<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Inner Product on Chen Kai Blog</title><link>https://www.chenk.top/en/tags/inner-product/</link><description>Recent content in Inner Product on Chen Kai Blog</description><generator>Hugo</generator><language>en</language><lastBuildDate>Wed, 01 Jan 2025 09:00:00 +0000</lastBuildDate><atom:link href="https://www.chenk.top/en/tags/inner-product/index.xml" rel="self" type="application/rss+xml"/><item><title>Essence of Linear Algebra (1): The Essence of Vectors — More Than Just Arrows</title><link>https://www.chenk.top/en/linear-algebra/01-the-essence-of-vectors/</link><pubDate>Wed, 01 Jan 2025 09:00:00 +0000</pubDate><guid>https://www.chenk.top/en/linear-algebra/01-the-essence-of-vectors/</guid><description>&lt;p>&lt;figure class="article-figure">
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&lt;h2 id="why-vectors-and-why-care" class="heading-anchor">Why Vectors, and Why Care?&lt;a href="#why-vectors-and-why-care" class="heading-link" aria-label="Permalink to this section" title="Copy link to this section">#&lt;/a>
&lt;/h2>&lt;p>A physicist talks about a &lt;em>force&lt;/em>. A data scientist talks about a &lt;em>feature&lt;/em>. A game programmer talks about a &lt;em>velocity&lt;/em>. A quantum theorist talks about a &lt;em>state&lt;/em>. Different fields, different terms — but the same underlying object: &lt;strong>a vector&lt;/strong>.&lt;/p>
&lt;p>That&amp;rsquo;s no coincidence. A vector is the simplest mathematical object flexible enough to describe &lt;strong>anything you can add together and scale&lt;/strong>. Once you see this pattern, you&amp;rsquo;ll see it everywhere.&lt;/p></description></item><item><title>Functional Analysis (3): Hilbert Spaces — Geometry in Infinite Dimensions</title><link>https://www.chenk.top/en/functional-analysis/03-hilbert-spaces/</link><pubDate>Tue, 05 Oct 2021 09:00:00 +0000</pubDate><guid>https://www.chenk.top/en/functional-analysis/03-hilbert-spaces/</guid><description>&lt;h2 id="inner-products-and-the-geometry-they-create" class="heading-anchor">Inner Products and the Geometry They Create&lt;a href="#inner-products-and-the-geometry-they-create" class="heading-link" aria-label="Permalink to this section" title="Copy link to this section">#&lt;/a>
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 &lt;img src="https://blog-pic-ck.oss-cn-beijing.aliyuncs.com/posts/en/functional-analysis/figures/03_inner_product.png" alt="Inner product geometry: angle and projection" loading="lazy" decoding="async" class="content-image">
 
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&lt;p>If a Banach space is a normed space that has agreed to be complete, a Hilbert space is a Banach space that has further agreed to admit angles. That extra agreement — an inner product — is what restores almost all of finite-dimensional geometry to the infinite-dimensional setting. Orthogonality, projection, the Pythagorean theorem, the notion of &amp;ldquo;closest point in a subspace&amp;rdquo; — all come back unchanged. The price of admission is a single axiom; the reward, geometric and computational, is enormous.&lt;/p></description></item></channel></rss>