Mathematical Physics

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Mathematical PhysicsLecture Note for phys301: Fall 2021by Indu Satija(Last revised Nov 18 , 2021)Books and other Resources used in preparing these Lecture Notes: What I learned from my Ph.d mentor Richard Friedberg, Columbia University ” Advanced Mathematics for Engineers and Scientists” by Murray R. Spiegel ( McGraw-HillBook Company ) ( I strongly recommend that you buy this book) ” Atlas of Functions” by Jerome Spanier and Keith B. Oldham, Hemisphere publishingCorporation. ”Mathematical Methods in Physical Sciences” by Mary Boas ( Third Edition) “Mathematical Physics: Applications and Problems” by V. Balakrishnan ( Springer ) Various Wiki pages and other Google search resources David Griffith’s books on Electro-Magnetic Theory and Quantum Mechanics and alsoClassical Dynamics by Marion.1

Table of ContentIntroductionWhat is Mathematical Physics4Chapter Zero: Laws of Nature & Mathematical BeautyChapter I: Warming up- I513Binomial ExpansionTaylor SeriesChapter II : Warming up-II:20Gaussian Integrals and Related FunctionsBasic Gaussian IntegralsStirling FormulaError FunctionsΓ FunctionsChapter III : Real Numbers25Integers: Diophantine EquationsRational Numbers: How to generate all Rational Numbers: Farey TreeIrrational Numbers & Rational Approximants of Irrationals using Continued FractionFord Circles: Pictorial Representation of Rational NumbersChapter IV : Complex Numbers32Basic Properties: Polar Representation & Euler FormulaRepresenting Vectors and 2D rotations by Complex NumbersSolving Some differential Equations using Complex numbersSimple harmonic and damped oscillationsCyclotron MotionChapter V : Scalars, Vectors, Tensors and Spinors41Defining scalars, vectors and Tensors using transformation Under RotationProper and Improper Rotations & Pseudo scalars & vectorsScalars & Vector ProductsMoment of Inertial and other tensorsSpinorsChapter VI : Fourier Transformation552

Fourier Series for Periodic FunctionsFourier Integrals: Fourier Series for Non-Periodic FunctionsGaussian FunctionsDirac Delta FunctionsApplications in MusicApplications in Crystallography: Reciprocal LatticeQuasicrystals & Redefining CrystalsChapter VII : Curvilinear Coordinates71Spherical and Cylindrical CoordinatesVector Calculus: Gradient, Divergence and CurlChapter VIII: Partial Differential Equations79Wave EquationMaxwell EquationSchrödinger EquationChapter IX : Solving Partial Differential Equation by Separation of VariablesOne-Dimensional Wave EquationTwo and Three dimensional Laplace equation in rectangular coordinatesChapter X : Solving Laplace Equation in spherical polar coordinatesChapter XI : Spherical Harmonics and Legendre FunctionsChapter XII : Bessel Function101Chapter XIII : Spherical Bessel Function107Common characteristics of special functionsChapter XIV : MatricesOrthogonal, Unitary and Hermitian MatricesEigenvalues and EigenfunctionApplication: Normal Modes3938981

Mathematical PhysicsWhat is Mathematical Physics ? What this course is about ?The fact that physics requires mathematics at all levels makes the very definition ofmathematical physics as a subject in the university physics curriculum rather fuzzy. Over theyears, however, there has emerged a set of mathematical topics and techniques that are the mostuseful and widely applicable ones in various parts of physics. It is this repertoire or collection thatconstitutes “mathematical physics’”as the term is generally understood in its pedagogical sense.This course devoted to some of the topics of this core set.Taking the phrase “mathematical physics” literally, this course is not an applied mathematicstext in the conventional sense. It digresses into physics whenever the opportunity presentsitself.Although numerous mathematical results are introduced and discussed, hardly anyformal, rigorous proofs of theorems are presented. Instead, I have used specific examples andphysical applications to illustrate and elaborate upon these results. The aim is to demonstratehow mathematics intertwines with physics in numerous instances. In my opinion, this is thefundamental justification for the very inclusion of mathematical physics as a subject .4

