MATHEMATICAL PREPARATION COURSE Before Studying

2y ago
85 Views
2 Downloads
2.45 MB
278 Pages
Last View : 1m ago
Last Download : 3m ago
Upload by : Brenna Zink
Transcription

MATHEMATICALPREPARATION COURSEbefore studying PhysicsAccompanying Booklet to the Online Course:www.thphys.uni-heidelberg.de/ hefft/vk1without Animations, Function Plotterand Solutions of the ExercisesKlaus HefftInstitute of Theoretical PhysicsUniversity of HeidelbergPlease send error messages tok.hefft@thphys.uni-heidelberg.deSeptember 16, 2020

Contents1 MEASURING:Measured Value and Measuring Unit51.1The Empirical Method . . . . . . . . . . . . . . . . . . . . . . . . . . . . .51.2Physical Quantities . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .61.3Units . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .71.4Order of Magnitude . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .92 SIGNS AND NUMBERSand Their Linkages132.1Signs . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 132.2Numbers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 162.2.1Natural Numbers . . . . . . . . . . . . . . . . . . . . . . . . . . . . 162.2.2Integers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 182.2.3Rational Numbers2.2.4Real Numbers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24. . . . . . . . . . . . . . . . . . . . . . . . . . . 203 SEQUENCES AND SERIESand Their Limits273.1Sequences . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 273.2Boundedness3.3Monotony . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 303.4Convergence . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 303.5Series. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32i

4 FUNCTIONS394.1The Function as Input-Output Relation or Mapping . . . . . . . . . . . . . 394.2Basic Set of Functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 434.2.1Rational Functions . . . . . . . . . . . . . . . . . . . . . . . . . . . 434.2.2Trigonometric Functions . . . . . . . . . . . . . . . . . . . . . . . . 454.2.3Exponential Functions . . . . . . . . . . . . . . . . . . . . . . . . . 484.2.4Functions with Kinks and Cracks . . . . . . . . . . . . . . . . . . . 524.3Nested Functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 554.4Mirror Symmetry . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 584.5Boundedness4.6Monotony . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 604.7Bi-uniqueness . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 614.8Inverse Functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 624.9. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 594.8.1Roots . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 644.8.2Cyclometric Functions . . . . . . . . . . . . . . . . . . . . . . . . . 644.8.3Logarithms . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66Limits . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 714.10 Continuity . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 745 DIFFERENTIATION775.1Differential quotient. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 775.2Differential Quotient . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 805.3Differentiability . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 825.4Higher Derivatives . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 855.5The Technique of Differentiation . . . . . . . . . . . . . . . . . . . . . . . . 865.5.1Four Examples . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 865.5.2Simple Differentiation Rules: Basic Set of Functions . . . . . . . . . 885.5.3Chain and Inverse Function Rules . . . . . . . . . . . . . . . . . . . 925.6Numerical Differentiation . . . . . . . . . . . . . . . . . . . . . . . . . . . . 995.7Preview of Differential Equations . . . . . . . . . . . . . . . . . . . . . . . 99ii

