Section 1.1.4 built as with a new multiplication and proved that it is a field. This appendix collects what else the book uses about complex numbers. Conjugation and the modulus are the raw material of inner products over (Chapter 6). Polar form explains what multiplying by a complex number does to the plane. Roots of unity give the discrete Fourier basis (Section 6.3.4), and square roots give the first cases of the Fundamental Theorem of Algebra (Theorem 7.1.32).
Throughout, when we write or , the letters denote real numbers.
The multiplication of is forced by the single rule (Section 1.1.4). But as well, and nothing in that rule, or in the arithmetic of , prefers to . Exchanging the two is conjugation.
Definition B.1.1(Complex conjugate). Let . The complex conjugate of is . We write and for the real and imaginary parts of (Definition 1.1.29); both are real numbers, and . We call purely imaginary if .
For example, ,, and . In the plane, is the mirror image of in the real axis (Figure B.1.1). As a map , conjugation is -linear but not -linear (Non-example 2.1.14).
For and an integer we write . The laws ,, and then hold for all integers (with when an exponent is negative), by the same inductions as for real numbers, and we use them freely.
Hint 1. Write and , and compute both sides of (a)–(d) from Definition 1.1.29.
Hint 2. For (e), avoid coordinates. Apply (a) to and to , and use the uniqueness of inverses. Then induct on .
Sketch. Parts (a)–(d) are coordinate computations; for the product, both sides equal . For (e), conjugating and with (a) shows that and are the additive and multiplicative inverses of . Powers follow from (a) by induction.
Let and .
(a). Since ,
where the middle equality is the multiplication rule of Definition 1.1.29 applied to and : the real part of the product is , and its imaginary part is .
(b). A map that is its own inverse is a bijection.
(c) means , that is, , which says that . Likewise means , that is, .
(d) and .
(e) Since and , part (a) gives , so by Theorem 1.1.9. If , then and , so (a) gives . Hence , and by Theorem 1.1.9.
For we show by induction on . The case is , and if it holds for , then by (a)
For and , the case applied to gives .□
A bijection of a field with and for all is an automorphism of . By (a) and (b), conjugation is an automorphism of , and by (c) the numbers it fixes are exactly the real ones. Exercise B.1.43 shows that it is the only automorphism of other than the identity that fixes every real number.
Intuition(Conjugation as a symmetry). Read Proposition B.1.2 as a symmetry of . Take any true equation built from complex numbers with sums, products, and inverses. Conjugate both sides and push the bars inward with (a) and (e): every complex number in it is replaced by its conjugate, and every real number stays as it is. So the new equation is also true. This is the precise sense in which and cannot be told apart.
Technique B.1.3(Conjugate the equation). Conjugation respects sums, products, and inverses, and it fixes real numbers (Proposition B.1.2). So conjugating both sides of a true equation gives another true equation, in which each complex number is replaced by its conjugate and each real number is unchanged. Two uses come up again and again.
To get a second solution of an equation with real coefficients from a first one, conjugate the first. The canonical example is Proposition B.1.4: the nonreal roots of a real polynomial come in pairs .
To show that a complex quantity is real, show that ; to show that it is purely imaginary, show that (Proposition B.1.2(c)).
Reach for it when real coefficients meet complex unknowns, as when a real matrix acts on , or when a quantity built symmetrically from and ought to be real. The second use shows that the eigenvalues of a self-adjoint operator are real (Proposition 8.1.1).
Proposition B.1.4(Roots of real polynomials come in conjugate pairs). Let with , and evaluate at complex numbers (Definition 1.2.17, with ). Then for every . In particular, if , then .
Sketch., so the equation holds if and only if or . The solutions are the real numbers and the purely imaginary numbers.
Since multiplication in is commutative, . So if and only if , which by Proposition 1.1.17 happens if and only if or . By Proposition B.1.2(c), the solutions are exactly the real numbers and the purely imaginary numbers, that is, the points of the two coordinate axes.
Definition B.1.7(Modulus). The modulus (or absolute value) of is the real number .
So is the length of the vector , and is the distance between the points and of the plane. For a real number , is its usual absolute value, so the notation is consistent. For example, ,, and for every .
(e) and . Moreover , with equality if and only if is a nonnegative real number.
(f).
Most of these are one-line computations in coordinates. Parts (d) and (f) are better done without coordinates, by a move worth naming.
