Title: Linear DE Theory
1Linear DE Theory
2Classifications
- by order
- by linearity
- by homongeous or non-homogeneous
3Examples of Differential Equations
4More examples
5Notes
6Focus on Linear DEs
- Lots of useful general theory exists for linear
DEs - very little for general non-linear DEs
- Many non-linear problems can be approximated by
linear DEs - For full non-linear problems, numerical solvers
used most in practice - some theoretical work on interesting classes of
problems
7Example
Show that the following two functions are
solutions
8Principle of Superposition
- If y1 and y2 are solutions to a homogeneous
linear DE, then any linear combination of y1 and
y2 is also a solution - true also for y1, yn for any linear DE
9In context of previous example
Knowing that two solutions are
other solutions could be
10Fundamental Set of Solutions
- For an n-th order linear, homogeneous DE,
- any set y1, y2, , yn of linearly independent
solutions on an interval I is called a
fundamental set of solutions - The general solution to such a DE is the general
lin. combination of that set
11Linear Independence
- A set of functions/vectors is linearly
independent if one cannot be written as a linear
combination of the others - Examples
12Further examples
13Back to Example
Knowing that two solutions are
all solutions will be of the form
14Mathematical goal Homogeneous DEs
- If we have a homogeneous linear DE, we want to
- find n linearly independent solutions (preferably
simplest possible) - create the general solution as a linear
combination of those solutions
15Non-homogeneous
The non-homogeneous part changes the solution.
We can find through experimentation that one
solution to this new DE is
16Nomenclature I
- We call yp -2x a particular solution for the
non-homogeneous DE - part of solution that is needed to satisfy
non-homogeneous part of the DE - We call yc c1/x c2 x4 the complementary
function, and it is the solution to the
corresponding homogeneous DE
17Mathematical goal Homogeneous DEs
- If we have a non-homogeneous linear DE, we want
to - find n linearly independent solutions to the
corresponding homogeneous DE, y1, y2, , yn - find a particular solution to the non-homogenous
DE, yp - create the general solution as
18Check for example
19Modeling Example Spring/Mass System
- Mass attached to a spring, with drag and external
force applied - Goal predict (quantitatively) the position of
mass over time
20Diagram
21Newton's 2nd Law
22Continued
23Theory in Practice
- DE is linear, so
- There will be 2 linearly independent solutions to
the homogeneous form of DE - There will be a particular solution, yp,
- All possible motions of the spring will be
predicted by the combination of these
mathematical formulas
24Reading