A finite difference method with phase-lag and its derivatives equal to zero for problems in chemistry
- PDF / 1,366,791 Bytes
 - 37 Pages / 439.37 x 666.142 pts Page_size
 - 8 Downloads / 176 Views
 
		    (0123456789().,-volV) (0123456789().,-volV)
 
 ORIGINAL PAPER
 
 A finite difference method with phase-lag and its derivatives equal to zero for problems in chemistry Maxim A. Medvedev1,2 • T. E. Simos3,4,5,6,7 Received: 9 June 2020 / Accepted: 11 July 2020  Springer Nature Switzerland AG 2020
 
 Abstract A new method with phase-lag and its derivatives up to order four equal to zero is introduced for the numerical solution of problems in quantum chemistry. Keywords Phase-lag  Derivative of the phase-lag  Initial value problems  Oscillating solution  Symmetric  Hybrid  Multistep  Schro¨dinger equation
 
 Mathematics Subject Classification 65L05
 
 1 Introduction 1.1 The problem We discuss the solution of the following systems of differential equations:  2  N X d li ðli þ 1Þ 2 þ k   POTENT ¼ POTENTim dmj d ii ij i x2 dx2 m¼1
 
 ð1Þ
 
 where 1  i  N and m 6¼ i. (3) ! BVP (¼ Boundary value problem) ! boundary conditions: dij ¼ 0 at x ¼ 0
 
 ð2Þ
 
 Highly Cited Researcher (2001–2013 List, 2017 List and 2018 List), Active Member of the European Academy of Sciences and Arts. Active Member of the European Academy of Sciences. Corresponding Member of European Academy of Arts, Sciences and Humanities. & T. E. Simos [email protected] Extended author information available on the last page of the article
 
 123
 
 Journal of Mathematical Chemistry
 
  1=2 ki dij  ki xjli ðki xÞhij þ Kij ki x nli ðki xÞ kj
 
 ð3Þ
 
 where jl ðxÞ and nl ðxÞ ! spherical Bessel and Neumann functions respectively (see [60]). Categories of problems (see [60]): • Open Channels • Close Channels Asymptotic form (4)
 
 ofð3Þfortheopenchannelsproblemðsee½60Þ
 
 !
 
 :
 
 d  N þ TW0 : where: Wij0
 
  1=2 ki ¼ Kij kj
 
 Nij ¼ ki xjli ðki xÞhij Tij ¼ ki xnli ðki xÞhij More details see in [65, 141–149] and references therein. Areas of application of the problems of the form (1) can also be found in [150–158] and references therein (Cybernetics, Neural Networks, Information Sciences, Neurocomputing, Social networks, Computational Intelligence, Simulation Modelling, etc.). [60] !:  2  d l0 ðl0 þ 1Þ Jjl 2 þ k  dj0 l0 ðxÞ j0 j x2 dx2 2m X X 0 0 ¼ 2 \j l ; J j POTENT j j00 l00 ; J [ dJjl j00 l00 ðxÞ h j00 l00 where (j, l), ðj0 ; l0 Þ, J ¼ j þ l ¼ j0 þ l0 ! [60]. and   2m h2 0 0 kj0 j ¼ 2 E þ fjðj þ 1Þ  j ðj þ 1Þg : 2I h where for E, I and m ! [60] and references therein.
 
 2 Production of the algorithm In this section we will present the development of the new proposed scheme.
 
 123
 
 Journal of Mathematical Chemistry
 
  fghgn1 ¼ fghgn1  a0 h2 fbrgnþ1   2 fbrgn þ fbrgn1  2 a1 h2 fbrgn  fghgn1 ¼ fghgn1  a2 h2 fbrgnþ1   2 fbrgn þ fbrgn1  2 a3 h2 fbrgn   fghgn ¼ fghgn  a4 h2 fbrgnþ1  2 fbrgn þ fbrgn1
 
 ð4Þ
 
 fghgnþ1 þ a5 fghgn þ fghgn1    ¼ h2 b1 fbrgnþ1 þ fbrgn1 þ b0 fbrgn  where fbrgnþi ¼ fghg00 tnþi ; fghgnþi ; i ¼ 1ð1Þ1, fbrgn1 ¼ fghg00       tn1 ; fghgn1 , fbrgn1 ¼ fghg00 tn1 ; fghgn1 , fbrgn ¼ fghg00 tn ; fghgn and 1 • b0 ¼ 56, b1 ¼ 12 , • a5 ¼ 2 • aj ; j ¼ 0ð1Þ4, to be determined.
 
 Figure 1 ! The Production of the new prop		
Data Loading...