The planar Chain Rule and the Differential Equation for the planar Logarithms

Size: px
Start display at page:

Download "The planar Chain Rule and the Differential Equation for the planar Logarithms"

Transcription

1 arxiv:math/ v1 [math.ra] 17 Feb 2005 The planar Chain Rule an the Differential Equation for the planar Logarithms L. Gerritzen ( ) Abstract A planar monomial is by efinition an isomorphism class of a finite, planar, reuce roote tree. If x enotes the tree with a single vertex, any planar monomial is a non-associative prouct in x relative to m array grafting. A planar power series f(x) over a fiel K in x is an infinite sum of K multiples of planar monomials incluing the unit monomial represente by the empty tree. For every planar power series f(x) there is a universal ifferential f(x) which is a planar power series in x an a planar polynomial in a variable y which is the ifferential of x. We state a planar chain rule an apply it to prove that the erivative (Exp k(x)) is the k ary planar exponential series. A special case of the planar chain rule is prove an it erive that the planar universe series Log k (1+x) of Exp k (x) satisfies the ifferential equation ( (1+x) ) (Log k (1+x)) = 1 where (1+x) is the erivative which when applie to x results in 1+x. Introuction For every planar power series f(x) in one variable x, there is a universal ifferential f(x) which is a planar power series in x an a planar polynomial in a variable y which is the ifferential of x. If g(x) is a planar power series of orer 1, then the substitution of g(x) for x in f(x) gives a power series f(g(x)) an the ifferential f(g(x)) of f(g(x)) can be compute as ϕ g (f) where ϕ g is the substitution homomorphism inuce by g an ϕ g is the homomorphism on the algebra of universal ifferential forms in x an extening ϕ g 1

2 an mapping into g. This formula is calle the planar chain rule. We note an application to the planar exponential series Exp k (x),k N,k 2, see [G1], section 3. One obtains a functional equation for the ifferential ω k of Exp k (x), see section 6. It follows that the erivative (Exp k(x)) is equal to Exp k (x). This gives a conceptual proof of this ifferential relation, while the proof in [G1], section 3, is quite technical. We also prove a special chain rule, if g (x) where g (x) = g(x) is the erivative with respect to x. From it we fin that ( (1+x) ) (Log k (1+x)) = 1, if Log k (1+x) is the k ary planar logarithm, see [G 2], section 5. In section 1 notions about {x, y}- labele finite, planar, reuce roote trees are fixe. Some basic facts about the algebra K{{x,y} of power series in x an polynomials in y over a fiel K are presente in section 2. The universal ifferential : K{{x}} K{{x,y} is introuce in section 4 an the planar chain rule is prove in section 5. The application to the erivative of Exp k (x) relative to x is given in section 6. In section 7 we prove a special rule for the erivative, if the substitution series g(x) satisfies the equation g(x) = 1+g(x) an we show that ( (1+x) ) (Log k (1+x)) = 1. If h n is the homogeneous component of Log k (1+x) of egree n, then h n+1 (x) = ( n)h n(x) for n 1. In [G2], section 6, the homogeneous component h 4 of Log k (1+x) has been compute to be h 4 (x) = ( k 3 3![2] 1 ) (k +1)(k 2)(k 3) x 4 + 4![3]! ( ![2] 2 ) (k 2) (x x 3 +x 3 x) 4![3]! 2

3 ( + ( ![2]! 2 8 4![3]! 1 k 2 2(k+1)(k 2) 2 3![2]! 4![3]! ) (x (x x 2 )+x (x 2 x)+(x x 2 ) x+(x 2 x) x) ( 1 + 3![2]! (k +1) 8 4![3]! ) x 2 x 2 ) (x x x 2 +x x 2 x+x 2 x x). From this it follows that h 3 (x) = ( 1 3 )h 4 (x) = 1 k 4[2] (x x2 +x 2 x) 1 3! h 2 (x) = ( 1 2 )h 3(x) = 1 2 x2, h 1 (x) = h 2 (x) = x. 1 Labele planar roote trees k 2 [2] x 3, Let x,y be ifferent elements; they will be calle variables in the sequel. A {x,y}- labele finite, planar reuce roote tree is a pair S = (T,λ) where T is a finite, planar, reuce roote tree, see [G1], an λ is a map L(T) {x,y} where L(T) enotes the set of leaves of T. Then eg x (T,λ) := #λ 1 (x) is calle the x-egree of (T,λ) which is the number of leaves of T labele with x by λ. Also eg y (T,λ) := #λ 1 (y) is calle the y-egree of (T,λ) which is the number of leaves of T labele with y by λ. Then eg (T,λ) = eg T := #L(T) is calle the total egree of (T,λ). We enote by P(x,y) the set of isomorphism classes of {x,y} labele finite, planar, reuce roote trees. Given S 1,...,S m P(x,y),S i = (T i,λ i ) for 1 i m. Then there is a unique S P(x,y) with the following properties: S = (T,λ) an if ρ T is the root of T, then T ρ T is a planar roote forest whose i- th component is isomorphic with T i. The set of leaves of L(T) is the isjoint union of L(T 1 ),...,L(T n ) an the labeling λ inuces λ i on T i for all 1 i m. 3

