Over the
polynomial
has no root, and over the polynomial has none. Chapter
1 announced that over this stops: every
non-constant complex polynomial has a root. This section
proves it, and then reads off what it says about
factoring complex and real polynomials.
No argument from the field axioms alone can prove the
theorem. The field of Example (Rational and Integer Complex Numbers)
satisfies every field axiom, and it contains an element
with , just as does. Yet has no root in
it. If with , then comparing real and imaginary parts
(Definition 1.1.1),
and
, so or ( has no zero divisors,
Theorem 2.1.1 (f), and
). If , then , which no
rational satisfies (Number Systems: From to , Theorem 2.6.1).
If , then
,
impossible since (Number Systems: From to , Proposition 2.3.5
(e)). So the proof must use a property of that lacks. It is the
supremum property of Number Systems: From to , Chapter 5 (Number Systems: From to , Theorem 5.6.3).
The plan has two halves. First, attains a
smallest value on (Theorem 5.6.3).
Second, at any point where is not , some nearby point
gives a
smaller value (Lemma 5.6.5).
So at a point where the smallest value is attained,
must be . The first half is
where completeness is invoked directly (Steps 2 and 5);
the second half uses it only indirectly, through square
roots (see the remark after the minimum theorem).
Throughout, is
a polynomial in , and is its value at
(Definition 4.4.1).
Inequalities are between real numbers; the modulus is a non-negative
real (Definition 1.2.1).
Two
estimates
↺Second readingThe
facts about the modulus used in this
section
All of them are from Chapter 1. For : (Definition 1.2.1);
, and (Lemma 1.3.1);
, so by
induction on , and
only
for (Theorem 1.2.2 (d),
(e)); and
(Corollary 1.3.3
(b), (c)). For a real number the modulus is the absolute
value of Number Systems: From to , Chapter 4 (Proposition 1.2.1),
so the rules of Number Systems: From to , Proposition 4.1.3
apply to it.
Three facts about powers of non-negative reals are
used as well, each by induction on the exponent with Number Systems: From to , Proposition 2.3.5
(c): if , then ; if and , then ; if and , then .
The first estimate says that is large when
is large,
so the search for a smallest value can be confined to a
bounded region.
Lemma
5.6.1 (Growth of a Complex Polynomial)
Let with , so
. Let
Then for every with ,
In words: beyond the radius , the top term outweighs
all the others together, at least by half.
↺Second readingThe
proof: the top term against the rest
Proof. Let . Then , so for . Write with
(the sum recursion). By Corollary 1.3.3
(b) and Theorem 1.2.2 (d),
By Corollary 1.3.3
(c), which is the reverse triangle inequality (a) with
the second number negated, . Since
and , , so . Hence . Finally ,
since
and .
The second estimate replaces continuity, which this
volume does not have. It bounds how much can change between two
points of a bounded region, with an explicit
constant.
Lemma
5.6.2 (A Lipschitz Bound for a Complex
Polynomial)
Let and let with . Put Then for all with and .
In words: on the disc of radius , moves at most times as far as its
argument.
↺Second readingThe
proof: factor each difference of powers
Proof. Let .
Termwise (the sum rules (Σ1), (Σ2), (Σ4) of Lemma 4.1.1),
, and the term is . For , Lemma 1.1.4 gives
Each of the terms of the sum has
modulus . So
by Corollary 1.3.3
(b), and summing over with the same
corollary, .
This is the only “continuity” the proof below needs,
and it comes with a constant that can be computed.
Solution. Here , , , . So
and . For , . (Check of
the Lipschitz bound in one case: when .)
The
smallest value of the modulus is attained
We now look for a point where is smallest. The
infimum of the values exists by
completeness; the work is to find a point
at which it is attained. We trap such a
point in smaller and smaller squares.
For and with , let the closed square with lower-left corner and side
. (In this section
and are real numbers.
Chapter 3 uses the same letters for permutations, which
do not appear here.) Each such square contains its
corner, so it is non-empty. Its four
quarters, in this fixed order, are
Each quarter lies in the square, and every
point of the square lies in some quarter: or , and likewise for ,
since is a
total order on
(Number Systems: From to , Proposition 2.3.5
(i)).
