The Greedy Basis Equals the Theta Basis A Rank Two Haiku

Size: px
Start display at page:

Download "The Greedy Basis Equals the Theta Basis A Rank Two Haiku"

Transcription

1 The Greedy Basis Equals the Theta Basis A Rank Two Haiku Man Wai Cheung (UCSD), Mark Gross (Cambridge), Greg Muller (Michigan), Gregg Musiker (University of Minnesota) *, Dylan Rupel (Notre Dame), Salvatore Stella (Roma La Sapienza), and Harold Williams (University of Texas) AMS Central Spring Sectional, Combinatoial Ideals and Applications April 17, musiker/haiku.pdf CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, / 7

2 Outline 1 Introduction to Cluster Algebras Greedy Bases 3 Theta Bases in Rank 4 Sketch of their Equivalence Thank you for support from NSF Grant DMS , the University of Cambridge, Northeastern Univeristy, and North Carolina State University, and the 014 AMS Mathematics Research Community on Cluster Algebras in Snowbird, UT. musiker/haiku.pdf CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, 016 / 7

3 Introduction to Cluster Algebras In the late 1990 s: Fomin and Zelevinsky were studying total positivity and canonical bases of algebraic groups. They noticed recurring combinatorial and algebraic structures. CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, / 7

4 Introduction to Cluster Algebras In the late 1990 s: Fomin and Zelevinsky were studying total positivity and canonical bases of algebraic groups. They noticed recurring combinatorial and algebraic structures. Let them to define cluster algebras, which have now been linked to quiver representations, Poisson geometry Teichmüller theory, tilting theory, mathematical physics, discrete integrable systems, string theory, and many other topics. CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, / 7

5 Introduction to Cluster Algebras In the late 1990 s: Fomin and Zelevinsky were studying total positivity and canonical bases of algebraic groups. They noticed recurring combinatorial and algebraic structures. Let them to define cluster algebras, which have now been linked to quiver representations, Poisson geometry Teichmüller theory, tilting theory, mathematical physics, discrete integrable systems, string theory, and many other topics. Cluster algebras are a certain class of commutative rings which have a distinguished set of generators that are grouped into overlapping subsets, called clusters, each having the same cardinality. CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, / 7

6 What is a Cluster Algebra? Definition (Sergey Fomin and Andrei Zelevinsky 001) A cluster algebra A (of geometric type) is a subalgebra of k(x 1,..., x n, x n+1,..., x n+m ) constructed cluster by cluster by certain exchange relations. CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, / 7

7 What is a Cluster Algebra? Definition (Sergey Fomin and Andrei Zelevinsky 001) A cluster algebra A (of geometric type) is a subalgebra of k(x 1,..., x n, x n+1,..., x n+m ) constructed cluster by cluster by certain exchange relations. Generators: Specify an initial finite set of them, a Cluster, {x 1, x,..., x n+m }. CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, / 7

8 What is a Cluster Algebra? Definition (Sergey Fomin and Andrei Zelevinsky 001) A cluster algebra A (of geometric type) is a subalgebra of k(x 1,..., x n, x n+1,..., x n+m ) constructed cluster by cluster by certain exchange relations. Generators: Specify an initial finite set of them, a Cluster, {x 1, x,..., x n+m }. Construct the rest via Binomial Exchange Relations: x α x α = x d+ i γ i + x d i γ i. CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, / 7

9 What is a Cluster Algebra? Definition (Sergey Fomin and Andrei Zelevinsky 001) A cluster algebra A (of geometric type) is a subalgebra of k(x 1,..., x n, x n+1,..., x n+m ) constructed cluster by cluster by certain exchange relations. Generators: Specify an initial finite set of them, a Cluster, {x 1, x,..., x n+m }. Construct the rest via Binomial Exchange Relations: x α x α = x d+ i γ i + x d i γ i. The set of all such generators are known as Cluster Variables, and the initial pattern of exchange relations (described as a valued quiver, i.e. a directed graph, or as a skew-symmetrizable matrix) determines the Seed. Relations: Induced by the Binomial Exchange Relations. CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, / 7

