{"id":987,"date":"2010-08-19T20:43:48","date_gmt":"2010-08-20T00:43:48","guid":{"rendered":"http:\/\/scientopia.org\/blogs\/goodmath\/?p=987"},"modified":"2010-08-19T20:43:48","modified_gmt":"2010-08-20T00:43:48","slug":"an-introduction-to-topology","status":"publish","type":"post","link":"http:\/\/www.goodmath.org\/blog\/2010\/08\/19\/an-introduction-to-topology\/","title":{"rendered":"An Introduction to Topology"},"content":{"rendered":"<p> When I took a poll of topics that people wanted my to write about, an awful lot of you asked me to write about topology. I did that before &#8211; right after I moved my blog to ScienceBlogs. But it&#8217;s been a while. So I&#8217;m going to go back to those old posts, do some editing and polishing, correct some errors, and repost them. Along the way, I&#8217;ll add a few new posts.<\/p>\n<p> We&#8217;ll start with the fundamental question: just what <em>is<\/em> topology?<\/p>\n<p> I&#8217;ve said before that the way that I view math is that it&#8217;s fundamentally about abstraction. Math is taking complex ideas,  breaking down to simple concepts, and then exploring what those concepts really mean, and exactly what you can build using them.<\/p>\n<p> I argue that topology, at its deepest level, is about continuity and nearness. In a continuous surface, what does in mean for things to be close to one another? What kind of structures can you build using nothing but nearness relationships? What is a structure defined solely by that notion of nearness?<\/p>\n<p><!--more--><\/p>\n<p> When I say that continuity is fundamental to the basic abstraction of topoligy, some people &#8211; particularly topologists! &#8211; get upset, because continuity has a very specific meaning within topology, and that is <em>not<\/em> the meaning that I&#8217;m using when I make that statement.<\/p>\n<p> In topology, you take a set of points, and you define their structure by which points are <em>close to<\/em> each other. Most of the basic topological structures are built using infinite sets of points, where there is no real notion of two points that are <em>immediate<\/em> neighbors; there&#8217;s a continuum of ever smaller regions that define ever closer and closer neighborhood relationships. The kind of continuity that I&#8217;m talking about is more like the continuity of a surface &#8211; it&#8217;s that fundamental notion of things that are <em>close to<\/em> each other, with that infinite ability to get take narrower and narrower subsets around a point. The kinds of structures that you get from doing that are interesting. In some sense, you&#8217;re defining shapes &#8211; but they&#8217;re malleable, squishy, twisty shapes, because all that matters is what points are <em>close to<\/em> what other points &#8211; not <em>what direction<\/em> you need to go to get from one to another.<\/p>\n<p> Let&#8217;s take a quick look at an example. There&#8217;s a famous joke about topologists; you can always recognize a topology at breakfast, because they&#8217;re the people who can&#8217;t tell the difference between their coffee mug and their donut.<\/p>\n<p> Like most good jokes, there&#8217;s a kernel of truth hidden inside of it. From the viewpoint of topology, the coffee mug and the donut are <em>the same shape.<\/em> They&#8217;re both toruses. In topology, the exact shape doesn&#8217;t matter: what matters is the basic continuities of the surface: what is connected to what, what points are close to what other points. In the following diagram, all three shapes are topologically identical: <\/p>\n<p><a href=\"https:\/\/i0.wp.com\/scientopia.org\/blogs\/goodmath\/files\/2010\/08\/toruses.jpeg\"><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" src=\"https:\/\/i0.wp.com\/scientopia.org\/blogs\/goodmath\/files\/2010\/08\/toruses.jpeg?resize=487%2C172\" alt=\"\" width=\"487\" height=\"172\" class=\"alignright size-full wp-image-988\" srcset=\"https:\/\/i0.wp.com\/www.goodmath.org\/blog\/wp-content\/uploads\/2010\/08\/toruses.jpeg?w=487 487w, https:\/\/i0.wp.com\/www.goodmath.org\/blog\/wp-content\/uploads\/2010\/08\/toruses.jpeg?resize=300%2C105 300w\" sizes=\"auto, (max-width: 487px) 100vw, 487px\" \/><\/a><\/p>\n<p> If you turn the coffee mug into clay, you can remold it from mug-shape to donut-shape without tearing it, or breaking it, or gluing any edges together. One can become the other by just squishing and stretching: so in topology, they are the same shape.