This HTML5 document contains 31 embedded RDF statements represented using HTML+Microdata notation.

The embedded RDF content will be recognized by any processor of HTML5 Microdata.

Namespace Prefixes

PrefixIRI
dctermshttp://purl.org/dc/terms/
n2https://kar.kent.ac.uk/id/eprint/
n21https://kar.kent.ac.uk/67362/
wdrshttp://www.w3.org/2007/05/powder-s#
n16https://kar.kent.ac.uk/id/eprint/67362#
dchttp://purl.org/dc/elements/1.1/
n6http://purl.org/ontology/bibo/status/
rdfshttp://www.w3.org/2000/01/rdf-schema#
n11https://kar.kent.ac.uk/id/subject/
n19https://demo.openlinksw.com/about/id/entity/https/raw.githubusercontent.com/annajordanous/CO644Files/main/
n3http://eprints.org/ontology/
bibohttp://purl.org/ontology/bibo/
n12https://kar.kent.ac.uk/id/publication/
n17https://kar.kent.ac.uk/id/org/
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
owlhttp://www.w3.org/2002/07/owl#
n4https://kar.kent.ac.uk/id/document/
n13https://kar.kent.ac.uk/id/
xsdhhttp://www.w3.org/2001/XMLSchema#
n15https://demo.openlinksw.com/about/id/entity/https/www.cs.kent.ac.uk/people/staff/akj22/materials/CO644/
n10https://kar.kent.ac.uk/id/person/
n8doi:10.1103/

Statements

Subject Item
n2:67362
rdf:type
bibo:Article bibo:AcademicArticle n3:ArticleEPrint n3:EPrint
rdfs:seeAlso
n21:
owl:sameAs
n8:PhysRevE.98.022124
n3:hasAccepted
n4:1779601
n3:hasDocument
n4:3156394 n4:3156395 n4:2814225 n4:3156396 n4:1779601 n4:3156393
dc:hasVersion
n4:1779601
dcterms:title
Information ratchets exploiting spatially structured information reservoirs
wdrs:describedby
n15:export_kar_RDFN3.n3 n19:export_kar_RDFN3.n3
dcterms:date
2018-08-23
dcterms:creator
n10:ext-d.f.chu@kent.ac.uk n10:ext-9c5a0e7b5ba1f92070ff078a74197037 n10:ext-9448f2c924b72483ef35d04eb1739901
bibo:status
n6:peerReviewed n6:published
dcterms:publisher
n17:ext-10362cca123c9874ab3ef442185690d8
bibo:abstract
Fully mechanized Maxwell's demons, also called information ratchets, are an important conceptual link between computation, information theory, and statistical physics. They exploit low-entropy information reservoirs to extract work from a heat reservoir. Previous models of such demons have either ignored the cost of delivering bits to the demon from the information reservoir or assumed random access or infinite-dimensional information reservoirs to avoid such an issue. In this work we account for this cost when exploiting information reservoirs with physical structure and show that the dimensionality of the reservoir has a significant impact on the performance and phase diagram of the demon. We find that for conventional one-dimensional tapes the scope for work extraction is greatly reduced. An expression for the net-extracted work by demons exploring information reservoirs by means of biased random walks on d-dimensional, \(\mathbb Z^d\), information reservoirs is presented. Furthermore, we derive exact probabilities of recurrence in these systems, generalizing previously known results. We find that the demon is characterized by two critical dimensions. First, to extract work at zero bias the dimensionality of the information reservoir must be larger than d=2, corresponding to the dimensions where a simple random walker is transient. Second, for integer dimensions d>4 the unbiased random walk optimizes work extraction corresponding to the dimensions where a simple random walker is strongly transient.
dcterms:isPartOf
n12:ext-24700045 n13:repository
dcterms:subject
n11:Q
bibo:authorList
n16:authors
bibo:issue
2
bibo:volume
98