The convolution of two functions can be thought of as a measure of the overlap of the graphs as one graph is shifted horizontally across the other. Formally, if

and

are functions, the convolution of the two is the function

.
The plot shows

, that is,

shifted by

units, in blue,

in purple, and the product of the two in gold. Thus the gray area is exactly the value of the convolution at

.
If

and

are independent random variables with respective density functions

and

, then the density function of

is the convolution of

and

. Interestingly, the convolution of two Gaussian densities is a Gaussian density.