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Cake day: June 12th, 2023

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  • Here you go: https://www.gnu.org/fun/jokes/unix.errors.html

    (% represents the csh, $ represents the bourne shell)
     
    % "How poorly would you rate the Unix (so-called) user interface?
    Unmatched ".
     
    % rm congressional-ethics
    rm: congressional-ethics nonexistent
     
    % ar m God
    ar: God does not exist
     
    % [Where is Jimmy Hoffa?
    Missing ].
     
    % ^How did the sex change^ operation go?
    Modifier failed.
     
    % If I had a ( for every $ Congress spent, what would I have?
    Too many ('s.
     
    %make love
    Make:  Don't know how to make love.  Stop.
     
    % sleep with me
    bad character
     
    % got a light?
    No match.
     
    % man: why did you get a divorce?
    man:: Too many arguments.
     
    % ^What is saccharine?
    Bad substitute.
     
    % \(-
    (-: Command not found.
     
    % sh
     
    $ PATH=pretending! /usr/ucb/which sense
    no sense in pretending
     
    $ drink <bottle; opener
    bottle: cannot open
    opener: not found
     
    $ mkdir matter; cat >matter
    matter: cannot create
     
     
    Or, in a System V (att) universe:
     
    $ cat "can of food"
    cat: cannot open can of food
    










  • jxk@sh.itjust.workstoScience Memes@mander.xyzeigenspaces
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    2 months ago

    You want an answer?

    So you’ve probably learned that if u is an eigenvector, then multiplying u by any scalar gives you another eigenvector with the same eigenvalue. That means that the set of all a*u where a is any scalar forms a 1-dimensional space (a line if this is a real vector space). This is an eigenspace of dimension one. The full definition of an eigenspace is as the set of all eigenvectors of a given eigenvalue. Now, if an eigenvalue has multiple independent eigenvectors, then the set of all eigenvectors for that eigenvalue is is still a linear space, but of dimension more than one. So for a real vector space, if an eigenvalue has two sets of independent eigenvectors, its eigenspace will be a 2-dimensional plane.

    That’s pretty much it.