368,718 research outputs found
Against Extrinsic Dispositions
McKitrick (2003) proposes that an object has a disposition if and only if there are a manifestation, the circumstances of the manifestation, a counterfactual true of the object, and an overtly dispositional locution referring to the disposition. A disposition is extrinsic if and only if an object has it, but a perfect duplicate of the object might not have it. I present an alternative definition that an object has a disposition if and only if a counterfactual is true of the object that under a certain condition, it would interact with another object in a certain manner. There are three reasons for thinking that my definition is better than her definition. 1. Ockhamâs razor favors my definition over McKitrickâs definition. My definition is consistent, while her definition is not, with Lewisâs and her definitions of intrinsic and extrinsic properties. 3. My definition goes well, while her definition does not, with our intuition that an object has a disposition even in a possible world where there is nothing but that object
Extrinsic hyperspheres in manifolds with special holonomy
We describe extrinsic hyperspheres and totally geodesic hypersurfaces in
manifolds with special holonomy. In particular we prove the nonexistence of
extrinsic hyperspheres in quaternion-Kaehler manifolds. We develop a new
approach to extrinsic hyperspheres based on the classification of special
Killing forms.Comment: published versio
Extrinsic local regression on manifold-valued data
We propose an extrinsic regression framework for modeling data with manifold
valued responses and Euclidean predictors. Regression with manifold responses
has wide applications in shape analysis, neuroscience, medical imaging and many
other areas. Our approach embeds the manifold where the responses lie onto a
higher dimensional Euclidean space, obtains a local regression estimate in that
space, and then projects this estimate back onto the image of the manifold.
Outside the regression setting both intrinsic and extrinsic approaches have
been proposed for modeling i.i.d manifold-valued data. However, to our
knowledge our work is the first to take an extrinsic approach to the regression
problem. The proposed extrinsic regression framework is general,
computationally efficient and theoretically appealing. Asymptotic distributions
and convergence rates of the extrinsic regression estimates are derived and a
large class of examples are considered indicating the wide applicability of our
approach
Extrinsic Curvature Embedding Diagrams
Embedding diagrams have been used extensively to visualize the properties of
curved space in Relativity. We introduce a new kind of embedding diagram based
on the {\it extrinsic} curvature (instead of the intrinsic curvature). Such an
extrinsic curvature embedding diagram, when used together with the usual kind
of intrinsic curvature embedding diagram, carries the information of how a
surface is {\it embedded} in the higher dimensional curved space. Simple
examples are given to illustrate the idea.Comment: 22 pages, 4 figure
Extrinsic CPT Violation in Neutrino Oscillations
In this talk, we investigate extrinsic CPT violation in neutrino oscillations
in matter with three flavors. Note that extrinsic CPT violation is different
from intrinsic CPT violation. Extrinsic CPT violation is one way of quantifying
matter effects, whereas intrinsic CPT violation would mean that the CPT
invariance theorem is not valid. We present analytical formulas for the
extrinsic CPT probability differences and discuss their implications for
long-baseline experiments and neutrino factory setups.Comment: 4 pages, 1 figure, aipproc LaTeX. Talk presented at the 5th
International Workshop on Neutrino Factories & Superbeams (NuFact'03),
Columbia University, New York, USA, June 5-11, 2003. To be published in the
Proceedings of NuFact'03 (AIP Conference Proceedings
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