Phase transitions related to the pigeonhole principle
|
|
- Samson Lawson
- 5 years ago
- Views:
Transcription
1 Phase transitions relate to the pigeonhole principle Michiel De Smet an Anreas Weiermann Smisestraat 92 B 9000 Ghent Belgium ms@michielesmet.eu 2 Department of Mathematics Ghent University Builing S22 Krijgslaan 28 B 9000 Ghent Belgium Anreas.Weiermann@UGent.be Abstract. Since Jeff Paris introuce them in the late seventies [Par78], ensities turne out to be useful for stuying inepenence results. Motivate by their simplicity an surprising strength we investigate the combinatorial complexity of two such ensities which are strongly relate to the pigeonhole principle. The aim is to miniaturise Ramsey s Theorem for -tuples. The first principle uses an unlimite amount of colours, whereas the secon has a fixe number of two colours. We show that these principles give rise to Ackermannian growth. After parameterising these statements with respect to a function f : N N, we investigate for which functions f Ackermannian growth is still preserve. Keywors Ackermann function, pigeonhole principle, Ramsey theory, phase transitions. Introuction The pigeonhole principle is one of the most well-know combinatorial principles, ue to both its simplicity an usefulness. The principle is also known as the chest-of-rawers principle or Schubfachprinzip an is attribute to Dirichlet in 834. The pigeonhole principle can also be consiere as a finite instance of Ramsey s theorem for -tuples. So, if RT n k stans for Ramsey s Theorem for n imensions an k colours, i.e. RT n k For every G: [N] n k there exists an infinite set H such that G [H] n is constant, Research supporte in part by Fons Wetenschappelijk Onerzoek (FWO) - Flaners Research supporte in part by(fwo) an the John Templeton Founation
2 then the pigeonhole principle is a finite instance of RT < = k RT k. In this paper we will investigate miniaturisations of the statements RT < an RT 2. Let us recall some results from reverse mathematics: for any fixe natural number k, RCA 0 RT k, whereas WKL 0 RT <. Both results are ue to Hirst (see [Hir87], Theorem 6.3 an Theorem 6.5). In aition, there it is also prove that RT < oes not imply ACA 0 over RCA 0. As it oes not fit nicely into the programme of reverse mathematics, one might be tempte to think that RT < is of little importance. However, it pops up every now an then in the literature. It is, for instance, equivalent to Rao s Lemma over RCA 0 (see [Hir87], Theorem 6.6). For miniaturising RT < an RT 2 we efine two notions of ensity, n-ensity an (α, 2)-ensity, which are parametrise by a function f : N N. Using these notions we efine two first orer assertions an stuy their provability with respect to IΣ, the first-orer part of RCA 0. We show which f give rise to Ackermannian growth an etermine the exact phase transition. In case of n-ensity Ackermannian growth is obtaine for f(i) = A ω A i (i), whereas for f(i) = i (i) it is not. Here A enotes the -th branch of the Ackermann function A ω. Our proof will show that in these results A ω (A ) coul be replace by any non ecreasing unboune non primitive recursive function (resp. by any non ecreasing unboune primitive recursive function). In the case of (α, 2)-ensity we restrict ourselves to only two colours an strength isappears, as expecte. Surprisingly, iterating up to ω 2 suffices to gain proof theoretic strength again. It turns out that f(i) = log(i) gives rise to A (i) no more than primitive recursive growth, but f(i) = A ω (i) log(i) oes. Our proof will show that also in these results A ω (A ) coul be replace by any non ecreasing unboune non primitive recursive function (resp. by any non ecreasing unboune primitive recursive function). We woul like to mention that the n-ensity threshol functions are exactly the same as those for the parameterise Kanamori-McAloon principle, whereas the (ω 2, 2)-ensity functions equal those for the parameterise Paris-Harrington principle [KLOW08,WVH202]. It is our hope that by investigating miniaturisations of RT < an RT 2 2 one coul obtain insights into the seemingly ifficult question whether RT 2 2 oes or oes not prove the totality of the Ackermann function (the so calle Ramsey for pairs problem). For relate work we also we also refer to [DSW08] an the unpublishe PhD thesis of the first author [DS]. 2 n-density Henceforth, let f : N N be any (elementary recursive function), such that f(x) x, for x large enough. We efine the functions F f,k an F f, epening
3 on f, by F f,0 (n) := n + F f,k+ (n) := F f,k (... (F f,k (n))...) := F f(n) f,k }{{} (n) f(n) times F f (n) := F f,n (n), for every k, n N. If it is clear which f we are working with, we leave out the subscript f an simply write F k an F, instea of F f,k an F f, respectively. We also consier functions f with non integer values. It is then unerstoo that we roun a value f(i) own to f(i), the biggest natural number below f(i). Moreover we assume that f has always values at least as big as. It is easy to verify that the functions F f,k an F f are strictly monotonic increasing if the parameter function f is non ecreasing. In case of f(i) = i we write A ω for F f an A for F f,. A ω is a stanar choice for the well known Ackermann function, which is a recursive but not a primitive recursive function. The function A is calle the -th branch of the Ackermann function. Every function A is primitive recursive. In [OW09] a classification is given of those functions f for which F f is primitive or non primitive recursive. Let us efine n-ensity, the first ensity notion relate to the pigeonhole principle. In this case the number of colours epens on the minimum of X an the function f. Definition X is calle 0-ense(f) if X max{f(min X), 3}. X is calle (n + )-ense(f) if for all G : X f(min X), there exists Y X, such that Y is homogeneous for G an Y is n-ense(f). Lemma Assume that k l an that X [k, l] an that f, g : [k, l] N are two functions such that f(i) g(i) for all i [k, l]. If X is n-ense(g) then X is n-ense(f). Proof. One verifies the claim easily by inuction on n. 2. Upper boun Lemma 2 Let f be non ecreasing. Let n N an X N be a finite set. If X is n-ense(f), then max X F f,n (min X). Proof. Being of no importance for the proof itself, we leave out the subscript f. Henceforth, let x 0 = min X an c = f(x 0 ). The proof goes by inuction on n. If X is 0-ense(f), then X max{f(x 0 ), 3}. Thus, max X x F 0 (x 0 ). Seconly, assume the statement is proven for n an X is (n + )-ense(f). Consier the following partition of X = 0 i<c Y i, where Y i is efine by Y i = {x X F i n(x 0 ) x < F i+ n (x 0 )}
4 for 0 i < c an Y c = {x X Fn c (x 0 ) x}. Now, efine G : X c, as follows G(x) := i, for x Y i. Since X is (n + )-ense(f), there exists a subset Y of X, such that Y is n-ense(f) an homogeneous for G. By contraiction assume Y Y i0 for some i 0 with 0 i 0 < c. The n-ensity of Y an the monotonicity of F n yiel F i0+ n (x 0 ) max Y i0 max Y F n (min Y ) F n (min Y i0 ) F n (F i0 n (x 0 )) = F i0+ n (x 0 ), a contraiction. So Y Y c, which implies max X = max Y c max Y F n (min Y ) F n (min Y c ) F n (Fn c (x 0 )) = Fn(x c 0 ) = Fn f(x0) (x 0 ) = F n+ (x 0 ), by the n-ensity of Y. This conclues the inuction argument. Definition 2 Define PHP f : N N by PHP f (n) := min{n N [n, n ] is n-ense(f)}. Let f(i) = i A ω (i), where A ω enotes the Ackermann fuction. Then F f is Ackermannian, ue to Theorem in [OW09]. If f woul be non ecreasing then Lemma 2 woul yiel PHP f (n) F f,n (n) = F f (n), for all n N, hence also PHP f woul Ackermannian. Since the provably total functions of IΣ are exactly the primitive recursive functions, we woul immeiately obtain that PHP f woul not be provably recursive in IΣ. We now show how to overcome this problem. Theorem If f(i) = i A ω (i), then IΣ ( n)( a)( b)([a, b] is n-ense(f)). Proof. Let p(n) := n+ + (n + ) n+ an let f k (i) := i k. It suffices to show that PHP f (p(n)) > A ω (n) Assume that PHP f (p(n)) A ω (n). Then for i A ω (n) one has that A ω (i) n which yiels f(i) f n (i) for all i PHP f (p(n)). The proof of Claim 2.2 from [KLOW08] yiels F fn+,n+n 2 +4n+5(p(n) > A ω (n). Together with Lemma this yiels PHP f (p(n)) PHP fn (p(n)) F fn+,n+n 2 +4n+5(p(n)) > A ω (n) which is a contraiction.
