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'''<big><big><big> 2.1 Concept <big><big><big>'''
 
'''<big><big><big> 2.1 Concept <big><big><big>'''
  
<font size="3px">From the example from 1.1, here we still suppose that we had a linear equation <math>ax+b=0</math> with respect to <math>x</math>.
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<font size="3px">From the first example from 1.1, here we still suppose that we had a linear equation <math>ax+b=0</math> with respect to <math>x</math>.
  
 
'''&#183;''' When <math>a=0</math>, <math>b≠0</math>, there is no solution.
 
'''&#183;''' When <math>a=0</math>, <math>b≠0</math>, there is no solution.
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'''&#183;''' When <math>a≠0</math>, there is one solution <math>x=-\frac{b}{a}</math>.
 
'''&#183;''' When <math>a≠0</math>, there is one solution <math>x=-\frac{b}{a}</math>.
  
'''&#183;''' When <math>a=b=0</math>, there are infinitely many solutions to this linear equation. </font>
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'''&#183;''' When <math>a=b=0</math>, there are infinitely many solutions to this linear equation.
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 +
Similarly, an ODE may also have no solution, a unique solution or infinitely many solutions.</font>

Revision as of 17:00, 16 October 2017

The Existence and Uniqueness Theorem for Solutions to ODEs

A slecture by Yijia Wen

2.0 Abstract

Before starting this tutorial, you are supposed to be able to:

· Find an explicit solution for $ \frac{dy}{dt}=f(t) $. This is the same thing as finding the integral of $ f(t) $ with respect to $ t $.

· Know the difference between general solution and a solution satisfying the initial conditions.

· Check one function is a solution to an ODE.

· Distinguish ODE and PDE, know the usual notations.

· Know the basic concepts of ODEs (order, linearity, homogeneity, etc).




2.1 Concept

From the first example from 1.1, here we still suppose that we had a linear equation $ ax+b=0 $ with respect to $ x $.

· When $ a=0 $, $ b≠0 $, there is no solution.

· When $ a≠0 $, there is one solution $ x=-\frac{b}{a} $.

· When $ a=b=0 $, there are infinitely many solutions to this linear equation.

Similarly, an ODE may also have no solution, a unique solution or infinitely many solutions.

Alumni Liaison

Correspondence Chess Grandmaster and Purdue Alumni

Prof. Dan Fleetwood