6 TAYLOR SERIES1036.1Power Series . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1036.2Geometric Series as Model . . . . . . . . . . . . . . . . . . . . . . . . . . . 1046.3Form and Non-ambiguity . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1046.4Examples from the Basic Set of Functions . . . . . . . . . . . . . . . . . . 1076.4.1Rational Functions . . . . . . . . . . . . . . . . . . . . . . . . . . . 1076.4.2Trigonometric Functions . . . . . . . . . . . . . . . . . . . . . . . . 1086.4.3Exponential Functions . . . . . . . . . . . . . . . . . . . . . . . . . 1096.4.4Further Taylor Series . . . . . . . . . . . . . . . . . . . . . . . . . . 1116.5Convergence Radius. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1126.6Accurate Rules for Inaccurate Calculations . . . . . . . . . . . . . . . . . . 1136.7Quality of Convergence: the Remainder Term . . . . . . . . . . . . . . . . 1166.8Taylor Series around an Arbitrary Point . . . . . . . . . . . . . . . . . . . 1177 INTEGRATION1217.1Work . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1217.2Area under a Function over an Interval . . . . . . . . . . . . . . . . . . . . 1237.3Properties of the Riemann Integral . . . . . . . . . . . . . . . . . . . . . . 1267.47.57.3.1Linearity . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1267.3.2Interval Addition . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1277.3.3Inequalities . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1287.3.4Mean Value Theorem of the Integral Calculus . . . . . . . . . . . . 129Fundamental Theorem of Differential and Integral Calculus . . . . . . . . . 1307.4.1Indefinite Integral . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1307.4.2Differentiation with Respect to the Upper Border . . . . . . . . . . 1317.4.3Integration of a Differential Quotient . . . . . . . . . . . . . . . . . 1317.4.4Primitive Function . . . . . . . . . . . . . . . . . . . . . . . . . . . 134The Art of Integration . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 135iii

7.67.5.1Differentiation Table Backwards . . . . . . . . . . . . . . . . . . . . 1357.5.2Linear Decomposition . . . . . . . . . . . . . . . . . . . . . . . . . 1367.5.3Substitution . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1377.5.4Partial Integration . . . . . . . . . . . . . . . . . . . . . . . . . . . 1417.5.5Further Integration Tricks . . . . . . . . . . . . . . . . . . . . . . . 1437.5.6Integral Functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1467.5.7Numerical Integration . . . . . . . . . . . . . . . . . . . . . . . . . 147Improper Integrals . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1487.6.1Infinite Integration Interval . . . . . . . . . . . . . . . . . . . . . . 1487.6.2Unbounded Integrand . . . . . . . . . . . . . . . . . . . . . . . . . 1508 COMPLEX NUMBERS8.18.28.3155Imaginary Unit and Illustrations . . . . . . . . . . . . . . . . . . . . . . . . 1558.1.1Motivation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1558.1.2Imaginary Unit . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1568.1.3Definition of complex numbers . . . . . . . . . . . . . . . . . . . . . 1578.1.4Gauss Number Plane . . . . . . . . . . . . . . . . . . . . . . . . . . 1588.1.5Euler’s Formula . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1618.1.6Complex Conjugation. . . . . . . . . . . . . . . . . . . . . . . . . 162Calculation Rules of Complex Numbers . . . . . . . . . . . . . . . . . . . . 1648.2.1Abelian Group of Addition . . . . . . . . . . . . . . . . . . . . . . . 1648.2.2Abelian Group of Multiplication . . . . . . . . . . . . . . . . . . . . 167Functions of a Complex Variable . . . . . . . . . . . . . . . . . . . . . . . 1738.3.1Definition . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1738.3.2Limits and Continuity . . . . . . . . . . . . . . . . . . . . . . . . . 1748.3.3Graphic Illustration . . . . . . . . . . . . . . . . . . . . . . . . . . . 1758.3.4Powers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1758.3.5Exponential Function . . . . . . . . . . . . . . . . . . . . . . . . . . 180iv

