
doi: 10.1063/1.528457
As is well known, the binomial theorem is a classical mathematical relation that can be straightforwardly proved by induction or through a Taylor expansion, albeit it remains valid as long as [A,B]=0. In order to generalize such an important equation to cases where [A,B]≠0, an algebraic approach based on Cauchy’s integral theorem in conjunction with the Baker–Campbell–Hausdorff series is presented that allows a partial extension of the binomial theorem when the commutator [A,B]=c, where c is a constant. Some useful applications of the new proposed generalized binomial formula, such as energy eigenvalues and matrix elements of power, exponential, Gaussian, and arbitrary f(x̂) functions in the one-dimensional harmonic oscillator representation are given. The results here obtained prove to be consistent in comparison to other analytical methods.
Miscellaneous applications of functional analysis, Baker-Campbell-Hausdorff series, matrix elements, generalized binomial formula, commutator, Commutators, derivations, elementary operators, etc., Cauchy's integral theorem, binomial theorem, energy eigenvalues, one-dimensional harmonic oscillator representation, Commutation relations and statistics as related to quantum mechanics (general)
Miscellaneous applications of functional analysis, Baker-Campbell-Hausdorff series, matrix elements, generalized binomial formula, commutator, Commutators, derivations, elementary operators, etc., Cauchy's integral theorem, binomial theorem, energy eigenvalues, one-dimensional harmonic oscillator representation, Commutation relations and statistics as related to quantum mechanics (general)
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 16 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