Chapter 0Laws of Nature & Mathematical BeautySome quotations “The so-called Pythagorean, who were the first to take up mathematics, not only advancedthis subject, but saturated with it, they fancied that the principles of mathematics were theprinciples of all things. ”—Aristotle, Metaphysics 1–5, c. 350 BC “Philosophy is written in this grand book (the Universe) which stands continuously open toour gaze, but it cannot be read unless one first learns to understand the language in which itis written. It is written in the language of mathematics.” —Galileo Galilei, 1623 “The miracle of the appropriateness of the language of mathematics for the formulation ofthe laws of physics is a wonderful gift which we neither understand nor deserve” It is atestimony to the inherent simplicity and orderliness that pervades the fundamental science.” – Eugene Wigner “Physical laws should have mathematical beauty. We must insist on it ”. P.A.M. Dirac “I wish you ladies and gentleman out there knew some of this mathematics. It is not just thelogic and accuracy of it all you’re missing—it’s the poetry too.” —Richard Feynman (BBCinterview, “A Novel Force in Nature”) “Mathematician’s patterns, like the painter’s or the poet’s must be beautiful; the ideas, likethe colors or the words must fit together in a harmonious way. Beauty is the first test: thereis no permanent place in this world for ugly mathematics.” H.G. Hardy5

What is Mathematical Beauty ?The Euler equation: eiπ 1 0Two irrational numbers e and π are related when you bring in complex numberpi ( 1).6

Some Equations of Physics and Mathematical BeautyF maE mc2m1 m2F G 2rq1 q 2F k 2rWhy F 1/r2Why not F 1/rα where α can be any thing, integer, rational or irrational?Why not some complicated function of r.Do you know any equation that is “ugly”Some Notations: Elegance & SimplicitySome Examples: Coordinates: (x, y, z) (x1 , x2 , x3 ) (xi , i 1, 2, 3) Unit Vectors: (x̂, ŷ, ẑ) (x̂1 , x̂2 , x̂3 ) (x̂i , i 1, 2, 3) ·B Ax Bx Ay By Az Bz A1 B1 A2 B2 A3 B3 Ai Bi A( That is, repeated index represents a sum ) Kronecker Delta function δi,jδi,j 0 if i 6 j, δij 1 if i j. B Ai Bj δij .A. Levi-Civita Symbol : ijkSee Wiki page ol ijk 1, i 6 j 6 k and are in cyclic order: ( 123 231 312 1 ) ijk 1, i 6 j 6 k and are not in cyclic order: ( 132 213 312 1 )7

ijk 0, if two of the indices are same: ( 122 111 133 . 0 ) B) k ijk Ai Bj : This is the k th component of (A B) (AExamples: r p (1) Angular Momentum Lits ith component Li rj pk ijk . F e v B (2) Lorentz Force on an Electron: charge e, velocity v , in a magnetic field B:its ith component Fi evj Bk ijk .HHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHome Work Problem B) k Ai Bj ijk to determine(1) Use the formula (A on an electron of charge e, given(a) the three components of the Lorentz force F e v B (2, 1, 2) v (1, 1, 1) and B r p where r (1, 2, 3) and(b) the three components of angular moment Lp (1, 1, 1).HHHHHHHHHHHHHHHHHHHHHHHHHHHHHHH If a2 b2 1, set a cos θ and b sin θ. If a2 b2 1, a cosh x, b sinh x.Example:f a cos θ b sin θ abcos θ sin θ a2 b 2 a2 b2a2 b 2 ba a2 b2 (sin α cos θ cos α sin θ), sin α , cos α a2 b 2a2 b 2 a2 b2 sin(θ α)HHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHome Work Problem8

