Similar Matrices and Similarity Invariants | Linear Algebra
27K views · Jun 9, 2024 · Education
Comments · 14
@WrathofMath · 1 year ago · pinned
Support the production of this course by joining Wrath of Math to access all my Linear Algebra videos plus lecture notes at the premium tier!<br><a href="https://www.youtube.com/channel/UCyEKvaxi8mt9FMc62MHcliw/join">https://www.youtube.com/channel/UCyEKvaxi8mt9FMc62MHcliw/join</a><br>🛍 Check out my math fashion brand! <a href="https://mathshion.com/">https://mathshion.com/</a><br><br>Linear Algebra course: <a href="https://www.youtube.com/playlist?list=PLztBpqftvzxWT5z53AxSqkSaWDhAeToDG">https://www.youtube.com/playlist?list=PLztBpqftvzxWT5z53AxSqkSaWDhAeToDG</a><br>Linear Algebra exercises: <a href="https://www.youtube.com/playlist?list=PLztBpqftvzxVmiiFW7KtPwBpnHNkTVeJc">https://www.youtube.com/playlist?list=PLztBpqftvzxVmiiFW7KtPwBpnHNkTVeJc</a><br><br>Get the textbook for this course! <a href="https://amzn.to/45KYgmA">https://amzn.to/45KYgmA</a>
@PunmasterSTP · 2 years ago
And the biggest invariant of all...is the quality of these videos!
15
@SwapnilOmDas · 5 months ago
Excellent videos. Thank you!
@talastra · 2 years ago
phew ... what a density of information.
2
@lilyli2020 · 1 year ago
I don't understand why the inverse of P doesn't need to multiply by 1/det(P) = 1/0 = DNE. I thought that is part of the formula for inverse of matrices. Thanks :)
@AJAHANII · 2 years ago
Can you also use the formula BP=AP to show similarity for the 2 by 2 matrix
2
@amhmathcare · 1 year ago
Very helpful ❤ from Bangladesh
@user-wr4yl7tx3w · 2 years ago
When you say eigenspace are you referring to the eigenvectors?
2
@raulbeienheimer · 2 years ago
If I don't recall it wrongly, similarity can be viewed as an isomorphism?
Up next
Diagonalizing Matrices and Diagonalizability | Linear Algebra
Wrath of Math · 37K views
Eigenvectors and Eigenvalues of a Matrix | Linear Algebra
Wrath of Math · 27K views
Similar Matrices
MIT OpenCourseWare · 131K views
Diagonal Matrices and their Properties | Linear Algebra
Wrath of Math · 11K views
Orthogonal Matrices and their Properties | Linear Algebra
Wrath of Math · 28K views
Orthogonality and Orthonormality
Professor Dave Explains · 329K views
Linear transformations and matrices | Chapter 3, Essence of linear algebra
3Blue1Brown · 7.1M views
Give Me 30 min, I will make Linear Algebra Click Forever
Zachary Huang · 159K views
Similar matrices have the same characteristic polynomial
Prime Newtons · 15K views
Change of basis | Chapter 13, Essence of linear algebra
3Blue1Brown · 2.5M views
The Four Fundamental Subspaces and the Fundamental Theorem | Linear Algebra
Wrath of Math · 25K views
Finding Eigenvalues and Eigenvectors
Professor Dave Explains · 1.3M views
Crowd Goes WILD as Hikaru TRAPS Magnus Carlsen’s Queen
GM CHESS LESSONS · 92K views
Matrix Transformations and Linear Transformations | Linear Algebra
Wrath of Math · 44K views
Visualizing Diagonalization
QualityMathVisuals · 74K views
Symmetric Matrices and their Properties | Linear Algebra
Wrath of Math · 18K views
It's Over: Bonds COLLAPSE to WORST Levels Since 2002 - Netherlands BANS Microsoft
House of El · 234K views
Quadratic Forms in Matrix Notation | Linear Algebra
Wrath of Math · 18K views
L U = P A -Matrix Decomposition/Factoring
Prime Newtons · 101K views
The Riemann Hypothesis, Explained
Quanta Magazine · 7.1M views
Diagonalization and power of a matrix
Prime Newtons · 126K views
Eigenvectors and eigenvalues | Chapter 14, Essence of linear algebra
3Blue1Brown · 6.3M views
Linear Algebra - Lecture 17 - Matrix Transformations
James Hamblin · 257K views
The Insane Real Engineering of the Nazi Enigma Machine
Veritasium · 13M views
Matrices for General Linear Transformations | Linear Algebra
Wrath of Math · 12K views