Polynomials with non-negative coefficients
|
|
|
- Archibald Cox
- 10 years ago
- Views:
Transcription
1 Polynomials with non-negative coeicients R. W. Barnard W. Dayawansa K. Pearce D.Weinberg Department o Mathematics, Texas Tech University, Lubbock, TX Introduction Can a conjugate pair o zeros be actored rom a polynomial with nonnegative coeicients so that the resulting polynomial still has nonnegative coeicients? This question has attracted considerable attention during the last ew years because o its seemingly elementary nature and its potential or applications in number theory and control theory. A proposed answer to this question arose as a conjecture out o the work in [6], where explicit bounds were determined or the constants occurring in the Beauzamy-Enlo generalization [1], [2] o Jensen s Inequality. An airmative answer to this question was conjectured, independently, by B. Conrey in connection with some o his work in number theory. Conrey announced the conjecture at the annual West Coast Number Theory Conerence held in December The main theorem in this note gives a positive answer to the question. This will be proved in section 2. The principle ingredients o the proo are an idea rom index theory, classical properties o polynomials and a signiicant lemma Lemma 2.1) which we prove in section 3. This lemma states some strong consequences or the case o equality holding in Descartes Rule o Signs see [5]). We also prove a corollary o the main theorem which describes the region into which certain zeros can be moved while preserving the nonnegativity o the coeicients. Formerly at Texas Tech University, Currently in the Department o Electrical Engineering, University o Maryland,College Park, Md
2 Consider the polynomial deined by P N z) =1+z N.Wenotethat P N z) = N 1 l=0 1 z e i π N + 2πl N ) ) N 2 =1 2cosθ 0 z + z 2 ) b k z k 1) has b k > 0, 0 k N 2, i θ 0 = π/n, while any other choice or θ 0 produces a actor with some negative b k coeicients. Thus, one initial suggestion or the general question o actoring out a conjugate pair o zeros was to actor out a pair o zeros with greatest real part. The authors have used airly straightorward arguments to show that i the degree o the polynomial is less than or equal to 5, then a conjugate pair o zeros o greatest real part can be actored out and the resulting polynomial will still have nonnegative coeicients. However, i pz) = z + z z z 4 +5z 5 +20z 6 with z 0, z 0 approximately equal to i, i, resp., as the conjugate pair o zeros o greatest real part, then the resulting actors are z z 0 )z z 0 ) and z 1.53z z z 4 ). The other choice, or which zeros to actor out, suggested by the example P N in 1), is the pair determined by the zero in the upper hal-plane with smallest positive argument. Indeed, in this paper we prove the ollowing: Theorem 1.1 Let p be a polynomial o degree N, p0) = 1, with nonnegative coeicients and with zeros z 1,z 2,...,z N.Fort 0 write p t z) = ) 1 zzj 1 j N Argz j >t Then, i p t p, all o the coeicients o p t are positive. Remark 1 We note that a slightly sharper version o the Theorem 1.1 is true. Suppose that the given polynomial p has nonnegative coeicients and that we divide it by a single quadratic actor corresponding to any conjugate pair o zeros o smallest argument in magnitude. Then the quotient polynomial has nonnegative coeicients. Furthermore, i the conjugate pair 2
3 o zeros is unique and simple or i p has strictly positive coeicients then the quotient polynomial will have strictly positive coeicients. The example pz) =1+z 2 ) 2 shows the necessity o these conditions. The sharpened version o the theorem under the uniqueness hypothesis ollows rom the main theorem. Now let us consider the case when several complex conjugate pairs o zeros o p, say{z i, z i } i=1,...,k, have the smallest argument in magnitude and assume that all coeicients o p are strictly positive. A local perturbation can be made o z 1 and z 1 to w 1 and w 1 such that the argument o w 1 is less than that o z 1. Under the local perturbation the polynomial p changes to q which also has strictly positive coeicients. By Theorem 1.1, q/z w 1 )z w 1 ) has strictly positive coeicients. Since p/z z 1 )z z 1 )=q/z w 1 )z w 1 ) the desired conclusion ollows. Corollary 1.1 Let pz) = N 2 a k z 0 )z k =z z 0 )z z 0 ) b k z k be a real polynomial with a k z 0 ) 0. Let z 0 beazeroop in the upper hal plane with smallest argument. I z 1 is any complex number such that then has a k z 1 ) a k z 0 ). z 1 z 0 and Re{z 1 } Re{z 0 } N 2 a k z 1 )z k =z z 1 )z z 1 ) b k z k Proo: The proo ollows directly by noting, or z 0 = re iθ = x + iy, a k z 0 )z k = r 2 2rz cos θ + z 2 ) b k z k = x 2 + y 2 2xz + z 2 ) and comparing coeicients. 3 b k z k