4 Werecallthataplanarrooteforestisanorereisjoint systemofplanarroote trees. The construction escribe above gives a unique map m : (P(x,y)) m P(x,y) which is calle the m-ary grafting operation for labele planar roote trees. Let P (x,y) = P(x,y) {1 P } where 1 p is a symbol representing the empty tree. There is a unique extension of the m ary grafting operation to a map m : (P (x,y)) m P (x,y) satisfying the properties: m(1 P,...,1 P ) = 1 P 2(S,1 P ) = 2(1 P,S) = S for all S P (x,y), m (S 1,...,S m ) = m 1 (S 1,...,S i 1,S i+1,...,s m ) if S i = 1 P for all S i P (x,y). It is also refere to as the m-ary grafting operation. 2 Polynomials an Power series Let K be a fiel an V be the K- vectorspace of all K value functions f on P (x,y) such that for all n N the set {S P (x,y) : f(s) 0,or x (S) = n} is finite. For any f V the value f(s) at S P (x,y) will be enote by c S (f). It will be calle the coefficient of f relative to S. For any m N,m 2, we are going to efine a m ary operation m on V by putting f := m (f 1,...,f m ) if c S (f) := c S1 (f 1 )... c Sm (f m ) where the summation is extene over all S 1,...,S m such that S = m (S 1,...,S m ). It is easy to check that m is a K multilinear map V m V. We will write f 1 f 2... f m for m (f 1,...,f m ) sometimes. In this note a K algebra is by efinition a K vectorspace W together with a family ( m ) m 2 of K multilinear maps m : W m W. In the context of opera theory such an algebra can be efine as an algebra over an opera in the category of K linear spaces which is freely generate by {µ m : m 2} where µ m has egree m, see [MSS], Chap. (1.9). It is a tree opera, see [BV]. Trees are inspire by the attempt to obtain a general composite operation from a collection of inecomposable operations, see [BV]. Other authors, see[sv], use the term hyperalgebra to enote this type of algebras. For the general theory of operas an algebras over operas see also [L], [LR], [H], [F]. 4

5 Therefore (V,( m ) m 2) is a K algebra; it is enote by K{{x,y} an will be refere to as the algebra of planar power series in x an polynomials in y. For any S P (x,y) there is a unique f S K{{x,y} such that { 1 : T = S c T (f s ) = 0 : T P (x,y),t S. We ientify f S with S an thus consier P (x,y) as a subset of K{{x,y}. It is easy to check that P (x,y) is a K linearly inepenent subset of K{{x,y} an that the K vectorspace of K{{x,y} generate by P (x,y) is a subalgebra. It is enote by K{{x,y} an is calle the algebra of planar polynomials: in x an y over K. For f K{{x,y} efine or x (f) =,if f = 0 an if then f 0, or x (f) = min{n N : there is S P(x,y) with eg x (S) = n an c S (f) 0.} It is calle the x orer of f Let f x := { 0 : f = 0 ( 1 2 )or (f) : f 0. Then f 1 f 2... f m x = f 1 x f 2 x... f m x m as or(f 1 f 2... f m ) = or(f i ) an, x efines a istance function on K{{x,y} by f,g x := f g x which is calle the x aic istance. Proposition 2.1. Any Cauchysequence in K{{x, y} relative to the x aic istance is convergent. Proof. By stanar arguments. 3 Substitution homomorphisms Proposition 3.1. Let g,h K{{x,y} an let or x (g) 1. Then there is a unique K algebra homomorphism such that ϕ (g,h) = ϕ : K{{x,y} K{{x,y} 5

6 (i) ϕ(x) = g (ii) ϕ(y) = h (iii) ϕ is continuous with respect to the x-aic topology. It is calle substitution homomorphism inuce by ( g, h). Proof. 1) First we efine ϕ (S) for any S P(x,y). If S = (T,λ) where T is a planar roote tree of egree, there is a m ary operation T associate to T, see [G2], Proposition (2.7) Let ϕ (S) := T(Z 1,...,Z m ) where Z i = g if λ(l i ) = x an Z i = h if λ(l i ) = y. Here l i is the i-th leaf of T. 2 )There is a unique K-linear extension of the map ϕ in 1) to a linear map ϕ : K{{x,y} K{{x,y}. 3) If f K{{x,y},f n := c S (f) S where the sum is extene over all S P(x,y) for which eg x (S) = n, then f n is a finite sum an f = f n. n=0 From 1) it follows that or x (ϕ(f)) or x (f) for all f K{{x,y} as or x (g) 1. Thus or x (ϕ(f n )) n for all n. One efines ϕ(f) = ϕ(f n ). The infinite sum is converging, as the sequence of n=0 partial sums is a Cauchysequence with respect to x. Thus a continuous K- linear map ϕ : K{{x,y} K{{x,y} is well efine. One can check that ϕ is an algebra homomorphism because its restriction to K{{x,y} is an algebra homomorphism by the efinition in 1) an 2). Notation: For ϕ = ϕ ( g,h) an f K{{x,y}, we enote ϕ(f) also by f(g,h). Then f = f(x,y) as ϕ(x,y) = i. Also f(g,h) = f(g(x,y),h(x,y)). It is obtaine by replacing x by g an y by h. For any k K we get f(kx,ky) = k m f(x,y), if f is homogeneous of egree m. 4 Universal erivation WeenotebyK{{x}}thecloseunitalK-subalgebraofK{{x,y}generatebyx. 6

7 Proposition 4.1. There is a unique continuous K-linear map such that (i) (x) = y : K{{x}} K{{x,y} (ii) (f 1 f 2... f m ) = m = (f 1... f i 1 (f i ) f i+1... f m ) for all m 2an all f 1,...,f m K{{x,y} The map is calle the universal erivation on K{{x}}. It is customary to enote (f) by f an call it the ifferential of f. Especially y =. Proof. 1) First (S) is efine for all S P(x,y). If S = 1 P, then (1 P ) := 0. If S 1 P,S = (T,λ),λ(l i ) = x for all leaves l 1,...,l m of T,m = eg(t),l(t) = {l 1,...,l m },then m let (S) := (T,λ (i) ), where λ (i) (l j ) = y if j = i an λ (i) (l j ) = x if j i. 2) As P (x) is K-linearly inepenent, the map in 1) has a unique extension to a K linear map 0 : K{x} K{x,y}. 3) There is a unique continuous extension of 0 to a K linear map : K{{x}} K{{x,y}. It is easy to check that property (ii) hols. 5 Chain rule Let g K{{x}},or(g) 1. As a special case of Proposition (3.1) we get a continuous K algebra homomorphism ϕ g = ϕ : K{{x}} K{{x}} such that ϕ(x) = g. Also there is a unique continuous K algebra homomorphism y : K{{x,y} K{{x,y} such that ϕ(x) = ϕ(x) = g ϕ(y) = g 7

