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research/math/podcast/slides/Hermite 多项式 - 风格预览.html
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<div id="tabbar">
<span class="brand">HERMITE · 风格预览</span>
<button class="on" data-deck="A">A · 深空学术</button>
<button data-deck="B">B · 黑曜极简</button>
<button data-deck="C">C · 暖纸学刊</button>
<span class="hint">每版＝封面 + 典型内容页（OU 衰减）｜选定后展开完整版</span>
</div>
<div id="wrap">
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<div class="deck show" data-deck="A">
<div class="pair">
<div class="frame left A">
<span class="flabel">封面</span>
<div class="glow"></div>
<div class="cov">
<div class="kic">SELF-SUPERVISED · 谱分解</div>
<div class="ttl">Hermite<br><em>多项式</em></div>
<div class="sub">高斯世界里的「频率分解」工具——配套播客讲解</div>
<div class="meta">EP.01 · 时长 7:43 · LeJEPA 理论基石</div>
</div>
</div>
<div class="frame A2">
<span class="flabel">内容页</span>
<h2>为什么<em>线性</em>成分最值钱</h2>
<div class="lead">OU 过程让相关性按阶数指数衰减</div>
<div class="body">
<div class="fbox">
$\mathbb{E}[He_n(z')\,He_n(z)] = \rho^{\,n} \cdot n!$
<div class="small">阶数越高 → 相关性掉得越快</div>
</div>
<div class="deca">
<div class="row"><span class="chip">1 阶</span><div class="bar" style="width:88%"></div></div>
<div class="row"><span class="chip">2 阶</span><div class="bar" style="width:48%"></div></div>
<div class="row"><span class="chip">3 阶</span><div class="bar" style="width:24%"></div></div>
<div class="row" style="font-size:24px;color:#9fb0ba;margin-top:30px;">最优解：只保留线性成分 → 线性可识别性</div>
</div>
</div>
</div>
</div>
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<div class="frame left B">
<span class="flabel" style="color:#fff">封面</span>
<div class="cov">
<div class="idx">He</div>
<div class="topline"><span>谱分解 / SPECTRAL</span><span class="rule"></span><span>EP.01</span></div>
<div class="big">埃尔米特<span>多项式</span></div>
<div class="foot">高斯世界里的频率分解工具 —— 配套播客讲解 · 7 分 43 秒</div>
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<div class="topline"><span>05 / OU 衰减</span><span class="rule"></span><span>ρⁿ</span></div>
<h2>为什么<b>线性</b>成分最值钱</h2>
<div class="body">
<div class="fbox">
$\mathbb{E}[He_n(z')\,He_n(z)] = \rho^{\,n} n!$
<div class="small">阶数越高 → 衰减越快</div>
</div>
<div class="deca">
<div class="row"><span class="num">ρ¹</span><div class="bar" style="width:90%"></div></div>
<div class="row"><span class="num">ρ²</span><div class="bar" style="width:46%"></div></div>
<div class="row"><span class="num">ρ³</span><div class="bar" style="width:22%"></div></div>
<div class="row" style="font-size:26px;color:#9a9a96;margin-top:28px;">→ 只留线性 = 线性可识别性</div>
</div>
</div>
</div>
</div>
</div>
<!-- ===================== 版 C ===================== -->
<div class="deck" data-deck="C">
<div class="pair">
<div class="frame left C">
<span class="flabel" style="color:#b25d3a">封面</span>
<div class="cov">
<div class="tag">SPECTRAL DECOMPOSITION · 第一讲</div>
<div class="ttl">Hermite <em>多项式</em></div>
<div class="sub">高斯世界里的「频率分解」工具<br>配套播客讲解 · 全长 7 分 43 秒</div>
<div class="seal">谱<br>分解</div>
<div class="ln"></div>
</div>
</div>
<div class="frame C2">
<span class="flabel" style="color:#b25d3a">内容页</span>
<div class="tag">05 · OU 过程与衰减</div>
<h2>为什么<em>线性</em>成分最值钱</h2>
<div class="body">
<div class="fbox">
$\mathbb{E}[He_n(z')\,He_n(z)] = \rho^{\,n}\, n!$
<div class="small">阶数越高，相关性指数衰减</div>
</div>
<div class="deca">
<div class="row"><span class="chip">ρ¹</span><div class="bar" style="width:90%"></div></div>
<div class="row"><span class="chip">ρ²</span><div class="bar" style="width:46%"></div></div>
<div class="row"><span class="chip">ρ³</span><div class="bar" style="width:22%"></div></div>
