Informatics and Applications
2022, Volume 16, Issue 3, pp 39-44
ON EXTREMUM SUFFICIENT CONDITIONS IN MULTIDIMENSIONAL VARIATION CALCULUS PROBLEMS
Abstract
Variation principles give formalization and general approach to construct and study the models from
different fields of knowledge. They provide system presentations about theories origins. In the models, sought-for
solution is a stationary point of a criterion. Its search on the basis of necessary conditions should not accomplish
problem investigation. Sufficient conditions are needed to assert its optimality. In natural sciences, such results
substantiate principles of energy or Hamilton's action minimization. In the paper, invariant surface integrals
discovery gave possibility to prove minimum availability in multidimensional variation calculus problems. The
functional in the problems may depend on several unknown functions of many variables and their high-order
derivatives. Classical theorems are generalized.
[+] References (4)
- El'sgol'ts, L. E. 1969. Differentsial'nye uravneniya i variatsionnoe ischislenie [Differential equations and the calculus
of variations]. Moscow: Nauka. 424 p.
- Young, L. C. 1969. Lectures on the calculus of variations and optimal control theory. Saunders. 331 p.
- Il'in, V. A., and E. G. Poznyak. 2000. Osnovy matematicheskogo analiza [Basics of mathematical analysis]. Moscow: Nauka. Part II. 448 p.
- Vasil'ev, F. P. 1980. Chislennye metody resheniya ekstremal'nykh zadach [Numerical methods for solving extremal problems]. Moscow: Nauka. 520 p.
[+] About this article
Title
ON EXTREMUM SUFFICIENT CONDITIONS IN MULTIDIMENSIONAL VARIATION CALCULUS PROBLEMS
Journal
Informatics and Applications
2022, Volume 16, Issue 3, pp 39-44
Cover Date
2022-10-10
DOI
10.14357/19922264220305
Print ISSN
1992-2264
Publisher
Institute of Informatics Problems, Russian Academy of Sciences
Additional Links
Key words
extremal; extreme hypersurface; field of normals; divergence and flow of a vector field; differential form; external differentiation; integral invariance; Lagrange multiplier
Authors
N. S. Vasilyev
Author Affiliations
N. E. Bauman Moscow State Technical University, 5-1,2nd Baumanskaya Str., Moscow 105005, Russian Federation
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