Statistical Mechanics Lecture 1
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- čas přidán 15. 04. 2013
- (April 1, 2013) Leonard Susskind introduces statistical mechanics as one of the most universal disciplines in modern physics. He begins with a brief review of probability theory, and then presents the concepts of entropy and conservation of information.
Originally presented in the Stanford Continuing Studies Program.
Stanford University:
www.stanford.edu/
Continuing Studies Program:
csp.stanford.edu/
Stanford University Channel on CZcams:
/ stanford
"My life has consisted in learning and forgetting and learning and forgetting and learning and forgetting statistical mechanics". It incredibly lightens me to hear this from one of the greatest minds we had in history!
Jajaja I definitely agree
Where does he say this?
@@BritishProudnShit 9:55
*we have
Lies again? Soccer mom
0:00:00 to 0:10:10 - Introduction to course
0:10:11 to 0:19:48 - Mathematics of probabilities
0:19:49 to 0:36:22 - Techniques for determining probabilities (Symmetries, experimental data or the systems laws of motion)
0:36:22 to 0:40:18 - Questions
0:40:19 to 0:54:25 - Liouville's theorem (Conversation of information)
0:54:26 to 0:58:18 - Simple definition of entropy
0:58:19 to 1:07:17 - Generalizing to continuous mechanics
1:07:18 to 1:12:55 - First law of thermodynamics
1:12:56 to 1:38:09 - Expanding the definition of entropy + examples
1:38:10 to 1:47:38 - Questions
THANKS!
You’re a very nice guy, thanks!!
A million likes for it!
I miss you at the other lectures (other than 2)
You are the man!
I love the way Susskind talks about physics and even just talks in general. His background as a plumber I feel is a boon to the communication of physics; talking to people like they are a normal joe and a potential scientist. Everyone can have access to these ideas. And they can be simple and elegant.
this guy is just incredible
he's moving from calculus, probability, topology, classical mechanics, thermodynamics etc at will
using just words
And an expert on quantum statistical mechanics, John von Neuman was an expert on that too, so von Neumann was most probably one of Leonard Susskind's heroes.
All of the cycles he is describing to illustrate probabilities are aspects of the study of permutations in modern algebra (which itself is tied closely to group theory).
Why is Mike Ehrmantraut teaching statistical mechanics?
Because no more half measures.
+Nikifuj908 combined with John Malkovich
Guss told him to do it.
Wanted to rival Walt's prowess as a chemistry teacher.
All of the above. And more . . . .
personally i think that people don t understand the quality of what they are consuming here. like" FOR FREE"
you should praise those teachers
I love the fact that, unlike most profs, he doesn't rush and he takes time to explain ideas.
Not quite my tempo! Are you rushing or are you dragging?
Professor Leonard Susskind not just teaches these complex topics in a simple way, but he also motivates you.
嗯，老头讲的不错
few are able to explain with such a degree of clarity, thank you mr. Susskind
The concept is so clearly presented....
I love this lecture
Thank you Dr. Susskind and Stanford for generously sharing this with the world.
I always love to watch Sir Ben Kingsley.
Leonard Susskind, my favourite black physics student
?
@@iconsumedmt1350 His t-shirt
Ever since Gus Fring died, Mike Ehrmantraut has had to take up a side gig teaching statistical mechanics to make ends meet.
his examples and analogies, uffff! , how does he come up with such great ideas...
speed set to 1.25, then it's perfect.
lol HI FIVE !!!!
THANKS.. IT LOOKS LIKE HE TOOK COFFEE TOO MUCH
more like 2.75x
pff.. those are rookie numbers. 2x is perfect.
You saved me sooo much time sir.
I think no one can teach Physics better than Sir Leonard Susskind. He is amazing. He is a gift from Almighty God to us. I am a big fan. and one day i would want to take physical classes with Leonard. i think its my dream and it will come true very soon.
try v balakrishnan
I wish I could ever get a chance to take a part in this kind of lecture in Stanford
1:30:20 "Two is the smallest number which is not one" I really like this statement.
Very nice presentation with good examples. Thank you for sharing.
I just studied the quantum mechanics course and this looks even better :). I love the probability part, particularly the classes in the Markov chain as a conservation law. Is the relation between time spent at each state and probability a sort of baby ergodic theorem?
