Related Experiment Video
Updated: Jul 15, 2025

05:39
Generating Strictly Controlled Stimuli for Figure Recognition Experiments
Published on: March 18, 2019
5.3K
Ultradifferentiable classes of entire functions.
David Nicolas Nenning1, Gerhard Schindl1
1Fakultät für Mathematik, Universität Wien, Oskar-Morgenstern-Platz 1, 1090 Vienna, Austria.
Summary
This study explores ultradifferentiable functions using specific weight sequences. These functions are linked to weighted spaces of entire functions and operator boundedness on Hilbert spaces.
Area of Science:
- Analysis
- Functional Analysis
- Harmonic Analysis
Background:
- Ultradifferentiable functions are crucial in analysis.
- Standard growth and regularity requirements are often violated in certain function classes.
- Weight sequences play a key role in defining function spaces.
Purpose of the Study:
- To investigate ultradifferentiable function classes defined by small weight sequences.
- To establish connections between these classes and weighted spaces of entire functions.
- To generalize existing results and explore applications in operator theory.
Main Methods:
- Analysis of function classes defined by weight sequences.
- Utilizing associated weight functions and conjugate weight sequences.
- Generalizing results from the small Gevrey setting.
- Applying function classes to study operator boundedness on Hilbert spaces.
Main Results:
- Demonstrated that ultradifferentiable function classes can be viewed as weighted spaces of entire functions.
- Generalized results from the small Gevrey setting to arbitrary convenient families of sequences.
- Showed the applicability of these function classes in detecting boundedness of normal linear operators on Hilbert spaces.
Conclusions:
- The study provides a novel perspective on ultradifferentiable functions via weight sequences.
- Established a link between small sequences and dual sequences, broadening the theoretical framework.
- The findings have implications for understanding operator behavior in evolution equation problems.
Related Concept Videos
Basic Continuous Time Signals
226
Basic continuous-time signals include the unit step function, unit impulse function, and unit ramp function, collectively referred to as singularity functions. Singularity functions are characterized by discontinuities or discontinuous derivatives.
The unit step function, denoted u(t), is zero for negative time values and one for positive time values, exhibiting a discontinuity at t=0. This function often represents abrupt changes, such as the step voltage introduced when turning a car's...
The unit step function, denoted u(t), is zero for negative time values and one for positive time values, exhibiting a discontinuity at t=0. This function often represents abrupt changes, such as the step voltage introduced when turning a car's...
226
Forced Transdifferentiation
1.9K
Transdifferentiation, also known as lineage reprogramming, was first discovered by Selman and Kafatos in 1974 in silkmoths. They observed that the moths’ cuticle-producing cells transformed into salt-producing cells. Many such cases of natural transdifferentiation occur in organisms. In humans, pancreatic alpha cells can become beta cells. In newts, the loss of the eye’s lens causes the pigmented epithelial cells to transdifferentiate into the lens cells.
Artificial...
Artificial...
1.9K
Even and Odd Signals
891
An even signal, whether in continuous-time or discrete-time, is defined by its symmetry with its time-reversed version. Mathematically, this is represented as
891
Routh-Hurwitz Criterion II
279
In the application of the Routh-Hurwitz criterion, two specific scenarios can arise that complicate stability analysis.
The first scenario occurs when a singular zero appears in the first column of the Routh table. This situation creates a division by zero issues. To resolve this, a small positive or negative number, denoted as epsilon (∈), is substituted for the zero. The stability analysis proceeds by assuming a sign for ∈. If ∈ is positive, any sign change in the first...
The first scenario occurs when a singular zero appears in the first column of the Routh table. This situation creates a division by zero issues. To resolve this, a small positive or negative number, denoted as epsilon (∈), is substituted for the zero. The stability analysis proceeds by assuming a sign for ∈. If ∈ is positive, any sign change in the first...
279
Second Derivatives and Laplace Operator
1.3K
The first order operators using the del operator include the gradient, divergence and curl. Certain combinations of first order operators on a scalar or vector function yield second order expressions. Second-order expressions play a very important role in mathematics and physics. Some second order expressions include the divergence and curl of a gradient function, the divergence and curl of a curl function, and the gradient of a divergence function.
Consider a scalar function. The curl of its...
Consider a scalar function. The curl of its...
1.3K
Properties of Fourier series II
175
Time scaling of signals is a crucial concept in signal processing that affects the Fourier series representation without altering its coefficients. The process modifies the fundamental frequency, thereby changing how the series represents the signal over time. This principle is essential in various applications, including audio and image processing, where signal manipulation is frequent. Understanding function symmetries is fundamental to simplifying the Fourier series.
A function f(t) is...
A function f(t) is...
175

