Limits of Sequences of Real Numbers�
Mr. V. V. Chandavale
Asst. Prof
Department of Mathematics
Raje Ramrao Mahavidyalaya, Jath
Sequences of Numbers
Definition
Examples
1
2
3
Index
Limits of Sequences
Definition
Examples
1
If a sequence has a finite limit, then we say that the sequence is convergent or that it converges. Otherwise it diverges and is divergent.
0
Index
0
Index
Limits of Sequences
2
3
Notation
The sequence (1,-2,3,-4,…) diverges.
Index
Computing Limits of Sequences (1)
Index
Computing Limits of Sequences (1)
Examples
1
2
1
n2
0
Index
Computing Limits of Sequences
Examples continued
3
Index
Formal Definition of Limits of Sequences
Definition
Example
Index
Immediate consequence of the formal definition of a sequence
Theorem
Proof
Suppose that lim xn=L . Take ϵ = 1 (any number works). Find N 1 so that whenever �n > N1 we have xn within 1 of L. Then apart from the finite set { a1, a2, ... , aN} all the terms of the sequence are bounded by L+ 1 and L - 1. �So an upper bound for the sequence is max {x1 , x2 , ... , xN , L+ 1 }. Similarly one can find a lower bound.���
Index
The Limit of a Sequence is UNIQUE
Theorem
Proof
∃N 1 ∈N:∀n∈N:n>N 1 :|L1 −xn|<ϵ
∃N 2 ∈N:∀n∈N:n>N 2 :| L2 −xn|<ϵ �if N=max{N 1 ,N 2 }, xn would be arbitrary close to L1 and arbitrary close to L2 at the same, it is impossible-this is the contradiction (Unless L1 =L2)
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Index
Limit of Sums
Theorem
Proof
Index
Limit of Sums
Proof
By the Triangle Inequality
Index
Limits of Products
The same argument as for sums can be used to prove the following result.
Theorem
Remark
Examples
Index
Squeeze Theorem for Sequences
Theorem
Proof
Index
Using the Squeeze/Pinching Theorem
Example
Solution
This is difficult to compute using the standard methods because n! is defined only if n is a natural number.
So the values of the sequence in question are not given by an elementary function to which we could apply tricks like L’Hospital’s Rule.
Here each term k/n < 1.
Index
Using the Squeeze Theorem
Problem
Solution
Index
Monotonous Sequences
Definition
The sequence (a1,a2,a3,…) is decreasing if an+1 ≤ an for all n.
A sequence (a1,a2,a3,…) is increasing if an ≤ an+1 for all n.
The sequence (a1,a2,a3,…) is monotonous if it is either increasing or decreasing.
Theorem
The sequence (a1,a2,a3,…) is bounded if there are numbers M and m such that m ≤ an ≤ M for all n.
A bounded monotonous sequence always has a finite limit.
Observe that it suffices to show that the theorem for increasing sequences (an) since if (an) is decreasing, then consider the increasing sequence (-an).
Index
Monotonous Sequences
Theorem
A bounded monotonous sequence always has a finite limit.
Proof
Let (a1,a2,a3,…) be an increasing bounded sequence.
Then the set {a1,a2,a3,…} is bounded from the above.
By the fact that the set of real numbers is complete, � s=sup {a1,a2,a3,…} �is finite.
Claim
Index
Monotonous Sequences
Theorem
A bounded monotonous sequence always has a finite limit.
Proof
Let (a1,a2,a3,…) be an increasing bounded sequence.
Let s=sup {a1,a2,a3,…}.
Claim
Proof of the Claim
Index