A two-state trajectory (also termed two-state time trajectory or a trajectory with two states) is a dynamical signal that fluctuates between two distinct values: ON and OFF, open and closed, , etc. Mathematically, the signal has, for every either the value or . In most applications, the signal is stochastic; nevertheless, it can have deterministic ON-OFF components. A completely deterministic two-state trajectory is a square wave. There are many ways one can create a two-state signal, e.g. flipping a coin repeatedly. A stochastic two-state trajectory is among the simplest stochastic processes. Extensions include: three-state trajectories, higher discrete state trajectories, and continuous trajectories in any dimension. (Wikipedia).
Systems of Equations with Elimination Two Variables Two Equations Example 2
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From playlist Systems of Equations
Systems of Equations with Elimination Two Variables Two Equations Example 1
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From playlist Systems of Equations
How to determine if two vectors are parallel, orthogonal or neither
Learn how to determine if two vectors are orthogonal, parallel or neither. You can setermine whether two vectors are parallel, orthogonal, or neither uxsing the dot/cross product or using the slope formula. Recall that two lines are parallel if they both have the same slope and are perpem
From playlist Vectors
Two Dimensional Motion (2 of 4) Worked Example
For projectile motion shows how to determine the maximum height, the time in the air and the distance traveled for an object that is projected with a known initial velocity at a known angle above the horizon. You can see a listing of all my videos at my website, http://www.stepbystepscien
From playlist Mechanics
Systems of Equations with Substitution Two Variables Two Equations Example 2
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Systems of Equations Two Variables Two Equations Infinitely Many Solutions
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From playlist Systems of Equations
Systems of Equations with Substitution Two Variables Two Equations Example 1
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Multivariable Calculus | Interactions of lines in 3 dimensions.
We describe how two lines can interact in three dimensions. In addition, we give examples of intersecting, parallel, and skew lines. http://www.michael-penn.net http://www.randolphcollege.edu/mathematics/
From playlist Lines and Planes in Three Dimensions
2 dimensional projectile motion (part 1)
Using vectors to solve 2 dimensional projectile motion problems
From playlist Old Physics Videos
Dynamical large deviations and open quantum systems - J. Garrahan - PRACQSYS 2018 - CEB T2 2018
Juan Garrahan (School of Physics and Astronomy and Centre for the Mathematics and Theoretical Physics of Quantum Non-Equilibrium Systems, University of Nottingham, Nottingham, United Kingdom) / 02.07.2018 Dynamical large deviations and open quantum systems I will explain how, in systems
From playlist 2018 - T2 - Measurement and Control of Quantum Systems: Theory and Experiments
Quantum many-body scars, mixed phase spaces and non-universal thermalization by Maksym Serbyn
PROGRAM THERMALIZATION, MANY BODY LOCALIZATION AND HYDRODYNAMICS ORGANIZERS: Dmitry Abanin, Abhishek Dhar, François Huveneers, Takahiro Sagawa, Keiji Saito, Herbert Spohn and Hal Tasaki DATE : 11 November 2019 to 29 November 2019 VENUE: Ramanujan Lecture Hall, ICTS Bangalore How do is
From playlist Thermalization, Many Body Localization And Hydrodynamics 2019
Large deviations and quantum non- equilibrium by Juan P Garrahan
Large deviation theory in statistical physics: Recent advances and future challenges DATE: 14 August 2017 to 13 October 2017 VENUE: Madhava Lecture Hall, ICTS, Bengaluru Large deviation theory made its way into statistical physics as a mathematical framework for studying equilibrium syst
From playlist Large deviation theory in statistical physics: Recent advances and future challenges
From playlist CS294-112 Deep Reinforcement Learning Sp17
Weak measurements by Alex Matzkin ( Lecture - 04)
21 November 2016 to 10 December 2016 VENUE Ramanujan Lecture Hall, ICTS Bangalore Quantum Theory has passed all experimental tests, with impressive accuracy. It applies to light and matter from the smallest scales so far explored, up to the mesoscopic scale. It is also a necessary ingredie
From playlist Fundamental Problems of Quantum Physics
Markov processes and applications-5 by Hugo Touchette
PROGRAM : BANGALORE SCHOOL ON STATISTICAL PHYSICS - XII (ONLINE) ORGANIZERS : Abhishek Dhar (ICTS-TIFR, Bengaluru) and Sanjib Sabhapandit (RRI, Bengaluru) DATE : 28 June 2021 to 09 July 2021 VENUE : Online Due to the ongoing COVID-19 pandemic, the school will be conducted through online
From playlist Bangalore School on Statistical Physics - XII (ONLINE) 2021
MIT 16.412J Cognitive Robotics, Spring 2016 View the complete course: https://ocw.mit.edu/16-412JS16 Instructor: MIT students This is the sixth advanced lecture in the MIT 16.412 Cognitive Robotics of Spring 2016, led by MIT students. Students presented the research in reachability and it
From playlist MIT 16.412J Cognitive Robotics, Spring 2016
Markov processes and applications-4 by Hugo Touchette
PROGRAM : BANGALORE SCHOOL ON STATISTICAL PHYSICS - XII (ONLINE) ORGANIZERS : Abhishek Dhar (ICTS-TIFR, Bengaluru) and Sanjib Sabhapandit (RRI, Bengaluru) DATE : 28 June 2021 to 09 July 2021 VENUE : Online Due to the ongoing COVID-19 pandemic, the school will be conducted through online
From playlist Bangalore School on Statistical Physics - XII (ONLINE) 2021
The Geometry of Data Assimilation 2 : Lenny Smith
PROGRAM: Data Assimilation Research Program Venue: Centre for Applicable Mathematics-TIFR and Indian Institute of Science Dates: 04 - 23 July, 2011 DESCRIPTION: Data assimilation (DA) is a powerful and versatile method for combining observational data of a system with its dynamical mod
From playlist Data Assimilation Research Program
Two Dimensional Motion (4 of 4) Horizontal Projection, Worked Example
For two dimensional projectile motion shows how to determine the time in the air and the distance traveled for an object that is projected from a known height with a known initial velocity in the horizontal direction (x-direction). You can see a listing of all my videos at my website, htt
From playlist Mechanics
Feedback Control of Hybrid Dynamical Systems
Hybrid systems have become prevalent when describing complex systems that mix continuous and impulsive dynamics. Continuous dynamics usually govern the evolution of the physical variables in a system, while impulsive (or discrete) behavior is typically due to discrete events and abrupt cha
From playlist Complete lectures and talks: slides and audio