Positivity, sums of squares and the multi-dimensional moment problem II

Size: px
Start display at page:

Download "Positivity, sums of squares and the multi-dimensional moment problem II"

Transcription

1 Positivity, sums of squares and the multi-dimensional moment problem II S. Kuhlmann, M. Marshall and N. Schwartz Abstract The paper is a continuation of work initiated by the first two authors in [K M]. Section 1 is introductory. In Section 2 we give new proofs of results of Scheiderer in [S1] [S2] in the compact case; see Corollaries 2.3, 2.4 and 2.5. The main tool in Section 2, Lemma 2.1, is also used in Section 3 where we continue the examination of the case n = 1 initiated in [K M], concentrating on the compact case. In Section 4 we prove certain uniform degree bounds for representations in the case n = 1 which we then use in Section 5 to prove that ( ) holds for basic closed semi-algebraic subsets of cylinders with compact cross-section provided the generators satisfy certain conditions; see Theorem 5.3 and Corollary 5.5. Theorem 5.3 provides a partial answer to a question raised by Schmüdgen in [Sc2]. We also show that for basic closed semi-algebraic subsets of cylinders with compact cross-section the necessary conditions for (SMP) given in [Sc2] are also sufficient; see Corollary 5.2(b). In Section 6 we prove a module variant of the result in [Sc2] in the same spirit as Putinar s variant [Pu] of the result in [Sc1] in the compact case; see Theorem 6.1. We then apply this to basic closed semi-algebraic subsets of cylinders with compact cross-section; see Corollary 6.4. In Section 7 we apply the results from Section 5 to solve two of the open problems listed in [K M]; see Corollary 7.1 and Corollary 7.5. In Section 8 we consider a number of examples in the plane. In Section 9 we list some open problems. 1 Introduction Let R[X] denote the polynomial ring in n variables X = (X 1,..., X n ) with real coefficients, and consider a finite set S = {g 1,, g s } of polynomials in R[X]. We 2000 Mathematics Subject Classification: Primary 14P10, Secondary 44A60. Partially supported by an NSERC research grant. Partially supported by an NSERC research grant. Partially supported by the European RTN Network RAAG, Contract No. HPRN-CT

2 denote by K S the basic closed semi-algebraic set in R n defined by: K S = {x R n : g 1 (x) 0,..., g s (x) 0}. We denote by T S the preordering in R[X] generated by S: T S = { σ e g e : σ e R[X] 2 }, e {0,1} s where g e := g e 1 1 g e s s if e = (e 1,, e s ), and R[X] 2 denotes the preordering of R[X] consisting of sums of squares. Note: K = R n, T = R[X] 2. By the Positivstellensatz [St], K S = 1 T S T S = R[X]. Set and Note: T S T lin S T alg T alg S = {f R[X] : f 0 on K S }, T S = {L : R[X] R : L is linear ( 0) and L(T S ) 0}, T lin S = T S = {f R[X] : L(f) 0 for all L T S }. T alg S. TS, TS lin depend on T S. T alg S depends only on K S. S is a preordering, called the saturation of T S. We say T S is saturated if T alg S = T S. TS lin is the closure of T S in R[X], giving R[X] the unique finest locally convex topology [Po S, p. 76]. TS lin is a preordering [Po S, Lem. 1.2]. We say T S is closed if TS lin = T S. The Moment Problem is the following: For a linear functional L on R[X], when is there a positive Borel measure µ or R n such that f R[X] L(f) = R n fdµ? The following result is due to Haviland [H1] [H2]. For a proof based on the Riesz representation theorem, see [M2, Th. 3.1] for example. Theorem 1.1 For a linear functional L on R[X] and a closed set K of R n, the following are equivalent: (i) a positive Borel measure µ on K such that f R[X], L(f) = K fdµ. (ii) f R[X], f 0 on K L(f) 0. Since T alg S is in general not finitely generated, one is interested in approximating it by T S. Therefore one studies the following concrete version of the Moment Problem: When is it true that every L TS comes from a positive Borel measure on K S? By Theorem 1.1, this is equivalent to asking when the following condition holds: (SMP) T alg S = T lin S. Given a pair of sets S, S with K S K S one can also ask: When is it true that every L TS comes from a positive Borel measure supported by K S? By Theorem 2

3 1.1 this is equivalent to asking if T alg S T lin S. This property is most often considered in the special case S = : (MP) T alg T lin S. In [Sc1], the author proves (SMP) when the basic closed semi-algebraic set K S is compact. Moreover, for compact K S, he gets the following substantial improvement of the Positivstellensatz: ( ) f R[X], f 0 on K S real ɛ > 0, f + ɛ T S. See [M1] or [P D] for a proof of ( ) based on the Kadison-Dubois representation theorem. Note: (i) T S is saturated ( ) holds (SMP) holds (MP) holds. (ii) If T S is closed then T S is saturated ( ) holds (SMP) holds. In [K M], the authors consider the condition: ( ) f R[x], f 0 on K S q R[X] such that real ɛ > 0, f + ɛq T S. It is shown that ( ) is strictly weaker than ( ), but implies (SMP). The authors show that ( ) holds in various non-compact cases, e.g., for basic closed semi-algebraic sets obtained by a certain natural dimension extension process [K M, Cor. 4.5] and for cylinders with compact cross-section [K M, Th. 5.1]. Motivated by condition ( ) we define T S = {f R[X] : q R[X] such that real ɛ > 0, f + ɛq T S }. Note: (i) T S T S TS lin. (ii) ( ) holds iff T alg S to also consider the set T S = {f R[X] : real ɛ > 0, f + ɛ T S }, = T S. (iii) It would seem natural but it is not clear that T S is closed under multiplication in general. It follows from the proof of [K M, Cor. 4.2] that the element q appearing in the description of T S can be chosen from the set {p l : l 0} where p 1 + T S is any polynomial which grows sufficiently rapidly on K S, e.g., p = 1 + X 2 always works. Here, X 2 := n i=1 X 2 i. If K S is compact then p = 1 works. Denote by P d the (finite dimensional) vector space consisting of all polynomials in R[X] of degree 2d, and by T d = T S P d. T d is obviously a cone in P d, i.e., T d + T d T d and R + T d T d. Denote by T d the closure of T d in P d. Proposition 1.2 (i) T S = d 0 T d. (ii) T S is a preordering. 3

4 Proof: Assertion (i) is clear from the proof of [K M, Prop. 1.3]. For polynomials f, g, the coefficients of f + g and fg are polynomial functions (in particular, continuous functions) of the coefficients of f and of g. Assertion (ii) is clear from this, using (i). The question of whether (SMP) is strictly weaker than ( ), posed as a problem in [K M], is still open. It seems likely that this is the case, but no examples are known. In fact, no examples are known where T S TS lin. Observe that ( ), ( ), (SMP) and (MP) all depend on T S. Consequently, if ( ), resp., ( ), resp., (SMP), resp., (MP) holds then we say that ( ), resp., ( ), resp., (SMP), resp., (MP) holds for T S or that T S satisfies ( ), resp., ( ), resp., (SMP), resp., (MP). The case n = 1 is already of considerable interest. In fact, early work on the Moment Problem dealt almost exclusively with this case. If K R is a non-empty closed semi-algebraic set then one checks easily that K = K N for N the set of polynomials defined as follows: If a K and (, a) K =, then X a N. If a K and (a, ) K =, then a X N. If a, b K, a < b, (a, b) K =, then (X a)(x b) N. N has no other elements except these. We call N the natural set of generators for K. We adopt the convention that the natural set of generators of the empty set is { 1}. The following can be easily deduced from [K M] and [Sc1]: Theorem 1.3 Suppose n = 1. (a) If K S is not compact, then T S is closed, for any finite set of generators S. Moreover the following are equivalent: (i) T S is saturated (ii) T S contains the natural set of generators (iii) S contains the natural set of generators (up to scalings by positive reals). (b) If K S is compact, then ( ) holds for T S, for any finite set of generators S. Moreover the following are equivalent: (i) T S is saturated (ii) T S is closed (iii) T S contains the natural set of generators. Note: Unlike the non-compact case (a), T S may be saturated in the compact case (b) even when S does not contain a scaling of the natural set of generators (cf. [K-M, Notes 2.3(4)]). See Section 3 for a useful criterion for determining when T S is saturated (i.e., closed) in the compact case when n = 1. For n 2 there is no general criterion for determining when T S is closed. We do have the following: 4

5 Proposition 1.4 (i) If K S is compact and dim(k S ) 3 then T S is not closed. (ii) If K S contains a cone of dimension n then T S is closed. Assertion (i) is immediate from [S1, Prop. 6.1] using [Sc1, Cor. 2]. (ii) is proved in [K M, Th. 3.5] using a method introduced earlier in [B C J]. See [Po S, Prop. 3.7] for another proof. Proposition 1.5 If K S contains a cone of dimension 2 then (MP) fails for T S. The statement of Proposition 1.5 is stronger than that of [K M, Cor. 3.10] but the proof is the same. Namely, one uses [K M, Th. 3.5] along with [S1, Remark 6.7] to produce p T alg, p / TS lin. See [Po S, Cor. 3.10] for a more general criterion. Note: For n 3 the condition that K S contains a cone of dimension 2 does not imply that T S is closed. Example 1.6 Let n 1 and pick S 1 in R[X] such that K S1 is compact and T S1 is not closed. Define S in R[X, Y, Z] by S = S 1. K S = K S1 R 2 contains a 2- dimensional cone. Also TS lin 1 TS lin and T S1 = T S R[X] so if p TS lin 1, p / T S1, then p TS lin, p / T S. The possible choices for S 1 are necessarily a bit artificial if n = 1, e.g., S 1 = {X 3 (1 X)} will do. For n = 2 it seems that less contrived choices should exist. For n 3 any S 1 with dim(k S1 ) 3 will do [S1, Prop. 6.1]. In [Sc2], the author considers the following situation: Suppose h 1,..., h d R[X] are bounded on K S (so N d i=1 h 2 i 0 on K S for N sufficiently large). For λ = (λ 1,..., λ d ) R d define S λ = S {h 1 λ 1, (h 1 λ 1 ),..., h d λ d, (h d λ d )}. Thus K Sλ = K S C λ where C λ denotes the algebraic set in R n defined by the equations h i (X) = λ i, i = 1,..., d. By the assumption K Sλ = (i.e., T Sλ = R[X]) for λ N. The author proves: Theorem 1.7 Suppose h 1,..., h d R[X] are bounded on K S. If (SMP) (resp., (MP)) holds for T Sλ for each λ then (SMP) (resp. (MP)) holds for T S. Theorem 1.7 can be applied in a variety of cases, e.g., to basic closed semi-algebraic subsets of cylinders with compact cross-section; see Corollary 5.2 below. As explained in [K M], one can also consider the (generally smaller) quadratic module s M S = { σ i g i : σ i R[X] 2 }, i=0 5

6 generated by S (here g 0 := 1) and the corresponding objects M S = {L : R[X] R L is linear ( 0) and L(M S ) 0}, M lin S = M S = {f R[X] : L(f) 0 for all L M S } and M S = d 0 M d where M d := M S P d. M lin S is the closure of M S in R[X]. Theorems 1.4 and and 1.5 and Proposition 1.2 continue to hold in this situation. One can also consider the corresponding conditions (SMP ) T alg S = M lin S, (MP ) T alg M lin S, ( ) f R[X], f 0 on K S real ɛ > 0, f + ɛ M S and ( ) f R[X], f 0 on K S q R[X] such that real ɛ > 0, f + ɛq M S. Again, (MP ) is strictly weaker than (SMP ) and ( ) is strictly weaker than ( ), but implies (SMP ). If ( ), resp., ( ), resp., (SMP ), resp., (MP ), holds then we say that ( ), resp., ( ), resp., (SMP), resp., (MP) holds for M S or that M S satisfies ( ), resp., ( ), resp., (SMP), resp., (MP). According to [Pu], also see [J], if K S is compact and there exists N such that N X 2 M S, then ( ) holds for M S. In certain cases the condition that there exists N such that N X 2 M S is automatically fulfilled; see [J P]. In [M2] various results in [K M], in particular, the results for dimension extension and for cylinders with compact cross-section are extended under suitable assumptions to quadratic modules; see [M2, Cor. 4.3, Cor 5.3]. 2 Basic Lemma The following general result is useful: Lemma 2.1 Let C be a compact Hausdorff space, A a commutative ring with 1 with 1 A for some integer n 2 and φ : A Cont(C, R) a (unitary) ring n homomorphism. Suppose f, g A are such that φ(f) 0, φ(g) 0 and sf +tg = 1 for some s, t A. Then there exist σ, τ A such that σf + τg = 1 and φ(σ), φ(τ) are strictly positive. 6