Technique B.1.9(Square the modulus). The modulus is a square root, and square roots do not expand. Its square does: is a product, which can be multiplied out with the field axioms and conjugated term by term with Proposition B.1.2. Nothing is lost by squaring, since moduli are nonnegative: for real , if and only if , and if and only if . So to prove an identity or an inequality between moduli, square both sides, write each as , and expand.
Reach for it whenever moduli of sums or products appear. The canonical example is in Proposition B.1.8, where . With in place of , the same move expands norms in inner product spaces (Proposition 6.1.29).
Both and are nonnegative, so they are equal. If , then by what we just proved, and dividing by gives .
(e), and likewise . Next, . The first inequality is an equality if and only if , and the second if and only if . So if and only if and , that is, is a nonnegative real number.
In coordinates, (d) says that : a product of two sums of two squares is again a sum of two squares. Exercise B.1.48 puts this to use. Similarly, is the dot product of and , so (f) is the law of cosines in the plane.
Exercise B.1.10.routine Let . Find without computing . Then compute , and check your answer.
The modulus is a length, so it should satisfy the triangle inequality. In the triangle with vertices ,, and , the sides have lengths ,, and (Figure B.1.1(b)). With more terms, the broken path is at least as long as the straight segment from to its endpoint, and the two are equally long only if the path never turns.
Alternatively, rotate the whole picture so that the sum points along the positive real axis (Technique 6.2.8). Then is the real part of the rotated sum. The real part of a sum is the sum of the real parts, and each real part is at most the modulus of its term. The first argument is the one that generalizes to inner product spaces (Theorem 6.2.11). The second handles all terms at once and makes the equality case transparent.
Hint 1. Prove the case first. Both sides are nonnegative, so compare squares, and expand with Proposition B.1.8(f).
Hint 2. The case reduces to , with equality exactly when is a nonnegative real number. For terms, induct, splitting off .
Hint 3. For the equality case with terms, equality forces equality in both steps of , where . Treat separately.
Sketch. For two terms, , with equality if and only if is real and nonnegative. Induction on gives (a). For (b), “if” is a computation. For “only if”, equality for terms forces equality for , so they point along some , and for the two terms and . If , then , which gives ; if , then , and the direction of works for all terms.
Two terms. Let . By parts (f), (e), (d), and (b) of Proposition B.1.8,
with equality if and only if , that is (by Proposition B.1.8(e)), if and only if is a nonnegative real number. Both and are nonnegative, so
(B.1.1)
(a) We induct on . For there is nothing to prove. For , let . By (B.1.1) and the induction hypothesis,
(B.1.2)
(b) Suppose for every , with . Then , and by Proposition B.1.8(d) its modulus is .
Conversely, suppose equality holds in (a). We find by induction on . For , take if and if . Let . Equality between the two ends of (B.1.2) forces equality in both of its steps:
By the induction hypothesis there is with and for , and then by the computation in the previous paragraph.
If , then , so . Choose for the single number as in the case ; then for every .
If , then by the first equality and (B.1.1), is a nonnegative real number. Dividing by , so is , and hence . Conjugating gives , and multiplying by , with , gives .
Hint 3. Equality holds if and only if for every . When does that happen?
Sketch. If , (a) is clear, and equality forces every . Otherwise let . Then , with equality if and only if each is a nonnegative real number. As , that means , that is, .
If for all with , then has modulus by Proposition B.1.8(d). This is the “if” part of (b).
Let . If , then (a) holds because its right side is nonnegative, and equality means . Then every is , and works.
Suppose , and let . Then , and by Proposition B.1.8(b). The real part of a sum is the sum of the real parts, since addition in is coordinatewise (Definition 1.1.29). With parts (e) and (d) of Proposition B.1.8,
This is (a). If equality holds, then for every , because a sum of nonnegative gaps vanishes only if each gap does. By Proposition B.1.8(e), each is then a nonnegative real number, and since , this says . Multiplying by gives for every .□
The first proof found the direction one term at a time; the second named it at the start, as the direction of the sum, and then checked each term against it.
Corollary B.1.12(Two terms, and the reverse triangle inequality). Let .
(a) if and only if one of is a nonnegative real multiple of the other, if and only if is a nonnegative real number.
Hint 1. For (a), take in Theorem B.1.11(b), and translate “ and ” into the other two conditions.
Hint 2. For (b), write and apply the triangle inequality; then exchange the roles of and .
