Activity of order n in continuous systems

In this work we generalize the concept of activity of continuous time signals. We define the activity of order n of a signal and show that it allows us to estimate the number of sections of polynomials up to order n which are needed to represent that signal with a certain accuracy. Then we apply thi...

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Publicado: 2015
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Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00375497_v91_n4_p337_Castro
http://hdl.handle.net/20.500.12110/paper_00375497_v91_n4_p337_Castro
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spelling paper:paper_00375497_v91_n4_p337_Castro2023-06-08T15:02:19Z Activity of order n in continuous systems Activity tracking continuous systems discrete event simulation numerical solvers quantized state systems Discrete event simulation Activity tracking Continuous system Continuous-time signal Integration algorithm Integration method Lower bounds Numerical solvers Quantized state systems Continuous time systems In this work we generalize the concept of activity of continuous time signals. We define the activity of order n of a signal and show that it allows us to estimate the number of sections of polynomials up to order n which are needed to represent that signal with a certain accuracy. Then we apply this concept to obtain a lower bound for the number of steps performed by quantization-based integration algorithms in the simulation of ordinary differential equations. We perform an exhaustive analysis over two examples, computing the activity of order n and comparing it with the number of steps performed by different integration methods. This analysis corroborates the theoretical predictions and also allows us to measure the suitability of the different algorithms depending on how close to the theoretical lower bound they perform. © 2015, The Author(s). All rights reserved. 2015 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00375497_v91_n4_p337_Castro http://hdl.handle.net/20.500.12110/paper_00375497_v91_n4_p337_Castro
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Activity tracking
continuous systems
discrete event simulation
numerical solvers
quantized state systems
Discrete event simulation
Activity tracking
Continuous system
Continuous-time signal
Integration algorithm
Integration method
Lower bounds
Numerical solvers
Quantized state systems
Continuous time systems
spellingShingle Activity tracking
continuous systems
discrete event simulation
numerical solvers
quantized state systems
Discrete event simulation
Activity tracking
Continuous system
Continuous-time signal
Integration algorithm
Integration method
Lower bounds
Numerical solvers
Quantized state systems
Continuous time systems
Activity of order n in continuous systems
topic_facet Activity tracking
continuous systems
discrete event simulation
numerical solvers
quantized state systems
Discrete event simulation
Activity tracking
Continuous system
Continuous-time signal
Integration algorithm
Integration method
Lower bounds
Numerical solvers
Quantized state systems
Continuous time systems
description In this work we generalize the concept of activity of continuous time signals. We define the activity of order n of a signal and show that it allows us to estimate the number of sections of polynomials up to order n which are needed to represent that signal with a certain accuracy. Then we apply this concept to obtain a lower bound for the number of steps performed by quantization-based integration algorithms in the simulation of ordinary differential equations. We perform an exhaustive analysis over two examples, computing the activity of order n and comparing it with the number of steps performed by different integration methods. This analysis corroborates the theoretical predictions and also allows us to measure the suitability of the different algorithms depending on how close to the theoretical lower bound they perform. © 2015, The Author(s). All rights reserved.
title Activity of order n in continuous systems
title_short Activity of order n in continuous systems
title_full Activity of order n in continuous systems
title_fullStr Activity of order n in continuous systems
title_full_unstemmed Activity of order n in continuous systems
title_sort activity of order n in continuous systems
publishDate 2015
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00375497_v91_n4_p337_Castro
http://hdl.handle.net/20.500.12110/paper_00375497_v91_n4_p337_Castro
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