Joseph Liouville (1809–1882)
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The Cambridge Mathematical Journal and Its Descendants: the Linchpin of a Research Community in the Early and Mid-Victorian Age ✩
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector Historia Mathematica 31 (2004) 455–497 www.elsevier.com/locate/hm The Cambridge Mathematical Journal and its descendants: the linchpin of a research community in the early and mid-Victorian Age ✩ Tony Crilly ∗ Middlesex University Business School, Hendon, London NW4 4BT, UK Received 29 October 2002; revised 12 November 2003; accepted 8 March 2004 Abstract The Cambridge Mathematical Journal and its successors, the Cambridge and Dublin Mathematical Journal,and the Quarterly Journal of Pure and Applied Mathematics, were a vital link in the establishment of a research ethos in British mathematics in the period 1837–1870. From the beginning, the tension between academic objectives and economic viability shaped the often precarious existence of this line of communication between practitioners. Utilizing archival material, this paper presents episodes in the setting up and maintenance of these journals during their formative years. 2004 Elsevier Inc. All rights reserved. Résumé Dans la période 1837–1870, le Cambridge Mathematical Journal et les revues qui lui ont succédé, le Cambridge and Dublin Mathematical Journal et le Quarterly Journal of Pure and Applied Mathematics, ont joué un rôle essentiel pour promouvoir une culture de recherche dans les mathématiques britanniques. Dès le début, la tension entre les objectifs intellectuels et la rentabilité économique marqua l’existence, souvent précaire, de ce moyen de communication entre professionnels. Sur la base de documents d’archives, cet article présente les épisodes importants dans la création et l’existence de ces revues. 2004 Elsevier Inc. -
The Liouville Equation in Atmospheric Predictability
The Liouville Equation in Atmospheric Predictability Martin Ehrendorfer Institut fur¨ Meteorologie und Geophysik, Universitat¨ Innsbruck Innrain 52, A–6020 Innsbruck, Austria [email protected] 1 Introduction and Motivation It is widely recognized that weather forecasts made with dynamical models of the atmosphere are in- herently uncertain. Such uncertainty of forecasts produced with numerical weather prediction (NWP) models arises primarily from two sources: namely, from imperfect knowledge of the initial model condi- tions and from imperfections in the model formulation itself. The recognition of the potential importance of accurate initial model conditions and an accurate model formulation dates back to times even prior to operational NWP (Bjerknes 1904; Thompson 1957). In the context of NWP, the importance of these error sources in degrading the quality of forecasts was demonstrated to arise because errors introduced in atmospheric models, are, in general, growing (Lorenz 1982; Lorenz 1963; Lorenz 1993), which at the same time implies that the predictability of the atmosphere is subject to limitations (see, Errico et al. 2002). An example of the amplification of small errors in the initial conditions, or, equivalently, the di- vergence of initially nearby trajectories is given in Fig. 1, for the system discussed by Lorenz (1984). The uncertainty introduced into forecasts through uncertain initial model conditions, and uncertainties in model formulations, has been the subject of numerous studies carried out in parallel to the continuous development of NWP models (e.g., Leith 1974; Epstein 1969; Palmer 2000). In addition to studying the intrinsic predictability of the atmosphere (e.g., Lorenz 1969a; Lorenz 1969b; Thompson 1985a; Thompson 1985b), efforts have been directed at the quantification or predic- tion of forecast uncertainty that arises due to the sources of uncertainty mentioned above (see the review papers by Ehrendorfer 1997 and Palmer 2000, and Ehrendorfer 1999). -
The Tangled Tale of Phase Space David D Nolte, Purdue University