10 Cluster Algebras, Ideally Point of view of Cluster Algebras III (Berenstein-Fomin-Zelevinsky): A is generated by x 1, x,..., x n, x 1, x,..., x n where the standard monomials in this alphabet (i.e. x i and x i forbidden from being in the same monomial) are a Z-basis for A. The polynomials x i x i x d+ j γ j generate the ideal I of relations. x d j γ j Form a Gröbner basis for I assuming a term order where the x i s are higher degree than the x i s. CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, / 7

11 Example: Rank Cluster Algebras [ ] 0 b Let B =, b, c Z c 0 >0. ({x 1, x }, B) is a seed for a cluster algebra A(b, c) of rank. CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, / 7

12 Example: Rank Cluster Algebras [ ] 0 b Let B =, b, c Z c 0 >0. ({x 1, x }, B) is a seed for a cluster algebra A(b, c) of rank. (E.g. when b = c, B = B(Q) where Q is a quiver with two vertices and b arrows from v 1 v.) µ 1 (B) = µ (B) = B and x 1 x 1 = x c + 1, x x = 1 + x b 1. Thus the cluster variables in this case are { xn 1 b + 1 if n is odd {x n : n Z} satisfying x n x n = xn 1 c + 1 if n is even. CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, / 7

13 Example: Rank Cluster Algebras [ ] 0 b Let B =, b, c Z c 0 >0. ({x 1, x }, B) is a seed for a cluster algebra A(b, c) of rank. (E.g. when b = c, B = B(Q) where Q is a quiver with two vertices and b arrows from v 1 v.) µ 1 (B) = µ (B) = B and x 1 x 1 = x c + 1, x x = 1 + x b 1. Thus the cluster variables in this case are { xn 1 b + 1 if n is odd {x n : n Z} satisfying x n x n = xn 1 c + 1 if n is even. Example (b = c = 1): x 3 = x + 1 x 1. CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, / 7

14 Example: Rank Cluster Algebras [ ] 0 b Let B =, b, c Z c 0 >0. ({x 1, x }, B) is a seed for a cluster algebra A(b, c) of rank. (E.g. when b = c, B = B(Q) where Q is a quiver with two vertices and b arrows from v 1 v.) µ 1 (B) = µ (B) = B and x 1 x 1 = x c + 1, x x = 1 + x b 1. Thus the cluster variables in this case are { xn 1 b + 1 if n is odd {x n : n Z} satisfying x n x n = xn 1 c + 1 if n is even. Example (b = c = 1): x 3 = x + 1 x 1. x 4 = x x = CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, / 7

15 Example: Rank Cluster Algebras [ ] 0 b Let B =, b, c Z c 0 >0. ({x 1, x }, B) is a seed for a cluster algebra A(b, c) of rank. (E.g. when b = c, B = B(Q) where Q is a quiver with two vertices and b arrows from v 1 v.) µ 1 (B) = µ (B) = B and x 1 x 1 = x c + 1, x x = 1 + x b 1. Thus the cluster variables in this case are { xn 1 b + 1 if n is odd {x n : n Z} satisfying x n x n = xn 1 c + 1 if n is even. Example (b = c = 1): x 3 = x + 1 x 1. x 4 = x x = x +1 x x = CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, / 7

16 Example: Rank Cluster Algebras [ ] 0 b Let B =, b, c Z c 0 >0. ({x 1, x }, B) is a seed for a cluster algebra A(b, c) of rank. (E.g. when b = c, B = B(Q) where Q is a quiver with two vertices and b arrows from v 1 v.) µ 1 (B) = µ (B) = B and x 1 x 1 = x c + 1, x x = 1 + x b 1. Thus the cluster variables in this case are { xn 1 b + 1 if n is odd {x n : n Z} satisfying x n x n = xn 1 c + 1 if n is even. Example (b = c = 1): x 3 = x + 1 x 1. x 4 = x x = x +1 x x = x 1 + x + 1 x 1 x. CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, / 7

17 Example: Rank Cluster Algebras [ ] 0 b Let B =, b, c Z c 0 >0. ({x 1, x }, B) is a seed for a cluster algebra A(b, c) of rank. (E.g. when b = c, B = B(Q) where Q is a quiver with two vertices and b arrows from v 1 v.) µ 1 (B) = µ (B) = B and x 1 x 1 = x c + 1, x x = 1 + x b 1. Thus the cluster variables in this case are { xn 1 b + 1 if n is odd {x n : n Z} satisfying x n x n = xn 1 c + 1 if n is even. Example (b = c = 1): x 5 = x x 3 = x 3 = x + 1 x 1. x 4 = x x = x +1 x x = x 1 + x + 1 x 1 x. CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, / 7