Theorem
5.6.3 (The Modulus of a Complex Polynomial
Attains Its Minimum)
For every there is with for every .
Idea. Confine the search to one big
square by the
growth lemma. The infimum of over exists. Cut into four quarters:
the infimum over is the least of the
four infima, so some quarter has the
same infimum ; keep the first such
quarter, and repeat. We call this move keep the
quarter that keeps the infimum. The squares
shrink to a single point , which completeness
supplies as a supremum of corners. Near every square still
has points where is almost , and the Lipschitz
bound says is almost
the same; so . This is the bisection of Number Systems:
From to , Chapter 5, now
in the plane. Before reading on: why keep a quarter
whose infimum equals the square’s,
rather than a quarter containing a point where is
smallest?
Proof. If is a constant (including ), then for every
, and works.
Let , with leading coefficient , let be as in Lemma 5.6.1,
and let so .
Step 1 (a square that suffices). Let
. It contains . If , then or (Number Systems: From to , Proposition 4.1.3
(d)), so (Lemma 1.3.1), and
by Lemma 5.6.1,
Step 2 (the infimum; completeness, first
use). For a square , the set is non-empty and bounded
below by . So it
has an infimum
in (Sets, Relations, and Cardinality, Definition 2.6.5);
the fold after the proof derives this from the supremum
property. Two consequences are used: for
every ; and
for every there is with , since otherwise would
be a lower bound of larger than the
greatest one. If , then is a lower bound of
, so .
Step 3 (a quarter with the same
infimum). Let be a square and its
quarters. Each by Step 2. Let be the least of the
four numbers . Every lies in some
, so :
is a lower bound of , hence . So , and some
quarter has . Let be the
first quarter, in the fixed order, with
. This
is a rule: is a
function from squares to squares.
Step 4 (the nested squares).
Identify the square with
the triple . By Sets, Relations, and Cardinality, Theorem 2.3.1
(read on through Number Systems: From to , Corollary 1.7.3),
there is exactly one sequence of squares , , with as in Step 1 and
.
By induction on :
- , the power taken in (Number Systems: From to , Definition 4.2.1),
since each quarter has half the side;
- ,
where , by the choice of ;
-
and for all , since the
corner of a quarter is or and its far
edge
or . In
particular .
Step 5 (the common point; completeness,
second use). The set is non-empty and bounded above by (Step 4
with ). By Number Systems: From to , Theorem 5.6.3
it has a supremum (Number Systems: From to , Definition 5.6.1).
Fix . Then ,
and
is an upper bound of the set: for , by Step 4, and for , by Step 4 with the roles of and exchanged. So
for every . In the same way satisfies . Hence lies in every
.
Step 6 (the value at the common
point). For , and , so (Lemma 1.3.1).
Every point of
has modulus at most , by the same lemma. Let be the constant of Lemma 5.6.2
for .
Let with . By Number Systems: From to , Theorem 5.4.2
there is
with ; then by Number Systems: From to , Lemma 5.6.1,
so This
depends on (and on , through and ). Since , Step 2 gives
a point
with (: the
point is used
only inside this argument for this ). Both and lie in , so by
the triangle inequality (Theorem 1.3.2),
the Lipschitz bound and (2), As was arbitrary, :
otherwise would give
. Also , since
. So
.
Step 7 (the minimum over all of the
plane). Let . If , then . If , then by (1), since . This proves the theorem.
↺Second readingStep
2: why the infimum exists
Let be non-empty and bounded below by , and let be the set of lower
bounds of . Then
, and every
element of is an
upper bound of ,
so is non-empty
and bounded above; by Number Systems: From to , Theorem 5.6.3
it has a supremum
(Number Systems: From to , Definition 5.6.1).
Each is an
upper bound of ,
so : is a lower bound of
. Each lower bound
of is in , so . Thus is the greatest lower
bound of , its
infimum in the sense of Sets, Relations, and Cardinality, Definition 2.6.5.
