<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Kernel on gdpark.blog</title><link>https://gdpark.blog/tags/kernel/</link><description>Recent content in Kernel on gdpark.blog</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sun, 31 Jan 2016 00:00:00 +0000</lastBuildDate><atom:link href="https://gdpark.blog/tags/kernel/index.xml" rel="self" type="application/rss+xml"/><item><title>Kernel and Image [Linear Algebra I Studied #6]</title><link>https://gdpark.blog/posts/linear-algebra-06-kernel-and-image/</link><pubDate>Thu, 21 Jan 2016 00:00:00 +0000</pubDate><guid>https://gdpark.blog/posts/linear-algebra-06-kernel-and-image/</guid><description>We nail down the kernel and image of a linear map, see what injective and surjective really mean, and lock in the theorem that links them all!!!!</description></item><item><title>Isomorphism and the Dimension Theorem [Linear Algebra I Studied #7]</title><link>https://gdpark.blog/posts/linear-algebra-07-isomorphism-and-the-dimension-theorem/</link><pubDate>Thu, 21 Jan 2016 00:00:00 +0000</pubDate><guid>https://gdpark.blog/posts/linear-algebra-07-isomorphism-and-the-dimension-theorem/</guid><description>Kernel and image lead us to isomorphism — two vector spaces with the same dimension and a bijective map between them are literally just the same space in disguise!!!!</description></item><item><title>Elementary Row Operation Matrices (EROM) [Linear Algebra I Studied #10]</title><link>https://gdpark.blog/posts/linear-algebra-10-elementary-row-operation-matrices-erom/</link><pubDate>Sat, 23 Jan 2016 00:00:00 +0000</pubDate><guid>https://gdpark.blog/posts/linear-algebra-10-elementary-row-operation-matrices-erom/</guid><description>Back at it with the general solution of AX = B — recapping RREF, breaking down dependent vs. independent variables, and chasing down X_0 and ker A.</description></item><item><title>The First Decomposition Theorem [Linear Algebra I Studied #20]</title><link>https://gdpark.blog/posts/linear-algebra-20-the-first-decomposition-theorem/</link><pubDate>Sun, 31 Jan 2016 00:00:00 +0000</pubDate><guid>https://gdpark.blog/posts/linear-algebra-20-the-first-decomposition-theorem/</guid><description>We revisit diagonalization up close — eigenvalues, kernels, and how a 2D space splits into two 1D invariant subspaces — as a warm-up for the full Decomposition Theorem.</description></item></channel></rss>