7 Proof: We suppress φ from the notation. Let s, t A be such that 1 = sf + tg. On the compact set L 1 := {p C s(p) 0}, tg = 1 sf 1. Thus g > 0 on L 1 so, for N sufficiently large, s + Ng > 0 on L 1. On C\L 1 this is obviously also true. Define s 1 = s + Ng, t 1 = t Nf. Thus 1 = s 1 f + t 1 g in A and s 1 > 0 on C. Choose a positive rational δ A so small that δfg < 1 on C. Choose a positive rational ɛ A so small that, on the compact set L 2 = {p C : g(p) ɛ}, f > 0, 1 > ɛδf and ɛt 1 + s 1 f > 0. Choose k so large that, on the set L 2, ɛt 1 + s 1 f > s 1 f(1 ɛδf) k and, on the set L 3 = {p C : g(p) ɛ}, s 1 f(1 ɛδf) k < 1. Choose r = s 1 δf k 1 i=0 (1 δfg) i. Choose σ = s 1 rg, τ = t 1 +rf. Thus 1 = σf + τg in A. It remains to verify that σ, τ > 0 on C. Using the identity (1 z) k 1 i=0 z i = 1 z k, we see that, on C, On L 2, On L 3, σ = s 1 rg = s 1 s 1 δfg k 1 (1 δfg) i i=0 = s 1 s 1 (1 (1 δfg) k ) = s 1 (1 δfg) k > 0. τ = t 1 + rf = t 1 + s 1 δf 2 k 1 (1 δfg) i i=0 t 1 + s 1 δf 2 k 1 (1 ɛδf) i = t 1 + (s 1 f/ɛ)(1 (1 ɛδf) k ) > 0. i=0 τ = t 1 + rf = t 1 + (f/g)rg = t 1 + (f/g)s 1 (1 (1 δfg) k ) = t 1 + s 1 f/g (s 1 f/g)(1 δfg) k = 1/g (s 1 f/g)(1 δfg) k > 0. This completes the proof. We apply Lemma 2.1 to C = K S and A = R[X]/I where I is some ideal of polynomials vanishing on K S. In the next section we will be interested in the case where n = 1 and I = {0}. Note: For K S compact, σ, τ > 0 on K S implies, by [Sc1, Cor. 3], that σ, τ T S. Corollary 2.2 Let K S be compact, f, g 0 on K S. Assume that f and g are relatively prime modulo T S T S and that fg T S. Then f T S and g T S. 7

8 Proof: Apply Lemma 2.1 with C = K S, A = R[X]/(T S T S ) together with [Sc1, Cor. 3] to obtain σ, τ T S, υ T S T S such that 1 = σf + τg + υ. Then f = σf 2 + τfg + fυ T S and g = σfg + τg 2 + gυ T S. Corollary 2.3 Assume f, g R[X] are relatively prime. K {fg} is compact and f, g 0 on K {fg}. Then (i) There exist σ, τ R[X] 2 such that 1 = σf + τg. (ii) M {fg} = M {f,g} = T {fg} = T {f,g}. Assume further that See [S1, Prop. 4.8] for another proof of Corollary 2.3 (i) in the case n = 1. Proof: Apply Lemma 2.1 with C = K {fg} and A = R[X] and [Sc1, Cor. 3] to obtain 1 = σf + τg, σ, τ T {fg}. Thus there exist σ i, τ i R[X] 2, i = 0, 1 such that σ = σ 0 + σ 1 fg, τ = τ 0 + τ 1 fg. Then 1 = σf + τg = (σ 0 + σ 1 fg)f + (τ 0 + τ 1 fg)g = (σ 0 + τ 1 g 2 )f + (τ 0 + σ 1 f 2 )g. This proves (i): 1 = σf + τg, σ, τ R[X] 2. Thus fg = σf 2 g + τg 2 f M {f,g}. Also, f = σf 2 + τfg T {fg} = M {fg} and, similarly, g T {fg} = M {fg}. This proves (ii). Lemma 2.1 is also closely related to results in [S2]. We illustrate by giving a proof of two key results in [S2]: Corollary 2.4 Let K S be compact, f 0 on K S, and suppose f T S + f (f) + (T S T S ). Then f T S. Proof: f = σ + fg, σ T S, g k = af + τ, k 1, a R[X], τ T S T S. af + (1 g k ) = 1 τ so f, 1 g are relatively prime modulo T S T S. Also f(1 g) = σ T S. Using this and the definition of g one checks that 1 g 0 on K S. Corollary 2.2 yields f T S. Corollary 2.5 Let K S be compact, f 0 on K S and suppose f = σ + τb, where σ, τ T S and b is such that f = 0 b > 0 on K S. Then f T S. Proof: By [Sc1, Cor. 3] applied to the set S { f 2 }, b = α βf 2, α, β T S. Then f = σ + τb = σ + τ(α βf 2 ) = (σ + τα) τβf 2. The conclusion follows by Corollary

9 3 Compact subsets of Lines A proper understanding of the case n = 1 is essential in dealing with the fiber sets that arise in the study of subsets of cylinders with compact cross-section. In this section we continue the analysis of this case begun in [K M, Sect. 2], focusing on the compact case. For related results see [Po R] and [S2]. Theorem 1.3 (b) is unsatisfactory unless we have a practical criterion on S for determining when T S is saturated. The following is such a criterion. Here, g denotes the derivative of g. Theorem 3.1 Let K S = k j=0[a j, b j ], b j 1 < a j, j = 1,..., k, S = {g 1,, g s }. Then T S is saturated if and only if the following two conditions hold: (a) for each endpoint a j i {1,, s} such that g i (a j ) = 0 and g i(a j ) > 0, (b) for each endpoint b j i {1,, s} such that g i (b j ) = 0 and g i(b j ) < 0. In fact, Theorem 3.1 is just a special case of a general criterion for curves proved in [S2, Th. 5.17]. For completeness we include our own proof. Proof: We prove the necessity of conditions (a) and (b). Assume T S is saturated. Suppose there is no i such that condition (a) holds for a j. Let a = a j. Fix c such that (c, a) K S =. Then (X a)(x c) T S, say (X a)(x c) = e σ e g e, σ e R[X] 2. Let E 1 = {e {0, 1} s g e (a) > 0}, E 2 = {e {0, 1} s g e (a) = 0}. Evaluating at X = a we see that (X a) 2 σ e for each e E 1. Consider the exponents e E 2 such that (X a) 2 does not divide g e. For each such e, exactly one of the g i appearing is divisible by X a (and not by (X a) 2 ) say g i = (X a)h i, and h i (a) = g i(a) 0. Consequently, dividing the equation (X a)(x c) = e σ e g e by X a and then evaluating at X = a we obtain a c 0, a contradiction. This proves the necessity of condition (a). The proof of the necessity of condition (b) is similar. We prove the sufficiency of conditions (a) and (b). Assume (a) and (b) hold. According to Theorem 1.3 (b) it suffices to show that T S contains the natural generators. We begin with the linear generators. Let a = a 0. By (a) there exists i such that g i = (X a)h i, h i (a) = g i(a) > 0. Then h i and X a are each 0 on K S and gcd(h i, X a) = 1 so, by Corollary 2.2, X a T S. A similar argument shows that b X T S where b = b k. Now consider a generator of the form (X a)(x b), a = a l, b = b l 1, l {1,..., k}. By (a) and (b) there exists i, j such that g i (a) = 0, g i(a) > 0, g j (b) = 0, g j(b) < 0. Factor g i, g j as g i = (X a)h i, g j = (X b)h j. Then (X a)(x b)((x b)h i + (X a)h j ) = (X b) 2 g i + (X a) 2 g j T S, and (X a)(x b) and (X b)h i +(X a)h j are each 0 on K S and are relatively prime, so by Corollary 2.2, (X a)(x b) T S. 9

10 Corollary 3.2 Let K S be compact, S = {g 1,, g s }. Assume that K S has no isolated points. Then T S is saturated if and only if for each endpoint a K S there exists i {1,, s} such that x a divides g i but (x a) 2 does not. Corollary 3.3 Let K be a compact semi-algebraic set in R without isolated points, N its set of natural generators, and π the product of the elements of N. Then M {π} = M N = T {π} = T N. Proof: Applying Corollary 3.2 to S = {π} we see that T {π} is saturated. Since K {π} = K = K N, and T N is saturated, this implies T {π} = T N. It remains to show that π M N. Decompose π as π = fq 1... q t where f = (X a)(b X) is the product of the linear natural generators and q 1,..., q t are the quadratic natural generators, t 0. Suppose t = 0. Then π = (X a)(b X) M {X a,b X} by Corollary 2.3. Suppose t > 0. Then π = π q t where π = fq 1... q t 1. By Corollary 2.3, π M {π,q t}. By induction on t, π M N where N = {X a, b X, q 1,..., q t 1 }. Thus π M N {q t } = M N. We need no isolated points in Corollaries 3.2 and 3.3: Take K = {0}, so N = {X, X} and π = (X)( X) = X 2. M { X 2 } M {X, X}. On the other hand, writing X = a 2 b 2, a, b R[X], we see that X 2 = (a 2 b 2 )X = a 2 X + b 2 ( X) M {X, X}, so M {X, X} = T {X, X}. This suggests that M N = T N may hold even when K has isolated points. In fact this is the case. Theorem 3.4 Let K be a compact semi-algebraic set in R, N its set of natural generators. Then M N = T N. Note: If K is not compact then M N = T N holds only in a few cases: if N = 1 or if N = 2 and K has an isolated point; see [K M, Th. 2.5]. Proof: Let N = {g 1,..., g s }. It suffices to show that M N is closed under multiplication, equivalently, that g i g j M N for all i j. Case 1: g i, g j are both linear. g i = X a, g j = b X, a b. If a = b then g j = g i. Write g j = f 2 g 2, f, g R[X]. Then g i g j = f 2 g i g 2 g i = f 2 g i + g 2 g j M {gi,g j }. If a < b then {g i, g j } are the natural generators of the compact set [a, b] so g i g j M {gi,g j } by Corollary