8.3.6Trigonometric Functions . . . . . . . . . . . . . . . . . . . . . . . . 1818.3.7Roots . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1918.3.8Logarithms . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1938.3.9General Power . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1949 VECTORS9.19.29.39.49.5195Three-dimensional Euclidean Space . . . . . . . . . . . . . . . . . . . . . . 1959.1.1Three-dimensional Real Space . . . . . . . . . . . . . . . . . . . . . 1959.1.2Coordinate Systems . . . . . . . . . . . . . . . . . . . . . . . . . . . 1959.1.3Euclidean Space . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1969.1.4Transformations of the Coordinate System . . . . . . . . . . . . . . 198Vectors as Displacements . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2049.2.1Displacements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2049.2.2Vectors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2049.2.3Transformations of the Coordinate Systems . . . . . . . . . . . . . 207Addition of Vectors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2219.3.1Vector Sum . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2219.3.2Commutative Law . . . . . . . . . . . . . . . . . . . . . . . . . . . 2229.3.3Associative Law . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2239.3.4Zero-vector . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2249.3.5Negatives and Subtraction . . . . . . . . . . . . . . . . . . . . . . . 224Multiplication with Real Numbers, Basis Vectors . . . . . . . . . . . . . . 2259.4.1Multiple of a Vector . . . . . . . . . . . . . . . . . . . . . . . . . . 2259.4.2Laws . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2269.4.3Vector Space . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2269.4.4Linear Dependence, Basis Vectors . . . . . . . . . . . . . . . . . . . 2279.4.5Unit Vectors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 228Scalar Product and the Kronecker Symbol . . . . . . . . . . . . . . . . . . 230v

9.5.1Motivation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2309.5.2Definition . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2309.5.3Commutative Law . . . . . . . . . . . . . . . . . . . . . . . . . . . 2329.5.4No Associative Law . . . . . . . . . . . . . . . . . . . . . . . . . . . 2329.5.5Homogeneity . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2339.5.6Distributive Law . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2339.5.7Basis Vectors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2349.5.8Kronecker Symbol . . . . . . . . . . . . . . . . . . . . . . . . . . . 2349.5.9Component Representation . . . . . . . . . . . . . . . . . . . . . . 2359.5.10 Transverse Part . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2379.5.11 No Inverse . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2389.6Vector Product and the Levi-Civita Symbol . . . . . . . . . . . . . . . . . 2399.6.1Motivation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2399.6.2Definition . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2409.6.3Anticommutative . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2439.6.4Homogeneity . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2439.6.5Distributive Law . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2449.6.6With Transverse Parts . . . . . . . . . . . . . . . . . . . . . . . . . 2459.6.7Basis Vectors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2459.6.8Levi-Civita Symbol . . . . . . . . . . . . . . . . . . . . . . . . . . . 2469.6.9Component Representation . . . . . . . . . . . . . . . . . . . . . . 2489.6.10 No Inverse . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2509.6.11 No Associative Law . . . . . . . . . . . . . . . . . . . . . . . . . . . 2519.7Multiple Products . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2519.7.1Triple Product . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2529.7.2Nested Vector Product . . . . . . . . . . . . . . . . . . . . . . . . . 2579.7.3Scalar Product of Two Vector Products . . . . . . . . . . . . . . . . 258vi

9.7.49.8Vector Product of Two Vector Products . . . . . . . . . . . . . . . 259Transformation Properties of the Products . . . . . . . . . . . . . . . . . . 2629.8.1Orthonormal Right-handed Bases . . . . . . . . . . . . . . . . . . . 2629.8.2Group of the Orthogonal Matrices . . . . . . . . . . . . . . . . . . . 2639.8.3Subgroup of Rotations . . . . . . . . . . . . . . . . . . . . . . . . . 2649.8.4Transformation of the Products . . . . . . . . . . . . . . . . . . . . 265vii

