tends to infinity, the ratio between the 
term and the 
term gets closer and closer to something that we call the Golden Ratio, denoted by 
:<\/p>\nGuest post by Ville Satopaa ’11 from my Discrete Mathematics 251 class.<\/p>\n
We all know of the famous Fibonacci sequence<\/p>\n
0, 1, 1, 2, 3, 5, 8, 13, …<\/p>\n
in which each term is the sum of the previous two.<\/p>\n
When
This ratio seems to define beauty to some extent. In fact, it turns out that a person with a beautiful face has nose, eye position, the length of chin and many other measurements of the face in the Golden Ratio. Here are some measurements that should follow the Golden Ratio:<\/p>\n
1. length of the face \/ width of the face<\/p>\n
2. width of the mouth \/ width of the nose<\/p>\n
3. width of the eyebrows \/ the distance between the pupils.<\/p>\n
4. outside distance between eyes \/ hairline to pupil<\/p>\n
5. nose tip to chin \/ mouth to the chin<\/p>\n
Well, are faces with ratios close to the Golden Ratio actually beautiful? Fortunately, it is easy to test this. Let’s pick a photo of an attractive person looking directly at the camera, so that it is easy to make the measurements.<\/p>\n
1. 7.1 \/ 4.3 = 1.65116 Guest post by Ville Satopaa ’11 from my Discrete Mathematics 251 class. We all know of the famous Fibonacci sequence 0, 1, 1, 2, 3, 5, 8, 13, … in which each term is the sum of the previous two. When tends to infinity, the ratio between the term and the term gets closer and […]<\/p>\n","protected":false},"author":269,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[14043],"tags":[],"class_list":["post-9","post","type-post","status-publish","format-standard","hentry","category-math"],"acf":[],"_links":{"self":[{"href":"https:\/\/sites.williams.edu\/Morgan\/wp-json\/wp\/v2\/posts\/9","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sites.williams.edu\/Morgan\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/sites.williams.edu\/Morgan\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/sites.williams.edu\/Morgan\/wp-json\/wp\/v2\/users\/269"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.williams.edu\/Morgan\/wp-json\/wp\/v2\/comments?post=9"}],"version-history":[{"count":3,"href":"https:\/\/sites.williams.edu\/Morgan\/wp-json\/wp\/v2\/posts\/9\/revisions"}],"predecessor-version":[{"id":2008,"href":"https:\/\/sites.williams.edu\/Morgan\/wp-json\/wp\/v2\/posts\/9\/revisions\/2008"}],"wp:attachment":[{"href":"https:\/\/sites.williams.edu\/Morgan\/wp-json\/wp\/v2\/media?parent=9"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/sites.williams.edu\/Morgan\/wp-json\/wp\/v2\/categories?post=9"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/sites.williams.edu\/Morgan\/wp-json\/wp\/v2\/tags?post=9"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}![\"MeghanFox\"](\"http:\/\/sites.williams.edu\/Morgan\/files\/2008\/10\/MeghanFox.png\")
<\/a>
\nUsing this picture of Meghan Fox from exposay.com<\/a> I measured the following ratios (the picture pasted to this file is of difference size):<\/p>\n
\n2. 1.6 \/ 1.0 = 1.6
\n3. 3.3 \/ 1.9 = 1.73684
\n4. 2.9 \/ 2.1 = 1.38095
\n5. 2.0 \/ 1.3 = 1.53846
\nThe mean ratio turns out to be ![\\bar{\\phi} \\approx 1.58](\"http:\/\/images.google.com\/imgres?imgurl=http:\/\/www.exposay.com\/celebrity-photos\/megan-fox-11th-annual-rock-the-vote-awards-arrivals-0Dom7U.jpg&imgrefurl=http:\/\/www.exposay.com\/megan-fox-11th-annual-rock-the-vote-awards---arrivals\/p\/8308\/0\/%3Fj%3D57853&h=620&w=400&sz=36&hl=en&start=21&um=1&usg=__bnTooGL9MIUdJzzIGwZgrY5hXFQ=&tbnid=uIpq40-3dXrppM:&tbnh=136&tbnw=88&prev=\/images%3Fq%3DMeghan%2BFox%26start%3D20%26ndsp%3D20%26um%3D1%26hl%3Den%26sa%3DN\" "\\bar{\\phi} \\approx 1.58")