Search for notes by fellow students, in your own course and all over the country.
Browse our notes for titles which look like what you need, you can preview any of the notes via a sample of the contents. After you're happy these are the notes you're after simply pop them into your shopping cart.
Title: Functional Analysis
Description: Functional analysis helps to solve problems where the vector space is no longer finite-dimensional, a situation that arises very naturally in many concrete problems. Topics will include normed spaces, completeness, functionals, Hahn-Banach theorem, duality, operators; Lebesgue measure, measurable functions, integrability, completeness of Lᵖ spaces; Hilbert spaces; compact and self-adjoint operators; and the spectral theorem.
Description: Functional analysis helps to solve problems where the vector space is no longer finite-dimensional, a situation that arises very naturally in many concrete problems. Topics will include normed spaces, completeness, functionals, Hahn-Banach theorem, duality, operators; Lebesgue measure, measurable functions, integrability, completeness of Lᵖ spaces; Hilbert spaces; compact and self-adjoint operators; and the spectral theorem.
Document Preview
Extracts from the notes are below, to see the PDF you'll receive please use the links above
Theorem
...
If
F : X → Y is a linear map, then F is continuous
...
The case X = {0} is trivial
...
, am } be a basis for X
...
We choose kn,j , kj ∈ K, 1 ≤ j ≤ m, n ∈ N such that xn =
kn,j aj
j=1
and x =
m
P
kj aj
...
, m
...
(k
−
k
)F
(a
)
kF (xn ) − F (x)k = kF (xn − x)k =
n,j
j
j
j=1
j=1
Thus, F is continuous
...
If X is infinite dimensional and Y 6= 0, then there exists a linear map F : X → Y which
is not continuous
...
Let {an : n ∈ N} be a linearly independent set in X
...
If L = {xn : n ∈ N},
then we can find a basis B of X such that L ⊂ B
...
Since xn → 0 as n → ∞ and F (xn ) = y0 6= 0,
∀n ∈ N, F (xn ) 6→ F (0) = 0 as n → ∞
...
Theorem
...
Then, the
following conditions are equivalent
...
(ii) F is continuous at 0
...
(iv) F is uniformly continuous on X
...
(vi) The zero space Z(F ) of F is closed subspace of X and the linear map F˜ : X/Z(F ) → Y defined
by F˜ (x + Z(F )) = F (x), ∀x ∈ X is continuous
...
(i) ⇒(v) Let kF (x)k ≤ β, ∀x ∈ U (0, r), for some r > 0 and β > 0
...
x
kxk
r
Clearly, the above inequality holds for x = 0
...
Given > 0, we choose δ =
α,
so that
x, y ∈ X with kx − yk < δ ⇒ kF (x) − F (y)k = kF (x − y)k ≤ αkx − yk < α δ = α
=
...
(iv) ⇒(iii) Clearly, F is uniformly continuous on X ⇒ F is continuous on X
...
(ii) ⇒(i) Assume that F is continuous at 0
...
If we take r = 2δ , then U (0, r) ⊂ U (0, δ) and hence F is bounded on U (0, r)
...
Since Z(F ) = F −1 ({0}) and {0} is closed in Y , we get
that Z(F ) is closed in X
...
For arbitrary x ∈ X and arbitrary z ∈ Z(F ), we have
kF˜ (x + Z(F ))k = kF˜ (x + z + Z(F ))k = kF (x + z)k ≤ αkx + zk
...
α
Therefore, using (v), we get that F˜ is continuous
...
Then, using (v), there exists α > 0 such that
kF˜ (x + Z(F ))k ≤ α 9 x + Z(F )9, ∀x ∈ X
...
Hence the theorem follows
...
A function f : X → Y is a homeomorphism if f is one-to-one, f is continuous, and
f −1 : f (X) → X is continuous
...
Let F : X → Y be a linear transformation
...
(ii) If F is a homeomorphism from X onto Y , then X is complete iff Y is complete
...
(i) Every bijective linear map from X to Y is a homeomorphism
...