Sketch. (a) If and , then . If and , then . If with and , then works. (b) and .
(a) By Theorem B.1.11(b) with , the equality holds if and only if (i) and for some with . Let (ii) say that is a nonnegative real number, and (iii) that one of is a nonnegative real multiple of the other. We prove (i) (ii) (iii) (i).
If (i) holds, then .
Suppose with real and . If , then . If , multiplying by gives , so with .
Suppose finally that with ; the case is the same with and exchanged, and (i) is symmetric in and . If , then as well, and works. If , let . Then and , where by Proposition B.1.8(d).
As a real vector space, is with the basis (Example 1.6.5). So adding complex numbers is adding vectors, by the parallelogram rule, and multiplying by a real number scales (Figure B.1.1). What is new is multiplication by a nonreal number, and to describe it we need polar coordinates.
Figure B.1.1. (a) The number as the point , with its modulus and an argument , and its conjugate , the mirror image in the real axis. (b) Addition is vector addition. The triangle has sides of lengths ,, and , and the red diagonal of the parallelogram has length .
Remark B.1.13(Facts about and ). We use the following facts about the real functions and , from calculus.
(T1),,, and the angle addition formulas
(T2) and if and only if .
(T3)For every with there is a with .
We used (T1) to show that rotations are linear (Example 2.1.11).
Definition B.1.14(Polar form and argument). Let be nonzero. An argument of is a real number with
Writing with and is writing in polar form.
Proposition B.1.15(Existence and uniqueness of polar form). Let be nonzero.
(a) has an argument.
(b)If with and , then , so is an argument of .
(c)If is an argument of , then the arguments of are exactly the numbers with .
(c) Dividing by , a real number is an argument of if and only if . Comparing real and imaginary parts, this holds if and only if and , which by (T2) holds if and only if .□
So two nonzero complex numbers are equal if and only if they have the same modulus and their arguments differ by a multiple of . The number has no argument.
Example B.1.16(Polar forms).,,, and . Any argument may be changed by a multiple of : also .
Hint 1. Multiply out the left side with and compare with the angle addition formulas (T1).
Hint 2. For , multiply by the proposed inverse, using the first part with .
Sketch. Expanding gives , which is the right side by (T1). The formula for follows by regrouping. The proposed inverse times is , and is the stated number by (T1).
Expanding with ,
which is by (T1). For and as stated, by commutativity and associativity, which gives the formula for . With , the first part gives
which is the formula for . Finally by (T1). □
Figure B.1.2. Multiplying by . The product has modulus and argument . The faint arc is part of the unit circle.
The computation in the proof is the one that shows that rotating by and then by is rotating by (Exercise 2.1.43). The next proposition explains why.
Hint 1. Linearity comes from distributivity and commutativity in . The columns of are the coordinates of and .
Hint 2. For (b), substitute and , and recall the matrix of from Example 2.3.3.
Sketch. is even -linear (Exercise 2.1.5), hence -linear. and give the columns and . In polar form and , and the matrix becomes times the rotation matrix.
(a) By Exercise 2.1.5 with , is -linear: and for . In particular this holds for real , so is -linear. Its values on are
(b) By Definition B.1.14, , so and . Substituting into (a) gives the first equality, and the second is the matrix of from Example 2.3.3. The coordinate map sends the basis to the standard basis of , so under it becomes the linear map of with standard matrix , namely .□
Part (a) is also part (a) of Exercise 2.3.35. The determinant of the matrix is (Definition 5.1.14): multiplication by scales areas by , as a rotation followed by scaling every direction by should. The shape of the matrix records : its second column is its first, turned a quarter turn counterclockwise. An -linear map of the plane has this property exactly when it is -linear, that is, multiplication by a complex number (Exercise 2.1.47), and exactly when it commutes with the quarter turn (Exercise 2.2.30).
In the plane transformer below, for . So is and is . The grid turns by and stretches by , and . Drag to another , and then to its quarter turn : the grid stays square, and the determinant is . In any other position of the map is still -linear, but it is not multiplication by a complex number. Squares become non-square parallelograms, except at , where the map is : it keeps squares square but reverses orientation, and .
Multiplication by as a map of . The unit square turns by and grows by the factor in each direction, so its area becomes .
For example, ,, and . For us is an abbreviation, chosen because the first identity is a law of exponents. It is also the value of a genuine exponential function, but we never need that.