viii

PREFACEJohann Wolfgang von Goethe: FAUST, Part I(transl. by Bayard Taylor)WAGNER in Faust’s study to Faust:How hard it is to compass the assistanceWhereby one rises to the source!FAUST on his Easter walk to Wagner:That which one does not know, one needs to use;And what one knows, one uses never.O happy he, who still renewsThe hope, from Error’s deeps to rise forever!From Knowledge to SkillThis course is intended to ease the transition from school studies to universitystudies. It is intended to diminish or compensate for the sometimes pronounced differences in mathematical preparation among incoming students, resulting from the differingstandards of schools, courses and teachers. Forgotten and submerged material shall berecalled and repeated, scattered knowledge collected and organized, known material reformulated, with the goal of developing common mathematical foundations. No newmathematics is offered here, at any rate nothing that is not presented elsewhere, perhapseven in a more detailed, more exact or more beautiful form.The main features of this course to emphasize are its selection of material, its compactpresentation and modern format. Most of the material of an advanced mathematicsschool course is selected less for the development of practical math skills, and more forthe purpose of intellectual training in logic and axiomatic theory. Here we shall organizemuch of the same material in a way appropriate for university studies, in some placessupplementing and extending it a little.It is well-known, that in the natural sciences you need to know mathematical terms andoperations. You must also be able to work effectively with them. For this reason themany exercises are particularly important, because they allow you to determine yourown location in the crucial transition region “from knowledge to technique” We shallespecially stress practical aspects, even if thereby sometimes the mathematical sharpness(and possibly also the elegance) is diminished. This online course is not a replacement formathematical lectures. It can, however, be a good preparation for these as well.1

Repeating and training basic knowledge must start as early as possible, before gaps inthis knowledge begin to impede the understanding of the basic lectures, and psychologicalbarriers can develop. Therefore in Heidelberg the physics faculty has offered to physicsbeginners, since many years during the two weeks prior to the start of the first lectures,a crash course in form of an all-day block course. I have given this course several timessince 84/85, with listeners also from other natural sciences and mathematics. We canwell imagine that this course can make the beginning considerably easier for engineeringstudents as well. In Heidelberg the online version shall by no means replace the provencrash courses for the beginners prior to their first semester. But it will usefully supportand augment these courses. And perhaps it will help incoming students with their preparation, and later with solidifying their understanding of the material. This need mightbe especially acute for students beginning in summer semester, in particular when Easterholiday is unusually late. Over years this course may also help serve to standardize thematerial.This electronic form of the course, free of charge available on the net, seems ideally suitedfor use during the relaxation time between school graduation and the beginning of lecturesat university. A thoughtful student will have time to prepare, to cushion the unfortunatelystill frequent small shock of the first lectures, if not to avoid it altogether. It seems tous appropriate and meaningful to present this electronic form of the course (which isaccessible to you always, and not only two weeks before the semester), to augment anddeepen the treatment beyond what is normally possible in our block courses in intensivecontact with the Heidelberg beginner students. Furthermore we have often noticed inpractice that small excursions in “higher mathematics”, historical reviews and physicalapplications beyond school knowledge energize and awaken a desire to learn more aboutwhat is coming. I shall therefore also address here some “higher things”, especially towardthe ends of the chapters. I will put these topics however in small or larger inserts orspecial exercises, so that they can be passed over without hesitation.As you have seen from the quotation at the beginning from Goethe’s (1749-1832) Faustwe have to deal with an old problem. But you are now in the fortunate situation of havingfound this course, and you can hope. Don’t hesitate! Begin! And have a little fun, too!AcknowledgementsFirst of all I want to thank Prof. Dr. Jörg Hüfner for the suggestion and invitation to revise my old, proven “Vorkurs”manuscript. The idea was to redesign and reformat it attractively, making it accessible online, or in the form of the newmedium of CD-ROM, to a larger number of interested people (before, during and after the actual preparation course).Thank you for many discussions including detailed questions, tips or formulations, and last not least for the continuousencouragement during the long labor on a project full of vicissitudes.Then my special thanks go to Prof. Dr. Hans-Joachim Nastold who helped and encouraged me by answering a couple ofmathematical questions nearly 50 years ago when I - coming from a law oriented home and a grammar school concentratingon classical languages, without knowing any scientist and lacking any access to mathematical textbooks or to a library, and2

