Discrete Dynamical Modeling - Sandefur, James T.

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Résumé :
This book presents an introduction to a wide range of techniques and applications for dynamical mathematical modelling, modelling that is useful in studying how things change over time. The book uses topics from algebra and encourages students to develop a different way of thinking about mathematics and how to use it in their field of interest. Their are no mathematical prerequisites beyond algebra....

Sommaire:

• Chapter 1: Introduction to dynamic modeling


• 1.: Modeling drugs in the bloodstream


• 2.: Terminology


• 3.: Equilibrium values


• 4.: Dynamic economic applications


• 5.: Applications of dynamics using spreadsheets


• Chapter 2: First order dynamical systems


• 1.: Solutions to linear dynamical systems with applications


• 2.: Solutions to an affine dynamical system


• 3.: An introduction to genetics


• 4.: Solution to affine dynamical systems with applications


• 5.: Applications to finance


• Chapter 3: Introduction to probability


• 1.: The multiplication to probability


• 2.: Introduction to probability


• 3.: Multistage tasks


• 4.: An introduction to Markov chains


• Chapter 4: Nonhomogeneous dynamical systems


• 1.: Exponential terms


• 2.: Exponential terms, a special case


• 3.: Fractal geometry


• 4.: Polynomial terms


• 5.: Polynomial terms, a special case


• Chapter 5: Higher order linear dynamical systems 183


• 1.: An introduction to second order linear equations


• 2.: Multiple roots


• 3.: The gambler's ruin


• 4.: Sex-linked genes


• 5.: Stability for second order affine equations


• 6.: Modeling a vibrating string


• 7.: Second order nonhomogeneous equations


• 8.: Gambler's ruin revisited


• 9.: A model of a national economy


• 10.: Dynamical systems with order greater than two


• 11.: Solutions involving trigonometric functions


• Chapter 6: Introduction to nonlinear dynamical systems


• 1.: A model of population growth


• 2.: Using linearization to study stability


• 3.: Harvesting strategies


• 4.: More linearization


• Chapter 7: Vectors and matrices


• 1.: Introduction to vectors and matrices


• 2.: Rules of linear algebra


• 3.: Gauss-Jordan elimination


• 4.: Determinants


• 5.: Inverse matrices


• Chapter 8: Dynamical systems of several equations


• 1.: Introduction to dynamical systems of several equations


• 2.: Characteristic values


• 3.: First order dynamical systems of several equations


• 4.: Regular Markov chains


• 5.: Absorbing Markov chains


• 6.: Applications of absorbing Markov chains


• 7.: Long term behavior of solutions


• 8.: The heat equation


• 9.: Bibliography