this post was submitted on 23 Aug 2023
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[โ€“] anti_antidote@lemmy.zip 34 points 1 year ago (5 children)

Well let's break it down:

  • ๐Ÿ” + ๐Ÿ” + ๐Ÿ” = 18
    • 3๐Ÿ” = 18
    • ๐Ÿ” = 6
  • ๐Ÿ” + (๐ŸŸ โ€ข ๐ŸŸ) = 5
    • 6 + ๐ŸŸ^2 = 5
    • ๐ŸŸ^2 = -1
    • ๐ŸŸ = I
  • ๐Ÿฅค^๐ŸŸ - ๐Ÿฅค = 3
    • ๐Ÿฅค^i-1 = 3
    • ๐Ÿฅค = 3^1/(i-1)

Simple!

[โ€“] fri@compuverse.uk 27 points 1 year ago (2 children)

Wait, what happened in the second to last bullet point? You can't convert a power like that when subtracting (you can when dividing).

It's like you'd convert "2^4 - 2" into "2^(4-1)", which gives two different results (14 vs 8).

[โ€“] usrtrv@lemmy.ml 11 points 1 year ago* (last edited 1 year ago)

For those curious, I threw ๐Ÿฅค^i - ๐Ÿฅค = 3 into wolfram.

๐Ÿฅค โ‰ˆ -2.97983 + 0.0388569 i... or ๐Ÿฅค โ‰ˆ 0.27972 - 0.748461 i...

[โ€“] anti_antidote@lemmy.zip 3 points 1 year ago

You're right, idk what I was thinking there ๐Ÿ˜•

[โ€“] name_NULL111653@pawb.social 14 points 1 year ago

I think they're saying no one can give the real answer to this... which is technically true because the answer is imaginary.

[โ€“] Rin@lemm.ee 12 points 1 year ago (1 children)

you forgot the ยฑ when square rooting:

๐ŸŸ = ยฑi

this is because i ร— i = -1 and -i ร— -i = -1

[โ€“] anti_antidote@lemmy.zip 3 points 1 year ago

Bah, yes I forgot about that

[โ€“] ichmagrum@feddit.de 10 points 1 year ago* (last edited 1 year ago)

๐ŸŸ = I

Don't you mean ๐ŸŸ = i?

[โ€“] FoundTheVegan@kbin.social 2 points 1 year ago (1 children)

And just like that, I'm back to junior high grumbling about the concept of imaginary numbers.

Fuck you, y'all made up! ๐Ÿคฃ

[โ€“] anti_antidote@lemmy.zip 1 points 1 year ago

Lol I didn't quite get my math right, but it still involves imaginary numbers. Fun fact! Any 3D game you've played in the past probably quarter century doesn't just use 1 dimension of imaginary numbers, but 3 to represent 3D rotation! Quaternions are difficult to visualize since it's a 4-dimensional quantity but they're perfect for representing rotation in 3D space without suffering from gimbal lock like rotation matrices.