4 It has been recently shown by R. Evans and P. Montgomery[4] that in the special case when p is the polynomial P N deined in 1) that the corresponding reduced p t polynomials are all strictly unimodal in their coeicients). Also, R. Evans and J. Greene [3] have shown or polynomials p o the orm pz) = z Mk 1)/z k 1) that the corresponding reduced p t polynomials all have positive coeicients. 2 Proo o theorem 1.1 We note to prove Theorem 1.1 it suices, by a successive reduction argument, to show that i we remove rom p a conjugate pair o zeros o smallest argument in the absolute value, then the resulting polynomial still has nonnegative coeicients. Proo. Let pz) = a k z k =1 2cosθ 0z r 0 + z2 N 2 ) b r 2 k z k 2) 0 with a k 0, 0 k N. We may assume a N > 0. Let {r l e iθ l } be the zero set o p with 0 <θ 0 θ l or each l. We may assume r 0 =1in2)by using pr 0 z). Since the coeicients o p depend continuously on the zeros o p, we may assume that p has only one zero, say z 0 = e iθ 0,ontheray {re iθ 0 :0<r< } and that this zero is simple. Otherwise, a sequence o polynomials with this property can be chosen to converge to the desired polynomial with the appropriate inequalities holding. We will prove that b k > 0 or 0 k N 2. Now N 2 b k z k = = pz) 1 2cosθ 0 z + z 2 sink +1)θ 0 z k sin θ 0 a k z k = N 2 k ) sinl +1)θ 0 a k l z k. sin θ 0 l=0 4
5 Figure 1: This gives Noting that b k = k l=0 sinl +1)θ 0 sin θ 0 a k l. 3) z N p1/z) = a N k z k = z 2 2cosθ 0 z +1 ) N 2 b N 2 k z k it will suice to show that b k > 0 or 0 k [ N 2 ]. From 3) i 2 sinl +1)θ 0 > 0 or l =0, 1,,k, i.e., when 0 θ 0 <π/k +1)it ollows that b k > 0. Also, i all the zeros o p are in the closure o the let hal plane then the result is clear since p can be put into the orm: pz) = 1 2cosθ l r l z + z2 ) 1 + z rl 2 r m ). Thus, we may assume [ ] ) [ ]) N 2 N π/ +1 = π/ θ 0 <π/2. 4) 2 2 We will assume that there is a k with 5
6 b k 0 5) to reach a contradiction. Consider the unction deined by F z) =z k 1 pz) = a l z l k 1 l=0 having the same zeros as p. We observe rom the hypothesis that F has no zeros between the rays deined by {te iθ 0 :0<t< } and {te iθ 0 :0<t< }. Motivated by this, letγ=γ + Γ + be the curve shown in Figure 1, which is symmetric about the reals with Γ + = 5 l=1 Γ l where Γ 1 = {Re iθ :0 θ θ 0 }, Γ 2 = {te iθ 0 : 1+s t R}, Γ 3 = {z 0 +se iθ : θ 0 π θ θ 0 }, Γ 4 = {te iθ 0 : r t 1 s} and Γ 5 = {re iθ :0 θ θ 0 } and r, s, and1/r will be chosen suiciently small. We will show that under the assumption 5) the index o F with respect to Γ about any interior point is positive, implying the existence o a zero o F inside Γ. This would contradict that θ 0 is the smallest positive argument o the zeros o p in the upper hal plane. The unction F has the orm F z) =a 0 z k a k+1 + a k+2 z + a N z N k 1. 6) From symmetry we can examine arg F z), the change in the argument o F, as z traverses Γ +.Let l equal arg F z)asz traverses Γ l.forr suiciently large the term a N z N k 1 in 6) dominates so that 1 =N k 1)θ 0 +O 1 ). R For r suiciently small and positive the term a 0 z k 1 in 6) dominates so that 5 = k 1)θ 0 +Or) =k+1)θ 0 +Or), noting the clockwise transversal o Γ 5. Hence, ) = Nθ 0 + O + Or) 7) R or 1/R and r suiciently small. Let Γ 6 = {te iθ 0 : r t R}, notingthat Γ 2 Γ 3 Γ 4 approaches Γ 6 as s O. For notational convenience let ˆ 6 denote lim 3 as s 0. We observe that as t crosses 1 the change in argument o π accounts or the change in argument determined by traversing Γ 3 or s suiciently small, i.e., 3 = π + Os). 6
7 Since a bound or ˆ 6 can be determined by the maximum number o times the image o Γ 6 crosses the real axis we consider α 0 ), the number o real positive zeros o 0 deined by 0 t) = Im [ t k+1 F te iθ 0 ) ] 8) = k a l [sink +1 l)θ 0 ] t l + l=0 l=k+2 a l [sinl k 1)θ 0 ] t l. Descartes Rule o Signs says that α 0 ) is bounded above by γ 0 ), the number o sign changes in the coeicients o 0. Since, a l 0 or each l, γ 0 ) is determined by the number o sign changes in sin lθ 0 as l goes rom k 1toN k 1, i.e., over a range o N. It is clear that there exists an m such that mπ N <θ m +1)π 0. 9) N Since the number o sign changes as lθ 0 varies over an Nθ 0 range is determined by Nθ 0 /π, it ollows that γ 0 ) m +1. In counting α 0 )andγ 0 ) i a 0 sink +1)θ 0 = 0, then we actor out the leading power o t l in 0. So, we are only considering positive zeros o 0. In the case when α 0 ) is strictly less than m, saym 1 with 0 m 1 <m, it ollows that ˆ 6 <m 1 π + π mπ. Thus, by using 7), 8) and 9) we obtain 5 argf z) 2 > 2Nθ 0 m 1 +1)π) 0. l=1 This would imply that Γ encloses a zero o F, contradicting the construction o Γ. Now we consider the remaining cases, i.e., when γ 0 )=m or m +1 and α 0 ) m. I γ 0 ) α 0 ) = 1, then one o the positive zeros o 0 occurs with even multiplicity. This can be easily seen by observing that the sign o 0 t) or large t can be determined by multiplying the sign o the constant term o 0 by 1) γ0) and, alternatively, by multiplying the sign o the constant term o 0 by 1) α0) i all o the positive zeros o 0 have odd multiplicity. But, a positive zero o 0 with even multiplicity does not correspond to a proper crossing o the real axis by te iθ 0 ) and, hence, ˆ 6 mπ in this case, which is impossible. 7
