Is the Convolution of Two Gaussians Always a Gaussian?

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The convolution of two Gaussian functions results in another Gaussian function, as established through both direct computation and Fourier transform properties. Specifically, the convolution integral of two standard Gaussians can be expressed as an exponential function that simplifies to a Gaussian centered at a different point. This conclusion is supported by the properties of Fourier transforms, which state that the Fourier transform of a Gaussian is a Gaussian, and the convolution of functions corresponds to the pointwise product of their Fourier transforms.

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I've read on a bunch of websites that the convolution of two gaussians produces another gaussian however I have not seen this integration worked out. I am working on an integral which has a similar form as this convolution so it would be a great help too see. Does anyone know a book or website or wants to type out the answer for me? Thanks a lot.

Nicholi.
 
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nshiell said:
Does anyone know a book or website or wants to type out the answer for me?
Nicholi.

Could you not write out the convolution explicitly (even for two standard gaussians) ?
 
int(exp(-x^2)*exp(-(r-x)^2))dx

there is the limits are +/- infinity
 
You can use another method for this:

\exp\left[ -x^2 \right] \exp\left[ -(r-x)^2 \right] = <br /> \exp\left[ -2 x^2 + 2 r x - r^2 \right] = <br /> \exp\left[ -2 (x + r/2)^2 \right] \exp\left[ - r^2 / 2 \right]<br />
where the last term does not depend on x and the first one is just another Gaussian, but centered around a different point.
 
Thanks!
 
CompuChip said:
You can use another method for this:

\exp\left[ -x^2 \right] \exp\left[ -(r-x)^2 \right] = <br /> \exp\left[ -2 x^2 + 2 r x - r^2 \right] = <br /> \exp\left[ -2 (x + r/2)^2 \right] \exp\left[ - r^2 / 2 \right]<br />
where the last term does not depend on x and the first one is just another Gaussian, but centered around a different point.

This only shows c) here below.

Another argument, besides direct computation, is by standard properties of Fourier transform:
a) Fourier transform of a gaussian is a gaussian
b) Fourier transform of convolution product = pointwise product of Fourier transforms (up to choice of normalisation)
c) pointwise product of gaussians is gaussian.
d) inverse Fourier transform of a gaussian is gaussian.
 
Question: A clock's minute hand has length 4 and its hour hand has length 3. What is the distance between the tips at the moment when it is increasing most rapidly?(Putnam Exam Question) Answer: Making assumption that both the hands moves at constant angular velocities, the answer is ## \sqrt{7} .## But don't you think this assumption is somewhat doubtful and wrong?

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