<div class="row" style="font-size:24px;color:#6b5640;margin-top:28px;">最优策略：只保留线性 → 线性可识别性</div>
</div>
</div>
</div>
</div>
</div>
</div>
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research/math/podcast/slides/Hermite 多项式.html
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<!DOCTYPE html>
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<!-- 1 封面 -->
<section class="slide active cover">
<div class="glow"></div>
<div class="kicker"><span class="ln"></span>SELF-SUPERVISED · 谱分解 · EP.01</div>
<h1 style="margin-top:34px;">Hermite<br><em>多项式</em></h1>
<p class="lead" style="margin-top:38px;">高斯世界里的「频率分解」工具<br>—— 配套播客讲解，从直觉到 LeJEPA 的理论基石</p>
<div class="meta">配套音频 7:43 · 双主播对话 · 数学不可怕，可怕的是没人陪你拆积木</div>
</section>
<!-- 2 动机 -->
<section class="slide posBL">
<div class="glow amber"></div>
<div class="kicker"><span class="ln"></span>01 · 动机</div>
<h2>我们需要一把<em>拆函数的刀</em></h2>
<div class="content">
<ul class="pts">
<li>LeJEPA 的证明要回答：编码器的表示里，<b>哪一部分</b>对「正样本对」的相关性贡献最大？</li>
<li>正样本对 = 同一内容的两个视角，模型希望它们的表示尽量像。</li>
<li>要回答这个问题，得先能把<b>任意函数拆成一块块</b>——就像傅里叶把声音拆成不同频率的波。</li>
<li>在高斯（钟形）分布下，这套「积木」就是 <b>Hermite 多项式</b>。</li>
</ul>
</div>
</section>
<!-- 3 傅里叶类比 -->
<section class="slide">
<div class="glow"></div>
<div class="kicker"><span class="ln"></span>02 · 类比</div>
<h2>傅里叶之于周期，<em>Hermite</em> 之于高斯</h2>
<div class="content">
<table class="cmp">
<tr><th>维度</th><th>傅里叶级数</th><th>Hermite 展开</th></tr>
<tr><td class="k">适用场景</td><td><span class="fr">周期函数</span></td><td><span class="he">高斯分布下的函数</span></td></tr>
<tr><td class="k">基函数</td><td><span class="fr">$\sin nx,\ \cos nx$</span></td><td><span class="he">$He_0,He_1,He_2,\dots$</span></td></tr>
<tr><td class="k">正交性</td><td><span class="fr">在区间上积分为 0</span></td><td><span class="he">在高斯期望下为 0</span></td></tr>
<tr><td class="k">完备性</td><td><span class="fr">任意周期函数可展开</span></td><td><span class="he">任意 $L^2(\gamma)$ 函数可展开</span></td></tr>
</table>
</div>
</section>
<!-- 4 定义与递推 -->
<section class="slide posCR">
<div class="glow"></div>
<div class="kicker"><span class="ln"></span>03 · 定义</div>
<h2>积木长什么样 & <em>递推</em>搭出来</h2>
<div class="content" style="gap:60px;">
<div class="fbox" style="flex:1;font-size:34px;line-height:2;">
$He_0=1,\quad He_1=z$<br>
$He_2=z^2-1$<br>
$He_3=z^3-3z$<br>
$He_4=z^4-6z^2+3$
</div>
<div style="flex:1;">
<div class="fbox" style="font-size:40px;">
$He_{n+1}(z)=z\,He_n(z)-n\,He_{n-1}(z)$
<div class="small">下一块 = z × 当前块 − 阶数 × 前一块</div>
</div>
<p class="lead" style="margin-top:30px;font-size:26px;">验证：$z\cdot z-1\cdot 1=z^2-1=He_2$ ✓</p>
</div>
</div>
</section>
<!-- 5 正交性 -->
<section class="slide">
<div class="glow amber"></div>
<div class="kicker"><span class="ln"></span>04 · 核心性质</div>
<h2>正交性：不同阶数<em>互不干扰</em></h2>
<div class="content" style="gap:60px;">
<div class="fbox" style="flex:1.1;font-size:34px;">
$\mathbb{E}\big[He_m(z)\,He_n(z)\big]=\begin{cases}n! & m=n\\[4pt]0 & m\neq n\end{cases}$
<div class="small">$z\sim\mathcal N(0,1)$，期望对钟形曲线取</div>
</div>
<div style="flex:1;">
<div class="card">
<div class="ct">最小例子验证</div>
<div class="cb" style="font-size:28px;line-height:1.8;">
$\mathbb{E}[He_1\cdot He_2]=\mathbb{E}[z^3-z]$<br>
高斯的奇数阶矩为 0 → $=0-0=0$ ✓
</div>
<div class="cf" style="font-size:26px;">就像不同频率的正弦波互相正交</div>
</div>
</div>
</div>
</section>
<!-- 6 完备性 -->
<section class="slide posBL">
<div class="glow"></div>
<div class="kicker"><span class="ln"></span>05 · 完备性</div>
<h2>任意函数都能<em>拆开重组</em></h2>
<div class="content" style="gap:60px;">
<div class="fbox" style="flex:1;font-size:36px;">
$h(z)=\sum_{d=0}^{\infty}c_d\,He_d(z)$