Aside(Why an exponential).Beyond 21-242 The power series converges for every , and multiplying two such series, with the binomial theorem, gives . Splitting into its even and odd terms and using gives the Taylor series of and . So (Euler’s formula), and for real . All of this needs convergence of series, which belongs to analysis.
Sketch. The case is , and is the induction step. For negative , apply the nonnegative case to and , since .
For both sides are . If the formula holds for some , then by Proposition B.1.17
So it holds for every . If , then , and since (Notation B.1.19), the case already proved, applied to and , gives
Finally, .□
Technique B.1.21(Use polar form for products, powers, and roots). Addition is easy in the form . Multiplication is easy in polar form, where moduli multiply and arguments add (Proposition B.1.17). So when a problem is about products, quotients, powers, or roots of complex numbers, or about rotations of the plane, write the numbers as . The problem then splits into a question about positive real numbers (the moduli) and a question about angles modulo (the arguments), and each is usually easy. Converting back to the form costs a cosine and a sine.
Reach for it to compute a high power, to solve , or to see what a product does geometrically. The canonical example is the solution of in Theorem B.1.26.
Hint 1. For (a), apply de Moivre’s formula, then ask when .
Hint 2. For the hard half of (b), let . First show , then write and use the criterion for .
Hint 3. For (c), , and .
Sketch. (a) by de Moivre, and exactly when , which here means . (b) Each is a root, since , and they are distinct by (a). If , then , so , and gives , so ; reduce modulo . (c) forces , so . (d) .
(a) By Theorem B.1.20, . By Notation B.1.19 this is if and only if , that is, , that is, . Multiplying by , if and only if , if and only if .
(b) For , by (a), so each is an th root of unity. If , then , so , and by (a).
Conversely, let . Then , and by Proposition B.1.8(d). A positive real number with equals , since gives and gives . So , and for an argument of (Proposition B.1.15). By Theorem B.1.20, , so for some , and . Dividing by with remainder, with , and by (a). So is one of .
The roots lie on the unit circle at the angles , equally spaced. So for they are the vertices of a regular -gon inscribed in the unit circle, with one vertex at (Figure B.1.3(a)). Multiplying by rotates the plane by (Proposition B.1.18), which carries each vertex to the next one, , and back to . Parts (a)–(d) are the facts about behind the discrete Fourier basis (Section 6.3.4).
Figure B.1.3. (a) The th roots of unity ,, are the vertices of a regular octagon; multiplication by turns each vertex into the next. (b) The cube roots of (Example B.1.27) form an equilateral triangle inscribed in the circle of radius .
Every nonzero number has th roots, by the same method.
Theorem B.1.26(th roots). Let , and let with and . The equation has exactly solutions in , namely
where is the positive real th root of . If is any one solution, the solutions are exactly the numbers with an th root of unity. For they are the vertices of a regular -gon inscribed in the circle of radius about .
Hint 1. Check with de Moivre’s formula that is a solution.
Hint 2. If and are both solutions, what equation does satisfy?
Sketch. By de Moivre, . If is one solution, then if and only if , that is, for an th root of unity , and there are exactly of these by Theorem B.1.25. With this is the list .
By Theorem B.1.20, , so solutions exist. Let be any solution. Since , also . For , if and only if , that is, is an th root of unity. So the solutions are the numbers with . By Theorem B.1.25(b) there are exactly such , namely with , and the numbers are distinct because (Corollary 1.1.14). Taking and using Proposition B.1.17,
All the have modulus , and their arguments are spaced apart, so for they are the vertices of a regular -gon. □
The th roots of unity are the vertices of a regular polygon centred at , so their average, the centre of mass of the vertices, should be . Rotating by permutes the vertices, so their sum satisfies , and as , this forces . Here are two proofs, together with the product of the roots.
Proposition B.1.28(Sum and product of the roots of unity). Let and . The th roots of unity add up to , and their product is :
The product is . If is odd, then is an integer, so divides , and the product is by Theorem B.1.25(a). If is even, then , and by Theorem B.1.25(d) the product is .□
Uses.Theorem B.1.25 (The th roots of unity), the factor theorem: a polynomial of degree with leading coefficient and distinct roots equals (Section 7.1)
Hint 1. The th roots of unity are exactly the roots of the polynomial , and there are of them. Factor .
Hint 2. In , the coefficient of is and the constant term is .
