nonlinear delay differential equation - MathOverflow most recent 30 from http://mathoverflow.net2013-05-19T07:36:52Zhttp://mathoverflow.net/feeds/question/109410http://www.creativecommons.org/licenses/by-nc/2.5/rdfhttp://mathoverflow.net/questions/109410/nonlinear-delay-differential-equationnonlinear delay differential equationPatrickT2012-10-11T19:46:22Z2012-10-13T17:04:29Z
<p>Consider the delay differential equation:</p>
<p>$ y_x(x) = \sqrt{y(x-\bar{x})} $</p>
<p>where $y$ is the unknown function of $x$, and where $\bar{x}$ is a fixed parameter. </p>
<p>This equation does not seem to have a known closed-form solution.</p>
<p>Would anyone know how to get a series solution for $y(x)$? </p>
<p>Thanks!</p>
http://mathoverflow.net/questions/109410/nonlinear-delay-differential-equation/109412#109412Answer by András Bátkai for nonlinear delay differential equationAndrás Bátkai2012-10-11T20:24:24Z2012-10-13T17:04:29Z<p>As mentioned already by Denis Serre, there is a rich literature investigating delay equations.</p>
<p>If you make an experiment, and fix $\bar{x}=1$, then you see that you need as an initial value the complete past on $[-1,0]$. To play a bit, tak as an initial function the constant function $y(s)=1$ for $s\in[-1,0]$. Then you can calculate the solution explicitly for $x\in[0,1]$, then using this you can calculate the solutuion on $[1,2]$, etc.
We see that it is far from being analytic. Hence, no chance for a series sepresentation of a solution.</p>
<p>If you are interested in classical stuff, then <a href="http://books.google.hu/books/about/Differential_difference_equations.html?id=j4LwpwGPXzwC&redir_esc=y" rel="nofollow">Bellman and Cooke</a> is an excellent book.
An other good reference is the one by <a href="http://books.google.hu/books?id=ZNLjAJQMhqwC&lpg=PP1&hl=de&pg=PP1#v=onepage&q&f=false" rel="nofollow">Hale and Verduyn Lunel</a>.</p>
<p><strong>ADDED:</strong> If it is a delay equation (i.e., $\bar{x}>0$), then the initial condition has to be a function (you have to know the whole past). Then the iteration procedure I described works always. This gives you a possible approximation formula, most numerical methods also work this way.</p>
<p>You are right about analyticity: series representation does it. Smoothness is a consequence. The example I presented to you is only once differentiable at $x=1$, twice at $x=2$, etc.
Hence, cannot be analytic.</p>