11 Case 2: g i is linear, g j is quadratic. Replacing X by X if necessary, we can assume g i = X a. g j = (X c)(x d), a c < d. If a = c then g i g j M {gi,g j } by [K M, Th. 2.5]. Suppose a < c. Fix β R so large that β X > 0 on K. β X M N by [J P, Remark 4.7]. Applying Corollary 3.3 to [a, c] [d, β] we see that g i g j = (X a)(x c)(x d) M {X a,(x c)(x d),β X} M N. Case 3: g i = (X c)(x d), g j = (X c )(X d ), c < d c < d. If c = d then g i g j M {gi,g j } by [K M, Th. 2.5]. Suppose c > d. Use [J P, Remark 4.7] to choose α < c and β > d so that X α, β X M N. Applying Corollary 3.3 to [α, c] [d, c ] [d, β] yields g i g j M {X α,(x c)(x d),(x c )(X d ),β X} M N. Corollary 3.5 For n = 1, K S compact, the following are equivalent: (i) M S is saturated, i.e., M S = T alg S (ii) M S contains the natural set of generators of K S (iii) M S is closed. Proof: By [J P, Remark 4.7] ( ) holds for M S so, in particular, (SMP) holds for M S. (i) (iii) follows from this fact. (i) (ii) is clear. (ii) (i) follows from Theorem 3.4 and Theorem 1.3(b). Corollary 3.5 can be viewed as the module analog of Theorem 1.3 (b). One would also like to have a module analog of Theorem Uniform Degree Bounds We continue to assume n = 1. Theorems 4.1 and 4.5 and Corollary 4.3 in this section are used in the next section, in the proof of Theorem 5.3 and Corollary 5.5. These results, suitably formulated, hold over an arbitrary real closed field. Fix a non-empty basic closed semi-algebraic set K in R with N = {s 1,..., s t } its set of natural generators. T N is saturated by Theorem 1.3 so each P R[X] non-negative on K is expressible as (1) P = σ e s e s e t t e {0,1} t with σ e R[X] 2. 11

12 Theorem 4.1 Each P nonnegative on K has a presentation (1) with the degree of each term σ e s e s et t bounded by the degree of P. Proof: This is just a matter of keeping track of degrees in the proof of [K M, Th. 2.2]. By the proof of [K M, Th. 2.2] there are four cases to consider: Case 1. P 0 on R. In this case P is a sum of squares so there is nothing to prove. Case 2. K has a least element a and P factors as P = (X d)q with d a, Q 0 on K. In this case, Q has a presentation of the required form, by induction on the degree. Replacing Q by this presentation in the identity P = (X a)q + (a d)q and rearranging terms then yields a presentation of P of the required form. Note: We are using the fact that X a is one of the natural generators of K. Case 3. K has a greatest element a and P factors as P = (d X)Q with d a, Q 0 on K. In this case proceed as in Case 2, writing P = (a X)Q + (d a)q. Case 4. There exist a, b K, a < b, with (a, b) K = and P factors as P = (X d)(x e)q with a d < e b and Q 0 on K. In this case choose λ > 0 so that F := (X d)(x e) λ(x a)(x b) 0 on R. This is possible, e.g., choose λ so that the equation F = 0 has a root of multiplicity two. Then F is a sum of squares, and we can proceed as in Case 2, using the identity P = F Q + λ(x a)(x b)q. Note: We are using the fact that (X a)(x b) is one of the natural generators of K. Corollary 4.2 Suppose K = K {g1,...,g k } and T {g1,...,g k } is saturated. Then each P nonnegative on K has a presentation (2) P = τ i g i g i k i {0,1} k τ i R[X] 2, where the degrees of the terms are bounded by some number of the form deg(p ) + N, with N depending only on g 1,..., g k. k, Proof: There exist presentations s j = ρ jp g p g p k k, p {0,1} k ρ jp R[X] 2, for each j. Substituting these into (1) and rearranging terms one obtains (2) with the degree of each term at most deg(p ) + t max{deg(ρ jp g p g p k) : j, p}. k 12

13 It does not seem possible to choose N in Corollary 4.2 so as to depend only on the degrees of g 1,..., g k. Unfortunately, this limits what we are able to prove later in Section 5, in Theorem 5.3. We now consider the corresponding question for modules. Is it always possible to find presentations P = σ 0 + σ 1 s σ t s t, σ i R[X] 2, with the terms of bounded degree? For t 1 it is trivially true by Theorem 4.1 (with deg(p ) serving as the bound). If K is not compact and t 2 then such a presentation may not exist. (M N is saturated iff either t 1 or if t = 2 and K has an isolated point; see [K M, Th. 2.5].) If such a presentation does exist, then deg(p ) serves as a degree bound. If K is compact and t = 2 then one checks that deg(p ) + 1 serves as a degree bound. To summarize: Corollary 4.3 If either t 1 or t = 2 and K either has an isolated point or is compact then every polynomial P non-negative on K has a presentation P = σ 0 + σ 1 s σ t s t with the degree of each term bounded by deg(p ) + 1. What if K is compact and t 3? In view Theorem 4.1, this reduces to the question of whether a degree bound exists for the products s i s j, i < j. Such a bound exists if s i, s j are both linear or if at least one of s i, s j is quadratic and K {si,s j } has an isolated point. In remaining cases (i.e, the cases where at least one of s i, s j is quadratic and K {si,s j } has no isolated point) there is no degree bound in general. Example 4.4 (a) Suppose s 1 = X a, s 2 = (X b)(x c), where a < b < c are fixed reals. Then for any real β > c, s 1 s 2 has a presentation (3) s 1 s 2 = σ 0 + σ 1 s 1 + σ 2 s 2 + σ 3 (β X) with σ i R[X] 2 depending on β. We claim that for any such presentation, as β the maximum of the degrees of the σ i necessarily tends to infinity. Otherwise, by the Transfer Principle, for any real closed field R R and any β R, β > c, we would have a presentation (3) with σ i R[X] 2. Choose any such (nonarchimedean) R, e.g., take R to be the field of formal Puiseux series with real coefficients. Denote by v the unique finest valuation on R compatible with the ordering, and choose β to be positive and infinitely large relative to R, i.e., v(β) < 0. Write σ i = f 2 ij, f ij R[X]. Choose d R, d > 0, with v(d) equal to the minimum of the values of the coefficients of the f ij, i {0, 1, 2} and the βf 3j. Case 1: v(d) 0. Then (3) pushes down to the residue field giving an equation of the form s 1 s 2 = α 0 + α 1 s 1 + α 2 s 2, α i R[X] 2. This contradicts [K-M, Th. 2.5]. Case 2: v(d) < 0. Then dividing (3) by d 2 and pushing down to the residue field yields an equation of the form 0 = α 0 + α 1 s 1 + α 2 s 2, α i R[X] 2, α i 0 for 13

14 some i. Since s 1 and s 2 are both strictly positive on the infinite set (a, b), this is not possible. (b) A similar remark applies to presentations of the form s 1 s 2 = σ 0 + σ 1 s 1 + σ 2 s 2 + σ 3 (β + X) + σ 4 (β X), σ i R[X] 2, where s 1 = (X a)(x b), s 2 = (X c)(x d), a < b < c < d are fixed reals, β > max{ a, d}. We turn now to the case where K is the empty set. We use the next result in the proof of both Theorem 5.3 and Corollary 5.5. Actually, for the proof of Theorem 5.3 we need only a weaker preordering version of the result. The weaker preordering version holds even in the multivariable situation and is a consequence of the Positivstellensatz. Theorem 4.5 Given a positive integer k and non-negative integers d 1,..., d k, there exists a positive integer N such that for any real closed field R and any set of polynomials S = {g 1,..., g k } in the polynomial ring R[X] with deg(g j ) d j, j = 1,..., k, if K S =, then there exist σ i R[X] 2 of degree N such that 1 = k i=0 σ i g i. (Convention: g 0 = 1.) Proof: If 1 / M S then, by [Br, Satz 1.8], there exists a real prime ideal p in R[X] such that the quadratic form φ which is obtained from φ = 1, g 1,..., g k by deleting the entries belonging to p is strongly anisotropic over the residue field, call it k(p), of R[X] at p. (This works even in the multivariable situation, in fact it works for any commutative ring.) The point is, since we are in the 1-variable situation, k(p) has transcendence degree 1 over R, so there exists an ordering of k(p) making φ positive definite [P, Th. 9.4]. By the Transfer Principle this implies K S. The degree bounds follow from a standard ultrapower argument: If the result is false then for each integer i 1 there exists a real closed field R i and S i = {g i1,..., g ik } R i [X] with deg(g ij ) d j, j = 1,..., k, K Si = but with 1 not expressible as k j=0 σ j g ij with all σ j R i [X] 2 of degree i. Let R = ( i N R i )/U, U a non-principal ultrafilter of N. R is a real closed field. In the polynomial ring R[X] we have the set S = { g 1,..., g k } defined in the obvious way from the sets S i. If g j (ỹ) 0, j = 1,..., k holds for some ỹ R, ỹ = (y i ) i N mod U, then the set of i N satisfying g ij (y i ) 0, j = 1,..., k belongs to U. Since this set is empty, this is a contradiction. This proves K S =. Thus 1 M S, i.e., we have a presentation 1 = k j=0 σ j g j, with each σ j R[Y ] 2. This yields polynomials σ ij R i [X] 2 with bounded degrees (bounded by the degrees of the σ j ) with the 14

15 property that the set of i N such that 1 = k j=0 σ ij g ij holds belongs to U. In particular, 1 = k j=0 σ ij g ij holds for infinitely many i, a contradiction. Note: Using the identity P = ( P +1) 2 ) 2 ( P 1 2 )2, we also get degree bounds for presentations P = k i=0 σ i g i depending only on k and the degree of P and the degrees of g 1,..., g k, for each P R[X]. 5 Subsets of Cylinders We fix the terminology. We consider the polynomial ring R[X, Y ] in n+1 variables X 1,..., X n, Y with coefficients in R. We suppose S is a finite subset of R[X, Y ]. When is it true that (SMP) (or ( ) or ( )) holds for T S? Our first result gives a general necessary condition. Let L R n+1 be any line, λ : R = L R n+1 a linear isomorphism onto this line, and λ : R[X, Y ] R[Z] the corresponding map between the polynomial rings. Thus λ 1 (K S ) is the basic closed semialgebraic subset of R defined by the set λ (S). Theorem 5.1 Suppose that (SMP) holds for T S and λ 1 (K S ) is not compact. Then λ (S) contains the natural generators of λ 1 (K S ) (up to scaling by positive reals). Note: If λ 1 (K S ) is compact then T λ (S) satisfies ( ). Thus, one can conclude that T λ (S) satisfies ( ) in any case. Proof: By Theorem 1.3, it suffices to prove that the (closed) preordering T λ (S) contains the natural generators of λ 1 (K S ). To simplify the notation needed in the proof, the coordinates of R n+1 are arranged so that L is the Y -axis and λ : R L R n+1 is the isomorphism defined by y (0, y). Thus, λ : R[X, Y ] R[Y ] is given by X i 0, i = 1,..., n, Y Y. If λ 1 (K S ) = R there is nothing to prove. So assume that λ 1 (K S ) R. Case 1: Suppose that λ 1 (K S ) contains a smallest element, say a. (The case of a largest element is handled in exactly the same way.) The natural generator belonging to a is the linear polynomial Y a. It is claimed that Y a belongs to T λ 1 (S). For each 1 n N define b n = a 1, c n n = b n n. Then: (b n ) n increases monotonically with limit a; (c n ) n decreases monotonically with limit ; for all n, b n > c n. The interval [c n, b n ] L is compact and does not meet the closed set K S. Thus, the distance δ n = dist([c n, b n ], K S ) is positive. For each n, let E n be the ellipsoid with center 1 2 (b n + c n ), one axis on the line L, the other perpendicular to L. The half axis on L has length 1 2 (b n c n ), the 15