Sketch. By Theorem B.1.25, has the distinct roots , so . Comparing the coefficients of (which is on the left, as ) and the constant terms gives and .
The polynomial has degree and leading coefficient , and by Theorem B.1.25(b) it has the distinct roots . By the factor theorem (Section 7.1),
Multiplying out the right side, each term picks or from each factor. The terms of degree pick from exactly one factor, so the coefficient of is . The constant term picks from every factor, so it is . On the left, the coefficient of is , since , and the constant term is . Comparing,
□
The first proof needs nothing about polynomials. The second reads both identities off one factorization, the way Vieta’s formulas relate the coefficients of a polynomial to its roots, and the other coefficients of give more identities of the same kind (Exercise B.1.45 uses the factorization again).
The first proof applies to any th root of unity : since , we get . With this is Lemma 6.3.39, the computation behind the orthogonality of the discrete Fourier basis.
was enlarged to to give a square root. Every complex number then has a square root without any further enlargement, and so every quadratic equation over can be solved.
Proposition B.1.29(Square roots in ). Every has a square root in . If , it has exactly two square roots, and , where is any one of them. The only square root of is .
Sketch. For ,Theorem B.1.26 with gives exactly the two solutions with . For , forces .
If , then forces (Proposition 1.1.17). If ,Theorem B.1.26 with gives exactly two solutions of , namely for the two square roots of unity . By Theorem B.1.25 with , these are and , so the solutions are and . Explicitly, if , then is one of them. □
Proof (by solving for the real and imaginary parts).standard
Hint 2. Taking moduli, . Combine this with to find and , then fix the signs with .
Hint 3. For the count, factor .
Sketch. A solution must satisfy and , so and , both nonnegative because . Taking the nonnegative root for and giving the sign of (either sign if ), one checks that and . Finally, if and only if .
Let . We first find a candidate. If satisfies , then and , and taking moduli, (Proposition B.1.8(d)). Hence
Both right sides are nonnegative, since (Proposition B.1.8(e)). So let if and if , and put
(B.1.3)
We check that . The real part of is , and its imaginary part is
So every has a square root. Now if , then if and only if , which by Proposition 1.1.17 holds if and only if or . These differ unless , that is, unless , which happens exactly when .□
The second proof needs no trigonometry: (B.1.3) computes a square root from two real square roots. For we have , so , and indeed . For it gives , as in Exercise 1.1.44(b).
Theorem B.1.30(Quadratic equations over ). Let with , let , and let be a square root of (Proposition B.1.29). Then the solutions of are
which are distinct if and equal if . Moreover, for every .
Hint 1. Complete the square: multiply the equation by .
Hint 2.. Now use that the square roots of are .
Hint 3. For the factorization, compute and .
Sketch. Since and , is a solution if and only if is a square root of , that is, . The roots coincide exactly when . Finally and .
Expanding, . Since , is a solution if and only if , that is, is a square root of . By Proposition B.1.29 the square roots of are and , so is a solution if and only if , that is, or . These coincide if and only if , that is, , that is, . Finally and
so .□
This is Exercise 1.1.50(a) for the field , where the hypothesis that is a square always holds.
Example B.1.31(A quadratic with complex coefficients). To solve , compute . Here , and (B.1.3) gives the square root . So the solutions are
Check: their sum is and their product is . The roots are not conjugate to each other, which is allowed because the coefficients are not real (compare Proposition B.1.4).
Remark B.1.32(The Fundamental Theorem of Algebra).Theorem B.1.26 and Theorem B.1.30 solve two kinds of polynomial equations over . The Fundamental Theorem of Algebra (Theorem 7.1.32) says that every nonconstant polynomial with complex coefficients has a root in . Over this fails already for , and was built by adjoining a root of that single polynomial; the theorem says that no polynomial ever forces a further enlargement. Together with the factor theorem, it factors every polynomial in into linear factors, and together with Proposition B.1.4, it factors every polynomial in into real factors of degree at most (Section 7.1). For degree and higher there is no formula in radicals like Theorem B.1.30, and the proofs in Section C.1 show that a root exists without producing it. In linear algebra, the theorem is what guarantees that every operator on a nonzero finite-dimensional complex vector space has an eigenvalue (Theorem 7.3.27).
Hint 2. The arguments are for , and the modulus is .
Sketch. The solutions are : and , the vertices of a regular hexagon of radius . Of these, satisfy .
