<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Linear Systems on Chen Kai Blog</title><link>https://www.chenk.top/en/tags/linear-systems/</link><description>Recent content in Linear Systems on Chen Kai Blog</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sun, 24 Sep 2023 09:00:00 +0000</lastBuildDate><atom:link href="https://www.chenk.top/en/tags/linear-systems/index.xml" rel="self" type="application/rss+xml"/><item><title>Ordinary Differential Equations (6): Linear Systems and the Matrix Exponential</title><link>https://www.chenk.top/en/ode/06-power-series/</link><pubDate>Sun, 24 Sep 2023 09:00:00 +0000</pubDate><guid>https://www.chenk.top/en/ode/06-power-series/</guid><description>&lt;p>&lt;strong>One equation describes one quantity. The world is rarely that obliging.&lt;/strong> Predator and prey populations push each other up and down. Currents and voltages in an RLC network oscillate together. Chemical species in a reaction network feed into one another. The moment two unknowns share an equation, you have a &lt;em>system&lt;/em>, and a single &lt;span class="math-inline">$y&amp;#39;=ay$&lt;/span>
 is no longer enough.&lt;/p>
&lt;p>The miracle of the linear case is this: the scalar formula &lt;span class="math-inline">$y(t)=e^{at}y_0$&lt;/span>
 generalizes verbatim once you learn what &lt;span class="math-inline">$e^{At}$&lt;/span>
 means for a &lt;em>matrix&lt;/em> &lt;span class="math-inline">$A$&lt;/span>
. Linear algebra and ODEs fuse into one object — the matrix exponential — and its eigenstructure tells you everything about the long-term behavior, the geometry of the flow, and the physics of normal modes and beats.&lt;/p></description></item></channel></rss>