李永乐老师
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如何真正理解时空的弯曲?彻底撕碎“时空漏斗”骗局!从张量到度规,一步步揭开引力的真相!!
李永乐老师· 2026-03-30 09:30
简介: 你肯定在无数科普视频里见过那个“漏斗”一样的引力井,他们用它来解释大质量天体的“空间凹陷”。 但是,今天我想告诉你一个残酷的真相:几乎所有人对这张图的理解,都是错的。在这期视频里,我将带你完成一次从直觉到真理的跨越。我们将从高中数学出发,一路打怪升级,带你认识广义相对论的核心工具——张量和度规,最终一步一步地亲手推导并模拟出真正的时空嵌入图(弗拉姆抛物面)。 本期视频硬核解答了以下问题: - 什么是广义相对论的核心思想? - 为什么引力不是力,而是时空的几何属性? - 黑洞里面是什么样子?时间真的会变成空间吗? - 普通人到底该如何理解时空弯曲? - 为什么说绝大多数科普视频里的引力漏斗解释是错的? 00:00 引力井 00:35 张量 02:04 度规 09:13 史瓦西度规 10:22 广义相对论场方程 12:25 g_{rr}空间夺舍 13:55 g_{tt}时空翻转 15:41 时空嵌入图 17:30 弗拉姆抛物面 Tag: #时空弯曲, 史瓦西度规, 爱因斯坦场方程, 张量, 度规, 弗拉姆抛物面, 引力井, 黑洞视界, 闵可夫斯基时空, General Relativity, Spacet ...
我用物理公式"造"了一个黑洞,结果和NASA拍的一模一样!
李永乐老师· 2026-02-15 09:30
从牛顿经典物体运动出发,深入广义相对论的光线弯曲原理,再通过光线追踪技术,在Blender中实现了完整的黑洞模拟——引力透镜、爱因斯坦环、光子球阴影、多普勒效应、引力红移,一个不落。最终渲染出的黑洞图像与M87*真实照片(Event Horizon Telescope拍摄)高度吻合,甚至还原了吸积盘的不对称亮度分布。这不是巧合,这是广义相对论的胜利。 章节时间轴: 00:00 开场 — 为什么要手搓黑洞 00:27 等效原理 — 光线为什么会弯曲 04:47 测地线和度规 — 时空的测量尺 07:45 史瓦西度规 — 黑洞的数学描述 12:21 光线偏折 — 广义相对论的核心公式 17:26 光线追踪 — 从理论到渲染 19:46 黑洞模拟 — Blender实现全流程 21:03 爱因斯坦环 — 引力透镜的震撼效果 23:35 黑洞吸积盘 — 最具美感的黑洞 26:58 多普勒效应 — 吸积盘的不对称亮度 27:39 引力红移 — 黑洞阴影的成因 28:05 对比M87 — 模拟vs真实照片 29:15 结尾 — 我们看到的不是黑洞本身 使用的工具与技术: • Blender(几何节点) • 广义相对论(爱 ...
为什么人类被“锁定”在了三维?从0维到4维:用数学推导重建你的"四维之眼" #四维空间 #超立方体 #tesseract #星际穿越 #可视化
李永乐老师· 2025-12-31 10:29
If one day, right before your eyes, an irregular geometric shape appeared out of thin air, like a living monster, madly twisting and deforming. One second it's a sharp pyramid, the next it becomes a complex octahedron. Finally, it twists and vanishes into thin air.Don't be quick to call this an illusion, because it very likely means a four-dimensional hypercube is passing through our three-dimensional world. What we see is merely the trace it leaves in the lower-dimensional world. It's not that we can't see ...
【4k 硬核科普】130万 vs 96万:多少个地球能填满太阳?引出一个人类400年的难题!
