Entering a Differential Equations

In summary, if you are entering a differential equations course for the first time, it may be helpful to review concepts such as partial fractions, complex numbers, integrals, and linear algebra. However, for an introductory course, linear algebra may not be necessary as it can be introduced as needed. Some helpful concepts to know include eigenvalues, solving linear equations, matrices, and linear operators. In terms of notation, derivatives and linear equations can be written in matrix form. Overall, while these concepts may seem daunting at first, they can actually make solving differential equations easier.
  • #1
dpsciarrino
8
0
I'm entering a differential equations course this coming semester. Is there anything I should review in the coming weeks?
 
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  • #2
Courses vary. You could review partial fractions, complex numbers, integrals, linear algebra, and differential equations. Is this a first course? A second course?
 
  • #3
lurflurf said:
Courses vary. You could review partial fractions, complex numbers, integrals, linear algebra, and differential equations. Is this a first course? A second course?

This is a first course. That list is a bit intimidating since I haven't had a lick of linear algebra. haha
 
  • #4
Well then you should be safe from "As you recall from linear algebra.."
A little bit of linear algebra is helpful in differential equations, but it can be introduced as needed. You might want to know what an eigenvalue is, how to solve linear equations, what a matrix is, and what a linear operator is. The derivative is a linear operator so
D(a u+b v)=a Du+b Dv
which is helpful at times.
We write a linear equation such as
$${\begin{array}{cc}
a x+b y=u \\
c x+d y=v \\
\end{array} } \\
\text{in matrix form as} \\
\left( {\begin{array}{cc}
a & b \\
c & d \\
\end{array} } \right) \left( {\begin{array}{cc}
x \\
y \\
\end{array} }\right)
\left( \begin{array}{cc} u \\ v \end{array} \right)$$
D cos(x)=-sin(x)
D sin(x)=cos(x)
which we might like to write in matrix form as
$$\mathrm{D} \left( \begin{array}{cc} \cos(x) \\ \sin(x) \end{array} \right) = \left( {\begin{array}{cc}
0 & -1 \\
1 & 0 \\
\end{array} } \right) \left( {\begin{array}{cc}
\cos(x) \\
\sin(x) \\
\end{array} }\right)$$

You might believe at first that such notions and notations make things harder but they make them easier.
 
  • #5
This is a first course. That list is a bit intimidating since I haven't had a lick of linear algebra. haha

For an introductory course in differential equations I wouldn't worry about reviewing linear algebra. If you get to systems of ODES (where linear algebra is used) they'll review/introduce the necessary ideas. However this often doesn't come up until a 2nd course in differential equations.
 

1. What is the purpose of entering a differential equation?

The purpose of entering a differential equation is to model and solve complex mathematical problems that involve rates of change. Differential equations are used to describe many natural phenomena in fields such as physics, engineering, and economics.

2. What are the basic components of a differential equation?

A differential equation consists of a dependent variable, an independent variable, and the rate of change of the dependent variable with respect to the independent variable. It can also include constants and coefficients that affect the behavior of the equation.

3. How do you solve a differential equation?

The method for solving a differential equation depends on its type and complexity. Some basic techniques include separation of variables, substitution, and integrating factors. More advanced methods include Laplace transforms and numerical methods.

4. What are the applications of differential equations?

Differential equations have a wide range of applications in various fields of science and engineering. They are used to model and analyze physical systems, predict population growth, understand the behavior of financial markets, and much more.

5. Can differential equations be solved analytically or numerically?

Yes, differential equations can be solved both analytically and numerically. Analytical solutions involve finding a general expression for the solution, while numerical solutions involve using computational methods to approximate the solution. The choice of method depends on the complexity and nature of the problem.

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