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The Computable Differential Equation Lecture ... - Bruce E. Shapiro

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CHAPTER 1. CLASSIFYING THE PROBLEM 9<br />

Solution. Finding a “solution” is easy enough. We can separate the variables and<br />

integrate. It is easily verified (by direct substitution) that<br />

(<br />

y = 2 sin t + π )<br />

(1.34)<br />

2<br />

satisfies both the differential equation and the initial condition, hence it is a solution.<br />

It is also easily verified that y = 2 is a solution, as are functions of the form<br />

⎧<br />

⎪⎨ 2 sin ( t + π )<br />

2<br />

t < 0<br />

y = 2 0 ≤ t ≤ φ<br />

⎪⎩<br />

2 sin ( t + π 2 − φ) t > φ<br />

(1.35)<br />

for any positive real number φ. See Figure 1.6.<br />

Figure 1.6: <strong>The</strong>re are several solutions to y ′ = √ 4 − y 2 that pass through the point<br />

(0, 2). See Example 1.4<br />

Since the solution is not unique, any condition that guarantees existence must be<br />

violated. We have two such conditions: the boundedness of the partial derivative,<br />

and the Lipshitz condition. <strong>The</strong> first implies the second, and the second implies<br />

uniqueness. By<br />

∂f<br />

∂y =<br />

−y<br />

√<br />

4 − y 2<br />

(1.36)<br />

which is unbounded at y = 2. So the first condition is violated. Of course, a violation<br />

of the condition does not ensure non-uniqueness, all it tells us is that uniqueness<br />

is not ensured.<br />

What about the Lipshitz condition? Suppose that the function f(x) = √ (4−y 2 )<br />

is Lipshitz with Lipshitz constant K > 0 on some domain D. <strong>The</strong>n for any y 1 , y 2 in<br />

c○2007, B.E.<strong>Shapiro</strong><br />

Last revised: May 23, 2007<br />

Math 582B, Spring 2007<br />

California State University Northridge

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