Math 2250 - 002 Fall 2011 Midterm #1 Review

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Math 2250 - 002

Midterm #1 Review

Chapter 1:

- Verify the solution of an ODE

- Use integration to solve an ODE of the form

- Given an object's acceleration, initial velocity and initial position, find it's velocity and position at any time.

- Find the general solution of a separable ODE using the separation of variables technique.

- Use an initial condition to solve for C.

- Determine whether or not a solution to an IVP exists, and, if so, whether or not it is unique.

- Determine specifically what initial conditions will guarantee that an IVP has a unique solution.

- Use the integrating factor technique to solve a first-order linear IVP.

- Derive the equations for a mixture problem to answer questions about concentration, volume and pounds of solute in a tank over time.

Fall 2011

9/29/11

Chapter 2:

- Determine the carrying capacity of a population and its base growth rate given a logistic growth equation.

- Derive a logistic growth equation given certain information about a population.

- Solve the logistic growth equation to answer questions about a population at a given time.

[this will involve partial fraction decomposition]

- Find all critical points and equilibrium solutions of an ODE.

- Draw a phase diagram for the critical points of an ODE and use it to determine which critical points are stable and unstable.

- Use Euler's method to approximate the solution to an IVP for a given step size [I won't ask you to do more than two steps on a test].

- Assuming the IVP is solvable, calculate the relative error in your approximation using

Euler's method.

- Explain why the Runge-Kutta method is better than Euler's method in terms of accuracy.

Math 2250 - 002

Midterm #1 Review

Chapter 3:

- Use the elimination method to solve a system of linear equations.

- Determine whether a system of linear equations has one solution, no solutions, or infinitely many solutions.

- Write a linear system of equations as an augmented matrix.

- Understand how to do the three types of elementary row operations and the proper notation for each type.

- Use Gaussian elimination to convert an augmented matrix into an echelon matrix.

- Use Gauss-Jordan elimination to convert an augmented matrix into a reduced echelon matrix.

- Use a reduced echelon matrix to determine whether a linear system has one solution, no solutions, or infinitely many solutions.

- Use a reduced echelon matrix to identify the free variables of the system and express all possible solutions to the system using one or more parameters.

- Addition, subtraction and scalar multiplication of matrices matrices

- Multiply two matrices.

- Find the determinant of a matrix

- Find the inverse of a matrix

Fall 2011

9/29/11

Practice Problems:

Note: I would suggest trying out at least one of each type of problem. If you need the additional practice then work through additional examples of the same problem type.

Section 1.1: 1 - 10, 17 - 26

Section 1.2: 1 - 4, 11 - 15

Section 1.3: 11 - 20

Section 1.4: 1 - 18, 19 - 28, 45 - 50

Section 1.5: 1 - 20, 35 - 37

Section 2.1: 1 - 8, 15 - 20

Section 2.2: 1 - 12, 13 - 18

Section 2.4: 1 - 6

Section 3.1: 1 - 8

Section 3.2: 11 - 16

Section 3.3: 1 - 6

Section 3.4: 1 - 4, 5 - 12

Section 3.5: 1 - 8

Section 3.6: 1 - 6

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