<\/p>\n<p> On the other hand, a sphere is different: you can&#8217;t turn a donut into a sphere without punching a hole in it; and you can&#8217;t turn a sphere into a torus without either punching a hole in it, or stretching it into a tube and gluing the ends together. You can&#8217;t turn one into the other without changing the basic continuity of the shape.<\/p>\n<p> To look at it slightly more formally: take a sphere. Now, punch a hole through it, to turn in into a torus. If you think about the points that surround the donut-hole, they <em>used to<\/em> be close &#8211; that is, neighbors of &#8211; the points on the other side of the hole. But after the hole is punched through, they&#8217;re really far away &#8211; you need to go all the way around the hole to get to them, when they used to be right next door. So you&#8217;ve changed the nearness relations by making that hole.<\/p>\n<p> Topology was one of the hottest mathematical topics of the 20th century, and as a result, it naturally has a lot of subfields. A few examples include:<\/p>\n<dl>\n<dt> Metric topology<\/dt>\n<dd> the study of distance in different spaces. The measure of distance and related concepts like angles in different topologies.<\/dd>\n<dt>Algebraic topology<\/dt>\n<dd> the study of topologies using the tools of abstract algebra. In particular, studies of things like how to construct a complex space from simpler ones. Category theory is largely based on concepts that originated in algebraic topology.<\/dd>\n<dt>Geometric topology<\/dt>\n<dd> the study of manifolds and their embeddings. In general, geometric topology looks at lower-dimensional structures, most either two or three dimensional. (A manifold is an abstract space where every point is in a region that appears to be euclidean if you only look at the local neighborhood. But on a larger scale, the euclidean properties may disappear.)<\/dd>\n<dt>Network topology<\/dt>\n<dd> topology in the realm of discrete math. Network topologies are graphs (in the graph theory sense) consisting of nodes and edges.<\/dd>\n<dt> Differential topology<\/dt>\n<dd>the study of differential equations in topological spaces that have the properties necessary to make calculus work.<\/dd>\n<\/dl>\n<p> Personally, I find metric topology to be remarkably dull, so I&#8217;m not going to write much about it. Differential topology is completely beyond the capabilities of my puny brain, so there&#8217;s no way that I can write anything intelligent about it. Network topology more properly belongs in a discussion of graph theory, which is something I&#8217;ve written about before. So I&#8217;ll give you a passing glance at metric topology to see what it&#8217;s all about, and algebraic topology is where I&#8217;ll spend most of my time.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>When I took a poll of topics that people wanted my to write about, an awful lot of you asked me to write about topology. I did that before &#8211; right after I moved my blog to ScienceBlogs. But it&#8217;s been a while. So I&#8217;m going to go back to those old posts, do some [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[65],"tags":[],"class_list":["post-987","post","type-post","status-publish","format-standard","hentry","category-topology"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_shortlink":"https:\/\/wp.me\/p4lzZS-fV","jetpack_sharing_enabled":true,"jetpack_likes_enabled":true,"_links":{"self":[{"href":"http:\/\/www.goodmath.org\/blog\/wp-json\/wp\/v2\/posts\/987","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/www.goodmath.org\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/www.goodmath.org\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/www.goodmath.org\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/www.goodmath.org\/blog\/wp-json\/wp\/v2\/comments?post=987"}],"version-history":[{"count":0,"href":"http:\/\/www.goodmath.org\/blog\/wp-json\/wp\/v2\/posts\/987\/revisions"}],"wp:attachment":[{"href":"http:\/\/www.goodmath.org\/blog\/wp-json\/wp\/v2\/media?parent=987"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.goodmath.org\/blog\/wp-json\/wp\/v2\/categories?post=987"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.goodmath.org\/blog\/wp-json\/wp\/v2\/tags?post=987"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}