R[x]
the ∞ dimensional vector space of all real polynomials in x
R[x]n
the n+1 dimensional space of all real polynomials of degree at most n
inner product
(f,g) = ∫ f(x)g(x)k(x) dx from a to b
where k(x) is a fixed continuous function st k(x) >0 for all x in [a,b]
symmetric differential operator
if V is a real vector space with inner product ( , ) and L : V->V is a linear operator then L is symmetric/self adjoint with respect to the inner product if (Lv,w) = (v,Lw)
differential operator symmetric and its matrix
if V = R^n with standard inner product and L is represented by an nxn matrix M then L is symmetric (self adjoint) iff M is symmetric (M=M^t)
symmetric linear operator and eigenfunction
let {P0,P1…} be an orthonormal set of polynomials with respect to ( , ) Pj is of degree j and L is symmetric linear operator st LPj has degree ≤ j then Pj is an eigenfunction of L
LPj = λPj
how to write matrix representing L
do L on the basis and turn resulting polynomial into vectors
put vectors together to make M
M is upper triangular as when acting on x^n gives degree ≤n
eigenvalues on diagonal
can find eigenvectors then from this get eigenfunctions
hermitian
let V be a complex vector space
a linear operator L is said to be hermitian (self adjoint) if <Lu,v> = <u,Lv>
also La anti hermitian if <Lu,v> = - (<u,Lv>)*
powers of hermitian operators
if L hermitian operator L^n also hermitian
how to rewrite anti hermitian operator
if La anti hermitian La = iL for L hermitian
matrix and linear operator hermitian
if C^n with standard basis and standard inner product, a linear operator L is represented by a matrix M
M is hermitian (M=M*) iff L is hermitian
L hermitian and inner product
if L hermitian then <Lv,v> is real for all v
eigen values of hermitian operator
eigenvalues of hermitian operator are all real
La anti hermitian and inner product
if La is anti hermitian (La v,v) is purely imaginary for all v in V
2 hermitian operators on v
let L and m be hermitian operators on V then
4 |<Lmv,v>|^2 ≥ |<(Lm-mL)v,v|^2