confronted with two young brilliant mathematics lecturers - was in a similar, but even more hopeless situation than youcould possibly be in now. At that time I decided to someday do something really effective to reduce the math shock, if notto overcome it, if I survived this shock myself.Prof. Dr. Dieter Heermann deserves my thanks for his competent advice, his influential support and active aid in an earlystage of the project. I thank Dr. Thomas Fuhrmann cordially for his enthusiasm for the multimedia ideas, the first workon the electronic conversion of the manuscript, for the programming of the three Java applets, and in particular for thefunction plotter. To his wife Dr. Andrea Schafferhans-Fuhrmann I owe the correction of a detail important for the users ofthe plotter.I also have to thank the following members of the Institute for numerous discussions, suggestions and help, especially Prof.F. Wegner for the attentive correction of the last chapters of the Word script in an early stage, Dr. E. Thommes forexceptionally careful aid during the error location in the HTML text, Prof. W. Wetzel for tireless advice and inestimablehelp in all sorts of computer questions, Dr. Peter John for relief with some illustrations, Mr. Ting Wang for computationalassistance and many other members of the Institute for occasional support and ongoing encouragement.My main thanks go to my immediate staff: firstly to Mrs. Melanie Steiert and then particularly to Mrs. Dipl.-Math.Katharina Schmock for the excellent transcription of the text into LATEX, Mrs. Birgitta Schiedt and Mr. BernhardZielbauer for their enthusiasm and skill in transferring the TEX formulae into the HTML version and finally to OlsenTechnologies for the conception of the navigation and the fine organization of the HTML version. To the board of directorsof the Institute, in particular Prof. C. Wetterich and Prof. F. Wegner, I owe a great dept of gratitude for providing thefunds for this team in the decisive stage.Furthermore I would like to thank the large number of interested students over the years who, through their rousingcollaboration and their questions during the course, or via even later feedback, have contributed decisively to the qualityand optimization of the compact form of my lecture script “Mathematical Methods of Physicists” of which the “Vorkurs” isthe first part. As a representative of the many whose faces and voices I remember better than their names I want to nameBjörn Seidel. Many thanks also to all those users of the online course who spared no effort in reporting actual transferenceproblems, or remaining typing and other errors to me, and thus helped me to asymptotically approach the ideal of a faultlesstext. My thanks go also to Prof. Dr. rer.nat.habil. L. Paditz for critical hints and suggestions for changes of the limits forthe arguments of complex numbers.My thanks especially go to my former student tutors Peter Nalbach, Rainer Tafelmayer, Steffen Weinstock and Carola vonSaldern for their help in welcoming the beginners from near and far cheerfully, and motivating and encouraging them. Theyraised the course above the dull routine of everyday and helped to make it an experience which one may remember withpleasure even years later.Finally I am full of sincere gratitude to my three children and my son-in-law Christoph Lübbe. Without their perpetualencouragement and untiring help at all times of the day or night I never would have been been able to get so deeply intothe world of modern media. To them and to my grandchildren I want to dedicate this future-oriented project:to ANGELIKA, JOHANNES, BETTINA and CHRISTOPHas well as CAROLINE, TOBIAS, FABIAN, NIKLAS and HENRI.After the online course resulted in a doubling of the number of German speaking beginners at the physics faculty inHeidelberg within two years, an English version was suggested by Prof. Dr. Karlheinz Meier. I am deeply grateful tocand. phil. transl. Aleksandra Ewa Dastych for her very careful, patient and indispensable help in composing this Englishversion. Also I owe thanks to Prof. K. Meier, Prof. Dr. J. Kornelius and Mr. Andrew Jenkins, B.A. for managing contactto her. My thanks go also to the directors of the Institute, Prof. Dr. C. Wetterich and Prof. Dr. O. Nachtmann, forproviding financial support for this task. Many special thanks go to my friend Prof. Dr. Alfred Actor (from PennsylvaniaState University) for a very careful and critical expert reading of the English translation.For the rapid and competent transfer of the English text to the LaTeX format in oder to allow easy printing my wholehearted thanks go to cand. phys. Lisa Speyer. The support for this work was kindly provided by the relevant commissionof our faculty under the chairman Prof. Dr. H.-Ch. Schultz-Coulon.3

