Intervals

Defenition


Let A ≤ R; A is said to be an interval if following condition is satisfied.

If a, b ∈ A with a < b, then
a < x < b ⇒ x ∈ A

Eg: A = {1, 2, 3, 4}
2, 3 ∈ A & 2 < 2.5 < 3 & 2.5 ∉ A

Therefore A is not an interval

Defenition


Let a < b
  1. (a, b) = {x | x ∈ ℝ & a < x < b} - Open Interval
  2. [a, b] = {x | x ∈ ℝ & a ≤ x ≤ b} - Closed Interval
  3. (a, b] = {x | x ∈ ℝ & a < x ≤ b} - Open & Closed Interval
  4. [a, b) = {x | x ∈ ℝ & a ≤ x < b} - Closed & Open Interval
For all the above 4 cases, the length of the interval is (b - a). There are intervals of infinite length.

Defenition


Let a ∈ ℝ
  1. (a, ∞) = {x | x ∈ ℝ & a < x}
  2. [a, ∞) = {x | x ∈ ℝ & a ≤ x}
  3. (-∞, a) = {x | x ∈ ℝ & a > x}
  4. (-∞, a] = {x | x ∈ ℝ & a ≥ x}

Defenition


Let x ∈ ℝ

The absolute value of x is the size of x. It's defined,


x if x ≥ 0
|x| {

-x if x < 0

Theorem


Let a > 0
  1. |x| < a ⇔ -a < x < a
  2. |x| ≤ a ⇔ -a ≤ x ≤ a
Now we can say;
{x | |x| < 5} = {x | -5 < x < 5} = (-5, 5)


Lemma


∀x ∈ ℝ, -|x| ≤ x ≤ |x|


Proof


If x = 0; this is trivial
So let x ≠ 0. Now |x| > 0
x ≤ |x| with |x| > 0

∴ -|x| ≤ x ≤ |x| from part ii. of the Theorem.

Triangle Inequality


∀x, y ∈ ℝ, |x + y| ≤ |x| + |y|

Proof


Let x, y ∈ ℝ

Case 1: |x| + |y| = 0
Then x = 0 = y, then the result is trivial

Case 2: |x| + |y| > 0
From the lemma;
-|x| ≤ x ≤ |x|
-|y| ≤ y ≤ |y|

∴ -(|x| + |y|) ≤ x + y ≤ |x| + |y|

from part ii. of the Theorem,
|x + y| ≤ |x| + |y|


Triangle Inequality - Alternative Version


∀x, y ∈ ℝ, |x| - |y| ≤ |x - y|

Proof


Take a = x - y; b = y

∀a, b ∈ ℝ |a + b| ≤ |a| + |b|

|(x - y) + y| ≤ |x - y| + |y|
|x + (-y + y)| ≤ |x - y| + |y|
|x| ≤ |x - y| + |y|

|x| - |y| ≤ |x - y|


Definition


  1. If ∃u ∈ ℝ s.t. x ≤ u ∀x ∈ A, We say that u is an upper bound of A. When this happens, A is said to be bounded above. A = (-∞, 5) → A is bounded above but not bounded below.
  2. If ∃v ∈ ℝ s.t. v ≤ x ∀x ∈ A, We say that v is a lower bound of A. When this happens, A is said to be bounded below. A = (3, ∞) → A is bounded below but not bounded above.
  3. If A is both bounded below & above, it is said to be bounded. A = (3, 5) → A is bounded.

Definition


Let A ≤ ℝ which is bounded above. Suppose ∃u0 ∈ ℝ with the following properties,
  1. u0 is an upper bound of A.
  2. If u is any upper bound of A; u0 ≤ u

Then we say that u0 is the Supremum of A & write u0 = sup(A)

Let A ≤ ℝ which is bounded below. Suppose ∃v0 ∈ ℝ with the following properties,
  1. v0 is the lower bound of A.
  2. If v is any lower bound of A, v ≤ v0
Then we say that v0 is the Infimum of A & write v0 = Inf(A)

Theorem


If a < b, then ∃r ∈ ℝ s.t. a < r < b

We can prove it using r = (a + b) / 2

Eg: Let A = [1, 2]
Prove that Sup(A) = 2

∀x ∈ A, x ≤ 2
∴ 2 is an upper bound of A. Let u be any upper bound of A.

Assume u < 2,
by theorem ∃r ∈ ℝ s.t. u < r < 2
1.5 ∈ A ⇒ 1.5 ≤ u
1.5 ≤ u < r < 2

∴ r ∈ A with u < r [Contradiction]
∴ 2 ≤ u
∴ 2 = Sup(A)


Completeness Property - I


Let A ≤ R which is bounded above. Then Sup(A) exists. Proof is omitted. In fact this can be never rigorously proven.

Completeness Property - II


Let A ≤ R which is bounded below. Then Inf(A) exists. Proof is omitted. But this can be rigorously proven by assuming the first one.

Comments

Popular posts from this blog

Python Laboratory Excersices

Mocking Point Clouds in ROS Rviz

Find Maximum Number in a Nested List Recursively