scholarly journals On the Correspondence between Data Revision and Trend-Cycle Decomposition

2012 ◽  
Author(s):  
Mardi H. Dungey ◽  
Jan P. A. M. Jacobs ◽  
Jing Tian ◽  
Simon van Norden
Keyword(s):  
Cycle Decomposition ◽  
Data Revision

scholarly journals On the correspondence between data revision and trend-cycle decomposition

2013 ◽  
Vol 20 (4) ◽  
pp. 316-319 ◽  
Author(s):  
M. Dungey ◽  
J. P. A. M. Jacobs ◽  
J. Tian ◽  
S. van Norden
Keyword(s):  
Cycle Decomposition ◽  
Data Revision

Environment-Based Life Cycle Decomposition (eLCD): Adaptation of EBD to Sustainable Design

2021 ◽  
pp. 1-24
Author(s):  
Jiami Yang ◽  
Yong Zeng ◽  
Stephen Ekwaro-Osire ◽  
Abraham Nispel ◽  
Hua Ge
Keyword(s):  
Decision Making ◽  
Life Cycle ◽  
Sustainable Design ◽  
Storage System ◽  
Energy Storage System ◽  
Three Dimensions ◽  
Analysis Tool ◽  
Design Decision ◽  
Cycle Decomposition ◽  
Efficient Tool

As sustainability becomes increasingly important, product design is taking a proactive role in producing products that are both useful and sustainable. This paper introduces and discusses a tool named Environment-based life cycle decomposition (eLCD) to adapt the Environment-based Design (EBD) methodology to sustainable design. The eLCD brings to EBD three major features: 1) a holistic environment structure for sustainable conceptual design, 2) an effective and efficient tool for collecting information for sustainability decision-making, and 3) an analysis tool that takes sustainability as an integral part of the design rather than as a burden. The environment of a product is everything except the product itself, which can be defined in three dimensions, namely, environment types, life cycle events, and life cycle time. The environment types are designated as natural, built (including physical artifact and digital artifact), economic, and social environment. The eLCD provides an effective template for information collection to support the design decision-making process. The effectiveness of eLCD is demonstrated by its application to the upscaling of a wind turbine, where an energy storage system is introduced to make full use of wind energy with the least waste in serving the electricity demand.

scholarly journals TREND IN CYCLE OR CYCLE IN TREND? NEW STRUCTURAL IDENTIFICATIONS FOR UNOBSERVED-COMPONENTS MODELS OF U.S. REAL GDP

2014 ◽  
Vol 19 (4) ◽  
pp. 776-790 ◽  
Author(s):  
Mardi Dungey ◽  
Jan P.A.M. Jacobs ◽  
Jing Tian ◽  
Simon van Norden
Keyword(s):  
Negative Correlation ◽  
Structural Model ◽  
Reduced Form ◽  
Cycle Decomposition ◽  
Unobserved Components ◽  
Real Gdp

A well-documented property of the Beveridge–Nelson trend–cycle decomposition is the perfect negative correlation between trend and cycle innovations. We show how this may be consistent with a structural model where permanent innovations enter the cycle or transitory innovations enter the trend, and that identification restrictions are necessary to make this structural distinction. A reduced-form unrestricted version is compatible with either option, but cannot distinguish which is relevant. We discuss economic interpretations and implications using U.S. real GDP data.

GENERIC QUANTUM MARKOV SEMIGROUPS, CYCLE DECOMPOSITION AND DEVIATION FROM EQUILIBRIUM

2012 ◽  
Vol 15 (03) ◽  
pp. 1250016 ◽  
Author(s):  
FRANCO FAGNOLA ◽  
VERONICA UMANITÀ
Keyword(s):  
Small Time ◽  
Jump Processes ◽  
Time Interval ◽  
Markov Semigroup ◽  
Cycle Decomposition ◽  
Markov Jump ◽  
Partial Isometries ◽  
Small Time Interval ◽  
Positive Weights ◽  
The Difference

A generic quantum Markov semigroup [Formula: see text] of a d-level quantum open system with a faithful normal invariant state ρ admits a dual semigroup [Formula: see text] with respect to the scalar product induced by ρ. We show that the difference of the generators [Formula: see text] can be written as the sum of a derivation 2i[H, ⋅] and a weighted difference of automorphisms [Formula: see text] where [Formula: see text] is a family of cycles on the d levels of the system, wc are positive weights and [Formula: see text] are unitaries. This formula allows us to represent the deviation from equilibrium (in a "small" time interval) as the superposition of cycles of the system where the difference between the forward and backward evolution is written as the difference of a reversible evolution and its time reversal. Moreover, it generalises cycle decomposition of Markov jump processes. We also find a similar formula with partial isometries instead of unitaries.

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