(2) Given: 2 sin θ 5 cos θ A sin(θ φ), calculate A and φ. .HHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHAn example of hidden Mathematical Beauty:Lorentz TransformationIn physics, the Lorentz transformations are transformations from a coordinate frame inspace-time to another frame that moves at a constant velocity v relative to the former. Thetransformations are named after the Dutch physicist Hendrik Lorentz.The most common form of the transformation, parametrized by the real constant vrepresenting a velocity confined to the x-direction, is expressed as:vx t γ t 2c0 x0 γ (x vt)y0 yz0 zwhere (t, x, y, z) and (t0 , x0 , y 0 , z 0 ) are the coordinates of an event in two frames, where theprimed frame is seen from the unprimed frame as moving with speed v along the x-axis, c is thespeed of light, and γ q 121 v2is called Lorentz factor.cWhen speed v c, the Lorentz factor is negligibly different from 1, but as v c, γgrows without bound. The maximum value of v is equal to c, for the transformation to makesense.Alternative way to write Lorentz Transformation (1)vExpressing the speed as β , an equivalent form of the transformation is:c9

ct0 γ (ct βx)x0 γ (x βct)y0 yz 0 z. (2)Let us write ct x0 , x x1 , y x2 , z x3 . Equations make a more symmetric form:x00 γ (x0 βx)x01 γ (x1 βx0 )x02 x2x03 x3 . (3)We note: γ 2 (βγ)2 1This reminds us an identity in mathematics: cosh2 α sinh2 α 1,Therefore, let us make a following association and define an we angle α as,cosh α γ, sinh α βγ(1)Lorentz boost in the x-direction. It is given by,x00 x0 cosh α x1 sinh αx01 x0 sinh α x1 cosh αx02(2) x2x03 x3And the corresponding matrix is, x0 0cosh α sinh α x0 sinh α cosh α 1 x0 2 00 x0 30010 0 0 x0 0 0 x1 1 0 x2 0 1 x3(3)

(4) Lorentz transformation or the Lorentz “boosts” can be viewed as a rotation with angleof rotation α complex as shown below.tanh α β eα e αeα e αLet us write α iδ, where δ is a real number. Then we have,tanh α eiδ e iδ tan δ βeiδ e iδ(4)δ tan 1 (β)(5)This gives,Therefore. δ is a real number and α iδ is pure ��———Recall:Rotations in 3-dimensionsConsider simple rotations in three dimensions. Denoted by R, a rotation about z-axis by anangle θ of coordinates (x, y, x) (x0 , y 0 , z 0 ) R(θ)(x, y, z) is the equation,x0 x cos θ y sin θy 0 x sin θ y cos θ(6)z0 zWritten in the matrix form, the equation is, 0xcos θ sin θ 0 x 0 y sin θ cos θ 0 y z0001 z11(7)

�———-Above equations show that Lorentz boost is “mathematically” equivalent to a rotation by anangle α which is pure imaginary number.Lorentz boost as a form of “Rotation” in space-time.This is beautiful!!!HHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHome Work Problem(3) An event in a laboratory frame occurs at xµ (x0 , x1 , x2 , x3 ) (0, 0, 0, 0). In a framemoving with velocity1100the speed of light along z-axis, calculate the space-time coordinates ofevent. Write the transformation matrix in terms of angle of rotation.HHHHHHHHHHHHHHHHHHHHHHHHHHHHHHH12

I.CHAPTER IWarming Up: Binomial & Taylor ExpansionWe will review some fundamental concepts of mathematics that form the backbone ofmathematical physics.A.Binomial ExpansionHistorySpecial cases of the binomial theorem were known since at least the 4th century BC whenGreek mathematician Euclid mentioned the special case of the binomial theorem for exponent2.There is evidence that the binomial theorem for cubes was known by the 6th century AD in India.(x y)n Pnk 0 n k k Pnx y k 0nknk k n kx y ., where nn! (n k)!k!kExamples(x y)0 1,(x y)1 x y,(x y)2 x2 2xy y 2 ,(x y)3 x3 3x2 y 3xy 2 y 3 ,(x y)4 x4 4x3 y 6x2 y 2 4xy 3 y 4 ,Note: (x y)n xn (1 ( xy ))n . Therefore, Let us focus on (1 x)n(1 x)n 1 nx n(n 1) 2 n(n 1)(n 2) 3x x ··· .2!3!13(8)

