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Guide to Essential Math : A Review for Physics, Chemistry and Engineering Students / Sy M. Blinder.

Por: Editor: Saint Louis : Elsevier, 2013Fecha de copyright: ©2013Edición: Second editionDescripción: 1 online resource (285 pages)Tipo de contenido:
  • text
Tipo de medio:
  • computer
Tipo de soporte:
  • online resource
ISBN:
  • 9780124071582
Tema(s): Género/Forma: Formatos físicos adicionales: Print version:: Guide to Essential MathClasificación CDD:
  • 510.245
Clasificación LoC:
  • QA37.3  .B55 2013
Contenidos:
Intro -- Half Title -- Title Page -- Copyright -- Contents -- To the Reader -- Preface to Second Edition -- Mathematical Thinking -- 1.1 The NCAA March Madness Problem -- 1.2 Gauss and the Arithmetic Series -- 1.3 The Pythagorean Theorem -- 1.4 Torus Area and Volume -- 1.5 Einstein's Velocity Addition Law -- 1.6 The Birthday Problem -- 1.7 Fibonacci Numbers and the Golden Ratio -- 1.8 sqrtpi in the Gaussian Integral -- 1.9 Function Equal to Its Derivative -- 1.10 Stirling's Approximation for N! -- 1.11 Potential and Kinetic Energies -- 1.12 Riemann Zeta Function and Prime Numbers -- 1.13 How to Solve It -- 1.13.1 Understanding the Problem -- 1.13.2 Devising a Plan -- 1.13.3 Carrying Out the Plan -- 1.13.4 Looking Back -- 1.14 A Note on Mathematical Rigor -- Numbers -- 2.1 Integers -- 2.2 Primes -- 2.3 Divisibility -- 2.4 Rational Numbers -- 2.5 Exponential Notation -- 2.6 Powers of 10 -- 2.7 Binary Number System -- 2.8 Infinity -- Algebra -- 3.1 Symbolic Variables -- 3.2 Legal and Illegal Algebraic Manipulations -- 3.3 Factor-Label Method -- 3.4 Powers and Roots -- 3.5 Logarithms -- 3.6 The Quadratic Formula -- 3.7 Imagining i -- 3.8 Factorials, Permutations and Combinations -- 3.9 The Binomial Theorem -- 3.10 e is for Euler -- Trigonometry -- 4.1 What Use is Trigonometry? -- 4.2 Geometry of Triangles -- 4.3 The Pythagorean Theorem -- 4.4 π in the Sky -- 4.5 Sine and Cosine -- 4.6 Tangent and Secant -- 4.7 Trigonometry in the Complex Plane -- 4.8 de Moivre's Theorem -- 4.9 Euler's Theorem -- 4.10 Hyperbolic Functions -- Analytic Geometry -- 5.1 Functions and Graphs -- 5.2 Linear Functions -- 5.3 Conic Sections -- 5.4 Conic Sections in Polar Coordinates -- Calculus -- 6.1 A Little Road Trip -- 6.2 A Speedboat Ride -- 6.3 Differential and Integral Calculus -- 6.4 Basic Formulas of Differential Calculus -- 6.5 More on Derivatives.
6.6 Indefinite Integrals -- 6.7 Techniques of Integration -- 6.8 Curvature, Maxima and Minima -- 6.9 The Gamma Function -- 6.10 Gaussian and Error Functions -- 6.11 Numerical Integration -- Series and Integrals -- 7.1 Some Elementary Series -- 7.2 Power Series -- 7.3 Convergence of Series -- 7.4 Taylor Series -- 7.5 Bernoulli and Euler Numbers -- 7.6 L'Hôpital's Rule -- 7.7 Fourier Series -- 7.8 Dirac Deltafunction -- 7.9 Fourier Integrals -- 7.10 Generalized Fourier Expansions -- 7.11 Asymptotic Series -- Differential Equations -- 8.1 First-Order Differential Equations -- 8.2 Numerical Solutions -- 8.3 AC Circuits -- 8.4 Second-Order Differential Equations -- 8.5 Some Examples from Physics -- 8.6 Boundary Conditions -- 8.7 Series Solutions -- 8.8 Bessel Functions -- 8.9 Second Solution -- 8.10 Eigenvalue Problems -- Matrix Algebra -- 9.1 Matrix Multiplication -- 9.2 Further Properties of Matrices -- 9.3 Determinants -- 9.4 Matrix Inverse -- 9.5 Wronskian Determinant -- 9.6 Special Matrices -- 9.7 Similarity Transformations -- 9.8 Matrix Eigenvalue Problems -- 9.9 Diagonalization of Matrices -- 9.10 Four-Vectors and Minkowski