<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Compact-Operators on Chen Kai Blog</title><link>https://www.chenk.top/en/tags/compact-operators/</link><description>Recent content in Compact-Operators on Chen Kai Blog</description><generator>Hugo</generator><language>en</language><lastBuildDate>Wed, 13 Oct 2021 09:00:00 +0000</lastBuildDate><atom:link href="https://www.chenk.top/en/tags/compact-operators/index.xml" rel="self" type="application/rss+xml"/><item><title>Functional Analysis (7): Compact Operators — The Bridge to Finite Dimensions</title><link>https://www.chenk.top/en/functional-analysis/07-compact-operators/</link><pubDate>Wed, 13 Oct 2021 09:00:00 +0000</pubDate><guid>https://www.chenk.top/en/functional-analysis/07-compact-operators/</guid><description>&lt;p>I owe my fondness for compact operators to a small embarrassment. As an undergraduate I assumed that infinite-dimensional linear algebra would feel exotic everywhere. It does not. There is a wide and well-mapped suburb of operator theory in which everything one learned about symmetric matrices &amp;ndash; eigenvalues, orthogonal eigenvectors, the spectral decomposition &amp;ndash; comes back almost unchanged, just with eigenvalues tailing off to zero instead of a finite list. That suburb is the world of compact operators, and the price of admission is a single condition: the operator must squeeze the unit ball into a relatively compact set. Once that condition is met, nearly everything follows: the spectrum is countable, nonzero eigenvalues are isolated with finite-dimensional eigenspaces, the Fredholm alternative holds, and integral equations of the second kind become as tractable as linear systems. The line between matrices and infinite-dimensional operators ceases to be a wall and becomes a permeable membrane.&lt;/p></description></item></channel></rss>