8 The only remaining case is when α 0 )=γ 0 )=m or m +1. Weshall need an involved technical lemma, which we state and prove aslemmas 3.3 and 3.4 in the next section. To complete the proo we state Lemma 3.3 as Lemma 2.1 in the ollowing orm: Lemma 2.1 Let g and h be two real polynomials with hz) =a l z l + +a n z n where a l > 0 and the degree o g is less than l with the last coeicient o g being negative. I p is the polynomial deined by p = g + h and the number o sign charges in the coeicients o p equals the number o real positive zeros o p then hz j ) is positive at each o the zeros, z j, o p. We observe that the unction 0 deined in 8) satisies the hypothesis o k Lemma 2.1 with 0 = g + h where gt) = a l [sink +1 l)θ 0 ] t l and ht) = a l [sinl k 1)θ 0 ] t l. Since α 0 )=γ 0 )=m or m +1, it l=k+2 ollows, rom a partitioning argument, that the last nonzero term o gt) is negative and that the irst term o ht) is positive, or otherwise we would have γ 0 ) m 1, which would reduce to the previous case. Now, since 0 1) = 0, Lemma 2.1 gives that h1) > 0, which implies that g1) < 0. But, using 3) it ollows that g1) = b k sin θ 0, which contradicts the assumption in 5). Our main theorem ollows. 3 Lemmas on Zeros, Critical Points, and Sign Changes Let x) denote a polynomial with real coeicients. Write where l=1 x) =± p 0 x) p 1 x)+p 2 x) p 3 x)+ ) p i x) = c i0 x n i 1 + c i1 x n i c i,mi x n i 1+m i n 1 = 0,n i = n i 1 + m i +1, c ij 0,i 0,j 0. 8
9 Notation α) denotes the number o strictly positive real zeros, γ) denotes the number o sign changes, β) denotes the number o strictly positive critical points, 0 i c 00 β) = β)+1 i p 0 x) c 00 β) otherwise. Let 0 <x 1 ) <x 2 ) <x 3 ) < denote the distinct positive real zeros o. Lety i ) denote the critical point between x i ) and x i+1 ) in the case where α) =γ)). Lemma 3.1 i) α) β) γ). ii) I α) =γ), then α k) )=γ k) ) or all k such that k) 0. Proo. i) This is an immediate consequence o Rolle s Theorem and Descartes Rule o Signs. ii) It needs only to be shown that α )=γ ) ¾ Case 1: p 0 x) c 00.Thenα )= β) =β) =γ) =γ ). Case 2: p 0 x) =c 00. Then, α )= β) =β) 1=γ) 1=γ ) Remark 2 The remaining lemmas will each contain the hypothesis that α) = γ). It ollows rom Lemma 3.1i) that α) =β). Thereore, the positive real zeros and critical points o must strictly interlace. We emphasize again that all coeicients o each o the polynomials p i x) appearing below are nonnegative. It will be useul to the reader at this stage to note that the essentially dierent cases are, i) p 0 c 00 > 0 9
10 ii) p 0 c 00 > 0 iii) c 00 =0 It also may be beneicial to draw rough sketches or each o the cases. Lemma 3.2 Let x) =p 0 x) p 1 x)+hx), where hx) =p 2 x) p 3 x)+. Suppose that α) =γ), then hx i )) > 0 or all i. Proo. Let p 1 x) =c n x n + c n+1 x n c r x r,wherec r > 0andn =0is allowed. I n =0,thenp 0 x) 0.) Since the lemma is trivial i αh) = 0, let us assume that αh) > 0. Observe that x 1 h j) ) is deined or 0 j r +1, since h j) 0) = 0 or 0 j r. Now r) x) = r!c r +h r) has a critical point at x 1 h r+1) ). Since α r) )=γ r) ) Lemma 3.1ii)), it ollows that x 1 r) ) <x 1 h r+1) )) < x 1 h r) ), and r) x 1 h r+1) )) > 0. Furthermore, since r) <h r) it ollows that x 1 r) ) <x 1 h r+1) ) < x 2 r) ) < x 1 h r) ). Now r 1) has critical points at x 1 r) )andx 2 r) ) and since α r 1) )=γ r 1) ) it ollows that x 1 r) ) <x 1 r 1) ) <x 2 r) ). Thereore, r 1) x 2 r) )) > 0, and since r 1) <h r 1), it now ollows that x 2 r) ) <x 2 r 1) ) <x 1 h r 1) ). Thus, x 1 r 1) ) <x 2 r) ) <x 2 r 1) ) <x 1 h r 1) ). An easy induction then shows that x 1 j) ) <x 2 j) ) <x 1 h j) ),n j r 1. Now let p 0 x) =d 0 + d 1 x + + d n 1 x n 1. Since it suices to prove the lemma in the generic case, we assume that d i > 0; 0 i n 1. Since n 1) has critical points at x 1 n) )andx 2 n) )andα n 1) )=γ n 1) ), it ollows that n 1) x 1 n) )) < 0and n 1) x 2 n) )) > 0. Since n) x) < h n) x) or x>0, it now ollows that or all x x 1 n) ), n 1) x) = n 1) x 1 n) )) + x x 1 n) ) n) t)dt < x x 1 n) ) hn) t)dt < h n 1) x). By a previous argument, we have that x 1 n) ) <x 2 n) ) <x 1 h n) ) < x 1 h n 1) ). Then, since n 1) x) <h n 1) x) or x x 1 n) ) and since 10
11 n 1) x 2 n) )) > 0, we have that x 3 n 1) ) <x 1 h n 1) ). Thereore, x 1 n 1) ) <x 1 n) ) <x 2 n 1) ) <x 2 n) ) <x 3 n 1) ) <x 1 h n 1) ). Now suppose that or some j with 0 <j n 1, x 1 j) ) <x 2 j) ) <x 3 j) ) <x 1 h j) ) and j) x) <h j) x) or all x>y 1 j) ). Then, exactly the same reasoning as above applies and it ollows that x 1 j 1) ) <x 2 j 1) ) <x 3 j 1) ) <x 1 h j 1) ) j ) and j 1) x) <h j 1) x) or all x>y 1 j 1) ). Thereore, j ) is true or 0 j n 1. In particular, 0 )showsthatx 1 ) <x 1 h). Thus, p 0 x 1 ))+p 1 x 1 )) = hx 1 )) > 0. By Lemma 3.1 p 1 p 0 has only one zero. Thereore, p 1 p 0 )x) is monotone increasing or all x>x 1 p 1 p 0 ). Since p 1 p 0 )x 1 )) > 0, we have x 1 ) >x 1 p 1 p 0 ) and it ollows that hx j )) > 0 or all j. ¾ Lemma 3.3 Let =p 0 p 1 )+p 2 p 3 )+ +p 2k+2 p 2k+3 )+p 2k+4 p 2k+5 )+p 2k+6 ), where g 0 = p 0 p 1, g 1 = p 2 p 3,,g k+1 = p 2k+2 p 2k+3, h = p 2k+4 p 2k+5 + p 2k+6. Suppose that α) =γ), then hx i )) > 0 or all i. Proo. We may assume that γh) 0, or otherwise the result is trivial. Hence, γh j) ) 0 or 0 j degp 2k+3 ). Let n j =degg j )andm j = n j +1 or 0 j k +1. Letm 1 =0. We now regard k as ixed and proceed by induction on l, where 1 l k. From the previous lemma it ollows that x 1 m k) ) <x 2 m k) ) <x 3 m k) ) <x 1 h m k) ) and h m k) m k) )x) is positive and monotone increasing or x y 1 m k) ) We now make the ollowing induction hypothesis: For some l with 0 l k, x 1 m l) ) < <x 2k l)+3 m l) ) <x 1 h m l) ) 11