(1 x)0 1,(1 x)1 1 x,(1 x)2 1 2x x2 , Eq. (8) is a pretty formula. Note that when we put n 1, all higher powers of x2 , x3 , . etchave their coefficients go to zero. It also works when n is not an integer .Around 1665, Isaac Newton generalized the binomial theorem to allow real exponents otherthan nonnegative integers. Also, when n is negative. For example:(1 x) 1 1 x x2 x3 · · · . Note, that when n is not a positive integer, we do not get a Polynomial, but an infinite series. It is useful when x is small: x 1,Examples:(1)(2)11 x 1 x ,( n 1) .1 x 1 12 x, ( n 12 )(3) If x a,1(a x)3 a 3 (1 1x )3 a 3 (1 3 xa ).aNOTE: Truncations of binomial expansion are examples of Taylor series as we will be later.B.Applications to RelativityBelow I list some important formulas for relativistic theory, that is, when particles move withspeed comparable to speed of light.14

Let m0 be the mass of a particle in the frame in which it is at rest and m is its mass in theframe in which it moves with velocity v. Let E is the energy of the particle. E mc2 where m q m021 v2 γm0 . Note E m0 c2 when particle is at rest.c Therefore, kinetic energy is K E m0 c2 . E 2 p2 c2 m20 c4Problem (1): For a particle, moving with1100th speed of light, calculate the fractionalchange in the mass of the particle, compared to its rest mass:Solution: Since the speed v γ pc,100we can use the following approximation to calculate γ1 1 12 ( vc )2 , (n 21 , x ( vc )2 ) using Eq. (8).v 21 (c)1 vm γm0 m0 [1 ( )2 ]2 cm m01 v 2 ( ) .5.(.01)2 .5.10 4m02 cProblem (2): The relativistic expression for energy of a particle of rest mass m0 given byE 2 p2 c2 m20 c4 . Show that for v c, it reduces to E SolutionE qp2 c2 m20 c4p2 1)2m20 c21 p2 m0 c2 (1 )2 m20 c2p2 m 0 c2 2m0 m0 c2 (1 Note the following:15p22m m0 c2 12 m0 v 2 m0 c2 .

Note, we have assumed that x p2m20 c2 1: check, if we put p m0 v, x ( vc )2 , whichis the non-relativistic limit. Checking relativistic limit when energy is given. Suppose we say that an electron has kineticenergy of 10 Mev. Is it relativistic ? How do you check this quickly ? Note, you are givenkinetic energy and not the velocity.Simply calculate the ratio of Kinetic energy and Rest mass energy.For example, rest mass energy of electron is .5 Mev. If Kinetic energy is much bigger than .5Mev, electron is relativistic. This provides a very useful criterion for when to use relativisticexpression for energy.HHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHome Work Problem 1.1(1 ) State which of the following particles have to be treated relativistically.(a) An electron of kinetic energy 1 Mev, (b) Proton of Kinetic energy 1 Mev. (3) A neutron ofkinetic energy 20 Mev.(2) Given f (x) a(b x)1.5 A Bx. Calculate A and B if x b.HHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHC.Taylor ExpansionRefs: (1) Chapter I, page 8 of Murray and Spiegel;(2) Wiki Link: https://en.wikipedia.org/wiki/Taylor seriesIn 1715, Brook Taylor, a English mathematician provided a general method for constructing theseseries for all functions for which they exist. When a 0, the series is also called a Maclaurinseries - after Colin Maclaurin ( Scottish mathematician ) , who made extensive use of this specialcase of Taylor series in the 18th century.Taylor series for a function f (x) about x a is in general an infinite series:16

