An attempt to apply variational perturbation techniques to the problem of determining possible effects of time-dependent coefficients in the governing stability and dynamic load equations of boost vehicles. A general class of extended functional variations is considered, wherein the Lagrangian functions defining the action functionals are assumed to depend on the independent variables and on a collection of geometric objects defined over the range space of the independent variables. Such extended functional variations arise when one subjects the Lagrangian function to transformations in its arguments resulting from coordinate transformations, variations of the collection of geometric objects, or a confluence of the two. The result of principal applicability to the boost-vehicle problem is the establishment of the uniformality of the variational perturbation technique
This report is part of the RAND Corporation Research memorandum series. The Research Memorandum was a product of the RAND Corporation from 1948 to 1973 that represented working papers meant to report current results of RAND research to appropriate audiences.
Our mission to help improve policy and decisionmaking through research and analysis is enabled through our core values of quality and objectivity and our unwavering commitment to the highest level of integrity and ethical behavior. To help ensure our research and analysis are rigorous, objective, and nonpartisan, we subject our research publications to a robust and exacting quality-assurance process; avoid both the appearance and reality of financial and other conflicts of interest through staff training, project screening, and a policy of mandatory disclosure; and pursue transparency in our research engagements through our commitment to the open publication of our research findings and recommendations, disclosure of the source of funding of published research, and policies to ensure intellectual independence. For more information, visit www.rand.org/about/principles.
The RAND Corporation is a nonprofit institution that helps improve policy and decisionmaking through research and analysis. RAND's publications do not necessarily reflect the opinions of its research clients and sponsors.