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Complex Systems Studies
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📄 How and why does statistical mechanics work?
Navinder Singh (2011)

🔗 https://arxiv.org/pdf/1103.4003

📌 ABSTRACT
As the noscript says we want to answer the question; how and why does statistical mechanics work? As we know from the most used prenoscription of Gibbs we calculate the phase space averages of dynamical quantities and we find that these phase averages agree very well with experiments. Clearly actual experiments are not done on a hypothetical ensemble they are done on the actual system in the laboratory and these experiments take a finite amount of time. Thus it is usually argued that actual measurements are time averages and they are equal to phase averages due to ergodicity. Aim of the present review is to show that ergodicity is not relevant for equilibrium statistical mechanics (with Tolman and Landau). We will see that the solution of the problem is in the very peculiar nature of the macroscopic observables and with the very large number of the degrees of freedom involved in macroscopic systems as first pointed out by Khinchin. Similar arguments are used by Landau based upon the approximate property of "Statistical Independence". We review these ideas in detail and in some cases present a critique. We review the role of chaos (classical and quantum) where it is important and where it is not important. We criticise the ideas of E. T. Jaynes who says that the ergodic problem is conceptual one and is related to the very concept of ensemble itself which is a by-product of frequency theory of probability, and the ergodic problem becomes irrelevant when the probabilities of various micro-states are interpreted with Laplace-Bernoulli theory of Probability (Bayesian viewpoint). In the end we critically review various quantum approaches (quantum-statistical typicality approaches) to the foundations of statistical mechanics.
⭕️ Inspired by Laszlo Barabasi's award talk at CCS 2017 in Cancun, a small group of Twitter users have started discussing the idea to create "Complexity Literacy", a list of core ideas that should be taught/learned in Complexity / Complex Systems courses.

🔗 https://docs.google.com/forms/d/e/1FAIpQLSeWUfPNyjC1-_NeHfHWIl0IXwhnWntdTuwhKKLxgWHv-UmWjA/viewform

You can find a similar effort in Network Science here => http://tinyurl.com/networkliteracy.

This form is to initiate an initial brainstorming process by collecting various ideas from the Complex Systems community at large. Please identify yourself so we can contact you for further discussions in the future!

Hiroki Sayama (sayama@binghamton.edu)
هفته‌ی آینده، هفته‌ی نوبل است. اعلام نام برندگان از روز دوشنبه و با جایزه‌ی پزشکی شروع خواهد شد.

برندگان (یا برنده‌ی) نوبل فیزیک، روز سه‌شنبه، و در زودترین زمان ساعت ۱۳:۱۵ به وقت تهران مشخص خواهند شد. معنای در زودترین زمان این است که تاخیر قابل قبول است. برای نمونه در سال ۲۰۱۳ که پیتر هیگز و فرانسیس انگلارت جایزه را بردند، آکادمی نوبل در حدود ۲ ساعت تاخیر داشت.
💲 "Study the brain in the heart of Europe": a new call for applications of the International Max Planck Research School for Neural Circuits (deadline: December 1, 2017). See also www.imprs.brain.mpg.de
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IMPRS movie 2016
🏅 2017 Nobel Prize in Physics
https://www.nobelprize.org/nobel_prizes/physics/laureates/2017/press.html

The Nobel Prize in Physics 2017 was divided, one half awarded to Rainer Weiss, the other half jointly to Barry C. Barish and Kip S. Thorne "for decisive contributions to the LIGO detector and the observation of gravitational waves".
🎞 Video lectures for Nonlinear Dynamics & Chaos taught in 2017 stream free here:
https://www.youtube.com/channel/UCBKOMCUz9OuWJOSZ_oPZmDw
کمیته‌های نوبل ادبیات و صلح به واقع مصداق بارزی از سیستم‌های پیچیده هستند که هیچ کسی حکمت کارهاشون رو نمی‌فهمه.

امروز، برنده‌ی نوبل ادبیات ساعت ۱ به وقت اروپا که می کنه ۲:۳۰ تهران معرفی خواهد شد.

طبق معمول هم سر زبان‌ها امثال موراکامی، فیلیپ راث و امثالهم هستند. اما خب کمیته نشون داده همیشه می‌تونه سورپریزمون کنه.
🌧️🌧️🌧️ 👇👇👇