5 2.2 Lower boun A Let f(i) = i (i), where A enotes the -th branch of the Ackermann function A ω. This function is not weakly increasing on its omain. For i [A (k), A (k + ) ] one has that A (i) = k an on such intervals f will be non ecreasing. In intervals of the form i [A (k), A (k)] the function A jumps from k to k. But since the intervals of the form [A (k), A (k + ) ] are rather long it is very easy to fin enough points b such that f(b) f(i) for all i b. One simply has to choose b so large that f majorizes f(c) where c is the initial point of a last jump interval which comes before b. With this caveat we can consier f basically as non ecreasing function although it in fact is not. Theorem 2 If f(i) = i A (i), then IΣ ( n)( a)( b)([a, b] is n-ense(f)). Proof. Assume that n an a are given. Put b := 2 A (a2 n+ )2 n+. Then f(i) f(b) for all i b. We claim that any Y [a, b] with Y > 2 A (a2 n+ )2 k is k-ense(f). To prove the claim we procee by inuction on k. Assume the claim hols for k an consier Y [a, b] with Y > 2 A (a2 n+ )2 k. Since 2 A (a2 n+ )2 n+ > A (2 n+ ), we have f(min Y ) < f(b) = (2 A (a2 n+ )2 n+ ) (2 A (a2 n+ )2 n+ ) A (2A (a2n+ )2 n+ ) A (A (2n+ )) = (2 A (a2 n+ )2 n+ ) 2 n+ = 2 A (a2 n+) 2 A (a2 n+ )2 k. Let c = f(min Y ) an G : Y c be any function. Consier the partition of Y inuce by G, i.e. Y = 0 i<c Y i, with Y i = {y Y G(y) = i}. By contraiction, assume that Y i 2 A (a2 n+ )2 k for every 0 i < c. Then 2 A (a2 n+ )2 k < Y c 2 A (a2 n+ )2 k = f(min Y ) 2 A (a2 n+ )2 k < 2 A (a2 n+ )2 k 2 A (a2 n+ )2 k = 2 A (a2 n+ )2 k +A (a2 n+ )2 k = 2 A (a2 n+ )2 k, a contraiction. Thus, there exists an inex i 0 {0,..., c }, such that Y i0 > 2 A (a2 n+ )2 k. The inuction hypothesis yiels that Y i0 is (k )-ense(f) an by efinition Y i0 is homogeneous for G, so Y is k-ense(f). If k = 0 then Y > 2 A (a2 n+) > f(min Y ), which completes the inuction argument an proves the claim. Now return to [a, b]. [a, b] is n-ense(f) since [a, b] 2 A (a2 n+ )2 n+ a 2 A (a2 n+ )2 n. Remarking that the function E : N N N, efine by E(a, n) = 2 A (a2 n+ )2 n+ is primitive recursive, completes the proof. Let PHP f stan for ( n)( a)( b)([a, b] is n-ense(f)). Then we obtain the following picture.
6 IΣ PHP f f(i) = i A ω (i) threshol region f(i) = i A (i) IΣ PHP f Fig.. Phase transition for PHP f. 3 (α, 2)-Density In this section we work with a fixe number of colours, namely two. For a limit orinal not exceeing ω 2 we efine the funamental sequence as follows. We put ω (k + )[n] = ω k + n an we set ω 2 [n] = ω n. Definition 3 X is calle (0, 2)-ense(f) if X max{f(min X), 3}. X is calle (α +, 2)-ense(f) if for all G : X 2 there exists Y X, such that Y is (α, 2)-ense(f) an Y is homogeneous for G. If λ is a limit orinal, then X is calle (λ, 2)-ense(f) if for all G : X 2 there exists Y X, such that Y is (λ[min X], 2)-ense(f) an Y is homogeneous for G. Lemma 3 Let k l an f, g : [k, l] N be non ecreasing such that f(i) g(i) for all i [k, l]. If X [k, l] is (n, 2)-ense(g) then X is is (n, 2)-ense(g). 3. Upper boun In this section we will use another hierarchy which we call B f,α an which turns out to be relate to F f,k. We efine B α, epening on f, by B f,0 (n) := n + B f,α+ (n) := B f,α (B f,α (n)) := B 2 f,α(n) B f,λ (n) := B f,λ[f(n)] (n), for all n N an orinals α an λ, with the latter a limit orinal. As for F f, we leave out the subscript f an write B α if it is clear which f we are working with. We first show a simple lemma concerning the relation between the two hierarchies efine in this paper. This lemma might be consiere as folklore. Lemma 4 Let k, l an m be natural numbers. Then B f,ω k+l (m) = F 2l 2 f,k (m). Proof. We procee by main inuction on k an subsiiary inuction on l. If k equals l equals zero, we have B f,0 (m) = m + = F 2 f,0(m).