4

Chapter 1MEASURING:Measured Value and Measuring Unit1.1The Empirical MethodAll scientific insight begins when a curious and attentive person wonders about somephenomenon, and begins a detailed qualitative observation of this aspect of nature. Thisobserving process then can become more and more quantitative, the object of interestincreasingly idealized, until it becomes an experiment asking a well-defined question.The answers to this experiment, the measured data, are organized into tables, and canbe graphically visualized in diagram form to facilitate the search for correlations anddependencies. After calculating or estimating the precision of the measurement, the socalled experimental error, one can interpolate and search for a description or at leastan approximation in terms of known mathematical curves or formulae Fromsuch empirical connections, conformities to known laws may be discovered. These aremostly formulated in mathematical language (e.g. as differential equations). Once onehas found such a connection, one wants to “understand” it. This means either one findsa theory (e.g. some known physical laws) from which one can derive the experimentallyobtained data, or one tries using a “hypothesis” to guess the equation which underlies thephenomenon. Obviously also for doing this task a lot of mathematics is necessary. Finallymathematics is needed once again to make predictions which are intended to be checkedagainst experiments, and so on. In such an upward spiral science is progressing.5

1.2Physical QuantitiesIn the development of physics it turned out again and again how difficult, but also important it was to develop the most suitable concepts and find the relevant quantities (e.g.force or energy) in terms of which nature can be described both simply and comprehensively.Insert: History: It took more than 100 years for the discussion among the “natural philosophers” (especially D Alembert, Bruno, Newton, Leibniz, Boskovic andKant) to create our modern concepts of force and action from the old terms principium, substantia, materia, causa efficiente, causa formale, causa finale, effectum,actio, vis viva and vis insita.Every physical quantity consists of a a measured value and a measuring unit, i.e.a pure number and a dimension. All difficulties in conversations are avoided, if we treatboth parts like a product “value times dimension”.is imposed, whichExample: Velocity: In residential districts often a speed limit v 30 kmhmeans 30 kilometers per hour. How many meters is that per second?.One kilometer contains 1000 meters: 1km 1000m, thus v 30 · 1000 mhmEvery hour consists of 60 minutes: 1h 60min, consequently v 30 · 1000 60min.mOne minute has 60 seconds: 1 min 60 s , therefore v 30 · 1000 60·60s 8.33 ms .Even that may be too fast for a ball playing child.Insert: Denotations:It is an accepted thing in international physics for longtime past to abbreviate as many of the physical quantities as possible by the firstletter of the corresponding English word, e.g. s(pace), t(ime), m(ass), v(elocity),a(cceleration), F(orce), E(nergy), p(ressure), R(esistance), C(apacity), V(oltage),T(emperature), etc.Of course there are some exceptions from this rule: e.g. momentum p, angularmomentum l, electric current I or potential VWhenever the Latin alphabet is not sufficient, we use the Greek one:alphaαbetaβgamma γdeltaδepsilon zetaζetaηthetaθABΓ EZHΘiotaιkappaκlambda λmyµnyνxiξomikron opiπIKΛMNΞOΠIn addition the Gothic alphabet is at our disposal.6rhoρsigmaσtauτypsilon υphiφchiχpsiψomega ωPΣTYΦXΨΩ