Very nicely explained. Easy to be good with such preparation and knowledge to impart.
the wealth of free information in the internet is astounding
I love how he takes his time explaining the main ideas. I wish my physics professors did that but because of either a lack of time, teaching ability or both, the material is rushed to the point I can barely understand anything in class. We would be better served with longer lectures like this I think.
I got a lecturer who just read from power point slides, I came to her class with zero and came out with zero. So sad 😢
I'm starting to think that online learning is much better... They don't bother to be precise nor specific enough for us to truly understand. I'm better off with my own research and resources, which much too often makes me ask the question: "What exactly am I paying for?". Basically, we study, research, and work out solutions on our own but pay for being bullied.
@@niamcd6604 agreed 👍
@@niamcd6604 The issue for me isn't that their not precise enough. It's that they try to fit too much into a lecture an hour or so long. If I try to understand an example that they work through in full mathematical detail by the time I have understood everything, they have covered the next 1 or 2 slides or are half way through the next example problem. Videos are much better for me because I can pause and rewind whenever I need to.
Zoom classes are the worst of both worlds because you get none of the benefits of videos and it is subpar compared to attending in person.
That's why if I ever become a teacher I'm going to create a You tube channel, so students can watch my lectures at their own leisure before or after class.
This is why the tution fees is extremely huge in comparison to my college I went. Nice lectures, challenging and optimistic preparing your brain to utilise the potential.
Amazing lecture, this will be my subway playlist!
Best line 😂:
2 is the smallest integer which is not equal to 1 .
What?
Can anybody explain whats the case with (-infinity)
@@balasujithpotineni8184 OK, smallest positive integer. Don't bother too much about that line.
@@balasujithpotineni8184 yes, -inf is less than 1. But when I hear "smaller", I think of the magnitude (absolute value). So 1 is both smaller and more than -inf, -inf is both larger and less than 1
@@kennyimammahardika3868 -inf isn't an integer.
I love this guy
Did anyone else laugh as hard as I did near the at the camera suddenly stopping and then zooming back in when Prof. Susskind asked if anyone had questions? It just looked to me like the lecture was all finished and the camera started zooming out like the video was about to end and the abrupt way he broke the silence followed by the camera stopping made it seem kinda like the camera person was surprised and thought "woops! He's still going. Better zoom back in."
I am yet too see the whole lecture
This professor is just the best!
lovely lecture. very informative..
About the evolution of the states of the colours, where they evolve each microsecond, surely how often the observations take place will determine the outcome, if you measure each 6th microsecond you will get one answer all the time and conclude 100% probability of some colour, in fact, depending on frequency and the phase of your observations the outcome will vary, you would either need a very fast rate of observation or a completely random sequence of observations as to not bias the results
I have seen the complete set of videos Statistical Mechanics by Susskind. I can highly recomend the book "Fundamentals of Statistical and Thermal Physics" by F.Reif. It is Briljiant together with Lennys vidoes.
Beautifully explained!
these lectures should be saved in a museum and protected for posterity. they are like a treasure of mankind
Just bought the classic text, The Principles of Statistical Mechanics by Tolman with so much excitement. And, it’s a hardback version from the 40’s! S. Chandrasekhar once recommended the text to his brother to study for physics. You can just sense that this is a master text. A subject that gives you the power to analyze mechanical systems when their initial states are known only partially ? Count me in.
Thanks for the book recommendation and story behind it :D
So... did you read it?
at 1:13:20 professor Susskind says that temperature is a highly derived quantity "despite the fact that you feel it with your body", so he points out the contradiction of how temperature feels intuitive despite being a more mathematically-derived concept with respect to more primitive concepts like energy.
the thing is, in fact, you don't feel temperature at all, you feel THE FLOW OF THERMAL ENERGY. if i'm not mistaken minutephysics has done a video about it too.
I always wonder what the camera operator thinks/how well they follow along during these recorded lectures.
Que lindo es tener este tipo de material a disposición de cualquiera que le interese y gratis!!
If he is right and statistical mechanics is the deepest aspect of physical reality, then I'd vote for Stirling's/de Moivre's approximation over Pythagoras' theorem or Euler's formula as the most important _practical_ result in all mathematics. Thanks Lenny.
