In the
fractions “tend to ”. Sections 4.1 and 4.2
supplied the tools to say what that means without
leaving : an
absolute value to measure distance, and the Archimedean
property to make small. This section defines the limit of a
sequence in an arbitrary ordered field, with tolerances
taken from that field. It then proves that a sequence
has at most one limit, and that a convergent sequence is
bounded. Chapter 5 applies these results with , at a stage when
no other number system is available.
Throughout, is
an ordered field (Definition 2.3.2),
and is its set of positive elements, as
in Section 4.1; for this is . As agreed
after Proposition 4.2.1,
we write for
where
no confusion arises. So in
means , which exists and is positive, since by Proposition 4.2.1
(b) and reciprocals of positive elements are positive
(Proposition 2.5.2
(a)).
Sequences
A list is a rule that assigns a term to each
position, and a rule of that kind already has a name: a
function on .
Definition
4.3.1 (Sequence; Eventually)
A sequence in is a function (Sets, Relations, and Cardinality, Definition 1.4.1).
Its value at is
written and
called the -th
term; the sequence is written , or
, and is
its set of values.
A property
of natural numbers holds eventually if
there is such that
holds
for every with .
Examples.
- In : ,
with terms .
- In any : , that is,
, with
terms ; and , with the powers of Definition 4.2.1,
with terms . The second sequence has infinitely many
terms but only two values: its set of values is . A sequence
is ordered and may repeat; its set of values forgets
both.
- The degenerate case: a constant
sequence for a fixed . It matters
because every definition below must give the expected
answer on it.
- A sequence may be defined by recursion (Sets, Relations, and Cardinality, Theorem 2.3.1,
read on as Theorem 1.5.1
through Corollary 1.7.3
(b)). The Newton sequence of Example (A Rational Sequence Aimed at the Gap),
and , is a sequence in ; Section 4.6 studies
it.
Non-example by minimal change. The
formula defines no sequence: at it asks for , and has no inverse.
Everything else about the first example survives the
change, and only “a function on all of ” fails. This is why
the book’s sequences start at and why we write
.
“Eventually” absorbs any finite beginning. In , “”
holds eventually, from on, although it fails for ; “” does not hold
eventually, since it fails at every odd . Two eventual
properties hold together eventually: if holds for and for , then both hold
for , the larger of the two numbers, which
exists by trichotomy in (Theorem 1.6.1
(a)). The same goes for any finite number of properties,
taking the larger number one comparison at a time. For
infinitely many properties it fails: “”
holds eventually for each , from on, but no single serves every , since fails at .
The limit
of a sequence
We want a precise sense in which
“tends to ” in
. The first idea
is “the terms get closer and closer to ”. Here is why it fails.
With , Both distances shrink at every step, so the
terms get “closer and closer” to as well. What singles
out is that the
distance to falls
below any tolerance we name, and stays
below it, while the distance to never falls below . The tolerances must
come from itself,
since in there
is nothing else to measure with.
Every tolerance in is eventually
met.
Definition
4.3.2 (Limit of a Sequence in an Ordered
Field)
Let be a
sequence in and
. The
sequence converges to in , written , if for
every there exists
such that
for every with . In symbols,
Then is
a limit of . The sequence is
convergent if it converges to some
, and
divergent otherwise.
In words: the first clause hands us an arbitrary
tolerance , a positive
element of . The
second says that some index can be found, and it
may depend on . The third
says that from
on, every term lies within of : the inequality holds
eventually. The absolute value is that
of Definition 4.1.1,
and by Proposition 4.1.3
(d) the condition on each term reads
The domain of is part of
the definition. For , is a
rational number, and “ in ” mentions nothing
outside . The
formula is the one translated in Logic and Proof, Example (Five definitions, translated)
(a), where it was read in the school real numbers. Here
it is read in ,
and every fact used about it will be proved from the
ordered-field axioms.
Well-definedness. Nothing needs
checking for “converges to ”. We say
“a limit” for now, because a sequence
might have two; Theorem 4.3.4
below rules that out.
Negating the definition, quantifier by quantifier (Logic and Proof, Proposition 6.2.3
for the bounded quantifiers, Logic and Proof, Proposition 6.2.2
for the implication), and using that
means in the totally ordered (Proposition 4.1.2
(a)):
means One bad tolerance, and beyond every threshold
a term that misses it. A sequence is divergent when this
holds for every .
Example
(First Limits)
Decide, from Definition 4.3.2,
which of these converge, and to what.
- (a) A constant
sequence in
any ordered field .
- (b) in .
- (c) in
.
- (d) in any
ordered field .
Solution.
(a) . Let
and take . For every , . Here does not depend on
at all:
the degenerate case.
