Abstract
Utilizing the Gâteaux variations from the preceding chapter, it is straightforward to characterize convexity for a function J on a subset \(\mathcal{D}\) of a linear space \(\mathcal{Y}\), such that a convex function is automatically minimized by y ∈ \(\mathcal{D}\) at which its Gâteaux variations vanish.1 Moreover, in the presence of strict convexity, there can be at most one such y. A large and useful class of functions is shown to be convex. In particular, in §3.2, the role of [strongly] convex integrands f in producing [strictly] convex integral functions F is examined, and a supply of such f is made accessible through the techniques and examples of §3.3. Moreover, the Gâteaux variations of integral functions will, in general, vanish at each solution y of an associated differential equation (of Euler-Lagrange).
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© 1983 Springer-Verlag New York Inc.
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Troutman, J.L. (1983). Minimization of Convex Functions. In: Variational Calculus with Elementary Convexity. Undergraduate Texts in Mathematics. Springer, New York, NY. https://doi.org/10.1007/978-1-4684-0158-5_4
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DOI: https://doi.org/10.1007/978-1-4684-0158-5_4
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4684-0160-8
Online ISBN: 978-1-4684-0158-5
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