16 perpendicular half axis has length δ n. The ellipsoid is given by the polynomial ( Y 1 2 P n = (b ) 2 n + c n ) 1 (b + 2 n c n ) The interior of the ellipsoid is the set n ( ) 2 Xi 1. i=1 δ n N(P n ) = {(x, y) R n+1 : P n (x, y) < 0}. Every point of N(P n ) has a distance less than δ n from the line segment [c n, b n ], hence N(P n ) K S =. This means that P n is positive semidefinite on K S. Each linear functional L 0 on R[Y ] non-negative on T λ (S) lifts to a linear functional L 1 = L 0 λ on R[X, Y ] non-negative on T S. Since T S satisfies (SMP), L 0 (λ (P n )) = L 1 (P n ) 0 for all such L 0. It follows that λ (P n ) Tλ lin (S) = T λ (S). One computes ( ( λ 4 1 (P n ) = Y b ) ( )) n Y b n b2 n b n c n b n c n b n c n b n c n Since 1 b n c n converges to 0 as n one concludes that the sequence ( ) bn c n λ (P n ) 4 of polynomials converges to Y a. Once again, closedness of T λ (S) implies Y a T λ (S). Case 2: Suppose that a, b λ 1 (K S ), a < b, (a, b) λ 1 (K S ) =. It is claimed that the natural generator (Y a)(y b) belongs to T λ (S). The method of proof is much the same as in Case 1; let n 0 N be such that b a > 2 n 0. For n n 0 one defines a n = a + 1 n, b n = b 1 n. Then: a n < b n ; a n a; b n b; the compact line segment [a n, b n ] does not meet K S. Set δ n = dist([a n, b n ], K S ), and let ( Y 1 2 P n = (b ) 2 n + a n ) 1 (b + 2 n a n ) n n ( ) 2 Xi 1. Again, N(P n ) is the interior of the associated ellipsoid E n, and N(P n ) K S =. Thus, P n 0 on K S. Again, since T S satisfies (SMP) and T λ (S) is closed one gets λ (P n ) T λ (S). The sequence converges to i=1 ( (1 ) 2 2 (b n a n ) λ (P n )) δ n ( Y 1 2 (b + a)) 2 ( 1 2 (b a)) 2 = Y 2 (b + a)y + ab = (Y a)(y b). 16 n

17 Once again, since T λ (S) is closed the limit also belongs to T λ (S). We assume now that N X 2 0 on K S for some N (so K S is a subset of a cylinder of the form B R where B := {x R n : x N}). For each a B let L a = λ a (R) where λ a : R R n+1 is defined by y (a, y). The line L a lies in the cylinder B R. The corresponding map λ a : R[X, Y ] R[Y ] is given by X i a i, Y Y. λ 1 a (K S ) is the basic closed set in R defined by λ a(s). Theorem 5.1 and [Sc2, Th. 1] (see Theorem 1.7) combine to yield the following: Corollary 5.2 Suppose K S is a subset of a cylinder of the form B R, where B := {x R n : x N}, N 0. For each a B define λ a : R R n+1 as above. Then: (a) T S satisfies (MP). (b) The following are equivalent: (i) T S satisfies (SMP). (ii) For each non-compact λ 1 a (K S ) (up to scalings by positive reals). λ 1 a (K S ), λ a(s) contains the natural generators for Proof: (a) Since every polynomial non-negative on R is a sum of squares, (MP) holds for each T λ a (S), so (a) is immediate from [Sc2, Th. 1]. (b) The implication (i) (ii) follows from Theorem 5.1. (ii) (i): To be able to apply [Sc2, Th. 1] we must show that each T λ a (S) satisfies (SMP). For λ 1 a (K S ) compact this is always the case. For λ 1 a (K S ) non-compact it is a consequence of assumption (ii). See Corollary 6.4 below for a module version of Corollary 5.2. We are unable to prove that Corollary 5.2(b) holds with (SMP) replaced by ( ). However, we are able to prove the following weaker result: Theorem 5.3 Suppose the following conditions hold: (a) There exists N such that N X 2 T S and (b) For each non-empty λ 1 a (K S ), λ a(s) contains the natural generators for λ 1 a (K S ) (up to scaling by positive reals). Then T S satisfies ( ), i.e., for each P R[X, Y ] such that P 0 on K S, there exists Q R[X, Y ] such that for all real ɛ > 0, P + ɛq T S. See Corollary 5.5 below for a module version of Theorem 5.3. It follows from [Sc1, Cor. 3] that condition (a) of Theorem 5.3 holds iff there exist elements f 1,..., f t T S R[X] such that the subset K {f1,...,f t } of R n is compact. 17

18 Proof: Suppose that P R[X, Y ] belongs to T alg S one has P a := λ a(p ) = k i=0 p i (a)y i T alg λ a(s) (b), T λ a (S) = T alg λ a(s) (4) P a =. Writing P = k i=0 p i (X)Y i for each a B. Because of condition for each a. Thus, for each a there is a presentation i {0,1} t σ a,i λ a(s 1 ) i1... λ a(s t ) it (where S = {s 1,..., s t } and the σ a,i R[Y ] are sums of squares). By assumption (b) we may assume there is a uniform bound for the degrees of the sums of squares occuring in these representations that is independent from a. If λ 1 a (K S ) then the degrees can be bounded by k by Theorem 4.1. For λ 1 a (K S ) = a uniform bound exists by the note following Theorem 4.5. Pick any ε > 0. For each a, consider σ a,i s i s it t, P σ a,i s i s it t i {0,1} t i {0,1} t as polynomials in the variable Y with coefficients from R[X]. There is some large even number D that bounds the Y degrees of these polynomials and is independent from a. Write D σ a,i s i s it t = p a,d Y d, P D σ a,i s i s it t = q a,d Y d. i {0,1} t d=0 i {0,1} t d=0 Note that q a,0 (a) =... = q a,d (a) = 0 for each a B. Hence there is an open semi-algebraic neighborhood U a of a in R n such that D q a,d (x) < ε d=0 2 for every x U a. By compactness of B, there is a finite subset E of B such that B a E U a. On B there is a continuous semi-algebraic partition of unity subordinate to this cover, say e a, a E, with 0 e a 1 and e a (x) = 1 for each x B. Each e a has a nonnegative square root f a, which is also a continuous semi-algebraic function. Using Stone Weierstrass approximation on the compact set B one finds polynomials F a, a E, so close to the continuous semi-algebraic functions f a that p a,d (fa 2 Fa 2 )(x) < ε 2 a E for every d = 0,..., D and every x B. The polynomial P can be written in the a E 18

19 form P = P 1 + P 2 where ( ) P 1 = σ a,i Fa 2 i {0,1} t a E ( P 2 = D r d Y d = D d=0 + D d=0 ( d=0 s i s i t t T S, q a,d Fa 2 a E ) q a,d (fa 2 Fa 2 ) a E ) Y d ( Y d + D d=0 p a,d (fa 2 Fa 2 ) a E The choice of the approximations yields r d (x) = q a,d fa 2 (x) + p a,d (fa 2 F 2 a )(x) a E a E q a,d fa 2 (x) + p a,d (fa 2 F 2 a )(x) a E a E a E q a,d (x) + a E p a,d (fa 2 Fa 2 )(x) < ε for each x B. But then [Sc1, Cor. 3] implies that ε ± r d T {N X 2 } for every d = 0,..., D. The argument in [K M, Th. 5.1] shows that εy 2 + (ε + r d )Y + ε (Y + 1) 2 T {N X 2 } + (Y 2 + 1)T {N X 2 }. As in loc.cit., one adds εq where Q = 2 + Y + 3Y 2 + Y 3 + 3Y Y D 2 + Y D 1 + 2Y D to both sides of P = P 1 + P 2 and obtains ) Y d. P + εq = i={0,1} t + D d=0 d even ( ) σ a,i Fa 2 a E (ε + r d )Y d + D s i s i t t d=0 d odd εy d+1 + (ε + r d )Y d + εy d 1 T S. Since the polynomial Q is independent from ε, the proof is finished. There is one case for which the results proved so far give even a necessary and sufficient condition for ( ) to hold: Corollary 5.4 Suppose the following conditions hold: (a) There exists N such that N X 2 T S and (b) Each nonempty λ 1 a (K S ) is unbounded. Then the following conditions are equivalent: (i) T S satisfies condition ( ). (ii) For each non-empty λ 1 a (K S ), λ a(s) contains the natural generators for λ 1 a (K S ) (up to scaling by positive reals). 19

20 If we look carefully at the proof of Theorem 5.3 we see that in fact we have proved more than is stated: We have shown that for each ɛ > 0, P = P 1 + P 2, P 1 T S and P 2 + ɛq k T {N X 2 }Y 2k + k T {N X 2 }Y 2k (1 + Y ) 2. We may not need all the various sorts of terms in T S to represent P 1. If S = {s 1,..., s k } and e i {0, 1}, e i > 1, we need the term involving s e s e k k only if there exists a such that the λ a(s i ) with e i = 1 actually occur as (distinct) natural generators of λ 1 a (K S ). For example, if the hypothesis of Corollary 4.3 holds for each non-empty fiber, then we can arrange things so P 1 M S. Corollary 5.5 Suppose the following conditions hold: (a) There exists N such that N X 2 M S. (b) For each non-empty λ 1 a (K S ), λ a(s) contains the natural generators for λ 1 a (K S ) (up to scaling by positive reals). (c) Each non-empty λ 1 a (K S ) has the form (, ) or (, p], [q, ), (, p] [q, ) (perhaps with a discrete point added) or [p, q]. Then M S satisfies ( ), i.e., for each P R[X, Y ] such that P 0 on K S, there exists Q R[X, Y ] such that for all real ɛ > 0, P + ɛq M S. 6 Module Version of Schmüdgen s Theorem We prove the following module version of the Theorem in [Sc2] quoted in the introduction: Theorem 6.1 Let h 1,..., h d R[X]. Suppose there exists N such that N di=1 h 2 i M S. Denote by V h R d the algebraic set associated to the R-algebra R[h] := R[h 1,..., h d ]. Suppose that the image of K S under the map R n V h, x (h 1 (x),..., h d (x)), is dense in the set {z V h : g(z) 0 for all g(h) R[h] M S }. If (SMP) (resp., (MP)) holds for M Sλ for each λ in the closed ball of radius N about the origin in R d, then (SMP) (resp., (MP)) holds for M S. The density assumption in Theorem 6.1 is somewhat restrictive. At the same time, this assumption holds in a wide variety of interesting cases. The proof of Theorem 6.1 follows along the same lines as the proof given in [Sc2]. We need two lemmas. Lemma 6.2 Suppose p R[h], p 0 on K S. Then p + ɛ M S holds for all real ɛ > 0. 20

21 Proof: The hypothesis N d i=1 h 2 i M S implies the quadratic module R[h] M S is Archimedean in R[h]. Let z V h be such that g(z) 0 for all g(h) R[h] M S. Write p = f(h), f R[Z 1,..., Z d ]. By hypothesis there is a sequence x (j) in K S, (h 1 (x (j) ),..., h d (x (j) ) z, so p(x (j) ) = f(h 1 (x (j) ),..., h d (x (j) )) f(z) as j. It follows that f(z) 0 for any such z. By Jacobi s generalization of the Kadison- Dubois Theorem [J, Th. 4], this implies p + ɛ = f(h) + ɛ M S for any real ɛ > 0. We use the notation of [Sc2]. L is a linear functional on C[X], L(M S ) 0. N is the ideal in C[X] defined by N = {p C[X] : L(pp) = 0}. D L = C[X]/N comes equipped with an involution p + N p + N and a scalar product p 1 + N, p 2 + N := L(p 1 p 2 ). Each p C[X] defines a linear operator π L (p) on D L by π L (p)(q + N ) = pq + N. We use the following easy version of [Sc2, Prop. 2]: Lemma 6.3 If p C[h] then the operator π L (p) on D L is bounded and π L (p) p K where p K := sup{ p(x) : x K S }. Proof: Using π L (p) 2 = π L (pp) and p 2 = pp, we are reduced to the case p R[h]. Fix ɛ > 0 and let ρ 2 = p 2 K + ɛ. By Lemma 6.2, ρ 2 p 2 M S so, for q C[X], ρ 2 qq p 2 qq = (ρ 2 p 2 )qq M S. It follows that ρ 2 L(qq) L(p 2 qq), i.e., ρ 2 q + N 2 π L (p)(q + N ) 2. Since q C[X] is arbitrary, this implies ρ π L (p). Since ɛ > 0 is arbitrary, the result follows. It follows from Lemma 6.3 that the operators π L (h 1 ),..., π L (h d ) are bounded. One finishes the proof of Theorem 6.1 now, exactly as in [Sc2]. In terms of basic closed semi-algebraic subsets of cylinders with compact crosssection, set-up as in Section 5, Theorem 6.1 yields the following: Corollary 6.4 Let S R[X, Y ] where R[X, Y ] denotes the polynomial ring in n + 1 variables X 1,..., X n, Y. Suppose N X 2 M S and, for each x R n, x / π(k S ), there exists g M S R[X] such that g(x) < 0, where π : R n+1 R n denotes the projection (x, y) x. Then: (a) (MP) holds for M S. (b) If (SMP) holds for M λ a (S) holds for M S. 7 Applications for each non-compact fiber λ 1 a (K S ) then (SMP) In [K S] the authors asked whether [K M, Cor. 5.4] generalizes to sets of the form K L, K compact, L non-compact closed semialgebraic in R (with the natural description). We are now able to prove this. See [Po, Cor. 3] for another proof. 21