12 and h ml) ml) )x) is positive and monotone increasing or x y 2k l)+1 ml) ). Let p 2l+1 x) =a 0 x s + a 1 x s a r x r,wherer = n l = m l 1. Now r) x) = x ml) t)dt c, wherec is a nonnegative constant. Observe that 0 r) x) is positive or Thereore, or x satisying 10) x 2k l)+3 r) ) <x<x 2k l)+4 r) ). 10) 0 r) x) = x x 2k l)+3 m l) t)dt x x 2k l)+3 h m l) t)dt by the induction hypothesis since x 2k l)+3 r) ) >y 2k l)+1 m l) )) <h r) x 2k l)+3 r) )) + x x 2k l)+3 h m l) t)dt. Thereore, x 2k l)+4 r) ) <x 1 h r) ) and since α r) )=γ r) ), it ollows that x 1 r) ) <x 1 m l) ) <x 2 r) ) < <x 2k l)+3 m l) ) <x 2k l)+4 r) ) <x 1 h r) ) 11) and h r) r) )x) is positive and monotone increasing or x>y 2k l)+2 r) ). A repetition o the above argument shows that 11) remains true when r is replaced by j and m l by j + 1) or s j r and also shows that x 2k l)+5 ml 1) ) <x 1 h ml 1) ). This veriies the induction hypothesis or l 1). In particular, when l = 1 wehavex 1 ) <x 2 ) < <x 2k+5 ) < x 1 h) andh )x) > 0 or x y 2k+3 ). Since hx) > 0 or 0 <x<x 1 h) and since k+1 j=0 g jx) < 0 or x y 2k+3 ) andy 2k+3 ) <x 1 h), we inally have hx i )) > 0 or all i. ¾ The same argument establishes 12
13 Lemma 3.4 Let = p 0 +p 1 p 2 )+ +p 2k 1 p 2k )+p 2k+1 p 2k+2 )+ Let h = p 2k+1 p 2k+2 +. Suppose that α) =γ), then hx i )) > 0 or all i. Acknowledgements We wish to thank the mathematics department at the University o Caliornia at San Diego and the Math Sciences Research Institute at Berkeley or supporting the irst and last authors respectively as visiting scholars during some o the preparation time o this paper. We also wish to thank the number theorist R. Evans o the University o San Diego or many helpul discussions. Reerences [1] Beauzamy, B. Jensen s inequality or polynomials with concentration at low degrees. Numer. Math. No ) pp [2] Beauzamy, B. and Enlo, P. Estimations de produits de polynômes. J. Number Theory. No ) pp [3] Evans, R. and Greene, J. Polynomials with positive coeicients whose zeros have modulus one. preprint. [4] Evans, R. and Montgomery, P. Elementary Problem Proposal or American Mathematical Monthly. Amer.Math.Mon.toappear. [5] Polya, G. and Szego, G. Problems and theorems in analysis II. Springer- Verlag, [6] Rigler, A.K., Trimble, S.Y., and Varga, R.S. Sharp lower bounds or a generalized Jensen inequality. preprint. 13
Lecture Notes on Polynomials
Lecture Notes on Polynomials Arne Jensen Department of Mathematical Sciences Aalborg University c 008 Introduction These lecture notes give a very short introduction to polynomials with real and complex
Prime Numbers and Irreducible Polynomials
Prime Numbers and Irreducible Polynomials M. Ram Murty The similarity between prime numbers and irreducible polynomials has been a dominant theme in the development of number theory and algebraic geometry.
Some Polynomial Theorems. John Kennedy Mathematics Department Santa Monica College 1900 Pico Blvd. Santa Monica, CA 90405 [email protected].
Some Polynomial Theorems by John Kennedy Mathematics Department Santa Monica College 1900 Pico Blvd. Santa Monica, CA 90405 [email protected] This paper contains a collection of 31 theorems, lemmas,
DEFINITION 5.1.1 A complex number is a matrix of the form. x y. , y x
Chapter 5 COMPLEX NUMBERS 5.1 Constructing the complex numbers One way of introducing the field C of complex numbers is via the arithmetic of matrices. DEFINITION 5.1.1 A complex number is a matrix of
Power functions: f(x) = x n, n is a natural number The graphs of some power functions are given below. n- even n- odd
5.1 Polynomial Functions A polynomial unctions is a unction o the orm = a n n + a n-1 n-1 + + a 1 + a 0 Eample: = 3 3 + 5 - The domain o a polynomial unction is the set o all real numbers. The -intercepts
PUTNAM TRAINING POLYNOMIALS. Exercises 1. Find a polynomial with integral coefficients whose zeros include 2 + 5.
PUTNAM TRAINING POLYNOMIALS (Last updated: November 17, 2015) Remark. This is a list of exercises on polynomials. Miguel A. Lerma Exercises 1. Find a polynomial with integral coefficients whose zeros include
MOP 2007 Black Group Integer Polynomials Yufei Zhao. Integer Polynomials. June 29, 2007 Yufei Zhao [email protected]
Integer Polynomials June 9, 007 Yufei Zhao [email protected] We will use Z[x] to denote the ring of polynomials with integer coefficients. We begin by summarizing some of the common approaches used in dealing
How To Know If A Domain Is Unique In An Octempo (Euclidean) Or Not (Ecl)
Subsets of Euclidean domains possessing a unique division algorithm Andrew D. Lewis 2009/03/16 Abstract Subsets of a Euclidean domain are characterised with the following objectives: (1) ensuring uniqueness
GROUPS ACTING ON A SET
GROUPS ACTING ON A SET MATH 435 SPRING 2012 NOTES FROM FEBRUARY 27TH, 2012 1. Left group actions Definition 1.1. Suppose that G is a group and S is a set. A left (group) action of G on S is a rule for
Chapter 4, Arithmetic in F [x] Polynomial arithmetic and the division algorithm.
