Vacuum quantum stress tensor fluctuations: A diagonalization approach
Large vacuum fluctuations of a quantum stress tensor can be described by the asymptotic behavior of its probability distribution. Here we focus on stress tensor operators which have been averaged with a sampling function in time. The Minkowski vacuum state is not an eigenstate of the time-averaged o...
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Veröffentlicht in: | Physical review. D 2018-01, Vol.97 (2), Article 025013 |
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description | Large vacuum fluctuations of a quantum stress tensor can be described by the asymptotic behavior of its probability distribution. Here we focus on stress tensor operators which have been averaged with a sampling function in time. The Minkowski vacuum state is not an eigenstate of the time-averaged operator, but can be expanded in terms of its eigenstates. We calculate the probability distribution and the cumulative probability distribution for obtaining a given value in a measurement of the time-averaged operator taken in the vacuum state. In these calculations, we study a specific operator that contributes to the stress-energy tensor of a massless scalar field in Minkowski spacetime, namely, the normal ordered square of the time derivative of the field. We analyze the rate of decrease of the tail of the probability distribution for different temporal sampling functions, such as compactly supported functions and the Lorentzian function. We find that the tails decrease relatively slowly, as exponentials of fractional powers, in agreement with previous work using the moments of the distribution. Our results lend additional support to the conclusion that large vacuum stress tensor fluctuations are more probable than large thermal fluctuations, and may have observable effects. |
doi_str_mv | 10.1103/PhysRevD.97.025013 |
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H.</creator><creatorcontrib>Schiappacasse, Enrico D. ; Fewster, Christopher J. ; Ford, L. H.</creatorcontrib><description>Large vacuum fluctuations of a quantum stress tensor can be described by the asymptotic behavior of its probability distribution. Here we focus on stress tensor operators which have been averaged with a sampling function in time. The Minkowski vacuum state is not an eigenstate of the time-averaged operator, but can be expanded in terms of its eigenstates. We calculate the probability distribution and the cumulative probability distribution for obtaining a given value in a measurement of the time-averaged operator taken in the vacuum state. In these calculations, we study a specific operator that contributes to the stress-energy tensor of a massless scalar field in Minkowski spacetime, namely, the normal ordered square of the time derivative of the field. 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D</title><description>Large vacuum fluctuations of a quantum stress tensor can be described by the asymptotic behavior of its probability distribution. Here we focus on stress tensor operators which have been averaged with a sampling function in time. The Minkowski vacuum state is not an eigenstate of the time-averaged operator, but can be expanded in terms of its eigenstates. We calculate the probability distribution and the cumulative probability distribution for obtaining a given value in a measurement of the time-averaged operator taken in the vacuum state. In these calculations, we study a specific operator that contributes to the stress-energy tensor of a massless scalar field in Minkowski spacetime, namely, the normal ordered square of the time derivative of the field. We analyze the rate of decrease of the tail of the probability distribution for different temporal sampling functions, such as compactly supported functions and the Lorentzian function. We find that the tails decrease relatively slowly, as exponentials of fractional powers, in agreement with previous work using the moments of the distribution. Our results lend additional support to the conclusion that large vacuum stress tensor fluctuations are more probable than large thermal fluctuations, and may have observable effects.</description><subject>Asymptotic properties</subject><subject>Eigenvectors</subject><subject>Mathematical analysis</subject><subject>Operators (mathematics)</subject><subject>Probability distribution</subject><subject>Sampling</subject><subject>Stresses</subject><subject>Tensors</subject><subject>Variation</subject><issn>2470-0010</issn><issn>2470-0029</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNo9kFFLwzAUhYMoOOb-gE8FnzvvTdqm8W3MOYWBIupruM0S17G1W9II89dbnfp0DofDvYePsUuEMSKI66fVITzbj9uxkmPgOaA4YQOeSUgBuDr99wjnbBTCGnpbgJKIAzZ7IxPjNtlHarpeQ-dtCElnm9D6xG2i6SJ1dduEm2SSLGt6bxva1J8_WUK7nW_JrC7YmaNNsKNfHbLXu9nL9D5dPM4fppNFagSqLq0sLQsFDsBmxmWlKAqEnJyrqgxVKVSxNKogyU1ZSUsoS0VkUSlF1lbgxJBdHe_2b_fRhk6v2-j7QUFz5LnMZVbKvsWPLePbELx1eufrLfmDRtDfxPQfMa2kPhITX15kYWs</recordid><startdate>20180123</startdate><enddate>20180123</enddate><creator>Schiappacasse, Enrico D.</creator><creator>Fewster, Christopher J.</creator><creator>Ford, L. 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H.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c319t-bead690f00e4cf48366105affbb4198396dc96a72c8b7ea1789aae1999aeeb0f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Asymptotic properties</topic><topic>Eigenvectors</topic><topic>Mathematical analysis</topic><topic>Operators (mathematics)</topic><topic>Probability distribution</topic><topic>Sampling</topic><topic>Stresses</topic><topic>Tensors</topic><topic>Variation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Schiappacasse, Enrico D.</creatorcontrib><creatorcontrib>Fewster, Christopher J.</creatorcontrib><creatorcontrib>Ford, L. H.</creatorcontrib><collection>CrossRef</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Physical review. D</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Schiappacasse, Enrico D.</au><au>Fewster, Christopher J.</au><au>Ford, L. H.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Vacuum quantum stress tensor fluctuations: A diagonalization approach</atitle><jtitle>Physical review. D</jtitle><date>2018-01-23</date><risdate>2018</risdate><volume>97</volume><issue>2</issue><artnum>025013</artnum><issn>2470-0010</issn><eissn>2470-0029</eissn><abstract>Large vacuum fluctuations of a quantum stress tensor can be described by the asymptotic behavior of its probability distribution. Here we focus on stress tensor operators which have been averaged with a sampling function in time. The Minkowski vacuum state is not an eigenstate of the time-averaged operator, but can be expanded in terms of its eigenstates. We calculate the probability distribution and the cumulative probability distribution for obtaining a given value in a measurement of the time-averaged operator taken in the vacuum state. In these calculations, we study a specific operator that contributes to the stress-energy tensor of a massless scalar field in Minkowski spacetime, namely, the normal ordered square of the time derivative of the field. We analyze the rate of decrease of the tail of the probability distribution for different temporal sampling functions, such as compactly supported functions and the Lorentzian function. We find that the tails decrease relatively slowly, as exponentials of fractional powers, in agreement with previous work using the moments of the distribution. Our results lend additional support to the conclusion that large vacuum stress tensor fluctuations are more probable than large thermal fluctuations, and may have observable effects.</abstract><cop>College Park</cop><pub>American Physical Society</pub><doi>10.1103/PhysRevD.97.025013</doi><oa>free_for_read</oa></addata></record> |
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subjects | Asymptotic properties Eigenvectors Mathematical analysis Operators (mathematics) Probability distribution Sampling Stresses Tensors Variation |
title | Vacuum quantum stress tensor fluctuations: A diagonalization approach |
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