Square root of a matrix

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Square root of a matrix: definition and calculation using eigenvalues. What does it mean for a matrix to have a square root?

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With spectral calculus you can define any function of matrix. Either formally or by converging power series. 💪

danielmilyutin
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I don't like to be the one, but: 4:02 the matrix should be [4 -4; -4 4].
Great video doctor ;-)

Chester
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A very enthusiastic math teacher! Very rare these days!!!

michaelnobibux
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Now natural log of matrix Peyam ;)

so we can get sneaky introduction into Lie Groups :P

mildlyacidic
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[[1, 2], [2, 1]] is also a solution, so are the negative complements. So, there are 4 solutions in total.

FatihKarakurt
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Your enthusiasm is fun to watch. If I had only √ of it, I would be fine.

woowooNeedsFaith
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There is a small mistake in the number of "square roots" of a diagonalizable positive semi definite matrix A.
It would be 2^k, where k is the number of non-zero eigenvalues of A.

madcapprof
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this is the most excited dude in the whole YT

genekisayan
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The way I found one of the square roots of A = [[5, 4], [4, 5]] was by reasoning that it is some matrix R such that |R| times itself is |A| = 9. Which means |R| = 3 or -3. Then I guessed that [[1, 2], [2, 1]] worked, checked its determinant (which is -3), and then multiplied the matrix by itself, and it worked. This method of diagonalization you have demonstrated is a lot more intuitive!

GoingsOn
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You can do this other times, such as a rotation matrix a=[[cosø, -sinø], [sinø, cosø]] -> √a = [[cos(ø/2), -sin(ø/2)], [sin(ø/2), cos(ø/2)]], but it is unclear when you can do this.

piguyalamode
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You can also do this for other matrices but generally the answer is non-double. You need tu use sub-spaces stability arguments to get the answers.

etienneparcollet
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Try cubing it and call it matrix triology😂

eneapane
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I love the way you combine knowledge of both linear algebra and calculus to help solve knew math problems every time, I sure hope I can be as calm as you later in future and thanks for this video .

sam-kxty
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0:33 it should have been "if and only if y>=0" o0therwise
Square root of 4 can be -2 according to ur definition

sushmitamukherjee
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There is another positive solution, which is the matrix: [1 2 ; 2 1].

shmuelzehavi
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Find a polynomial p(x) such that p(y) = f(y) for all y, where y are eingenvalues of A, so p(A) = f(A), where f(x) is any function defined at the points x=y.

silasrodrigues
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That is so cool! Thanks for this linear algebra refresher.

I do have a question, how would you go about finding the other matrices that give B^2 = A?

tdiaz
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Thank you for the video. At 1:13 you mention there are N^2 square roots. Are there not 2^N square roots, obtained by independently choosing between the positive and negative square roots of each of the N eigenvalues?

danielfisher
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Doesn't it leave like n^2 (for nxn matrix) possibilities of square roots (just by this definition; over complex numbers?). Also why eigenvalues and not determinant afterall?

patrykszlufik
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Wow diagonalization really does wonders - and now you can generalize this for any fractional power of a matrix.

theproofessayist