Jordan Normal Form 2 | An Example

Описание к видео Jordan Normal Form 2 | An Example

📝 Find more here: https://tbsom.de/s/ov
👍 Support the channel on Steady: https://steadyhq.com/en/brightsideofm...
Other possibilities here: https://tbsom.de/sp
You can also support me via PayPal: https://paypal.me/brightmaths
Or via Ko-fi: https://ko-fi.com/thebrightsideofmath...
Or via Patreon:   / bsom  
Or via other methods: https://thebrightsideofmathematics.co...
Join this channel on YouTube:    / @brightsideofmaths  

💬 Access to the community forum: https://thebrightsideofmathematics.co...
🕚 Early access for videos: https://thebrightsideofmathematics.co...
❓ FAQ: https://thebrightsideofmathematics.co...
🛠️ What tools do you use: https://thebrightsideofmathematics.co...

Please consider to support me if this video was helpful such that I can continue to produce them :)
Each supporter gets access to the additional material. If you need more information, just send me an email: https://tbsom.de/s/mail

Watch the whole video series about Linear Algebra and download PDF versions, quizzes and exercises: https://tbsom.de/s/la
Supporting me via Steady is the best option for me and you. Please consider choosing a supporter package here: https://tbsom.de/s/subscribe

🌙 There is also a dark mode version of this video:    • Jordan Normal Form 2 | An Example [da...  
🔆 There is also a bright mode version of this video:    • Jordan Normal Form 2 | An Example  

🔆 To find the YouTube-Playlist, click here for the bright version:
🌙 And click here for the dark version of the playlist:

🙏 Thanks to all supporters! They are mentioned in the credits of the video :)

This is my video series about Linear Algebra. We talk about matrices, linear maps, eigenvalues, eigenvectors, basis, linear span, linear independent sets, and a lot more. I hope that it will help everyone who wants to learn about it.

x

00:00 Introduction
00:50 Recipe
01:33 Eigenvalues
05:11 Jordan normal form - possibilities
07:12 Eigenspace calculation
09:19 Conclusion

#LinearAlgebra
#Vectors
#Matrices
#MachineLearning
#Eigenvalues
#Calculus
#Mathematics

(This explanation fits to lectures for students in their first year of study: Mathematics for physicists, Mathematics for the natural science, Mathematics for engineers and so on)

For questions, you can contact me: https://steadyhq.com/en/backend/messa...

Комментарии

Информация по комментариям в разработке