{"id":19737,"date":"2024-03-18T18:22:01","date_gmt":"2024-03-18T17:22:01","guid":{"rendered":"https:\/\/djalil.chafai.net\/blog\/?p=19737"},"modified":"2025-04-27T08:24:52","modified_gmt":"2025-04-27T06:24:52","slug":"archimedes-theorem-sphere-cylinder","status":"publish","type":"post","link":"https:\/\/djalil.chafai.net\/blog\/2024\/03\/18\/archimedes-theorem-sphere-cylinder\/","title":{"rendered":"Archimedes theorem on sphere and cylinder"},"content":{"rendered":"<figure id=\"attachment_19739\" aria-describedby=\"caption-attachment-19739\" style=\"width: 297px\" class=\"wp-caption aligncenter\"><a href=\"http:\/\/djalil.chafai.net\/blog\/wp-content\/uploads\/2024\/03\/FieldsMedalFront.png\"><img loading=\"lazy\" class=\"wp-image-19739 size-medium\" src=\"http:\/\/djalil.chafai.net\/blog\/wp-content\/uploads\/2024\/03\/FieldsMedalFront-297x300.png\" alt=\"\" width=\"297\" height=\"300\" srcset=\"https:\/\/djalil.chafai.net\/blog\/wp-content\/uploads\/2024\/03\/FieldsMedalFront-297x300.png 297w, https:\/\/djalil.chafai.net\/blog\/wp-content\/uploads\/2024\/03\/FieldsMedalFront-80x80.png 80w, https:\/\/djalil.chafai.net\/blog\/wp-content\/uploads\/2024\/03\/FieldsMedalFront.png 594w\" sizes=\"(max-width: 297px) 100vw, 297px\" \/><\/a><figcaption id=\"caption-attachment-19739\" class=\"wp-caption-text\">The Fields Medal and its portrait of Archimedes.<\/figcaption><\/figure>\n<p style=\"text-align: justify;\"><strong>Archimedes theorem.<\/strong> Archimedes (\u1f08\u03c1\u03c7\u03b9\u03bc\u03ae\u03b4\u03b7\u03c2) of Syracuse (-287 - -212) is one of the greatest minds of all times. One of his discoveries is as follows : if we place a sphere in the tightest cylinder, then the surface of the sphere and of the cylinder are the same, and more generally, if we cut the whole in two pieces by any perpendicular horizontal plane, then this remains for each pieces : the surface of the spherical cap is equal to the surface of the corresponding slice of cylinder. Archimedes was so proud of it that he asked to put the picture of it on his tombstone. This allowed his admirer Marcus Tullius Cicero (-106 \u2013 -43) to identify the tomb, in -75, almost 150 years after the murder of Archimedes by a Roman soldier during the siege of Syracuse.<\/p>\n<p><a href=\"https:\/\/commons.wikimedia.org\/wiki\/File:Esfera_Arqu%C3%ADmedes.svg\"><img loading=\"lazy\" class=\"aligncenter wp-image-19868 size-medium\" src=\"http:\/\/djalil.chafai.net\/blog\/wp-content\/uploads\/2024\/03\/Esfera_Arquimedes.svg_-286x300.png\" alt=\"\" width=\"286\" height=\"300\" srcset=\"https:\/\/djalil.chafai.net\/blog\/wp-content\/uploads\/2024\/03\/Esfera_Arquimedes.svg_-286x300.png 286w, https:\/\/djalil.chafai.net\/blog\/wp-content\/uploads\/2024\/03\/Esfera_Arquimedes.svg_-768x804.png 768w, https:\/\/djalil.chafai.net\/blog\/wp-content\/uploads\/2024\/03\/Esfera_Arquimedes.svg_.png 800w\" sizes=\"(max-width: 286px) 100vw, 286px\" \/><\/a><\/p>\n<p style=\"text-align: justify;\">The Archimedes theorem allows to recover the formula for the surface of the sphere : if the sphere has radius $r$, then the surface of the cylinder is $2\\pi r\\times 2r=4\\pi r^2$. The cutting plane part of the Archimedes theorem says that