Question

non negative distributional derivative

score 85 · Answer 1 · 2018-09-06 11:03:44

85

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non negative distributional derivative

Published on 06 Sep 2018 - 11:03

score 493 · Answer 2 · 2018-09-07 06:08:47

493

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Partial Derivative of Multivariate Indicator Function in the Distributional Sense

Published on 07 Sep 2018 - 6:08

score 39 · Answer 3 · 2018-09-10 17:50:26

39

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A limit that exists strongly in Sobolev space $H^s$ and weakly in $H^{s+1}$

Published on 10 Sep 2018 - 17:50

score 263 · Answer 4 · 2018-09-13 13:38:21

263

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Introduction to the Theory of Distributions, Friedlander and Joshi, Exercise 2.1

Published on 13 Sep 2018 - 13:38

score 170 · Answer 5 · 2018-09-13 13:46:05

170

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Introduction to the Theory of Distributions, Friedlander and Joshi, Exercise 2.2

Published on 13 Sep 2018 - 13:46

score 161 · Answer 6 · 2018-09-23 09:17:50

161

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Distributional proof of Helmholtz decomposition

Published on 23 Sep 2018 - 9:17

score 221 · Answer 7 · 2018-09-23 14:47:31

221

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$L^p(\mathbb{R})$ convergence of Fourier truncated integral to $f$ for $f\in L^p(\mathbb{R})$ and $p\in(2,+\infty)$.

Published on 23 Sep 2018 - 14:47

score 91 · Answer 8 · 2018-09-27 04:24:14

91

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A uniqueness problem of PDE

Published on 27 Sep 2018 - 4:24

score 148 · Answer 9 · 2018-09-27 21:40:42

148

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Existence of a smooth extension vanishes at infinity

Published on 27 Sep 2018 - 21:40

score 252 · Answer 10 · 2018-09-29 12:56:11

252

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How do we need to read the Dirac-comb identity?

Published on 29 Sep 2018 - 12:56

score 1.8k · Answer 11 · 2018-09-30 12:37:24

1.8k

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How can we prove the scaling property of the Dirac delta function rigorously?

Published on 30 Sep 2018 - 12:37

score 391 · Answer 12 · 2018-10-03 10:19:05

391

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C^infty approximation of Heaviside step function: definite integral of a bump function

Published on 03 Oct 2018 - 10:19

score 367 · Answer 13 · 2018-10-04 04:08:31

367

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How to show that the cdf of Y is $F(\sqrt{Y})$ if cdf of $X$ is $F(x)$, and $Y=X^2$?

Published on 04 Oct 2018 - 4:08

score 57 · Answer 14 · 2018-10-09 16:48:50

57

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How to distribute N alike objects to M people with given constraints

Published on 09 Oct 2018 - 16:48

score 1.8k · Answer 15 · 2026-03-25 07:44:38

1.8k

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Derivative of $\ln|x|$ is the principal value of $1/x.$ Distribution Theory.

Published on 25 Mar 2026 - 7:44

List Question

non negative distributional derivative

Partial Derivative of Multivariate Indicator Function in the Distributional Sense

A limit that exists strongly in Sobolev space $H^s$ and weakly in $H^{s+1}$

Introduction to the Theory of Distributions, Friedlander and Joshi, Exercise 2.1

Introduction to the Theory of Distributions, Friedlander and Joshi, Exercise 2.2

Distributional proof of Helmholtz decomposition

$L^p(\mathbb{R})$ convergence of Fourier truncated integral to $f$ for $f\in L^p(\mathbb{R})$ and $p\in(2,+\infty)$.

A uniqueness problem of PDE

Existence of a smooth extension vanishes at infinity

How do we need to read the Dirac-comb identity?

How can we prove the scaling property of the Dirac delta function rigorously?

C^infty approximation of Heaviside step function: definite integral of a bump function

How to show that the cdf of Y is $F(\sqrt{Y})$ if cdf of $X$ is $F(x)$, and $Y=X^2$?

How to distribute N alike objects to M people with given constraints

Derivative of $\ln|x|$ is the principal value of $1/x.$ Distribution Theory.

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