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        <title>Trinh @ Bath dynsys</title>
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       <dc:date>2026-05-14T21:56:22+00:00</dc:date>
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        <title>Trinh @ Bath</title>
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        <dc:date>2021-09-06T01:53:43+00:00</dc:date>
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        <title>dynsys:about</title>
        <link>http://ptrinh.com/dynsys:about?rev=1630893223&amp;do=diff</link>
        <description>About this project

Rationale


Pattern formation is a beautiful subject that has strong links to both applied 
mathematics and the natural sciences. The purpose of this project is to use a 
multimedia web environment to visualize the quantitative principles underlying 
reaction-diffusion models of pattern formation.</description>
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        <dc:date>2021-09-06T01:06:06+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>dynsys:navigation</title>
        <link>http://ptrinh.com/dynsys:navigation?rev=1630890366&amp;do=diff</link>
        <description>&lt;WRAP noprint&gt;

&lt;/WRAP&gt;</description>
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        <dc:date>2021-09-06T01:53:17+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>dynsys:numerics</title>
        <link>http://ptrinh.com/dynsys:numerics?rev=1630893197&amp;do=diff</link>
        <description>A primer in numerical methods

Beyond visualizing the mathematical concepts in pattern formation, you may be 
curious to learn about how the animations were actually implemented using MATLAB.
In this section I want introduce some of the key ideas behind the code that was used to generate the 
animated gifs, guide you through some of the code, and make it accessible
for you to make similar animations as well. \begin{equation} \label{heatEqn} \frac{\partial u}{\partial t}\, - \,D_u \frac{\partial …</description>
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        <dc:date>2021-09-06T01:06:06+00:00</dc:date>
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        <title>dynsys:nummethods</title>
        <link>http://ptrinh.com/dynsys:nummethods?rev=1630890366&amp;do=diff</link>
        <description>Numerical Methods for solving PDE's

As a amateur in applied mathematics, I find that my biggest frustration
is not knowing how to implement the models presented in papers I read.
The pretty figures in the papers seemed so
compelling but at the same time unreachable. In this section I want to try and 
step through some of the key ideas behind the code that was used to generate the 
gifs scattered around the website. This is an extremely basic introduction to the 
numerical methods to solve PDE's…</description>
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        <dc:date>2021-09-06T01:51:55+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>dynsys:pattern</title>
        <link>http://ptrinh.com/dynsys:pattern?rev=1630893115&amp;do=diff</link>
        <description>Pattern Formation in Nature

Have you ever wondered why tigers have stripes, giraffes have spots, and humans 
don't have either? 
If you have, how did you go about answering that question? Since leopards, tigers, and humans are all different species,
it might make sense that our appearance would be different. But what exactly makes us 
look different? Maybe, you might say, it is all genetically programmed.
Maybe nature has a library with volumes of recipe book: one for humans, one for zebras,
on…</description>
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        <dc:date>2021-09-06T01:52:13+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>dynsys:reactdiffuse1</title>
        <link>http://ptrinh.com/dynsys:reactdiffuse1?rev=1630893133&amp;do=diff</link>
        <description>Reaction-Diffusion Equations

In this chapter, we study a class of partial differential equations (PDE's) 
called Reaction-Diffusion Equations, which are frequently used in modeling,
and describe the diffusion (spreading out) and reaction of one or several chemical species.$u(x,t)$$x$$t$\begin{equation} \frac{\partial u}{\partial t} = \underbrace{D_u \frac{\partial^2 u}
{\partial x^2}}_{\text{Diffusion}} + \overbrace{f(u)}^{\text{Reaction}}, 
\label{eqn:reactdiffuse1D} \end{equation}$D_u$$u$$f(u…</description>
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        <dc:date>2021-09-06T01:52:29+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>dynsys:reactdiffuse2</title>
        <link>http://ptrinh.com/dynsys:reactdiffuse2?rev=1630893149&amp;do=diff</link>
        <description>Reaction-Diffusion Equations 2

Why do we need Diffusion AND Reactions?

What benefit do diffusion-reaction models have over just reaction or just diffusion models? 

As discussed in the introduction, one of the big questions in developmental 
biology is how complex organisms emerge from a single fertilized egg. 
The answer has long been thought to be chemical gradients. If you have different 
chemicals at different concentrations throughout the embryo, and you apply a 
threshold function so tha…</description>
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        <dc:date>2021-09-06T01:52:46+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>dynsys:turinginst1</title>
        <link>http://ptrinh.com/dynsys:turinginst1?rev=1630893166&amp;do=diff</link>
        <description>Turing Instabilities: Part 1

Before we go into pattern formation let's quickly review the key concepts of 
Reaction-Diffusion equations:

	*  Diffusion: It can be understood as arising from Brownian motion, and it tends to have a “smoothing-out”\begin{alignat}{3}
 \frac{\partial u}{\partial t} 
&amp;= D_u\frac{\partial^2u}{\partial x^2}  
&amp;&amp;+ f(u,v),  \label{difrxn1} \\
\frac{\partial v}{\partial t} &amp;= D_v\frac{\partial^2 v}{\partial x^2} &amp;&amp;+ g(u,v). \label{difrxn2}
\end{alignat}$D_u$$D_v$$u$$v$$u(…</description>
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        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>dynsys:turinginst2</title>
        <link>http://ptrinh.com/dynsys:turinginst2?rev=1630893176&amp;do=diff</link>
        <description>Turing Instabilities Part 2: Gierer-Meinhardt Model

The previous section derived the conditions that are needed for a Turing instability 
to exist. Now, let us step through an example in order to see how this works in practice. 

We will consider the Gierer-Meinhardt model, which is a reaction diffusion system that
describes an activator-inhibitor interaction. It is one of the equations that have been 
used to model morphogenesis and patterns in development, though experimental 
evidence is sti…</description>
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        <dc:date>2021-09-06T01:53:08+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>dynsys:turinginst3</title>
        <link>http://ptrinh.com/dynsys:turinginst3?rev=1630893188&amp;do=diff</link>
        <description>Turing Instabilities and Tiger stripes

All of the sections up until now have been building up the mathematical foundations
that we need to answer the question I asked at the very beginning: Where do tigers 
get their stripes?

The systems that we have considered so far are all one-dimensional, but it is not 
difficult to extend our analysis into two dimensions. We can revisit the idea of 
spatial dependence of patterns with the 2D Gierer Meinhardt model on a thin domain
and on a square domain.\…</description>
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        <dc:date>2021-09-06T01:53:32+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>dynsys:vids</title>
        <link>http://ptrinh.com/dynsys:vids?rev=1630893212&amp;do=diff</link>
        <description>Mathematics of Patterns: Video Series

To watch all of the videos on a Youtube playlist go here

	*  Home
	*  Pattern formation in nature
	*  Reaction-diffusion I
	*  Reaction-diffusion II
	*  Turing I
	*  Turing II
	*  Turing III
	*  Numerical methods and Matlab
	*  Videos
	*  About</description>
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