f 0 (a)f 00 (a)f 000 (a)(x a) (x a)2 (x a)3 · · ·1!2!3! (n)Xf (a)(x a)n n!n 0f (x) f (a) where f (n) (a) denotes the nth derivative of f evaluated at the point a.EXAMPLES: 11 x 1 x x2 x3 · · · , By integrating the above Maclaurin series, we find the Maclaurin series for ln(1 x), whereln denotes the natural logarithm:ln(1 x) x 12 x2 31 x3 14 x4 · · · ., 1 x 1 Exponential function:xe Xxnn 00n!xx1 x2 x3 x4 x5 ···0!1!2!3!4!5!x2 x3 x4x5 1 x ···2624 120 Trigonometric Functionsx3 x5 x7 3!5!7!x 2 x4 x6cos (x) 1 2!4!6!35xxx7tan 1 x x , 1 x 1357x2 x4 x 6cosh x 1 ···2!4!6!sin (x) x Note: sin x, sinh x, tan 1 x are odd functions and cos x, cosh x are even functions. Graphthem.17

EXAMPLES:(1) The first few Spherical Bessel functions are:sin xxsin x cos xj1 (x) x2x331j2 (x) ( 3 ) sin x 2 cos x,xxxj0 (x) Are they ill-defined at the origin ?Check how these functions behave as x 0.Using Taylor expansion of sin and cos x, you can show that these functions do not diverge asx . Let us work this for j1 (x):sin x cos x x2x3 (x x /3! .)/x2 (1 x2 /2 .)/x1 x2 1 x2 .O(xn ), n 0x3!x2 0 as x 0j1 (x) NOTE: It is almost magical that although the various term in the these functions diverge, thedivergences among various terms precisely cancel out and the functions are well behaved at x 0.We will be discussing these functions jn (x) later in the semester. For all n, these functionsalthough appear singular at the origin are in fact well behaved at the origin.HHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHome Work PROBLEMS (1.2)(1) Sketch the following functions f (x) for both positive and negative values of x, statingexplicitly the behavior near x 0 and at other special points such as near minima or maxima orpoints of discontinuities of the functions and x for non-periodic functions.18

(1.1) sin x, cos x, tan x2(1.2) ln x, ex , e x , cosh x, sinh x, tanh x, e x , x1 , x12 .(1.3)sin x,xx2 x4 .(1.4) f (x) 1x [ x1 ], where [x] means integer part of x.(2) Show that f (x) ( x33 x1 ) sin x 3x2cos x is well defined at the origin.(3) Use Taylor series method to obtain approximate value of the integralsR1R1 x2(3.1) 0 1 ex dx, (3.1) 0 e x dxHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHH19

II.CHAPTER IIGaussian and Related Integrals and FunctionsA.Basic Gaussian Integrals2The function e x , called a Gaussian, appears everywhere in mathematical sciences. Inaddition to playing a fundamental role in probability and statistics, it also appears very often inquantum mechanics. The fundamental Gaussian integral in its simplest form isZ x2I e01dx 2 Z x2edx π2(9)The integral cannot be evaluated by the usual method of integration by parts. Its value isdetermined as follows.Consider the square of the integral and change to plane polar coordinates (ρ, φ) , wherepρ x2 y 2 and tan φ xy . (This trick is attributed to Poisson.) The region of integration is thefirst quadrant in the xy-plane. The area element dxdy in plane polar coordinates is dxdy ρdρdφ.ThusZ2I Z dy0 (x2 y 2 )eZdx 0 ρ dρ e0 ρ2Z0π21dφ π4(10) Therefore, I π.2The simple result above has many interesting extensions that are useful in a remarkably largenumber of physical problems. Some are discussed below and also see home work problems.B.Stirling Formula or Approximation: Application of Gaussian Integralsln n! n ln n n O(ln n)Stirling’s approximation is vital to a manageable formulation of statistical physics andthermodynamics. It vastly simplifies calculations involving logarithms of factorials where thefactorial is huge. In statistical physics, we are typically discussing systems of 1022 particles.20

