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Jan 18, 2015 at 12:50 comment added Gauss @AlexDegtyarev, thank you. So, if I want to study zero set of some smooth function which is regular I can proceed as follows: approximate it wih Morse and study its topology. Very usefull thing then.
Jan 18, 2015 at 12:27 comment added Pietro Majer A simple example: a smooth function on S^1xS^1 may have only 3 critical point, but if they are only 3 at least one is degenerate .
Jan 18, 2015 at 12:25 comment added Alex Degtyarev In other words, you can always find a Morsification whose critical values are in arbitrary small n/hoods of those of the original function. Outside of those n/hoods, nothing happens: everything is locally trivial.
Jan 18, 2015 at 12:23 comment added Alex Degtyarev Yes, of course. Morse functions constitute a dense subset. Although, of course, it is not true that there is a single Morsification not affecting any of the regular values: some will be affected (a singular point will break into several Morse ones). But you can always keep one favorite regular value.
Jan 18, 2015 at 12:14 comment added Gauss @AlexDegtyarev, you mean that morsifications of a singular points can be provided in a sufficiently small neighbourhoods and this doesn't effect the regualr submanifolds?
Jan 18, 2015 at 12:12 comment added Gauss @JoonasIlmavirta, I am interested in a topological difference, homology or something. especcialy in a low-dimensional cases 1,2 and 3.
Jan 18, 2015 at 12:09 comment added Alex Degtyarev Different in what sense? They are certainly diffeomorphic as submanifolds (assuming, of course, that $a$ remains a regular value all the way during the perturbation); actually, they are even diffeotopic. As long as you are speaking about regular values, you do not need to bother about other singularities.
Jan 18, 2015 at 12:08 comment added Joonas Ilmavirta How do you want to measure the difference of the two submanifolds? Hausdorff distance or something else?
Jan 18, 2015 at 12:02 review First posts
Jan 18, 2015 at 12:09
Jan 18, 2015 at 12:02 history asked Gauss CC BY-SA 3.0