the uniform distribution on the sphere, when projected on the vertical diameter, gives the uniform distribution on the diameter. Archimedes used antic geometrical methods. Nowadays, with the development of modern analytic and probabilistic tools, we can prove easily an extension of his theorem to arbitrary dimension. More precisely, let $(X_1,\\ldots,X_n)$ be a random vector of $\\mathbb{R}^n$, $n\\geq3$, uniformly distributed on the sphere $\\mathbb{S}^{n-1}$. Then its projection $(X_1,\\ldots,X_{n-2})$ on $\\mathbb{R}^{n-2}$ is uniform on the unit ball of $\\mathbb{R}^{n-2}$. Indeed, since $$(X_1,\\ldots,X_n)\\overset{\\mathrm{d}}{=}\\frac{Z}{\\|Z\\|}=\\frac{(Z_1,\\ldots,Z_n)}{\\sqrt{Z_1^2+\\cdots+Z_n^2}}$$where $Z=(Z_1,\\ldots,Z_n)\\sim\\mathcal{N}(0,I_n)$, we get, for all $1\\leq k\\leq n$,<br \/>\n$$\\begin{align*}\\|(X_1,\\ldots,X_k)\\|^2<br \/>\n&amp;=X_1^2+\\cdots+X_k^2\\\\<br \/>\n&amp;\\overset{\\mathrm{d}}{=}<br \/>\n\\frac{Z_1^2+\\cdots+Z_k^2}{Z_1^2+\\cdots+Z_k^2+Z_{k+1}^2+\\cdots+Z_n^2}\\\\<br \/>\n&amp;=\\frac{A}{A+B}\\\\<br \/>\n&amp;\\sim\\mathrm{Beta}\\Bigr(\\frac{k}{2},\\frac{n-k}{2}\\Bigr),\\end{align*}$$ where the last step comes from the fact that $\\frac{A}{A+B}\\sim\\mathrm{Beta}(\\frac{a}{2},\\frac{b}{2})$ when $$A\\sim\\chi^2(a)=\\Gamma\\Bigr(\\frac{a}{2},\\frac{1}{2}\\Bigr)\\quad\\text{and}\\quad B\\sim\\chi^2(b)=\\Gamma\\Bigr(\\frac{b}{2},\\frac{1}{2}\\Bigr)\\quad\\text{are independent}.$$Recall that the law $\\mathrm{Beta}(\\alpha,\\beta)$ has density proportional to $t\\in[0,1]\\mapsto t^{\\alpha-1}(1-t)^{\\beta-1}$, which is a power when $\\beta=1$. In particular, in the special case where $k=n-2$, we find $$\\mathrm{Beta}\\Bigr(\\frac{k}{2},\\frac{n-k}{2}\\Bigr)=\\mathrm{Beta}\\Bigr(\\frac{n}{2}-1,1\\Bigr),$$and this law has a power density, proportional to $t\\in[0,1]\\mapsto t^{n\/2-2}$. Now, a rotationally invariant random vector $X'$ of $\\mathbb{R}^{n-2}$ is uniformly distributed on the unit ball of $\\mathbb{R}^{n-2}$ iff $\\|X'\\|$ has density proportional to $r\\in[0,1]\\mapsto r^{n-3}$, in other words $\\|X'\\|^2$ has density proportional to $t\\in[0,1]\\mapsto\\sqrt{t}^{n-3}\/\\sqrt{t}=t^{n\/2-2}$, which matches the Beta law above.<\/p>\n<p style=\"text-align: justify;\"><strong>Reverse Archimedes theorem.<\/strong> It states that if $Z_1,\\ldots,Z_n$ are i.i.d. $\\mathcal{N}(0,1)$, $n\\geq1$, and if $E$ is exponential of unit mean independent of $Z_1,\\ldots,Z_n$, then the random vector $$<br \/>\n\\frac{(Z_1,\\ldots,Z_n)}{\\sqrt{Z_1^2+\\cdots+Z_n^2+2E}}<br \/>\n$$ is uniformly distributed on the unit ball of $\\mathbb{R}^n$. To see it, it suffices to use an extended Gaussian sequence $(Z_1,\\ldots,Z_{n+2})\\sim\\mathcal{N}(0,I_{n+2})$, the Archimedes principle, and the observation that $$Z_{n+1}^2+Z_{n+2}^2\\sim\\chi^2(2)=\\Gamma\\Bigr(\\frac{2}{2},\\frac{1}{2}\\Bigr)=\\mathrm{Exp}\\Bigr(\\frac{1}{2}\\Bigr)\\sim 2E.$$ The reverse Archimedes principle reveals that the uniform law on the ball concentrates, in high dimension, around the extremal sphere at its edge. Indeed, by the law of large numbers,$$\\frac{\\sqrt{Z_1^2+\\cdots+Z_n^2}}{\\sqrt{Z_1^2+\\cdots+Z_n^2+2E}}=\\frac{1}{\\sqrt{1+O\\bigr(\\frac{1}{n}\\bigr)}}\\underset{n\\to\\infty}{\\longrightarrow}1\\quad\\text{almost surely}.