22 Denote by R[X, Y ] the polynomial ring in n + 1 variables X 1,..., X n, Y. Consider a subset S = {g 1,..., g s } of R[X, Y ] where the polynomials g 1,..., g s involve only the variables X 1,..., X n, so K S has the form K R, K R n. We further assume that K is compact. We describe this situation by saying that K S is a cylinder with compact cross-section. Given L closed semialgebraic in R let N R[Y ] be the natural set of generators for L. In this situation we have the following: Corollary 7.1 Let S L := S N (so K SL = K L). Then ( ) holds for T SL. Proof: Immediate from Theorem 5.3. Our next application is to generalized polyhedra. Assume that K S is the basic closed semi-algebraic set in R n is defined by S = {l 1,..., l s } where l 1,..., l s are linear, so K S is a closed polyhedron. If K S is compact then, by [J P, Th. 4.2], ( ) holds for M S. What if K S is not compact? If K S contains a cone of dimension 2 then, by Theorem 1.5 (MP) fails for T S. In [K M] the authors ask whether ( ) holds in the remaining case, i.e., when K S is not compact and does not contain a cone of dimension 2. We are now in a position to settle this question completely. We need two preliminary lemmas: Lemma 7.2 Let n 1. Let P be a closed polyhedron in R n and let a P. Then P is compact if and only if there is no infinite half line starting at a and contained in P. Proof: We may assume that a = (0,..., 0). Suppose P is not compact. Then, for each positive integer i there exists p i P with p i i. Using the compactness of the unit sphere S n 1 there exists a subsequence {p ij } of {p i } with lim j p ij p ij = q Sn 1. For t R, t 0, t i j for j sufficiently large, so t p i j p ij is on the line segment joining p ij and the origin so is in P. Thus tq is a limit of elements of P so is in P. This proves that the half line {tq t R, t 0} lies in P. The other assertion is clear. Lemma 7.3 Let n 1. Let P be a non-compact closed polyhedron in R n+1 and let a P. Then the following are equivalent: (i) There is exactly one infinite half line starting at a and contained in P. (ii) There is a subset S 1 of the set of linear polynomials defining P such that K S1 is a cylinder with compact cross-section. 22

23 Proof: (ii) (i) is clear. (i) (ii): Let S = {g 1,..., g s } be the set of linear polynomials defining P. We may assume a = (0,..., 0). By Lemma 7.2, {tr t R, t 0} P for some r R n+1, r = 1. Making an affine change of coordinates, we can assume r = (0,..., 0, 1). Let q be any vector on the hyperplane through the origin orthogonal to r with q = 1. For each positive integer k, the half-line {t(q + kr) t R, t 0} does not lie in P, i.e., it meets the set {b R n+1 g i (b) < 0} for some i {1,..., s}. Fixing q and letting k vary, using the fact that S is finite, this means there exists i {1,..., s} such that the hyperplane {b R n+1 g i (b) = 0} intersects the plane generated by q and r in a line parallel to r (i.e., Y does not appear in g i ) of the form {αq + tr t R}, α 0 and {b R n+1 g i (b) 0} intersects the plane generated by q and r in the region {t 1 q + t 2 r t 1, t 2 R, t 1 α}. This holds for any q S n orthogonal to r. It follows, using Lemma 7.2, that if {i 1,..., i k } = {i 1 i s, Y does not appear in g i } then K {gi1,...,g ik } is a cylinder in R n+1 with compact base. Corollary 7.4 Let n 1. Let P be a closed polyhedron in R n+1 defined by a finite set S of linear polynomials. If P is not compact and does not contain a 2-dimensional cone then ( ) holds for M S. Proof: According to Lemmas 7.2 and 7.3, after a suitable affine change in coordinates, there exists a subset S 1 S R[X 1,..., X n ] such that K S1 is a cylinder with compact cross-section. The result follows, applying Corollary 5.5. The fact that condition (a) of Corollary 5.5 holds follows by applying [J P, Theorem 4.2] to the compact polyhedron K S1 R n. In summary then, we have the following: Theorem 7.5 Let n 1. Let P be a closed polyhedron in R n+1 defined by a finite set S of linear polynomials. (i) If P is compact then ( ) holds for M S. (ii) If P is not compact but does not contain a 2-dimensional cone then ( ) holds for M S. (iii) If P contains a 2-dimensional cone then (MP) fails for T S. 8 Examples in the Plane Example 8.1 Consider {Y X 2 } R[X, Y ]. K {Y X 2 } is the region above the parabola Y = X 2 in R 2. K {Y X 2 } does not contain a 2 dimensional cone. On the other hand, the isomorphism φ : R 2 R 2, (x, y) (x, y x 2 ), 23

24 carries K {Y X 2 } onto K {Y } which does contain a 2 dimensional cone. By Propositions 1.4 and 1.5, T {Y } = T{Y lin } T alg. Applying the induced algebra isomorphism φ : R[X, Y ] R[X, Y ], X X, Y Y X 2, yields T {Y X 2 } = T lin {Y X 2 } T alg, so T {Y X 2 } is closed and (MP) fails for T {Y X 2 }. Example 8.2 Let S 1 = {X, 1 X, Y 1, 1 XY }, S 2 = {X, 1 X, XY 1}. By Corollary 5.5 M S1 and M S2 satisfy condition ( ). Example 8.3 Let S 1 = {X, 1 X, Y 2 X 3 }, S 2 = {X, 1 X, Y 3 X 2 }. By Corollary 5.5, M S1 satisfies ( ). By Theorem 5.1, T S2 does not satisfy (SMP). By Corollary 6.4, M S2 does satisfy (MP). In [K S] the authors ask for examples where (SMP) holds but ( ) does not hold, and for examples where TS lin T S. Although we are unable to settle this issue yet, we note that TS lin = T S does hold when n = 1. Also, in the special case where S is a set of linear polynomials TS lin = T S holds when n = 2 (using Theorem 7.5 and Proposition 1.4 (ii)) and also when n = 3 except possibly in the case when K S contains a 2-dimensional cone but does not contain a 3-dimensional cone. What happens in this exceptional case is not clear. Also, in this regard, the following two examples are interesting. Example 8.4 Let S = {X, Y, 1 XY }. The polynomial XY is bounded on K S and one checks that (SMP) holds for M S {XY λ, (XY λ)} for each 0 λ 1. Thus by Theorem 6.1, (SMP) holds for M S. It is not known if ( ) holds for T S. This example is due to K. Schmüdgen. We note the following: Proposition 8.5 Let S and S R[X] (any number of variables) and assume that K S = K S. Assume that (SMP) holds for T S and that S TS lin. Then (SMP) holds for T S. Proof: But T alg S If S T lin S = T alg S then T S TS lin lin (since T S. It follows that T alg = T lin S S lin is a preordering), therefore TS T lin = T S lin. S. Example 8.6 In Example 8.2, the set K S2 was defined using the set S 2 = {X, 1 X, XY 1}. But it can also be defined by the set S 3 = {1 X, Y, XY 1}. According to Theorem 1.7, (SMP) holds for T S3. Is it true that ( ) holds for T S3? This would be true by Theorem 5.3 if we could show that X + N T S3 for N sufficiently large. Unfortunately, we have the following: 24

25 Claim 1: If N is a positive integer, then X + N / T S3. contradiction that X + N T S3, there is a representation Assuming by way of X + N = 1 i,j,k=0 σ ijk (1 X) i (XY 1) j Y k with σ ijk sums of squares in R[X, Y ]. Since the variable Y does not occur on the left hand side one concludes that σ ijk = 0 if j + k 1, hence X + N = σ 0 + σ 1 (1 X), where σ 0, σ 1 are sums of squares in R[X]. But then (1+σ 1 )(X+N) = σ 0 +(N +1)σ 1, hence X + N is a sum of squares in R(X) which is false. On the other hand, we have: Claim 2: X + εy T S3 for every 0 < ε R. Note that X + εy = (X + 1 Y ) + (ε n 1 )Y T n S 3 if 1 n N such that 1 ε and X + 1 Y T n n S 3. Thus it suffices to prove that there are arbitrarily large numbers n N with nx + Y 1 T S3. The proof is by induction on n. n = 1: (XY 1)(1 X) = XY 1 X 2 Y + X T S3. Adding X 2 Y T S3 and Y (1 X) T S3 one gets X + Y 1 T S3. n n + 1: (n + 1)X + Y 1 nx 2 XY = (nx + Y 1)(1 X) T S3. Adding nx 2 T S3, XY 1 T S3 and 1 T S3 one obtains (n + 1)X + Y 1 T S3. By Claim 2, X T S 3, so T S2 T S 3 TS lin 3. Using Proposition 8.5 this provides a second proof that (SMP) holds for T S3. The question of whether or not ( ) holds for T S3 remains open. 9 Some Open Problems 1. In Theorem 5.3 is it possible to replace assumption (a) with the (apparently weaker) assumption that there exists N such that N X 2 0 on K S? Note: If the answer is no then we have an example where (SMP) holds for T S but ( ) fails for T S. This would answer Open Problem 3 in [K M, Sect. 6]. 2. In Theorem 5.3 are the strong assumptions (b) on the fibers actually necessary? If they are necessary then again we have the answer to Open Problem 3 in [K M]. 3. Does the converse of Theorem 1.7 hold? This seems unlikely. By Theorem 5.1 it is true when the fibers are linear. To the extent that the converse of Theorem 1.7 is true, it provides a way of studying the question of when (SMP) and (MP) hold by induction on the dimension. 4. Suppose n = 2, S = {X, Y, 1 (X 1)(Y 1)}. Does (SMP) hold for T S? Note: The only polynomials which are bounded on K S are the constants, so Theorem 1.7 does not apply in this case. This problem is due to K. Schmüdgen. 25

CLOSURES OF QUADRATIC MODULES

CLOSURES OF QUADRATIC MODULES CLOSURES OF QUADRATIC MODULES JAKA CIMPRIČ, MURRAY MARSHALL, TIM NETZER Abstract. We consider the problem of determining the closure M of a quadratic module M in a commutative R-algebra with respect to

More information

Real Analysis Math 131AH Rudin, Chapter #1. Dominique Abdi

Real Analysis Math 131AH Rudin, Chapter #1. Dominique Abdi Real Analysis Math 3AH Rudin, Chapter # Dominique Abdi.. If r is rational (r 0) and x is irrational, prove that r + x and rx are irrational. Solution. Assume the contrary, that r+x and rx are rational.

More information

MTNS Conference, Polynomial Inequalities and Applications. Kyoto, July

MTNS Conference, Polynomial Inequalities and Applications. Kyoto, July MTNS Conference, Polynomial Inequalities and Applications. Kyoto, July 24-28 2006. July 20, 2006 Salma Kuhlmann 1, Research Center Algebra, Logic and Computation University of Saskatchewan, McLean Hall,

More information

Chapter 8. P-adic numbers. 8.1 Absolute values

Chapter 8. P-adic numbers. 8.1 Absolute values Chapter 8 P-adic numbers Literature: N. Koblitz, p-adic Numbers, p-adic Analysis, and Zeta-Functions, 2nd edition, Graduate Texts in Mathematics 58, Springer Verlag 1984, corrected 2nd printing 1996, Chap.

