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You need to be familiar with Theorem 1.2.1, page 15, in Zill dealing with existence and uniqueness of solutions to first order differential equations with a condition attached. PowerPoint Presentation of Solutions to Separable First Order Differential Equations 2.2 You will need to be able to solve a separable first order differential equation. Here is another java applet DE solution grapher that also draws the direction field. 2.3 You will need to be able to solve a linear first order differential equation. 2.4 You will need to be able to solve a first order differential equation that is exact and also one that can be made exact by using a suitable integrating factor that is a function of one variable. 2.5 You will need to know some of the substitutions that can be made to transform a first order differential equation into a form in which it can be solved. These would include the substitution that would turn a homogeneous equation (as defined on the top of page 71 in Zill) into one that is separable and the substitution that would transform a Bernoulli Equation (defined at the bottom of page 72 in Zill) into a linear equation. See also how to turn an equation of the form of equation (5) on page 73 in Zill into one that is separable. PowerPoint Presentation of Solutions to Non-Separable First Order Differential Equations 2.6 You will need to be able to understand and articulate in words the two simplest numerical methods for approximating discrete solutions to first order differential equations, Euler's Method and the Improved Euler Method. Here is SOS Math on Numerical Methods. I will demonstrate in class TI and Excel numerical solutions. Here is a java applet demonstrating Euler's Method and a Second Order Runge-Kutta Method. This link takes you to the UBC introduction to Euler's Method. Here is a link to Euler's Method in Pictures. Here are two more java applets demonstrating numerical methods of solving first order ordinary differential equations. This one uses Euler's Method and draws the direction fields in solving dy/dx = axm + byn with 0 < x < 3 and 0 < y < 3. This one demonstrates Euler, Improved Euler, and Runge-Kutta. Another interesting approach (that you will not be tested on) is the Picard Iterative Process. Click here to see some solutions to sample equations along with solution graphs. 3.1 and 3.2 You will need to be able to develop the differential equation to model exponential population growth and logistic population growth, radioactive decay, Newton's Law of Cooling, vertical motion with air resistance proportional to velocity (see projectile motion, the parachute example) and mixture problems. This is another logistic growth link. Here is an applet for discrete inhibited population growth and another one referenced as logistics population growth. Here is a nice set of examples including applications involving separable differential equations found by Frederick Bass. The examples include an excellent one on population growth. Here are more examples including Newton's Law of Cooling and mixture examples from the same source, Joseph Mahaffy from San Diego State University. The link will take you to his Differential Equations site. When you get there you will need to click on Lectures and then on Linear Differential Equations. There are lots of other good DE things at this site too.
Click here for a sample test problem on parachuting including the development of the velocity function and a few hints and helpful graphs and a link to the solution. SUPER EC Derive the position function for a projectile if, rather than neglecting air resistance, we represent air resistance (R) as proportional to velocity (v). That is take R = -cv, some constant times velocity. What this leads to, rather then starting out with r"(t) = <0,-g> where g is a positive constant (related to gravity) and y-positive is up, is a somewhat more complicated force equation. For a freely falling body (or more safely perhaps a parachutist), if m stands for mass, a for acceleration, W for weight, then since net force F = ma equating forces yields ma = -W + R, taking the weight force to be in the negative direction and the air resistance force to be in the positive direction. This could be written as ma = -mg - cv. If k = c/m we get a = -g - kv. For a position function r(t) = <x(t),y(t)> this translates into the following: r"(t) = <-kx'(t),-g-ky'(t)> Starting with r"(t) above and using the same initial conditions as used in deriving the position function shown in Theorem 12.3 of your calculus text (Larson, Hostetler, Edwards, Eighth Edition), derive the position function, r(t). These initial conditions would be SUPER SUPER EC
Answers to problems 1-6 on an old Exam I Powerpoint presentation: Problems from an old Exam I There is an error in an integral calculation in Number 5. Click here for a correct solution.
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This site contains links to other Internet sites. These links are not endorsements of any products or services in such sites, and no information in such site has been endorsed or approved by this site. Lane Vosbury, Mathematics, Seminole State College email: vosburyl@seminolestate.edu This page was last updated on 08/21/14 Copyright 2002 webstats |