(b) . The field
is Archimedean
(Definition 4.2.2,
by Theorem 2.5.3).
Let . By Proposition 4.2.3
there is with for
every . For
also , so , where the absolute value drops
because . The
depends on , and
Archimedes is what supplies it.
(c) . By the
computation above the definition, . Given , take the of (b). For , ,
so .
(d) Divergent, in
every ordered field. By the recursion
for powers, (Proposition 2.3.2
(c)), and for every , by induction with Proposition 4.1.3
(b). Hence for every . Suppose for some . Take
and its , and let
, so
that and are both . The three-point
triangle inequality (Proposition 4.1.3
(e)) gives so , against (O1). So no is a limit. The
bad tolerance is : two consecutive terms are apart and cannot both
lie within of one
point.
Quick check. For in and ,
which
satisfy “ for every ”?
Solution. Exactly the . By the
comparison formula (Theorem 2.5.1
(a)), if and only if , that is,
. So every
works,
and an
fails at
itself, where . The definition asks only for
some working ; any larger one works
too.
Non-example by minimal change. Keep
the sequence and change the candidate limit from
to . The distance still shrinks at every step, and still the
definition fails, at its first clause: for ,
every term has , so no exists. This is the
negation displayed above, with and for every .
Why this definition.
- Strict or not. Replacing by gives the same notion: given , apply the
weak form to , and (Proposition 4.1.2
(b)).
- Every , not some. With “some ” the sequence
would
“converge” both to and to : beyond any there are terms equal
to each.
- The order of the quantifiers. With before , the
condition says that for every : for each such , lies below
every element of , so it is not
itself positive, and it is by Proposition 4.1.3
(a). (Exercise A1 (b) asks for the details.) Then would have no
limit in .
- Tolerances from . In a field with
more elements than , “every rational
tolerance is eventually met” can be strictly weaker than
“every tolerance in is eventually met”. The
remark after Proposition 4.3.1
shows this happen.
Warning. does
not say that some term equals : in (Example (First Limits)
(b)), and no term is . Nor does it say that
decreases: in has ,
so as soon as , and it tends to ; yet its terms run
, up and down, hitting at .
Two kinds of sequence get their own names, because
they recur throughout the rest of the chapter.
Definition
4.3.3 (Null Sequence)
A sequence
in is
null if .
Definition
4.3.4 (Bounded Sequence)
A sequence
in is
bounded if there
exists with
for every . Such an is a
bound for .
Examples. In , is null and
bounded by ; in
every , is bounded by
and not null (Example (First Limits)
(d)); a constant sequence is bounded by , which is
positive even when . Non-example. In the sequence is not bounded: for
any , Archimedes (Theorem 2.5.3)
gives
with . The bound is required to be positive
only for convenience, so that we may divide by it; any
that works
can be replaced by .
Archimedes
and the sequence 1/(n + 1)
In , came
straight from Archimedes. In a general ordered field,
the two statements turn out to be the same.
Proposition
4.3.1 (Archimedes as a Null Sequence)
The sequence is null in
if and only if
is
Archimedean.
Idea. One direction is Proposition 4.2.3
read as a limit. For the other, a field that is not
Archimedean has an element above every ; then every
is at
least , and
is a tolerance
that is never met.
Proof. Let be Archimedean and
. By Proposition 4.2.3
there is (depending on ) with for every . For also , so where the absolute value drops because the
term is positive. So the sequence is null.
We
prove the contrapositive. Suppose is not Archimedean.
Negating Definition 4.2.2
(Logic and Proof, Proposition 6.2.3,
and Proposition 4.1.2
(a) for ), there is with for
every . In
particular , so (Proposition 2.5.2
(a)). For every , (Proposition 4.2.1
(b)), so Proposition 4.1.2
(c) gives So for this no works, even with , and the sequence
is not null.
So in ,
the field of Example (A Non-Archimedean Ordered Field),
which is not Archimedean, does not tend
to : the tolerance
is never met.
In , is Example (First Limits)
(b), which rests on the Archimedean property; every
result proved without the Archimedean property holds in
as well.
Changing
finitely many terms
Whether a sequence converges, and to what, depends
only on its terms from some point on. Two forms of this
are used constantly: altering finitely many terms, and
dropping the first .
Proposition
4.3.2 (Only the Tail Matters)
Let and
be sequences
in , and .
- (a) If there is
with
for every
, then
if and
only if ;
in particular
is null if and only if is; and is bounded if and
only if
is.
- (b) For , the shifted
sequence converges to if and only if does.
Idea. For limits, a threshold for
one sequence becomes a threshold for the other once it
is pushed past ,
or moved by . For
bounds, the finitely many terms before are absorbed by a
finite maximum.
