Wiki source code of Stochastic methods for physics and biology, spring 2010
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1 | = Stochastic methods for physics and biology, spring 2010 = | ||
2 | |||
3 | === Lecturer === | ||
4 | |||
5 | [[Stefan Geritz>>doc:mathstatHenkilokunta.Geritz, Stefan]] | ||
6 | [[Paolo Muratore-Ginanneschi>>doc:mathstatHenkilokunta.Muratore-Ginanneschi, Paolo]] | ||
7 | |||
8 | === Scope === | ||
9 | |||
10 | The aim of the course is to introduce the basic concepts of the theory of stochastic differential equations needed in applications (applied mathematics, physics and biology). In particular we will illustrate methods of qualitative, asymptotic and numerical analysis. | ||
11 | |||
12 | 10 cu. | ||
13 | |||
14 | === Type === | ||
15 | |||
16 | Advanced studies. | ||
17 | |||
18 | === Prerequisites === | ||
19 | |||
20 | === Lectures === | ||
21 | |||
22 | Weeks 3-9 and 11-18, Monday 14-16 in room C124 and Friday 14-16 in room C123. | ||
23 | |||
24 | Easter holiday 1.-7.4. | ||
25 | |||
26 | First lecture: Friday, 22.01.2010 | ||
27 | |||
28 | === Lecture Notes === | ||
29 | |||
30 | The lecture notes cover and sometimes integrate the material expounded in the lections. They also give bibliographic references for the same topics. For exercises please refer to the section below. | ||
31 | |||
32 | |=((( | ||
33 | Lectures 1-10 | ||
34 | )))|=((( | ||
35 | Lectures 10-20 | ||
36 | ))) | ||
37 | |((( | ||
38 | [[Lecture_01>>attach:lecture_01.pdf]]: Background of Probability | ||
39 | )))|((( | ||
40 | [[Lecture_11>>attach:lecture_11.pdf]]: Kolmogorov-Chentsov theorem | ||
41 | ))) | ||
42 | |((( | ||
43 | [[Lecture_02 (rev 29.01)>>attach:lecture_02.pdf]]: Bernoulli variables, Borel-Cantelli lemma | ||
44 | )))|((( | ||
45 | [[Lecture_12>>attach:lecture_12.pdf]]: White-noise | ||
46 | ))) | ||
47 | |((( | ||
48 | [[Lecture_03>>attach:lecture_03.pdf]]: Limit theorems | ||
49 | )))|((( | ||
50 | [[Lecture_13>>attach:lecture_13.pdf]]: Ito integral | ||
51 | ))) | ||
52 | |((( | ||
53 | [[Lecture_04>>attach:lecture_04.pdf]]: Martingales | ||
54 | )))|((( | ||
55 | [[Lecture_14>>attach:lecture_14.pdf]]: Ito and Stratonovich calculus | ||
56 | ))) | ||
57 | |((( | ||
58 | [[Lecture_05>>attach:lecture_05.pdf]]: Numerical generation of random variables | ||
59 | )))|((( | ||
60 | [[Lecture_15>>attach:lecture_15.pdf]]: SDE, existence and uniqueness | ||
61 | ))) | ||
62 | |((( | ||
63 | [[Lecture_06 (rev 12.02)>>attach:lecture_06.pdf]]: Statistical tests | ||
64 | )))|((( | ||
65 | [[Lecture_16>>attach:lecture_16.pdf]]: Kolmogorov pair and diffusion | ||
66 | ))) | ||
67 | |((( | ||
68 | [[Lecture_07>>attach:lecture_07.pdf]]: Fokker-Planck equation I | ||
69 | )))|((( | ||
70 | [[Lecture_17>>attach:lecture_17.pdf]]: Exit time statistics | ||
71 | ))) | ||
72 | |((( | ||
73 | [[Lecture_08>>attach:lecture_08.pdf]]: Fokker-Planck equation II | ||
74 | )))|((( | ||
75 | [[Lecture_18>>attach:lecture_18.pdf]]: Girsanov formula | ||
76 | ))) | ||
77 | |((( | ||
78 | [[Lecture_09>>attach:lecture_09.pdf]]: Brownian motion | ||
