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generalized uncertainty

Quantum Corrections on Tunneling Radiation by the Generalized Uncertainty Principle

Quantum Corrections on Tunneling Radiation by the Generalized Uncertainty Principle

... the generalized uncertainty principle (GUP) could describe the minimum measurable length [13]-[17], based on the modified fundamental commutation relation [18] ...

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Support Limited Generalized Uncertainty Relations on Fractional Fourier Transform

Support Limited Generalized Uncertainty Relations on Fractional Fourier Transform

... the generalized uncertainty principles of fractional Fourier transform (FRFT) for concentrated data in limited ...discrete generalized uncer- tainty relations, whose bounds are related to FRFT ...

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Modified Unruh effect from generalized uncertainty principle

Modified Unruh effect from generalized uncertainty principle

... In the context of the Generalized Uncertainty Principle, we have computed the correction induced on the Unruh tempera- ture by a deformed fundamental commutator. This result has been obtained by following ...

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Canonical thermostatics of ideal gas in the frame work of generalized uncertainty principle

Canonical thermostatics of ideal gas in the frame work of generalized uncertainty principle

... In this study, The statistical consequences of minimal length supposition are investigated for a canonical ensemble of ideal gas. These effects are encoded in the so- called Generalized Uncertainty ...

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Fine Structure Constant, Domain Walls, and Generalized Uncertainty Principle in the Universe

Fine Structure Constant, Domain Walls, and Generalized Uncertainty Principle in the Universe

... the generalized uncertainty ...the generalized uncertainty principle, that is to say, ΔxΔp ≥ becomes ΔxΔp βl P l 2 Δp/ 2 ; this is suggestd to introduce a kind of “effective” Planck constant, h ...

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Generalized Uncertainty Relations, Curved Phase Spaces and Quantum Gravity

Generalized Uncertainty Relations, Curved Phase Spaces and Quantum Gravity

... modified uncertainty relations (11), (12c), (12d) is that there is a minimum value for the position uncertainty ∆ x ...resolution. Generalized uncertainty relations in spacetime were derived ...

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Time-dependent q-deformed coherent states for generalized uncertainty relations

Time-dependent q-deformed coherent states for generalized uncertainty relations

... the generalized version of Heisenberg’s uncertainty relation for a simultaneous measurement of the two observables X and P projected onto the normalized coherent states | J, γ q as defined in equation ...

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Discrete Entropic Uncertainty Relations Associated with FRFT

Discrete Entropic Uncertainty Relations Associated with FRFT

... log generalized uncertainty relations associated with FRFT have been carefully explored in some papers such as [3,4,16], which effectively enrich the ensemble of ...discrete generalized ...

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Advanced Line Sampling for efficient robust reliability analysis

Advanced Line Sampling for efficient robust reliability analysis

... ical efficiency for implementation in the generalized uncertainty environment. The improvement concerns the efficiency in evaluating Equation 5. In contrast to the standard algorithm, ALS uses a support ...

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Generalized Discrete Entropic Uncertainty Relations on Linear Canonical Transform

Generalized Discrete Entropic Uncertainty Relations on Linear Canonical Transform

... tinuous generalized uncertainty relations associated with FRFT have been carefully explored in some papers such as [3,4,16], which effectively enrich the ensemble of ...discrete generalized ...

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The challenges of modelling phosphorus in a headwater catchment: Applying a "limits of acceptability" uncertaintly framework to a water quality model

The challenges of modelling phosphorus in a headwater catchment: Applying a "limits of acceptability" uncertaintly framework to a water quality model

... For a large number of the parameters, it is difficult to identify any sensitivity in fitting the observations, and a large amount of equifinality is evident (Figs. 7 and 8). This is particularly the case for the SOL_ORGP ...

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Chapter 11 Stocks: Information Uncertainty

Chapter 11 Stocks: Information Uncertainty

... a Generalized Auto-Regressive Conditional Heteroscedasticity (GARCH) model to analyze information uncertainty around (100 days before and 100 days after the announcement date) the filing announcement for ...

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Uncertainty about the impact of social decisions increases prosocial behaviour

Uncertainty about the impact of social decisions increases prosocial behaviour

... outcome uncertainty activates self- focused narratives that enable people to tell themselves that it is very unlikely that a negative outcome for the other person will occur, allowing them to reap the benefits of ...

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Parameter uncertainty and identifiability of a conceptual semi-distributed model to simulate hydrological processes in a small headwater catchment in Northwest China

Parameter uncertainty and identifiability of a conceptual semi-distributed model to simulate hydrological processes in a small headwater catchment in Northwest China

... basin and finally feeds into the Heihe River. The vegeta- tion and partial attributes of hydrological processes in the catchment have been intensively investigated by the Academy of Water Resource Conservation Forests of ...

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Quantitative uncertainty principles for the short time Fourier transform and the Radar ambiguity fn

Quantitative uncertainty principles for the short time Fourier transform and the Radar ambiguity fn

... The uncertainty principles in harmonic analysis state that a nonzero function f and its Fourier trans- form f b cannot be at the same time simultaneously and sharply localized, that is, it’s impossible for a ...

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Hydro-economic optimization under inflow uncertainty using the SDP_GAMS generalized optimization tool

Hydro-economic optimization under inflow uncertainty using the SDP_GAMS generalized optimization tool

... Abstract The use of methodologies that explicitly take into account inflow uncertainties in the optimization of the management of water resource systems is hindered by the lack of a generalized software. A ...

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Application of Interval Valued Fuzzy Soft Matrices in Decision Making Problem Using Similarity Measures

Application of Interval Valued Fuzzy Soft Matrices in Decision Making Problem Using Similarity Measures

... or generalized fuzzy soft sets has wide applications in many problems which contains uncertainty such as fuzzy clustering, image processing, fuzzy reasoning fuzzy neural network, pattern recognition, ...

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Solution of the Generalized Interval Linear Programming Problems: Pessimistic and Optimistic Approaches

Solution of the Generalized Interval Linear Programming Problems: Pessimistic and Optimistic Approaches

... define generalized interval numbers to produce an algebraic interval field and on this field, we propose principle of uncertainty traverse instead of extension principle which permits to define operators on ...

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UNCERTAINTY AND INFORMATION Foundations of Generalized Information Theory   George J  Klir pdf

UNCERTAINTY AND INFORMATION Foundations of Generalized Information Theory George J Klir pdf

... Each uncertainty theory that is recognizable within the expanded frame- work is characterized by: (a) a particular formalized language (classical or fuzzy); and (b) a generalized measure of some particular ...

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Non hermitian extensions of Heisenberg type and Schrödinger type uncertainty relations

Non hermitian extensions of Heisenberg type and Schrödinger type uncertainty relations

... the uncertainty relation was given by Luo and Zhang [] for the first ...the uncertainty relation was given by Kosaki [] and Yanagi et ...the uncertainty relation was given by Yanagi [] and was ...

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