18 Example: Rank Cluster Algebras [ ] 0 b Let B =, b, c Z c 0 >0. ({x 1, x }, B) is a seed for a cluster algebra A(b, c) of rank. (E.g. when b = c, B = B(Q) where Q is a quiver with two vertices and b arrows from v 1 v.) µ 1 (B) = µ (B) = B and x 1 x 1 = x c + 1, x x = 1 + x b 1. Thus the cluster variables in this case are { xn 1 b + 1 if n is odd {x n : n Z} satisfying x n x n = xn 1 c + 1 if n is even. Example (b = c = 1): x 5 = x x 3 = x 3 = x + 1 x 1. x 4 = x x = x 1 +x +1 x 1 x + 1 (x + 1)/x 1 = x +1 x x = x 1 + x + 1 x 1 x. CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, / 7

19 Example: Rank Cluster Algebras [ ] 0 b Let B =, b, c Z c 0 >0. ({x 1, x }, B) is a seed for a cluster algebra A(b, c) of rank. (E.g. when b = c, B = B(Q) where Q is a quiver with two vertices and b arrows from v 1 v.) µ 1 (B) = µ (B) = B and x 1 x 1 = x c + 1, x x = 1 + x b 1. Thus the cluster variables in this case are { xn 1 b + 1 if n is odd {x n : n Z} satisfying x n x n = xn 1 c + 1 if n is even. Example (b = c = 1): (Finite Type, of Type A ) x 5 = x x 3 = x 3 = x + 1 x 1. x 4 = x x = x +1 x x = x 1 + x + 1 x 1 x. x 1 +x +1 x 1 x + 1 = x 1(x 1 + x x 1 x ) = (x + 1)/x 1 x 1 x (x + 1) CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, / 7

20 Example: Rank Cluster Algebras [ ] 0 b Let B =, b, c Z c 0 >0. ({x 1, x }, B) is a seed for a cluster algebra A(b, c) of rank. (E.g. when b = c, B = B(Q) where Q is a quiver with two vertices and b arrows from v 1 v.) µ 1 (B) = µ (B) = B and x 1 x 1 = x c + 1, x x = 1 + x b 1. Thus the cluster variables in this case are { xn 1 b + 1 if n is odd {x n : n Z} satisfying x n x n = xn 1 c + 1 if n is even. Example (b = c = 1): (Finite Type, of Type A ) x 5 = x x 3 = x 3 = x + 1 x 1. x 4 = x x = x +1 x x = x 1 + x + 1 x 1 x. x 1 +x +1 x 1 x + 1 = x 1(x 1 + x x 1 x ) = x (x + 1)/x 1 x 1 x (x + 1) x CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, / 7

21 Example: Rank Cluster Algebras [ ] 0 b Let B =, b, c Z c 0 >0. ({x 1, x }, B) is a seed for a cluster algebra A(b, c) of rank. (E.g. when b = c, B = B(Q) where Q is a quiver with two vertices and b arrows from v 1 v.) µ 1 (B) = µ (B) = B and x 1 x 1 = x c + 1, x x = 1 + x b 1. Thus the cluster variables in this case are { xn 1 b + 1 if n is odd {x n : n Z} satisfying x n x n = xn 1 c + 1 if n is even. Example (b = c = 1): x 5 = x x 3 = x 3 = x + 1 x 1. x 4 = x x = x +1 x x = x 1 + x + 1 x 1 x. x 1 +x +1 x 1 x + 1 = x 1(x 1 + x x 1 x ) = x x 6 = x 1. (x + 1)/x 1 x 1 x (x + 1) x CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, / 7

22 Example: Rank Cluster Algebras Example (b = c = ): (Affine Type, of Type Ã1) x 3 = x + 1 x 1. CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, / 7

23 Example: Rank Cluster Algebras Example (b = c = ): (Affine Type, of Type Ã1) x 3 = x + 1. x 4 = x = x 4 + x x 1 x 1 x x1 x. CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, / 7