7 Assume the statement is proven for k, we will prove it for k by subsiiary inuction on l. If l = 0, then the main inuction hypothesis yiels B f,ω (k ) (m) = F 2 f,k (m). Assume the claim is proven for l. We have B f,ω (k )+l (m) = B f,ω (k )+l (B f,ω (k )+l (m)) = F 2l 2l 2l 2 f,k (F2 f,k (m)) = F2 f,k (m), which proves the statement for k an every l. Using this fact, we obtain B f,ω k (m) = B f,ω (k )+ω[f(m)] (m)) = B f,ω (k )+f(m) (m)) = F 2f(m) 2 f,k (m) = F 2 f,k(m), which conclues the main inuction an proves the statement. Lemma 5 Let f be non ecreasing. Let n be a natural number an α be any orinal. If X N is (α, 2)-ense(f), then max X B f,α (min X). Proof. Being of no importance for the proof itself, we leave out the subscript f. Henceforth, let x 0 = min X. The proof goes by transfinite inuction on α. If X is (0, 2)-ense(f), then X max{f(x 0 ), 3}. Thus, max X x > x 0 + = B 0 (x 0 ). Assume the statement is proven for α an X is (α +, 2)-ense(f). Define G : X 2 as follows { 0 if x 0 x < B α (x 0 ) G(x) :=, if B α (x 0 ) x for all x X. Since X is (α +, 2)-ense(f), there exists a subset Y of X, such that Y is (α, 2)-ense(f) an Y is homogeneous with respect to G. By contraiction, assume G takes colour 0 on Y. Then, by the inuction hypothesis, B α (x 0 ) max Y B α (min Y ) = B α (x 0 ), a contraiction. So, the colour nees to be, which implies The inuction hypothesis yiels Y {x X B α (x 0 ) x}. max X max Y B α (min Y ) = B α (B α (x 0 )) = B α+ (x 0 ). Finally, assume the statement is proven for all α < λ, with λ a limit orinal, an X is (λ, 2)-ense(f). There exists a subset Y which is (λ[f(x 0 )], 2)-ense(f). We obtain by the inuction hypothesis max X max Y B λ[f(x0)](min Y ) B λ[f(x0)](x 0 ) = B λ (x 0 ). This completes the proof.
8 Definition 4 Define PHP2 f : N N by Fix f(i) = PHP2 f (n) := min{n N [n, n ] is (ω 2, 2)-ense(f)}. A ω (i) log(i) for the rest of this subsection. Lemma 6 Let f n (i) := n log 2(i). Then PHP2 fn (2 n2 ) F 2 fn (n) hols for every n N. Proof. Let X = [2 n2, PHP2 f (2 n2 )]. Define G : X 2 by G(x) = 0 for every x X. Since X is (ω 2, 2)-ense(f n ) there exists Y X, such that Y is (ω 2 [f n (min X)], 2)-PHP2-ense(f n ), i.e. (ω f n (2 n2 ), 2)-ense(f n ). Lemma 4 an Lemma 5 yiel PHP2(2 n2 ) max Y B fn,ω f(min Y )(min Y ) B fn,ω f(2 n2 ) (2n2 ) since f n (2 n2 ) = n. Corollary If f(i) = = F 2 fn,f n(2 n2 ) (2n2 ) F 2 fn,n(n) = F 2 fn (n), A ω (i) log(i), then IΣ ( a)( b)([a, b] is (ω 2, 2)-ense(f)). Proof. Let p(n) = 4+3 n+ +(n+) n+ an f k (i) := k log 2(i). It suffices to show that PHP2 f (2 p(n)2 ) > A ω (n). Assume for a contraiction that PHP2 f (2 p(n)2 ) A ω (n). For i A ω (n) one has A ω (i) n hence f(i) f n (i) for all i PHP2 f (2 p(n)2 ). This yiels PHP2 f (2 p(n)2 ) PHP2 fn (2 p(n)2 ) F 2 fn (p(n) > A ω (n). Contraiction! 3.2 Lower boun As in Section 2.2 let f(i) = log(i), where A A (i) enotes the th branch of the Ackermann function A ω. Recall from Section 2.2 that f is almost non ecreasing an that it is easy to ientify the jumps for f. Theorem 3 If f(i) = log(i), then A (i) IΣ ( a)( b)([a, b] is (ω 2, 2)-ense(f)). Proof. Assume that a is given. Put b := 2 A (2 a+2 )2 a+. Then f(i) f(b) for all i b. We claim that any Y [a, b], with Y > 2 A (2 a+2 )2 k is (ω k, 2)-ense(f). The proof goes by inuction on k. Let k = 0. Since 2 A (2 a+2 )2 a+ > A (2 a+2 ), we have f(min Y ) < f(b) = A (2A (2 a+2 )2 a+ ) log(2a (2 a+2 )2 a+ ) < 2 a+2 A (2 a+2 )2 a+ < A (2 a+2 ),
9 so, Y > 2 A (2 a+2) > max{f(min Y ), 3}, i.e. Y is (0, 2)-ense(f). Assume the assertion hols for k an consier Y [a, b] with Y > 2 A (2 a+2 )2 k. We claim that if Z Y an Z > 2 A (2 a+2 )2 k +l, then Z is (ω (k ) + l, 2)-ense(f). The proof goes by subsiiary inuction on l. If l = 0, then the claim follows by the main inuction hypothesis. Assume the claim hols for l an Z > 2 A (2 a+2 )2 k +l. Let G : Z 2 be any function. Consier the partition of Z inuce by G, i.e. Z = Z 0 Z, with Z i = {z Z G(z) = i}. By contraiction, assume that for i = 0,. Then Z i 2 A (2 a+2 )2 k +l, 2 A (2 a+2 )2 k +l < Z 2 2 A (2 a+2 )2 k +l = 2 A (2 a+2 )2 k +l, a contraiction. Thus, there exists an inex i 0 {0, }, such that Z i0 > 2 A (2 a+2 )2 k +l. The inuction hypothesis yiels Z i0 is (ω (k ) + l, 2)- ense(f), an so Z is (ω (k ) + l, 2)-ense(f), since Z i0 is homogeneous for G. This proves the latter claim. Now return to Y. Let G : Y 2 be any function. Consier the partition of Y inuce by G, i.e. Y = Y 0 Y, with Y i = {y Y G(y) = i}. In the same way as above, one can prove there exists an inex i 0 {0, }, such that Since Y i0 > 2 A (2 a+2 )2 k = 2 A (2 a+2 )2 k +A (2 a+2 )2 k. A (2 a+2 )2 k A (2 a+2 ) f(min Y ) +, we have Y i0 > 2 A (2 a+2 )2 k +f(min Y ). The latter claim yiels Y i0 is (ω (k ) + f(min Y ), 2)-ense(f), i.e. (ω k[f(min Y )], 2)-ense(f). Thus Y is (ω k, 2)- ense(f), since Y i0 is homogeneous for G. We finally prove that [a, b] is (ω 2, 2)-ense(f). Let G : [a, b] 2 be any function an consier the partition of [a, b] inuce by G, i.e. [a, b] = Y 0 Y, with Y i = {y [a, b] G(y) = i}. Remark that [a, b] > 2 A (2 a+2 )2 a+ a 2 A (2 a+2 )2 a +. Similarly as before, there exists an inex i 0 {0, }, such that Y i0 > 2 A (2 a+2 )2 a 2 A (2 a+2 )2 f(a). The main claim yiels Y is (ω f(a), 2)-ense(f), i.e. (ω 2 [f(a)], 2)-ense(f). In combination with Y i0 being homogeneous for G, this implies [a, b] is (ω 2, 2)- ense(f).