With numbers of such orders of magnitude, this approximation is certainly valid, and also provesincredibly useful.PROOF:Let us start with the formula: Zxn e x dx.n! 0You can check this for n 0, 1, 2, 3. by integrating by parts.Using the identity x eln x , we haven! R 0en ln x xChange variables : x ny, one obtainsZ en ln x x dx0Z Zn ln nn(ln y y)n ln n needy nen! 0 enf (y) dy, f (y) ln y y0Let us study the function f (y) ln y yf (y) has a maxima at y y0 as,00f 0 (y) 1/y 1 0. That is y0 1. f (y0 ) y12 1 00Let us Taylor expand f (y) about y y0 11 00f (y) f (y0 ) f 0 (y0 )(y y0 ) f (y0 )(y y0 )2 .21 ln y0 y0 2 (y y0 )2 .2y01 1 (y 1)2 .221

We can replace f (y) by its Taylor expansion where we retain only quadratic terms. Theresulting integral is a Gaussian integral.This is also known as Laplace’s ��—————————-What is Laplace Method ?Expand a function f (y) about its maximum value, say y0 ( assuming such a maxima exists )1f (y) f (y0 ) f 0 (y0 )(y y0 ) f 00 (y0 )(y y0 )2 .2If f has a global maximum at y0 , and so the derivative of f vanishes at y0 . Therefore, thefunction f (y) may be approximated to quadratic order1 00 f (y0 ) (y y0 )22Z bZ b1002M f (y)M f (y0 )edx ee 2 M f (y0 ) (y y0 ) dyf (y) f (y0 ) aaThis latter integral is a Gaussian integral if the limits of integration go from to (which can be assumed because the exponential decays very fast away from y0 ), and thus it can becalculated. We findZsbeM f (y) dy a2πeM f (y0 ) as M .00M f (y0 ) We have used the formula,R 02e ax dx pπ/a, a 0,NOTE: Laplace’s method is itself a reduced form of a more general technique called themethod of steepest descent or the saddle-point method, involving integration in the complex �————————————Applying Laplace method to Eq. (11 ) with f (y) ln y y and use the formula,pR ax2edx π/a, a 0,0Therefore,22

n ln nZ dx en ln x x n! ne 2πnen ln n n(11)0Taking log of this,ln n! n ln n n O(ln n)NOTE: The formula (11) is quite remarkable, because it is valid to an astonishing degreeof accuracy even for relatively small values of n, including n 1.When n is 10, the accuracy isalready about 99.2%, and for n 100, this becomes 99.92%., and so on.The Stirling series for n! is,1n! en ln n n (2πn) 2 [1 C.11 O(n 3 ).]12n 288n2(12)Error FunctionIn mathematics, the error function (also called the Gauss error function), often denoted by“erf”, is a functionZ x of x variable defined as:22erf x e t dt.π 0In statistics, for non-negative values of x, the error function has the following interpretation: for arandom variable Y that is normally distributed with mean 0 and standard deviation 1 ,2erf x is theprobability that Y falls in the range [ x, x].D.Γ functionsIn mathematics, the Gamma function –represented by Γ, the capital letter gamma from theGreek alphabet) is one commonly used extension of the factorial function to complex numbers.23

The gamma function is defined for all complex numbers except the non-positive integers. For anypositive integer n,Γ(n) (n 1)! .For a complex number z,Z xz 1 e x dx,Γ(z) (z) 0 .0Note that by setting x2 u in Gaussian integral, Eq. (9),Z 1 2Γe x dx 2 0 πHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHome Work (2.1)(1)R 2 bxe axdx pπb2e 4a , a 0, where b is any complex number.aIf a 0 and k is a real constant, show thatR p k22dxe ax cos kx πa e 4a0R 2Show that 0 dxe ax sin kx cannot be evaluated by this procedure.(2) Show that Γ(1/2) R 2e x dxHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHH24(13)(14)