8 Proposition 5.1. (ϕ) = ϕ. Proof. 1) Let δ := (ϕ) ϕ. Then δ is a continuous K linear map from K{{x}} into K{{x, y}} which satisfies 2) It is easy to see that δ(x) = 0 δ(f 1... f m ) = m ϕ(f 1 )... ϕ(f i 1 ) δ(fi) ϕ(f i+1 )... ϕ(f m. UsingthisformulaonecanprovebyinuctionontheegreethatforanyS P(x) one gets δ(s) = 0. If S = S 1... S m, then eg x (S i ) < eg x (S) an by inuction hypothesis δ(s i ) = 0,( i?) By the formula above then δ(s) = 0 3) As δ is continuous an K{x} is ense in K{{x}} an δ(f) = 0 by 2) an the linearity of δ, we see that δ = 0. Example: Let Then an g = k x,k K. ϕ(f(x)) = f(kx) (ϕ)ω(x,y) = ω(kx,ky). If f (resp. ω) is homogeneous of egree m, then f(kx) = k m f(x),ω(kx,ky) = k m ω(x,y). 6 The erivative of the exponentials Let now char(k) = 0,k Nk 2, an f = Exp k (x) be the k ary exponential series, see [G1]. Let ω = f be the ifferential of f. Then ω(kx,ky) = f k by the chain rule. If f = f n an f n is the homogeneous part of egree n, then n= ω = f n n=1 8

9 an f n is the homogeneous component ω n of ω of egree n with f 0 = 0. More precisely: eg x (f n ) = n 1, eg y (f n ) = 1. Now by the functional equation satisfie by f, we get ( ) f k (x) = f(kx) = k n f n (x) = where the summation is over all i i k =n k n f n (x) n=0 (i 1,...,i k ) N k f i1 f i2... f ik with i i k = n. Proposition 6.1. k n ω n (x,y) = k fi 1... fi j 1 ω(fi j ) fi j+1... fi k. j=1 i i k =n Proof. Immeiate by property (ii) of Proposition 4.1. There is a unique continuous unital algebra homomorphism ψ : K{{x,y} K{{x}} such that ψ(x) = x,ψ(y) = 1. Recall that ψ(f) = f for all f K{{x}}. Then (f ) : K{{x}} K{{x}} is the erivative relative to x, also enote symbolically by, see [G1] Proposition 6.2. (Exp k(x)) = Exp k (x). Proof. 1) We have to show that the erivative f n = (f n) of the homogeneous component of f(x) = Exp k (x) is equal to f n 1 for n 1. By applying ψ to the formula in Proposition (6.1) we get k n f n (x) = k j=1 i i k =n f i1... f ij 1 f i j f ij f ik. 9

10 2) We will show that f n(x) = f n 1 (x) for n 1 by inuction on n. If n = 1, then it is obviously true as or x (f (1+x)) 2. Let now n 2. As f i j = 0 if i j = 0 an f i j = f ij 1 for n > 0 j 1, we obtain k n f n (x) = k j= yi k =n i j 1 Now for any 1 i k we get i i k =n 1 f i1..., f ij 1 f ij 1 f ij f ik i 1 t...ti k =n i j 1 f i1 f i2... f ik = k n 1 f n 1 (x) f i1... f ij 1 f ij 1 f ij fi k = by ( ) It follows that an k n f n (x) = k kn 1 f n 1 (x) f n (x) = f n 1(x). 7 Special chain rules an logarithm Let h K{{x}}. Then there is a unique algebra homomorphism ϕ (x,h) = ϕ : K{{x,y} K{{x}} such that ϕ(x) = x an ϕ(y) = h Then θ := ϕ o : K{{x}} K{{x}} is a erivation on K{{x}} which means that is K linear, continuous an satisfies the general prouct rule m θ(f 1... f m ) = f 1... f i 1 θ(f i ) f i+1... f m for all f 1,...,f m K{{x}} This erivation θ will be formally enote by h. Be aware that (h )(f) h (f) in general. We enote (f) also by f an call it the erivative of f with respect to x. Proposition 7.1. : Let g K{{x}} such that g = 1+g Then (f(g(x)) = f (g(x))+(x )(f)(g(x)) = ((1+x) (f)(g(x)) 10

11 Proof. :1) First we will prove the formula in case f is a tree T of egree n If n = 1, then T = xan x = 1 while (1+x) (T) = 1+x.Thus f(g(x)) = g(x) (g) = 1+g from which the formula follows. Let now n > 1. Then an n (T) = T (i) where T (i) = T (z 1,,z n ) with z j = { x: j i 1 P : j = i an Also with an x (T) = n T n (T(g(x)) = S i S (i) = T (W 1,...,W n ) w j = { g(x): j i g (x): j = i As g = 1+g, we obtain from the multilinearity of T, that S(i) = T (g,...,g)+ T (i)(g,...,g) From these computations it follows that the proposition hols, if f is a tree 2) From 1) one can exten the result to polynomials by multilinearity. As both sies of the formula are continuous in f the result follows for power series. Let Log k (1+x) be the k ary planar logarithm. see [G2], section 5. Proposition 7.2. : for all ((1+x) (Log k(1+x) = 1 k N, k > 2. 11

12 Proof. Let Then g = Exp k (x) 1 Log k (Exp k (x)) = x From the special chain rule above, we can conclue that (((1+x) )(Log k))exp k (x)) = 1 From this the formula follows as f(g(x)) = 1 only if f(x) = 1. Corollary 7.3. : Let h n be the homogeneous component of Log k (1+x) of egree n. Then h 0 = 0 an for Proof. : h n+1 = nh n n 1 Log k (1+x) = h n =: h n=0 an (1+x) (h n) = h n +nh n, as (s (h n) = n h n. Moreover h n is homogeneous of egree (n 1). Thus h n+1 +nh n = 0 for all because n 1 (1+x) (h) = 1. 12

