Jove
Visualize
Contact Us

Related Concept Videos

Linear Approximation in Frequency Domain01:26

Linear Approximation in Frequency Domain

246
Linear systems are characterized by two main properties: superposition and homogeneity. Superposition allows the response to multiple inputs to be the sum of the responses to each individual input. Homogeneity ensures that scaling an input by a scalar results in the response being scaled by the same scalar.
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear....
246
Introduction to Nonlinear Inequalities01:25

Introduction to Nonlinear Inequalities

68
Linear and nonlinear inequalities are fundamental for analyzing variable relationships and identifying ranges satisfying specific conditions. A linear inequality involves variables raised only to the first power, resulting in a straight-line graph. This line partitions the coordinate plane into two distinct regions: one that satisfies the inequality and one that does not. Each region represents a set of solutions where the linear relationship holds true under the specified constraint.Nonlinear...
68
Application of Nonlinear Inequalities01:29

Application of Nonlinear Inequalities

73
A nonlinear inequality describes a comparison involving an expression that curves or behaves more complexly than a straight line. These inequalities often appear in forms that include squares, products, or variables in the denominator.To solve such an inequality, one starts by rewriting it so that zero appears on one side. For example, the inequality:  can be factored as: This form makes it easier to identify the values that cause the expression to equal zero. In this case, the key values...
73
Types of Functions III01:28

Types of Functions III

76
Logarithmic and piecewise functions play central roles in mathematical modeling, particularly when capturing nonlinear or segmented behaviors in real-world phenomena. Although these functions differ fundamentally in structure and application, both serve to represent complex relationships in simplified mathematical terms.A logarithmic function is defined as the inverse of an exponential function, expressed as These functions grow quickly for small values of x but slow down as x increases,...
76
Transformations of Functions III01:20

Transformations of Functions III

55
Transformations modify the graphical representation of a function without changing its fundamental form. One common transformation is reflection, which flips the graph across a designated axis. When the vertical coordinates of all points are multiplied by the negative one, the entire graph is mirrored over the horizontal axis. This transformation reverses the vertical orientation of peaks and troughs, akin to signal inversion in electrical systems, where a waveform is flipped, but the timing of...
55
Transformations of Functions II01:29

Transformations of Functions II

53
Transformations in mathematics alter the position or orientation of a function’s graph while preserving its fundamental shape. One important type of transformation is the horizontal shift, which involves modifying the input variable within a function’s equation. This operation affects where outputs occur along the horizontal axis but does not alter the function’s overall structure.A horizontal shift is achieved by replacing the input variable x with either x + c or x - c,...
53

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A nonlinear theory of distributional geometry.

Proceedings. Mathematical, physical, and engineering sciences·2021
Same author

On the space of Laplace transformable distributions.

Revista de la Real Academia de Ciencias Exactas, Fisicas y Naturales. Serie A, Matematicas·2020
Same author

Colombeau algebras without asymptotics.

Journal of pseudo-differential operators and applications·2019
See all related articles
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: Nov 22, 2025

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
13:44

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Published on: August 30, 2013

43.3K

Nonlinear generalized functions on manifolds.

E A Nigsch1, J A Vickers2

  • 1Institute of Analysis and Scientific Computing, TU Wien, 1040 Vienna, Austria.

Proceedings. Mathematical, Physical, and Engineering Sciences
|January 7, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a novel theory for generalized functions on manifolds using smoothing operators, extending concepts like the Lie derivative for differential geometry applications. It enables covariant derivatives for generalized scalar fields, paving the way for distributional geometry.

Keywords:
Colombeau algebradiffeomorphism invariantnonlinear generalized functions

More Related Videos

Generation and Coherent Control of Pulsed Quantum Frequency Combs
06:42

Generation and Coherent Control of Pulsed Quantum Frequency Combs

Published on: June 8, 2018

9.4K
An Experimental Protocol for Assessing the Performance of New Ultrasound Probes Based on CMUT Technology in Application to Brain Imaging
16:01

An Experimental Protocol for Assessing the Performance of New Ultrasound Probes Based on CMUT Technology in Application to Brain Imaging

Published on: September 24, 2017

10.7K

Related Experiment Videos

Last Updated: Nov 22, 2025

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
13:44

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Published on: August 30, 2013

43.3K
Generation and Coherent Control of Pulsed Quantum Frequency Combs
06:42

Generation and Coherent Control of Pulsed Quantum Frequency Combs

Published on: June 8, 2018

9.4K
An Experimental Protocol for Assessing the Performance of New Ultrasound Probes Based on CMUT Technology in Application to Brain Imaging
16:01

An Experimental Protocol for Assessing the Performance of New Ultrasound Probes Based on CMUT Technology in Application to Brain Imaging

Published on: September 24, 2017

10.7K

Area of Science:

  • Differential Geometry
  • Analysis on Manifolds
  • Algebraic Structures

Background:

  • Existing theories of generalized functions on manifolds have limitations in applicability to differential geometry.
  • Schwartz distributions and their derivatives are foundational but require extensions for broader geometric applications.

Purpose of the Study:

  • To develop a global theory of algebras of generalized functions on manifolds.
  • To generalize existing theories for applications in differential geometry.
  • To lay the groundwork for a nonlinear theory of distributional geometry.

Main Methods:

  • Utilizing the concept of smoothing operators for constructing the theory.
  • Introducing and analyzing the generalized Lie derivative.
  • Defining a covariant derivative for generalized scalar fields.

Main Results:

  • A generalized theory of algebras of generalized functions on manifolds is established.
  • The generalized Lie derivative is shown to extend the Lie derivative of Schwartz distributions.
  • A covariant derivative for generalized scalar fields is defined, extending the covariant derivative of distributions.

Conclusions:

  • The developed theory provides a suitable framework for applications in differential geometry.
  • The work establishes foundations for nonlinear distributional geometry using Colombeau algebras.
  • The new approach offers enhanced capabilities for handling generalized functions and derivatives on manifolds.