III.CHAPTER IIIREAL NUMBERS Natural Numbers: Positive integers Integers: 0, 1, 2. Rational Numbers Irrational Numbers & Its rational approximantFive Important Numbers: 0, 1, i, π, eA.IntegersPythagorean believed that all things were made of integers.Integers are darlings of physicists – as very often , integers appearing in physical systemsrepresent quantum numbers. Examples: quantization of angular momentum in central forceproblem, quantization of energy in bound state problems (such as Bohr model, particle in a box)and quantization of conductivity in quantum Hall effect.There are some equations in mathematics whose solutions are integers. They are calledDiophantine equation. The following Wiki link gives a good summary of such equations. Ref: https://en.wikipedia.org/wiki/Diophantine equation Example:Consider the famous equation:xn y n z n , (x, y, n) are integers.For n 2, there are infinitely many solutions (x, y, z): the Pythagorean triples as shownin Fig. (1). For further details, see https://en.wikipedia.org/wiki/Tree ofprimitive Pythagorean triples 25

For larger integer values of n, Fermat’s Last Theorem (initially claimed in 1637 by Fermatand proved by Andrew Wiles in 1995) states there are no positive integer solutions (x, y, z).FIG. 1: All Pythagorean triplets, arranged in a treeB.Rational Numbers: Farey Tree: Tree that generates all rationals. Discovered by Adolf Hurwitz in 1894, Farey tree generates all primitive rationals between 0and 1. As shown in Fig. this hierarchical tree-like structure builds the entire set of rationalsby starting with 0 and 1. Each successive row of the tree inherits all the Farey fractions from26

the level above it, and is enriched with some new fractions (all of which lie between 0 and 1)made by combining neighbors in the preceding row. To combine two fractions primitiveandpR,qRpLqLone simply adds their numerators, and also their denominators, so the the so calledFarey sumpL pRqL qRgives a new primitive fraction. The nth level of the Farey tree contains allfractions pq , where 0 p q n, arranged horizontally in an increasing order. Given any two fractionspLqLandpRqRthat satisfypL qR pR qL 1,(15)then pL and qL are coprimes and so is pR and qR . This is because any common factor of pLand qL must divide the products pL qR and pR qL and hence the difference pL qR pR qL 1.Any two fractions satisfying Eq. (15) are two neighboring fractions in the Farey tree and areknown as the friendly fractions. Farey tree is constructed by applying the “ Farey sum rule” tothat gives a new fractionpcqcpLqLandAnalogous to the friendly pairandpR,qRthe Farey parents- the Farey child:pcpL q R .qcqL qRpLqLpRqRpLqLandpR pc,qR qc(16)also forms friendly pair with each of its parentssatisfying the following two equations,pL qc pc qL 1(17)pc qR pR qc 1(18)This implies that pc and qc are also coprime. In other words, the entire Farey tree consistsof all fractionsasC.[ pqLL , pqcc , pqRR ]pqwhere p and q are coprime. These equations define a Farey triplet denotedwhich will be referred as the “friendly Farey triplet”.Irrational Numbers: Continued Fraction ExpansionEvery irrational number can be represented in precisely one way as an infinite continuedfraction.27

1x n0 1n1 1n2 1n3 n4 . [n0 ; n1 , n2 , n3 , . . .]Calculating Continued Fractions: Gauss Map: xi 1 1xi [ x1i ], where [x] represents integerpart of x.Let x be an irrational number. To find its continued fraction expansion: Subtract the integer part and let x0 x [x] x n0 n1 [ x10 ] x1 1x0 n0 n2 [ x11 ] xi 1 1xi niExamples:e [2; 1, 2, 1, 1, 4, 1, 1, 6, 1, 1, 8, .] Golden-Mean: ( 5 1)/2 [1, 1, 1, 1, 1, 1, .] [1] Silver-Mean: 2 1 [2, 2, 2, .] [2] (Diamond Mean): 2 3 [1, 2, 1, 2, 1, 2.] [1, 2]HHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHome Work: (3.1)28