Purdue University From the SelectedWorks of David D Nolte Spring 2010 The Tangled Tale of Phase Space David D Nolte, Purdue University Available at: https://works.bepress.com/ddnolte/2/ Preview of Chapter 6: DD Nolte, Galileo Unbound (Oxford, 2018) The tangled tale of phase space David D. Nolte feature Phase space has been called one of the most powerful inventions of modern science. But its historical origins are clouded in a tangle of independent discovery and misattributions that persist today. David Nolte is a professor of physics at Purdue University in West Lafayette, Indiana. Figure 1. Phase space , a ubiquitous concept in physics, is espe- cially relevant in chaos and nonlinear dynamics. Trajectories in phase space are often plotted not in time but in space—as rst- return maps that show how trajectories intersect a region of phase space. Here, such a rst-return map is simulated by a so- called iterative Lozi mapping, (x, y) (1 + y − x/2, −x). Each color represents the multiple intersections of a single trajectory starting from dierent initial conditions. Hamiltonian Mechanics is geometry in phase space. ern physics (gure 1). The historical origins have been further —Vladimir I. Arnold (1978) obscured by overly generous attribution. In virtually every textbook on dynamics, classical or statistical, the rst refer- Listen to a gathering of scientists in a hallway or a ence to phase space is placed rmly in the hands of the French coee house, and you are certain to hear someone mention mathematician Joseph Liouville, usually with a citation of the phase space. -
Bertrand and the Long Run Roberto Burguet József Sákovics August 2014
Bertrand and the Long Run Roberto Burguet József Sákovics August 2014 Barcelona GSE Working Paper Series Working Paper nº 777 Bertrand and the long run Roberto Burguety and József Sákovicsz August 11, 2014 Abstract We propose a new model of simultaneous price competition, based on firms offering personalized prices to consumers. In a market for a homogeneous good and decreasing returns, the unique equilibrium leads to a uniform price equal to the marginal cost of each firm, at their share of the market clearing quantity. Using this result for the short-run competition, we then investigate the long- run investment decisions of the firms. While there is underinvestment, the overall outcome is more competitive than the Cournot model competition. Moreover, as the number of firms grows we approach the competitive long- run outcome. Keywords: price competition, personalized prices, marginal cost pricing JEL numbers: D43, L13 We have benefited from fruitful discussions with Carmen Matutes. Burguet greatefully acknowledges financial support from the Spanish Ministry of Science and Innovation (Grant: ECO2011-29663), and the Generalitat de Catalunya (SGR 2014-2017). yInstitute for Economic Analysis, CSIC, and Barcelona GSE zThe University of Edinburgh 1 1 Introduction In this paper we take a fresh look at markets where the firms compete in prices to attract consumers. This is an elemental topic of industrial organization that has been thoroughly investigated, ever since the original contribution of Cournot (1838).1 Our excuse for re-opening the case is that we offer a fundamentally new way of modelling price competition, which naturally leads to a unique equilibrium with price equal to (perhaps non constant) marginal cost. -
Solving the Hard Problem of Bertrand's Paradox
Solving the hard problem of Bertrand's paradox Diederik Aerts Center Leo Apostel for Interdisciplinary Studies and Department of Mathematics, Brussels Free University, Brussels, Belgium∗ Massimiliano Sassoli de Bianchi Laboratorio di Autoricerca di Base, Lugano, Switzerlandy (Dated: June 30, 2014) Bertrand's paradox is a famous problem of probability theory, pointing to a possible inconsistency in Laplace's principle of insufficient reason. In this article we show that Bertrand's paradox contains two different problems: an \easy" problem and a \hard" problem. The easy problem can be solved by formulating Bertrand's question in sufficiently precise terms, so allowing for a non ambiguous modelization of the entity subjected to the randomization. We then show that once the easy problem is settled, also the hard problem becomes solvable, provided Laplace's principle of insufficient reason is applied not to the outcomes of the experiment, but to the different possible \ways of selecting" an interaction between the entity under investigation and that