LML Online conference in January 2021 will explore the concepts of Ergodicity Economics and their application to research in economics and other fields, including neuroscience, psychology, marketing and medicine.
https://t.co/Nbpx52yvWQ
https://t.co/Nbpx52yvWQ
💡 A workshop on computational (and statistical!) phase transitions at Simons Institute. A lot of exciting progress.
https://t.co/8pVYZlZWeI
https://t.co/8pVYZlZWeI
Paper-Writing in Applied Mathematics: A Tutorial (by Mason A. Porter)
https://www.aparat.com/v/EeZDY/Paper-Writing_in_Applied_Mathematics%3A_A_Tutorial_%28by_Mason_A._Porter%29
https://www.aparat.com/v/EeZDY/Paper-Writing_in_Applied_Mathematics%3A_A_Tutorial_%28by_Mason_A._Porter%29
آپارات - سرویس اشتراک ویدیو
Paper-Writing in Applied Mathematics: A Tutorial (by Mason A. Porter)
On 20 April 2018, I presented a tutorial and discussion on paper-writing in applied mathematics to some UCLA Ph.D. students.
You can find the slides here: https://www.slideshare.net/masonporter/paper-writing-in-applied-mathematics-slightly-updated-slides
You can find the slides here: https://www.slideshare.net/masonporter/paper-writing-in-applied-mathematics-slightly-updated-slides
💰 #PhD #postdoc
We are hiring doctoral and postdoctoral researchers at the Social Networks Lab of ETH Zürich.🇨🇭
Details and application: https://t.co/RAtrd5HL0T
We are hiring doctoral and postdoctoral researchers at the Social Networks Lab of ETH Zürich.🇨🇭
Details and application: https://t.co/RAtrd5HL0T
Renormalization, writes David Tong, a theorist at the University of Cambridge, is “arguably the single most important advance in theoretical physics in the past 50 years.”
I agree! Ken Wilson "changed physics forever."
https://t.co/R4FbcVY6ie
I agree! Ken Wilson "changed physics forever."
https://t.co/R4FbcVY6ie
Quanta Magazine
How Mathematical ‘Hocus-Pocus’ Saved Particle Physics
Renormalization has become perhaps the single most important advance in theoretical physics in 50 years.
💰 I am looking to hire a #postdoc (start date flexible) @SFUPhysics in Vancouver, to do #nonequilibrium #thermodynamics (theory, computation, and collaboration with experiments) applied to #molecularmachines. Details:
https://t.co/MX9ZqsKt5T
https://t.co/MX9ZqsKt5T
Forwarded from Sitpor.org سیتپـــــور
دو نوشته مهم برای کسانی که به تازگی در #کنکور #کارشناسی شرکت کردهاند و قصد #تحصیل در رشته #فیزیک را دارند:
🎯 چهارسال فیزیک!
🎯 کنکوریها حواستان باشد جوگیر نشوید؛ در علم جایی برای جوگیرها نیست!
@sitpor
🎯 چهارسال فیزیک!
🎯 کنکوریها حواستان باشد جوگیر نشوید؛ در علم جایی برای جوگیرها نیست!
@sitpor
Forwarded from Sitpor.org سیتپـــــور
کوانتا مگزین نوشته جالبی منتشر کرده در مورد بازبهنجارش و اثرش روی فیزیک. شاید برای هر کسی که سر و کارش با فیزیکه، اوایل موضوعاتی مثل نسبیت و مکانیک کوانتومی ذهنشو درگیر کنه، اما به نظر من برای کسی که تجربه بیشتری در فیزیک داشته باشه قطعا یکی از هیجانانگیزترین ایدهها، ایده بازبهنجارشه.
💡یک دوره کوتاه و مقدماتی در مورد بازبهنجارش در سیتپور وجود داره:
🔗 sitpor.org/complex-systems/renormalization/
برای یک مقدمه فنیتر میتونید به درسگفتارهای دیوید تانگ یا دکتر کریمیپور نگاه کنید.
—————
@sitpor
💡یک دوره کوتاه و مقدماتی در مورد بازبهنجارش در سیتپور وجود داره:
🔗 sitpor.org/complex-systems/renormalization/
برای یک مقدمه فنیتر میتونید به درسگفتارهای دیوید تانگ یا دکتر کریمیپور نگاه کنید.