(1) Show that e [2; 1, 2, 1, 1, 4, 1, 1, 6, 1, 1, 8, .](2) Show that golden, silver and diamond means are solutions of quadratic equations.(3) Show that rational approximants of golden-mean are ratios of Fibonacci numbers. Note1, 2, 3, 5, 8, 13, 21, 34.Fn . are called Fibonacci numbers where Fn 1 Fn Fn 1 .(4) Given integers p and q, let (x0 , y0 ) is a solution of the linear Diophantine equationpx qy 1. Show that there exists infinity of solutions of this linear d Fraction Expansion: Best Rational Approximant of an Irrational NumberHurwitz’s Theoremx pq - the rational approximants of an irrational obtained using continued fraction expansionis closer to x than any approximation with a smaller or equal denominator. That is, continuedfraction expansion provides best rational approximants of irrational numbers as shown below forthe most famous irrational number π.There are many proofs of Hurwitz theorem. Ford circle representation of rational numbers,as described in the next section, provides a very nice proof. We will not discuss the proof. Thoseinterested in the proof and more details, can read the Ford Circle paper on the web site ( optional).29

FIG. 2: Who was Hurwitz? Adolf Hurwitz - German mathematician and his daughter, 1912 with Einsteinplaying violin.30

E.Ford Circles : Pictorial Representation of Rational NumbersIn 1938, an American mathematician Lester Ford showed that every primitive fractionpq(where p and q are relatively prime) can be represented by a circle in the x y plane, tangent tox-axis, with center at ( pq , 2q12 ) and radius1.2q 2The key characteristic of the Ford circles is the fact that two Ford circles representing twodistinct fractions never intersect and are tangent only if the two fractions are Farey neighbors.Proof of Hurwitz’s theorem using Ford circles: See the paper by Ford, “Ford circles.pdf”.FIG. 3: Ford circle representation of fractions31

IV.CHAPTER IVCOMPLEX NUMBERSIn sixteenth century, two Italian mathematicians Rafael Bombelli and Gerolamo Cardanogave the formal and not real solution of the simple quadratic equation,z 2 1 0, z 1(19)In the eighteenth century, Leonhard Euler denoted this imaginary number by i, i.e.i 1(20)The number z x iy is called a complex number. Numbers x and y are real and are calledthe real part of z and the imaginary part of z. In honor of his accomplishments, a moon crater wasnamed Bombelli.Complex numbers were coined in the 17th century by René Descartes as a derogatory termand regarded as fictitious or useless. However, soon after Descartes, their importance began tosurface in the minds of some of the greatest mathematicians.A.Polar Representation of Complex Number : Euler FormulaWith x r cos θ and y r sin θ,z x iy r cos θ ir sin θUsing Taylor series expansion,cos θ Xθ2n( 1)n2n!n 0 Xθ2n 1sin θ ( 1)n(2n 1)!n 0eiθ n nXi θn 032n!(21)

(Note: In Taylor expansion of sin and cos, the angle θ is in radians.)We get the Euler formula,eiθ cos θ i sin θ,(22)Therefore, every complex number can be written as,a ib a2 b2 eiφ , φ tan 1baThis is often called a polar representation of complex number. From Euler formula, we geteinθ cos nθ i sin nθ (cos θ i sin θ)nNOTE: “n” in the above formula need not be an integer.The identity (cos θ i sin θ)n cos nθ i sin .nθ is known as “ De Moivre’s theorem.Polar form of complex number and the De Moivre’s theorem are extremely useful in findingroot

Nov 18, 2021 · 2 6 6 6 6 6 4 cosh sinh 0 0 sinh cosh 0 0 0 0 1 0 0 0 0 1 3 7 7 7 7 7 5 2 6 6 6 6 6 4 x 0 x 1 x 2 x 3 3 7 7 7 7 7 5 (3) 10 (4) Lorentz transformation or the Lorentz “boosts” can be viewed as a rotation with angle of rotation complex as shown below. tanh e e e e Let us writ

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