The answer to the prompt. A quarter
containing a point where is smallest is
what the theorem is trying to prove exists, so it cannot
be used to choose quarters. The infimum of a quarter
always exists, by completeness, and Step 3 shows that
some quarter keeps it. Choosing “the first such quarter
in a fixed order” makes the step a rule, so the
recursion theorem applies and no choice is made at any
stage; compare Number Systems: From to , Example (Picking Representatives Is a Use of Choice),
where a proof that picks infinitely many objects without
a rule uses the axiom of choice.
Quick check. In Step 3, why does it
matter that there are only four
quarters?
Solution. The proof takes , the least of the
numbers . A finite list of real numbers has a
least element, so exists and equals one
of them; that is what produces a quarter with . With
infinitely many pieces, the infimum of their infima need
not be attained by any one piece.
A direction
in which the modulus decreases
The second half of the plan is algebra, together with
complex square roots (Proposition 1.4.1).
Near a point ,
write , with . If we can
choose the direction of so that points back
toward from , and so small that the
higher terms do not undo the gain, then decreases.
Dividing by ,
the first need is a for which has negative
real part.
Lemma
5.6.4 (A Direction with Negative Real
Part)
Let
with , and
let with
. Then there
is
with .
Try it first (ten minutes): for , find with . Then find with .
Idea. For , the four “axis”
directions already turn around: runs through
, and
. For
they do not:
for these four, and
has real part .
What works for is a square root of a direction that works
for : gives , and if , then . So odd
is handled by the
axes, and even by a square root of a direction for , which is strong
induction. Square roots of complex numbers come from
real square roots (Proposition 1.4.1),
so no polar form is needed.
↺Second readingThe
proof: the axes for odd k, a square root for even
k
Proof. We prove, by strong
induction on (Logic and Proof, Theorem 4.2.2,
on ),
the statement: if , then for every non-zero there is with . For there is nothing to prove. Let , assume the
statement for every smaller exponent, and let . By Number Systems: From to , Proposition 1.6.4
(d), or
for some
.
Case 1:
odd, . Since , the power laws (Proposition 1.1.3
(a)–(c)) give , and . So as runs through , the
products
run through
and (in
some order). If , one of and
is negative. If ,
then with
, and , : one of them has
negative real part.
Case 2:
even,
with . By the induction hypothesis for , there is with . Then , since otherwise . By Proposition 1.4.1
there is with
, and
(Proposition 1.1.3
(b)). So . This proves
the lemma.
With polar form one would take to be a -th root of . This
volume’s -th roots
of complex numbers (Theorem 1.6.2)
rest on the cosine and sine of Axiom 1.5.2, which
it borrows from analysis. The proof above uses only the
complex square roots of Proposition 1.4.1,
which Section 1.4 builds from the real square roots of
Number Systems: From to (Number Systems: From to , Proposition 6.1.4).
Quick check. For and , which gives ?
Solution. : ,
with real part . The others give , and , with real
parts .
Now the descent itself. Re-centering at is Theorem 5.4.3
of Section 5.4.
Lemma
5.6.5 (d’Alembert’s Lemma)
Let
be non-constant, and let with . Then there is with .
Idea. Expand around : , where is the first index
with . With , real and from the previous
lemma, the bracket is with . For small , is about with , and is of order , smaller than the
gain .
The proof fixes
first and then checks the inequality. Before reading
on: where is , the
first index with , used?
Proof. Let .
By Theorem 5.4.3
there are with , and
(the
leading coefficient of ). So the set of
with
contains , and it
has a least element (Sets, Relations, and Cardinality, Theorem 2.1.3):
, , and for .
Let . By Lemma 5.6.4
there is with
. Put Then (Lemma 1.3.1), so
.
Choose a real number with . It
depends only on ,
and . We show that
works.
The expansion. By Theorem 5.4.3
(c) with , and since for , where . Since
,
for
, so
(Corollary 1.3.3
(b)).
The main term. Let with . Since has real part
and
imaginary part , where the last step uses .
Also , and
because . Two non-negative
reals whose squares are in the order are in the same order (Number Systems: From to , Proposition 2.3.5
(g)), so
The choice of at work. Let . Then
, so (3) applies; and . Hence,
by Theorem 1.2.2 (d)
and the triangle inequality, the last step because and
.