<div class="small">$c_d=\dfrac{\mathbb{E}[h(z)\,He_d(z)]}{d!}$</div>
</div>
<div style="flex:1;">
<p class="lead" style="font-size:30px;">只要 $\mathbb{E}[h(z)^2]<\infty$（有限能量），就能写成这些积木的<b style="color:var(--teal)">加权叠加</b>。</p>
<p class="lead" style="font-size:30px;margin-top:24px;">就像把一个向量沿正交坐标轴分解——每个轴上投影多少，系数 $c_d$ 就有多大。</p>
</div>
</div>
</section>
<!-- 7 OU 衰减 -->
<section class="slide posCR">
<div class="glow amber"></div>
<div class="kicker"><span class="ln"></span>06 · 关键转折</div>
<h2>OU 过程让相关性<em>按阶数指数衰减</em></h2>
<div class="content" style="gap:60px;">
<div class="fbox" style="flex:.95;font-size:34px;">
$\mathbb{E}[He_n(z')He_n(z)]=\rho^{\,n}\cdot n!$
<div class="small">$z'=\rho z+\sqrt{1-\rho^2}\,\eta,\quad 0<\rho<1$</div>
</div>
<div style="flex:1.05;">
<div class="barrow"><span class="chip">1 阶</span><div class="track"><i style="width:90%"></i></div><span class="val">ρ¹</span></div>
<div class="barrow"><span class="chip">2 阶</span><div class="track"><i style="width:50%"></i></div><span class="val">ρ²</span></div>
<div class="barrow"><span class="chip">3 阶</span><div class="track"><i style="width:26%"></i></div><span class="val">ρ³</span></div>
<p class="lead" style="font-size:26px;margin-top:18px;">阶数越高 → 相关性掉得越快 → 高阶非线性几乎被冲淡。</p>
</div>
</div>
</section>
<!-- 8 线性可识别性 -->
<section class="slide">
<div class="glow"></div>
<div class="kicker"><span class="ln"></span>07 · 结论</div>
<h2>最优解：<em>只保留线性成分</em></h2>
<div class="content">
<ul class="pts">
<li>对齐损失要<b>最大化</b>正样本对的相关性。</li>
<li>线性成分贡献 $\rho$；非线性成分贡献 $\rho^d<\rho\ (d\ge 2)$，被打了折扣。</li>
<li>于是最优策略就是：<b>留下线性，丢掉所有非线性</b>。</li>
<li>模型被这个机制温柔地逼成一个本质线性的表示 —— 这就是<b>线性可识别性</b>，整套定理的直觉来源。</li>
</ul>
</div>
</section>
<!-- 9 谱权重 -->
<section class="slide posBL">
<div class="glow amber"></div>
<div class="kicker"><span class="ln"></span>08 · 度量工具</div>
<h2>谱权重：一张<em>能量饼图</em></h2>
<div class="content">
<div class="pie" style="background:conic-gradient(var(--teal) 0 62%, var(--amber) 62% 84%, #4a6b74 84% 100%);"></div>
<div class="legend">
<div class="li"><span class="dot" style="background:var(--teal)"></span>线性 $w_1$ —— 我们想要的成分</div>
<div class="li"><span class="dot" style="background:var(--amber)"></span>二阶 $w_2$ —— 被 OU 衰减更多</div>
<div class="li"><span class="dot" style="background:#4a6b74"></span>更高阶 —— 衰减最狠</div>
<div class="li" style="font-size:24px;color:var(--ink2);margin-top:14px;font-family:'JetBrains Mono',monospace;">
$w_d\ge 0,\quad w_0=0,\quad \textstyle\sum w_d=1$</div>
<div class="li" style="font-size:25px;color:var(--ink2);">理想状态：整张饼都给线性那一块。</div>
</div>
</div>
</section>
<!-- 10 小结 -->
<section class="slide posCR">
<div class="glow"></div>
<div class="kicker"><span class="ln"></span>09 · 小结</div>
<h2>四句话<em>带走全场</em></h2>
<div class="content">
<div class="grid4">
<div class="g"><div class="n">01</div><div class="t">Hermite 是高斯世界的<b>频率分解工具</b>，类比傅里叶。</div></div>
<div class="g"><div class="n">02</div><div class="t"><b>正交性</b>让任意合理函数都能干净地拆成这些积木叠加。</div></div>
<div class="g"><div class="n">03</div><div class="t">OU 过程使相关性按 <b>ρᵈ</b> 指数衰减，高阶削减更狠。</div></div>
<div class="g"><div class="n">04</div><div class="t">最大化相关性 → 只留线性 → <b>线性可识别性</b>。</div></div>
</div>
</div>
</section>
<!-- 11 尾页 -->
<section class="slide cover posBL">
<div class="glow amber"></div>
<div class="kicker"><span class="ln"></span>下一站</div>
<h1 style="font-size:92px;margin-top:30px;">Mehler 公式<br><em>把直觉坐实</em></h1>
<p class="lead" style="margin-top:34px;font-size:30px;">下一讲深入 $\rho^d$ 衰减的来源 —— 它来自 OU 过程的转移核在 Hermite 基下的展开。</p>
<div class="meta">谢谢收听 · 配套音频 hermite_polynomials-podcast.mp3 · 我们下次见</div>
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