next up previous
Next: Discussion Up: Mathematical Features of The Previous: The Basic Diffusion Equation

The Gaussian Function

Consider, for example, the diffusion equation (2.1) together with the initial condition:

  equation216

and the boundary condition:

  equation219

where we seek a solution in all n-dimensional space. For these boundary conditions to be consistent, we assume the given initial condition satisfy:

  equation223

   definition227

  definition251

    lemma263

The property that tex2html_wrap_inline1151 can be interpreted as a variance suggests that as tex2html_wrap_inline1151 increases, the Gaussian kernel spreads out and becomes broader and flatter, whereas as tex2html_wrap_inline1151 decreases towards zero, the Gaussian kernel becomes narrower and sharper, while the total area under the curve remains constant.

  definition289

   lemma296

  lemma303

Proof
First note that:

  equation310

where tex2html_wrap_inline1295 . Therefore:

  equation317

and hence:

  equation331

On the other hand:

  equation337

and hence tex2html_wrap_inline1297 .

   theorem355

Proof
First we check the partial differential equation. Lemma 4 together with Lemma 4 implies:

  equation369

Next, property (2.9) of the Gaussian kernel together with Lemma 3 imply:

  equation383

Finally, since both tex2html_wrap_inline1299 and tex2html_wrap_inline1301 die out as tex2html_wrap_inline1303 , it is clear that their convolution dies out as well.





Prof. F. Fontaine
Thu May 9 15:40:13 EDT 1996