Abstract
In sufficient conditions and necessary conditions of optimality of higher order an essential role is played by polynomials. Let (X 1,‖ · ‖1), (X 2,‖ · ‖2),..., (X n ,‖ · ‖ n ), (Y,‖ · ‖ Y ) be Banach spaces. If it does not lead to any misunderstanding we shall write the norms ‖ · ‖1,..., ‖ · ‖n, ‖ · ‖Y as ‖ · ‖. An n-linear operator is an operator F(x 1,..., x n ) mapping the Cartesian product X 1 ×...; × X n into Y such that for the all variables fixed except one, x i = x 0 i for i ≠ i 0, F(x 01 , ...,x 00−I , xi0, x 00+I , ..., x 0n is a linear operator mapping \({X_{{i_0}}}\) into the space Y. In the sequel we shall consider only continuous n-linear operators. When Y is a field of scalars, n-linear operators are called n-linear forms. 2-linear forms will be called also bilinear forms.
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© 1997 Springer Science+Business Media Dordrecht
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Pallaschke, D., Rolewicz, S. (1997). Polynomials. Necessary and sufficient conditions of optimality of higher order. In: Foundations of Mathematical Optimization. Mathematics and Its Applications, vol 388. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-1588-1_7
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DOI: https://doi.org/10.1007/978-94-017-1588-1_7
Publisher Name: Springer, Dordrecht
Print ISBN: 978-90-481-4800-4
Online ISBN: 978-94-017-1588-1
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