Advanced Methods in the Fractional Calculus of Variations by Agnieszka B. Malinowska, Tatiana Odzijewicz, Delfim F.M.

By Agnieszka B. Malinowska, Tatiana Odzijewicz, Delfim F.M. Torres

This short offers a common unifying standpoint at the fractional calculus. It brings jointly result of a number of fresh techniques in generalizing the least motion precept and the Euler–Lagrange equations to incorporate fractional derivatives.

The dependence of Lagrangians on generalized fractional operators in addition to on classical derivatives is taken into account besides nonetheless extra normal difficulties during which integer-order integrals are changed by means of fractional integrals. normal theorems are got for different types of variational difficulties for which fresh effects built within the literature should be bought as specified situations. particularly, the authors supply helpful optimality stipulations of Euler–Lagrange style for the elemental and isoperimetric difficulties, transversality stipulations, and Noether symmetry theorems. The life of suggestions is verified lower than Tonelli kind stipulations. the implications are used to end up the life of eigenvalues and corresponding orthogonal eigenfunctions of fractional Sturm–Liouville problems.

Advanced tools within the Fractional Calculus of adaptations is a self-contained textual content on the way to be invaluable for graduate scholars wishing to benefit approximately fractional-order structures. The exact motives will curiosity researchers with backgrounds in utilized arithmetic, keep watch over and optimization in addition to in definite components of physics and engineering.

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Extra resources for Advanced Methods in the Fractional Calculus of Variations

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Dα N [y](t), y(t), t dt. 6) a Using the fractional variational principle, she derived the Euler–Lagrange equation given by N Dαi [∂i F] = 0. 7) i=1 As an example, Klimek considered the variational functional b 1 2m y˙ 2 (t) − γi D 2 [y](t) J (y) = 2 − V (y(t)) dt a and, under appropriate assumptions, she arrived to the equation with linear friction: m y¨ = − ∂V − γ y. 8) Another type of problems, containing Riemann–Liouville fractional derivatives, was discussed by Klimek (2009): b F(a Dtα1 [y](t), .

The Publishing Office of Czestochowa University of Technology, Czestochowa Klimek M, Lupa M (2013) Reflection symmetric formulation of generalized fractional variational calculus. Fract Calc Appl Anal 16(1):243–261 Lacroix SF (1819) Traite du calcul differentiel et du calcul integral. Paris: Mme. VeCourcier, second edition 3:409–410 Lorenzo CF, Hartley TT (2002) Variable order and distributed order fractional operators. Nonlinear Dyn 29(1–4):57–98 Odzijewicz T, Malinowska AB, Torres DFM (2012a) Generalized fractional calculus with applications to the calculus of variations.

With this function η2 and an arbitrary η1 ∈ A(0, 0), let us define functions φ : [−ε1 , ε1 ] × [−ε2 , ε2 ] −→ R (h 1 , h 2 ) −→ I(y¯ + h 1 η1 + h 2 η2 ) and ψ : [−ε1 , ε1 ] × [−ε2 , ε2 ] −→ R (h 1 , h 2 ) −→ J (y¯ + h 1 η1 + h 2 η2 ) − ξ. Observe that ψ(0, 0) = 0 and ∂ψ ∂h 2 b (0,0) ∂1 G( y¯ )(t) + K P ∗ ∂2 G( y¯ )(τ ) (t) · η2 (t) = a + ∂3 G( y¯ )(t) + K P ∗ ∂4 G( y¯ )(τ ) (t) · η˙2 (t) dt = 1. According to the implicit function theorem we can find s ∈ C 1 ([−ε0 , ε0 ]; R) with s(0) = 0 such that 0 > 0 and a function ψ(h 1 , s(h 1 )) = 0, ∀h 1 ∈ [−ε0 , ε0 ] which implies that y¯ + h 1 η1 + s(h 1 )η2 ∈ Aξ (ya , yb ).

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