Sadri HASSANI - Mathematical Methods for Students of Physics and Related Fields, Second Edition
CONTENTS
I Coordinates and Calculus 1
1 Coordinate Systems and Vectors 3
1.1 Vectors in a Plane and in Space 3
1.1.1 Dot Product 5
1.1.2 Vector or Cross Product 7
1.2 Coordinate Systems 11
1.3 Vectors in Different Coordinate Systems 16
1.3.1 Fields and Potentials 21
1.3.2 Cross Product 28
1.4 Relations Among Unit Vectors 31
1.5 Problems 37
2 Differentiation 43
2.1 The Derivative 44
2.2 Partial Derivatives 47
2.2.1 Definition, Notation, and Basic Properties 47
2.2.2 Differentials 53
2.2.3 Chain Rule 55
2.2.4 Homogeneous Functions 57
2.3 Elements of Length, Area, and Volume 59
2.3.1 Elements in a Cartesian Coordinate System 60
2.3.2 Elements in a Spherical Coordinate System 62
2.3.3 Elements in a Cylindrical Coordinate System 65
2.4 Problems 68
3 Integration: Formalism 77
3.1 “∫” Means “∫um” 77
3.2 Properties of Integral 81
3.2.1 Change of Dummy Variable 82
3.2.2 Linearity 82
3.2.3 Interchange of Limits 82
3.2.4 Partition of Range of Integration 82
3.2.5 Transformation of Integration Variable 83
3.2.6 Small Region of Integration 83
3.2.7 Integral and Absolute Value 84
3.2.8 Symmetric Range of Integration 84
3.2.9 Differentiating an Integral 85
3.2.10 Fundamental Theorem of Calculus 87
3.3 Guidelines for Calculating Integrals 91
3.3.1 Reduction to Single Integrals 92
3.3.2 Components of Integrals of Vector Functions 95
3.4 Problems 98
4 Integration: Applications 101
4.1 Single Integrals 101
4.1.1 An Example from Mechanics 101
4.1.2 Examples from Electrostatics and Gravity 104
4.1.3 Examples from Magnetostatics 109
4.2 Applications: Double Integrals 115
4.2.1 Cartesian Coordinates 115
4.2.2 Cylindrical Coordinates 118
4.2.3 Spherical Coordinates 120
4.3 Applications: Triple Integrals 122
4.4 Problems 128
5 Dirac Delta Function 139
5.1 One-Variable Case 139
5.1.1 Linear Densities of Points 143
5.1.2 Properties of the Delta Function 145
5.1.3 The Step Function 152
5.2 Two-Variable Case 154
5.3 Three-Variable Case 159
5.4 Problems 166
II Algebra of Vectors 171
6 Planar and Spatial Vectors 173
6.1 Vectors in a Plane Revisited 174
6.1.1 Transformation of Components 176
6.1.2 Inner Product 182
6.1.3 Orthogonal Transformation 190
6.2 Vectors in Space 192
6.2.1 Transformation of Vectors 194
6.2.2 Inner Product 198
6.3 Determinant 202
6.4 The Jacobian 207
6.5 Problems 211
7 Finite-Dimensional Vector Spaces 215
7.1 Linear Transformations 216
7.2 Inner Product 218
7.3 The Determinant 222
7.4 Eigenvectors and Eigenvalues 224
7.5 Orthogonal Polynomials 227
7.6 Systems of Linear Equations 230
7.7 Problems 234
8 Vectors in Relativity 237
8.1 Proper and Coordinate Time 239
8.2 Spacetime Distance 240
8.3 Lorentz Transformation 243
8.4 Four-Velocity and Four-Momentum 247
8.4.1 Relativistic Collisions 250
8.4.2 Second Law of Motion 253
8.5 Problems 254
III Infinite Series 257
9 Infinite Series 259
9.1 Infinite Sequences 259
9.2 Summations 262
9.2.1 Mathematical Induction 265
9.3 Infinite Series 266
9.3.1 Tests for Convergence 267
9.3.2 Operations on Series 273
9.4 Sequences and Series of Functions 274
9.4.1 Properties of Uniformly Convergent Series 277
9.5 Problems 279
10 Application of Common Series 283
10.1 Power Series 283
10.1.1 Taylor Series 286
10.2 Series for Some Familiar Functions 287
10.3 Helmholtz Coil 291
10.4 Indeterminate Forms and L’Hôpital’s Rule 294
10.5 Multipole Expansion 297
10.6 Fourier Series 299
10.7 Multivariable Taylor Series 305
10.8 Application to Differential Equations 307
10.9 Problems 311