This proves the lemma.
Where is
used. The index is the first non-zero
coefficient after , so the expansion has
no terms between and . A term
with
would be of order , larger than the gain
for
small , and in an
uncontrolled direction. And the direction lemma is
applied with this exponent .
Example
(One step of descent)
Run the proof of Lemma 5.6.5
for at , and compare with moving along the real
axis.
Solution. Here the expansion around
is itself: , , , . So and .
The direction. The proof of Lemma 5.6.4
for first finds a direction for : since , works, with . Then it takes a square root of ; the formula of
Proposition 1.4.1
(with , , ) gives .
The constants. , , , , so .
The new point. , and The proof’s bound is ,
and indeed .
The real axis. . Moving from to the right increases
; the
direction
chosen by the lemma decreases it. The direction
matters.
The
theorem, and complex polynomials
Theorem
5.6.6 (Fundamental Theorem of Algebra)
Every non-constant has a root in .
Proof. By Theorem 5.6.3
there is with for every . Suppose . By Lemma 5.6.5,
applied at , some has , a contradiction. So .
Chapter 1 announced the theorem for expressions
with and
. Such an
expression is the value at of the non-constant
polynomial (Definition 4.4.1),
so every complex polynomial expression of positive
degree has a root.
Corollary
5.6.7 (Complex Polynomials Split)
- (a) Every non-zero
splits
over (Definition 5.4.2):
with , the
leading coefficient of , and .
The multiplicities of the roots of add up to .
- (b) The irreducible
polynomials of are exactly those
of degree .
Proof.
(a) Let be the
distinct roots of
in , with
multiplicities . By Theorem 5.4.6,
with having no
root in . Then
, since
, and is constant, since a
non-constant
would have a root by Theorem 5.6.6.
A product of monic polynomials is monic (Theorem 4.3.2
(b)), so comparing leading coefficients, ; and comparing
degrees, . Writing each power as the
product of
factors
gives the displayed form.
(b) A polynomial
of degree is
irreducible (the examples after Definition 5.3.1).
Conversely, let
be irreducible over . Then , so has a root (Theorem 5.6.6),
and by
Theorem 5.1.3
(b). Since is
not constant, is
a non-zero constant, and .
Example
(Factoring a quartic over the reals and over the complex
numbers)
Factor
into linear factors over , and into irreducible
factors over .
Solution. Over . Since , . The formula of Proposition 1.4.1
gives the square roots: for (, , ), ; for (), . Here ,
since and (Number Systems: From to , Proposition 6.1.4).
Since and
(Proposition 1.4.1
(a)), expanding gives and , so
Over . Note and
.
Pair each root with its conjugate: since
and (Theorem 1.2.2
(c)). So which can be checked directly: the right side
is . Neither quadratic has a real root, since
for every , ; so both are irreducible over (Proposition 5.3.1
(b)). No polar form was used: only the square roots of
.
Quick check. Factor over and over .
Solution. (Lemma 1.1.4, or
expand). The quadratic has no real root, since for every
, , so this is the factorization
over (Proposition 5.3.1
(b)). Over : a
square root of
is , and
satisfy (expand:
, and ). They are distinct roots, so (Theorem 5.4.1);
both are monic of degree , so they are equal, and
.
Real
polynomials
A real polynomial is also a complex one, so it splits
over . The
question is what that says over . The answer comes
from conjugation: the non-real roots of a real
polynomial come in conjugate pairs, and each pair makes
a real quadratic factor.
For , write , the polynomial with conjugated
coefficients. A polynomial in is one in whose coefficients
are real (, Proposition 1.1.1).
Proposition
5.6.8 (Conjugate Roots of Real
Polynomials)
- (a) The map , , is a
ring homomorphism (Definition 4.4.2),
and for every and .
- (b) Let , , and . Then is a root of if and only if is, and .
Idea. Conjugating every coefficient
is a substitution homomorphism, so it respects sums,
products and powers, and it commutes with evaluation
once the point is conjugated too. A real polynomial is
its own conjugate; so conjugating a root, or a
factorization , gives a root, or a factorization ,
of the same polynomial.
Proof.