2
(iii) There exists a linear homeomorphism from K n onto X and X is complete with respect
to each norm
...
(a)(i) Assume that F is a homeomorphism
...
Then, by previous theorem, there exists α > 0 and γ > 0 such that
kF (x)k ≤ α kxk, ∀x ∈ X and kF −1 (F (x))k ≤ γkF (x)k, ∀x ∈ X
...
Conversely, assume that there exist positive reals α, β such that β kxk ≤ kF (x)k ≤ α kxk, ∀x ∈
X
...
If x1 , x2 ∈ X such that F (x1 ) = F (x2 ), then we have
β kx1 − x2 k ≤ kF (x1 ) − F (x2 )k = 0 ⇒ kx1 − x2 k = 0 ⇒ x1 = x2
...
Since
β kxk ≤ kF (x)k, ∀x ∈ X ⇒ kF −1 (F (x))k ≤ β −1 kF (x)k, ∀x ∈ X,
again using the previous theorem, we get that F −1 is continuous on F (X)
...
(a)(ii) Let F be a homeomorphism from X onto Y
...
If (yn ) is a Cauchy
sequence from Y , using that F : X → Y is onto, we find xn ∈ X such that F (xn ) = yn ,
∀n ∈ N
...
Therefore,
kxn − xm k = kF −1 (yn ) − F −1 (ym )k = kF −1 (yn − ym )k ≤ β kxn − xm k → 0 as m, n → ∞
...
Since X is complete, xn → x as n → ∞ for some
x ∈ X
...
Thus, Y is complete
...
(b)(i) If F : X → Y is a bijective linear map, then dim X = n = dim Y
...
So, by a theorem, we get that F and F −1
are continuous and hence F is a homeomorphism
...
Let k · k and
k · k0 be two norms on X
...
Then,
using (a)(i), there exists α > 0 and β > 0 such that β kxk ≤ kI(x)k0 = kxk0 ≤ α kxk, ∀x ∈ X
...
3
(b)(iii) Since dim X = n, there exists a basis {x1 , x2 ,
...
If {e1 , e2 ,
...
Since K n is complete, X is also complete with respect to all norms
...
Let X and Y be normed spaces and F : X → Y be a linear map such that the range
R(F ) of F is finite dimensional
...
Proof
...
If R(F ) 6= {0}, then
let {y1 , y2 ,
...
We choose xj ∈ X such that F (xj )yj , ∀j = 1, 2,
...
We
claim that Span {x1 + Z(F ), x2 + Z(F ),
...
Let x + Z(F ) ∈ X/Z(F ) be
arbitrary
...
j=1
Therefore, x + Z(F ) =
j=1
m
P
j=1
!
kj xj
j=1
+ Z(F ) =
m
P
j=1
(kj xj + Z(F )), hence the claim follows
...
If Z(F ) is closed in X, then X/Z(F ) is finite dimensional normed space
...
Therefore, by a theorem, we get Z(F ) is
closed in X iff F is continuous on X
...
A linear functional f on X is continuous iff Z(f ) is closed in X
...
Since the range of a linear functional f is at most 1, by previous corollary, we get that f is
continuous iff Z(f ) is closed in X
Title: Functional Analysis
Description: Functional analysis helps to solve problems where the vector space is no longer finite-dimensional, a situation that arises very naturally in many concrete problems. Topics will include normed spaces, completeness, functionals, Hahn-Banach theorem, duality, operators; Lebesgue measure, measurable functions, integrability, completeness of Lᵖ spaces; Hilbert spaces; compact and self-adjoint operators; and the spectral theorem.
Description: Functional analysis helps to solve problems where the vector space is no longer finite-dimensional, a situation that arises very naturally in many concrete problems. Topics will include normed spaces, completeness, functionals, Hahn-Banach theorem, duality, operators; Lebesgue measure, measurable functions, integrability, completeness of Lᵖ spaces; Hilbert spaces; compact and self-adjoint operators; and the spectral theorem.