10 IΣ PHP2 f f(i) = A ω (i) log(i) threshol region f(i) = log(i) A (i) IΣ PHP2 f Fig. 2. Phase transition for PHP2 f. Let PHP2 f stan for ( n)( a)( b)([a, b] is (ω 2, 2)-ense(f)). Once again, we obtain the following picture. In accorance with the referees (for which we are grateful for valuable comments) we expect that it will be not too har to show that for natural choices of f the principles PHP log f an PHP2 f are equivalent over IΣ. References [DSW08] Michiel De Smet an Anreas Weiermann: Phase Transitions for Weakly Increasing Sequences. Proceeings of CiE 2008, (2008) [DS] Michiel De Smet : Unprovability an phase transitions in Ramsey theory. PhD thesis, Ghent 20. [Hir87] Jeffry Lynn Hirst. Combinatorics in subsystems of secon-orer arithmetic. PhD thesis, Pennsylvania State University, 987. [KLOW08] Menachem Kojman, Gyesik Lee, Eran Omri an Anreas Weiermann: Sharp threshols for the phase transition between primitive recursive an Ackermannian Ramsey numbers JCT A. 5(6). (2008), p [OW09] Eran Omri an Anreas Weiermann. Classifying the phase transition threshol for Ackermannian functions. Ann. Pure Appl. Logic, 58(3):56 62, [WVH202] Anreas Weiermann an Wim Van Hoof: Sharp phase transition threshols for the Paris Harrington Ramsey numbers for a fixe imension. Proc. Amer. Math. Soc. 40 (202), no. 8, [Par78] Jeff B. Paris. Some inepenence results for Peano arithmetic. J. Symbolic Logic, 43(4):725 73, 978.
Lower Bounds for the Smoothed Number of Pareto optimal Solutions
Lower Bouns for the Smoothe Number of Pareto optimal Solutions Tobias Brunsch an Heiko Röglin Department of Computer Science, University of Bonn, Germany brunsch@cs.uni-bonn.e, heiko@roeglin.org Abstract.
More informationON THE ROLE OF THE COLLECTION PRINCIPLE FOR Σ 0 2-FORMULAS IN SECOND-ORDER REVERSE MATHEMATICS
ON THE ROLE OF THE COLLECTION PRINCIPLE FOR Σ 0 2-FORMULAS IN SECOND-ORDER REVERSE MATHEMATICS C. T. CHONG, STEFFEN LEMPP, AND YUE YANG Abstract. We show that the principle PART from Hirschfeldt and Shore
More informationThe strength of infinitary ramseyan principles can be accessed by their densities
The strength of infinitary ramseyan principles can be accessed by their densities Andrey Bovykin, Andreas Weiermann Abstract We conduct a model-theoretic investigation of three infinitary ramseyan statements:
More informationOrdinal Analysis and the Infinite Ramsey Theorem
Ordinal Analysis and the Infinite Ramsey Theorem Bahareh Afshari and Michael Rathjen Abstract The infinite Ramsey theorem is known to be equivalent to the statement for every set X and natural number n,
More informationWitt#5: Around the integrality criterion 9.93 [version 1.1 (21 April 2013), not completed, not proofread]
Witt vectors. Part 1 Michiel Hazewinkel Sienotes by Darij Grinberg Witt#5: Aroun the integrality criterion 9.93 [version 1.1 21 April 2013, not complete, not proofrea In [1, section 9.93, Hazewinkel states
More informationProof Theory and Subsystems of Second-Order Arithmetic
Proof Theory and Subsystems of Second-Order Arithmetic 1. Background and Motivation Why use proof theory to study theories of arithmetic? 2. Conservation Results Showing that if a theory T 1 proves ϕ,
More informationA Weak First Digit Law for a Class of Sequences
International Mathematical Forum, Vol. 11, 2016, no. 15, 67-702 HIKARI Lt, www.m-hikari.com http://x.oi.org/10.1288/imf.2016.6562 A Weak First Digit Law for a Class of Sequences M. A. Nyblom School of
More informationON THE ROLE OF THE COLLECTION PRINCIPLE FOR Σ 0 2-FORMULAS IN SECOND-ORDER REVERSE MATHEMATICS
PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 00, Number 0, Pages 000 000 S 0002-9939(XX)0000-0 ON THE ROLE OF THE COLLECTION PRINCIPLE FOR Σ 0 2-FORMULAS IN SECOND-ORDER REVERSE MATHEMATICS
More informationAcute sets in Euclidean spaces
Acute sets in Eucliean spaces Viktor Harangi April, 011 Abstract A finite set H in R is calle an acute set if any angle etermine by three points of H is acute. We examine the maximal carinality α() of
More informationA new proof of the sharpness of the phase transition for Bernoulli percolation on Z d
A new proof of the sharpness of the phase transition for Bernoulli percolation on Z Hugo Duminil-Copin an Vincent Tassion October 8, 205 Abstract We provie a new proof of the sharpness of the phase transition
More informationDiscrete Mathematics
Discrete Mathematics 309 (009) 86 869 Contents lists available at ScienceDirect Discrete Mathematics journal homepage: wwwelseviercom/locate/isc Profile vectors in the lattice of subspaces Dániel Gerbner
More informationColoring Problems and Reverse Mathematics. Jeff Hirst Appalachian State University October 16, 2008
Coloring Problems and Reverse Mathematics Jeff Hirst Appalachian State University October 16, 2008 These slides are available at: www.mathsci.appstate.edu/~jlh Pigeonhole principles RT 1 : If f : N k then
More informationOn Ramsey s Theorem for Pairs
On Ramsey s Theorem for Pairs Peter A. Cholak, Carl G. Jockusch Jr., and Theodore A. Slaman On the strength of Ramsey s theorem for pairs. J. Symbolic Logic, 66(1):1-55, 2001. www.nd.edu/~cholak Ramsey
More informationSharp Thresholds. Zachary Hamaker. March 15, 2010
Sharp Threshols Zachary Hamaker March 15, 2010 Abstract The Kolmogorov Zero-One law states that for tail events on infinite-imensional probability spaces, the probability must be either zero or one. Behavior
More informationPDE Notes, Lecture #11
