@@RazvanGabor Greetings, it is the math itself which is abstract, since it relies on logic and theorems. Coincidentally, it very well explains many of the things and behaviors that happen or exist in real life, such as the way a system responds to frequency in this case. The matlab library that plots frequency response probably uses an algorithm that employs the fourier transform itsef somehow. In terms of measuring equipment, oscilloscopes (amplitude vs time) and spectrum analyzers (amplitude vs frequency) use complex circuitry to sample and then plot these things. Hope that helps. Cheers 🍻
@@bk-sl8ee Hello. Depending on your level and the languages you speak, there are several in math and physics which I happen to enjoy: - Frederick Schüller (German lecturing IN ENGLISH in Physics and math for physics grads, working at the perimeter institute) - Pavel Grinfeld's MathTheBeautiful channel, and his books. Vectors, tensors, with AND without coordinate systems - BlackPenRedPen for quick problems in math (integrals, sequences, series, complex numbers, differential equations) - Leonard Susskind's lectures at Stanford - Walter Lewin's own. He has a true pedagogical talent and the lectures are quite entertaining. He's the real life Dr "Doc" Emett Brown from Back to the Future, if you know the movies (the movie character is not inspired by him but.. the character is very close to lewin) - Michael Penn for maths, he proves almost everything, very good stuff. - (In French) Etienne Parizot (Math for Physics, Special Relativity, Quantum mechanics) - (In French) Electronics, classical mechanics (no Lagrangian or Hamiltonian): "E-Learning Physique" from a professor at a reputed institution. - (in German) "Urknall Welt und das Leben" channel and especially its series "Von Aristoteles zur String Theorie" with calculations and insights provided by theoretical Physicist Josef Gaßner Then, books😁 I'd like some input from other people if possible if you have interesting channels in: - classical electrodynamics (up to antennas included) - electronics - nuclear physics - particle physics - theoretical lectures on black holes - quantum electrodynamics Any help would be much appreciated How my answer helps refine your choices of teachers on YT😊
@George gabriel as well as the best channel in terms of properly understanding the knowledge of said fields through rigorous philosophical application and interpretation. This channel is truly a blessing and amazing to be able to deal with very difficult concepts from very different disciplines; from the hard sciences, to the different mathematical and analytical logic/languages that describes these hard sciences, through philisophical metaphysical and epistemoligical implications/understandings of said phenomena and synthesize them together quite neatly in order to present a comprehensive and cohesive understanding of the nature of our reality, and then presents said almost often unintelligible material (although also demonstrates a mastery level of said material) quite nicely through very easy to understand presentations for the layman without compromising accuracy and truthfulness of the material.
Can confirm. Some videos have an enormous replay value, in an unlikely event of one becoming smarter few years later. Unlike the latest video about some smartphone that is outdated one week after
Excellent use of computer graphics to connect an intuitive "ball and spring" model to an abstract frequency response graph. I've dreamed about using computer graphics to teach math since at least high school, but couldn't do the computer graphics because I couldn't do the math because I didn't have computer graphics helping me understand the math behind computer graphics.
I am from Iraq, a physics student at Mustansiriya University. This channel has helped me a lot and I respect all its topics. Thank you to the staff. This channel
When you're interested in DSP (Digital Signal Processing), you need to understand time domain vs frequency domain, Fourier transform, and converting unit impulse response to frequency response and vice-versa.
Wow...thank you so much. This is the most incredible youtube channel I have seen and it has allowed me to gain such a deep understanding of physics and mathematics! Thank you Eugene!
This is most opportune! I have an exam this Monday that covers this topic and I've been having a hard time grasping it. This video has been very useful
Eugene,have been following your videos for a long time. As an Electronics Engineer, I can only marvel at the fact how simple you make tough concepts of Signal Processing so easily understandable to us. Thanks a lot! Please keep on making such wonderful videos. I wish I knew the art of making such videos, because I have a lot of ideas which can be effectively conveyed (especially in Finance and Economics).
0:40 I programmed an audio filter using this concept many years ago. I didn't even know the maths of a filter but it worked fine! Fantastic videos, Eugene.
This channel has gold content, sometimes, it feels bad RU-vid doesn't recommend such content and you have to find it yourself. It is quite difficult to understand abstract topics and these visualizations help a lot! I could not understand the concept of frequency response the video started the dawn of understanding and now I am willing to learn! Thanks a lot Eugene!!
Amazing creation ...✨ I was egarly waiting for your next video. My favourite channel ❤️ It is a great thing that you are helping Physics lovers like me to go in depth of this beautiful subject. And also making others to love Physics.
“Like” is too weak a term. “Am grateful for” is a little closer. Becoming a Patreon as soon as I finish typing this. You are doing unmitigated good for the world
@@EugeneKhutoryansky Oh 😳 you mean to say that even at the resonant frequency, it is not necessary that the system will be damaged. Only the amplitude is maximum at resonant frequency; breaking of the system is an exceptional case?
Yes, the amplitude is a maximum at the resonant frequency, and whether or not the system will break depends on whether or not it can handle this amplitude. If there is no damping, then the amplitude at the resonant input frequency would theoretically reach infinity.
