2011
DOI: 10.1016/j.physa.2011.06.050
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Inferring an optimal Fisher measure

Abstract: It is well known that a suggestive relation exists that links Schr\"odinger's equation (SE) to the information-optimizing principle based on Fisher's 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 constraint… Show more

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Cited by 11 publications
(24 citation statements)
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“…[20]. In our present situation, the Lipschitz condition can be seen to be always verified since we can argue that, from a physics' stand-point, no amount of information can experience an abrupt, infinite change whenever a physical measurements suffers a small variation.…”
Section: Equations Governing Scalingsupporting
confidence: 52%
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“…[20]. In our present situation, the Lipschitz condition can be seen to be always verified since we can argue that, from a physics' stand-point, no amount of information can experience an abrupt, infinite change whenever a physical measurements suffers a small variation.…”
Section: Equations Governing Scalingsupporting
confidence: 52%
“…(22), one can apply a LT to its solution by changing variables (from available mean values to a new set of coefficients which can be identified as Lagrange multipliers in a MaxEnt-language or potential's seriesexpansion's coefficients in a quantum scenario). When this is accomplished, the ensuing reciprocity relations allow one to re-obtain two important quantum features 1. the virial theorem, now as a consequence (not as a pre-requisite as in [20]) and 2. the scaling behavior of the eigenvalues of the Schrödinger's equation reported Ref. [25].…”
Section: Discussionmentioning
confidence: 99%
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“…It is important to note that for expressions in this paper to reduce to those in prior FIM-studies [18,19,22,26] in the limit V (x) = 0, the constant in (19) and (20) k → k 2 . This discrepancy arises on account of the manner in which the empirical pseudo-potentialŨ Data RFI (x) and the physical pseudopotentialŨ Physical RFI (x) are defined in (14) and (15).…”
Section: Comments and Numerical Simulationsmentioning
confidence: 99%