PDE Notes, Lecture # from Professor Jalal Shatah s Lectures Febuary 9th, 2009 Sobolev Spaces Recall that for u L loc we can efine the weak erivative Du by Du, φ := udφ φ C0 If v L loc such that Du, φ =
More information6 General properties of an autonomous system of two first order ODE
6 General properties of an autonomous system of two first orer ODE Here we embark on stuying the autonomous system of two first orer ifferential equations of the form ẋ 1 = f 1 (, x 2 ), ẋ 2 = f 2 (, x
More informationON THE DISTANCE BETWEEN SMOOTH NUMBERS
#A25 INTEGERS (20) ON THE DISTANCE BETWEEN SMOOTH NUMBERS Jean-Marie De Koninc Département e mathématiques et e statistique, Université Laval, Québec, Québec, Canaa jm@mat.ulaval.ca Nicolas Doyon Département
More informationRegular tree languages definable in FO and in FO mod
Regular tree languages efinable in FO an in FO mo Michael Beneikt Luc Segoufin Abstract We consier regular languages of labele trees. We give an effective characterization of the regular languages over
More informationComputing Exact Confidence Coefficients of Simultaneous Confidence Intervals for Multinomial Proportions and their Functions
Working Paper 2013:5 Department of Statistics Computing Exact Confience Coefficients of Simultaneous Confience Intervals for Multinomial Proportions an their Functions Shaobo Jin Working Paper 2013:5
More informationSelection principles and the Minimal Tower problem
Note i Matematica 22, n. 2, 2003, 53 81. Selection principles an the Minimal Tower problem Boaz Tsaban i Department of Mathematics an Computer Science, Bar-Ilan University, Ramat-Gan 52900, Israel tsaban@macs.biu.ac.il,
More informationTHE POLARIZED RAMSEY S THEOREM
THE POLARIZED RAMSEY S THEOREM DAMIR D. DZHAFAROV AND JEFFRY L. HIRST Abstract. We study the effective and proof-theoretic content of the polarized Ramsey s theorem, a variant of Ramsey s theorem obtained
More informationA Sketch of Menshikov s Theorem
A Sketch of Menshikov s Theorem Thomas Bao March 14, 2010 Abstract Let Λ be an infinite, locally finite oriente multi-graph with C Λ finite an strongly connecte, an let p
More informationOn the enumeration of partitions with summands in arithmetic progression
AUSTRALASIAN JOURNAL OF COMBINATORICS Volume 8 (003), Pages 149 159 On the enumeration of partitions with summans in arithmetic progression M. A. Nyblom C. Evans Department of Mathematics an Statistics
More informationCombinatorica 9(1)(1989) A New Lower Bound for Snake-in-the-Box Codes. Jerzy Wojciechowski. AMS subject classification 1980: 05 C 35, 94 B 25
Combinatorica 9(1)(1989)91 99 A New Lower Boun for Snake-in-the-Box Coes Jerzy Wojciechowski Department of Pure Mathematics an Mathematical Statistics, University of Cambrige, 16 Mill Lane, Cambrige, CB2
More informationAssignment #3: Mathematical Induction
Math 3AH, Fall 011 Section 10045 Assignment #3: Mathematical Inuction Directions: This assignment is ue no later than Monay, November 8, 011, at the beginning of class. Late assignments will not be grae.
More informationarxiv: v4 [cs.ds] 7 Mar 2014
Analysis of Agglomerative Clustering Marcel R. Ackermann Johannes Blömer Daniel Kuntze Christian Sohler arxiv:101.697v [cs.ds] 7 Mar 01 Abstract The iameter k-clustering problem is the problem of partitioning
More informationIntroduction to the Vlasov-Poisson system
Introuction to the Vlasov-Poisson system Simone Calogero 1 The Vlasov equation Consier a particle with mass m > 0. Let x(t) R 3 enote the position of the particle at time t R an v(t) = ẋ(t) = x(t)/t its
More informationLecture 5. Symmetric Shearer s Lemma
Stanfor University Spring 208 Math 233: Non-constructive methos in combinatorics Instructor: Jan Vonrák Lecture ate: January 23, 208 Original scribe: Erik Bates Lecture 5 Symmetric Shearer s Lemma Here
More informationALGEBRAIC AND ANALYTIC PROPERTIES OF ARITHMETIC FUNCTIONS
ALGEBRAIC AND ANALYTIC PROPERTIES OF ARITHMETIC FUNCTIONS MARK SCHACHNER Abstract. When consiere as an algebraic space, the set of arithmetic functions equippe with the operations of pointwise aition an
More informationOn the Cauchy Problem for Von Neumann-Landau Wave Equation
Journal of Applie Mathematics an Physics 4 4-3 Publishe Online December 4 in SciRes http://wwwscirporg/journal/jamp http://xoiorg/436/jamp4343 On the Cauchy Problem for Von Neumann-anau Wave Equation Chuangye
More informationPerfect Matchings in Õ(n1.5 ) Time in Regular Bipartite Graphs
Perfect Matchings in Õ(n1.5 ) Time in Regular Bipartite Graphs Ashish Goel Michael Kapralov Sanjeev Khanna Abstract We consier the well-stuie problem of fining a perfect matching in -regular bipartite
More informationRamsey Theory and Reverse Mathematics
Ramsey Theory and Reverse Mathematics University of Notre Dame Department of Mathematics Peter.Cholak.1@nd.edu Supported by NSF Division of Mathematical Science May 24, 2011 The resulting paper Cholak,
More informationRamsey numbers of some bipartite graphs versus complete graphs
Ramsey numbers of some bipartite graphs versus complete graphs Tao Jiang, Michael Salerno Miami University, Oxfor, OH 45056, USA Abstract. The Ramsey number r(h, K n ) is the smallest positive integer
More informationNew directions in reverse mathematics
New directions in reverse mathematics Damir D. Dzhafarov University of California, Berkeley February 20, 2013 A foundational motivation. Reverse mathematics is motivated by a foundational question: Question.