More information

1 Topology Definition of a topology Basis (Base) of a topology The subspace topology & the product topology on X Y 3

1 Topology Definition of a topology Basis (Base) of a topology The subspace topology & the product topology on X Y 3 Index Page 1 Topology 2 1.1 Definition of a topology 2 1.2 Basis (Base) of a topology 2 1.3 The subspace topology & the product topology on X Y 3 1.4 Basic topology concepts: limit points, closed sets,

More information

Matricial real algebraic geometry

Matricial real algebraic geometry Magdeburg, February 23th, 2012 Notation R - a commutative ring M n (R) - the ring of all n n matrices with entries in R S n (R) - the set of all symmetric matrices in M n (R) Mn (R) 2 - the set of all

More information

Topological vectorspaces

Topological vectorspaces (July 25, 2011) Topological vectorspaces Paul Garrett garrett@math.umn.edu http://www.math.umn.edu/ garrett/ Natural non-fréchet spaces Topological vector spaces Quotients and linear maps More topological

More information

Appendix B Convex analysis

Appendix B Convex analysis This version: 28/02/2014 Appendix B Convex analysis In this appendix we review a few basic notions of convexity and related notions that will be important for us at various times. B.1 The Hausdorff distance

More information

Immerse Metric Space Homework

Immerse Metric Space Homework Immerse Metric Space Homework (Exercises -2). In R n, define d(x, y) = x y +... + x n y n. Show that d is a metric that induces the usual topology. Sketch the basis elements when n = 2. Solution: Steps

More information

9. Integral Ring Extensions

9. Integral Ring Extensions 80 Andreas Gathmann 9. Integral ing Extensions In this chapter we want to discuss a concept in commutative algebra that has its original motivation in algebra, but turns out to have surprisingly many applications

More information

10. Smooth Varieties. 82 Andreas Gathmann

10. Smooth Varieties. 82 Andreas Gathmann 82 Andreas Gathmann 10. Smooth Varieties Let a be a point on a variety X. In the last chapter we have introduced the tangent cone C a X as a way to study X locally around a (see Construction 9.20). It

More information

8. Prime Factorization and Primary Decompositions

8. Prime Factorization and Primary Decompositions 70 Andreas Gathmann 8. Prime Factorization and Primary Decompositions 13 When it comes to actual computations, Euclidean domains (or more generally principal ideal domains) are probably the nicest rings

More information

Topological properties

Topological properties CHAPTER 4 Topological properties 1. Connectedness Definitions and examples Basic properties Connected components Connected versus path connected, again 2. Compactness Definition and first examples Topological

More information

arxiv: v1 [math.ag] 21 Jul 2008

arxiv: v1 [math.ag] 21 Jul 2008 POSITIVE POLYNOMIALS AND SEQUENTIAL CLOSURES OF QUADRATIC MODULES arxiv:0807.3257v1 [math.ag] 21 Jul 2008 TIM NETZER Abstract. Let S = {x R n f 1 (x) 0,...,f s(x) 0} be a basic closed semi-algebraic set

More information

Math 341: Convex Geometry. Xi Chen

Math 341: Convex Geometry. Xi Chen Math 341: Convex Geometry Xi Chen 479 Central Academic Building, University of Alberta, Edmonton, Alberta T6G 2G1, CANADA E-mail address: xichen@math.ualberta.ca CHAPTER 1 Basics 1. Euclidean Geometry

More information

NOTES ON DIOPHANTINE APPROXIMATION

NOTES ON DIOPHANTINE APPROXIMATION NOTES ON DIOPHANTINE APPROXIMATION Jan-Hendrik Evertse January 29, 200 9 p-adic Numbers Literature: N. Koblitz, p-adic Numbers, p-adic Analysis, and Zeta-Functions, 2nd edition, Graduate Texts in Mathematics

More information

ULTRAFILTER AND HINDMAN S THEOREM

ULTRAFILTER AND HINDMAN S THEOREM ULTRAFILTER AND HINDMAN S THEOREM GUANYU ZHOU Abstract. In this paper, we present various results of Ramsey Theory, including Schur s Theorem and Hindman s Theorem. With the focus on the proof of Hindman

More information

MAT 570 REAL ANALYSIS LECTURE NOTES. Contents. 1. Sets Functions Countability Axiom of choice Equivalence relations 9

MAT 570 REAL ANALYSIS LECTURE NOTES. Contents. 1. Sets Functions Countability Axiom of choice Equivalence relations 9 MAT 570 REAL ANALYSIS LECTURE NOTES PROFESSOR: JOHN QUIGG SEMESTER: FALL 204 Contents. Sets 2 2. Functions 5 3. Countability 7 4. Axiom of choice 8 5. Equivalence relations 9 6. Real numbers 9 7. Extended

More information

INTRODUCTION TO REAL ANALYTIC GEOMETRY

INTRODUCTION TO REAL ANALYTIC GEOMETRY INTRODUCTION TO REAL ANALYTIC GEOMETRY KRZYSZTOF KURDYKA 1. Analytic functions in several variables 1.1. Summable families. Let (E, ) be a normed space over the field R or C, dim E

More information

Local Fields. Chapter Absolute Values and Discrete Valuations Definitions and Comments

Local Fields. Chapter Absolute Values and Discrete Valuations Definitions and Comments Chapter 9 Local Fields The definition of global field varies in the literature, but all definitions include our primary source of examples, number fields. The other fields that are of interest in algebraic

More information

x = π m (a 0 + a 1 π + a 2 π ) where a i R, a 0 = 0, m Z.

x = π m (a 0 + a 1 π + a 2 π ) where a i R, a 0 = 0, m Z. ALGEBRAIC NUMBER THEORY LECTURE 7 NOTES Material covered: Local fields, Hensel s lemma. Remark. The non-archimedean topology: Recall that if K is a field with a valuation, then it also is a metric space

More information

Math 210B. Artin Rees and completions

Math 210B. Artin Rees and completions Math 210B. Artin Rees and completions 1. Definitions and an example Let A be a ring, I an ideal, and M an A-module. In class we defined the I-adic completion of M to be M = lim M/I n M. We will soon show

More information

Exercise Solutions to Functional Analysis

Exercise Solutions to Functional Analysis Exercise Solutions to Functional Analysis Note: References refer to M. Schechter, Principles of Functional Analysis Exersize that. Let φ,..., φ n be an orthonormal set in a Hilbert space H. Show n f n

More information

Integral Jensen inequality

Integral Jensen inequality Integral Jensen inequality Let us consider a convex set R d, and a convex function f : (, + ]. For any x,..., x n and λ,..., λ n with n λ i =, we have () f( n λ ix i ) n λ if(x i ). For a R d, let δ a

More information

CLOSURES OF QUADRATIC MODULES

CLOSURES OF QUADRATIC MODULES CLOSURES OF QUADRATIC MODULES JAKA CIMPRIČ, MURRAY MARSHALL, TIM NETZER Abstract. We consider the problem of determining the closure M of a quadratic module M in a commutative R-algebra with respect to

More information

NONSINGULAR CURVES BRIAN OSSERMAN

NONSINGULAR CURVES BRIAN OSSERMAN NONSINGULAR CURVES BRIAN OSSERMAN The primary goal of this note is to prove that every abstract nonsingular curve can be realized as an open subset of a (unique) nonsingular projective curve. Note that

More information

= ϕ r cos θ. 0 cos ξ sin ξ and sin ξ cos ξ. sin ξ 0 cos ξ

= ϕ r cos θ. 0 cos ξ sin ξ and sin ξ cos ξ. sin ξ 0 cos ξ 8. The Banach-Tarski paradox May, 2012 The Banach-Tarski paradox is that a unit ball in Euclidean -space can be decomposed into finitely many parts which can then be reassembled to form two unit balls

More information

A brief history of noncommutative Positivstellensätze. Jaka Cimprič, University of Ljubljana, Slovenia

A brief history of noncommutative Positivstellensätze. Jaka Cimprič, University of Ljubljana, Slovenia A brief history of noncommutative Positivstellensätze Jaka Cimprič, University of Ljubljana, Slovenia Hilbert s Nullstellensatz: If f, g 1,..., g m R := C[X 1,..., X n ] then the following are equivalent:

More information

Topology. Xiaolong Han. Department of Mathematics, California State University, Northridge, CA 91330, USA address:

Topology. Xiaolong Han. Department of Mathematics, California State University, Northridge, CA 91330, USA  address: Topology Xiaolong Han Department of Mathematics, California State University, Northridge, CA 91330, USA E-mail address: Xiaolong.Han@csun.edu Remark. You are entitled to a reward of 1 point toward a homework

More information

Places of Number Fields and Function Fields MATH 681, Spring 2018

Places of Number Fields and Function Fields MATH 681, Spring 2018 Places of Number Fields and Function Fields MATH 681, Spring 2018 From now on we will denote the field Z/pZ for a prime p more compactly by F p. More generally, for q a power of a prime p, F q will denote

More information

Stone-Čech compactification of Tychonoff spaces

Stone-Čech compactification of Tychonoff spaces The Stone-Čech compactification of Tychonoff spaces Jordan Bell jordan.bell@gmail.com Department of Mathematics, University of Toronto June 27, 2014 1 Completely regular spaces and Tychonoff spaces A topological

More information

i=1 β i,i.e. = β 1 x β x β 1 1 xβ d

i=1 β i,i.e. = β 1 x β x β 1 1 xβ d 66 2. Every family of seminorms on a vector space containing a norm induces ahausdorff locally convex topology. 3. Given an open subset Ω of R d with the euclidean topology, the space C(Ω) of real valued

More information

12. Hilbert Polynomials and Bézout s Theorem

12. Hilbert Polynomials and Bézout s Theorem 12. Hilbert Polynomials and Bézout s Theorem 95 12. Hilbert Polynomials and Bézout s Theorem After our study of smooth cubic surfaces in the last chapter, let us now come back to the general theory of

More information

Analysis Finite and Infinite Sets The Real Numbers The Cantor Set

Analysis Finite and Infinite Sets The Real Numbers The Cantor Set Analysis Finite and Infinite Sets Definition. An initial segment is {n N n n 0 }. Definition. A finite set can be put into one-to-one correspondence with an initial segment. The empty set is also considered

More information

Optimization and Optimal Control in Banach Spaces

Optimization and Optimal Control in Banach Spaces Optimization and Optimal Control in Banach Spaces Bernhard Schmitzer October 19, 2017 1 Convex non-smooth optimization with proximal operators Remark 1.1 (Motivation). Convex optimization: easier to solve,

More information

MATH 117 LECTURE NOTES

MATH 117 LECTURE NOTES MATH 117 LECTURE NOTES XIN ZHOU Abstract. This is the set of lecture notes for Math 117 during Fall quarter of 2017 at UC Santa Barbara. The lectures follow closely the textbook [1]. Contents 1. The set

More information

g 2 (x) (1/3)M 1 = (1/3)(2/3)M.

g 2 (x) (1/3)M 1 = (1/3)(2/3)M. COMPACTNESS If C R n is closed and bounded, then by B-W it is sequentially compact: any sequence of points in C has a subsequence converging to a point in C Conversely, any sequentially compact C R n is

More information

Some topics in analysis related to Banach algebras, 2

Some topics in analysis related to Banach algebras, 2 Some topics in analysis related to Banach algebras, 2 Stephen Semmes Rice University... Abstract Contents I Preliminaries 3 1 A few basic inequalities 3 2 q-semimetrics 4 3 q-absolute value functions 7

More information

121B: ALGEBRAIC TOPOLOGY. Contents. 6. Poincaré Duality

121B: ALGEBRAIC TOPOLOGY. Contents. 6. Poincaré Duality 121B: ALGEBRAIC TOPOLOGY Contents 6. Poincaré Duality 1 6.1. Manifolds 2 6.2. Orientation 3 6.3. Orientation sheaf 9 6.4. Cap product 11 6.5. Proof for good coverings 15 6.6. Direct limit 18 6.7. Proof

More information

Course 311: Michaelmas Term 2005 Part III: Topics in Commutative Algebra

Course 311: Michaelmas Term 2005 Part III: Topics in Commutative Algebra Course 311: Michaelmas Term 2005 Part III: Topics in Commutative Algebra D. R. Wilkins Contents 3 Topics in Commutative Algebra 2 3.1 Rings and Fields......................... 2 3.2 Ideals...............................

