List questions from convolution

Published on 12 Apr 2026 - 15:08

33

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$f_{X+Y}(t)$ where $X \sim \mathcal U([a,b])$ and $Y \sim \mathcal U([c,d])$

Published on 17 Apr 2026 - 12:02

1.4k

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Convolution of locally integrable and compactly supported infinitely differentiable function

Published on 14 Apr 2026 - 5:47

67

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$2$-Norm for Convolution

Published on 12 Apr 2026 - 2:39

261

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Artificial unity for the convolution.

Published on 11 May 2026 - 1:36

407

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Convolution operator has norm 1 with respect to $L^2$ norm

Published on 11 Apr 2026 - 13:55

69

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On Convolution: Show that $g_a *g_b = g_{\min(a,b)}$

Published on 16 Apr 2026 - 0:16

87

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Which transform makes correllation a multiplication?

Published on 10 May 2026 - 12:35

180

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What is the relation between a filter matrix and convolution Fourier basis?

Published on 14 Apr 2026 - 15:39

250

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Evaluating matrix integral

Published on 08 Apr 2026 - 17:32

212

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Find density function for Z=X-Y

Published on 15 Apr 2026 - 4:02

148

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Technique for Fourier transform

Published on 11 Apr 2026 - 13:41

78

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Why is the region of the integral in convolution truncated to t when the functions are zero in negative t?

Published on 13 Apr 2026 - 14:11

196

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How does $\int (uv)dx = \int u dx \int v dx $ follow from $ (uv)w = u(v*w) $ by taking $w = 1$?

Published on 14 Apr 2026 - 2:56

459

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Convolution Theorem for Distributions

Published on 25 Apr 2026 - 20:15

List Question

Find the density function of $Z=X+Y$ when $X$ and $Y$ are standard normal

$f_{X+Y}(t)$ where $X \sim \mathcal U([a,b])$ and $Y \sim \mathcal U([c,d])$

Convolution of locally integrable and compactly supported infinitely differentiable function

$2$-Norm for Convolution

Artificial unity for the convolution.

Convolution operator has norm 1 with respect to $L^2$ norm

On Convolution: Show that $g_a *g_b = g_{\min(a,b)}$

Which transform makes correllation a multiplication?

What is the relation between a filter matrix and convolution Fourier basis?

Evaluating matrix integral

Find density function for Z=X-Y

Technique for Fourier transform

Why is the region of the integral in convolution truncated to t when the functions are zero in negative t?

How does $\int (uv)dx = \int u dx \int v dx $ follow from $ (uv)w = u(v*w) $ by taking $w = 1$?

Convolution Theorem for Distributions

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