How do you check if a set of functions is linearly independent ?
Saw this from an exam last year in a differential equations class. Any ideas on where to begin on this?
usually you want to make a matrix somehow and show that the determinant of that matrix is non-zero
Yeah after googling about linear independence just there, it something do with "wronskian"....I haven't done matrices in a long time haha!
I'm looking at this: http://tutorial.math.lamar.edu/Classes/LinAlg/LinearIndependence.aspx example 4, though I don't know what to do about the \(x\in(a,b)=(-1,1)\) part, or what that even has to do with determining linear independence here
it's been a while for me as well :P
Yeah I am watching videos about this wronskian, it's quite confusing and still don't get the point of what are they doing hahaha
check out the link \[\vec p_1=1\]\[\vec p_2=x\]\[\vec p_3=x^2\]the vector equation is then\[c_1+c_2x+c_3x^2=0+0x+0x^2\]you can do the determinant thingy here, but it's pretty clear by inspection that the only solution is the trivial one. hence the vectors are linearly independent
I found the solution to my question online, I didn't know the lecturer uploads solutions online, it's just confusing. I'll need to understand everything first before attempting it!!
you could also write\[[\vec p_1|\vec p_2|\vec p_3]=\left[\begin{matrix}c_1&0&0\\0&c_2&0\\0&0&c_3\end{matrix}\right]=\vec0\]and show that\[\left|\begin{matrix}c_1&0&0\\0&c_2&0\\0&0&c_3\end{matrix}\right|=c_1c_2c_3=0\iff c_1=c_2=c_3=0\]hence the trivial solution is the only one, which implies linear independence
not sure if that completely answer the part about the (-1,1) part though
I'll show you the solution to see if you can make sense of it!
ok, so the wronskian for a set of functions \(f_1,f_2,f_3\) is defined as\[W=\left|\begin{matrix}f_1&f_2&f_3\\f_1'&f_2'&f_3'\\f_1''&f_2''&f_3''\end{matrix}\right|\]and if the wronskian is non-zero, that means the functions are linearly independent that is, they form a fundamental set of solutions to some differential equation
http://tutorial.math.lamar.edu/Classes/DE/FundamentalSetsofSolutions.aspx http://tutorial.math.lamar.edu/Classes/DE/Wronskian.aspx
since \(f_1=1,f-2=x,f_3=x^2\) your solution should now make a bit more sense (hopefully)
\(f_2=x\) *
I'm trying to figure how do I know the matrix is nonzero or not.
do you remember how to take the determinant of a matrix?
a matrix is only zero of each element is zero we don't care about that here, we only care if the determinant of the matrix is zero
if each*
@turingtest So if I get the determinant of each term in the first row, it should equal zero?
the determinant of the entire matrix should NOT be zero if they are linearly independent
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