Mathematicians invented and often manipulate the dirac delta function and it does appear in physics quite a bit e.g. the probability density function of photons of different frequency having their energy absorbed by a bound electron.
tyvm professor , very thorough but still easy to understand lecture
❤beautiful lesson and demonstration.Thank you very much Professor and class
Nobody does it better than Leonard "Leonardo" Susskind.
For those who have watched this series, can anyone give me a bit more information? Is this graduate level, and are all seven of these lectures a complete course?
That casual definition of a conservation law as the possibility space dividing up into cycles went by so quickly it didn't blow my mind until I rewatched.
Where??
great! absolutely loved it!
I had to watch this bc it has 666k views and I can never say no to hearing Mr Susskind lecture
İt was really an amazing lecture. i guess i will watch whole series :)
Watching these videos from Stanford and other prestigious universities; they don't seem much different than where I went to college and grad school. Just a plain old state school in Texas.
In many cases what separates the average student an elite university from the average student at a good state university is not necessarily that the former has vastly superior intellectual capabilities (although that is often true of their *best* students), but that elite university students have demonstrated great ambition and an incredible work ethic. The content of the classroom lectures is likely very similar, though the volume and difficulty of the problem sets and course projects is probably substantially different.
My own experience in taking and teaching courses as an undergraduate student at a good private university and a graduate student at a borderline-elite technical university was that the student bodies weren't that different entering as freshman, but that by graduation the latter were better at their craft due to the sheer volume of work completed during 4 years of frequent sleepless nights and the constant struggle to meet impossible deadlines and expectations.
It's certainly not for everyone, nor should it be. Many people aspire to obtain a stable, moderately high-paying job in an enjoyable profession, and to that end many universities will do a great job. The advantage of elite universities is building a network of people who will rise to high positions in society, as well as being surrounded by a culture which not only aspires to excellence, but demands it on a daily basis.
I think the main difference is more difficult exams.
@Nuclear Nadal I can go along with some of what you said except the part about sheer volume of work, impossible deadlines and sleepless nights. Give me a break. All college students go through that, not just the ones at elite universities. I sure did. I often wonder how my collegiate effort would have been received at an Ivy League institution, I always did whatever it took to make the grade. The coursework is harder you say? Well, I wouldn’t know but I’m sure even students at elite universities open their intermediate macroeconomics with calculus applications text books and have a good cry. My major was no picnic and I had some very bright classmates who were also pushed to their limits. A lot of us including me turned down admissions from more competitive institutions because our money went further elsewhere, not because we couldn’t gain admission. I turned down Rice and a classmate of mine declined the U. of Chicago. It’s just tough for me to imagine I would have put any more effort into my studies than I did. I’ll never know. Things are great for me. Over 30 years I’ve built a strong professional and social power base. Almost all of my friends are the same. Anyway, I’ve never regretted the decision I made.
Thanks for uploading this lecture.
Absolutely wonderful
Powerful speech professor, don't worry what happened at Berkeley last night brought Mr. Stephen Bannon 's name to public eyes!!
When you will be published other handouts of the courses after those of classical and quantum mechanics?
Do any of these courses cover Maxwell's relations, Clapeyrons equation, etc. ?
Mike, is that you?
just love the way you teach.
Love the shirt, Susskind is most definitely invited to the cook-out !
I had 3 semesters of Engineering Calculus and this brings back memories........ Bad Memories......
May I ask what was the textbook the video learning?
This is the most beautiful piece of music I found in CZcams
57:45 a cool definition of entropy
Leonard susskind is amazing teacher
statistical mechanism is what only if you left it and discover how deeply it has effected on other subjects that you will discover how beautiful it is
"You can predict the probability... but not when its going to happen" - the story of the market in a nutshell :)
Any one know of any good supplemental material to pair with these lectures? Like practice problems and such?
Thank god I found this series. My final is next week. I did not expect people to upload videos of upper division physics courses.
Did you pass?
For example, if you select a random number between 0 and 1, the total number of cases is infinity. Therefore, the probability to get exactly i = 0.5 (for example) is 1/infinity = 0.
You are correct about the PDF. I had a long paragraph together with this sentence; however, I decided to erase the paragraph. This little sentence, out of the context, was forgotten in the purge.
Very well explained, thank you.
What a fantastic alecturing
My first time watching a Susskind lecture, though I know he's a famous dude. Love the dad vibes, haha.
