1958
DOI: 10.5802/aif.77
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Théorie des distributions à valeurs vectorielles. II

Abstract: Théorie des distributions à valeurs vectorielles. II Annales de l'institut Fourier, tome 8 (1958), p. 1-209 © Annales de l'institut Fourier, 1958, tous droits réservés. L'accès aux archives de la revue « Annales de l'institut Fourier » (http://annalif.ujf-grenoble.fr/) implique l'accord avec les conditions générales d'utilisation (http://www.numdam.org/legal.php). Toute utilisation commerciale ou impression systématique est constitutive d'une infraction pénale. … Show more

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Cited by 352 publications
(497 citation statements)
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“…Indeed, Hadamard regularization is a well-established procedure in order to give sense to infinite integrals. It is not to be found in the classical books on infinite calculus by Hardy or Knopp; it was L. Schwartz [15] who popularized it, rescuing Hadamard's original papers. Nowadays, Hadamard convergence is one of the cornerstones in the rigorous formulation of QFT through micro-localization, which on its turn is considered by specialists to be the most important step towards the understanding of linear PDEs since the invention of distributions (for a beautiful, updated treatment of Hadamard's regularization see [16]).…”
Section: How To Deal With the Infinitiesmentioning
confidence: 99%
“…Indeed, Hadamard regularization is a well-established procedure in order to give sense to infinite integrals. It is not to be found in the classical books on infinite calculus by Hardy or Knopp; it was L. Schwartz [15] who popularized it, rescuing Hadamard's original papers. Nowadays, Hadamard convergence is one of the cornerstones in the rigorous formulation of QFT through micro-localization, which on its turn is considered by specialists to be the most important step towards the understanding of linear PDEs since the invention of distributions (for a beautiful, updated treatment of Hadamard's regularization see [16]).…”
Section: How To Deal With the Infinitiesmentioning
confidence: 99%
“…In the following, we will use the notation The distribution fiK is a measure if and only if pk(J~) > 0 for all / > 0, / G Cex,(S"-x), see [42]. Let g = R~xf.…”
Section: Characterizations and Inequalities Of Intersection Bodiesmentioning
confidence: 99%
“…In addition we have H ⊂ S ⊂ S ′ ⊂ Λ ∞ , where S is the Schwartz space of rapidly decreasing test functions (ref [32]). …”
Section: Distributions Of Exponential Typementioning
confidence: 99%