Proof.
- (a) Limits.
Suppose ,
and let . Choose with for every , and let . For , and . So . The hypothesis
is symmetric in the two sequences, so the converse
follows by exchanging them. The case is the statement
about null sequences.
Bounds. Suppose for every
, with . If , the two
sequences are equal. Otherwise let the maximum of finitely many elements of , which exists by Sets, Relations, and Cardinality, Proposition 2.3.8
(its proof works in any ordered field, as Sets,
Relations, and Cardinality, Section 2.6 remarks).
Then . For , because is one of the
listed elements; for , . So bounds . The converse is
the same with the sequences exchanged.
- (b) Suppose , and let , with as in the definition.
For , also
, so
. Hence converges to
, with the same
.
Conversely, suppose , and let
, with such that for every . Let . Then for the natural
number , and (Proposition 1.6.3
(a), (c)). So , and is a threshold for
. This proves
the proposition.
The shift clause is about convergence only; it is
used to start a sequence later, for instance to read a
formula such as , which needs , as the shift by
of a sequence
indexed from .
Section 4.5 adds the Cauchy property to clause (a).
One more reformulation moves every limit to .
Proposition
4.3.3 (Limits Through Null Sequences)
For a sequence in and : if and only if
the sequence is null.
Proof. For every , . So the two conditions of Definition 4.3.2,
for with
limit and for
with
limit , say word
for word the same thing, with the same for each .
A sequence
has at most one limit
If “the terms are eventually within every tolerance
of ” is to name
the number the sequence tends to, it
must single out one . It does.
Theorem
4.3.4 (Uniqueness of Limits)
Let be a
sequence in and
. If
and , then .
Try it first (ten minutes): suppose and with . Which makes the two
tails collide?
Idea. The natural first choice is
, positive because ; it is the choice
that worked in Logic and Proof, Proposition 6.2.5.
Beyond both thresholds a term is within of and of , and the triangle
inequality through yields only : true, and no contradiction. The two
tolerances add. So give each half: with
, the same chain ends in .
Proof. Let and , and suppose,
for a contradiction, that . Then , so (Proposition 4.1.3
(a)), and by Proposition 4.1.2
(b); it depends only on and . Since , there is with for every ; since , there is with for every . Let . Then both inequalities hold at this
, and the
three-point triangle inequality (Proposition 4.1.3
(e)), with by part (b) of the same
proposition, gives where the strict inequality is Proposition 2.3.5
(b) and the last equality is Proposition 4.1.2
(b). So , against (O1). Hence the assumption
is refuted,
and (Logic and Proof, Definition 2.5.1).
Since a convergent sequence has exactly one limit, we
may speak of the limit and write it
, or .
So
means the same as . In ,
Example (First Limits)
gives and , while names
nothing.
Convergent
sequences are bounded
A convergent sequence cannot run off: from some index
on, its terms are trapped near the limit, and only
finitely many terms come before that index.
Proposition
4.3.5 (Convergent Sequences Are Bounded)
Every convergent sequence in is bounded.
Idea. Use the definition once, with
the tolerance :
from some on,
. The terms before
are finitely
many, so one of them, or , is the
largest absolute value in sight.
Proof. Let . Applying Definition 4.3.2
with gives with for
every . For
such , the
triangle inequality (Proposition 4.1.3
(e), with and ) gives If ,
let . Otherwise let which exists by Sets, Relations, and Cardinality, Proposition 2.3.8
in the totally ordered (as in the proof of Proposition 4.3.2).
In both cases , by Proposition 4.1.3
(a), so . For , because is one of the
listed elements; for , . So bounds .
The bound
depends on the whole sequence, through , and the first terms, but on no
tolerance: it is one element of , fixed once. Section
4.4 uses exactly that, in the product of two limits. The
converse fails: is bounded by
and divergent (Example (First Limits)
(d)).
Exercises
A. Check your
understanding
Exercise
(A1)
- (a) Write “” in
symbols, and name the law used at each step.
- (b) What does say about ? Does satisfy it in
, with ?
- (c) For in
, find the least
that works in Definition 4.3.2
for the limit and
.
Solution.
(a) Start from
. The bounded negation laws (Logic and Proof, Proposition 6.2.3
(a), then (b), then (a)) move past the three
quantifiers, turning each into and the into . That leaves
, which is by Logic and Proof, Proposition 6.2.2.
Finally is , by trichotomy in (Proposition 4.1.2
(a)). The result:
(b) It says that
for every
: the
sequence is eventually constant, equal to . Indeed, fix . Then for every . If , then is in (Proposition 4.1.3
(a)) and gives , against (O1); so . This is the
argument of Logic and Proof, Proposition 6.2.5,
rerun in for one
at a time (no
halving is needed: only one tolerance is in play).