(a) Conjugation
preserves and
(Theorem 1.2.2 (a),
(b)) and sends to
, so it is a ring
homomorphism (see also Example (Conjugation and Other Automorphisms));
followed by the constants (Theorem 4.2.4
(b)) it is a ring homomorphism , a composite of two. By Theorem 4.4.2
with , and , the map is a ring homomorphism. For the
values, by induction with Theorem 1.2.2 (b),
and then, through the sum recursion with Theorem 1.2.2 (a),
(b), For real coefficients this is the computation
of Proposition 1.6.4.
(b) The
coefficients of
are real, so (Proposition 1.2.1:
for
). By (a),
, and if and only
if ( by Definition 1.2.1,
and conversely by Theorem 1.2.2
(a)); so is a
root exactly when is. Let . By Lemma 5.4.4
(a), with . Apply the homomorphism of (a): , and . By Lemma 5.4.4
(a) again, .
Quick check. The number is a root of .
Name the other root without computing, and factor the
polynomial over .
Solution. By Proposition 5.6.8
(b), is a root. The two roots are distinct, so
divides the polynomial (Theorem 5.4.1);
both are monic of degree , so . (Check: the product is .)
Corollary
5.6.9 (The Irreducible Real Polynomials)
A polynomial is irreducible over if and only if , or and has no real root.
Idea. An irreducible real
polynomial has a complex root by the theorem. A real
root splits off a real linear factor. A non-real root
brings its conjugate along, and the two together split
off the real quadratic , first in and then, because
division does not depend on the field, in . Irreducibility
leaves nothing else.
Proof. A polynomial
of degree is
irreducible, and one of degree without a root in is irreducible by Proposition 5.3.1
(b).
Let be
irreducible over . Then , and by Theorem 5.6.6,
, as an element of
, has a root
.
Case 1: . Then in (Theorem 5.1.3
(b), over ), so
with
; since
is not
constant, is
constant, and .
Case 2: . Then (Example (Conjugation and Other Automorphisms)),
and is
also a root (Proposition 5.6.8
(b)). So the two distinct roots give in (Theorem 5.4.1).
By Theorem 1.2.2 (c),
which has real coefficients. Since is a subfield of
(Example (Rational and Integer Complex Numbers)),
Proposition 5.2.6
(b) gives
in : with . Since is not constant, is constant, and . Finally has no real root: a
root would make ,
of degree ,
reducible (Proposition 5.3.1
(a)). This proves the corollary.
Theorem
5.6.10 (Factorization of Real
Polynomials)
Let
be non-constant, with leading coefficient . Then
for a list () of monic polynomials in , each of the form
with or a quadratic
with no real root. If entries are linear and
are quadratic,
then . The list is unique up to order, in the sense
of Theorem 5.3.6
(b).
Proof. By Theorem 5.3.6
(a) over ,
with monic irreducible , and the list is
unique up to order by part (b). By Corollary 5.6.9
each has degree
, so it is with (monic), or
degree with no
real root. Degrees add over a product (Theorem 4.3.2
(b), induction on ), so .
When the linear entries come first in the list, the
factorization reads , the
familiar form. (Reordering a list does not change its
product, by repeated use of commutativity; nothing below
needs this.) For ,
and (Example (Factoring a quartic over the reals and over the complex numbers)).
Corollary
5.6.11 (Real Polynomials of Odd Degree Have a
Real Root)
Every of odd degree has a root in .
Quick check. A real cubic has exactly one real
root . What are
, and ?
Solution. Every linear entry divides , so is a real root (Theorem 5.1.3
(b)); hence each linear entry is . Then is odd, so
(Number Systems: From to , Corollary 3.1.3
(a), as in the proof of Corollary 5.6.11),
and
or .
Multiplicities add over the list (Proposition 5.4.5):
a quadratic entry
has , so
, and , which is or . Examples: and .
Warning. Beyond degree , “no real root” does
not make a real polynomial irreducible. The polynomial
has no real
root, since for every , yet it is the
product of two real quadratics (Example (Factoring a quartic over the reals and over the complex numbers)).
Corollary 5.6.9
says that every irreducible real polynomial has degree
at most ; so a
real polynomial of degree or more is always
reducible, root or no root.