11 Integrals and Series as Functions 317
11.1 Integrals as Functions 317
11.1.1 Gamma Function 318
11.1.2 The Beta Function 320
11.1.3 The Error Function 322
11.1.4 Elliptic Functions 322
11.2 Power Series as Functions 327
11.2.1 Hypergeometric Functions 328
11.2.2 Confluent Hypergeometric Functions 332
11.2.3 Bessel Functions 333
11.3 Problems 336
IV Analysis of Vectors 341
12 Vectors and Derivatives 343
12.1 Solid Angle 344
12.1.1 Ordinary Angle Revisited 344
12.1.2 Solid Angle 347
12.2 Time Derivative of Vectors 350
12.2.1 Equations of Motion in a Central Force Field 352
12.3 The Gradient 355
12.3.1 Gradient and Extremum Problems 359
12.4 Problems 362
13 Flux and Divergence 365
13.1 Flux of a Vector Field 365
13.1.1 Flux Through an Arbitrary Surface 370
13.2 Flux Density = Divergence 371
13.2.1 Flux Density 371
13.2.2 Divergence Theorem 374
13.2.3 Continuity Equation 378
13.3 Problems 383
14 Line Integral and Curl 387
14.1 The Line Integral 387
14.2 Curl of a Vector Field and Stokes’ Theorem 391
14.3 Conservative Vector Fields 398
14.4 Problems 404
15 Applied Vector Analysis 407
15.1 Double Del Operations 407
15.2 Magnetic Multipoles 409
15.3 Laplacian 411
15.3.1 A Primer of Fluid Dynamics 413
15.4 Maxwell’s Equations 415
15.4.1 Maxwell’s Contribution 416
15.4.2 Electromagnetic Waves in Empty Space 417
15.5 Problems 420
16 Curvilinear Vector Analysis 423
16.1 Elements of Length 423
16.2 The Gradient 425
16.3 The Divergence 427
16.4 The Curl 431
16.4.1 The Laplacian 435
16.5 Problems 436
17 Tensor Analysis 439
17.1 Vectors and Indices 439
17.1.1 Transformation Properties of Vectors 441
17.1.2 Covariant and Contravariant Vectors 445
17.2 From Vectors to Tensors 447
17.2.1 Algebraic Properties of Tensors 450
17.2.2 Numerical Tensors 452
17.3 Metric Tensor 454
17.3.1 Index Raising and Lowering 457
17.3.2 Tensors and Electrodynamics 459
17.4 Differentiation of Tensors 462
17.4.1 Covariant Differential and Affine Connection 462
17.4.2 Covariant Derivative 464
17.4.3 Metric Connection 465
17.5 Riemann Curvature Tensor 468
17.6 Problems 471
V Complex Analysis 475
18 Complex Arithmetic 477
18.1 Cartesian Form of Complex Numbers 477
18.2 Polar Form of Complex Numbers 482
18.3 Fourier Series Revisited 488
18.4 A Representation of Delta Function 491
18.5 Problems 493
19 Complex Derivative and Integral 497
19.1 Complex Functions 497
19.1.1 Derivatives of Complex Functions 499
19.1.2 Integration of Complex Functions 503
19.1.3 Cauchy Integral Formula 508
19.1.4 Derivatives as Integrals 509
19.2 Problems 511
20 Complex Series 515
20.1 Power Series 516
20.2 Taylor and Laurent Series 518
20.3 Problems 522
21 Calculus of Residues 525
21.1 The Residue 525
21.2 Integrals of Rational Functions 529
21.3 Products of Rational and Trigonometric Functions 532
21.4 Functions of Trigonometric Functions 534
21.5 Problems 536
VI Differential Equations 539
22 From PDEs to ODEs 541
22.1 Separation of Variables 542
22.2 Separation in Cartesian Coordinates 544
22.3 Separation in Cylindrical Coordinates 547
22.4 Separation in Spherical Coordinates 548
22.5 Problems 550
23 First-Order Differential Equations 551
23.1 Normal Form of a FODE 551
23.2 Integrating Factors 553
23.3 First-Order Linear Differential Equations 556
23.4 Problems 561
24 Second-Order Linear Differential Equations 563
24.1 Linearity, Superposition, and Uniqueness 564
24.2 The Wronskian 566
24.3 A Second Solution to the HSOLDE 567
24.4 The General Solution to an ISOLDE 569
24.5 Sturm–Liouville Theory 570
24.5.1 Adjoint Differential Operators 571
24.5.2 Sturm–Liouville System 574
