f∈L2([−π,π])
⟹
f∈C([−π,π])
FALSE
f∈C([−π,π])
⟹
f∈L2([−π,π])
TRUE
∥f−g∥L2([−π,π])=0
⟺
f(t)=g(t)
for every t∈R
FALSE (for almost every t)
Assume that f,g∈C([−π,π])
are 2π
-periodic functions. Then ∥f−g∥L2([−π,π])=0
⟺
f(t)=g(t)
for every t∈R
TRUE
The definition of the Fourier series applies to all functions in L1([−π,π])
.
TRUE
The definition of the Fourier series applies to all functions in L2([−π,π])
.
TRUE
The definition of the Fourier series applies to all functions in C([−π,π])
.
TRUE
If the Fourier series converges pointwise everywhere, the obtained function is 2π
-periodic.
TRUE
A trigonometric polynomial belongs to a subspace of L2([−π,π])
spanned by the functions ej(t)=eijt
, j=−n,…,n
for some n∈N
.
TRUE
The partial sum Snf
of a Fourier series is an orthogonal projection of the function f
to the subspace of L2([−π,π])
spanned by {ej}nj=−n
.
TRUE
The partial sum of a Fourier series gives the best approximation of a function in L2([−π,π])
with trigonometric polynomials.
TRUE
The statement that the partial sum of a Fourier series gives the best approximation of a function in L2([−π,π])
with trigonometric polynomials means that there does not exist a function in L2([−π,π])
, which would be closer to the original function in L2
-norm.
FALSE
L2([−π,π])
is an infinite dimensional vector space.
TRUE
The Fourier series of every function f∈L2([−π,π])
converges with respect to the L2
-norm.
TRUE
The statement that Snf
approximates a function f
in L2([−π,π])
means that, the error term ∥f−Snf∥L2([−π,π])
converges to zero as n→∞
.
TRUE
Fourier coefficients are coordinates of the function with respect to the basis {ej}j∈Z
, where ej(t)=eijt
.
TRUE
Every element f∈L2([−π,π])
is uniquely determined by its Fourier coefficients fˆ(j)
, j∈Z
.
TRUE
The Fourier coefficients fˆ(j)
of a function f∈L2([−π,π])
converge to zero as |j|→∞
.
TRUE
The Fourier coefficients fˆ(j)
of a function f∈L2([−π,π])
converge faster to zero as |j|→∞
if the function f
is smoother.
TRUE
The zero function is the only element in L2([−π,π])
, whose all Fourier coefficients are zero.
TRUE
Separation of variables is based on finding special solutions to the PDE as a product of functions so that each function depends only on one variable.
TRUE
Separation of variables applies to PDE problems on rectangular domains.
TRUE
Separation of variables is based on transforming a PDE to a system of ODEs.
TRUE
Separation of variables is based on finding solutions to the corresponding system of ODEs.
TRUE