$$This is an instance of the thin-shell phenomenon for convex bodies. From this point of view, in high dimension $n$, the sphere of radius $\\sqrt{n}$ behaves approximately as an isotropic convex body.<\/p>\n<p style=\"text-align: justify;\"><strong>Note.<\/strong> The Archimedes theorem on the sphere and the cylinder is sometimes referred to as the Archimedes principle. But this last term is more classically used for the fact that a body at rest in a fluid is acted upon by a force pushing upward called the buoyant force, equal to the weight of the fluid that the body displaces, related to the famous Eur\u00eaka! These are distinct discoveries. Archimedes was a prolific mind, for instance we still use nowadays Archimedes' screws and Archimedes' parabolic mirrors, among other remarkable and useful elementary things.<\/p>\n<figure id=\"attachment_19738\" aria-describedby=\"caption-attachment-19738\" style=\"width: 296px\" class=\"wp-caption aligncenter\"><a href=\"http:\/\/djalil.chafai.net\/blog\/wp-content\/uploads\/2024\/03\/FieldsMedalBack.png\"><img loading=\"lazy\" class=\"wp-image-19738 size-medium\" src=\"http:\/\/djalil.chafai.net\/blog\/wp-content\/uploads\/2024\/03\/FieldsMedalBack-296x300.png\" alt=\"\" width=\"296\" height=\"300\" srcset=\"https:\/\/djalil.chafai.net\/blog\/wp-content\/uploads\/2024\/03\/FieldsMedalBack-296x300.png 296w, https:\/\/djalil.chafai.net\/blog\/wp-content\/uploads\/2024\/03\/FieldsMedalBack-80x80.png 80w, https:\/\/djalil.chafai.net\/blog\/wp-content\/uploads\/2024\/03\/FieldsMedalBack.png 596w\" sizes=\"(max-width: 296px) 100vw, 296px\" \/><\/a><figcaption id=\"caption-attachment-19738\" class=\"wp-caption-text\">Opposite side of the Medal, with Archimedes' tomb depicting his theorem on the sphere and the cylinder.<\/figcaption><\/figure>\n<p style=\"text-align: justify;\"><strong>Further reading.<\/strong><\/p>\n<ul>\n<li>Archimedes of Syracuse<br \/>\n<a href=\"https:\/\/en.wikipedia.org\/wiki\/On_the_Sphere_and_Cylinder\">On the Sphere and Cylinder<\/a><br \/>\nTwo volumes (-225)<\/li>\n<li>Bernard Beauzamy<br \/>\n<a>Archimedes' Modern Works<\/a><br \/>\nReal Life Mathematics, Soci\u00e9t\u00e9 de Calcul Math\u00e9matique (2012)<\/li>\n<li>G\u00e9rard Letac<br \/>\n<a href=\"https:\/\/djalil.chafai.net\/blog\/wp-content\/uploads\/2011\/11\/Letac-From-Archimedes-to-Statistics-The-area-of-the-sphere.pdf\">From Archimedes to statistics: the area of the sphere<\/a><\/li>\n<li>Jim Pitman and Nathan Ross<br \/>\n<a href=\"https:\/\/doi.org\/10.1090\/noti905\">Archimedes, Gauss, and Stein<\/a><br \/>\nNotices American Mathematical Society 59(10) 1416-1421 (2012)<\/li>\n<li>Author of this blog<br \/>\n<a href=\"https:\/\/djalil.chafai.net\/docs\/L3\/cours-gd.pdf\">Ph\u00e9nom\u00e8nes de grande dimension<\/a><br \/>\nNotes de cours - \u00c9cole normale sup\u00e9rieure (2024)<\/li>\n<li>Author of this blog<br \/>\n<a href=\"https:\/\/djalil.chafai.net\/blog\/2021\/05\/22\/the-funk-hecke-formula\/\">The Funk-Hecke formula<\/a><br \/>\nLibres pens\u00e9es d'un math\u00e9maticien ordinaire (2021)<\/li>\n<li>Author of this blog<br \/>\n<a