李永乐老师· 2025-11-17 09:30
Core Argument - The video explores how many Earths can fit inside the Sun, initially calculating based on volume ratio (approximately 1300000) and then adjusting for sphere packing efficiency (approximately 960000) [1] - It delves into the mathematical problem of sphere packing, specifically the Kepler Conjecture, and its relevance to the initial question [1][2][3] Mathematical Concepts - The volume of a sphere is proportional to the cube of its radius (V=4πr³/3), leading to the initial volume ratio calculation [1] - The densest packing of spheres in 3D space utilizes approximately 74% of the space, a concept related to the Kepler Conjecture [1][2] - The Kepler Conjecture, concerning the densest packing of spheres, was proven using computer-assisted methods after centuries of attempts [1][2][3] Sphere Packing - Two common densest packing arrangements are Hexagonal Close Packing (HCP) and Face-Centered Cubic (FCC), both achieving approximately 7405% space utilization [2] - The video explains how to calculate the packing density within a Face-Centered Cubic (FCC) crystal lattice, arriving at approximately 74048% [2] - Boundary effects become significant in small containers or when the sphere radius is large, invalidating the 74% packing efficiency assumption [2][3] Higher Dimensions - Sphere packing efficiency decreases drastically as the number of dimensions increases, a phenomenon known as the "curse of dimensionality" [3] - Understanding high-dimensional spaces involves techniques like projection and "slicing" to visualize and analyze sphere packing [3]
沉浸式体验:三体运动轨迹之美【4k纯享版】
李永乐老师· 2025-11-03 09:39
This installment of the video was thought to be done quickly But in the process of making it, we encountered problems one after another I've been through a lot. At first, I was rendering the three-body trajectory directly in Blender. But the computer just can't render it.And the preview screen gets stuck for half a day To speed up the rendering, I'll just use Python locally. First, we'll save the trajectory data of the three bodies for it. Then read it to Blender.But then, a new problem arises. The direct r ...
宇宙有多大?人类就有多渺小!所以,请认真过好每一个平凡的今天。
李永乐老师· 2025-10-11 10:01
不好意思,各位!这个视频做太久了,导致更新慢了。 本视频建议全屏观看,效果更佳! 另外,本来视频不想加字幕的,怕影响体验。但是介于本人普通话口音太重,考虑再三还是加了字幕,尴尬…… 视频章节: 00:00 宇宙有多大? 00:32 离开地球 01:16 月球 02:10 太阳系 04:10 比邻星 04:20 半人马座alpha 04:33 银河系 06:58 本地泡 08:25 仙女座星系 09:04 本星系群 09:37 室女座超星系团 10:08 拉尼亚凯亚超星系团 11:17 巨引源 11:54 夏普利超星系团 12:13 宇宙网 13:18 宇宙空洞 14:00 暗物质和暗能量 14:56 可观测宇宙 17:42 宇宙的形态 ...
什么是蝴蝶效应?竟藏着人生的“天道”
李永乐老师· 2025-09-20 09:30
章节: 00:00 什么是蝴蝶效应 01:34 科学决定论 02:33 哈雷彗星的发现 02:52 海王星的发现 04:32 掷骰子的上帝 04:43 拉普拉斯妖 05:18 洛伦兹大气模拟实验 07:16 确定性非周期流 08:11 洛伦兹吸引子 10:27 天气不可长期预测 11:04 混沌理论 11:40 科学决定论vs混沌理论 13:04 对蝴蝶效应的误解 14:19 感悟人生“天道” ...
关于一些说明……
李永乐老师· 2025-09-11 09:15
Given the provided content "No content yet!", it's impossible to summarize any viewpoints or logic, or extract any data points for analysis and conversion Therefore, a meaningful summary cannot be generated
为什么说人类去火星【有去无回】?火星“骗”了人类400年!
李永乐老师· 2025-09-11 09:15
Overview of Mars - The report discusses the discovery process of Mars [1] - It also covers the parameters of Mars [1] Martian Features - The report highlights the Olympus Mons (奥林帕斯山) [1] - It also highlights the Valles Marineris (水手谷) [1] Space Exploration - The report mentions the possibility of life on Mars [1] - It also mentions the possibility of humans going to Mars, referencing the Mars One project (火星一号计划) [1] - The report touches upon the challenges of a one-way trip to Mars for humans [1] - It also mentions the Tsiolkovsky rocket equation (齐奥尔科夫斯基火箭方程) [1]