Chapter 4, Arithmetic in F [x] Polynomial arithmetic and the division algorithm. We begin by defining the ring of polynomials with coefficients in a ring R. After some preliminary results, we specialize
PROBLEM SET 6: POLYNOMIALS
PROBLEM SET 6: POLYNOMIALS 1. introduction In this problem set we will consider polynomials with coefficients in K, where K is the real numbers R, the complex numbers C, the rational numbers Q or any other
Differentiating under an integral sign
CALIFORNIA INSTITUTE OF TECHNOLOGY Ma 2b KC Border Introduction to Probability and Statistics February 213 Differentiating under an integral sign In the derivation of Maximum Likelihood Estimators, or
HOMEWORK 5 SOLUTIONS. n!f n (1) lim. ln x n! + xn x. 1 = G n 1 (x). (2) k + 1 n. (n 1)!
Math 7 Fall 205 HOMEWORK 5 SOLUTIONS Problem. 2008 B2 Let F 0 x = ln x. For n 0 and x > 0, let F n+ x = 0 F ntdt. Evaluate n!f n lim n ln n. By directly computing F n x for small n s, we obtain the following
FIRST YEAR CALCULUS. Chapter 7 CONTINUITY. It is a parabola, and we can draw this parabola without lifting our pencil from the paper.
FIRST YEAR CALCULUS WWLCHENW L c WWWL W L Chen, 1982, 2008. 2006. This chapter originates from material used by the author at Imperial College, University of London, between 1981 and 1990. It It is is
Real Roots of Univariate Polynomials with Real Coefficients
Real Roots of Univariate Polynomials with Real Coefficients mostly written by Christina Hewitt March 22, 2012 1 Introduction Polynomial equations are used throughout mathematics. When solving polynomials
CONTINUED FRACTIONS AND PELL S EQUATION. Contents 1. Continued Fractions 1 2. Solution to Pell s Equation 9 References 12
CONTINUED FRACTIONS AND PELL S EQUATION SEUNG HYUN YANG Abstract. In this REU paper, I will use some important characteristics of continued fractions to give the complete set of solutions to Pell s equation.
U.C. Berkeley CS276: Cryptography Handout 0.1 Luca Trevisan January, 2009. Notes on Algebra
U.C. Berkeley CS276: Cryptography Handout 0.1 Luca Trevisan January, 2009 Notes on Algebra These notes contain as little theory as possible, and most results are stated without proof. Any introductory
FACTORING POLYNOMIALS IN THE RING OF FORMAL POWER SERIES OVER Z
FACTORING POLYNOMIALS IN THE RING OF FORMAL POWER SERIES OVER Z DANIEL BIRMAJER, JUAN B GIL, AND MICHAEL WEINER Abstract We consider polynomials with integer coefficients and discuss their factorization
Continued Fractions and the Euclidean Algorithm
Continued Fractions and the Euclidean Algorithm Lecture notes prepared for MATH 326, Spring 997 Department of Mathematics and Statistics University at Albany William F Hammond Table of Contents Introduction
4. Complex integration: Cauchy integral theorem and Cauchy integral formulas. Definite integral of a complex-valued function of a real variable
4. Complex integration: Cauchy integral theorem and Cauchy integral formulas Definite integral of a complex-valued function of a real variable Consider a complex valued function f(t) of a real variable
Adaptive Online Gradient Descent
Adaptive Online Gradient Descent Peter L Bartlett Division of Computer Science Department of Statistics UC Berkeley Berkeley, CA 94709 bartlett@csberkeleyedu Elad Hazan IBM Almaden Research Center 650
MATH PROBLEMS, WITH SOLUTIONS
MATH PROBLEMS, WITH SOLUTIONS OVIDIU MUNTEANU These are free online notes that I wrote to assist students that wish to test their math skills with some problems that go beyond the usual curriculum. These
1 if 1 x 0 1 if 0 x 1
Chapter 3 Continuity In this chapter we begin by defining the fundamental notion of continuity for real valued functions of a single real variable. When trying to decide whether a given function is or
Undergraduate Notes in Mathematics. Arkansas Tech University Department of Mathematics
Undergraduate Notes in Mathematics Arkansas Tech University Department of Mathematics An Introductory Single Variable Real Analysis: A Learning Approach through Problem Solving Marcel B. Finan c All Rights
The Ideal Class Group
Chapter 5 The Ideal Class Group We will use Minkowski theory, which belongs to the general area of geometry of numbers, to gain insight into the ideal class group of a number field. We have already mentioned
INTERPOLATION. Interpolation is a process of finding a formula (often a polynomial) whose graph will pass through a given set of points (x, y).
INTERPOLATION Interpolation is a process of finding a formula (often a polynomial) whose graph will pass through a given set of points (x, y). As an example, consider defining and x 0 =0, x 1 = π 4, x
THE FUNDAMENTAL THEOREM OF ALGEBRA VIA PROPER MAPS
THE FUNDAMENTAL THEOREM OF ALGEBRA VIA PROPER MAPS KEITH CONRAD 1. Introduction The Fundamental Theorem of Algebra says every nonconstant polynomial with complex coefficients can be factored into linear
n k=1 k=0 1/k! = e. Example 6.4. The series 1/k 2 converges in R. Indeed, if s n = n then k=1 1/k, then s 2n s n = 1 n + 1 +...