Conversely, an eventually constant sequence satisfies
the formula, since . The sequence does not
satisfy it: no term equals . It converges to , but its must depend on . The
quantifier order is the whole difference.
(c) , so . By the comparison formula, if
and only if , that is, . So works, and every fails at (which is ), where .
The least is
.
B. Practice
Exercise
(B1)
Prove from Definition 4.3.2
that, in , Say exactly where the Archimedean property is
used.
Solution. First limit. As
in A1 (c), . Let . Since is Archimedean (Theorem 2.5.3),
Proposition 4.2.3
gives , depending on , with for
every . For
, , so the
distance
is .
Second limit. Bring the difference to one
fraction: so the distance is . We bound
it by .
For , (Proposition 4.1.2
(d), applied to and ), so for
the left side is . So , and Proposition 4.1.2
(c) gives . With the of the first part,
every has
distance .
Where Archimedes is used. Only in obtaining
from , through Proposition 4.2.3.
The algebra of the distances holds in any ordered field.
In the same
algebra gives the same distances, and the proofs fail
exactly there: both take from , and by the proof of Proposition 4.3.1
with (Example (A Non-Archimedean Ordered Field))
no makes for
all .
Exercise
(B2)
Prove that if in ,
then . Show by an example that the converse
fails, and prove that it holds when .
Solution. Let , and choose with for . By the reverse triangle inequality (Proposition 4.1.3
(f)), for ,
So , with the same .
The converse fails for and : for every
, a constant
sequence, so (Example (First Limits)
(a)); but
converges to nothing (part (d) of that example).
For the
converse holds: , by Proposition 4.1.3
(a), since . So the two conditions coincide: a sequence
is null if and only if its absolute values form a null
sequence.
Solution. Bounded. By Example (A Non-Archimedean Ordered Field),
for every . Also (Proposition 4.2.1
(b), and ), so . And , so is a bound.
Not convergent. Suppose for some
. Take
, which is positive (Proposition 4.1.2
(b)), and its .
With ,
both and are , and by Definition 4.2.1
(a). The three-point triangle inequality gives against (O1). So the sequence diverges.
In .
No: by the non-example after Definition 4.3.4,
Archimedes puts some above any proposed
bound. The same sequence is bounded in one field and
unbounded in another. Boundedness is a property of the
sequence in , like convergence.
C. Going deeper
Exercise
(C1: A positive limit keeps the terms positive)
- (a) Prove that if
in and , then eventually;
in particular eventually.
- (b) Give a sequence
in with for every
whose limit is
not positive. What does this say about the converse of
(a)?
Solution.
(a) Let , which lies in by Proposition 4.1.2
(b), since . Choose with
for every .
By Proposition 4.1.3
(d), for such ,
where because (Proposition 4.1.2
(b)). So for every .
(b) : every
term is positive, and the limit is (Example (First Limits)
(b)). So “every term positive” does not give “limit
positive”: the strict inequality is lost in the limit.
What survives is the weak inequality , proved in
Section 4.4.
Exercise
(C2: Find the error)
Here is an argument for Proposition 4.3.5.
Is the conclusion true? Is the argument correct? If not,
name the line that fails, say what makes it illegal, and
give a counterexample to the step. Then repair the
argument.
- Let .
(2) Take in the definition of the limit, and
let be the index
it provides. (3) Then for every , . (4) So
is a bound for .
Solution. The conclusion is
true: it is Proposition 4.3.5.
The argument is not correct.
The failing line is (3). The first
inequality is the triangle inequality and is fine. The
second uses “for every ”. Line (2) supplies it only for : it is the
bounded universal . Instantiating it at needs the line (bounded , Logic and Proof, Proposition 6.1.1),
and for no
such line is available. Line (3) cites a line that is
not there: entry (N9) of Logic and Proof, Example (What is not allowed).
Counterexample to the step. In , let and for , with . Then , and is a legitimate
choice in line (2) for , since
for . At , line (3) claims , but ; and the of line (4) is not a bound. No counterexample
to the conclusion exists: is a bound.
Repair. Keep line (3) for only, and take
, the finite maximum of the proof of Proposition 4.3.5.
Marking scheme. (10 points) - 2:
says that the conclusion is true and the argument is not
correct. - 3: names line (3) and the use of for
, where the
hypothesis does not apply (bounded used outside its
range; entry (N9)). - 3: gives a convergent sequence and
a legitimate for
which the step’s inequality fails at some , and checks it.
- 2: repairs the argument with a finite maximum over the
terms before .
Fatal errors (0 for the step): declaring the conclusion
false; offering a counterexample to the conclusion;
blaming the triangle inequality.