I'm not in college or anything, I just like to get drunk and watch these videos 👍
Many thanks for sharing Susskind's vast knowledge.
If i was at his age, i would be sitting somewhere near the beach and enjoy the sunshine breeze, but he chooses to teach, SO MUCH RESPECT!
I have a PhD in chemical engineering, and got a's in all of my courses, EXCEPT! graduate course in Statistical Mechanics. God, that was hard.
So you graduated with a 4.0 in the graduate course? I suspect that you are lying. Nobody brags about having a phD, especially in the sciences and engineering. We like to be behind the scenes. Also how are you allowed to take a graduate course in statistical mechanics with no pre requisites?
John von Neumann made a notable contribution to quantum statistical mechanics, which Leonard Susskind has been involved with, so maybe von Neumann is one of Leonard's heroes?
Stat Mech was one of my favorite courses in grad school. I remember being so impressed that you could make some statistical assumptions and end up with the ideal gas law.
1:27:00 is it different when we know nothing about probability distribution than the case when we know that each state has same probability.? Even in first case the probability was taken uniform..
Will i require any prerequisties or would these lectures be something that will help to learn the fundamentals / intro to statistical mechanics?
Hello, as for the prestigious lecture that sir leonard suskind gave can anyone put them in the exact order to someone how want to learn from from where to began & where to end .
Thank you so much
"I always start with coins, even when I teach Higgs Boson" Lol
Gr8 lecture professor
Hey guys! Looks like there is a lot of courses on this channel, but it's complicated to navigate through them. Page with playlists of this channel - is it the only one navigation?
Visit the website of theoretical minimum - www.theoreticalminimum.com
Great video!!!
1:44:45 No. Boltzmann didn‘t mean that. This is the Gibbs entropy. Boltzmann and Gibbs entropy only coincide in equilibrium.
Fantastic!
Great subject and great lecture!
No use
Is it correct to say then that functions of state are one-to-one functions and that "bad laws" are not? And can we say that they are bad because (mathematically) they are non-invertible?
What if the region in phase space collapsed into what would be a dirac delta function with the same area, but 0 momentum and an infinite number of possible positions?
My former math teacher would throw himself off a bridge if he saw What I am watching at 8 in the morning
Can anyone tell me why it is stated in the lecture that entropy is conserved? I've always thought that the entropy of the universe increased. It thought that was pretty much what 2nd law of thermodynamics stated. Anyway, please help me out here!!!
My only confusion after watching this wonderful lecture is why are their only 4000 likes, from 400,000 views? SMH.
I am not even a physics student but I study physics for recreation!!!
Ibn Sina r/iamverysmart
@@naderelsarrag r/iamveryunoriginal
@ibn sina.... what!!!!!! seriously,,,,,, we become fucked up by this. I'm a physics student
@@naderelsarrag huh?
wouldn't log m emerge from integrating 1/m pieces as the total probability?
What are the prerequisites before taking this class? Should I know QM and thermodynamics like the back of my hand?
I think just Advanced Classical Mechanics and QM-1 is good enough?
On my uni course we did thermo and QM before Stats mech
If you know classical thermodynamics it's so much easier to understand. It's just a different perspective on the same concepts.
Excellent explanation of the systems and states and the laws of thermodynamics and the stochastic processes used to determine the probability distributions and functions as the discrete and continuous distributions correlation
Dude in the back coughing would have the whole campus put into a quarantine tent 😂😂 in a 2021 lecture
Are there supplemental course materials to accompany these lectures? Problem sets? Exams? Stuff like that?
He mentioned Liouville's theorem that states that phase volume is constant. But how is it compatible with entropy change? Entropy is increasing in general so phase volume should be increasing. But theorem says that it's not possible.
1:43:00 The problem is ill-posed, "for its neighbors" should be replaced by "for the next coin". Otherwise, an outcome could influence the probability of the previous result which doesn't make sense.
It has bayesian sense I think
What is reference book for Statistical mechanics series of lectures?
I only have one question.
How long is a short piece of string?
About the -1 law of physics: what about quantum measurement? The information is lost there due to wave function collapse.
but the wave colapses as a pulse "particle" right?
30min could you use this law to to predict how a virus evolves through an algorithm through the probability of its chromosomes configuration ?