The Energy Level Shifts, Wave Functions and the Probability Current Distributions for the Bound Scalar and Spinor Particles Moving in a Uniform Magnetic Field
V.N.Rodionov, G.A.Kravtsova

TL;DR
This paper analyzes the effects of uniform magnetic fields on bound scalar and spinor particles, deriving energy level shifts, wave functions, and probability current distributions, highlighting differences due to spin and field strength.
Contribution
It provides new analytical equations for spin-1/2 particle binding energies without boundary conditions and explores magnetic field effects on electron states and currents.
Findings
Magnetic fields stabilize weakly bound states but destabilize strongly bound states.
Derived explicit energy level displacements showing nonlinear dependence on field strength.
Analyzed probability current distributions and their experimental implications.
Abstract
We discuss the equations for the bound one-active electron states based on the analytic solutions of the Schrodinger and Pauli equations for a uniform magnetic field and a single attractive -potential. It is vary important that ground electron states in the magnetic field differ essentially from the analogous state of spin-0 particles, whose binding energy was intensively studied more than forty years ago. We show that binding energy equations for spin-1/2 particles can be obtained without using the language of boundary conditions in the -potential model developed in pioneering works. We use the obtained equations to calculate the energy level displacements analytically and demonstrate nonlinear dependencies on field intensity. We show that the magnetic field indeed plays a stabilizing role in considered systems in a case of the weak intensity, but the opposite…
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.
