The purpose of this four volume series is to make available for college teachers and students samples of important and realistic applications of mathematics which can be covered in undergraduate programs. The goal is to provide illustrations of how modem mathematics is actually employed to solve relevant contemporary problems. Although these independent chapters were prepared primarily for teachers in the general mathematical sciences, they should prove valuable to students, teachers, and research scientists in many of the fields of application as well. Prerequisites for each chapter and…mehr
The purpose of this four volume series is to make available for college teachers and students samples of important and realistic applications of mathematics which can be covered in undergraduate programs. The goal is to provide illustrations of how modem mathematics is actually employed to solve relevant contemporary problems. Although these independent chapters were prepared primarily for teachers in the general mathematical sciences, they should prove valuable to students, teachers, and research scientists in many of the fields of application as well. Prerequisites for each chapter and suggestions for the teacher are provided. Several of these chapters have been tested in a variety of classroom settings, and all have undergone extensive peer review and revision. Illustrations and exercises are included in most chapters. Some units can be covered in one class, whereas others provide sufficient material for a few weeks of class time. Volume 1 contains 23 chapters and deals with differential equations and, in the last four chapters, problems leading to partial differential equations. Applications are taken from medicine, biology, traffic systems and several other fields. The 14 chapters in Volume 2 are devoted mostly to problems arising in political science, but they also address questions appearing in sociology and ecology. Topics covered include voting systems, weighted voting, proportional representation, coalitional values, and committees. The 14 chapters in Volume 3 emphasize discrete mathematical methods such as those which arise in graph theory, combinatorics, and networks.
I. Differential Equations, Models, and What To Do with Them.- 1. Setting Up First-Order Differential Equations from Word Problems.- 1. Introduction.- 2. Guidelines.- 3. Examples.- Exercises.- Solutions.- Notes for the Instructor.- 2. Qualitative Solution Sketching for First-Order Differential Equations.- 1. Introduction.- 2. Direction Field.- 3. Relevance of Uniqueness Theorems.- 4. Sketching of Solutions.- 5. Discussion of Equilibria and Stability.- 6. A More Difficult Example.- Exercises.- Solutions to Exercises.- Notes for the Instructor.- 3. Difference and Differential Equation Population Growth Models.- 1. Introduction.- 2. Solution of the Difference Equation.- 3. Solution of the Differential Equation.- 4. Linearized Stability Analysis.- 5. Interpretation of Results.- 6. Concluding Remarks.- 7. Appendix: The Basic Model.- Exercises.- Solutions.- References.- Notes for the Instructor.- II. Growth and Decay Models: First-Order Differential Equations.- 4. The Van Meegeren Art Forgeries.- Exercises.- References.- Notes for the Instructor.- 5. Single Species Population Models.- Exercises.- References.- Notes for the Instructor.- 6. The Spread of Technological Innovations.- Martin Braun.- Exercises.- References.- Notes for the Instructor.- III. Higher Order Linear Models.- 7. A Model for the Detection of Diabetes.- Exercises.- References.- Notes for the Instructor.- 8. Combat Models.- 1. Introduction.- 2. Three Lanchester Combat Models.- 3. Conventional Combat: The Square Law.- 4. Guerrilla Combat: The Linear Law.- 5. Vietnam: The Parabolic Law.- 6. The Battle of Iwo Jima.- 7. Mathematical Models of Combat: The Dark Side of Modeling.- Exercises.- Project.- References.- Notes for the Instructor.- 9. Modeling Linear Systems by Frequency Response Methods.- 1. Introduction.- 2. Modeling the Human Operator.- 3. Properties and Techniques of Frequency Response Modeling.- 4. Project Human Operator Experimental Data.- 5. Further Topics.- References.- Notes for the Instructor.- IV. Traffic Models.- 10. How Long Should a Traffic Light Remain Amber?.- 1. The Problem and the Model.- 2. The Solution.- Exercises.- References.- Notes for the Instructor.- 11. Queue Length at a Traffic Light via Flow Theory.- 1. The Problem: A Simple Model.- 2. A Better Model.- Exercises.- References.- Notes for the Instructor.- 12. Car-Following Models.- 1. Introduction.- 2. Complexity of Actual Car-Following: Simplicity of Car-Following Models.- 3. Pipes' Model.- 4. Linear Car-Following with Delays.- 5. Incorporation of Pipes' Model into Linear Car-Following.- 6. Stability of Linear Car-Following Theory.- 7. Nonlinear Car-Following Laws.- 8. Steady-State Flow.- 9. Conclusion.- 10. Appendices.- Exercises.- References.- Notes for the Instructor.- 13. Equilibrium Speed Distributions.- 1. Speed Distributions.- 2. Overtaking.- 3. Passing.- 4. Equilibrium Distributions.- Exercises.- References.- Notes for the Instructor.