6 Series We call a normed space (X, ) a Banach space provided that every Cauchy sequence (x n ) in X converges. For example, R with the norm = is an example of Banach space. Now let (x n ) be a sequence
Factoring Polynomials
Factoring Polynomials Sue Geller June 19, 2006 Factoring polynomials over the rational numbers, real numbers, and complex numbers has long been a standard topic of high school algebra. With the advent
Roots of Polynomials
Roots of Polynomials (Com S 477/577 Notes) Yan-Bin Jia Sep 24, 2015 A direct corollary of the fundamental theorem of algebra is that p(x) can be factorized over the complex domain into a product a n (x
Numerical Analysis Lecture Notes
Numerical Analysis Lecture Notes Peter J. Olver 5. Inner Products and Norms The norm of a vector is a measure of its size. Besides the familiar Euclidean norm based on the dot product, there are a number
Foundations of mathematics. 2. Set theory (continued)
2.1. Tuples, amilies Foundations o mathematics 2. Set theory (continued) Sylvain Poirier settheory.net A tuple (or n-tuple, or any integer n) is an interpretation o a list o n variables. It is thus a meta-unction
CONTRIBUTIONS TO ZERO SUM PROBLEMS
CONTRIBUTIONS TO ZERO SUM PROBLEMS S. D. ADHIKARI, Y. G. CHEN, J. B. FRIEDLANDER, S. V. KONYAGIN AND F. PAPPALARDI Abstract. A prototype of zero sum theorems, the well known theorem of Erdős, Ginzburg
On the representability of the bi-uniform matroid
On the representability of the bi-uniform matroid Simeon Ball, Carles Padró, Zsuzsa Weiner and Chaoping Xing August 3, 2012 Abstract Every bi-uniform matroid is representable over all sufficiently large
4.3 Lagrange Approximation
206 CHAP. 4 INTERPOLATION AND POLYNOMIAL APPROXIMATION Lagrange Polynomial Approximation 4.3 Lagrange Approximation Interpolation means to estimate a missing function value by taking a weighted average
Course Notes for Math 162: Mathematical Statistics Approximation Methods in Statistics
Course Notes for Math 16: Mathematical Statistics Approximation Methods in Statistics Adam Merberg and Steven J. Miller August 18, 6 Abstract We introduce some of the approximation methods commonly used
Mathematics Course 111: Algebra I Part IV: Vector Spaces
Mathematics Course 111: Algebra I Part IV: Vector Spaces D. R. Wilkins Academic Year 1996-7 9 Vector Spaces A vector space over some field K is an algebraic structure consisting of a set V on which are
SECTION 6: FIBER BUNDLES
SECTION 6: FIBER BUNDLES In this section we will introduce the interesting class o ibrations given by iber bundles. Fiber bundles lay an imortant role in many geometric contexts. For examle, the Grassmaniann
Prime power degree representations of the symmetric and alternating groups
Prime power degree representations of the symmetric and alternating groups Antal Balog, Christine Bessenrodt, Jørn B. Olsson, Ken Ono Appearing in the Journal of the London Mathematical Society 1 Introduction
CHAPTER II THE LIMIT OF A SEQUENCE OF NUMBERS DEFINITION OF THE NUMBER e.
CHAPTER II THE LIMIT OF A SEQUENCE OF NUMBERS DEFINITION OF THE NUMBER e. This chapter contains the beginnings of the most important, and probably the most subtle, notion in mathematical analysis, i.e.,
ON SEQUENTIAL CONTINUITY OF COMPOSITION MAPPING. 0. Introduction
ON SEQUENTIAL CONTINUITY OF COMPOSITION MAPPING Abstract. In [1] there was proved a theorem concerning the continuity of the composition mapping, and there was announced a theorem on sequential continuity
a 1 x + a 0 =0. (3) ax 2 + bx + c =0. (4)
ROOTS OF POLYNOMIAL EQUATIONS In this unit we discuss polynomial equations. A polynomial in x of degree n, where n 0 is an integer, is an expression of the form P n (x) =a n x n + a n 1 x n 1 + + a 1 x
Math 345-60 Abstract Algebra I Questions for Section 23: Factoring Polynomials over a Field
Math 345-60 Abstract Algebra I Questions for Section 23: Factoring Polynomials over a Field 1. Throughout this section, F is a field and F [x] is the ring of polynomials with coefficients in F. We will
Putnam Notes Polynomials and palindromes
Putnam Notes Polynomials and palindromes Polynomials show up one way or another in just about every area of math. You will hardly ever see any math competition without at least one problem explicitly concerning
A Turán Type Problem Concerning the Powers of the Degrees of a Graph
A Turán Type Problem Concerning the Powers of the Degrees of a Graph Yair Caro and Raphael Yuster Department of Mathematics University of Haifa-ORANIM, Tivon 36006, Israel. AMS Subject Classification:
The Australian Journal of Mathematical Analysis and Applications
The Australian Journal of Mathematical Analysis and Applications Volume 7, Issue, Article 11, pp. 1-14, 011 SOME HOMOGENEOUS CYCLIC INEQUALITIES OF THREE VARIABLES OF DEGREE THREE AND FOUR TETSUYA ANDO
RESULTANT AND DISCRIMINANT OF POLYNOMIALS
RESULTANT AND DISCRIMINANT OF POLYNOMIALS SVANTE JANSON Abstract. This is a collection of classical results about resultants and discriminants for polynomials, compiled mainly for my own use. All results
Integer roots of quadratic and cubic polynomials with integer coefficients
Integer roots of quadratic and cubic polynomials with integer coefficients Konstantine Zelator Mathematics, Computer Science and Statistics 212 Ben Franklin Hall Bloomsburg University 400 East Second Street
it is easy to see that α = a
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 UF. Therefore
Classification of Cartan matrices
Chapter 7 Classification of Cartan matrices In this chapter we describe a classification of generalised Cartan matrices This classification can be compared as the rough classification of varieties in terms
Math 115A HW4 Solutions University of California, Los Angeles. 5 2i 6 + 4i. (5 2i)7i (6 + 4i)( 3 + i) = 35i + 14 ( 22 6i) = 36 + 41i.