13 Example 7.4. We give the homogeneous terms h n (x) of Log k (1+x) of egree n 4. Recall that [n] = kn n 1 1 k 1 = k i an that So especially [n]! = n [i]. [2] = k +1, [3] = k 2 +k +1,[3]! = (k +1)(k 2 +k +1) = k 3 +2k 2 +2k +1. For any planar roote tree T in P, let {T} be the sum of all planar trees S in P whose unerlying roote tree is isomorphic to the unerlying roote tree of T. One can show that Exp k (x) an Log k (x) are infinite sums over {T} with T P. Then the homogeneous components h n (x) for n 4 can be written as, see [G2]: h 1 (x) = x h 2 (x) = 1 2 x2 h 3 (x) = 1 k 4 [2] {x x2 } 1 3! k 2 [2] x 3 i=0 h 4 (x) = ( k 3 1 (k +1)(k 2)(k 3![2] 4![3]! 3)) {x4 }+ +( (k 2 3![2] 4![3]! 2)){x x3 } +( 1 3![2]! ![3]! ){x (x x2 )} +( 1 3![2]! (k+1) 4![3]! ) {x 2 x 2 } +( 1 k 2 2(k+1)(k 2) 2 3![2]! Easy computations give 4![3]! )+{x x x 2 } ({x x x2 }) = 3 {x x 2 }+6 {x x x} ({x2 x 2 }) = 2 {x x 2 } ({x (x x2 )}) = 6 {x x 2 } {x x3 } = 2{x 3 }+3 {x x 2 } 13

14 from which one can erive that h 4(x) = 3h 3 (x) Similarly one gets In [DG] Log 2 (x) was compute to be h 3(x) = 2h 2 (x) h 2 (x) = h 1(x) Log 2 (x) = x 1 2 x (1 2 x x x2 x) 1( x (x x2 ) + 4 x (x2 x) + 5 x2 x (x x2 ) x (x2 x) x)+ higher terms. It is obtaine by substituting 2 for k in Log k (x). Open question: In there a proceure to construct h n+1 (x) which is an integral of ( n) h n (x) irectly from h n (x)? The problem arises from the fact that the space of homogeneous polynoms of egree n+1 whose erivative is zero is non- trivial for n 2 References [BV] Boarman, J. M. - Vogt, R. M.: Homotopy invariant algebraic structures on topological spaces, Springer-Verlag 1973 [DG] Drensky, V.- Gerritzen, L.: Nonassociative exponential an logarithm, Journal of Algebra 272 (2004) [F] Fresse, B.: Koszul uality of operas an homology on partition posets, in Homotopy theory an its applications (Evanston, 2002), Contemp. Math. 346 (2004), [G1] Gerritzen, L,: Planar roote trees an non-associative exponential series, Avances in Applie Mathematics 33 (2004) [G2] Gerritzen, L,: Automorphisms of the planar tree power series algebra an the non-associative logartithm, Serica Math. J., 30, Nos. 2-3 (2004), [Hol] Holtkamp, R.: On Hopf algebra structures over operas, preprint, July 2004, ArXiv:math.RA/

15 [L] Loay, J. - L.: La renaissance es operaes, Seninaire Burbaki, Vol. 1994/95, Asterisque No. 237 (1996) Exp. No. 792, 3, [LR3] Loay, J.-L. - Ronco, M.: Algebr e Hopf colibres, c. R. Aca. Sci. Paris, 337. (2003), [MSS] Markl, M.- Shnier, S.- Stasheff, J.: Operas in Algebra, Topology an Physics, in: Math. Surveys Monogr., 2002, Chapter (1.5), p. 52 (see [G1]). [SU] Shestakov, F. P. - Umirbaev, U. U.: Free Akivis algebras, primitive elements an hyperalgebras, J. of Algebra 250 (2002),

7. Localization. (d 1, m 1 ) (d 2, m 2 ) d 3 D : d 3 d 1 m 2 = d 3 d 2 m 1. (ii) If (d 1, m 1 ) (d 1, m 1 ) and (d 2, m 2 ) (d 2, m 2 ) then

7. Localization. (d 1, m 1 ) (d 2, m 2 ) d 3 D : d 3 d 1 m 2 = d 3 d 2 m 1. (ii) If (d 1, m 1 ) (d 1, m 1 ) and (d 2, m 2 ) (d 2, m 2 ) then 7. Localization To prove Theorem 6.1 it becomes necessary to be able to a enominators to rings (an to moules), even when the rings have zero-ivisors. It is a tool use all the time in commutative algebra,

More information

CAUCHY INTEGRAL THEOREM

CAUCHY INTEGRAL THEOREM CAUCHY INTEGRAL THEOREM XI CHEN 1. Differential Forms, Integration an Stokes Theorem Let X be an open set in R n an C (X) be the set of complex value C functions on X. A ifferential 1-form is (1.1) ω =

More information

The derivative of a function f(x) is another function, defined in terms of a limiting expression: f(x + δx) f(x)

The derivative of a function f(x) is another function, defined in terms of a limiting expression: f(x + δx) f(x) Y. D. Chong (2016) MH2801: Complex Methos for the Sciences 1. Derivatives The erivative of a function f(x) is another function, efine in terms of a limiting expression: f (x) f (x) lim x δx 0 f(x + δx)

More information

CHAPTER 1 : DIFFERENTIABLE MANIFOLDS. 1.1 The definition of a differentiable manifold

CHAPTER 1 : DIFFERENTIABLE MANIFOLDS. 1.1 The definition of a differentiable manifold CHAPTER 1 : DIFFERENTIABLE MANIFOLDS 1.1 The efinition of a ifferentiable manifol Let M be a topological space. This means that we have a family Ω of open sets efine on M. These satisfy (1), M Ω (2) the

More information

Math Notes on differentials, the Chain Rule, gradients, directional derivative, and normal vectors

Math Notes on differentials, the Chain Rule, gradients, directional derivative, and normal vectors Math 18.02 Notes on ifferentials, the Chain Rule, graients, irectional erivative, an normal vectors Tangent plane an linear approximation We efine the partial erivatives of f( xy, ) as follows: f f( x+

More information

arxiv: v2 [math.cv] 2 Mar 2018

arxiv: v2 [math.cv] 2 Mar 2018 The quaternionic Gauss-Lucas Theorem Riccaro Ghiloni Alessanro Perotti Department of Mathematics, University of Trento Via Sommarive 14, I-38123 Povo Trento, Italy riccaro.ghiloni@unitn.it, alessanro.perotti@unitn.it

More information

Chapter 3 Definitions and Theorems

Chapter 3 Definitions and Theorems Chapter 3 Definitions an Theorems (from 3.1) Definition of Tangent Line with slope of m If f is efine on an open interval containing c an the limit Δy lim Δx 0 Δx = lim f (c + Δx) f (c) = m Δx 0 Δx exists,

