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12-The Laplace transform
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Advanced Engineering Mathematics Course - 12-The Laplace transform

Master Differential Equations & Matrices with Dr. Noureldin: From Fundamentals to Advanced Problem Solving!

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What you'll learn

Understand and solve separable and linear differential equations.
Apply techniques for solving exact, Bernoulli, and Riccati differential equations.
Utilize the Laplace transform for solving initial value problems.
Perform matrix operations including finding determinants and inverses.

This course includes

  • 17.5 hours of video
  • Certificate of completion
  • Access on mobile and TV

Summary

Full Transcript

The Laplace transform is an important tool for solving certain kinds of initial value problems, particularly those involving discontinuous forcing functions, as occur frequently in areas such as electrical engineering. It is also used to solve boundary value problems involving partial differential equations to analyze wave and diffusion phenomena. Course Description (based on O'Neil textbook): INTRODUCTION CHAPTER 1 First-Order Differential Equations 1.1 Terminology and Separable Equations 1.2 Linear Equations 1.3 Exact Equations 1.4 Homogeneous and Bernoulli Equations 1.4.1 The Homogeneous Differential Equation 1.4.2 The Bernoulli Equation CHAPTER 2 Linear Second-Order Equations 2.1 The Linear Second-Order Equation 2.2 The Constant Coefficient Case 2.3 The Nonhomogeneous Equation 2.3.1 Variation of Parameters 2.3.2 Undetermined Coefficients 2.3.3 The Principle of Superposition 2.4 Spring Motion 2.4.1 Unforced Motion 2.4.2 Forced Motion 2.4.3 Resonance 2.5 Euler’s Differential Equation CHAPTER 3 The Laplace Transform 3.1 Definition and Notation 3.2 Solution of Initial Value Problems 3.3 Shifting and the Heaviside Function 3.3.1 The First Shifting Theorem 3.3.2 The Heaviside Function and Pulses 3.3.3 Heaviside’s Formula 3.4 Convolution 3.6 Solution of Systems CHAPTER 7 Matrices and Linear Systems 7.1 Matrices 7.1.1 Matrix Multiplication from another perspective 7.1.2 Terminology and Special Matrices 7.2 Elementary Row Operations 7.3 Reduced Row Echelon Form 7.5 Homogeneous Systems 7.6 Nonhomogeneous Systems 7.7 Matrix Inverses CHAPTER 8 Determinants 8.1 Definition of the Determinant 8.2 Evaluation of Determinants I 8.3 Evaluation of Determinants II 8.4 A Determinant Formula for A-1 8.5 Cramer’s Rule Introduction to Eigenvalues and Eigenvectors CHAPTER 13 Fourier Series (Introduction only) 13.1 Why Fourier Series? 13.2 The Fourier Series of a Function Main Text Books: Advanced Engineering Mathematics, by O'Neil, 7th edition Other books for reading: Advanced Engineering Mathematics, 9th ed. by E. Kreyszig Keywords: Advanced Engineering Mathematics course, Advanced Mathematics for Engineers, Ordinary Differential Equation, Mathematics class, online class mathematics, SKKU Math class, GEDB004-51, Dr. Noureldin, Dr. Mohamed Noureldin, SKKU, Advanced Engineering Mathematics, O'Neil, Kreyszig, First-Order Differential Equations, Linear Equations, Exact Equations, Homogeneous Differential Equation, Bernoulli Equation, Resonance, Euler’s Differential Equation, The Laplace Transform, Initial Value Problems, Shifting and the Heaviside Function, First Shifting Theorem, Convolution, Matrices, Nonhomogeneous Systems, Cramer’s Rule, to Eigenvalues and Eigenvectors, Fourier Series

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