Algebraic topology vs differential topology
Algebraic and Differential Topology in Data Analysis (ADTDA) The course will cover some recent applications of topology and differential geometry in data analysis. Tools of differential and algebraic topology are starting to impact the area of data sciences, where the mathematical apparatus thus far was dominated by the ideas from statistical learning, computational linear algebra and high-dimensional normed space theories. While the research community around ADT topics in data analysis is lively and fast-growing, the area is somewhat sparsely represented in campus syllabi. Syllabus 1. Tools from algebraic topology Homotopy equivalence, Simplicial homology, Nerve lemma, Dowker’s theorem 2. Topological Approximations Vietoris-Rips and Čech complexes. Topology reconstruction from random samples: Niyogi-Smale-Weinberger. Topology reconstruction from dense samples: Hausmann-Latscher. Sketches: Merge trees; Reeb graphs. 3. Topological Inference Persistent Homology: Algorithms; Stability. Biparametric persistence 4. Euler calculus Integration with respect to Euler characteristics. Topological Signal Processing. Valuations; Hadwiger’s Theorem. Average persistence for Gaussian fields. 5. Aggregation Spaces with averaging. Arrow theorem and Topological Social Choice. Aggregation in CAT(0) spaces 6. Clustering Basic clustering tools. Kleinberg’s Impossibility theorem. Carlsson-Memoli functorial approach to clustering. 7. Tools from differential topology Useful topological spaces: manifolds, subanalytic sets, simplicial complexes. Transversality, Sard’s theorem. Whitney’s embedding theorem. The course will rely mainly on the recent papers, and a few textbooks, like R Ghrist, Elementary Applied Topology, Createspace, 2014 To receive credit the students will be expected
The class will be conducted remotely: the lectures will be held via zoom (one time registration required) at the planned times, – 9:30 on Tuesdays and Thursdays. The first lecture is on March 24. While most of materials and links will be posted here, we will be also using moodle for course-specific announcements. If you auditing the course, let me know so I can add you to the list of users. Weekly updates:
Differential topology is the subject devoted to the study of topological properties of differentiable manifolds, smooth manifolds and related differential geometric spaces such as stratifolds, orbifolds and more generally differentiable stacks. Differential topology is also concerned with the problem of finding out which topological (or PL) manifolds allow a differentiable structure and the degree of nonuniqueness of that structure if they do (e.g. exotic smooth structures). It is also concerned with concrete constructions of (co)homology classes (e.g. characteristic classes) for differentiable manifolds and of differential refinements of cohomology theories. ExamplesMany considerations, and classification problems, depend crucially on dimension, and the case of high-dimensional manifolds (the notion of ‘high’ depends on the problem) is often very different from the situation in each of the low dimensions; thus there are specialists’ subjects like 33-(dimensional) topology and 44-topology. There are restrictions on an underlying topology which is allowed for some sorts of additional structures on a differentiable manifold. For example, only some even-dimensional differentiable manifolds allow for symplectic structure and only some odd-dimensional one allow for a contact structure; in these cases moreover special constructions of topological invariants like Floer homology and symplectic field theory exist. This yields the relatively young subjects of symplectic and contact topologies, with the first significant results coming from Gromov. Any (Hausdorff paracompact finite-dimensional) differentiable manifold allows for riemannian structure however; therefore there is no special subject of ‘riemannian topology’. Entries in differential topologyReferencesThough some of the basic results, methods and conjectures of differential topology go back to Poincaré, Whitney, Morse and Pontrjagin, it became an independent field only in the late 1950s and early 1960s with the seminal works of Smale, Thom, Milnor and Hirsch. Soon after the initial effort on foundations, mainly in the American school, a strong activity started in Soviet Union (Albert Schwarz, A. S. Mishchenko, S. Novikov, V. A. Rokhlin, M. Gromov…). Introductions and monographs:
Survey with connections to algebraic topology: See also
Generalization to equivariant differential topology:
I would say, it depends on how much Differential Topology you are interested in. Generally speaking, Differential Topology makes use of Algebraic Topology at various places, but there are also books like Hirsch' that introduce Differential Topology without (almost) any references to Algebraic Topology. Having said that, topological theory built on differential forms needs background/experience in Algebraic Topology (and some Homological Algebra). In other words, for a proper study of Differential Topology, Algebraic Topology is a prerequisite. Addendum (book recommendations): 1) For a general introduction to Geometry and Topology:
2) For Algebraic Topology:
3) For Algebraic Topology with homotopical focus:
4) For Differential Topology:
5) For Differential Algebraic Topology:
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