More information

NOTES 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 (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 information

d dx [xn ] = nx n 1. (1) dy dx = 4x4 1 = 4x 3. Theorem 1.3 (Derivative of a constant function). If f(x) = k and k is a constant, then f (x) = 0.

d dx [xn ] = nx n 1. (1) dy dx = 4x4 1 = 4x 3. Theorem 1.3 (Derivative of a constant function). If f(x) = k and k is a constant, then f (x) = 0. Calculus refresher Disclaimer: I claim no original content on this ocument, which is mostly a summary-rewrite of what any stanar college calculus book offers. (Here I ve use Calculus by Dennis Zill.) I

More information

1. Aufgabenblatt zur Vorlesung Probability Theory

1. Aufgabenblatt zur Vorlesung Probability Theory 24.10.17 1. Aufgabenblatt zur Vorlesung By (Ω, A, P ) we always enote the unerlying probability space, unless state otherwise. 1. Let r > 0, an efine f(x) = 1 [0, [ (x) exp( r x), x R. a) Show that p f

More information

DIFFERENTIAL GEOMETRY, LECTURE 15, JULY 10

DIFFERENTIAL GEOMETRY, LECTURE 15, JULY 10 DIFFERENTIAL GEOMETRY, LECTURE 15, JULY 10 5. Levi-Civita connection From now on we are intereste in connections on the tangent bunle T X of a Riemanninam manifol (X, g). Out main result will be a construction

More information

MATH 101B: ALGEBRA II PART A: HOMOLOGICAL ALGEBRA

MATH 101B: ALGEBRA II PART A: HOMOLOGICAL ALGEBRA MATH 101B: ALGEBRA II PART A: HOMOLOGICAL ALGEBRA These are notes for our first unit on the algebraic side of homological algebra. While this is the last topic (Chap XX) in the book, it makes sense to

More information

Calculus of Variations

Calculus 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 information

Characterizing Real-Valued Multivariate Complex Polynomials and Their Symmetric Tensor Representations

Characterizing 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 information

Linear First-Order Equations

Linear First-Order Equations 5 Linear First-Orer Equations Linear first-orer ifferential equations make up another important class of ifferential equations that commonly arise in applications an are relatively easy to solve (in theory)

More information

Article On the Additively Weighted Harary Index of Some Composite Graphs

Article On the Additively Weighted Harary Index of Some Composite Graphs mathematics Article On the Aitively Weighte Harary Inex of Some Composite Graphs Behrooz Khosravi * an Elnaz Ramezani Department of Pure Mathematics, Faculty of Mathematics an Computer Science, Amirkabir

More information

Euler equations for multiple integrals

Euler 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 information

f(x) f(a) Limit definition of the at a point in slope notation.

f(x) f(a) Limit definition of the at a point in slope notation. Lesson 9: Orinary Derivatives Review Hanout Reference: Brigg s Calculus: Early Transcenentals, Secon Eition Topics: Chapter 3: Derivatives, p. 126-235 Definition. Limit Definition of Derivatives at a point

More information

JUST THE MATHS UNIT NUMBER DIFFERENTIATION 2 (Rates of change) A.J.Hobson

JUST 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 information

Math 115 Section 018 Course Note

Math 115 Section 018 Course Note Course Note 1 General Functions Definition 1.1. A function is a rule that takes certain numbers as inputs an assigns to each a efinite output number. The set of all input numbers is calle the omain of

More information

arxiv: v1 [math.dg] 1 Nov 2015

arxiv: 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 information

Lecture 4 : General Logarithms and Exponentials. a x = e x ln a, a > 0.

Lecture 4 : General Logarithms and Exponentials. a x = e x ln a, a > 0. For a > 0 an x any real number, we efine Lecture 4 : General Logarithms an Exponentials. a x = e x ln a, a > 0. The function a x is calle the exponential function with base a. Note that ln(a x ) = x ln

More information

Implicit Differentiation

Implicit Differentiation Implicit Differentiation Thus far, the functions we have been concerne with have been efine explicitly. A function is efine explicitly if the output is given irectly in terms of the input. For instance,

More information

Introduction to the Vlasov-Poisson system

Introduction 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 information

6 General properties of an autonomous system of two first order ODE

6 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 information

Lecture 5. Symmetric Shearer s Lemma

Lecture 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 information

February 21 Math 1190 sec. 63 Spring 2017

February 21 Math 1190 sec. 63 Spring 2017 February 21 Math 1190 sec. 63 Spring 2017 Chapter 2: Derivatives Let s recall the efinitions an erivative rules we have so far: Let s assume that y = f (x) is a function with c in it s omain. The erivative

More information

Homotopy colimits in model categories. Marc Stephan

Homotopy colimits in model categories. Marc Stephan Homotopy colimits in moel categories Marc Stephan July 13, 2009 1 Introuction In [1], Dwyer an Spalinski construct the so-calle homotopy pushout functor, motivate by the following observation. In the category

More information

Algebrability of the set of non-convergent Fourier series

Algebrability of the set of non-convergent Fourier series STUDIA MATHEMATICA 75 () (2006) Algebrability of the set of non-convergent Fourier series by Richar M. Aron (Kent, OH), Davi Pérez-García (Mari) an Juan B. Seoane-Sepúlvea (Kent, OH) Abstract. We show

More information

Section 7.2. The Calculus of Complex Functions

Section 7.2. The Calculus of Complex Functions Section 7.2 The Calculus of Complex Functions In this section we will iscuss limits, continuity, ifferentiation, Taylor series in the context of functions which take on complex values. Moreover, we will

More information

A 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 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 information

Applications of the Wronskian to ordinary linear differential equations

Applications of the Wronskian to ordinary linear differential equations Physics 116C Fall 2011 Applications of the Wronskian to orinary linear ifferential equations Consier a of n continuous functions y i (x) [i = 1,2,3,...,n], each of which is ifferentiable at least n times.

