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Great, so we want the axes {(tx,ty)}\{(tx,ty)\} and {(−ty,tx)}\{(-ty,tx)\} to be orthogonal.

To formalize this, it'll be easier to define orthogonal vectors/directions instead. Intuitively, and ignoring bad division by zero cases, vectors (a,b)(a,b) and (c,d)(c,d) should be orthogonal if for some nonzero vector (x,y)(x,y), we have b/a=y/xb/a = y/x and d/c=x/(−y)d/c = x/(-y), which is basically equivalent to b/a=−c/db/a = -c/d, or more simply, ac+bd=0ac+bd = 0.

This will be our definition: two vectors (a,b)(a,b) and (c,d)(c,d) are orthogonal iff ac+bd=0ac+bd = 0.

Similarly, two lines/rays are orthogonal iff their direction vectors are orthogonal.

Type a concept, like “slope” or “photosynthesis”.

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