Linear Algebra - Spectral Decomposition

[@daniellupercio7173]

This video and you're previous two videos are going to help my classmates and I solve these type of problems. It feels like our professor just threw us into a pool to learn how to swim ourselves.

[@arnoldyim4765]

Great! I'm glad this video helps.

[@daniellupercio7173]

@@k.s-o3124 that reminds me of my differential equations teacher. Who would do that, while also making up a problem on the spot 😂

[@utkarshmishra5863]

Same here, love from India ❤

[@theusualsuspect9076]

Thanks.i was looking for this topic

[@broke1677]

Thank you I understood it so quickly!

[@Youtubewatcher90378]

Thank you very much for this video, it made the topic very clear almost instantly.

[@simonezito5838]

super clean explanation!

[@TheRojo387]

The spectrum of a companion matrix to a characteristic polynomial is also the roots of that polynomial.

[@DDT-f8s]

U need to convert this to an udemy course... It's so good

[@arifsarkar7328]

very enlightening content, please mention some references in this regard.

[@blakeelzinga1168]

excellent. thank you

[@memeclips1725]

Thanks for making this🙏

[@tunianyakudya6296]

Good explanation thank u sir

[@이동진-z7v]

Gooood to understand

[@lonewolfgaming5245]

Thanks!

[@luwang6470]

Should A= PDP transpose instead of P inverse?

[@just_that_girl3873]

No, it is correct. The point of Eigen decomposition is that it can be powered quickly as PDPinverse raised to a high power equals PD^powerPinverse as P*Pinverse is the identity matrix and doesn't need to be computed. D is quick to power as it is a diagonal matrix so all entries will be raised to that power.

[@tengkupashakevinhusnadi4050]

Why my lecture thaught me this different like Ui is eigen vector divided by norm eigen vector. (Sorry my english kinda bad)

[@muchaczarna8891]

noob

[@sayhighthere]

I was rewatching Avengers: End Game.

[@wotizit]

Iron man