producing the randomization. This consists in evaluating a huge average over all possible \ways of selecting" an interaction, which we call a universal average. Following a strategy similar to that used in the definition of the Wiener measure, we calculate such universal average and therefore solve the hard problem of Bertrand's paradox. The link between Bertrand's problem of probability theory and the measurement problem of quantum mechanics is also briefly discussed. I. STATING THE PROBLEM The so-called (by Poincar´e) Bertrand's paradox describes a situation where a same probability question receives different, apparently correct, but mutually incompatible, answers. -
Siméon-Denis Poisson Mathematics in the Service of Science
S IMÉ ON-D E N I S P OISSON M ATHEMATICS I N T H E S ERVICE O F S CIENCE E XHIBITION AT THE MATHEMATICS LIBRARY U NIVE RSIT Y O F I L L I N O I S A T U RBANA - C HAMPAIGN A U G U S T 2014 Exhibition on display in the Mathematics Library of the University of Illinois at Urbana-Champaign 4 August to 14 August 2014 in association with the Poisson 2014 Conference and based on SIMEON-DENIS POISSON, LES MATHEMATIQUES AU SERVICE DE LA SCIENCE an exhibition at the Mathematics and Computer Science Research Library at the Université Pierre et Marie Curie in Paris (MIR at UPMC) 19 March to 19 June 2014 Cover Illustration: Portrait of Siméon-Denis Poisson by E. Marcellot, 1804 © Collections École Polytechnique Revised edition, February 2015 Siméon-Denis Poisson. Mathematics in the Service of Science—Exhibition at the Mathematics Library UIUC (2014) SIMÉON-DENIS POISSON (1781-1840) It is not too difficult to remember the important dates in Siméon-Denis Poisson’s life. He was seventeen in 1798 when he placed first on the entrance examination for the École Polytechnique, which the Revolution had created four years earlier. His subsequent career as a “teacher-scholar” spanned the years 1800-1840. His first publications appeared in the Journal de l’École Polytechnique in 1801, and he died in 1840. Assistant Professor at the École Polytechnique in 1802, he was named Professor in 1806, and then, in 1809, became a professor at the newly created Faculty of Sciences of the Université de Paris. -
Transcendental Numbers
INTRODUCTION TO TRANSCENDENTAL NUMBERS VO THANH HUAN Abstract. The study of transcendental numbers has developed into an enriching theory and constitutes an important part of mathematics. This report aims to give a quick overview about the theory of transcen- dental numbers and some of its recent developments. The main focus is on the proof that e is transcendental. The Hilbert's seventh problem will also be introduced. 1. Introduction Transcendental number theory is a branch of number theory that concerns about the transcendence and algebraicity of numbers. Dated back to the time of Euler or even earlier, it has developed into an enriching theory with many applications in mathematics, especially in the area of Diophantine equations. Whether there is any transcendental number is not an easy question to answer. The discovery of the first transcendental number by Liouville in 1851 sparked up an interest in the field and began a new era in the theory of transcendental number. In 1873, Charles Hermite succeeded in proving that e is transcendental. And within a decade, Lindemann established the tran- scendence of π in 1882, which led to the impossibility of the ancient Greek problem of squaring the circle. The theory has progressed significantly in recent years, with answer to the Hilbert's seventh problem and the discov- ery of a nontrivial lower bound for linear forms of logarithms of algebraic numbers. Although in 1874, the work of Georg Cantor demonstrated the ubiquity of transcendental numbers (which is quite surprising), finding one or proving existing numbers are transcendental may be extremely hard. In this report, we will focus on the proof that e is transcendental. -
Arithmetic and Memorial Practices by and Around Sophie Germain in the 19Th Century Jenny Boucard
