Fractional Nonlinear Schrodinger Equation Revisited
Morteza Nattagh Najafi, Fatemeh Foroughirad

TL;DR
This paper explores the fractional nonlinear Schrödinger equation using analytical methods, revealing diverse solution structures, stability properties, and connections to stochastic processes and quantum statistics.
Contribution
It introduces new analytical solutions and classifications for the fractional nonlinear Schrödinger equation, including solitons and plane waves, and links it to fractional Fokker-Planck equations.
Findings
Bright and dark solitons are constructed and their stability analyzed.
Solutions transition from bright to dark as memory effects vary.
Connections established between FNLSE and fractional stochastic processes.
Abstract
We investigate the space time fractional nonlinear Schrodinger equation (FNLSE) incorporating the modified Riemann Liouville derivative introduced by Jumari. The equation is characterized by two parameters: the fractional derivative parameter (alpha, which captures the memory effects) and the non linearity parameter a. We present analytical solutions via three complementary approaches: the fractional Riccati method, the Adomian decomposition method, and the scaling method. The FNLSE is formulated in terms of generalized Hamiltonian and momentum operators, allowing a unified framework to explore various solution structures. A continuity equation is derived, and a general class of solutions based on Mittag Leffler (ML) plane waves is proposed, from which generalized momentum and energy eigenvalues are systematically classified. Utilizing a generalized Wick rotation, we establish a…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsFractional Differential Equations Solutions · Mathematical and Theoretical Analysis