More information

2.4 Exponential Functions and Derivatives (Sct of text)

2.4 Exponential Functions and Derivatives (Sct of text) 2.4 Exponential Functions an Derivatives (Sct. 2.4 2.6 of text) 2.4. Exponential Functions Definition 2.4.. Let a>0 be a real number ifferent tan. Anexponential function as te form f(x) =a x. Teorem 2.4.2

More information

Math Chapter 2 Essentials of Calculus by James Stewart Prepared by Jason Gaddis

Math Chapter 2 Essentials of Calculus by James Stewart Prepared by Jason Gaddis Math 231 - Chapter 2 Essentials of Calculus by James Stewart Prepare by Jason Gais Chapter 2 - Derivatives 21 - Derivatives an Rates of Change Definition A tangent to a curve is a line that intersects

More information

Define each term or concept.

Define each term or concept. Chapter Differentiation Course Number Section.1 The Derivative an the Tangent Line Problem Objective: In this lesson you learne how to fin the erivative of a function using the limit efinition an unerstan

More information

MATH 1300 Lecture Notes Wednesday, September 25, 2013

MATH 1300 Lecture Notes Wednesday, September 25, 2013 MATH 300 Lecture Notes Wenesay, September 25, 203. Section 3. of HH - Powers an Polynomials In this section 3., you are given several ifferentiation rules that, taken altogether, allow you to quickly an

More information

Differentiability, Computing Derivatives, Trig Review. Goals:

Differentiability, Computing Derivatives, Trig Review. Goals: Secants vs. Derivatives - Unit #3 : Goals: Differentiability, Computing Derivatives, Trig Review Determine when a function is ifferentiable at a point Relate the erivative graph to the the graph of an

More information

A Sketch of Menshikov s Theorem

A 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 information

1 Math 285 Homework Problem List for S2016

1 Math 285 Homework Problem List for S2016 1 Math 85 Homework Problem List for S016 Note: solutions to Lawler Problems will appear after all of the Lecture Note Solutions. 1.1 Homework 1. Due Friay, April 8, 016 Look at from lecture note exercises:

More information

INVERSION OF INTEGRAL SERIES ENUMERATING PLANAR TREES

INVERSION OF INTEGRAL SERIES ENUMERATING PLANAR TREES Séminaire Lotharingien de Combinatoire 53 (2005), Article B53d INVERSION OF INTEGRAL SERIES ENUMERATING PLANAR TREES JEAN-LOUIS LODAY Abstract. We consider an integral series f(x, t) which depends on the

More information

Periods of quadratic twists of elliptic curves

Periods of quadratic twists of elliptic curves Perios of quaratic twists of elliptic curves Vivek Pal with an appenix by Amo Agashe Abstract In this paper we prove a relation between the perio of an elliptic curve an the perio of its real an imaginary

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

LEGENDRE TYPE FORMULA FOR PRIMES GENERATED BY QUADRATIC POLYNOMIALS

LEGENDRE TYPE FORMULA FOR PRIMES GENERATED BY QUADRATIC POLYNOMIALS Ann. Sci. Math. Québec 33 (2009), no 2, 115 123 LEGENDRE TYPE FORMULA FOR PRIMES GENERATED BY QUADRATIC POLYNOMIALS TAKASHI AGOH Deicate to Paulo Ribenboim on the occasion of his 80th birthay. RÉSUMÉ.

More information

0.1 The Chain Rule. db dt = db

0.1 The Chain Rule. db dt = db 0. The Chain Rule A basic illustration of the chain rules comes in thinking about runners in a race. Suppose two brothers, Mark an Brian, hol an annual race to see who is the fastest. Last year Mark won

More information

Pure Further Mathematics 1. Revision Notes

Pure 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 information

Differentiability, Computing Derivatives, Trig Review

Differentiability, Computing Derivatives, Trig Review Unit #3 : Differentiability, Computing Derivatives, Trig Review Goals: Determine when a function is ifferentiable at a point Relate the erivative graph to the the graph of an original function Compute

More information

Witt#5: Around the integrality criterion 9.93 [version 1.1 (21 April 2013), not completed, not proofread]

Witt#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 information

arxiv: v1 [math.co] 15 Sep 2015

arxiv: 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 information

Ramsey numbers of some bipartite graphs versus complete graphs

Ramsey 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 information

Discrete Mathematics

Discrete 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 information

SYMPLECTIC GEOMETRY: LECTURE 3

SYMPLECTIC GEOMETRY: LECTURE 3 SYMPLECTIC GEOMETRY: LECTURE 3 LIAT KESSLER 1. Local forms Vector fiels an the Lie erivative. A vector fiel on a manifol M is a smooth assignment of a vector tangent to M at each point. We think of M as

More information

Further Differentiation and Applications

Further Differentiation and Applications Avance Higher Notes (Unit ) Prerequisites: Inverse function property; prouct, quotient an chain rules; inflexion points. Maths Applications: Concavity; ifferentiability. Real-Worl Applications: Particle

More information

MARKO NEDELJKOV, DANIJELA RAJTER-ĆIRIĆ

MARKO NEDELJKOV, DANIJELA RAJTER-ĆIRIĆ GENERALIZED UNIFORMLY CONTINUOUS SEMIGROUPS AND SEMILINEAR HYPERBOLIC SYSTEMS WITH REGULARIZED DERIVATIVES MARKO NEDELJKOV, DANIJELA RAJTER-ĆIRIĆ Abstract. We aopt the theory of uniformly continuous operator

More information

016A Homework 10 Solution

016A Homework 10 Solution 016A Homework 10 Solution Jae-young Park November 2, 2008 4.1 #14 Write each expression in the form of 2 kx or 3 kx, for a suitable constant k; (3 x 3 x/5 ) 5, (16 1/4 16 3/4 ) 3x Solution (3 x 3 x/5 )

More information

LIAISON OF MONOMIAL IDEALS

LIAISON OF MONOMIAL IDEALS LIAISON OF MONOMIAL IDEALS CRAIG HUNEKE AND BERND ULRICH Abstract. We give a simple algorithm to ecie whether a monomial ieal of nite colength in a polynomial ring is licci, i.e., in the linkage class

More information

On the number of isolated eigenvalues of a pair of particles in a quantum wire

On the number of isolated eigenvalues of a pair of particles in a quantum wire On the number of isolate eigenvalues of a pair of particles in a quantum wire arxiv:1812.11804v1 [math-ph] 31 Dec 2018 Joachim Kerner 1 Department of Mathematics an Computer Science FernUniversität in

