Manipulating Time Series Irreversibility Through Continuous Ordinal Patterns

Time irreversibility, i.e., the lack of invariance of a system under the operation of time reversal, has long attracted the attention of the statistical physics community, and has been shown to be a relevant marker of altered dynamics in many real-world problems. Here, I introduce and analyse the co...

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Detalles Bibliográficos
Autor: Zanin, Massimiliano
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2024
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/381151
Acceso en línea:http://hdl.handle.net/10261/381151
https://api.elsevier.com/content/abstract/scopus_id/85213280271
Access Level:acceso abierto
Palabra clave:Time series
Continuous ordinal patterns
Electroencephalography
Schizophrenia
Time irreversibility
Descripción
Sumario:Time irreversibility, i.e., the lack of invariance of a system under the operation of time reversal, has long attracted the attention of the statistical physics community, and has been shown to be a relevant marker of altered dynamics in many real-world problems. Here, I introduce and analyse the complementary problem of its manipulation. In other words, I ask whether, given a time series, it can be manipulated to achieve desired irreversibility while maintaining its original dynamics. I show how this problem can be tackled using Continuous Ordinal Patterns, a non-linear transformation of a time series based on the local structure created by neighbouring values. I further illustrate the relevance of this problem in the context of brain dynamics, determining that schizophrenic patients and control subjects are characterised by different “distances to irreversibility”. Finally, I discuss some open questions, including the meaning of such manipulation from both theoretical and applied viewpoints.