297,536 research outputs found
Generic existence of a nonempty compact set of fixed points
AbstractLet X be a complete metric space, M a set of continuous mappings from X into itself, endowed with a metric topology finer than the compact-open topology. Assuming that there exists a dense subset N contained in M such that for every mapping T in N the set {x Ďľ X: Tx = x} is nonempty, it is proved that most mappings (in the Baire category sense) in M do have a nonempty compact set of fixed points. Some applications to Îą-nonexpansive operators, semiaccretive operators and differential equations in Banach spaces are derived
Continuous Curvelet Transform: I. Resolution of the Wavefront Set
We discuss a Continuous Curvelet Transform (CCT), a transform f â Îf (a, b, θ) of functions f(x1, x2) on R^2, into a transform domain with continuous scale a > 0, location b â R^2, and orientation θ â [0, 2Ď). The transform is defined by Îf (a, b, θ) = {f, Îłabθ} where
the inner products project f onto analyzing elements called curvelets Îł_(abθ) which are smooth and of rapid decay away from an a by âa rectangle with minor axis pointing in direction θ. We call them curvelets because this anisotropic behavior allows them to âtrackâ the
behavior of singularities along curves. They are continuum scale/space/orientation analogs of the discrete frame of curvelets discussed in Candès and Donoho (2002).
We use the CCT to analyze several objects having singularities at points, along lines, and along smooth curves. These examples show that for fixed (x0, θ0), Îf (a, x0, θ0) decays rapidly as a â 0 if f is smooth near x0, or if the singularity of f at x0 is oriented in a different direction than θ_0. Generalizing these examples, we state general theorems showing that decay properties of
Îf (a, x0, θ0) for fixed (x0, θ0), as a â 0 can precisely identify the wavefront set and the H^m- wavefront set of a distribution. In effect, the wavefront set of a distribution is the closure of the set of (x0, θ0) near which Îf (a, x, θ) is not of rapid decay as a â 0; the H^m-wavefront set is the closure of those points (x0, θ0) where the âdirectional parabolic square functionâ
S^m(x, θ) = ( Ę|Îf (a, x, θ)|^2 ^(da) _a^3+^(2m))^(1/2)
is not locally integrable. The CCT is closely related to a continuous transform used by Hart Smith in his study
of Fourier Integral Operators. Smithâs transform is based on strict affine parabolic scaling of a single mother wavelet, while for the transform we discuss, the generating wavelet changes (slightly) scale by scale. The CCT can also be compared to the FBI (Fourier-Bros-Iagolnitzer) and Wave Packets (Cordoba-Fefferman) transforms. We describe their
similarities and differences in resolving the wavefront set
Transport in reservoir computing
Reservoir computing systems are constructed using a driven dynamical system
in which external inputs can alter the evolving states of a system. These
paradigms are used in information processing, machine learning, and
computation. A fundamental question that needs to be addressed in this
framework is the statistical relationship between the input and the system
states. This paper provides conditions that guarantee the existence and
uniqueness of asymptotically invariant measures for driven systems and shows
that their dependence on the input process is continuous when the set of input
and output processes are endowed with the Wasserstein distance. The main tool
in these developments is the characterization of those invariant measures as
fixed points of naturally defined Foias operators that appear in this context
and which have been profusely studied in the paper. Those fixed points are
obtained by imposing a newly introduced stochastic state contractivity on the
driven system that is readily verifiable in examples. Stochastic state
contractivity can be satisfied by systems that are not state-contractive, which
is a need typically evoked to guarantee the echo state property in reservoir
computing. As a result, it may actually be satisfied even if the echo state
property is not present.Comment: 33 pages, 5 figure
Random fixed point theorems under mild continuity assumptions
In this paper, we study the existence of the random fixed points under mild
continuity assumptions. The main theorems consider the almost lower
semicontinuous operators defined on Frechet spaces and also operators having
properties weaker than lower semicontinuity. Our results either extend or
improve corresponding ones present in literature.Comment: 15 page
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