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		<title>Bifurcations: a first glance
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		<dc:date>2016-06-08T12:52:22Z</dc:date>
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&lt;p&gt;We've just seen that solutions of one-dimensional systems behave rather trivially. But dependence on parameters adds spice because qualitative changes in the behavior of solutions can occur. These changes are called bifurcations. &lt;br class='autobr' /&gt;
This chapter aims at introducing a few examples and not developing the full theory. We'll explore additional types of bifurcations when we step up to two- and three-dimensional systems. &lt;br class='autobr' /&gt;
The basic setting is a one-dimensional differential equation (&#8230;)&lt;/p&gt;


-
&lt;a href="https://generative-ebooks.com/ebooks/-Part-I-One-dimensional-systems-flows-on-the-line-.html" rel="directory"&gt;Part I : One-dimensional systems: flows on the real line
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		<title>Interlude: Impossibility of periodic oscillations
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		<dc:date>2016-06-08T12:51:48Z</dc:date>
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&lt;p&gt;Being constrained to move on the real line forces solutions to increase or decrease monotonically, or remain constant (fixed point). More precisely, non-constant solutions either approach a fixed point, or diverge to $\pm\infty$ monotonically. To state it more geometrically, a particle flowing on the real line according to $\dotx=f(x)$ never reverses direction. Hence there are no periodic solutions to such equations. &lt;br class='autobr' /&gt;
Let's prove analytically the absence of periodic solutions. Suppose on (&#8230;)&lt;/p&gt;


-
&lt;a href="https://generative-ebooks.com/ebooks/-Part-I-One-dimensional-systems-flows-on-the-line-.html" rel="directory"&gt;Part I : One-dimensional systems: flows on the real line
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		<title>Fixed points &amp; their stability
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		<dc:date>2016-06-08T12:51:19Z</dc:date>
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&lt;p&gt;For an equation $\dotx=f(x)$, recall that a fixed point $\barx$ is a point such that $f(\barx)=0$; it corresponds to a constant or stationary solution $x(t)=\barx$ that is obviously defined for all $t\in\mathbbR$. &lt;br class='autobr' /&gt;
Consider again the logistic equation $\dotx=bx-dx^2$ for $x\geq 0$; it has two fixed points, namely $0$ and $b/d$. Intuitively, $0$ is an unstable fixed point since it &#8216;repulses' solutions that start from $x_0\in (0,b/d)$, while $b/d$ is a stable fixed point since it &#8216;attracts' (&#8230;)&lt;/p&gt;


-
&lt;a href="https://generative-ebooks.com/ebooks/-Part-I-One-dimensional-systems-flows-on-the-line-.html" rel="directory"&gt;Part I : One-dimensional systems: flows on the real line
&lt;/a&gt;


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		<title>Existence, uniqueness and lifetime of solutions
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		<dc:date>2016-06-08T12:50:50Z</dc:date>
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&lt;p&gt;If we are given a system $\dotx=f(x)$ and an initial state $x_0$, does there exist a solution $x(t)$ to this equation such that $x(0)=x_0$? It turns out that if $f$ is a continuous function, then existence is guaranteed. The example $$ f(x)= \begincases 1 &amp; \textif\quad x&lt; 0\ 1 &amp; \textif\quad x\geq 0 \endcases $$ shows that when $f$ is discontinuous, things can go wrong: there is no solution that satisfies $x(0)=0$. &lt;br class='autobr' /&gt;
The next natural question is about uniqueness. What can go (&#8230;)&lt;/p&gt;


-
&lt;a href="https://generative-ebooks.com/ebooks/-Part-I-One-dimensional-systems-flows-on-the-line-.html" rel="directory"&gt;Part I : One-dimensional systems: flows on the real line
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		<title>Prelude: graphical study of one-dimensional differential equations
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&lt;p&gt;The graphical study of the logistic equation we did in a previous chapter paves the way for the general case. For if $\dotx=f(x)$, plot $\dotx$ versus $x$, that is, the graph of $f$. Intersection points with the $x$-axis are fixed points. Between two fixed points, the graph is either over or under the $x$-axis: in the former case $\dotx&gt;0$, which means that $x(t)$ increases and can be represented by drawing arrows on the $x$-axis that point to the right; in the latter case $\dotx&#8216;Allee (&#8230;)&lt;/p&gt;


-
&lt;a href="https://generative-ebooks.com/ebooks/-Part-I-One-dimensional-systems-flows-on-the-line-.html" rel="directory"&gt;Part I : One-dimensional systems: flows on the real line
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