—————
@sitpor
Breaking news at #netsci2020: this year Euler Award has just been announced and it goes to Prof. Alessandro Vespignani!
https://t.co/j6njDNY7ye
https://t.co/j6njDNY7ye
#articles Generalized entropies, density of states, and non-extensivity
Sámuel G. Balogh, Gergely Palla, Péter Pollner & Dániel Czégel
Scientific Reports volume 10, Article number: 15516 (2020)
Abstract
The concept of entropy connects the number of possible configurations with the number of variables in large stochastic systems. Independent or weakly interacting variables render the number of configurations scale exponentially with the number of variables, making the Boltzmann–Gibbs–Shannon entropy extensive. In systems with strongly interacting variables, or with variables driven by history-dependent dynamics, this is no longer true. Here we show that contrary to the generally held belief, not only strong correlations or history-dependence, but skewed-enough distribution of visiting probabilities, that is, first-order statistics, also play a role in determining the relation between configuration space size and system size, or, equivalently, the extensive form of generalized entropy. We present a macroscopic formalism describing this interplay between first-order statistics, higher-order statistics, and configuration space growth. We demonstrate that knowing any two strongly restricts the possibilities of the third. We believe that this unified macroscopic picture of emergent degrees of freedom constraining mechanisms provides a step towards finding order in the zoo of strongly interacting complex systems.
Sámuel G. Balogh, Gergely Palla, Péter Pollner & Dániel Czégel
Scientific Reports volume 10, Article number: 15516 (2020)
Abstract
The concept of entropy connects the number of possible configurations with the number of variables in large stochastic systems. Independent or weakly interacting variables render the number of configurations scale exponentially with the number of variables, making the Boltzmann–Gibbs–Shannon entropy extensive. In systems with strongly interacting variables, or with variables driven by history-dependent dynamics, this is no longer true. Here we show that contrary to the generally held belief, not only strong correlations or history-dependence, but skewed-enough distribution of visiting probabilities, that is, first-order statistics, also play a role in determining the relation between configuration space size and system size, or, equivalently, the extensive form of generalized entropy. We present a macroscopic formalism describing this interplay between first-order statistics, higher-order statistics, and configuration space growth. We demonstrate that knowing any two strongly restricts the possibilities of the third. We believe that this unified macroscopic picture of emergent degrees of freedom constraining mechanisms provides a step towards finding order in the zoo of strongly interacting complex systems.
Nature
Generalized entropies, density of states, and non-extensivity
Scientific Reports - Generalized entropies, density of states, and non-extensivity
#articles Pseudo-Darwinian evolution of physical flows in complex networks
Geoffroy Berthelot, Liubov Tupikina, Min-Yeong Kang, Bernard Sapoval & Denis S. Grebenkov
Scientific Reports volume 10, Article number: 15477 (2020)
Abstract
The evolution of complex transport networks is investigated under three strategies of link removal: random, intentional attack and “Pseudo-Darwinian” strategy. At each evolution step and regarding the selected strategy, one removes either a randomly chosen link, or the link carrying the strongest flux, or the link with the weakest flux, respectively. We study how the network structure and the total flux between randomly chosen source and drain nodes evolve. We discover a universal power-law decrease of the total flux, followed by an abrupt transport collapse. The time of collapse is shown to be determined by the average number of links per node in the initial network, highlighting the importance of this network property for ensuring safe and robust transport against random failures, intentional attacks and maintenance cost optimizations.
Geoffroy Berthelot, Liubov Tupikina, Min-Yeong Kang, Bernard Sapoval & Denis S. Grebenkov
Scientific Reports volume 10, Article number: 15477 (2020)
Abstract
The evolution of complex transport networks is investigated under three strategies of link removal: random, intentional attack and “Pseudo-Darwinian” strategy. At each evolution step and regarding the selected strategy, one removes either a randomly chosen link, or the link carrying the strongest flux, or the link with the weakest flux, respectively. We study how the network structure and the total flux between randomly chosen source and drain nodes evolve. We discover a universal power-law decrease of the total flux, followed by an abrupt transport collapse. The time of collapse is shown to be determined by the average number of links per node in the initial network, highlighting the importance of this network property for ensuring safe and robust transport against random failures, intentional attacks and maintenance cost optimizations.
Nature
Pseudo-Darwinian evolution of physical flows in complex networks
Scientific Reports - Pseudo-Darwinian evolution of physical flows in complex networks
Three fantastic #postdoc positions at CSH Vienna in economics, health, and foundations of complex systems. Deadline October 31st. https://t.co/e75eVxApEK