24 Example: Rank Cluster Algebras Example (b = c = ): (Affine Type, of Type Ã1) x 3 = x + 1. x 4 = x = x 4 + x x 1 x 1 x x1 x. x 5 = x = x 6 + 3x 4 + 3x x x 1 + x 1 x x 3 x1 3x,... CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, / 7

25 Example: Rank Cluster Algebras Example (b = c = ): (Affine Type, of Type Ã1) x 3 = x + 1. x 4 = x = x 4 + x x 1 x 1 x x1 x. x 5 = x = x 6 + 3x 4 + 3x x x 1 + x 1 x x 3 x1 3x,... If we let x 1 = x = 1, we obtain {x 3, x 4, x 5, x 6 } = {, 5, 13, 34}. CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, / 7

26 Example: Rank Cluster Algebras Example (b = c = ): (Affine Type, of Type Ã1) x 3 = x + 1. x 4 = x = x 4 + x x 1 x 1 x x1 x. x 5 = x = x 6 + 3x 4 + 3x x x 1 + x 1 x x 3 x1 3x,... If we let x 1 = x = 1, we obtain {x 3, x 4, x 5, x 6 } = {, 5, 13, 34}. The next number in the sequence is x 7 = = CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, / 7

27 Example: Rank Cluster Algebras Example (b = c = ): (Affine Type, of Type Ã1) x 3 = x + 1. x 4 = x = x 4 + x x 1 x 1 x x1 x. x 5 = x = x 6 + 3x 4 + 3x x x 1 + x 1 x x 3 x1 3x,... If we let x 1 = x = 1, we obtain {x 3, x 4, x 5, x 6 } = {, 5, 13, 34}. The next number in the sequence is x 7 = = = CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, / 7

28 Example: Rank Cluster Algebras Example (b = c = ): (Affine Type, of Type Ã1) x 3 = x + 1. x 4 = x = x 4 + x x 1 x 1 x x1 x. x 5 = x = x 6 + 3x 4 + 3x x x 1 + x 1 x x 3 x1 3x,... If we let x 1 = x = 1, we obtain {x 3, x 4, x 5, x 6 } = {, 5, 13, 34}. The next number in the sequence is x 7 = = = 89, an integer! CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, / 7

29 Laurent Phenomenon and Positivity Theorem (Fomin-Zelevinsky 00) For any cluster algebra, all cluster variables, i.e. the x n s are Laurent polynomials (i.e. denominator is a monomial) in the initial cluster {x 1, x }. CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, / 7

30 Laurent Phenomenon and Positivity Theorem (Fomin-Zelevinsky 00) For any cluster algebra, all cluster variables, i.e. the x n s are Laurent polynomials (i.e. denominator is a monomial) in the initial cluster {x 1, x }. Theorem (Lee-Schiffler 013) The Laurent exapnsions of cluster variables involve exclusively positive integer coefficients. CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, / 7

31 Laurent Phenomenon and Positivity Theorem (Fomin-Zelevinsky 00) For any cluster algebra, all cluster variables, i.e. the x n s are Laurent polynomials (i.e. denominator is a monomial) in the initial cluster {x 1, x }. Theorem (Lee-Schiffler 013) The Laurent exapnsions of cluster variables involve exclusively positive integer coefficients. Example (b=c=3): x n x n = x r n If we let x 1 = x = 1 and r = 3, then {x n } n 1 = 1, 1,, 9, 365, , , ,... CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, / 7

32 Laurent Phenomenon and Positivity Theorem (Fomin-Zelevinsky 00) For any cluster algebra, all cluster variables, i.e. the x n s are Laurent polynomials (i.e. denominator is a monomial) in the initial cluster {x 1, x }. Theorem (Lee-Schiffler 013) The Laurent exapnsions of cluster variables involve exclusively positive integer coefficients. Example (b=c=3): x n x n = x r n If we let x 1 = x = 1 and r = 3, then {x n } n 1 = 1, 1,, 9, 365, , , ,... Lee-Schiffler provided a combinatorial interpretaion for x n s for any r 3 in terms of colored subpaths of Dyck paths. Lee-Li-Zelevinsky obtained more general combinatorial interpretation (for any A(b, c) and more than cluster variables) in terms of compatible pairs. CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, / 7