Exercises
A. Check your
understanding
Exercise
(A1)
These parts are about the proof of Theorem 5.6.3.
- (a) Where is the
completeness of
used?
- (b) Why does Step 3
take “the first quarter in a fixed
order” with the same infimum, rather than “a quarter”
with the same infimum?
- (c) Run Steps 1–4
for :
find , , , and .
- (d) Give the idea of
the proof in two sentences.
Solution.
(a) Directly,
twice: in Step 2, for the existence of each infimum
, and in Step
5, for the suprema and that give the
common point. Indirectly, through the real square roots
behind the modulus (Definition 1.2.1,
built on Number Systems: From to , Proposition 6.1.4),
which every inequality of the proof uses.
(b) “A quarter
with the same infimum” exists, but there may be several,
and naming one at each of infinitely many stages without
a rule is a use of the axiom of choice. “The first one
in a fixed order” is a rule, a function from squares to
squares, so Sets, Relations, and Cardinality, Theorem 2.3.1
defines the whole sequence at once.
(c) Here , , , so , , and
; hence and . The infimum is : , and with . The first
quarter of is
, which
contains (real
part ,
imaginary part ); so its infimum is , and . The
quarters of
have side . The
first, , has no point with small: for in it, , so
(Lemma 1.3.1), and
its infimum is at least . The second, , contains
, so its infimum
is , and .
(d) The infimum
of over a
big square is what we want to attain; halving keeps a
quarter with the same infimum, chosen by a rule. The
squares shrink to one point, and the Lipschitz bound
forces the value there to be the infimum.
B. Practice
Exercise
(B1)
Factor into irreducible factors over , over and over . Then factor over and over .
Solution. .
Expanding shows . Over : has no rational
root (Number Systems: From to , Theorem 2.6.1)
and has
none (, Number Systems: From to , Proposition 2.3.5
(e)), so both are irreducible (Proposition 5.3.1
(b)), and the factorization is . Over
: (Number Systems: From to , Proposition 6.1.4),
while still
has no real root: . Over : ,
so .
. By the warning of Section 5.3, , and for every ; so this is the
factorization over (Corollary 5.6.9).
Over : are the roots of
(, and
; then its conjugate, by Proposition 5.6.8
(b)), and
those of likewise. So , each quadratic being the product of its two
distinct linear factors (Theorem 5.4.1,
monic and of the same degree).
Exercise
(B2)
Run the proof of Lemma 5.6.5
for at
: find , , , , , , , and the new point , and compare with .
Solution. Expansion around
. Writing
and
expanding, , so and by the uniqueness in Theorem 5.4.3,
. So and .
Direction. is odd and ; gives . So , , .
Constants. , and
New point. , and . So , well inside the proof’s bound .
Exercise
(B3)
Let
have degree and
exactly one real root . What can the
multiplicity of
be, and how many quadratic factors without real root
does have? Give
an example for each possibility.
Solution. Factor
as in Theorem 5.6.10,
with linear and
quadratic
entries, . Each linear entry divides , so is a real root (Theorem 5.1.3
(b)); hence every linear entry is . Multiplicities add
over products (Proposition 5.4.5,
with induction on ); , a quadratic entry has and so , and the constant has multiplicity
. So . Since is odd, (Number Systems: From to , Corollary 3.1.3
(a), as in the proof of Corollary 5.6.11),
so the possibilities are , , : the multiplicity of is , or , with , or quadratic factors.
Examples with : , , .
Each has only the real root , since for every
.
C. Going deeper
Exercise
(C1: Exit check: the descent and the theorem)
Solution (Hint 1). Expand around and divide by . Which coefficient
after the constant one decides what happens near ?
Solution (Hint 2). Let be the least with , and fix a real
with before
estimating .
Solution.
(a) Let .
By Theorem 5.4.3,
with and ; let be the least with (Sets, Relations, and Cardinality, Theorem 2.1.3;
is such a ). Let , take
with (Lemma 5.6.4),
and put , (so ), , and (the last entry omitted if ). Then with , since for and for . With , and because (as ); two non-negative reals are ordered as
their squares (Number Systems: From to , Proposition 2.3.5
(g)), so . Using ,
(b) Let be non-constant. By Theorem 5.6.3,
some has for all . If , (a) gives
with : a contradiction. So .