79 | )))|((( | ||
80 | [[Lecture_19>>attach:lecture_19.pdf]]: Numerical integration of SDE's | ||
81 | ))) | ||
82 | |((( | ||
83 | [[Lecture_10>>attach:lecture_10.pdf]]: Karhunen-Loève representation | ||
84 | )))|((( | ||
85 | [[Lecture_20>>attach:Population_dynamics.pdf]]: Population dynamics | ||
86 | ))) | ||
87 | |||
88 | [[Probabilistic interpretation of set theoretic concepts >>attach:probabilistic_interpretation_table.pdf]] | ||
89 | |||
90 | === Exams === | ||
91 | |||
92 | There will be two options for taking the course. Passing an exam to be held after the end of the course, in | ||
93 | date to be agreed or working out a short project (recommended). | ||
94 | |||
95 | === Bibliography === | ||
96 | |||
97 | 1. L.C. Evans, //"An Introduction to Stochastic Differential Equations"//, lecture notes. | ||
98 | 1. P. E. Kloeden, E. Platen, H. Schurz, //"Numerical Solution Of Sde Through Computer Experiments"//, Springer (Universitext) (2003). | ||
99 | 1. N. Berglund, B. Gentz //"Noise-Induced Phenomena in Slow-Fast Dynamical Systems. A Sample-Paths Approach"//, Springer (Probability and its Applications) (2005). | ||
100 | 1. D.J. Higham, //"An algorithmic introduction to numerical simulation of stochastic differential equations"// SIAM Review, Education Section, 43, 2001, 525-546. ([[Link>>url:http://personal.strath.ac.uk/d.j.higham/pubs.html||shape="rect"]] to Higham's publications page.) | ||
101 | |||
102 | Book extended preview is available on line from [[google books>>url:http://books.google.com/?utm_source=createcontent&utm_medium=link&utm_content=booksearch&utm_campaign=en||shape="rect"]] | ||
103 | |||
104 | === [[Registration>>url:https://oodi-www.it.helsinki.fi/hy/opintjakstied.jsp?html=1&Tunniste=57072||shape="rect"]] === | ||
105 | |||
106 | Did you forget to register? [[What to do>>doc:mathstatOpiskelu.Kysymys4]]. | ||
107 | |||
108 | === Exercise groups === | ||
109 | |||
110 | |=((( | ||
111 | Group | ||
112 | )))|=((( | ||
113 | Day | ||
114 | )))|=((( | ||
115 | Time | ||
116 | )))|=((( | ||
117 | Place | ||
118 | )))|=((( | ||
119 | Instructor | ||
120 | ))) | ||
121 | |((( | ||
122 | 1. | ||
123 | )))|((( | ||
124 | Wednesday | ||
125 | )))|((( | ||
126 | 16-18 | ||
127 | )))|((( | ||
128 | C124 | ||
129 | )))|((( | ||
130 | |||
131 | ))) | ||
132 | |||
133 | [[Exercise set 1>>attach:exercises_01.pdf]] | ||
134 | [[Exercise set 2>>attach:exercises_02.pdf]] | ||
135 | [[Exercise set 3>>attach:exercises_03.pdf]] | ||
136 | [[Exercise set 4>>attach:exercises_04.pdf]] | ||
137 | [[Exercise set 5>>attach:exercises_05.pdf]] | ||
138 | |||
139 | ==== Courseware ==== | ||
140 | |||
141 | The codes below make use of the [[pgplot>>url:http://www.astro.caltech.edu/~~tjp/pgplot/||shape="rect"]] graphic library and of the [[GNU GSL>>url:http://www.gnu.org/software/gsl/||shape="rect"]] | ||
142 | scientific library. You need to install these packages in order to use the codes as they are. | ||
143 | |||
144 | [[A c code to generate histograms>>attach:histo_plot.c]] and its [[initialization code>>attach:histo_plot.ini]] |