Math 5A HW4 Solutions September 5, 202 University of California, Los Angeles Problem 4..3b Calculate the determinant, 5 2i 6 + 4i 3 + i 7i Solution: The textbook s instructions give us, (5 2i)7i (6 + 4i)(
Lecture 13 Linear quadratic Lyapunov theory
EE363 Winter 28-9 Lecture 13 Linear quadratic Lyapunov theory the Lyapunov equation Lyapunov stability conditions the Lyapunov operator and integral evaluating quadratic integrals analysis of ARE discrete-time
k, then n = p2α 1 1 pα k
Powers of Integers An integer n is a perfect square if n = m for some integer m. Taking into account the prime factorization, if m = p α 1 1 pα k k, then n = pα 1 1 p α k k. That is, n is a perfect square
CONTINUED FRACTIONS AND FACTORING. Niels Lauritzen
CONTINUED FRACTIONS AND FACTORING Niels Lauritzen ii NIELS LAURITZEN DEPARTMENT OF MATHEMATICAL SCIENCES UNIVERSITY OF AARHUS, DENMARK EMAIL: [email protected] URL: http://home.imf.au.dk/niels/ Contents
MATH10040 Chapter 2: Prime and relatively prime numbers
MATH10040 Chapter 2: Prime and relatively prime numbers Recall the basic definition: 1. Prime numbers Definition 1.1. Recall that a positive integer is said to be prime if it has precisely two positive
Rotation Rate of a Trajectory of an Algebraic Vector Field Around an Algebraic Curve
QUALITATIVE THEORY OF DYAMICAL SYSTEMS 2, 61 66 (2001) ARTICLE O. 11 Rotation Rate of a Trajectory of an Algebraic Vector Field Around an Algebraic Curve Alexei Grigoriev Department of Mathematics, The
SECOND DERIVATIVE TEST FOR CONSTRAINED EXTREMA
SECOND DERIVATIVE TEST FOR CONSTRAINED EXTREMA This handout presents the second derivative test for a local extrema of a Lagrange multiplier problem. The Section 1 presents a geometric motivation for the
Properties of BMO functions whose reciprocals are also BMO
Properties of BMO functions whose reciprocals are also BMO R. L. Johnson and C. J. Neugebauer The main result says that a non-negative BMO-function w, whose reciprocal is also in BMO, belongs to p> A p,and
Elementary Number Theory and Methods of Proof. CSE 215, Foundations of Computer Science Stony Brook University http://www.cs.stonybrook.
Elementary Number Theory and Methods of Proof CSE 215, Foundations of Computer Science Stony Brook University http://www.cs.stonybrook.edu/~cse215 1 Number theory Properties: 2 Properties of integers (whole
E3: PROBABILITY AND STATISTICS lecture notes
E3: PROBABILITY AND STATISTICS lecture notes 2 Contents 1 PROBABILITY THEORY 7 1.1 Experiments and random events............................ 7 1.2 Certain event. Impossible event............................
4.5 Linear Dependence and Linear Independence
4.5 Linear Dependence and Linear Independence 267 32. {v 1, v 2 }, where v 1, v 2 are collinear vectors in R 3. 33. Prove that if S and S are subsets of a vector space V such that S is a subset of S, then
SHARP BOUNDS FOR THE SUM OF THE SQUARES OF THE DEGREES OF A GRAPH
31 Kragujevac J. Math. 25 (2003) 31 49. SHARP BOUNDS FOR THE SUM OF THE SQUARES OF THE DEGREES OF A GRAPH Kinkar Ch. Das Department of Mathematics, Indian Institute of Technology, Kharagpur 721302, W.B.,
LEARNING OBJECTIVES FOR THIS CHAPTER
CHAPTER 2 American mathematician Paul Halmos (1916 2006), who in 1942 published the first modern linear algebra book. The title of Halmos s book was the same as the title of this chapter. Finite-Dimensional
MATH 304 Linear Algebra Lecture 20: Inner product spaces. Orthogonal sets.
MATH 304 Linear Algebra Lecture 20: Inner product spaces. Orthogonal sets. Norm The notion of norm generalizes the notion of length of a vector in R n. Definition. Let V be a vector space. A function α
IRREDUCIBLE OPERATOR SEMIGROUPS SUCH THAT AB AND BA ARE PROPORTIONAL. 1. Introduction
IRREDUCIBLE OPERATOR SEMIGROUPS SUCH THAT AB AND BA ARE PROPORTIONAL R. DRNOVŠEK, T. KOŠIR Dedicated to Prof. Heydar Radjavi on the occasion of his seventieth birthday. Abstract. Let S be an irreducible
11 Ideals. 11.1 Revisiting Z
11 Ideals The presentation here is somewhat different than the text. In particular, the sections do not match up. We have seen issues with the failure of unique factorization already, e.g., Z[ 5] = O Q(
SEQUENCES OF MAXIMAL DEGREE VERTICES IN GRAPHS. Nickolay Khadzhiivanov, Nedyalko Nenov
Serdica Math. J. 30 (2004), 95 102 SEQUENCES OF MAXIMAL DEGREE VERTICES IN GRAPHS Nickolay Khadzhiivanov, Nedyalko Nenov Communicated by V. Drensky Abstract. Let Γ(M) where M V (G) be the set of all vertices
BX in ( u, v) basis in two ways. On the one hand, AN = u+
1. Let f(x) = 1 x +1. Find f (6) () (the value of the sixth derivative of the function f(x) at zero). Answer: 7. We expand the given function into a Taylor series at the point x = : f(x) = 1 x + x 4 x
On the largest prime factor of x 2 1
On the largest prime factor of x 2 1 Florian Luca and Filip Najman Abstract In this paper, we find all integers x such that x 2 1 has only prime factors smaller than 100. This gives some interesting numerical
Duality of linear conic problems
Duality of linear conic problems Alexander Shapiro and Arkadi Nemirovski Abstract It is well known that the optimal values of a linear programming problem and its dual are equal to each other if at least
H/wk 13, Solutions to selected problems
H/wk 13, Solutions to selected problems Ch. 4.1, Problem 5 (a) Find the number of roots of x x in Z 4, Z Z, any integral domain, Z 6. (b) Find a commutative ring in which x x has infinitely many roots.