(c) Completeness
fails in , and
with it two kinds of step. The infimum and the
supremum. Step 2 of Theorem 5.6.3
needs the infimum of a set of values, and Step 5 the
supremum of the corners ; in a bounded set need
not have either (Number Systems: From to , Theorem 2.6.2:
the positive rationals with have no
rational supremum). The square roots. The
modulus need not be rational (),
and the square roots of Proposition 1.4.1,
used in Case 2 of Lemma 5.6.4,
need real square roots. The polynomial is non-constant
with coefficients in and no root there
(the opening of this section), so the theorem is false
for ; a proof
that went through unchanged would prove a falsehood, so
some step must fail. In fact the failure for is exactly a
missing square root: its roots in are .
Marking scheme. (10 points)
- 2: re-centers at with , and
takes to be the
first index
with ,
with a reason that it exists.
- 1: obtains a direction with from Lemma 5.6.4.
- 2: proves that the leading term decreases by a
definite amount: or (or the same kind of bound for
directly), with an explicit (for
example , resp. ), for all in an explicit range
such as .
- 2: bounds the tail by and fixes explicitly before the
estimate that uses it.
- 2: concludes , and derives the
theorem by contradiction with the minimum.
- 1: (c) names both uses of completeness (the infimum
of Step 2, with the supremum of Step 5; the real square
roots behind the modulus and behind the complex square
roots of the direction lemma), and says why forces a
failure.
Fatal errors (0 for the step): choosing after the inequality
that needs it, or letting it depend on the point being
estimated; assuming the minimum exists without citing Theorem 5.6.3;
using polar form or -th roots of complex
numbers, which this chapter does not have (a -th root is accepted
only with a proof). A proof that obtains the direction
by polar form, if the reader has it from elsewhere,
earns the 1 point of the direction step only together
with a proof of the -th root it uses.
Exercise
(C2: Faded: the real polynomials vanishing at a non-real
number)
Let with , and let , evaluating in . You are given only:
is an ideal of
, and . Name the move, then complete it:
show that and that is irreducible over
.
Solution. The move is
least degree, then divide, as in Theorem 5.2.1.
Since is in
, the degrees of
the non-zero elements of form a non-empty subset
of ; let have the least
degree (Sets, Relations, and Cardinality, Theorem 2.1.3),
and let be its
monic associate, which is in because is an ideal. Divide
by : with (Theorem 5.1.2).
Then , and a non-zero would have smaller
degree than the least; so and .
The degree of . A non-zero
constant does not vanish at , so . If , then with , and gives , which
is excluded. So , and since with , (Proposition 5.1.1
(d)). Then
with ,
and comparing leading coefficients of the monic and , : .
. Multiples of are in . For , divide: with ; , and a
non-zero element of has degree at least
; so and .
Irreducible. If with
non-constant, both have degree , and (Theorem 4.4.1),
so or
(Theorem 2.1.1 (f)): an
element of of
degree , which was
just excluded. So
is irreducible.
Exercise
(C3: Find the error)
Here is an argument.
Claim. For every non-constant , attains a minimum
on .
Proof. (1) Let , which exists since the set is
non-empty and bounded below by . (2) For each , pick with . (3) Since , Lemma 5.6.1
puts the in a
bounded set. (4) So they converge to some . (5) Then
.
Is the claim true? Does the argument prove it? Name
the line that fails and the reason, give a
counterexample to the illegal step, and say how the
proof in the text avoids it.
Solution (Hint 1). For each line,
ask which result of this volume or of Number
Systems: From
to
justifies it.
Solution (Hint 2). Is every bounded
sequence of real numbers convergent?
Solution. The claim is
true: it is Theorem 5.6.3.
The argument does not prove it.
Line (4) fails. “The lie in a bounded set,
so they converge” uses a general “fact” that is neither
proved here nor true: entry (N9) of Logic and Proof, Example (What is not allowed).