Arithmetic and Memorial Practices by and around Sophie Germain in the 19th Century Jenny Boucard To cite this version: Jenny Boucard. Arithmetic and Memorial Practices by and around Sophie Germain in the 19th Century. Eva Kaufholz-Soldat & Nicola Oswald. Against All Odds.Women’s Ways to Mathematical Research Since 1800, Springer-Verlag, pp.185-230, 2020. halshs-03195261 HAL Id: halshs-03195261 https://halshs.archives-ouvertes.fr/halshs-03195261 Submitted on 10 Apr 2021 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Arithmetic and Memorial Practices by and around Sophie Germain in the 19th Century Jenny Boucard∗ Published in 2020 : Boucard Jenny (2020), “Arithmetic and Memorial Practices by and around Sophie Germain in the 19th Century”, in Eva Kaufholz-Soldat Eva & Nicola Oswald (eds), Against All Odds. Women in Mathematics (Europe, 19th and 20th Centuries), Springer Verlag. Preprint Version (2019) Résumé Sophie Germain (1776-1831) is an emblematic example of a woman who produced mathematics in the first third of the nineteenth century. Self-taught, she was recognised for her work in the theory of elasticity and number theory. After some biographical elements, I will focus on her contribution to number theory in the context of the mathematical practices and social positions of the mathematicians of her time. -
6A. Mathematics
19-th Century ROMANTIC AGE Mathematics Collected and edited by Prof. Zvi Kam, Weizmann Institute, Israel The 19th century is called “Romantic” because of the romantic trend in literature, music and arts opposing the rationalism of the 18th century. The romanticism adored individualism, folklore and nationalism and distanced itself from the universality of humanism and human spirit. Coming back to nature replaced the superiority of logics and reasoning human brain. In Literature: England-Lord byron, Percy Bysshe Shelly Germany –Johann Wolfgang von Goethe, Johann Christoph Friedrich von Schiller, Immanuel Kant. France – Jean-Jacques Rousseau, Alexandre Dumas (The Hunchback from Notre Dam), Victor Hugo (Les Miserable). Russia – Alexander Pushkin. Poland – Adam Mickiewicz (Pan Thaddeus) America – Fennimore Cooper (The last Mohican), Herman Melville (Moby Dick) In Music: Germany – Schumann, Mendelsohn, Brahms, Wagner. France – Berlioz, Offenbach, Meyerbeer, Massenet, Lalo, Ravel. Italy – Bellini, Donizetti, Rossini, Puccini, Verdi, Paganini. Hungary – List. Czech – Dvorak, Smetana. Poland – Chopin, Wieniawski. Russia – Mussorgsky. Finland – Sibelius. America – Gershwin. Painters: England – Turner, Constable. France – Delacroix. Spain – Goya. Economics: 1846 - The American Elias Howe Jr. builds the general purpose sawing machine, launching the clothing industry. 1848 – The communist manifest by Karl Marks & Friedrich Engels is published. Describes struggle between classes and replacement of Capitalism by Communism. But in the sciences, the Romantic era was very “practical”, and established in all fields the infrastructure for the modern sciences. In Mathematics – Differential and Integral Calculus, Logarithms. Theory of functions, defined over Euclidian spaces, developed the field of differential equations, the quantitative basis of physics. Matrix Algebra developed formalism for transformations in space and time, both orthonormal and distortive, preparing the way to Einstein’s relativity. -
Cournot-Bertrand Debate”: a Historical Perspective Jean Magnan De Bornier
History of Political Economy The “Cournot-Bertrand Debate”: A Historical Perspective Jean Magnan de Bornier 1. Introduction The distinction between models in terms of quantity and models in terms of price is a classical and well-established one in modern oli- gopoly theory. The former had its origin in Antoine Augustin Cour- not’s Recherches sur les Principes Mathe‘matiques de la The‘orie des Richesses (1838), while the latter is the result of criticism of Cournot’s book that Joseph Bertrand provided in a review published in 1883.’ The accepted version is that Cournot believed that producers in an oligopoly decide their policy assuming that other producers will main- tain their output at its existing level, while Bertrand considered it more realistic to assume that producers act on the belief that competitors will maintain their price rather than their output. According to W. Fellner (1949), “As is well known, the Cournot so- lution is based on the assumption that (in undifferentiated duopoly) each duopolist believes that his rival will go on producing a definite quantity irrespective of the quantity he produces. Obviously in these circumstances each duopolist believes that he can calculate the quan- 1. An English translation of Bertrand’s text is provided in an appendix to this article. Correspondence may be addressed to Jean Magnan de Bornier, FacultC d’konomie Appli- quk, 3 Avenue Robert Schumann, 13628 Aix en Provence Cedex, France. Pierre Salmon and Philippe Mongin as well as two anonymous referees provided useful comments on an earlier version of this text. Yolande Barriez helped translate from the German; Maggie Chev- aillier and James Pritchett helped to improve my English; to all, I wish to express my thanks; of course, any remaining errors and omissions remain my responsibility. -
Marcelin Berthelot (1827-1907), Pharmacien Chimiste De La République
1 Marcelin Berthelot (1827-1907), pharmacien chimiste de la République Philippe Jaussaud1 1 EA 4148 S2HEP, Université de Lyon, Université Lyon 1, France, [email protected] RÉSUMÉ. Conduire une étude biographique moderne de Berthelot, en évitant l’écueil hagiographique et les critiques infondées, permet de dégager le caractère innovant de l’œuvre du savant. Véritable fondateur de la synthèse organique totale, Berthelot a abordé la thermochimie grâce à une approche physique et il a contribué à l’essor de la chimie végétale. Il a conçu de nombreux appareils et dispositifs expérimentaux. Cet ardent militant de la science pure n’a pas négligé les applications - notamment industrielles - de sa discipline : la pharmacie, la pétrochimie, les techniques de mesure, la fabrication des explosifs, l’hygiène et même l’imprimerie ont bénéficié de son expertise. Titulaire des deux premières chaires de « Chimie organique » créées en France - au Collège de France et à l’École supérieure de Pharmacie de Paris - et membre de trois académies, Berthelot a conduit une brillante carrière politique. Les soutiens institutionnels dont il a bénéficié lui ont permis de rendre des services à la science et à l’État. MOTS-CLÉS. Synthèse organique - Thermochimie - Chimie végétale - Pharmacie 1. Introduction : un savant controversé Pasteur a conçu de son vivant son propre Panthéon, dans l’Institut qui porte son nom. En revanche, son grand rival Berthelot n’a pas souhaité d’honneurs post mortem. La Troisième République les lui a imposés : elle a décidé que le corps du savant (décédé le 18 mars 1907) reposerait, après des funérailles nationales (le 20 mars 1907), dans un caveau de la crypte laïque que la « patrie reconnaissante » réserve aux « Grands Hommes » (le 25 mars 1907). -
Transcendental Numbers
Bachelor Thesis DEGREE IN MATHEMATICS Faculty of Mathematics University of Barcelona TRANSCENDENTAL NUMBERS Author: Adina Nedelea Director: Dr. Ricardo Garc´ıaL´opez Department: Algebra and Geometry Barcelona, June 27, 2016 Summary Transcendental numbers are a relatively recent finding in mathematics and they provide, togheter with the algebraic numbers, a classification of complex numbers. In the present work the aim is to characterize these numbers in order to see the way from they differ the algebraic ones. Going back to ancient times we will observe how, since the earliest history mathematicians worked with transcendental numbers even if they were not aware of it at that time. Finally we will describe some of the consequences and new horizons of mathematics since the apparition of the transcendental numbers. Agradecimientos El trabajo final de grado es un punto final de una etapa y me gustar´aagradecer a todas las personas que me han dado apoyo durante estos a~nosde estudios y hicieron posible que llegue hasta aqu´ı. Empezar´epor agradecer a quien hizo posible este trabajo, a mi tutor Ricardo Garc´ıa ya que sin su paciencia, acompa~namiento y ayuda me hubiera sido mucho mas dif´ıcil llevar a cabo esta tarea. Sigo con los agradecimientos hacia mi familia, sobretodo hacia mi madre quien me ofreci´ola libertad y el sustento aunque no le fuera f´acily a mi "familia adoptiva" Carles, Marilena y Ernest, quienes me ayudaron a sostener y pasar por todo el pro- ceso de maduraci´onque conlleva la carrera y no rendirme en los momentos dif´ıciles. Gracias por la paciencia y el amor de todos ellos.