More information

arxiv:math/ v2 [math.ra] 14 Dec 2005

arxiv:math/ v2 [math.ra] 14 Dec 2005 arxiv:math/0512273v2 [math.ra] 14 Dec 2005 AUTOMORPHISMS OF THE SEMIGROUP OF ENDOMORPHISMS OF FREE ASSOCIATIVE ALGEBRAS A. KANEL-BELOV, A. BERZINS AND R. LIPYANSKI Abstract. Let A = A(x 1,...,x n) be a

More information

Final Exam Study Guide and Practice Problems Solutions

Final 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 information

Notes on Lie Groups, Lie algebras, and the Exponentiation Map Mitchell Faulk

Notes 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 information

arxiv: v1 [math-ph] 5 May 2014

arxiv: v1 [math-ph] 5 May 2014 DIFFERENTIAL-ALGEBRAIC SOLUTIONS OF THE HEAT EQUATION VICTOR M. BUCHSTABER, ELENA YU. NETAY arxiv:1405.0926v1 [math-ph] 5 May 2014 Abstract. In this work we introuce the notion of ifferential-algebraic

More information

ELEC3114 Control Systems 1

ELEC3114 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 information

Section 7.1: Integration by Parts

Section 7.1: Integration by Parts Section 7.1: Integration by Parts 1. Introuction to Integration Techniques Unlike ifferentiation where there are a large number of rules which allow you (in principle) to ifferentiate any function, the

More information

A Note on Modular Partitions and Necklaces

A Note on Modular Partitions and Necklaces A Note on Moular Partitions an Neclaces N. J. A. Sloane, Rutgers University an The OEIS Founation Inc. South Aelaie Avenue, Highlan Par, NJ 08904, USA. Email: njasloane@gmail.com May 6, 204 Abstract Following

More information

First Order Linear Differential Equations

First Order Linear Differential Equations LECTURE 6 First Orer Linear Differential Equations A linear first orer orinary ifferential equation is a ifferential equation of the form ( a(xy + b(xy = c(x. Here y represents the unknown function, y

More information

Algebra IV. Contents. Alexei Skorobogatov. December 12, 2017

Algebra IV. Contents. Alexei Skorobogatov. December 12, 2017 Algebra IV Alexei Skorobogatov December 12, 2017 Abstract This course is an introuction to homological algebra an group cohomology. Contents 1 Moules over a ring 2 1.1 Definitions an examples.........................

More information

Zachary Scherr Math 503 HW 5 Due Friday, Feb 26

Zachary 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 information

Lecture 3 Notes. Dan Sheldon. September 17, 2012

Lecture 3 Notes. Dan Sheldon. September 17, 2012 Lecture 3 Notes Dan Shelon September 17, 2012 0 Errata Section 4, Equation (2): yn 2 shoul be x2 N. Fixe 9/17/12 Section 5.3, Example 3: shoul rea w 0 = 0, w 1 = 1. Fixe 9/17/12. 1 Review: Linear Regression

More information

REAL ANALYSIS I HOMEWORK 5

REAL 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 information

Perfect Matchings in Õ(n1.5 ) Time in Regular Bipartite Graphs

Perfect 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 information

The Exact Form and General Integrating Factors

The Exact Form and General Integrating Factors 7 The Exact Form an General Integrating Factors In the previous chapters, we ve seen how separable an linear ifferential equations can be solve using methos for converting them to forms that can be easily

More information

Lie symmetry and Mei conservation law of continuum system

Lie symmetry and Mei conservation law of continuum system Chin. Phys. B Vol. 20, No. 2 20 020 Lie symmetry an Mei conservation law of continuum system Shi Shen-Yang an Fu Jing-Li Department of Physics, Zhejiang Sci-Tech University, Hangzhou 3008, China Receive

More information

Darboux s theorem and symplectic geometry

Darboux s theorem and symplectic geometry Darboux s theorem an symplectic geometry Liang, Feng May 9, 2014 Abstract Symplectic geometry is a very important branch of ifferential geometry, it is a special case of poisson geometry, an coul also

More information

Differentiation Rules Derivatives of Polynomials and Exponential Functions

Differentiation Rules Derivatives of Polynomials and Exponential Functions Derivatives of Polynomials an Exponential Functions Differentiation Rules Derivatives of Polynomials an Exponential Functions Let s start with the simplest of all functions, the constant function f(x)

More information

Chapter 1. Functions, Graphs, and Limits

Chapter 1. Functions, Graphs, and Limits Review for Final Exam Lecturer: Sangwook Kim Office : Science & Tech I, 226D math.gmu.eu/ skim22 Chapter 1. Functions, Graphs, an Limits A function is a rule that assigns to each objects in a set A exactly

More information

Interconnected Systems of Fliess Operators

Interconnected Systems of Fliess Operators Interconnecte Systems of Fliess Operators W. Steven Gray Yaqin Li Department of Electrical an Computer Engineering Ol Dominion University Norfolk, Virginia 23529 USA Abstract Given two analytic nonlinear

More information

An extension of Alexandrov s theorem on second derivatives of convex functions

An extension of Alexandrov s theorem on second derivatives of convex functions Avances in Mathematics 228 (211 2258 2267 www.elsevier.com/locate/aim An extension of Alexanrov s theorem on secon erivatives of convex functions Joseph H.G. Fu 1 Department of Mathematics, University

More information

Least-Squares Regression on Sparse Spaces

Least-Squares Regression on Sparse Spaces Least-Squares Regression on Sparse Spaces Yuri Grinberg, Mahi Milani Far, Joelle Pineau School of Computer Science McGill University Montreal, Canaa {ygrinb,mmilan1,jpineau}@cs.mcgill.ca 1 Introuction

More information

Lecture notes on Witt vectors

Lecture notes on Witt vectors Lecture notes on Witt vectors Lars Hesselholt The purpose of these notes is to give a self-containe introuction to Witt vectors. We cover both the classical p-typical Witt vectors of Teichmüller an Witt

More information

D-MATH Algebraic Geometry FS 2018 Prof. Emmanuel Kowalski. Solutions Sheet 1. Classical Varieties

D-MATH Algebraic Geometry FS 2018 Prof. Emmanuel Kowalski. Solutions Sheet 1. Classical Varieties D-MATH Algebraic Geometry FS 2018 Prof. Emmanuel Kowalski Solutions Sheet 1 Classical Varieties Let K be an algebraically closed field. All algebraic sets below are defined over K, unless specified otherwise.