1.3UnitsThe units are defined in terms of yardsticks. The search for suitable yardsticks and theirdefinition, by as international a convention as possible, is an important part of science.Insert: Standard units: What can be used as a standard unit? - The answers to this question have changed greatly through the centuries. Originally peopleeverywhere used easily available comparative quantities like cubit or foot as units oflength, and the human pulse beat as unit of time. (The Latin word tempora initiallymeant temple!) But not every foot has equal length, and the pulse can beat morequickly or slowly. Alone in Germany there have been more than 100 different cubitand foot units in use.Therefore, since 1795 people referred to the ten millionth part of the earth meridianquadrant as the “meter” and represented this length by the well-known rod made outof an alloy of platinum and iridium. The measurement of time was referred to theearth’s rotation: for a long time the second was defined as the 86400th part of anaverage solar day.In the meantime more exact atomic standards have been introduced: One meter isnow the distance light travels within the 1/299 792 485 part of a second. One secondis now defined in terms of the period of a certain oscillation of cesium 133 atoms in“atomic clocks”. Perhaps some day these standards will also be improved.Today, these questions are solved after many error ways by the conventions of the SI-units(Système International d’Unités) The following fundamental quantities are specified:length measured in meters:time in seconds:mass in kilograms:electric current in ampere:temperature in kelvin:luminous intensity in candelas:even angle in radiant:solid angle in steradiant:amount of material in mol:mskgAKcdradsrmolAll remaining physical quantities are to be regarded as derived, thus by laws, definitionsor measuring regulations traced back to the fundamental quantities: e.g.7

frequency measured in hertz:force in newton:energy in joule:power in watt:pressure in pascal:electric charge in coulomb:electric potential in volt:electric resistance in ohm:capacitance in farad:magnetic flux in weber:Hz : 1/sN : kg m/s2J : NmW : J/sPa : N/m2C : AsV : J/CΩ : V/AF : C/VWb : VsExercise 1.1 SI-unitsa) What is the SI-unit of momentum?b) From which law can we deduce the unit of force?c) Who formulated this law first?d) What is the dimension of work?e) What is the unit of the electric field strength?Insert: Old units: Some examples of units which are still widely in use in spiteof the SI-convention:grad:kilometer per hour:horse-power:calorie:kilowatt-hour:elektron volt: (π/180)rad 0.01745 radkm/h 0.277 m/sPS 735.499 Wcal ' 4.185 JkW h 3.6 · 106 JeV ' 1.6 · 10 19 JMany non-metric units are still used especially in England and the USA:inch Zoll:foot:yard:(amer.) mile:ounce:(engl.) pound:(amer.) gallon:(

barriers can develop. Therefore in Heidelberg the physics faculty has o ered to physics beginners, since many years during the two weeks prior to the start of the rst lectures, a crash course in form of an all-day block course. I have given this course several times since 84/85, with liste

Related Documents:

mathematical metaphysics for a human individual or society. 1 What Mathematical Metaphysics Is Quite simply, the position of mathematical metaphysics is that an object exists if and only if it is an element of some mathematical structure. To be is to be a mathematical o

So, I say mathematical modeling is a way of life. Keyword: Mathematical modelling, Mathematical thinking style, Applied 1. Introduction: Applied Mathematical modeling welcomes contributions on research related to the mathematical modeling of e

The need to develop a mathematical model begins with specific questions in a particular application area that the solution of the mathematical model will answer. Often the mathematical model developed is a mathematical “find” problem such as a scalar equation, a system o

2.1 Mathematical modeling In mathematical modeling, students elicit a mathematical solution for a problem that is formulated in mathematical terms but is embedded within meaningful, real-world context (Damlamian et al., 2013). Mathematical model

Handbook of Mathematical Functions The Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables [1] was the culmination of a quarter century of NBS work on core mathematical tools. Evaluating commonly occurring mathematical functions has been a fundamental need as long as mathematics has been applied to the solution of

Studying 101: Study Smarter Not Harder This handout offers several tips on effective studying. Implementing these tips into your regular study routine will help you to efficiently and effectively learn course material. Effective studying r

7 Tips for Successful Studying Although, bio and lit exams cover entirely different material, how you begin studying from day one is identical in both classes. And generally, practice questions are a great go-to for ongoing or night-before studying. A quick Google search will bring up a quiz or practice test on a chapter or concept.

2 Page . Preface . The Academic Phrasebank is a general resource for academic writers. It aims to provide the phraseological ‘nuts and bolts’ of academic writing organised a