For centuries, differential equations have been the key to unlocking nature's deepest secrets. Over 300 years ago, Isaac Newton invented differential equations to understand the problem of motion, and he developed calculus in order to solve differential equations.
Since then, differential equations have been the essential tool for analyzing the process of change, whether in physics, engineering, biology, or any other field where it's important to predict how something behaves over time.
The pinnacle of a mathematics education, differential equations assume a basic knowledge of calculus, and they have traditionally required the rote memorization of a vast "cookbook" of formulas and specialized tricks needed to find explicit solutions. Even then, most problems involving differential equations had to be simplified, often in unrealistic ways; and a huge number of equations defied solution at all using these techniques.
But that was before computers revolutionized the field, extending the reach of differential equations into previously unexplored areas and allowing solutions to be approximated and displayed in easy-to-grasp computer graphics. For the first time, a method exists that can start a committed learner on the road to mastering this beautiful application of the ideas and techniques of calculus.
Mastering Differential Equations: The Visual Method takes you on this amazing mathematical journey in 24 intellectually stimulating and visually engaging half-hour lectures taught by a pioneer of the visual approach, Professor Robert L. Devaney of Boston University, coauthor of one of the most widely used textbooks on ordinary differential equations.
Author(s): Robert L. Devaney
Publisher: The Great Courses
Year: 2011
Language: English
Pages: C, vi, 311
Tags: Математика;Дифференциальные уравнения;
24 Lectures
1 What Is a Differential Equation?
2 A Limited-Growth Population Model
3 Classification of Equilibrium Points
4 Bifurcations—Drastic Changes in Solutions
5 Methods for Finding Explicit Solutions
6 How Computers Solve Differential Equations
7 Systems of Equations—A Predator-Prey System
8 Second-Order Equations—The Mass-Spring System
9 Damped and Undamped Harmonic Oscillators
10 Beating Modes and Resonance of Oscillators
11 Linear Systems of Differential Equations
12 An Excursion into Linear Algebra
13 Visualizing Complex and Zero Eigenvalues
14 Summarizing All Possible Linear Solutions
15 Nonlinear Systems Viewed Globally—Nullclines
16 Nonlinear Systems near Equilibria—Linearization
17 Bifurcations in a Competing Species Model
18 Limit Cycles and Oscillations in Chemistry
19 All Sorts of Nonlinear Pendulums
20 Periodic Forcing and How Chaos Occurs
21 Understanding Chaos with Iterated Functions
22 Periods and Ordering of Iterated Functions
23 Chaotic Itineraries in a Space of All Sequences
24 Conquering Chaos—Mandelbrot and Julia Sets What is the big picture of chaos that is now emerging? Center your investigation on the complex plane, where iterated functions produce shapes called fractals, including the Mandelbrot and Julia sets. Close by considering how far you've come—from the dawn of differential equations in the 17th century to fractals and beyond.