More information

REVIEW OF ESSENTIAL MATH 346 TOPICS

REVIEW OF ESSENTIAL MATH 346 TOPICS REVIEW OF ESSENTIAL MATH 346 TOPICS 1. AXIOMATIC STRUCTURE OF R Doğan Çömez The real number system is a complete ordered field, i.e., it is a set R which is endowed with addition and multiplication operations

More information

Integral Extensions. Chapter Integral Elements Definitions and Comments Lemma

Integral Extensions. Chapter Integral Elements Definitions and Comments Lemma Chapter 2 Integral Extensions 2.1 Integral Elements 2.1.1 Definitions and Comments Let R be a subring of the ring S, and let α S. We say that α is integral over R if α isarootofamonic polynomial with coefficients

More information

CHAPTER 7. Connectedness

CHAPTER 7. Connectedness CHAPTER 7 Connectedness 7.1. Connected topological spaces Definition 7.1. A topological space (X, T X ) is said to be connected if there is no continuous surjection f : X {0, 1} where the two point set

More information

Convex Analysis and Optimization Chapter 2 Solutions

Convex Analysis and Optimization Chapter 2 Solutions Convex Analysis and Optimization Chapter 2 Solutions Dimitri P. Bertsekas with Angelia Nedić and Asuman E. Ozdaglar Massachusetts Institute of Technology Athena Scientific, Belmont, Massachusetts http://www.athenasc.com

More information

Factorization in Polynomial Rings

Factorization in Polynomial Rings Factorization in Polynomial Rings Throughout these notes, F denotes a field. 1 Long division with remainder We begin with some basic definitions. Definition 1.1. Let f, g F [x]. We say that f divides g,

More information

P-adic Functions - Part 1

P-adic Functions - Part 1 P-adic Functions - Part 1 Nicolae Ciocan 22.11.2011 1 Locally constant functions Motivation: Another big difference between p-adic analysis and real analysis is the existence of nontrivial locally constant

More information

z -FILTERS AND RELATED IDEALS IN C(X) Communicated by B. Davvaz

z -FILTERS AND RELATED IDEALS IN C(X) Communicated by B. Davvaz Algebraic Structures and Their Applications Vol. 2 No. 2 ( 2015 ), pp 57-66. z -FILTERS AND RELATED IDEALS IN C(X) R. MOHAMADIAN Communicated by B. Davvaz Abstract. In this article we introduce the concept

More information

Convex Geometry. Carsten Schütt

Convex Geometry. Carsten Schütt Convex Geometry Carsten Schütt November 25, 2006 2 Contents 0.1 Convex sets... 4 0.2 Separation.... 9 0.3 Extreme points..... 15 0.4 Blaschke selection principle... 18 0.5 Polytopes and polyhedra.... 23

More information

MATH 8253 ALGEBRAIC GEOMETRY WEEK 12

MATH 8253 ALGEBRAIC GEOMETRY WEEK 12 MATH 8253 ALGEBRAIC GEOMETRY WEEK 2 CİHAN BAHRAN 3.2.. Let Y be a Noetherian scheme. Show that any Y -scheme X of finite type is Noetherian. Moreover, if Y is of finite dimension, then so is X. Write f

More information

Stanford Mathematics Department Math 205A Lecture Supplement #4 Borel Regular & Radon Measures

Stanford Mathematics Department Math 205A Lecture Supplement #4 Borel Regular & Radon Measures 2 1 Borel Regular Measures We now state and prove an important regularity property of Borel regular outer measures: Stanford Mathematics Department Math 205A Lecture Supplement #4 Borel Regular & Radon

More information

Lebesgue Measure on R n

Lebesgue Measure on R n CHAPTER 2 Lebesgue Measure on R n Our goal is to construct a notion of the volume, or Lebesgue measure, of rather general subsets of R n that reduces to the usual volume of elementary geometrical sets

More information

ADELIC VERSION OF MARGULIS ARITHMETICITY THEOREM. Hee Oh

ADELIC VERSION OF MARGULIS ARITHMETICITY THEOREM. Hee Oh ADELIC VERSION OF MARGULIS ARITHMETICITY THEOREM Hee Oh Abstract. In this paper, we generalize Margulis s S-arithmeticity theorem to the case when S can be taken as an infinite set of primes. Let R be

More information

Theorem 5.3. Let E/F, E = F (u), be a simple field extension. Then u is algebraic if and only if E/F is finite. In this case, [E : F ] = deg f u.

Theorem 5.3. Let E/F, E = F (u), be a simple field extension. Then u is algebraic if and only if E/F is finite. In this case, [E : F ] = deg f u. 5. Fields 5.1. Field extensions. Let F E be a subfield of the field E. We also describe this situation by saying that E is an extension field of F, and we write E/F to express this fact. If E/F is a field

More information

1 Directional Derivatives and Differentiability

1 Directional Derivatives and Differentiability Wednesday, January 18, 2012 1 Directional Derivatives and Differentiability Let E R N, let f : E R and let x 0 E. Given a direction v R N, let L be the line through x 0 in the direction v, that is, L :=

More information

Extreme points of compact convex sets

Extreme points of compact convex sets Extreme points of compact convex sets In this chapter, we are going to show that compact convex sets are determined by a proper subset, the set of its extreme points. Let us start with the main definition.

More information

ALGEBRA. 1. Some elementary number theory 1.1. Primes and divisibility. We denote the collection of integers

ALGEBRA. 1. Some elementary number theory 1.1. Primes and divisibility. We denote the collection of integers ALGEBRA CHRISTIAN REMLING 1. Some elementary number theory 1.1. Primes and divisibility. We denote the collection of integers by Z = {..., 2, 1, 0, 1,...}. Given a, b Z, we write a b if b = ac for some

More information

Algebraic Geometry. Andreas Gathmann. Class Notes TU Kaiserslautern 2014

Algebraic Geometry. Andreas Gathmann. Class Notes TU Kaiserslautern 2014 Algebraic Geometry Andreas Gathmann Class Notes TU Kaiserslautern 2014 Contents 0. Introduction......................... 3 1. Affine Varieties........................ 9 2. The Zariski Topology......................

More information

Measure Theory on Topological Spaces. Course: Prof. Tony Dorlas 2010 Typset: Cathal Ormond

Measure Theory on Topological Spaces. Course: Prof. Tony Dorlas 2010 Typset: Cathal Ormond Measure Theory on Topological Spaces Course: Prof. Tony Dorlas 2010 Typset: Cathal Ormond May 22, 2011 Contents 1 Introduction 2 1.1 The Riemann Integral........................................ 2 1.2 Measurable..............................................

More information

Introduction to Topology

Introduction to Topology Introduction to Topology Randall R. Holmes Auburn University Typeset by AMS-TEX Chapter 1. Metric Spaces 1. Definition and Examples. As the course progresses we will need to review some basic notions about

More information

Math 530 Lecture Notes. Xi Chen

Math 530 Lecture Notes. Xi Chen Math 530 Lecture Notes Xi Chen 632 Central Academic Building, University of Alberta, Edmonton, Alberta T6G 2G1, CANADA E-mail address: xichen@math.ualberta.ca 1991 Mathematics Subject Classification. Primary

More information

MATH 326: RINGS AND MODULES STEFAN GILLE

MATH 326: RINGS AND MODULES STEFAN GILLE MATH 326: RINGS AND MODULES STEFAN GILLE 1 2 STEFAN GILLE 1. Rings We recall first the definition of a group. 1.1. Definition. Let G be a non empty set. The set G is called a group if there is a map called

More information

This is a closed subset of X Y, by Proposition 6.5(b), since it is equal to the inverse image of the diagonal under the regular map:

This is a closed subset of X Y, by Proposition 6.5(b), since it is equal to the inverse image of the diagonal under the regular map: Math 6130 Notes. Fall 2002. 7. Basic Maps. Recall from 3 that a regular map of affine varieties is the same as a homomorphism of coordinate rings (going the other way). Here, we look at how algebraic properties

More information

Metric Spaces and Topology

Metric Spaces and Topology Chapter 2 Metric Spaces and Topology From an engineering perspective, the most important way to construct a topology on a set is to define the topology in terms of a metric on the set. This approach underlies

More information

Solutions Final Exam May. 14, 2014

Solutions Final Exam May. 14, 2014 Solutions Final Exam May. 14, 2014 1. Determine whether the following statements are true or false. Justify your answer (i.e., prove the claim, derive a contradiction or give a counter-example). (a) (10

More information

Logical Connectives and Quantifiers

Logical Connectives and Quantifiers Chapter 1 Logical Connectives and Quantifiers 1.1 Logical Connectives 1.2 Quantifiers 1.3 Techniques of Proof: I 1.4 Techniques of Proof: II Theorem 1. Let f be a continuous function. If 1 f(x)dx 0, then

More information

Measures. 1 Introduction. These preliminary lecture notes are partly based on textbooks by Athreya and Lahiri, Capinski and Kopp, and Folland.

Measures. 1 Introduction. These preliminary lecture notes are partly based on textbooks by Athreya and Lahiri, Capinski and Kopp, and Folland. Measures These preliminary lecture notes are partly based on textbooks by Athreya and Lahiri, Capinski and Kopp, and Folland. 1 Introduction Our motivation for studying measure theory is to lay a foundation

More information

Rings and groups. Ya. Sysak

Rings and groups. Ya. Sysak Rings and groups. Ya. Sysak 1 Noetherian rings Let R be a ring. A (right) R -module M is called noetherian if it satisfies the maximum condition for its submodules. In other words, if M 1... M i M i+1...

