THEOREMS AND DEFINITIONS
CHAPTER 7
DEF. 245) Given a vector space V, a positive function ||·|| is said to be a norm if:
- i) ||v|| = 0 ⇒ v = 0
- ii) ||v + w|| ≤ ||v|| + ||w|| ∀v, w ∈ V
- iii) ||a⋅v|| = |a| ||v|| ∀a ∈ ℝ, ∀v ∈ V
DEF. 247) A vector space endowed with a norm ||·|| is called normed vector space.
LM. 248) Let (V, ||·||) be a normed vector space. The function d: V x V → ℝ defined by
d(v,w) = ||v - w|| ∀v, w ∈ V
is a distance, with two additional properties:
- i) Translation invariance (d(v+x, w+x) = d(v,w))
- ii) Homogeneity (d(αv, βw) = |αβ| d(v,w))
Not all distances in metric spaces are induced by norm
DEF. 252) A normed vector space whose metric is complete is called a Banach space.
LM. 257) We have |||v|| - ||w||| ≤ ||v - w||
PROP. 259) A linear operator T: V₁ → V₂ between N.V.S. is continuous at a point v ∈ V₁ ⇔ it is continuous on V₁.
DEF. 260) An operator T: V₁ → V₂ is called bounded if ∃K > 0 s.t. ||T(v)||₂ ≤ K||v||₁ ∀v ∈ V₁
LM. 261) A linear operator T: V₁ → V₂ between N.V.S. is bounded ⇒ the image of any bounded subset of V₁ is a bounded subset of V₂.
TH. 263) A linear operator T: V₁ → V₂ between N.V.S. is continuous ⇔ it is bounded,
DEF) The topological dual V* of a N.V.S. is the set
THEOREMS AND DEFINITIONS
CHAPTER 7
DEF. 245) Given a vector space V, a positive function ||.|| is said to be a norm if:
- i) ||v|| = 0 ⇒ v = 0
- ii) ||v+w|| ≤ ||v|| + ||w|| ∀v,w ∈ V
- iii) ||αv|| = |α| ||v|| ∀α ∈ ℝ, ∀v ∈ V
DEF. 247) A vector space endowed with a norm ||.|| is called a normed vector space.
LM. 248) Let (V, ||.||) be a normed vector space. The function d: V×V → ℝ defined by
- d(v,w) = ||v-w|| ∀v,w ∈ V
is a distance, with two additional properties:
- i) Translation invariance (d(v+x, w+x) = d(v,w))
- ii) Homogeneity (d(αv, αw) = |α| d(v,w))
Not all distances in metric spaces are induced by norms.
DEF. 252) A normed vector space whose metric is complete is called a Banach space.
LM. 257) We have ||v|| - ||w|| ≤ ||v-w||
PROP. 259) A linear operator T: V1 → V2 between N.V.S. is continuous at a point y ∈ V4 ⇔ it is continuous on V1.
DEF. 260) An operator T: V4 → V2 between N.V.S. is called bounded if ∃K>0 s.t.
- ||T(v)||2 ≤ K ||v||4 ∀v ∈ V4
LM. 261) A linear operator T: V4 → V2 between N.V.S. is bounded ⇒ the image of any bounded subset of V4 is a bounded subset of V2.
TH. 263) A linear operator T: V4 → V2 between N.V.S. is continuous ⇒ it is bounded.
DEF.) The topological dual V* of a N.V.S. is the set
OF ALL CONTINUOUS AND LINEAR FUNCTIONALS DEFINED ON V
IT IS A VECTOR SUBSPACE OF THE ALGEBRAIC DUAL V'. THE
DEFINITION IS ANALOGOUS FOR THE SET OF ALL CONTINUOUS
AND LINEAR OPERATORS BETWEEN N.V.S. V1 AND V2, B(V1,V2).
LM. 267) LET T∈B(V1, V2). THE SET
{k>0 | ‖T(v)‖2 ≤ k ‖v‖1 ; ∀ v ∈ V1}
HAS A MINIMUM.
PROP. 269) THE FUNCTIONAL ‖ · ‖ : B(V1, V2) →ℝ, DEFINED BY
‖T‖ = min {k ≥ 0 | ‖T(v)‖2 ≤ k‖v‖1, ∀ v ∈ V1}
IS A NORM.
PROP. 270) LET T ∈ B(V1, V2). IT HOLDS:
‖T‖ = sup{‖T(v)‖2‖v‖1} ∀v≠0
= sup{‖T(v)‖2}∀v: ‖v‖1 = 1
= sup{‖T(v)‖2}∀v∈S1
TH. 273) IF V2 IS A BANACH SPACE, ALSO THE N.V.S. B(V1, V2) IS
A BANACH SPACE.
PROPERTIES)
‖T + S‖ ≤ ‖T‖ + ‖S‖
‖TS‖ ≤ ‖T‖ ‖S‖
(S ∈ B(V1, V2), T ∈ B(V2, V3))
★ CHAPTER 8
DEF.) IN ITS GENERAL FORM, AN EQUATION CAN BE WRIT
AS
ℒ(x) = y0
DEF.) THE INVERSE CORRESPONDENCE ℒ-1 : 2X → Y IS DEFINED BY
ℒ-1(y) = {x∈X | ℒ(x) = y} ∀y∈Y
DEF.) ℒ IS WEAKLY INVERTIBLE AT y∈Y IF ℒ-1(y) IS NOT
EMPTY (I.E. ∃x SURJECTIVE W.R.T. y∈Y), ℒ IS INVERTIBLE
AT y∈Y IF ℒ-1(y) IS A SINGLETON (I.E. ∀ y BIJECTIVE W.R.T. y∈Y). IF THESE HOLD ∀ y∈Y, ℒ IS (WEAKLY) INVERTIBLE.
{IT IS WELL POSED IF → IS A CONTINUOUS FUNCTION
DEF.)
γ = ϑ(x; m)
effect  
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