More informationMath 342 Partial Differential Equations «Viktor Grigoryan
Math 342 Partial Differential Equations «Viktor Grigoryan 6 Wave equation: solution In this lecture we will solve the wave equation on the entire real line x R. This correspons to a string of infinite
More informationON THE STRENGTH OF RAMSEY S THEOREM FOR PAIRS
ON THE STRENGTH OF RAMSEY S THEOREM FOR PAIRS PETER A. CHOLAK, CARL G. JOCKUSCH, JR., AND THEODORE A. SLAMAN Abstract. We study the proof theoretic strength and effective content of the infinite form of
More informationAgmon Kolmogorov Inequalities on l 2 (Z d )
Journal of Mathematics Research; Vol. 6, No. ; 04 ISSN 96-9795 E-ISSN 96-9809 Publishe by Canaian Center of Science an Eucation Agmon Kolmogorov Inequalities on l (Z ) Arman Sahovic Mathematics Department,
More informationIMFM Institute of Mathematics, Physics and Mechanics Jadranska 19, 1000 Ljubljana, Slovenia. Preprint series Vol. 50 (2012), 1173 ISSN
IMFM Institute of Mathematics, Physics an Mechanics Jaransa 19, 1000 Ljubljana, Slovenia Preprint series Vol. 50 (2012), 1173 ISSN 2232-2094 PARITY INDEX OF BINARY WORDS AND POWERS OF PRIME WORDS Alesanar
More informationLectures - Week 10 Introduction to Ordinary Differential Equations (ODES) First Order Linear ODEs
Lectures - Week 10 Introuction to Orinary Differential Equations (ODES) First Orer Linear ODEs When stuying ODEs we are consiering functions of one inepenent variable, e.g., f(x), where x is the inepenent
More informationOn the Complexity of Inductive Definitions
Uner consieration for publication in Math. Struct. in Comp. Science On the Complexity of Inuctive Definitions D O U G L A S C E N Z E R 1 an J E F F R E Y B. R E M M E L 2 1 Department of Mathematics,
More informationNew directions in reverse mathematics
New directions in reverse mathematics Damir D. Dzhafarov University of Connecticut January 17, 2013 A foundational motivation. Reverse mathematics is motivated by a foundational question: Question. Which
More informationEquilibrium in Queues Under Unknown Service Times and Service Value
University of Pennsylvania ScholarlyCommons Finance Papers Wharton Faculty Research 1-2014 Equilibrium in Queues Uner Unknown Service Times an Service Value Laurens Debo Senthil K. Veeraraghavan University
More informationarxiv: v1 [math.mg] 10 Apr 2018
ON THE VOLUME BOUND IN THE DVORETZKY ROGERS LEMMA FERENC FODOR, MÁRTON NASZÓDI, AND TAMÁS ZARNÓCZ arxiv:1804.03444v1 [math.mg] 10 Apr 2018 Abstract. The classical Dvoretzky Rogers lemma provies a eterministic
More informationLecture 6: Calculus. In Song Kim. September 7, 2011
Lecture 6: Calculus In Song Kim September 7, 20 Introuction to Differential Calculus In our previous lecture we came up with several ways to analyze functions. We saw previously that the slope of a linear
More informationSeparation of Variables
Physics 342 Lecture 1 Separation of Variables Lecture 1 Physics 342 Quantum Mechanics I Monay, January 25th, 2010 There are three basic mathematical tools we nee, an then we can begin working on the physical
More informationReverse mathematics and marriage problems with unique solutions
Reverse mathematics and marriage problems with unique solutions Jeffry L. Hirst and Noah A. Hughes January 28, 2014 Abstract We analyze the logical strength of theorems on marriage problems with unique
More informationOn colour-blind distinguishing colour pallets in regular graphs
J Comb Optim (2014 28:348 357 DOI 10.1007/s10878-012-9556-x On colour-blin istinguishing colour pallets in regular graphs Jakub Przybyło Publishe online: 25 October 2012 The Author(s 2012. This article
More informationMake graph of g by adding c to the y-values. on the graph of f by c. multiplying the y-values. even-degree polynomial. graph goes up on both sides
Reference 1: Transformations of Graphs an En Behavior of Polynomial Graphs Transformations of graphs aitive constant constant on the outsie g(x) = + c Make graph of g by aing c to the y-values on the graph
More informationRobust Forward Algorithms via PAC-Bayes and Laplace Distributions. ω Q. Pr (y(ω x) < 0) = Pr A k
A Proof of Lemma 2 B Proof of Lemma 3 Proof: Since the support of LL istributions is R, two such istributions are equivalent absolutely continuous with respect to each other an the ivergence is well-efine
More informationFinal Exam Study Guide and Practice Problems Solutions
Final Exam Stuy Guie an Practice Problems Solutions Note: These problems are just some of the types of problems that might appear on the exam. However, to fully prepare for the exam, in aition to making
More informationQF101: Quantitative Finance September 5, Week 3: Derivatives. Facilitator: Christopher Ting AY 2017/2018. f ( x + ) f(x) f(x) = lim
QF101: Quantitative Finance September 5, 2017 Week 3: Derivatives Facilitator: Christopher Ting AY 2017/2018 I recoil with ismay an horror at this lamentable plague of functions which o not have erivatives.
More informationIterated Point-Line Configurations Grow Doubly-Exponentially
Iterate Point-Line Configurations Grow Doubly-Exponentially Joshua Cooper an Mark Walters July 9, 008 Abstract Begin with a set of four points in the real plane in general position. A to this collection
More informationSchrödinger s equation.
Physics 342 Lecture 5 Schröinger s Equation Lecture 5 Physics 342 Quantum Mechanics I Wenesay, February 3r, 2010 Toay we iscuss Schröinger s equation an show that it supports the basic interpretation of
More informationHilbert functions and Betti numbers of reverse lexicographic ideals in the exterior algebra
Turk J Math 36 (2012), 366 375. c TÜBİTAK oi:10.3906/mat-1102-21 Hilbert functions an Betti numbers of reverse lexicographic ieals in the exterior algebra Marilena Crupi, Carmela Ferró Abstract Let K be
More informationRamsey s theorem for pairs and program extraction
Ramsey s theorem for pairs and program extraction Alexander P. Kreuzer (partly joint work with Ulrich Kohlenbach) Technische Universität Darmstadt, Germany Bertinoro, May 2011 A. Kreuzer (TU Darmstadt)
More informationBrown s lemma in reverse mathematics
Brown s lemma in reverse mathematics Emanuele Frittaion Sendai Logic School 2016 Emanuele Frittaion (Tohoku University) 1 / 25 Brown s lemma asserts that piecewise syndetic sets are partition regular,
More informationarxiv: v1 [math.co] 15 Sep 2015
Circular coloring of signe graphs Yingli Kang, Eckhar Steffen arxiv:1509.04488v1 [math.co] 15 Sep 015 Abstract Let k, ( k) be two positive integers. We generalize the well stuie notions of (k, )-colorings
More informationPermanent vs. Determinant
Permanent vs. Determinant Frank Ban Introuction A major problem in theoretical computer science is the Permanent vs. Determinant problem. It asks: given an n by n matrix of ineterminates A = (a i,j ) an
More informationFaculteit Wetenschappen Vakgroep Wiskunde. Connecting the Provable with the Unprovable: Phase Transitions in Unprovability.