- 14. Traffic Flow Theory.- 1. Basic Equations.- 2. Propagation of a Disturbance.- 3. Shocks.- Exercises.- References.- Notes for the Instructor.- V. Interacting Species: Steady States of Nonlinear Systems.- 15. Why the Percentage of Sharks Caught in the Mediterranean Sea Rose Dramatically During World War I.- Exercises.- References.- Notes for the Instructor.- 16. Quadratic Population Models: Almost Never Any Cycles.- 1. Quadratic Population Models.- 2. Equilibrium Populations: No Cycles.- 3. The D'Ancona-Volterra Model: All Cycles.- 4. Stability.- 5. Which Model?.- Exercises.- References.- Notes for the Instructor.- 17. The Principle of Competitive Exclusion in Population Biology.- Exercises.- References.- Notes for the Instructor.- 18. Biological Cycles and the Fivefold Way.- 1. Prologue.- 2. The Canadian Lynx Cycle.- 3. The Canadian Lynx-Snowshoe Hare Cycle.- 4. A Two-Species Population Model.- 5. Differential Systems-Solutions, Orbits, Equilibria.- 6. The Fivefold Way.- 7. Predator-Prey Models: Kolmogorov's Theorem.- 8. Epilogue: Do Hares Eat t
I. Differential Equations, Models, and What To Do with Them.- 1. Setting Up First-Order Differential Equations from Word Problems.- 1. Introduction.- 2. Guidelines.- 3. Examples.- Exercises.- Solutions.- Notes for the Instructor.- 2. Qualitative Solution Sketching for First-Order Differential Equations.- 1. Introduction.- 2. Direction Field.- 3. Relevance of Uniqueness Theorems.- 4. Sketching of Solutions.- 5. Discussion of Equilibria and Stability.- 6. A More Difficult Example.- Exercises.- Solutions to Exercises.- Notes for the Instructor.- 3. Difference and Differential Equation Population Growth Models.- 1. Introduction.- 2. Solution of the Difference Equation.- 3. Solution of the Differential Equation.- 4. Linearized Stability Analysis.- 5. Interpretation of Results.- 6. Concluding Remarks.- 7. Appendix: The Basic Model.- Exercises.- Solutions.- References.- Notes for the Instructor.- II. Growth and Decay Models: First-Order Differential Equations.- 4. The Van Meegeren Art Forgeries.- Exercises.- References.- Notes for the Instructor.- 5. Single Species Population Models.- Exercises.- References.- Notes for the Instructor.- 6. The Spread of Technological Innovations.- Martin Braun.- Exercises.- References.- Notes for the Instructor.- III. Higher Order Linear Models.- 7. A Model for the Detection of Diabetes.- Exercises.- References.- Notes for the Instructor.- 8. Combat Models.- 1. Introduction.- 2. Three Lanchester Combat Models.- 3. Conventional Combat: The Square Law.- 4. Guerrilla Combat: The Linear Law.- 5. Vietnam: The Parabolic Law.- 6. The Battle of Iwo Jima.- 7. Mathematical Models of Combat: The Dark Side of Modeling.- Exercises.- Project.- References.- Notes for the Instructor.- 9. Modeling Linear Systems by Frequency Response Methods.- 1. Introduction.- 2. Modeling the Human Operator.- 3. Properties and Techniques of Frequency Response Modeling.- 4. Project Human Operator Experimental Data.- 5. Further Topics.- References.- Notes for the Instructor.- IV. Traffic Models.- 10. How Long Should a Traffic Light Remain Amber?.- 1. The Problem and the Model.- 2. The Solution.- Exercises.- References.- Notes for the Instructor.- 11. Queue Length at a Traffic Light via Flow Theory.- 1. The Problem: A Simple Model.- 2. A Better Model.- Exercises.- References.- Notes for the Instructor.- 12. Car-Following Models.- 1. Introduction.- 2. Complexity of Actual Car-Following: Simplicity of Car-Following Models.- 3. Pipes' Model.- 4. Linear Car-Following with Delays.- 5. Incorporation of Pipes' Model into Linear Car-Following.- 6. Stability of Linear Car-Following Theory.- 7. Nonlinear Car-Following Laws.- 8. Steady-State Flow.- 9. Conclusion.- 10. Appendices.- Exercises.- References.- Notes for the Instructor.- 13. Equilibrium Speed Distributions.- 1. Speed Distributions.- 2. Overtaking.- 3. Passing.- 4. Equilibrium Distributions.- Exercises.- References.- Notes for the Instructor.- 14. Traffic Flow Theory.- 1. Basic Equations.- 2. Propagation of a Disturbance.- 3. Shocks.- Exercises.- References.- Notes for the Instructor.- V. Interacting Species: Steady States of Nonlinear Systems.- 15. Why the Percentage of Sharks Caught in the Mediterranean Sea Rose Dramatically During World War I.- Exercises.- References.- Notes for the Instructor.- 16. Quadratic Population Models: Almost Never Any Cycles.- 1. Quadratic Population Models.- 2. Equilibrium Populations: No Cycles.- 3. The D'Ancona-Volterra Model: All Cycles.- 4. Stability.- 5. Which Model?.- Exercises.- References.- Notes for the Instructor.- 17. The Principle of Competitive Exclusion in Population Biology.- Exercises.- References.- Notes for the Instructor.- 18. Biological Cycles and the Fivefold Way.- 1. Prologue.- 2. The Canadian Lynx Cycle.- 3. The Canadian Lynx-Snowshoe Hare Cycle.- 4. A Two-Species Population Model.- 5. Differential Systems-Solutions, Orbits, Equilibria.- 6. The Fivefold Way.- 7. Predator-Prey Models: Kolmogorov's Theorem.- 8. Epilogue: Do Hares Eat t
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