1 First-Order Differential Equations 1
1.1 Terminology and Separable Equations 1
1.2 The Linear First-Order Equation 12
1.3 Exact Equations 19
1.4 Homogeneous, Bernoulli and Riccati Equations 28
2 Second-Order Differential Equations 37
2.1 The Linear Second-Order Equation 37
2.2 The Constant Coefficient Homogeneous Equation 41
2.3 Particular Solutions of the Nonhomogeneous Equation 46
2.4 The Euler Differential Equation 53
2.5 Series Solutions 58
3 The Laplace Transform 69
3.1 Definition and Notation 69
3.2 Solution of Initial Value Problems 72
3.3 The Heaviside Function and Shifting Theorems 77
3.4 Convolution 86
3.5 Impulses and the Dirac Delta Function 92
3.6 Systems of Linear Differential Equations 93
iii
, iv CONTENTS
4 Sturm-Liouville Problems and Eigenfunction Expansions 101
4.1 Eigenvalues and Eigenfunctions and Sturm-Liouville Problems 101
4.2 Eigenfunction Expansions 107
4.3 Fourier Series 114
5 The Heat Equation 137
5.1 Diffusion Problems on a Bounded Medium 137
5.2 The Heat Equation With a Forcing Term F (x, t) 147
5.3 The Heat Equation on the Real Line 150
5.4 The Heat Equation on a Half-Line 153
5.5 The Two-Dimensional Heat Equation 155
6 The Wave Equation 157
6.1 Wave Motion on a Bounded Interval 157
6.2 Wave Motion in an Unbounded Medium 167
6.3 d’Alembert’s Solution and Characteristics 173
6.4 The Wave Equation With a Forcing Term K(x, t) 190
6.5 The Wave Equation in Higher Dimensions 192
7 Laplace’s Equation 197
7.1 The Dirichlet Problem for a Rectangle 197
7.2 The Dirichlet Problem for a Disk 202
7.3 The Poisson Integral Formula 205
7.4 The Dirichlet Problem for Unbounded Regions 205
7.5 A Dirichlet Problem in 3 Dimensions 208
7.6 The Neumann Problem 211
7.7 Poisson’s Equation 217
8 Special Functions and Applications 221
8.1 Legendre Polynomials 221
8.2 Bessel Functions 235
8.3 Some Applications of Bessel Functions 251
9 Transform Methods of Solution 263
9.1 Laplace Transform Methods 263
9.2 Fourier Transform Methods 268
9.3 Fourier Sine and Cosine Transforms 271
10 Vectors and the Vector Space Rn 275
10.1 Vectors in the Plane and 3− Space 275
10.2 The Dot Product 277
10.3 The Cross Product 278
10.4 n− Vectors and the Algebraic Structure of Rn 280
10.5 Orthogonal Sets and Orthogonalization 284
10.6 Orthogonal Complements and Projections 287
11 Matrices, Determinants and Linear Systems 291
11.1 Matrices and Matrix Algebra 291
11.2. Row Operations and Reduced Matrices 295
11.3 Solution of Homogeneous Linear Systems 299
11.4 Nonhomogeneous Systems 306
11.5 Matrix Inverses 313
11.6 Determinants 315
11.7 Cramer’s Rule 318
11.8 The Matrix Tree Theorem 320
The benefits of buying summaries with Stuvia:
Guaranteed quality through customer reviews
Stuvia customers have reviewed more than 700,000 summaries. This how you know that you are buying the best documents.
Quick and easy check-out
You can quickly pay through credit card or Stuvia-credit for the summaries. There is no membership needed.
Focus on what matters
Your fellow students write the study notes themselves, which is why the documents are always reliable and up-to-date. This ensures you quickly get to the core!
Frequently asked questions
What do I get when I buy this document?
You get a PDF, available immediately after your purchase. The purchased document is accessible anytime, anywhere and indefinitely through your profile.
Satisfaction guarantee: how does it work?
Our satisfaction guarantee ensures that you always find a study document that suits you well. You fill out a form, and our customer service team takes care of the rest.
Who am I buying these notes from?
Stuvia is a marketplace, so you are not buying this document from us, but from seller Succeed. Stuvia facilitates payment to the seller.
Will I be stuck with a subscription?
No, you only buy these notes for $28.99. You're not tied to anything after your purchase.