Timeline for Distance of vectors versus distance of their difference vectors
Current License: CC BY-SA 4.0
33 events
| when toggle format | what | by | license | comment | |
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| S Apr 9, 2019 at 15:01 | history | bounty ended | CommunityBot | ||
| S Apr 9, 2019 at 15:01 | history | notice removed | CommunityBot | ||
| S Apr 2, 2019 at 14:27 | history | edited | R.P. |
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| Apr 2, 2019 at 14:04 | review | Suggested edits | |||
| S Apr 2, 2019 at 14:27 | |||||
| Apr 2, 2019 at 14:03 | answer | added | Alex Ravsky | timeline score: 0 | |
| S Apr 2, 2019 at 3:56 | history | suggested | CommunityBot | CC BY-SA 4.0 |
\operatorname{} has context-dependent spacing an in some other respects does not always have the same effect as \mbox{}. Also some other minor edits.
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| Apr 2, 2019 at 1:40 | review | Suggested edits | |||
| S Apr 2, 2019 at 3:56 | |||||
| S Apr 1, 2019 at 13:53 | history | bounty started | j.s. | ||
| S Apr 1, 2019 at 13:53 | history | notice added | j.s. | Canonical answer required | |
| Apr 25, 2017 at 9:18 | answer | added | Rodrigo de Azevedo | timeline score: 1 | |
| S Apr 23, 2017 at 19:33 | history | edited | Taras Banakh | CC BY-SA 3.0 |
Improved the appearance of {i,j}
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| S Apr 23, 2017 at 19:33 | history | suggested | Rodrigo de Azevedo | CC BY-SA 3.0 |
Improved the question
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| Apr 23, 2017 at 19:11 | review | Suggested edits | |||
| S Apr 23, 2017 at 19:33 | |||||
| Apr 23, 2017 at 12:04 | history | edited | Tom Goodwillie | CC BY-SA 3.0 |
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| Apr 23, 2017 at 11:49 | history | edited | Tom Goodwillie | CC BY-SA 3.0 |
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| Apr 23, 2017 at 10:06 | history | edited | j.s. | CC BY-SA 3.0 |
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| Apr 23, 2017 at 1:26 | history | edited | j.s. | CC BY-SA 3.0 |
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| Apr 22, 2017 at 20:36 | history | edited | j.s. | CC BY-SA 3.0 |
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| Apr 22, 2017 at 19:21 | comment | added | j.s. | @Rasberry: No, entries of $\nabla{f}$ indexed by all two-element subsets of ${\{1,...,n}\}$. | |
| Apr 22, 2017 at 19:07 | comment | added | Thomas Rasberry | Apologies for running too far off-topic, but is $\mathbb{R}^{\binom{n}{2}}$ the same as $\mathbb{R}^{n \times n}?$ | |
| Apr 22, 2017 at 18:56 | history | edited | j.s. | CC BY-SA 3.0 |
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| Apr 22, 2017 at 17:43 | history | edited | j.s. | CC BY-SA 3.0 |
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| Apr 22, 2017 at 15:52 | history | edited | j.s. | CC BY-SA 3.0 |
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| Apr 22, 2017 at 13:08 | comment | added | j.s. | @Poloni. I have checked it for many more than 10.000 random functions. | |
| Apr 22, 2017 at 12:42 | comment | added | Federico Poloni | This is the kind of claims that I start believing in only after I have done at least 10.000 random experiments without finding any counterexample... | |
| Apr 22, 2017 at 12:42 | comment | added | j.s. | @Firsching: Yes, you are right. I forgut mention that the angle between $f$ and $g$ is at most $\pi/2$. I edit question. | |
| Apr 22, 2017 at 12:40 | history | edited | j.s. | CC BY-SA 3.0 |
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| Apr 22, 2017 at 12:35 | comment | added | Moritz Firsching | what if you take $f=(1,-1)$ and $g=(-1,1)$? Isn't then $\nabla f = \nabla g = (2)$, and their distance 0, while $dist(f,g)=2\sqrt{2}$? | |
| Apr 22, 2017 at 11:56 | history | edited | j.s. | CC BY-SA 3.0 |
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| Apr 22, 2017 at 11:51 | comment | added | j.s. | @Beenakker: That is Euclidean distance or squared Euclidean distance (i.e. sum of squared differences of all elements). | |
| Apr 22, 2017 at 11:44 | comment | added | Carlo Beenakker | how is is the "distance" of $\nabla f$ and $\nabla g$ defined? sum of difference of all elements squared? | |
| Apr 22, 2017 at 11:12 | history | edited | j.s. |
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| Apr 22, 2017 at 11:01 | history | asked | j.s. | CC BY-SA 3.0 |