Stochastic Inventory Control
Chapter 3 Stochastic Inventory Control 1 In this chapter, we consider in much greater details certain dynamic inventory control problems of the type already encountered in section 1.3. In addition to the
Lectures 5-6: Taylor Series
Math 1d Instructor: Padraic Bartlett Lectures 5-: Taylor Series Weeks 5- Caltech 213 1 Taylor Polynomials and Series As we saw in week 4, power series are remarkably nice objects to work with. In particular,
The Heat Equation. Lectures INF2320 p. 1/88
The Heat Equation Lectures INF232 p. 1/88 Lectures INF232 p. 2/88 The Heat Equation We study the heat equation: u t = u xx for x (,1), t >, (1) u(,t) = u(1,t) = for t >, (2) u(x,) = f(x) for x (,1), (3)
Ideal Class Group and Units
Chapter 4 Ideal Class Group and Units We are now interested in understanding two aspects of ring of integers of number fields: how principal they are (that is, what is the proportion of principal ideals
No: 10 04. Bilkent University. Monotonic Extension. Farhad Husseinov. Discussion Papers. Department of Economics
No: 10 04 Bilkent University Monotonic Extension Farhad Husseinov Discussion Papers Department of Economics The Discussion Papers of the Department of Economics are intended to make the initial results
Stationary random graphs on Z with prescribed iid degrees and finite mean connections
Stationary random graphs on Z with prescribed iid degrees and finite mean connections Maria Deijfen Johan Jonasson February 2006 Abstract Let F be a probability distribution with support on the non-negative
FIXED INCOME ATTRIBUTION
Sotware Requirement Speciication FIXED INCOME ATTRIBUTION Authors Risto Lehtinen Version Date Comment 0.1 2007/02/20 First Drat Table o Contents 1 Introduction... 3 1.1 Purpose o Document... 3 1.2 Glossary,
CONSTANT-SIGN SOLUTIONS FOR A NONLINEAR NEUMANN PROBLEM INVOLVING THE DISCRETE p-laplacian. Pasquale Candito and Giuseppina D Aguí
Opuscula Math. 34 no. 4 2014 683 690 http://dx.doi.org/10.7494/opmath.2014.34.4.683 Opuscula Mathematica CONSTANT-SIGN SOLUTIONS FOR A NONLINEAR NEUMANN PROBLEM INVOLVING THE DISCRETE p-laplacian Pasquale
Quotient Rings and Field Extensions
Chapter 5 Quotient Rings and Field Extensions In this chapter we describe a method for producing field extension of a given field. If F is a field, then a field extension is a field K that contains F.
Nonparametric adaptive age replacement with a one-cycle criterion
Nonparametric adaptive age replacement with a one-cycle criterion P. Coolen-Schrijner, F.P.A. Coolen Department of Mathematical Sciences University of Durham, Durham, DH1 3LE, UK e-mail: [email protected]
A 2-factor in which each cycle has long length in claw-free graphs
A -factor in which each cycle has long length in claw-free graphs Roman Čada Shuya Chiba Kiyoshi Yoshimoto 3 Department of Mathematics University of West Bohemia and Institute of Theoretical Computer Science
arxiv:1112.0829v1 [math.pr] 5 Dec 2011
How Not to Win a Million Dollars: A Counterexample to a Conjecture of L. Breiman Thomas P. Hayes arxiv:1112.0829v1 [math.pr] 5 Dec 2011 Abstract Consider a gambling game in which we are allowed to repeatedly
LINEAR ALGEBRA W W L CHEN
LINEAR ALGEBRA W W L CHEN c W W L Chen, 1997, 2008 This chapter is available free to all individuals, on understanding that it is not to be used for financial gain, and may be downloaded and/or photocopied,
Die ganzen zahlen hat Gott gemacht
Die ganzen zahlen hat Gott gemacht Polynomials with integer values B.Sury A quote attributed to the famous mathematician L.Kronecker is Die Ganzen Zahlen hat Gott gemacht, alles andere ist Menschenwerk.
Is the trailing-stop strategy always good for stock trading?
Is the trailing-stop strategy always good or stock trading? Zhe George Zhang, Yu Benjamin Fu December 27, 2011 Abstract This paper characterizes the trailing-stop strategy or stock trading and provides
I. GROUPS: BASIC DEFINITIONS AND EXAMPLES
I GROUPS: BASIC DEFINITIONS AND EXAMPLES Definition 1: An operation on a set G is a function : G G G Definition 2: A group is a set G which is equipped with an operation and a special element e G, called
arxiv:math/0202219v1 [math.co] 21 Feb 2002
RESTRICTED PERMUTATIONS BY PATTERNS OF TYPE (2, 1) arxiv:math/0202219v1 [math.co] 21 Feb 2002 TOUFIK MANSOUR LaBRI (UMR 5800), Université Bordeaux 1, 351 cours de la Libération, 33405 Talence Cedex, France
Sign changes of Hecke eigenvalues of Siegel cusp forms of degree 2
Sign changes of Hecke eigenvalues of Siegel cusp forms of degree 2 Ameya Pitale, Ralf Schmidt 2 Abstract Let µ(n), n > 0, be the sequence of Hecke eigenvalues of a cuspidal Siegel eigenform F of degree
How To Prove The Dirichlet Unit Theorem
Chapter 6 The Dirichlet Unit Theorem As usual, we will be working in the ring B of algebraic integers of a number field L. Two factorizations of an element of B are regarded as essentially the same if
A REMARK ON ALMOST MOORE DIGRAPHS OF DEGREE THREE. 1. Introduction and Preliminaries
Acta Math. Univ. Comenianae Vol. LXVI, 2(1997), pp. 285 291 285 A REMARK ON ALMOST MOORE DIGRAPHS OF DEGREE THREE E. T. BASKORO, M. MILLER and J. ŠIRÁŇ Abstract. It is well known that Moore digraphs do
Chapter 1 A Pri Characterization of T m e Pairs w in Proceedings NCUR V. (1991), Vol. I, pp. 362{366. Jerey F. Gold Department of Mathematics, Department of Physics University of Utah DonH.Tucker Department
An example of a computable
An example of a computable absolutely normal number Verónica Becher Santiago Figueira Abstract The first example of an absolutely normal number was given by Sierpinski in 96, twenty years before the concept
