When I was making my u-sub animation a while ago, i was thinking about something similar.. how even an innocent non-linear u-sub seems to deform the region in a way that’s not obviously equal in area to its ‘parent’ region so i was wondering if there were .. 1/2
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Replying to @InertialObservr @johncarlosbaez and
ways to quantify the notion of ‘intuitive’ equal area .. started by fixing 2 points in the x-axis then started deforming curves connecting them .. it started to smell like topology so i dropped it and went back to research
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Replying to @InertialObservr @johncarlosbaez and
Maybe deform one curve into the other along a geodesic defined by the earth move distance, which preserves the integral
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Replying to @sigfpe @johncarlosbaez and
hmm.. i think I understand .. so if I have a curve γ(t) on some manifold, then moving along a geodesic to some γ’(t) will have equal area?
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Replying to @InertialObservr @johncarlosbaez and
It'll be the path that preserves area but moves the smallest amount of "stuff" over time to do it. I'm sure
@gabrielpeyre tweeted an animation along these lines a while back.2 replies 0 retweets 3 likes -
Replying to @sigfpe @InertialObservr and
D ␣ a ␣ n ␣ P ␣ i ␣ p ␣ o ␣ n ␣ i Retweeted Gabriel Peyré
Ah...it's this. https://twitter.com/gabrielpeyre/status/1137585164886978562?s=21 … I think it's just saying linearly interpolate the "cumulative" density. I don't know if that's interesting in this case.
D ␣ a ␣ n ␣ P ␣ i ␣ p ␣ o ␣ n ␣ i added,
0:05Gabriel Peyré @gabrielpeyre1D optimal transport interpolation corresponds to interpolating the inverse cumulative functions (the quantile function). https://en.wikipedia.org/wiki/Cumulative_distribution_function#Inverse_distribution_function_(quantile_function) … pic.twitter.com/UBeO7IyYQ6Show this thread1 reply 0 retweets 3 likes -
Replying to @sigfpe @johncarlosbaez and
Interesting.. reminds me of using fractional derivatives to interpolate between functions in an animation, though those aren’t area preserving in general
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Replying to @InertialObservr @johncarlosbaez and
That's sounds close to something I've played with: using fractional "functional" powers of functions to interpolate. Eg. f is "functional" square root of sin if f(f(x))=sin(x)
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Replying to @sigfpe @johncarlosbaez and
that’s really neat .. it never occurred to me to use functional roots to interpolate, since (at least for me) they are difficult to solve analytically i first started playing with them when
@CmonMattTHINK nerd-sniped me with a puzzle a few months ago1 reply 0 retweets 1 like -
Replying to @InertialObservr @johncarlosbaez and
I have code to compute formal power series of these things for some classes of functions. They tend to have weird coefficients and badly behaved convergence properties. But it was interesting to try anyway. (And identify the coefficients on OEIS)
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that is really neat .. and I can see now why you would try it, since you know (by construction) the final iteration is exactly what you want .. maybe there’d a nice sequence there, who knows..
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