More information

Some Properties of Convex Hulls of Integer Points Contained in General Convex Sets

Some Properties of Convex Hulls of Integer Points Contained in General Convex Sets Some Properties of Convex Hulls of Integer Points Contained in General Convex Sets Santanu S. Dey and Diego A. Morán R. H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute

More information

6 Lecture 6: More constructions with Huber rings

6 Lecture 6: More constructions with Huber rings 6 Lecture 6: More constructions with Huber rings 6.1 Introduction Recall from Definition 5.2.4 that a Huber ring is a commutative topological ring A equipped with an open subring A 0, such that the subspace

More information

Supplementary Notes for W. Rudin: Principles of Mathematical Analysis

Supplementary Notes for W. Rudin: Principles of Mathematical Analysis Supplementary Notes for W. Rudin: Principles of Mathematical Analysis SIGURDUR HELGASON In 8.00B it is customary to cover Chapters 7 in Rudin s book. Experience shows that this requires careful planning

More information

1. If 1, ω, ω 2, -----, ω 9 are the 10 th roots of unity, then (1 + ω) (1 + ω 2 ) (1 + ω 9 ) is A) 1 B) 1 C) 10 D) 0

1. If 1, ω, ω 2, -----, ω 9 are the 10 th roots of unity, then (1 + ω) (1 + ω 2 ) (1 + ω 9 ) is A) 1 B) 1 C) 10 D) 0 4 INUTES. If, ω, ω, -----, ω 9 are the th roots of unity, then ( + ω) ( + ω ) ----- ( + ω 9 ) is B) D) 5. i If - i = a + ib, then a =, b = B) a =, b = a =, b = D) a =, b= 3. Find the integral values for

More information

be any ring homomorphism and let s S be any element of S. Then there is a unique ring homomorphism

be any ring homomorphism and let s S be any element of S. Then there is a unique ring homomorphism 21. Polynomial rings Let us now turn out attention to determining the prime elements of a polynomial ring, where the coefficient ring is a field. We already know that such a polynomial ring is a UFD. Therefore

More information

Some notes on Coxeter groups

Some notes on Coxeter groups Some notes on Coxeter groups Brooks Roberts November 28, 2017 CONTENTS 1 Contents 1 Sources 2 2 Reflections 3 3 The orthogonal group 7 4 Finite subgroups in two dimensions 9 5 Finite subgroups in three

More information

01. Review of metric spaces and point-set topology. 1. Euclidean spaces

01. Review of metric spaces and point-set topology. 1. Euclidean spaces (October 3, 017) 01. Review of metric spaces and point-set topology Paul Garrett garrett@math.umn.edu http://www.math.umn.edu/ garrett/ [This document is http://www.math.umn.edu/ garrett/m/real/notes 017-18/01

More information

Theorems. Theorem 1.11: Greatest-Lower-Bound Property. Theorem 1.20: The Archimedean property of. Theorem 1.21: -th Root of Real Numbers

Theorems. Theorem 1.11: Greatest-Lower-Bound Property. Theorem 1.20: The Archimedean property of. Theorem 1.21: -th Root of Real Numbers Page 1 Theorems Wednesday, May 9, 2018 12:53 AM Theorem 1.11: Greatest-Lower-Bound Property Suppose is an ordered set with the least-upper-bound property Suppose, and is bounded below be the set of lower

More information

A WEAK VERSION OF ROLLE S THEOREM

A WEAK VERSION OF ROLLE S THEOREM PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 125, Number 11, November 1997, Pages 3147 3153 S 0002-9939(97)03910-5 A WEAK VERSION OF ROLLE S THEOREM THOMAS C. CRAVEN (Communicated by Wolmer

More information

(1) A frac = b : a, b A, b 0. We can define addition and multiplication of fractions as we normally would. a b + c d

(1) A frac = b : a, b A, b 0. We can define addition and multiplication of fractions as we normally would. a b + c d The Algebraic Method 0.1. Integral Domains. Emmy Noether and others quickly realized that the classical algebraic number theory of Dedekind could be abstracted completely. In particular, rings of integers

More information

Axioms of separation

Axioms of separation Axioms of separation These notes discuss the same topic as Sections 31, 32, 33, 34, 35, and also 7, 10 of Munkres book. Some notions (hereditarily normal, perfectly normal, collectionwise normal, monotonically

More information

Introduction to Real Analysis Alternative Chapter 1

Introduction to Real Analysis Alternative Chapter 1 Christopher Heil Introduction to Real Analysis Alternative Chapter 1 A Primer on Norms and Banach Spaces Last Updated: March 10, 2018 c 2018 by Christopher Heil Chapter 1 A Primer on Norms and Banach Spaces

More information

Tangent spaces, normals and extrema

Tangent spaces, normals and extrema Chapter 3 Tangent spaces, normals and extrema If S is a surface in 3-space, with a point a S where S looks smooth, i.e., without any fold or cusp or self-crossing, we can intuitively define the tangent

More information

2.2 Some Consequences of the Completeness Axiom

2.2 Some Consequences of the Completeness Axiom 60 CHAPTER 2. IMPORTANT PROPERTIES OF R 2.2 Some Consequences of the Completeness Axiom In this section, we use the fact that R is complete to establish some important results. First, we will prove that

More information

Solutions to Unique Readability Homework Set 30 August 2011

Solutions to Unique Readability Homework Set 30 August 2011 s to Unique Readability Homework Set 30 August 2011 In the problems below L is a signature and X is a set of variables. Problem 0. Define a function λ from the set of finite nonempty sequences of elements

More information

Factorization in Integral Domains II

Factorization in Integral Domains II Factorization in Integral Domains II 1 Statement of the main theorem Throughout these notes, unless otherwise specified, R is a UFD with field of quotients F. The main examples will be R = Z, F = Q, and

More information

Lecture Notes in Advanced Calculus 1 (80315) Raz Kupferman Institute of Mathematics The Hebrew University

Lecture Notes in Advanced Calculus 1 (80315) Raz Kupferman Institute of Mathematics The Hebrew University Lecture Notes in Advanced Calculus 1 (80315) Raz Kupferman Institute of Mathematics The Hebrew University February 7, 2007 2 Contents 1 Metric Spaces 1 1.1 Basic definitions...........................

More information

Chapter 3. Rings. The basic commutative rings in mathematics are the integers Z, the. Examples

Chapter 3. Rings. The basic commutative rings in mathematics are the integers Z, the. Examples Chapter 3 Rings Rings are additive abelian groups with a second operation called multiplication. The connection between the two operations is provided by the distributive law. Assuming the results of Chapter

More information

Convexity in R n. The following lemma will be needed in a while. Lemma 1 Let x E, u R n. If τ I(x, u), τ 0, define. f(x + τu) f(x). τ.

Convexity in R n. The following lemma will be needed in a while. Lemma 1 Let x E, u R n. If τ I(x, u), τ 0, define. f(x + τu) f(x). τ. Convexity in R n Let E be a convex subset of R n. A function f : E (, ] is convex iff f(tx + (1 t)y) (1 t)f(x) + tf(y) x, y E, t [0, 1]. A similar definition holds in any vector space. A topology is needed

More information

Problem 1A. Calculus. Problem 3A. Real analysis. f(x) = 0 x = 0.

Problem 1A. Calculus. Problem 3A. Real analysis. f(x) = 0 x = 0. Problem A. Calculus Find the length of the spiral given in polar coordinates by r = e θ, < θ 0. Solution: The length is 0 θ= ds where by Pythagoras ds = dr 2 + (rdθ) 2 = dθ 2e θ, so the length is 0 2e

More information

Appendix PRELIMINARIES 1. THEOREMS OF ALTERNATIVES FOR SYSTEMS OF LINEAR CONSTRAINTS

Appendix PRELIMINARIES 1. THEOREMS OF ALTERNATIVES FOR SYSTEMS OF LINEAR CONSTRAINTS Appendix PRELIMINARIES 1. THEOREMS OF ALTERNATIVES FOR SYSTEMS OF LINEAR CONSTRAINTS Here we consider systems of linear constraints, consisting of equations or inequalities or both. A feasible solution

More information

Contents Ordered Fields... 2 Ordered sets and fields... 2 Construction of the Reals 1: Dedekind Cuts... 2 Metric Spaces... 3

Contents Ordered Fields... 2 Ordered sets and fields... 2 Construction of the Reals 1: Dedekind Cuts... 2 Metric Spaces... 3 Analysis Math Notes Study Guide Real Analysis Contents Ordered Fields 2 Ordered sets and fields 2 Construction of the Reals 1: Dedekind Cuts 2 Metric Spaces 3 Metric Spaces 3 Definitions 4 Separability

More information

Set, functions and Euclidean space. Seungjin Han

Set, functions and Euclidean space. Seungjin Han Set, functions and Euclidean space Seungjin Han September, 2018 1 Some Basics LOGIC A is necessary for B : If B holds, then A holds. B A A B is the contraposition of B A. A is sufficient for B: If A holds,

More information

ATOMIC AND AP SEMIGROUP RINGS F [X; M], WHERE M IS A SUBMONOID OF THE ADDITIVE MONOID OF NONNEGATIVE RATIONAL NUMBERS. Ryan Gipson and Hamid Kulosman

ATOMIC AND AP SEMIGROUP RINGS F [X; M], WHERE M IS A SUBMONOID OF THE ADDITIVE MONOID OF NONNEGATIVE RATIONAL NUMBERS. Ryan Gipson and Hamid Kulosman International Electronic Journal of Algebra Volume 22 (2017) 133-146 DOI: 10.24330/ieja.325939 ATOMIC AND AP SEMIGROUP RINGS F [X; M], WHERE M IS A SUBMONOID OF THE ADDITIVE MONOID OF NONNEGATIVE RATIONAL

More information

EXTENDING THE ARCHIMEDEAN POSITIVSTELLENSATZ TO THE NON-COMPACT CASE M. Marshall Abstract. A generalization of Schmudgen's Positivstellensatz is given

EXTENDING THE ARCHIMEDEAN POSITIVSTELLENSATZ TO THE NON-COMPACT CASE M. Marshall Abstract. A generalization of Schmudgen's Positivstellensatz is given EXTENDING THE ARCHIMEDEAN POSITIVSTELLENSATZ TO THE NON-COMPACT CASE M. Marshall Abstract. A generalization o Schmudgen's Positivstellensatz is given which holds or any basic closed semialgebraic set in

More information

Analysis-3 lecture schemes

Analysis-3 lecture schemes Analysis-3 lecture schemes (with Homeworks) 1 Csörgő István November, 2015 1 A jegyzet az ELTE Informatikai Kar 2015. évi Jegyzetpályázatának támogatásával készült Contents 1. Lesson 1 4 1.1. The Space

More information

10. Noether Normalization and Hilbert s Nullstellensatz

10. Noether Normalization and Hilbert s Nullstellensatz 10. Noether Normalization and Hilbert s Nullstellensatz 91 10. Noether Normalization and Hilbert s Nullstellensatz In the last chapter we have gained much understanding for integral and finite ring extensions.

More information

MA257: INTRODUCTION TO NUMBER THEORY LECTURE NOTES

MA257: INTRODUCTION TO NUMBER THEORY LECTURE NOTES MA257: INTRODUCTION TO NUMBER THEORY LECTURE NOTES 2018 57 5. p-adic Numbers 5.1. Motivating examples. We all know that 2 is irrational, so that 2 is not a square in the rational field Q, but that we can

More information

MASTERS EXAMINATION IN MATHEMATICS SOLUTIONS

MASTERS EXAMINATION IN MATHEMATICS SOLUTIONS MASTERS EXAMINATION IN MATHEMATICS PURE MATHEMATICS OPTION SPRING 010 SOLUTIONS Algebra A1. Let F be a finite field. Prove that F [x] contains infinitely many prime ideals. Solution: The ring F [x] of

More information

ALGEBRAICALLY TRIVIAL, BUT TOPOLOGICALLY NON-TRIVIAL MAP. Contents 1. Introduction 1

ALGEBRAICALLY TRIVIAL, BUT TOPOLOGICALLY NON-TRIVIAL MAP. Contents 1. Introduction 1 ALGEBRAICALLY TRIVIAL, BUT TOPOLOGICALLY NON-TRIVIAL MAP HONG GYUN KIM Abstract. I studied the construction of an algebraically trivial, but topologically non-trivial map by Hopf map p : S 3 S 2 and a

More information

Notes on p-divisible Groups

Notes on p-divisible Groups Notes on p-divisible Groups March 24, 2006 This is a note for the talk in STAGE in MIT. The content is basically following the paper [T]. 1 Preliminaries and Notations Notation 1.1. Let R be a complete

More information

Commutative Banach algebras 79

Commutative Banach algebras 79 8. Commutative Banach algebras In this chapter, we analyze commutative Banach algebras in greater detail. So we always assume that xy = yx for all x, y A here. Definition 8.1. Let A be a (commutative)

More information

A NICE PROOF OF FARKAS LEMMA

A NICE PROOF OF FARKAS LEMMA A NICE PROOF OF FARKAS LEMMA DANIEL VICTOR TAUSK Abstract. The goal of this short note is to present a nice proof of Farkas Lemma which states that if C is the convex cone spanned by a finite set and if

More information