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Uncertainty relations in terms of Tsallis entropy  [PDF]
Grzegorz Wilk,Zbigniew Wlodarczyk
Physics , 2008, DOI: 10.1103/PhysRevA.79.062108
Abstract: Uncertainty relations emerging from the Tsallis entropy are derived and discussed. In particular we found a positively defined function that saturates the so called entropic inequalities for entropies characterizing the physical states under consideration.
Probability distribution and entropy as a measure of uncertainty  [PDF]
Qiuping A. Wang
Mathematics , 2006,
Abstract: The relationship between three probability distributions and their maximizable entropy forms is discussed without postulating entropy property. For this purpose, the entropy I is defined as a measure of uncertainty of the probability distribution of a random variable x by a variational relationship, a definition underlying the maximization of entropy for corresponding distribution.
Entropy of the FRW universe based on the generalized uncertainty principle  [PDF]
Wontae Kim,Young-Jai Park,Myungseok Yoon
Physics , 2010, DOI: 10.1142/S0217732310033049
Abstract: The statistical entropy of the FRW universe described by time-dependent metric is newly calculated using the brick wall method based on the general uncertainty principle with the minimal length. We can determine the minimal length with the Plank scale to obtain the entropy proportional to the area of the cosmological apparent horizon.
Maximizable informational entropy as measure of probabilistic uncertainty  [PDF]
C. J. Ou,A. El Kaabouchi,L. Nivanen,F. Tsobnang,A. Le Méhauté,Qiuping A. Wang
Physics , 2008,
Abstract: In this work, we consider a recently proposed entropy S (called varentropy) defined by a variational relationship dI=beta*(d-) as a measure of uncertainty of random variable x. By definition, varentropy underlies a generalized virtual work principle =0 leading to maximum entropy d(I-beta*)=0. This paper presents an analytical investigation of this maximizable entropy for several distributions such as stretched exponential distribution, kappa-exponential distribution and Cauchy distribution.
Black hole entropy divergence and the uncertainty principle  [PDF]
Ram Brustein,Judy Kupferman
Physics , 2010, DOI: 10.1103/PhysRevD.83.124014
Abstract: Black hole entropy has been shown by 't Hooft to diverge at the horizon. The region near the horizon is in a thermal state, so entropy is linear to energy which consequently also diverges. We find a similar divergence for the energy of the reduced density matrix of relativistic and non-relativistic field theories, extending previous results in quantum mechanics. This divergence is due to an infinitely sharp division between the observable and unobservable regions of space, and it stems from the position/momentum uncertainty relation in the same way that the momentum fluctuations of a precisely localized quantum particle diverge. We show that when the boundary between the observable and unobservable regions is smoothed the divergence is tamed. We argue that the divergence of black hole entropy can also be interpreted as a consequence of position/momentum uncertainty, and that 't Hooft's brick wall tames the divergence in the same way, by smoothing the boundary.
Extended quantum conditional entropy and quantum uncertainty inequalities  [PDF]
Rupert L. Frank,Elliott H. Lieb
Mathematics , 2012, DOI: 10.1007/s00220-013-1775-1
Abstract: Quantum states can be subjected to classical measurements, whose incompatibility, or uncertainty, can be quantified by a comparison of certain entropies. There is a long history of such entropy inequalities between position and momentum. Recently these inequalities have been generalized to the tensor product of several Hilbert spaces and we show here how their derivations can be shortened to a few lines and how they can be generalized. All the recently derived uncertainty relations utilize the strong subadditivity (SSA) theorem; our contribution relies on directly utilizing the proof technique of the original derivation of SSA.
Entropy Bounds, Holographic Principle and Uncertainty Relation  [PDF]
M. G. Ivanov,I. V. Volovich
Entropy , 2001, DOI: 10.3390/e3020066
Abstract: A simple derivation of the bound on entropy is given and the holographic principle is discussed. We estimate the number of quantum states inside space region on the base of uncertainty relation. The result is compared with the Bekenstein formula for entropy bound, which was initially derived from the generalized second law of thermodynamics for black holes. The holographic principle states that the entropy inside a region is bounded by the area of the boundary of that region. This principle can be called the kinematical holographic principle. We argue that it can be derived from the dynamical holographic principle which states that the dynamics of a system in a region should be described by a system which lives on the boundary of the region. This last principle can be valid in general relativity because the ADM hamiltonian reduces to the surface term.
An Analysis of States in the Phase Space: Uncertainty, Entropy and Diffusion  [PDF]
Tosto S.
Progress in Physics , 2011,
Abstract: The paper aims to show the physical link between Fick’s laws and entropy increase in an isolated diusion system, initially inhomogeneous and out of the thermodynamic equilibrium, within which transport of matter is allowed to occur. Both the concentration gradient law and the entropic terms characterizing the diusion process are inferred from the uncertainty equations of statistical quantum mechanics. The approach is very general and holds for diusion systems in solid, liquid and gas phases.
New uncertainty relations for tomographic entropy: Application to squeezed states and solitons  [PDF]
Sergio De Nicola,Renato Fedele,Margarita A. Man'ko,Vladimir I. Man'ko
Physics , 2006, DOI: 10.1140/epjb/e2006-00280-0
Abstract: Using the tomographic probability distribution (symplectic tomogram) describing the quantum state (instead of the wave function or density matrix) and properties of recently introduced tomographic entropy associated with the probability distribution, the new uncertainty relation for the tomographic entropy is obtained. Examples of the entropic uncertainty relation for squeezed states and solitons of the Bose--Einstein condensate are considered.
Generalized measurement of uncertainty and the maximizable entropy  [PDF]
Congjie Ou,Aziz El Kaabouchi,Alain Le Mehaute,Qiuping A. Wang,Jincan Chen
Physics , 2008,
Abstract: For a random variable we can define a variational relationship with practical physical meaning as dI=dbar(x)-bar(dx), where I is called as uncertainty measurement. With the help of a generalized definition of expectation, bar(x)=sum_(i)g(p_i)x_i, and the expression of dI, we can find the concrete forms of the maximizable entropies for any given probability distribution function, where g(p_i) may have different forms for different statistics which includes the extensive and nonextensive statistics.
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