2018
DOI: 10.1063/1.5021949
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Newton’s second law and the multiplication of distributions

Abstract: Newton’s second law is applied to study the motion of a particle subjected to a time dependent impulsive force containing a Dirac delta distribution. Within this setting, we prove that this problem can be rigorously solved neither by limit processes nor by using the theory of distributions (limited to the classical Schwartz products). However, using a distributional multiplication, not defined by a limit process, a rigorous solution emerges.

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Cited by 12 publications
(6 citation statements)
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“…In this direction, we also mention the -product by Sarricco (see e.g. [ 51 , 52 , 57 , 58 ] and references therein) which is applied in the case of various systems of conservation laws and similar equations and which works in the case of fully nonlinear equation (i.e. nonlinear with respect to all unknowns).…”
Section: Introductionmentioning
confidence: 99%
“…In this direction, we also mention the -product by Sarricco (see e.g. [ 51 , 52 , 57 , 58 ] and references therein) which is applied in the case of various systems of conservation laws and similar equations and which works in the case of fully nonlinear equation (i.e. nonlinear with respect to all unknowns).…”
Section: Introductionmentioning
confidence: 99%
“…So we may visualize the distinction between the delta shock wave to the ordinary shock wave as more characteristics enter the delta shock wave than the latter. Diverse methods can be used to explore system of hyperbolic conservation laws in the context of Riemann problem such as vanishing pressure limit method, [14][15][16][17][18] weak asymptotic method, 19 distributional product method, 20,21 flux approximation method, [22][23][24][25] split delta function method, 26,27 etc. In Joseph and Sahoo, 28 vanishing viscosity method is used for a system consisting of four conservation laws.…”
Section: Introductionmentioning
confidence: 99%
“…It may even happen that those weak limits cannot be substituted into equations or systems owing to the well known difficulties of multiplying distributions. On top of that, limit processes involving sequences of continuous functions may not yield to mathematically consistent solutions (see [13], Section II). Our method overcome those difficulties, as we will explain.…”
Section: Introduction and Contentsmentioning
confidence: 99%