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Скачать или смотреть Abstract Linear Algebra 48 | Proof of Spectral Theorem [dark version]

  • The Bright Side of Mathematics
  • 2025-09-28
  • 536
Abstract Linear Algebra 48 | Proof of Spectral Theorem [dark version]
#MathsStudyingExplanationsLearningMathematicseliminationmatricesmetricsspacesfunctionalopenboundaryclosedclosurelimitssequenceBanachsequencesboundedcontinuouscompactsetHölderDualspectrumepsilon-deltanumberslimitsupinfopennessclosednessminorantreorderfunctionpointwiselyuniformlycontinuityepsilondeltacompositionlinearuniformfunctionslinearityvectorsvector spacelinear mapgaussian
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🌙 There is also a dark mode version of this video:    • Abstract Linear Algebra 48 | Proof of Spec...  
🔆 There is also a bright mode version of this video:    • Abstract Linear Algebra 48 | Proof of Spec...  

🔆 To find the YouTube-Playlist, click here for the bright version:    • Abstract Linear Algebra  
🌙 And click here for the dark version of the playlist:    • Abstract Linear Algebra [dark]  

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

This is my video series about Abstract Linear Algebra. It extends the Linear Algebra series by considering more general vector spaces. We will discuss abstract vector spaces, abstract inner products, the change-of-basis matrix,different bases, polynomial spaces, and so on. I hope that it will help everyone who wants to learn about it.
For any questions, please leave a comment or come to the community forum of the Bright Side of Mathematics: https://tbsom.de/s/community

00:00 Introduction
00:40 Statement: Spectral Theorem for Normal Matrices
01:37 Proof of first implication
04:15 Proof of second implication
06:15 How do normal triangular matrices look like?
08:31 Induction proof that normal triangular matrices are diagonal
12:06 Correction: here we already use w = 0 for the matrix product of R*R!
12:27 Using the induction hypothesis
13:45 Outro and credits

#LinearAlgebra
#FunctionalAnalysis
#Mathematics
#LearnMath
#calculus
#vectors

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

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