drain", contrary to the claims in
[Leonhardt-2010njp].Comment: v2 (added MEEP ctl file), v3 (publisher statement
Infinitely wide limits for deep Stable neural networks: sub-linear, linear and super-linear activation functions
There is a growing literature on the study of large-width properties of deep
Gaussian neural networks (NNs), i.e. deep NNs with Gaussian-distributed
parameters or weights, and Gaussian stochastic processes. Motivated by some
empirical and theoretical studies showing the potential of replacing Gaussian
distributions with Stable distributions, namely distributions with heavy tails,
in this paper we investigate large-width properties of deep Stable NNs, i.e.
deep NNs with Stable-distributed parameters. For sub-linear activation
functions, a recent work has characterized the infinitely wide limit of a
suitable rescaled deep Stable NN in terms of a Stable stochastic process, both
under the assumption of a ``joint growth" and under the assumption of a
``sequential growth" of the width over the NN's layers. Here, assuming a
``sequential growth" of the width, we extend such a characterization to a
general class of activation functions, which includes sub-linear,
asymptotically linear and super-linear functions. As a novelty with respect to
previous works, our results rely on the use of a generalized central limit
theorem for heavy tails distributions, which allows for an interesting unified
treatment of infinitely wide limits for deep Stable NNs. Our study shows that
the scaling of Stable NNs and the stability of their infinitely wide limits may
depend on the choice of the activation function, bringing out a critical
difference with respect to the Gaussian setting.Comment: 20 pages, 2 figure
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