Since and ,Theorem B.1.26 gives the six solutions ,, with arguments :
They are the vertices of a regular hexagon inscribed in the circle of radius , with vertices on the imaginary axis. As has real coefficients, they come in conjugate pairs (Proposition B.1.4). The solutions of are , and both are on the list, as they must be: if , then .
Sketch.. Adding gives (a): the squares of the diagonals add up to the squares of the four sides. Subtracting gives (b), and is the dot product of and , so the diagonals are equal exactly when the parallelogram is a rectangle.
(a) Adding the two identities gives . The diagonals of the parallelogram are the segments from to and from to , of lengths and , and its four sides have lengths . So the sum of the squares of the diagonals equals the sum of the squares of the sides. This is the parallelogram law, the case of Proposition 6.1.30.
(b) Subtracting gives . Both lengths are nonnegative, so if and only if . For and ,, so is the dot product of and . So the diagonals are equally long exactly when the sides and are perpendicular (or one of them is ), that is, when the parallelogram is a rectangle.
Hint 1. Expand both squared moduli with Proposition B.1.8(f), or as .
Hint 2. The cross terms are and . These are equal, because is the conjugate of .
Hint 3. For (b), the right side of (a) is positive. For (c), it is zero.
Sketch. and ; the real parts agree, and the difference is . In (b), , so the denominator is nonzero, and the identity gives . In (c) the right side vanishes.
Since (Proposition B.1.2), the two numbers have the same real part. Subtracting,
(b), so and . Both factors on the right of (a) are positive, so . Taking square roots and dividing by gives the claim (Proposition B.1.8(d)).
(c) Now , so (a) gives , and the denominator is nonzero by assumption. Hence the quotient has modulus .
So for fixed with , the map sends the open unit disk into itself, by (b), and the unit circle into itself, by (c); the condition holds automatically, since .
Exercise B.1.37.standard Describe each of the following sets geometrically.
Hint 1. For (a) and (b), square both sides and write .
Hint 2. For (c), multiply the numerator and the denominator by . The denominator becomes a positive real number, and the numerator is .
Sketch. (a) Squaring, : the line , the perpendicular bisector of and . (b) Squaring gives , the circle with centre and radius . (c) has real part , so the set is the unit circle without .
Write . Moduli are nonnegative, so each equation between moduli is equivalent to the equation between their squares.
(a) and . They are equal if and only if , that is, . The set is the line through with slope : the perpendicular bisector of the segment from to , as it should be, since it consists of the points equidistant from and .
(b) The condition is , that is, . Dividing by and completing the square, . The set is the circle with centre and radius .
(c) For ,
by Proposition B.1.8(c), and is real. The numerator is , where is purely imaginary. So the real part of the quotient is , which is if and only if . The set is the unit circle with removed. Geometrically, is purely imaginary exactly when the segments from to and to are perpendicular (or ), and the set of such is the circle with diameter from to (Thales).
Exercise B.1.38.routine Prove or disprove each statement, for all .
Hint 1. For which exponents did we prove Theorem B.1.20? Was ever defined?
Hint 2. What does de Moivre’s formula with say about ?
Sketch.Theorem B.1.20 holds for integer only, and has no meaning: has two square roots, . The formula depends on the argument chosen, not only on the number , and the arguments and of produce its two square roots.
The first sentence is the error. Theorem B.1.20 was proved for integers , by induction and by inverting, and it says nothing for . Worse, the symbol was never defined: has two square roots, and (Proposition B.1.29), and no rule has been given for choosing one.
What de Moivre’s formula does give, with , is . So is a square root of . But it depends on , not only on the number , and a number has many arguments (Proposition B.1.15). The arguments and of give its two different square roots, and , exactly as in Theorem B.1.26 with . The rest of the computation is correct; it shows only that and are both square roots of .
Hint 2. For (c), most field axioms hold because they hold for all matrices (Proposition 2.4.14). Commutativity of multiplication and inverses can be transported from with (a).
Sketch. (a) Entrywise for sums; . (b) Swap and ;. (c) contains and and is closed under sums, negatives, and products; ; and .
(c) By (a), is closed under addition and multiplication, and it contains ,, and the negative of each of its elements. Addition of matrices is commutative and associative, and multiplication is associative and distributes over addition (Proposition 2.4.14), so these laws hold in ; and are identities, and . Multiplication in is commutative, because . Finally, a nonzero element of is with , because is injective and ; then , so is its inverse. So is a field, and is a bijection that respects sums and products: is a copy of made of real matrices, in which is the quarter turn , and in which conjugation is transposition.