@@EugeneKhutoryansky Wow. 😱😱 Thank you very much my mentor for giving me this precious conceptual sentence . "If there is no damping in the system, the amplitude at the resonant input frequency will theoretically reach infinity." 💖💖💖💖💖💖💚💚
Speaking of frequency analysis, here is a trivia tidbit for history buffs - 1940's bombshell actress Hedy Lamarr was as smart as she was beautiful ... she was credited with the invention of Frequency Agile communications, which she used as a way to posit a new secure wireless guidance system for torpedoes for the US Navy during the desperate early years of WWII. She was ahead of her time, and it took the Navy many months to implement it. In later decades it formed the basis for a variety of encrypted communications including electronic warfare (jam-resistant radar IFF & guidance, et al). Her bio is a fascinating read - google her on wikipedia.
It is a humble request to the owner of this wonderful & unique channel, that, please try making videos on MAL and MAP detection/estimation, concepts related to digital signal processing, random processes, power spectral density, DFT, FFT, etc. I will be waiting. Thank you very much 😊😊
Thanks for the compliment. I make my 3D animations with "Poser." Though, Poser does not have built in functions for complex variables. I had to create those myself.
Another great video !I still have doubt please respond. Poles of transfer function means resonant frequency of function ? If yes then it any system/circuit have freq of 50 Hz then how would you represent it in complex s= x + iy form ?
To calculate the frequency response, we enter s = (i)(w). This will have the highest amplitude where w is equal to the imaginary component of one of the poles, and w is equal to 2*pi*frequency.
The pole can have both a real component and an imaginary component. But, the frequency response is at a maximum when (i)(w) is equal to the imaginary component of the pole.
@@EugeneKhutoryansky I am confused in s=iw part. I can understand that as 50 Hz sine input can be represented as s=iw .but in what kind of input we represent with real part(x) of s=x+iw
The pole can have both a real component and an imaginary component. But, the frequency response is always H(iw), which is at a maximum when (iw) is equal to the imaginary component of the pole. We first calculate w = 2*pi*frequency, and then we calculate the transfer function H(s) at s= (iw).
Thanks for the compliment about my video. I make my 3D animations with Poser. I discuss how I make my 3D animations in my video at ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-6Hl5dvA88Uo.html
I make my 3D animations with "Poser." Though, Poser does not have any built in functions for complex variables. I had to write those myself. Thanks for the compliment.
Are transfer functions usually/always anti-symmetric across the real axis? What would it mean to have a transfer function that has a different magnitude with negative omega input frequency than it does with omega input frequency?
It' s a great explanation. Can you please show in the same way when we throw a stone into a pond. I Mean: to show the whole process mathematically and visually. Thanks
What is K? I feel like the end of that video showed some crazy phenomena happening in the graph at K = 4.0 Also wondering what are the components of s are... I’m guessing spring tension, length, spiral diameter? Pretty new to this over here
"s" is the frequency parameter, so Im(s) is the frequency. Re(s) is, well, the imaginary frequency, so exp(st) has both oscillatory and exponential behavior. The springs were all the same, with resonant frequency squared f^2=k/m, and damping ratio "g". The transfer function then goes like 1/sqrt( (2fg)^2+ (f^2-s^2)^2/s^2)
I explain Kirchhoff's Laws in my video at ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-m4jzgqZu-4s.html I explain Maxwell's Laws in my video at ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-9Tm2c6NJH4Y.html
All the music in this video is from the free RU-vid audio library, and the names of the songs are the following. Wedding_Invitation Wigs Fur_Elise_by_Beethoven
No, the real part of s is not omega. We first calculate w = 2*pi*frequency, and then we calculate the transfer function H(s) at s= (i)(w). In other words, we calculate H(iw). The output of this gives a complex number with a magnitude and a phase. Thanks.
First I would like to correct myself: 1:43 clearly shows that what I was referring to is the imaginary part and not the real part. I just thought it was omega because 1:27 said so. It suggested to me that changing the frequency would only move on that line, change the imaginary part of the input. So I thought that if changing the frequency can't move the input in the direction of the real component, what parameter other than the frequency would I have to change to get to those massive magnitudes that aren't on the original line? Maybe something about the mass, the stiffness of the spring, or the damping?
If we reduce the damping to zero, then the two locations where the magnitude is infinity will be on the imaginary axis, and it will be possible to pick a frequency such that |H(iw)| = infinity.
Those answers are not answerable by physics, it's really more philosophy. Either way, you would probably be more interested in a channel like Arvin Ash to answer those questions.
It relates to many applications i.e being studying mechanical engineering, I am gonna use this concept to prevent the parts of machines to break or fail due to mechanical vibrations. I hope you got it.
Not an engineer here. But doesn’t this concept explain why the infamous Tacoma Narrows bridge collapsed. The wind being the input frequency and the “gallop” of the bridge being the output frequency? So the engineering mistake was not accounting properly for the transfer function? Anyone can help me here?
David, yes you are basically correct. To be more precise, the wind created an input function which included frequency components at the resonant frequency.
@@Pseudify Yes you are right. They forgot to take the wind into account. You must have noticed that when high speed winds flow, they don't keep on flowing. The first high pressure wind slap move the bridge from its mean position to one extreme position, after that slap of wind the pressure suddenly drops down and the bridge moves (oscillates) to its other extreme position. I mean to say that like sound waves, winds also flow like waves, i.e, in the form of compressions and rarefactions of large wavelengths. I hope you got it. The solution to your problem is to simulate the wind analysis for that bridge. Thank you.
I make my 3D animations with "Poser." Though, Poser does not have built in functions for imaginary numbers and complex variables. I had to create those myself.