Faculteit Wetenschappen Vakgroep Wiskunde Connecting the Provable with the Unprovable: Phase Transitions in Unprovability Florian Pelupessy Promotor: Andreas Weiermann Proefschrift voorgelegd aan de Faculteit
More informationThe Canonical Ramsey Theorem and Computability Theory
The Canonical Ramsey Theorem and Computability Theory Joseph R. Mileti August 29, 2005 Abstract Using the tools of computability theory and reverse mathematics, we study the complexity of two partition
More informationJUST THE MATHS UNIT NUMBER DIFFERENTIATION 2 (Rates of change) A.J.Hobson
JUST THE MATHS UNIT NUMBER 10.2 DIFFERENTIATION 2 (Rates of change) by A.J.Hobson 10.2.1 Introuction 10.2.2 Average rates of change 10.2.3 Instantaneous rates of change 10.2.4 Derivatives 10.2.5 Exercises
More informationMARTIN HENK AND MAKOTO TAGAMI
LOWER BOUNDS ON THE COEFFICIENTS OF EHRHART POLYNOMIALS MARTIN HENK AND MAKOTO TAGAMI Abstract. We present lower bouns for the coefficients of Ehrhart polynomials of convex lattice polytopes in terms of
More informationCalculus of Variations
16.323 Lecture 5 Calculus of Variations Calculus of Variations Most books cover this material well, but Kirk Chapter 4 oes a particularly nice job. x(t) x* x*+ αδx (1) x*- αδx (1) αδx (1) αδx (1) t f t
More informationTime-of-Arrival Estimation in Non-Line-Of-Sight Environments
2 Conference on Information Sciences an Systems, The Johns Hopkins University, March 2, 2 Time-of-Arrival Estimation in Non-Line-Of-Sight Environments Sinan Gezici, Hisashi Kobayashi an H. Vincent Poor
More informationarxiv: v1 [math.dg] 1 Nov 2015
DARBOUX-WEINSTEIN THEOREM FOR LOCALLY CONFORMALLY SYMPLECTIC MANIFOLDS arxiv:1511.00227v1 [math.dg] 1 Nov 2015 ALEXANDRA OTIMAN AND MIRON STANCIU Abstract. A locally conformally symplectic (LCS) form is
More informationRobustness and Perturbations of Minimal Bases
Robustness an Perturbations of Minimal Bases Paul Van Dooren an Froilán M Dopico December 9, 2016 Abstract Polynomial minimal bases of rational vector subspaces are a classical concept that plays an important
More informationNOTES ON EULER-BOOLE SUMMATION (1) f (l 1) (n) f (l 1) (m) + ( 1)k 1 k! B k (y) f (k) (y) dy,
NOTES ON EULER-BOOLE SUMMATION JONATHAN M BORWEIN, NEIL J CALKIN, AND DANTE MANNA Abstract We stuy a connection between Euler-MacLaurin Summation an Boole Summation suggeste in an AMM note from 196, which
More informationJointly continuous distributions and the multivariate Normal
Jointly continuous istributions an the multivariate Normal Márton alázs an álint Tóth October 3, 04 This little write-up is part of important founations of probability that were left out of the unit Probability
More informationLinear and quadratic approximation
Linear an quaratic approximation November 11, 2013 Definition: Suppose f is a function that is ifferentiable on an interval I containing the point a. The linear approximation to f at a is the linear function
More informationII. First variation of functionals
II. First variation of functionals The erivative of a function being zero is a necessary conition for the etremum of that function in orinary calculus. Let us now tackle the question of the equivalent
More informationRelatively Prime Uniform Partitions
Gen. Math. Notes, Vol. 13, No., December, 01, pp.1-1 ISSN 19-7184; Copyright c ICSRS Publication, 01 www.i-csrs.org Available free online at http://www.geman.in Relatively Prime Uniform Partitions A. Davi
More informationChromatic number for a generalization of Cartesian product graphs
Chromatic number for a generalization of Cartesian prouct graphs Daniel Král Douglas B. West Abstract Let G be a class of graphs. The -fol gri over G, enote G, is the family of graphs obtaine from -imensional
More informationThe planar Chain Rule and the Differential Equation for the planar Logarithms
arxiv:math/0502377v1 [math.ra] 17 Feb 2005 The planar Chain Rule an the Differential Equation for the planar Logarithms L. Gerritzen (29.09.2004) Abstract A planar monomial is by efinition an isomorphism
More informationCharacterizing Real-Valued Multivariate Complex Polynomials and Their Symmetric Tensor Representations
Characterizing Real-Value Multivariate Complex Polynomials an Their Symmetric Tensor Representations Bo JIANG Zhening LI Shuzhong ZHANG December 31, 2014 Abstract In this paper we stuy multivariate polynomial
More informationSturm-Liouville Theory
LECTURE 5 Sturm-Liouville Theory In the three preceing lectures I emonstrate the utility of Fourier series in solving PDE/BVPs. As we ll now see, Fourier series are just the tip of the iceberg of the theory
More informationLower bounds on Locality Sensitive Hashing
Lower bouns on Locality Sensitive Hashing Rajeev Motwani Assaf Naor Rina Panigrahy Abstract Given a metric space (X, X ), c 1, r > 0, an p, q [0, 1], a istribution over mappings H : X N is calle a (r,
More informationAll s Well That Ends Well: Supplementary Proofs
All s Well That Ens Well: Guarantee Resolution of Simultaneous Rigi Boy Impact 1:1 All s Well That Ens Well: Supplementary Proofs This ocument complements the paper All s Well That Ens Well: Guarantee
More informationDiophantine Approximations: Examining the Farey Process and its Method on Producing Best Approximations
Diophantine Approximations: Examining the Farey Process an its Metho on Proucing Best Approximations Kelly Bowen Introuction When a person hears the phrase irrational number, one oes not think of anything
More informationExistence of equilibria in articulated bearings in presence of cavity
