| Title: | Modeling Life |
| Other Titles: | The Mathematics of Biological Systems |
| Authors: | Garfinkel, Alan |
| Keywords: | Mathematics Biological Systems |
| Issue Date: | 2017 |
| Publisher: | Springer |
| Abstract: | The text follows what we consider to be a twentieth-century math approach to the subject. The technical development of calculus in the eighteenth and nineteenth centuries saw differential equations as pieces of language, which were then to be operated on by paper-and-pencil tech- niques to produce other pieces of language (the “solutions”). This had worked well for Newton in the gravitational 2-body problem (1687), and was the paradigm for applied math in the centuries that followed. The Newtonian program came to a dramatic dead end with the 3-body problem, an obvious and more valid extension of the 2-body problem. The 3-body problem had proved analytically intractable for centuries, and in the late nineteenth century, results by Haretu and Poincaré showed that the series expansions that were the standard technique actually diverged. Then the discovery by Bruns that no quantitative methods other than series expansions could resolve the n-body problem meant the end of the line for the Newtonian program of writing a differential equation and solving it (Abraham and Marsden, 1978). It was Poincaré’s genius to see that while this represented “calculus : fail,” it was also the springboard for an entirely new approach that focused on topology and geometry and less on analytical methods. His groundbreaking paper was called “On the curves defined by a differential equation,” linking two very different areas: differential equations (language) and curves, which are geometrical objects. The distinction is critical: solution curves almost always exist (Picard– Lindelöf theorem), but their equations almost never do. |
| Description: | Poincaré went on to redefine the purpose of studying differential equations. With his new invention, topology, he was able to define qualitative dynamics, which is the study of the forms of motion that can occur in solutions to a differential equation, and the concept of bifurcation, which is a change in the topological type of the solution. The subsequent development of mathematics in the twentieth century saw many previously intuitive concepts get rigorous definitions as mathematical objects. The most important devel- opment for this text was the replacement of the vague and unhelpful concept of a differential equation by the rigorous geometric concept of a vector field, a function from a multidimensional state space to its tangent space, assigning “change vectors” to every point in state space. (In its full generality, the state space is a multidimensional differentiable manifold M, and the vector field is a smooth function from M into its tangent bundle T (M). Here, with a few exceptions, M is Euclidean n-space R n .) It is this concept that drives our entire presentation: a model for a system generates a differential equation, which is used to set up a vector field on the system state space. The resulting behavior of the system is to evolve at every point by moving tangent to the vector field at that point. We believe that this twentieth-century mathematical concept is not just more rigorous, but in fact makes for superior pedagogy.x Preface |
| URI: | http://localhost:8080/xmlui/handle/123456789/284 |
| ISBN: | 978-3-319-59731-7 DOI 10.1007/978-3-319-59731-7 |
| Appears in Collections: | ARTS & SCIENCE |
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2017_Book_ModelingLife.pdf | 8.63 MB | Adobe PDF | View/Open |
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