Calculating dimension and basis of range and kernel

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Official supporters in this month:
- Petar Djurkovic
- Lukas Mührke

Here, I explain the typical calculation scheme for getting dimension and basis for the image/range and nullspace/kernel for a given matrix.

I hope that this helps students, pupils and others.

(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)
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Thank you for saving my educational life!

butterflyfilms
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Best video tackling image and kernel, thank you a lot!

khaleda.s
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This was helpful, thank you. My professor prefers to not give us simple tips like this for some odd reason.

fubarace
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The first part of explanation is awesome.
But I didn't understand the range part well since it includes some theory part.
I hope in the next video I could understand more about range

shilpar
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Basis of range and kernel? More like "Beautiful description for all!" Thanks for making such high-quality lectures.

PunmasterSTP
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When dimension of kernel will be zero and how it can be seen in matrix

mubasharmushtaq
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Great explanation, i have a question for the range, you just need to take 2 linearly independent vectors doesnt matter which duo in this case, you took 1st and 3rd, but u can take 2nd and 4th for the range T basis, as they are independent too right?I guess yes.

horemopik
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Hello thanks for the video.May I know if we want to obtain Range(A), whether we could use expression Range(A)=Span{[2, 4, 8]^T, [3, 1, 7]^T}?

lancelofjohn