J. Math. Anal. Appl. 335 2007) 841 859 www.elsevier.com/locate/jmaa Existence of equilibria in articulate bearings in presence of cavity G. Buscaglia a, I. Ciuperca b, I. Hafii c,m.jai c, a Centro Atómico
More informationFall 2016: Calculus I Final
Answer the questions in the spaces provie on the question sheets. If you run out of room for an answer, continue on the back of the page. NO calculators or other electronic evices, books or notes are allowe
More informationA Super Introduction to Reverse Mathematics
A Super Introduction to Reverse Mathematics K. Gao December 12, 2015 Outline Background Second Order Arithmetic RCA 0 and Mathematics in RCA 0 Other Important Subsystems Reverse Mathematics and Other Branches
More informationPseudo-Free Families of Finite Computational Elementary Abelian p-groups
Pseuo-Free Families of Finite Computational Elementary Abelian p-groups Mikhail Anokhin Information Security Institute, Lomonosov University, Moscow, Russia anokhin@mccme.ru Abstract We initiate the stuy
More informationZachary Scherr Math 503 HW 5 Due Friday, Feb 26
Zachary Scherr Math 503 HW 5 Due Friay, Feb 26 1 Reaing 1. Rea Chapter 9 of Dummit an Foote 2 Problems 1. 9.1.13 Solution: We alreay know that if R is any commutative ring, then R[x]/(x r = R for any r
More informationNotes on Calculus. Dinakar Ramakrishnan Caltech Pasadena, CA Fall 2001
Notes on Calculus by Dinakar Ramakrishnan 53-37 Caltech Pasaena, CA 9115 Fall 001 1 Contents 0 Logical Backgroun 0.1 Sets... 0. Functions... 3 0.3 Carinality... 3 0.4 EquivalenceRelations... 4 1 Real an
More informationGeneralized Tractability for Multivariate Problems
Generalize Tractability for Multivariate Problems Part II: Linear Tensor Prouct Problems, Linear Information, an Unrestricte Tractability Michael Gnewuch Department of Computer Science, University of Kiel,
More informationPure Further Mathematics 1. Revision Notes
Pure Further Mathematics Revision Notes June 20 2 FP JUNE 20 SDB Further Pure Complex Numbers... 3 Definitions an arithmetical operations... 3 Complex conjugate... 3 Properties... 3 Complex number plane,
More informationTHE GENUINE OMEGA-REGULAR UNITARY DUAL OF THE METAPLECTIC GROUP
THE GENUINE OMEGA-REGULAR UNITARY DUAL OF THE METAPLECTIC GROUP ALESSANDRA PANTANO, ANNEGRET PAUL, AND SUSANA A. SALAMANCA-RIBA Abstract. We classify all genuine unitary representations of the metaplectic
More informationREAL ANALYSIS I HOMEWORK 5
REAL ANALYSIS I HOMEWORK 5 CİHAN BAHRAN The questions are from Stein an Shakarchi s text, Chapter 3. 1. Suppose ϕ is an integrable function on R with R ϕ(x)x = 1. Let K δ(x) = δ ϕ(x/δ), δ > 0. (a) Prove
More informationFLUCTUATIONS IN THE NUMBER OF POINTS ON SMOOTH PLANE CURVES OVER FINITE FIELDS. 1. Introduction
FLUCTUATIONS IN THE NUMBER OF POINTS ON SMOOTH PLANE CURVES OVER FINITE FIELDS ALINA BUCUR, CHANTAL DAVID, BROOKE FEIGON, MATILDE LALÍN 1 Introuction In this note, we stuy the fluctuations in the number
More informationELEC3114 Control Systems 1
ELEC34 Control Systems Linear Systems - Moelling - Some Issues Session 2, 2007 Introuction Linear systems may be represente in a number of ifferent ways. Figure shows the relationship between various representations.
More informationNotes on Lie Groups, Lie algebras, and the Exponentiation Map Mitchell Faulk
Notes on Lie Groups, Lie algebras, an the Exponentiation Map Mitchell Faulk 1. Preliminaries. In these notes, we concern ourselves with special objects calle matrix Lie groups an their corresponing Lie
More informationChapter 5. Factorization of Integers
Chapter 5 Factorization of Integers 51 Definition: For a, b Z we say that a ivies b (or that a is a factor of b, or that b is a multiple of a, an we write a b, when b = ak for some k Z 52 Theorem: (Basic
More informationNew bounds on Simonyi s conjecture
New bouns on Simonyi s conjecture Daniel Soltész soltesz@math.bme.hu Department of Computer Science an Information Theory, Buapest University of Technology an Economics arxiv:1510.07597v1 [math.co] 6 Oct
More information2Algebraic ONLINE PAGE PROOFS. foundations
Algebraic founations. Kick off with CAS. Algebraic skills.3 Pascal s triangle an binomial expansions.4 The binomial theorem.5 Sets of real numbers.6 Surs.7 Review . Kick off with CAS Playing lotto Using
More informationCOM S 330 Homework 05 Solutions. Type your answers to the following questions and submit a PDF file to Blackboard. One page per problem.
Type your answers to the following questions and submit a PDF file to Blackboard. One page per problem. Problem 1. [5pts] Consider our definitions of Z, Q, R, and C. Recall that A B means A is a subset
More informationEuler equations for multiple integrals
Euler equations for multiple integrals January 22, 2013 Contents 1 Reminer of multivariable calculus 2 1.1 Vector ifferentiation......................... 2 1.2 Matrix ifferentiation........................
More informationNearly finite Chacon Transformation
Nearly finite hacon Transformation Élise Janvresse, Emmanuel Roy, Thierry De La Rue To cite this version: Élise Janvresse, Emmanuel Roy, Thierry De La Rue Nearly finite hacon Transformation 2018
More information164 Final Solutions 1
164 Final Solutions 1 1. Question 1 True/False a) Let f : R R be a C 3 function such that fx) for all x R. Then the graient escent algorithm starte at the point will fin the global minimum of f. FALSE.
More informationA FURTHER REFINEMENT OF MORDELL S BOUND ON EXPONENTIAL SUMS
A FURTHER REFINEMENT OF MORDELL S BOUND ON EXPONENTIAL SUMS TODD COCHRANE, JEREMY COFFELT, AND CHRISTOPHER PINNER 1. Introuction For a prime p, integer Laurent polynomial (1.1) f(x) = a 1 x k 1 + + a r
More information