2010
DOI: 10.1016/j.amc.2010.01.100
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Fractional Noether’s theorem in the Riesz–Caputo sense

Abstract: We prove a Noether's theorem for fractional variational problems with Riesz-Caputo derivatives. Both Lagrangian and Hamiltonian formulations are obtained. Illustrative examples in the fractional context of the calculus of variations and optimal control are given.

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Cited by 117 publications
(105 citation statements)
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“…They all share one common hey are all defined on an interval contrary to integer order differential operators defined following part of this paper the Caputo's type derivative over the interval (a, b) is conall such operator Riesz-Caputo (RC) derivative cf. [58] and its definition includes linear f left and right Caputo's derivatives, namely…”
Section: X1mentioning
confidence: 99%
See 1 more Smart Citation
“…They all share one common hey are all defined on an interval contrary to integer order differential operators defined following part of this paper the Caputo's type derivative over the interval (a, b) is conall such operator Riesz-Caputo (RC) derivative cf. [58] and its definition includes linear f left and right Caputo's derivatives, namely…”
Section: X1mentioning
confidence: 99%
“…We call such operator Riesz-Caputo (RC) derivative cf. [58] and its definition includes linear combination of left and right Caputo's derivatives, namely…”
Section: Riesz-caputo Fractional Derivativementioning
confidence: 99%
“…For a continuous function g(t) on the [a, b] interval, left Caputo derivative of order α > 0 is defined as follows [31,32]:…”
Section: Sirv Model With Historical Effectsmentioning
confidence: 99%
“…This is possible through a powerful tool known as the Euler-Lagrange equation [33]. Recently the theory of the calculus of variations has been considered in the fractional context [7,8,10,11,12,13,14,23,25,27,32]. The fractional calculus allows to generalize the ordinary differentiation and integration to an arbitrary (non-integer) order, and provides a powerful tool for modeling and solving various problems in science and engineering [28,29,31].…”
Section: Introductionmentioning
confidence: 99%