Counterexample to the step: lies
in the bounded set and does not converge. (What
is true, that a bounded sequence has a convergent
subsequence, is not available in this
volume; and the subsequence would still have to be
chosen by a rule.) There is no counterexample to the
conclusion.
Two further slips. Line (2) picks infinitely
many with no
rule given, which is a use of the axiom of choice
(compare Number Systems: From to , Example (Picking Representatives Is a Use of Choice)).
Line (5) moves past a limit,
which needs continuity; Lemma 5.6.2
would supply it, but the line cites nothing.
The repair is the bisection of Theorem 5.6.3:
it chooses squares by a rule (“the first quarter with
the same infimum”), finds the common point as a supremum
of corners, and replaces the limit by the Lipschitz
estimate of Step 6. No sequence is ever asked to
converge.
Marking scheme. (10 points)
- 2: says the claim is true and the argument, as
written, does not prove it.
- 3: names line (4) and the reason: “bounded implies
convergent” is unproved and false, (N9).
- 2: a counterexample to the step, such as .
- 1: names one further slip: the rule-less choice in
line (2), or the unproved continuity in line (5).
- 2: describes the repair: squares chosen by a rule,
the common point from completeness, the Lipschitz bound
in place of a limit.
Fatal errors (0 for the step): a counterexample to
the conclusion (there is none); “repairing” line (4) by
citing Bolzano–Weierstrass as if it were proved in this
volume.
R. Review
Exercise
(R1)
Let be a
field. Show that there are no non-zero with .
Solution. This uses the degree of a
product from Chapter 4 (Theorem 4.3.2
(b)), which holds over a field since a field has no zero
divisors. Suppose and . Then , and
. So the natural number would equal : even and odd
at once, which Number Systems: From to , Corollary 3.1.3
(a) rules out. Hence no such exist.
Exercise
(R2)
In , show that every non-zero class () is a unit,
by multiplying it by . Compute .
Solution. In , , so . If , the rational number is
non-zero: if ,
then ;
if , then
would give
,
against Number Systems: From to , Theorem 2.6.1.
So , and is a unit. Every
class is
for exactly one pair (Theorem 5.5.2
(b)), and the zero class is the pair , so every non-zero
class is a unit: is a field, as Theorem 5.5.3
also says (
is irreducible over ). For : , so . Check: .
This is the computation of Example (The Field Generated by the Square Root of Two)
in Chapter 2, “multiply by the conjugate”, with in place of : the class behaves as , and .
Exercise
(R3)
Let . Prove that in .
Solution. The method is the integer
Euclidean step of Number Systems: From to , Chapter 3 (Number Systems: From to , Lemma 3.2.3),
used on the exponents and on the numbers at once. We
prove the claim for all by strong induction on (Logic and Proof, Theorem 4.2.2).
If , both
sides are :
the gcd of a positive integer with itself is that
integer (it divides both, and every common divisor is at
most it, Number Systems: From to , Definition 3.2.2),
and .
If , then
and , so Number Systems: From to , Lemma 3.2.3
gives . Likewise
gives . Since and , the
induction hypothesis gives . If
, exchange
the roles (the gcd is symmetric). For example, .
This is the integer twin of Exercise C3 of Section
5.2 (Exercise (C3: The gcd of two binomials)),
where and
play the
parts of
and .
Exercise
(R4)
Is
irreducible over ?
Solution. Yes.
The tool is a degree count over a finite field:
list the possible factorizations and check each.
The values are at
and
at , so
has no root in , and hence no
factor of degree
(Theorem 5.1.3
(c)). A factorization into non-constant factors would
then be with
. Over the only non-zero
constant is , so
and are monic. A root of
or would be a root of
, so both are
rootless quadratics, hence irreducible (Proposition 5.3.1
(b)). The monic quadratics over are , ,
and ;
only the last is rootless. So , and
in . So is irreducible.
Look-alikes that fail. “No root, hence
irreducible” (Proposition 5.3.1)
applies only in degrees and ; in degree it is the error of
Exercise C2 of Section 5.3, and is a rootless reducible quartic over . The rational root
test (Theorem 5.3.7)
is about , not
. Eisenstein’s
criterion is not in this volume.