LEADER 03732oam 2200481 450 001 996418201203316 005 20210610154936.0 010 $a3-030-60307-5 024 7 $a10.1007/978-3-030-60307-6 035 $a(CKB)5460000000008750 035 $a(DE-He213)978-3-030-60307-6 035 $a(MiAaPQ)EBC6450978 035 $a(PPN)253252725 035 $a(EXLCZ)995460000000008750 100 $a20210610d2020 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aTurnpike theory for the Robinson-Solow-Srinivasan model /$fAlexander J. Zaslavski 205 $a1st ed. 2020. 210 1$aCham, Switzerland :$cSpringer,$d[2020] 210 4$d©2020 215 $a1 online resource (X, 442 p.) 225 1 $aSpringer Optimization and Its Applications ;$vVolume 166 311 $a3-030-60306-7 327 $a1. Introduction -- 2 The RSS model and its basic properties -- 3. Infinite horizon optimization. 4. Turnpike results for the RSS model -- 5.The RSS model with a nonconcave utility function. - 6.Infinite horizon nonautonomous optimization problems -- 7. One-dimensional RSS model -- 8. Optimal Programs -- 9. Turnpike for the RSS model with nonconcave utility functions. 10. An autonomous one-dimensional model -- 11. The continuous-time Robinson?Solow?Srinivasan model -- References -- Index. 330 $aThis book is devoted to the study of a class of optimal control problems arising in mathematical economics, related to the Robinson?Solow?Srinivasan (RSS) model. It will be useful for researches interested in the turnpike theory, infinite horizon optimal control and their applications, and mathematical economists. The RSS is a well-known model of economic dynamics that was introduced in the 1960s and as many other models of economic dynamics, the RSS model is determined by an objective function (a utility function) and a set-valued mapping (a technology map). The set-valued map generates a dynamical system whose trajectories are under consideration and the objective function determines an optimality criterion. The goal is to find optimal trajectories of the dynamical system, using the optimality criterion. Chapter 1 discusses turnpike properties for some classes of discrete time optimal control problems. Chapter 2 present the description of the RSS model and discuss its basic properties. Infinite horizon optimal control problems, related to the RSS model are studied in Chapter 3. Turnpike properties for the RSS model are analyzed in Chapter 4. Chapter 5 studies infinite horizon optimal control problems related to the RSS model with a nonconcave utility function. Chapter 6 focuses on infinite horizon optimal control problems with nonautonomous optimality criterions. Chapter 7 contains turnpike results for a class of discrete-time optimal control problems. Chapter 8 discusses the RSS model and compares different optimality criterions. Chapter 9 is devoted to the study of the turnpike properties for the RSS model. In Chapter 10 the one-dimensional autonomous RSS model is considered and the continuous time RSS model is studied in Chapter 11. 410 0$aSpringer optimization and its applications ;$vVolume 166. 606 $aMathematical ability 606 $aTurnpike theory (Economics) 615 0$aMathematical ability. 615 0$aTurnpike theory (Economics) 676 $a153.9 700 $aZaslavski$b Alexander J.$0721713 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bUtOrBLW 906 $aBOOK 912 $a996418201203316 996 $aTurnpike theory for the Robinson-Solow-Srinivasan model$92113488 997 $aUNISA