Spacetime -- Group Theory -- 10.1 Introduction -- 10.2 Symmetry Operations -- 10.3 Mathematical Theory of Groups -- 10.4 Representations of Groups -- 10.5 Group Characters -- 10.6 Group Theory in Quantum Mechanics -- 10.7 Molecular Symmetry Operations -- Multivariable Calculus -- 11.1 Partial Derivatives -- 11.2 Multiple Integration -- 11.3 Polar Coordinates -- 11.4 Cylindrical Coordinates -- 11.5 Spherical Polar Coordinates -- 11.6 Differential Expressions -- 11.7 Line Integrals -- 11.8 Green's Theorem -- Vector Analysis -- 12.1 Scalars and Vectors -- 12.2 Scalar or Dot Product -- 12.3 Vector or Cross Product -- 12.4 Triple Products of Vectors -- 12.5 Vector Velocity and Acceleration -- 12.6 Circular Motion.
12.7 Angular Momentum -- 12.8 Gradient of a Scalar Field -- 12.9 Divergence of a Vector Field -- 12.10 Curl of a Vector Field -- 12.11 Maxwell's Equations -- 12.12 Covariant Electrodynamics -- 12.13 Curvilinear Coordinates -- 12.14 Vector Identities -- Partial Differential Equations and Special Functions -- 13.1 Partial Differential Equations -- 13.2 Separation of Variables -- 13.3 Special Functions -- 13.4 Leibniz's Formula -- 13.5 Vibration of a Circular Membrane -- 13.6 Bessel Functions -- 13.7 Laplace's Equation in Spherical Coordinates -- 13.8 Legendre Polynomials -- 13.9 Spherical Harmonics -- 13.10 Spherical Bessel Functions -- 13.11 Hermite Polynomials -- 13.12 Laguerre Polynomials -- 13.13 Hypergeometric Functions -- Complex Variables -- 14.1 Analytic Functions -- 14.2 Derivative of an Analytic Function -- 14.3 Contour Integrals -- 14.4 Cauchy's Theorem -- 14.5 Cauchy's Integral Formula -- 14.6 Taylor Series -- 14.7 Laurent Expansions -- 14.8 Calculus of Residues -- 14.9 Multivalued Functions -- 14.10 Integral Representations for Special Functions -- About the Author.
Resumen: This book reminds students in junior, senior and graduate level courses in physics, chemistry and engineering of the math they may have forgotten (or learned imperfectly) that is needed to succeed in science courses. The focus is on math actually used in physics, chemistry, and engineering, and the approach to mathematics begins with 12 examples of increasing complexity, designed to hone the student's ability to think in mathematical terms and to apply quantitative methods to scientific problems. Detailed illustrations and links to reference material online help further comprehension. The second edition features new problems and illustrations and features expanded chapters on matrix algebra and differential equations. Use of proven pedagogical techniques developed during the author's 40 years of teaching experience New practice problems and exercises to enhance comprehension Coverage of fairly advanced topics, including vector and matrix algebra, partial differential equations, special functions and complex variables.
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Imagen de cubierta Tipo de ítem Biblioteca actual Biblioteca de origen Colección Ubicación en estantería Signatura topográfica Materiales especificados Info Vol URL Copia número Estado Notas Fecha de vencimiento Código de barras Reserva de ítems Prioridad de la cola de reserva de ejemplar Reservas para cursos
Libro electrónico Biblioteca de Mayagüez Acceso en línea QA37.3 .B55 2013 (Navegar estantería(Abre debajo)) Ebook c. 1 Disponible 50000003287348
Libro electrónico Biblioteca Encarnación Valdés Acceso en línea 510.245 (Navegar estantería(Abre debajo)) Disponible EBC1144256
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Descripciones mejoradas de Syndetics:

This book reminds students in junior, senior and graduate level courses in physics, chemistry and engineering of the math they may have forgotten (or learned imperfectly) that is needed to succeed in science courses. The focus is on math actually used in physics, chemistry, and engineering, and the approach to mathematics begins with 12 examples of increasing complexity, designed to hone the student's ability to think in mathematical terms and to apply quantitative methods to scientific problems. Detailed illustrations and links to reference material online help further comprehension. The second edition features new problems and illustrations and features expanded chapters on matrix algebra and differential equations.- Use of proven pedagogical techniques developed during the author's 40 years of teaching experience- New practice problems and exercises to enhance comprehension- Coverage of fairly advanced topics, including vector and matrix algebra, partial differential equations, special functions and complex variables

Intro -- Half Title -- Title Page -- Copyright -- Contents -- To the Reader -- Preface to Second Edition -- Mathematical Thinking -- 1.1 The NCAA March Madness Problem -- 1.2 Gauss and the Arithmetic Series -- 1.3 The Pythagorean Theorem -- 1.4 Torus Area and Volume -- 1.5 Einstein's Velocity Addition Law -- 1.6 The Birthday Problem -- 1.7 Fibonacci Numbers and the Golden Ratio -- 1.8 sqrtpi in the Gaussian Integral -- 1.9 Function Equal to Its Derivative -- 1.10 Stirling's Approximation for N! -- 1.11 Potential and Kinetic Energies -- 1.12 Riemann Zeta Function and Prime Numbers -- 1.13 How to Solve It -- 1.13.1 Understanding the Problem -- 1.13.2 Devising a Plan -- 1.13.3 Carrying Out the Plan -- 1.13.4 Looking Back -- 1.14 A Note on Mathematical Rigor -- Numbers -- 2.1 Integers -- 2.2 Primes -- 2.3 Divisibility -- 2.4 Rational Numbers -- 2.5 Exponential Notation -- 2.6 Powers of 10 -- 2.7 Binary Number System -- 2.8 Infinity -- Algebra -- 3.1 Symbolic Variables -- 3.2 Legal and Illegal Algebraic Manipulations -- 3.3 Factor-Label Method -- 3.4 Powers and Roots -- 3.5 Logarithms -- 3.6 The Quadratic Formula -- 3.7 Imagining i -- 3.8 Factorials, Permutations and Combinations -- 3.9 The Binomial Theorem -- 3.10 e is for Euler -- Trigonometry -- 4.1 What Use is Trigonometry? -- 4.2 Geometry of Triangles -- 4.3 The Pythagorean Theorem -- 4.4 π in the Sky -- 4.5 Sine and Cosine -- 4.6 Tangent and Secant -- 4.7 Trigonometry in the Complex Plane -- 4.8 de Moivre's Theorem -- 4.9 Euler's Theorem -- 4.10 Hyperbolic Functions -- Analytic Geometry -- 5.1 Functions and Graphs -- 5.2 Linear Functions -- 5.3 Conic Sections -- 5.4 Conic Sections in Polar Coordinates -- Calculus -- 6.1 A Little Road Trip -- 6.2 A Speedboat Ride -- 6.3 Differential and Integral Calculus -- 6.4 Basic Formulas of Differential Calculus -- 6.5 More on Derivatives.

6.6 Indefinite Integrals -- 6.7 Techniques of Integration -- 6.8 Curvature, Maxima and Minima -- 6.9 The Gamma Function -- 6.10 Gaussian and Error Functions -- 6.11 Numerical Integration -- Series and Integrals -- 7.1 Some Elementary Series -- 7.2 Power Series -- 7.3 Convergence of Series -- 7.4 Taylor Series -- 7.5 Bernoulli and Euler Numbers -- 7.6 L'Hôpital's Rule -- 7.7 Fourier Series -- 7.8 Dirac Deltafunction -- 7.9 Fourier Integrals -- 7.10 Generalized Fourier Expansions -- 7.11 Asymptotic Series -- Differential Equations -- 8.1 First-Order Differential Equations -- 8.2 Numerical Solutions -- 8.3 AC Circuits -- 8.4 Second-Order Differential Equations -- 8.5 Some Examples from Physics -- 8.6 Boundary Conditions -- 8.7 Series Solutions -- 8.8 Bessel Functions -- 8.9 Second Solution -- 8.10 Eigenvalue Problems -- Matrix Algebra -- 9.1 Matrix Multiplication -- 9.2 Further Properties of Matrices -- 9.3 Determinants -- 9.4 Matrix Inverse -- 9.5 Wronskian Determinant -- 9.6 Special Matrices -- 9.7 Similarity Transformations -- 9.8 Matrix Eigenvalue Problems -- 9.9 Diagonalization of Matrices -- 9.10 Four-Vectors and Minkowski Spacetime -- Group Theory -- 10.1 Introduction -- 10.2 Symmetry Operations -- 10.3 Mathematical Theory of Groups -- 10.4 Representations of Groups -- 10.5 Group Characters -- 10.6 Group Theory in Quantum Mechanics -- 10.7 Molecular Symmetry Operations -- Multivariable Calculus -- 11.1 Partial Derivatives -- 11.2 Multiple Integration -- 11.3 Polar Coordinates -- 11.4 Cylindrical Coordinates -- 11.5 Spherical Polar Coordinates -- 11.6 Differential Expressions -- 11.7 Line Integrals -- 11.8 Green's Theorem -- Vector Analysis -- 12.1 Scalars and Vectors -- 12.2 Scalar or Dot Product -- 12.3 Vector or Cross Product -- 12.4 Triple Products of Vectors -- 12.5 Vector Velocity and Acceleration -- 12.6 Circular Motion.