Exercise B.1.43.standard Let be an automorphism of (Section B.1.1) with for every . Show that is either the identity or conjugation.
Hint 2. Apply to . Which complex numbers square to ?
Sketch., so . Then is or .
Since respects products and fixes ,. By Exercise 1.1.44(a), or . For , since respects sums and products and fixes and ,
If , this is , so is the identity; if , it is , so is conjugation. Both are indeed automorphisms fixing (Proposition B.1.2).
The hypothesis that fixes matters. Every automorphism fixes (it fixes , hence every integer and every quotient of integers), but has other, very discontinuous, automorphisms that move real numbers; proving that they exist needs the axiom of choice, for instance in the form of Zorn’s lemma (Section A.4).
Exercise B.1.44.standard Let with and . Show that for some with , where . Conclude that are the vertices of an equilateral triangle.
Hint 1. Approach 2 of Proposition B.1.28 shows . Also . You cannot simply cancel yet; compare values instead.
Hint 2. Both sides of (a) take the same value at every . Two polynomials of degree at most that agree at infinitely many points are equal (Proposition 7.1.22).
Hint 3. For (c), .
Sketch. Let and . For every ,, so ; as has degree at most and infinitely many roots, . Evaluating at gives (b). Taking moduli, , and .
(a) Let and . By Approach 2 of Proposition B.1.28, , and multiplying out, . Evaluating at (evaluation respects products, Section 7.1),
For we may cancel , so for every . Both and have degree , so has degree at most and infinitely many roots, and by Proposition 7.1.22.
(b) Evaluating (a) at gives .
(c) The vertices of a regular -gon inscribed in the unit circle are equally spaced on it, so they are , where is the chosen vertex and . Multiplication by preserves distances, since , and it carries the vertices to , with the chosen vertex going to . Taking moduli in (b), with Proposition B.1.8(d), the product of the distances is .
For , by (T1),
where the last step is . For with , we have , so and . Hence .
Exercise B.1.46.standard An th root of unity is primitive if for . Let .
(a)Show that for , is primitive if and only if .
(b)Show that if is primitive, then are all the th roots of unity.
(c)List the primitive th roots of unity in the form .
Hint 3. For (b), show that the powers are distinct, and count.
Sketch. (a) if and only if . If , then works, so is not primitive. If , then forces , so . (b) If with , then , which is impossible; so the powers are distinct th roots of unity. (c) :.
(a) By Theorem B.1.25(a), if and only if . Let . If , then satisfies and , so and is not primitive. If and with , then , so by Euclid’s lemma, and . So is primitive.
(b) Each is an th root of unity, by Theorem B.1.25(c). If with , then with , contradicting primitivity. So are distinct th roots of unity, and by Theorem B.1.25(b) there are only , so these are all of them.
(c) For , the in with are . So the primitive th roots of unity are
Exercise B.1.47.hard Let . Show that divides in if and only if .
Hint 1. Let and , a root of . Divide by with remainder in , and evaluate at .
Hint 2. The remainder is with , and . Since is not real, forces .
Hint 3. Compute with . When is ?
Sketch. Write with and . Since ,, whose imaginary part is ; so the remainder vanishes if and only if . With ,, which is if and otherwise, since then is a cube root of unity other than .
for some and , and divides if and only if . Evaluating at (evaluation respects sums and products, Section 7.1) gives . Now is if and only if and . So divides if and only if .
Let . Then , and . If , then by Theorem B.1.25(a), and . If , then by Theorem B.1.25(a), so gives . So if and only if .
For instance, , while is not divisible by .
Exercise B.1.48.standardBeyond 21-242 The Gaussian integers are , and the norm of is .
(a)Show that is closed under addition, negation, and multiplication, that is a nonnegative integer, and that .
(b)A unit of is a with for some . Show that the units are .
(c)Starting from and , write as a sum of two squares of integers in two different ways.
Write , with any if . Then . So is continuous and -periodic, and integrating each term over a period centred at ,
If we had for every , then, as is continuous, the integral would be less than , a contradiction. So some has , and works.
This is an averaging argument. We cannot say in advance which direction is best, but the average of over all directions is computable, and some direction does at least as well as the average.
More practice
The practice bank has 16 exercises on this section’s topics.