Inferring an optimal Fisher measure
It is well known that a suggestive relation exists that links the Schrödinger equation (SE) to the information-optimizing principle based on the Fisher information measure (FIM). We explore here an approach that will allow one to infer the optimal FIM compatible with a given amount of prior informat...
| Autores: | , , |
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| Formato: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2011 |
| País: | Argentina |
| Recursos: | Consejo Nacional de Investigaciones Científicas y Técnicas |
| Repositorio: | CONICET Digital (CONICET) |
| Idioma: | inglés |
| OAI Identifier: | oai:ri.conicet.gov.ar:11336/81163 |
| Acesso em linha: | http://hdl.handle.net/11336/81163 |
| Access Level: | acceso abierto |
| Palavra-chave: | FISHER INFORMATION MEASURE INFORMATION THEORY LEGENDRE TRANSFORM VIRIAL THEOREM https://purl.org/becyt/ford/1.3 https://purl.org/becyt/ford/1 |
| Resumo: | It is well known that a suggestive relation exists that links the Schrödinger equation (SE) to the information-optimizing principle based on the Fisher information measure (FIM). We explore here an approach that will allow one to infer the optimal FIM compatible with a given amount of prior information without explicitly solving first the associated SE. This technique is based on the virial theorem and it provides analytic solutions for the physically relevant FIM, that which is minimal subject to the constraints posed by the prior information. |
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