12.7 Angular Momentum -- 12.8 Gradient of a Scalar Field -- 12.9 Divergence of a Vector Field -- 12.10 Curl of a Vector Field -- 12.11 Maxwell's Equations -- 12.12 Covariant Electrodynamics -- 12.13 Curvilinear Coordinates -- 12.14 Vector Identities -- Partial Differential Equations and Special Functions -- 13.1 Partial Differential Equations -- 13.2 Separation of Variables -- 13.3 Special Functions -- 13.4 Leibniz's Formula -- 13.5 Vibration of a Circular Membrane -- 13.6 Bessel Functions -- 13.7 Laplace's Equation in Spherical Coordinates -- 13.8 Legendre Polynomials -- 13.9 Spherical Harmonics -- 13.10 Spherical Bessel Functions -- 13.11 Hermite Polynomials -- 13.12 Laguerre Polynomials -- 13.13 Hypergeometric Functions -- Complex Variables -- 14.1 Analytic Functions -- 14.2 Derivative of an Analytic Function -- 14.3 Contour Integrals -- 14.4 Cauchy's Theorem -- 14.5 Cauchy's Integral Formula -- 14.6 Taylor Series -- 14.7 Laurent Expansions -- 14.8 Calculus of Residues -- 14.9 Multivalued Functions -- 14.10 Integral Representations for Special Functions -- About the Author.

This book reminds students in junior, senior and graduate level courses in physics, chemistry and engineering of the math they may have forgotten (or learned imperfectly) that is needed to succeed in science courses. The focus is on math actually used in physics, chemistry, and engineering, and the approach to mathematics begins with 12 examples of increasing complexity, designed to hone the student's ability to think in mathematical terms and to apply quantitative methods to scientific problems. Detailed illustrations and links to reference material online help further comprehension. The second edition features new problems and illustrations and features expanded chapters on matrix algebra and differential equations. Use of proven pedagogical techniques developed during the author's 40 years of teaching experience New practice problems and exercises to enhance comprehension Coverage of fairly advanced topics, including vector and matrix algebra, partial differential equations, special functions and complex variables.

Description based on publisher supplied metadata and other sources.

Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2021. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.

Reseñas proporcionadas por Syndetics

CHOICE Review

The word "review" in the subtitle is accurate: if one has not already seen this material, this is not the place to learn it from the ground up. The review covers (without the precision of most mathematics works) topics from the first three semesters of calculus, plus linear algebra, plus differential equations (ordinary and partial), plus advanced calculus, plus complex variables. And it starts with a little trigonometry and analytic geometry. Blinder (emer., chemistry and physics, Univ. of Michigan, Ann Arbor) strives to be mathematically informal (which leads him on at least one occasion to use a finite sum to approximate a divergent integral). The topics make it similar in coverage to M. Spiegel's Schaum's Outline of Advanced Mathematics for Engineers and Scientists (1971) or various combinations of other books in the "Schaum Outline Series," but without the worked problems. Summing Up: Recommended. Upper-division undergraduates and professionals/practitioners. D. Robbins Trinity College (CT)

Notas de autor provistas por Syndetics

Professor Blinder is Professor Emeritus of Chemistry and Physics at the University of Michigan, Ann Arbor and a senior scientist with Wolfram Research Inc., Champaign, IL.. After receiving his A.B. in Physics and Chemistry from Cornell University, he went on to receive an A. M in Physics, and a Ph. D. in Chemical Physics from Harvard University under Professors W. E. Moffitt and J. H. Van Vleck. He has held positions at Johns Hopkins University, Carnegie-Mellon University, Harvard University, University College London, Centre de Méchanique Ondulatoire Appliquée in Paris, the Mathematical Institute in Oxford, and the University of Michigan. Prof Blinder has won multiple awards for his work, published 4 books, and over 100 journal articles. His research interests include Theoretical Chemistry, Mathematical Physics, applications of quantum mechanics to atomic and molecular structure, theory and applications of Coulomb Propagators, structure and self-energy of the electron, supersymmetric quantum field theory, connections between general relativity and quantum mechanics.
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