Thermal Science 2022 Volume 26, Issue 4 Part A, Pages: 3089-3095
https://doi.org/10.2298/TSCI2204089U
Full text ( 492 KB)
Cited by
Air temperature measurement based on lie group SO(3)
Ucan Yasemen (Department of Mathematical Engineering, Yildiz Technical University, Istanbul, Turkey), ucan@yildiz.edu.tr
Bildirici Melike (Department of Economics, Yildiz Technical University, Istanbul, Turkey)
This study aims to analyze the behaviors of air temperature during the period
from 1895(5) to 2021(12) using Lie algebras method. We proposed an
alternative method to model air temperature, in which the non-linear
structure of temperature is evolved by a stochastic differential equation
captured on a curved state space. After expressing stochastic differential
equations based on Lie algebras and Lie groups, we tested the non-linear and
random behavior of air temperature. This method allow a rich geometric
structure. Moreover diffusion processes can easily be built without needing
the machinery of stochastic calculus on manifolds.
Keywords: Lie groups, Lie algebras, air temperature, stochastic equation
Show references
Vilenkin, N. Y., Klimyk, A. U., Representations of Lie Groups and Special Functions, Kluwer Academic Press, Amsterdam, The Netherlands, 1991, Vol. 3
Lie, S., Über die integration durch bestimmte integrate von einer klasse linearer partieller differentialgleichungen, in: Lie Group Analysis of Differential Equations, Archiv for Mathematik Naturvidenskab (in German), Vol. 2, CRC Press, Boka Raton, Fla., USA, 1995, 1881
Gilmore, R., Lie Groups, Lie Algebras and some Their Applications, Krieger, Malabar, Fla., USA, 1994
Dattoli, G., et al., Lie Algebraic Methods and solutions of Linear Partial Differentia Equations, Journal Math. Phys., 31 (1990), 12, pp. 2856-2863
Casas, F., Solution for Linear Partial Differential Equations by Lie Algebraic Methods, Journal of Computational and Applied Mathematics, 76 (1996), pp. 159-170
Gazizov, R. K., et.al., Lie Symmetry Analysis of Differential Equations, Math. Phys., 33 (1992), 1, pp. 403-408
Bildirici, M., Chaotic Dynamics on Air Quality and Human Health: Evidence from China, India, and Turkey, NDPLS, 52 (2021), 2, July, pp. 207-237
Bjork, T., Landen, C., On the Construction of Finite Dimensional Realizations for Non-Linear Forward Rate Models, Fin. Stoch., 6 (2002), July, pp. 303-331
Hernandez, I., et.al., Lie Theory: Applications to Problems in Mathematical Finance and Economics, Appl. Math. Comput., 208 (2009), 2, pp. 446-452
Park, F. C., et al., Interest Rate Models on Lie Groups, Quantitative Finance, 11 (2011), 4, pp. 559-572
Webber, N., Valuation of Financial Models with Non-Linear State Spaces, AIP Conference Proceedings, 553 (2001), 1, pp. 315-320
Muniz, M., et al., Approximating Correlation Matrices Using Stochastic Lie Group Methods, Mathematics, 9 (2021), 94
Bildirici, M., et.al., Modelling Oil Price with Lie Algebras and Long Short-Term Memory Networks, Mathematics, 9 (2021), 1708
***, EPA(2021a), Climate Changes Indicators: U.S. and Global Temperature, https://www.epa.gov/climate-indicators/climate-change-indicators-us-and-global-temperature, 2021
***, EPA(2021b) Climate Change Indicators: Seasonal Temperature, 2021, https://www.epa.gov/climate--indicators/climate-change-indicators-seasonal-temperature
Mojda, A., Communications on Pure and Applied Mathematics, John Wiley & Sons, New York, USA, 2001, Vol. LIV, pp. 0891-0974
Franzke, C. L. E., et al., Stochastik Climate Theory and Modelling, Wiley Interdisciplinary Reviews: Climate Change, 6 (2015), 1, pp. 63-78
Ucan, Y., Kosker, R., The Real Forms of The Fractional Supergroup SL(2,C), Mathematics, 9 (2021), 933