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.
Skip Nav Destination
Article navigation
February 1989
Research Article|
February 01 1989
The generalization of the binomial theorem
J. Morales;
J. Morales
Instituto Mexicano del Petróleo, Investigación Básica de Procesos, Apartado Postal 14‐805 07730, Mexico D. F., Mexico
Search for other works by this author on:
A. Flores‐Riveros
A. Flores‐Riveros
Instituto Mexicano del Petróleo, Investigación Básica de Procesos, Apartado Postal 14‐805 07730, Mexico D. F., Mexico
Search for other works by this author on:
J. Math. Phys. 30, 393–397 (1989)
Article history
Received:
May 24 1988
Accepted:
September 07 1988
Citation
J. Morales, A. Flores‐Riveros; The generalization of the binomial theorem. J. Math. Phys. 1 February 1989; 30 (2): 393–397. https://doi.org/10.1063/1.528457
Download citation file:
Pay-Per-View Access
$40.00
Sign In
You could not be signed in. Please check your credentials and make sure you have an active account and try again.
Citing articles via
Cascades of scales: Applications and mathematical methodologies
Luigi Delle Site, Rupert Klein, et al.
New directions in disordered systems: A conference in honor of Abel Klein
A. Elgart, F. Germinet, et al.
Related Content
Generalized binomial distributions
J. Math. Phys. (April 2000)
New sorting algorithm revisited with binomial and quasi binomial inputs
AIP Conference Proceedings (June 2022)
Comparison between binomial generalized linear mixmodels (binomial GLMM) and Beta-Binomial hierarchical generalized linear model (Beta- BinomialHGLM) for modeling poverty data in West Java
AIP Conference Proceedings (December 2022)
Alternative proposed bivariate negative binomial distribution
AIP Conf. Proc. (August 2024)
Zero-truncated negative binomial - Erlang distribution
AIP Conference Proceedings (November 2017)