More information

1 Definition of the derivative

1 Definition of the derivative Math 20A - Calculus by Jon Rogawski Chapter 3 - Differentiation Prepare by Jason Gais Definition of the erivative Remark.. Recall our iscussion of tangent lines from way back. We now rephrase this in terms

More information

Regular tree languages definable in FO and in FO mod

Regular 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 information

Three-Variable Bracket Polynomial for Two-Bridge Knots

Three-Variable Bracket Polynomial for Two-Bridge Knots Three-Variable Bracket Polynomial for Two-Brige Knots Matthew Overuin Research Experience for Unergrauates California State University, San Bernarino San Bernarino, CA 92407 August 23, 2013 Abstract In

More information

Operads. Spencer Liang. March 10, 2015

Operads. Spencer Liang. March 10, 2015 Operads Spencer Liang March 10, 2015 1 Introduction The notion of an operad was created in order to have a well-defined mathematical object which encodes the idea of an abstract family of composable n-ary

More information

Lecture XII. where Φ is called the potential function. Let us introduce spherical coordinates defined through the relations

Lecture XII. where Φ is called the potential function. Let us introduce spherical coordinates defined through the relations Lecture XII Abstract We introuce the Laplace equation in spherical coorinates an apply the metho of separation of variables to solve it. This will generate three linear orinary secon orer ifferential equations:

More information

Similar Operators and a Functional Calculus for the First-Order Linear Differential Operator

Similar Operators and a Functional Calculus for the First-Order Linear Differential Operator Avances in Applie Mathematics, 9 47 999 Article ID aama.998.067, available online at http: www.iealibrary.com on Similar Operators an a Functional Calculus for the First-Orer Linear Differential Operator

More information

INTERSECTION HOMOLOGY OF LINKAGE SPACES IN ODD DIMENSIONAL EUCLIDEAN SPACE

INTERSECTION HOMOLOGY OF LINKAGE SPACES IN ODD DIMENSIONAL EUCLIDEAN SPACE INTERSECTION HOMOLOGY OF LINKAGE SPACES IN ODD DIMENSIONAL EUCLIDEAN SPACE DIRK SCHÜTZ Abstract. We consier the mouli spaces M (l) of a close linkage with n links an prescribe lengths l R n in -imensional

More information

ALGEBRAIC GROUPS. Disclaimer: There are millions of errors in these notes!

ALGEBRAIC GROUPS. Disclaimer: There are millions of errors in these notes! ALGEBRAIC GROUPS Disclaimer: There are millions of errors in these notes! 1. Some algebraic geometry The subject of algebraic groups depends on the interaction between algebraic geometry and group theory.

More information

Sturm-Liouville Theory

Sturm-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 information

Iterated Point-Line Configurations Grow Doubly-Exponentially

Iterated 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 information

Permanent vs. Determinant

Permanent 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 information

Diophantine Approximations: Examining the Farey Process and its Method on Producing Best Approximations

Diophantine 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 information

Lagrange à la Lah. Tom Copeland Tsukuba, Japan April 11, 2011

Lagrange à la Lah. Tom Copeland Tsukuba, Japan April 11, 2011 Lagrange à la Lah Lagrange Lanscapes Part II: Umbral Operator Trees for Partition Polynomials Tom Copelan Tsukuba, Japan tcjpn@msn.com April 11, 2011 Abstract Partition polynomials associate through umbral

More information

Some constructions and applications of Rota-Baxter algebras I

Some constructions and applications of Rota-Baxter algebras I Some constructions and applications of Rota-Baxter algebras I Li Guo Rutgers University at Newark joint work with Kurusch Ebrahimi-Fard and William Keigher 1. Basics of Rota-Baxter algebras Definition

More information

Quantum Algorithms: Problem Set 1

Quantum Algorithms: Problem Set 1 Quantum Algorithms: Problem Set 1 1. The Bell basis is + = 1 p ( 00i + 11i) = 1 p ( 00i 11i) + = 1 p ( 01i + 10i) = 1 p ( 01i 10i). This is an orthonormal basis for the state space of two qubits. It is

More information

Math 121 Homework 3 Solutions

Math 121 Homework 3 Solutions Math 121 Homework 3 Solutions Problem 13.4 #6. Let K 1 and K 2 be finite extensions of F in the field K, and assume that both are splitting fields over F. (a) Prove that their composite K 1 K 2 is a splitting

More information

The total derivative. Chapter Lagrangian and Eulerian approaches

The total derivative. Chapter Lagrangian and Eulerian approaches Chapter 5 The total erivative 51 Lagrangian an Eulerian approaches The representation of a flui through scalar or vector fiels means that each physical quantity uner consieration is escribe as a function

More information

19 Eigenvalues, Eigenvectors, Ordinary Differential Equations, and Control

19 Eigenvalues, Eigenvectors, Ordinary Differential Equations, and Control 19 Eigenvalues, Eigenvectors, Orinary Differential Equations, an Control This section introuces eigenvalues an eigenvectors of a matrix, an iscusses the role of the eigenvalues in etermining the behavior

More information

Assignment 1. g i (x 1,..., x n ) dx i = 0. i=1

Assignment 1. g i (x 1,..., x n ) dx i = 0. i=1 Assignment 1 Golstein 1.4 The equations of motion for the rolling isk are special cases of general linear ifferential equations of constraint of the form g i (x 1,..., x n x i = 0. i=1 A constraint conition

More information

Lecture 2 Lagrangian formulation of classical mechanics Mechanics

Lecture 2 Lagrangian formulation of classical mechanics Mechanics Lecture Lagrangian formulation of classical mechanics 70.00 Mechanics Principle of stationary action MATH-GA To specify a motion uniquely in classical mechanics, it suffices to give, at some time t 0,

More information