Measure:
- Length of an interval: The length of an interval I is the difference of end points of the interval.
- Measure of a set: Let M be a collection of sets of real numbers and E ∈ M . Then non-negative extended real number mE is called the measure of E. if m satisfies:
(a) mE is defined for each set E of real numbers. i.e.,
M = P(R), the power set of sets of real number.
(b) For an interval I, mI = l(I).
(c) If <En> is a sequence of disjoint sets
(for which m is defined) in M .
m(∪En) = ΣmEn.
(d) m is translation invariant, i.e., if E is the set on which m is defined, and
E + y = {x + y : x ∈ E} then m(E + y) = mE. - Countable additive measure: let M be a σ-algebra of sets of real numbers and E ∈ M . Then non-negative extended real number mE is countable additive measure, if m(∪En) = ΣmEn for each sequence <En> of disjoint sets in M .
- Countable sub-additive measure: let M be a σ-algebra of sets of real numbers and E ∈ M . Then non-negative extended real number mE is countable sub-additive measure, if m(∪En) ≤ ΣmEn for each sequence <En> of disjoint sets in M .
Lebesgue Outer Measure: Let A be a set of real numbers, {In} be the countable collection of open intervals that covers A, i.e., A ⊂ ∪In. Then Lebesgue outer measure m*A of A is
m*A = Inf Σl(In) where A ⊂ ∪In
- Some Important Results:
(1) m*∅ = 0.
(2) A ⊂ B ⇒ m*A ≤ m*B.
(3) For singleton set {x}, m*{x} = 0.
(4) The Lebesgue outer measure of an interval is its length.
(5) If {An} is a countable collection of sets of real number. Then m*(∪An) ≤ m*An
(6) If A is countable then m*A = 0.
(7) The set [0, 1] is not countable.
Lebesgue Measurable Sets and Lebesguue Measure:
- Lebesgue measurable sets- A set E is Lebesgue measurable if for each set A we have m* A = m* (A∩E) + m* (A∩Ec).
- Lebesgue measure- If E is a Lebesgue measurable set, the Lebesgue measure mE is the Lebesgue outer measure of E.
- Some important Results:
(1) If m*E = 0, then E is Lebesgue measurable.
(2) If E1 and E2 are Lebesgue measurable, so E1 ∪ E2.
(3) The family M of Lebesgue measurable sets is an algebra of sets.
(4) The collection M of Lebesgue measurable sets is a σ-algebra.
(5) Every set with Lebesgue outer measure zero is Lebesgue measurable.
(6) The interval (a, ∞) is Lebesgue measurable.
(7) Every Boral set is Lebesgue measurable.
(8) Each open set and closed set is Lebesgue measurable.
(9) If <Ei> is a sequence of Lebesgue measurable set. Then for Lebesgue measure m(∪Ei) ≤ ΣmEi
If the sets Ei are pairwise disjoint the for Lebesgue measure m(∪Ei) = ΣmEi
(10) Let <En> be an infinite decreasing sequence of Lebesgue measurable sets, i.e., En+1 ⊂ En for each n. Let Lebesgue measure mE, is finite. Then
m(∪Ei) = lim mEn for all n = 1, . . . , ∞.
Littlewood's Three Principles:
(a) Every (measurable) set is nearly a finite union of intervals.
(b) Every (measurable) set is nearly continuous.
(c) Every convergent sequence of (measurable) function is nearly uniform convergent.
Jacobian Determinant:
If f = (f1 , f2 , … , fn) and x= (x1 , x2 , … , xn) the Jacobian matrix is Df (x) = [Difi(x)] on n × n matrix, and Jacobian determinant is
Jf(x) = det. Df (x) = det [Difi(x)].
(a) Every (measurable) set is nearly a finite union of intervals.
(b) Every (measurable) set is nearly continuous.
(c) Every convergent sequence of (measurable) function is nearly uniform convergent.
Jacobian Determinant:
If f = (f1 , f2 , … , fn) and x= (x1 , x2 , … , xn) the Jacobian matrix is Df (x) = [Difi(x)] on n × n matrix, and Jacobian determinant is
Jf(x) = det. Df (x) = det [Difi(x)].
No comments:
Post a Comment