'Equilibrium solutions' diaporamas de présentation

DIFFERENTIAL EQUATIONS

9. DIFFERENTIAL EQUATIONS. DIFFERENTIAL EQUATIONS. We have looked at a variety of models for the growth of a single species that lives alone in an environment. DIFFERENTIAL EQUATIONS. 9.6 Predator-Prey Systems. In this section, we will learn about:

901 views • 59 slides

The Gallium Arsenide Wafer Problem

The Gallium Arsenide Wafer Problem. Industrial Needs versus Mathematical Capabilities. Margarita Naldzhieva joint work with Wolfgang Dreyer, Barbara Niethammer. DFG Research Center M ATHEON Mathematics for key technologies.

600 views • 45 slides

Math 3C Practice Final Problems

368 views • 36 slides

Helen Allison Frank Murray Richard Hobbs

A policy analysis of market-based mechanisms to effect natural resource management in the SW region of WA A case study of emissions trading of carbon offsets. Helen Allison Frank Murray Richard Hobbs. School of Environmental Science. Outline. The problem Research question Hypotheses

436 views • 32 slides

Ch 2.5: Autonomous Equations and Population Dynamics

Ch 2.5: Autonomous Equations and Population Dynamics. In this section we examine equations of the form d y/dt = f ( y ), called autonomous equations, where the independent variable t does not appear explicitly .

832 views • 24 slides

Ch 2.5: Autonomous Equations and Population Dynamics

Ch 2.5: Autonomous Equations and Population Dynamics. In this section we examine equations of the form y ' = f ( y ), called autonomous equations, where the independent variable t does not appear explicitly .

300 views • 22 slides

Ch 2.5: Autonomous Equations and Population Dynamics

Ch 2.5: Autonomous Equations and Population Dynamics. In this section we examine equations of the form y ' = f ( y ), called autonomous equations, where the independent variable t does not appear explicitly .

296 views • 22 slides

Ch2-Sec(2.5): Autonomous Equations and Population Dynamics

Ch2-Sec(2.5): Autonomous Equations and Population Dynamics. In this section we examine equations of the form y ' = f ( y ), called autonomous equations, where the independent variable t does not appear explicitly .

228 views • 22 slides

An n -Dimensional Extension of the Volterra-Lotka Model

An n -Dimensional Extension of the Volterra-Lotka Model. Ariel Krasik-Geiger Jon (Ari) Miller Math 314-Differential Equations 12/3/2008. Modeling Food Chain Behavior(1). Conceptually, we began with the Volterra-Lotka model as inspiration for food chain behavior.

307 views • 18 slides

Sections 15.1-2 Equilibrium and the Equilibrium Constant

372 views • 15 slides

Ch 1.1: Basic Mathematical Models; Direction Fields

Ch 1.1: Basic Mathematical Models; Direction Fields. Differential equations are equations containing derivatives. The following are examples of physical phenomena involving rates of change: Motion of fluids Motion of mechanical systems Flow of current in electrical circuits

347 views • 13 slides

Ch 1.1: Basic Mathematical Models; Direction Fields

Ch 1.1: Basic Mathematical Models; Direction Fields. Differential equations are equations containing derivatives. The following are examples of physical phenomena involving rates of change: Motion of fluids Motion of mechanical systems Flow of current in electrical circuits

232 views • 13 slides

Difference Equations and Period Doubling

Difference Equations and Period Doubling. u n+1 = ?u n (1-u n ). Why we use Difference Equations Overview of Difference Equations Step 1: Graphical Representation Step 2: Exchange of Stability Step 3: Increasing Parameter (?) Step 4: Period Doubling/Bifurcation.

249 views • 13 slides

Population Dynamics

Population Dynamics. Application of Eigenvalues & Eigenvectors. Consider the system of equations The critical points are (0,0), (1,0), (0,2) & (.5,.5). These critical points correspond to equilibrium solutions. Linearization for critical point (0,0).

172 views • 7 slides

Ch 1.1: Basic Mathematical Models; Direction Fields

Ch 1.1: Basic Mathematical Models; Direction Fields. Differential equations are equations containing derivatives. Derivatives describe rates of change. The following are examples of physical phenomena involving rates of change: Motion of fluids Motion of mechanical systems

237 views • 6 slides

Section 3.1

Section 3.1. PROPERTIES OF LINEAR SYSTEMS AND THE LINEARITY PRINCIPLE. Intro to linear systems. Lots of useful systems of DEs are in the form Examples include the damped (or undamped) harmonic oscillator (see p. 234) and the competing stores model (see p. 235).

125 views • 4 slides