A sequence of real numbers is a convergent sequence with limit of a sequence when
Divergence to positive infinity means
In both definitions the same must control every later term. The second condition is not convergence to a real number.
Suppose . With tolerance , choose such that whenever . The triangle inequality gives for these terms. Set
An empty sum is zero. This finite satisfies for every , so every convergent sequence is a bounded sequence.
Put , so . By Bernoulli's inequality, , and hence
More explicitly, for choose an integer . For , the right-hand side is less than . Thus the geometric sequence has limit of a sequence zero, either directly by the definition or by the squeeze theorem.
Given , the two assumed limits of sequences supply thresholds such that for and for . For ,
Thus eventually, proving the squeeze theorem:
False. Take the positive sequence . Then
but , so it has no finite limit of a sequence. Successive ratios close to one do not prevent cumulative growth.
False. Take the positive geometric sequence . It tends to zero, while
A positive limit of a sequence would make the claim true since would then tend to , but positivity of each individual term does not exclude a zero limit of a sequence.
True. Since , there is such that for . Positivity then gives on this tail.
Fix . If , Bernoulli's inequality gives
For , this contradicts . Therefore eventually , proving
True. Choose such that for every . All the finitely many preceding terms are also positive. Define the positive minimum and finite maximum
Every term lies between and , so every ratio is at most . Consequently the required supremum satisfies
False. Choose the positive sequence
It has limit of a sequence one, but Bernoulli's inequality gives
Thus is not a bounded sequence.

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