#Arcsinus
24 messages · Page 1 of 1 (latest)
they are identical functions, they're just expressed differently to avoid confusion. sin^-1 does NOT mean sin raised to the power of -1, which would be 1/sin aka cosecant (csc).
the former 👍
it’s used to avoid notational confusion
but depending on the resources you’re using it will say sin^-1 or arcsin
At school we use sin^-1
That was my original question
they don't really have different usages, its just personal preference.
though in some fields one is preferred more than the other (aka programming almost always uses arc functions because the syntax is simpler)
I'm gonna do some trig hw cuz I heard it is hard and I like hard exercises
it certainly can be, requires a different thought process than algebra
personally i hate it (dont ask me why im doing a physics degree)
Wait is there a minimum age for this server? Cuz I see many adults.
just whats from TOS
(13 years)
Gemini: No, arcsin and sin^-1 are essentially the same thing. They both represent the inverse sine function, which takes a ratio (between -1 and 1) and returns the angle whose sine is that ratio.
The two notations are used interchangeably, and the choice often depends on personal preference or the specific context. However, it's important to note that the -1 superscript in sin^-1 does not mean the reciprocal of sin(x). It specifically denotes the inverse function.
are you ok
đź’€
its supposed to be
YES , arcsin and sin^-1 are essentially the same thing. They both represent the inverse sine function, which takes a ratio (between -1 and 1) and returns the angle whose sine is that ratio.
The two notations are used interchangeably, and the choice often depends on personal preference or the specific context. However, it's important to note that the -1 superscript in sin^-1 does not mean the reciprocal of sin(x). It specifically denotes the inverse function.
it's the inverse, for example say we have a vector space of linear operators from a vector space U to a vector space V as L(U,V) then the multiplication here can be defined as composition so let S, T be in L(U,U) then (S*T) (v)=S(T(v)) and clearly this has some correlation with the way we talk about usual inverses like 2 to 1/2.
Multiplication doesn't need to be defined in a vector space btw, but it's possible here