24.6 SOLDEs with Constant Coefficients 575
24.6.1 The Homogeneous Case 576
24.6.2 Central Force Problem 579
24.6.3 The Inhomogeneous Case 583
24.7 Problems 587
25 Laplace’s Equation: Cartesian Coordinates 591
25.1 Uniqueness of Solutions 592
25.2 Cartesian Coordinates 594
25.3 Problems 603
26 Laplace’s Equation: Spherical Coordinates 607
26.1 Frobenius Method 608
26.2 Legendre Polynomials 610
26.3 Second Solution of the Legendre DE 617
26.4 Complete Solution 619
26.5 Properties of Legendre Polynomials 622
26.5.1 Parity 622
26.5.2 Recurrence Relation 622
26.5.3 Orthogonality 624
26.5.4 Rodrigues Formula 626
26.6 Expansions in Legendre Polynomials 628
26.7 Physical Examples 631
26.8 Problems 635
27 Laplace’s Equation: Cylindrical Coordinates 639
27.1 The ODEs 639
27.2 Solutions of the Bessel DE 642
27.3 Second Solution of the Bessel DE 645
27.4 Properties of the Bessel Functions 646
27.4.1 Negative Integer Order 646
27.4.2 Recurrence Relations 646
27.4.3 Orthogonality 647
27.4.4 Generating Function 649
27.5 Expansions in Bessel Functions 653
27.6 Physical Examples 654
27.7 Problems 657
28 Other PDEs of Mathematical Physics 661
28.1 The Heat Equation 661
28.1.1 Heat-Conducting Rod 662
28.1.2 Heat Conduction in a Rectangular Plate 663
28.1.3 Heat Conduction in a Circular Plate 664
28.2 The Schrödinger Equation 666
28.2.1 Quantum Harmonic Oscillator 667
28.2.2 Quantum Particle in a Box 675
28.2.3 Hydrogen Atom 677
28.3 The Wave Equation 680
28.3.1 Guided Waves 682
28.3.2 Vibrating Membrane 686
28.4 Problems 687
VII Special Topics 691
29 Integral Transforms 693
29.1 The Fourier Transform 693
29.1.1 Properties of Fourier Transform 696
29.1.2 Sine and Cosine Transforms 697
29.1.3 Examples of Fourier Transform 698
29.1.4 Application to Differential Equations 702
29.2 Fourier Transform and Green’s Functions 705
29.2.1 Green’s Function for the Laplacian 708
29.2.2 Green’s Function for the Heat Equation 709
29.2.3 Green’s Function for the Wave Equation 711
29.3 The Laplace Transform 712
29.3.1 Properties of Laplace Transform 713
29.3.2 Derivative and Integral of the Laplace Transform 717
29.3.3 Laplace Transform and Differential Equations 718
29.3.4 Inverse of Laplace Transform 721
29.4 Problems 723
30 Calculus of Variations 727
30.1 Variational Problem 728
30.1.1 Euler-Lagrange Equation 729
30.1.2 Beltrami identity 731
30.1.3 Several Dependent Variables 734
30.1.4 Several Independent Variables 734
30.1.5 Second Variation 735
30.1.6 Variational Problems with Constraints 738
30.2 Lagrangian Dynamics 740
30.2.1 From Newton to Lagrange 740
30.2.2 Lagrangian Densities 744
30.3 Hamiltonian Dynamics 747
30.4 Problems 750
31 Nonlinear Dynamics and Chaos 753
31.1 Systems Obeying Iterated Maps 754
31.1.1 Stable and Unstable Fixed Points 755
31.1.2 Bifurcation 757
31.1.3 Onset of Chaos 761
31.2 Systems Obeying DEs 763
31.2.1 The Phase Space 764
31.2.2 Autonomous Systems 766
31.2.3 Onset of Chaos 770
31.3 Universality of Chaos 773
31.3.1 Feigenbaum Numbers 773
31.3.2 Fractal Dimension 775
31.4 Problems 778
32 Probability Theory 781
32.1 Basic Concepts 781
32.1.1 A Set Theory Primer 782
32.1.2 Sample Space and Probability 784
32.1.3 Conditional and Marginal Probabilities 786
32.1.4 Average and Standard Deviation 789
32.1.5 Counting: Permutations and Combinations 791
32.2 Binomial Probability Distribution 792
32.3 Poisson Distribution 797
32.4 Continuous Random Variable 801
32.4.1 Transformation of Variables 804
32.4.2 Normal Distribution 806
32.5 Problems 809
Bibliography 815
Index 817
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