href=\"https:\/\/djalil.chafai.net\/blog\/2011\/11\/17\/central-limit-theorems-for-convex-bodies\/\">Central limit theorem for convex bodies<\/a><br \/>\nLibres pens\u00e9es d'un math\u00e9maticien ordinaire (2011)<\/li>\n<\/ul>\n<figure id=\"attachment_19828\" aria-describedby=\"caption-attachment-19828\" style=\"width: 640px\" class=\"wp-caption aligncenter\"><a href=\"http:\/\/djalil.chafai.net\/blog\/wp-content\/uploads\/2024\/03\/Edouard_Vimont_1846-1930_Archimedes_death.jpg\"><img loading=\"lazy\" class=\"wp-image-19828\" src=\"http:\/\/djalil.chafai.net\/blog\/wp-content\/uploads\/2024\/03\/Edouard_Vimont_1846-1930_Archimedes_death-300x220.jpg\" alt=\"\" width=\"640\" height=\"470\" srcset=\"https:\/\/djalil.chafai.net\/blog\/wp-content\/uploads\/2024\/03\/Edouard_Vimont_1846-1930_Archimedes_death-300x220.jpg 300w, https:\/\/djalil.chafai.net\/blog\/wp-content\/uploads\/2024\/03\/Edouard_Vimont_1846-1930_Archimedes_death-768x563.jpg 768w, https:\/\/djalil.chafai.net\/blog\/wp-content\/uploads\/2024\/03\/Edouard_Vimont_1846-1930_Archimedes_death.jpg 950w\" sizes=\"(max-width: 640px) 100vw, 640px\" \/><\/a><figcaption id=\"caption-attachment-19828\" class=\"wp-caption-text\">Archimedes death, by \u00c9douard Vimont (1846 - 1930). A sphere in a cylinder is drawn on the wall behind him.<\/figcaption><\/figure>\n<p style=\"text-align: justify;\"><strong>Modern times.<\/strong> The reasoning above involving a Beta law is actually a very special aspect of a more general and deeper probabilistic structure involving the Dirichlet law, a generalizatoin of the Euler Beta law, defined using the Euler Gamma law. More precisely, for real parameters $a_1&gt;0,\\ldots,a_n&gt;0$, the law $\\mathrm{Dirichlet}(a_1,\\ldots,a_n)$ is the law of the random vector<br \/>\n$$(D_1,\\ldots,D_n):=\\frac{(G_1,\\ldots,G_n)}{G_1+\\cdots+G_n}$$of $\\mathbb{R}^n$, where $G_1,\\ldots,G_n$ are independent with $G_i\\sim\\mathrm{Gamma}(a_i,\\lambda)$, for an arbitrary scaling parameter $\\lambda&gt;0$. We can safely take without loss of generality $\\lambda=1$. The support of this law is the simplex of discrete probability distributions with $n$ atoms $$\\Delta_n:=\\{(p_1,\\ldots,p_n):p_1\\geq0,\\ldots,p_n\\geq0,p_1+\\cdots+p_n=1\\}\\subset[0,1]^n.$$ Its density is<br \/>\n$$<br \/>\n(x_1,\\ldots,x_{n-1})\\mapsto<br \/>\n\\frac{\\Gamma(a_1+\\cdots+a_n)}{\\Gamma(a_1)\\cdots\\Gamma(a_n)}<br \/>\n\\prod_{i=1}^{n-1}x_i^{a_i-1}\\Bigr(1-\\sum_{i=1}^{n-1}x_i\\Bigr)^{a_n-1}<br \/>\n\\mathbf{1}_{(x_1,\\ldots,x_{n})\\in\\Delta_n}.<br \/>\n$$ Moreover, for all $1\\leq i\\leq n$, the $i^{\\mathrm{th}}$ component follows a Beta law :<br \/>\n$$\\frac{G_i}{G_1+\\cdots+G_n}\\sim\\mathrm{Beta}(a_i,a_1+\\cdots+a_n-a_i).$$ The Dirichlet law structure is stable by summation by blocks. More precisely, for any partitition $I_1,\\ldots,I_k$ of the finite set $\\{1,\\ldots,n\\}$ into non-empty subsets or blocks, we have<br \/>\n$$<br \/>\n\\Bigr(\\sum_{i\\in I_1}D_i,\\ldots,\\sum_{i\\in I_k}D_i\\Bigr)<br \/>\n\\sim\\mathrm{Dirichlet}\\Bigr(\\sum_{i\\in I_1}a_i,\\ldots,\\sum_{i\\in I_k}a_i\\Bigr),$$ and for any non-empty subset $I$ of $\\{1,\\ldots,n\\}$, $$\\sum_{i\\in I}D_i\\sim\\mathrm{Beta}\\Bigr(\\sum_{i\\in I}a_i,\\sum_{i\\not\\in I}a_i\\Bigr).$$The Dirichlet law plays an important role for spatial points processes, stochastic simulation, as well as in Statistics due to their Bayesian duality with multinomial laws. If $U_1,\\ldots,U_n$ are independent uniform random variables on $[0,1]$, and if $U_{(0)}\\leq\\cdots\\leq U_{(n)}$ is their non-decreasing reordering, known as the order statistics, then, denoting $U_{(0)}:=0$ and $U_{(n+1)}:=1$, $$(U_{(1)}-U_{(0)},\\ldots,U_{(n+1)}-U_{(n)})\\overset{\\mathrm{d}}{=}\\frac{(E_1,\\ldots,E_{n+1})}{E_1+\\cdots+E_{n+1}}\\sim\\mathrm{Dirichlet}(1,\\ldots,1),$$ where $E_1,\\ldots,E_{n+1}$ are independent and identically distributed exponential random variables (with arbitrary parameter). This fact is at the heart of Poisson point processes.<\/p>\n<p style=\"text-align: justify;\">Another important side of what we used is the link between chi-square laws and Gamma laws. In terms of probabilistic culture and structure, there are two basic facts. The first one is $$\\chi^2(1):=\\Bigr(\\mathcal{N}(0,1)\\Bigr)^2=\\mathrm{Gamma}\\Bigr(\\frac{1}{2},\\frac{1}{2}\\Bigr)$$ while the second one is the additivity related to the Gamma shape parameter $$\\mathrm{Gamma}(a,\\lambda)*\\mathrm{Gamma}(b,\\lambda)=\\mathrm{Gamma}(a+b,\\lambda).$$ This gives the important fact $$\\chi^2(n)=(\\chi^2(1))^{*n}=\\Gamma\\Bigr(\\frac{n}{2},\\frac{1}{2}\\Bigr).$$ In particular the heart of the Box-Muller simulation algorithm involves the special case $$\\chi^2(2)=\\mathrm{Gamma}\\Bigr(1,\\frac{1}{2}\\Bigr)=\\mathrm{Expo}\\Bigr(\\frac{1}{2}\\Bigr)=-2\\log(\\mathrm{Uniform}[0,1]).$$<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Archimedes theorem. Archimedes (&#7944;&rho;&chi;&iota;&mu;&#942;&delta;&eta;&sigmaf;) of Syracuse (-287 - -212) is one of the greatest minds of all times. One of his discoveries is as follows&#8230;<\/p>\n<div class=\"more-link-wrapper\"><a class=\"more-link\" href=\"https:\/\/djalil.chafai.net\/blog\/2024\/03\/18\/archimedes-theorem-sphere-cylinder\/\">Continue reading<span class=\"screen-reader-text\">Archimedes theorem on sphere and cylinder<\/span><\/a><\/div>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"iawp_total_views":2750},"categories":[1],"tags":[],"_links":{"self":[{"href":"https:\/\/djalil.chafai.net\/blog\/wp-json\/wp\/v2\/posts\/19737"}],"collection":[{"href":"https:\/\/djalil.chafai.net\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/djalil.chafai.net\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/djalil.chafai.net\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/djalil.chafai.net\/blog\/wp-json\/wp\/v2\/comments?post=19737"}],"version-history":[{"count":199,"href":"https:\/\/djalil.chafai.net\/blog\/wp-json\/wp\/v2\/posts\/19737\/revisions"}],"predecessor-version":[{"id":21933,"href":"https:\/\/djalil.chafai.net\/blog\/wp-json\/wp\/v2\/posts\/19737\/revisions\/21933"}],"wp:attachment":[{"href":"https:\/\/djalil.chafai.net\/blog\/wp-json\/wp\/v2\/media?parent=19737"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/djalil.chafai.net\/blog\/wp-json\/wp\/v2\/categories?post=19737"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/djalil.chafai.net\/blog\/wp-json\/wp\/v2\/tags?post=19737"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}