33 Finite versus Infinite Type Let A(b, c) be the subalgebra of Q(x 1, x ) generated by {x n : n Z} with x n s as above. Remark: A(1, 1), A(1, ), and A(1, 3) are of finite type, i.e. {x n } is a finite set. However, for bc 4, we get all x n s are distinct. CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, / 7

34 Finite versus Infinite Type Let A(b, c) be the subalgebra of Q(x 1, x ) generated by {x n : n Z} with x n s as above. Remark: A(1, 1), A(1, ), and A(1, 3) are of finite type, i.e. {x n } is a finite set. However, for bc 4, we get all x n s are distinct. Example: For A(1, 1), the cluster variables are x 1, x, x 3 = x + 1 x 1, x 4 = x + x x 1 x, x 5 = x x Example: For A(1, ), the cluster variables are x 1, x, x 3 = x + 1 x 1, x 4 = x + x 1 + 1, x 5 = x 1 + x 1 + x + 1 x 1 x x 1 x, x 6 = x x CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, / 7

35 Motivated by Positivity Goal: Construct a vector-space basis for A(b, c), i.e. {β i : i I} s.t. (a) β i β j = k c kβ k with c k 0. (i.e. positive structure constants) CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, / 7

36 Motivated by Positivity Goal: Construct a vector-space basis for A(b, c), i.e. {β i : i I} s.t. (a) β i β j = k c kβ k with c k 0. (i.e. positive structure constants) (b) Cluster monomials appear as basis elements. (i.e. β = xk dx k+1 e for k Z and d, e 0) CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, / 7

37 Motivated by Positivity Goal: Construct a vector-space basis for A(b, c), i.e. {β i : i I} s.t. (a) β i β j = k c kβ k with c k 0. (i.e. positive structure constants) (b) Cluster monomials appear as basis elements. (i.e. β = xk dx k+1 e for k Z and d, e 0) (c) Each β i is an indecomposable positive element. (The Positive Cone: Let A + A(b, c) be the subset of elements that can be written as a positive Laurent polynomial in every cluster {x k, x k+1 }. We want β i A + \ {0} cannot be written as a sum of two nonzero elements of A +.) CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, / 7

38 Example: A(, ), i.e. Affine Type, of Type Ã1 x 3 = x + 1, x 4 = x4 + x x 1 x 1 x1 x, x 5 = x6 + 3x4 + 3x x4 1 + x 1 + x 1 x x1 3,... x If we let x 1 = x = 1, then {x 3, x 4, x 5, x 6, x 7,... } = {, 5, 13, 34, 89,... }. Let z = x 1 +x +1 x 1 x = x 0 x 3 x 1 x, which is not a sum of cluster monomials. CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, / 7

39 Example: A(, ), i.e. Affine Type, of Type Ã1 x 3 = x + 1, x 4 = x4 + x x 1 x 1 x1 x, x 5 = x6 + 3x4 + 3x x4 1 + x 1 + x 1 x x1 3,... x If we let x 1 = x = 1, then {x 3, x 4, x 5, x 6, x 7,... } = {, 5, 13, 34, 89,... }. Let z = x 1 +x +1 x 1 x = x 0 x 3 x 1 x, which is not a sum of cluster monomials. Claim: z = x k +x k+1 +1 x k x k+1 for all k Z. Thus z A +. CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, / 7

40 Example: A(, ), i.e. Affine Type, of Type Ã1 x 3 = x + 1, x 4 = x4 + x x 1 x 1 x1 x, x 5 = x6 + 3x4 + 3x x4 1 + x 1 + x 1 x x1 3,... x If we let x 1 = x = 1, then {x 3, x 4, x 5, x 6, x 7,... } = {, 5, 13, 34, 89,... }. Let z = x 1 +x +1 x 1 x = x 0 x 3 x 1 x, which is not a sum of cluster monomials. Claim: z = x k +x k+1 +1 x k x k+1 for all k Z. Thus z A +. We define a basis for A(, ) consisting of (for k Z and d k, e k+1 0) {x d k k x e k+1 k+1 } {zk : k 1} where z 1 := z, z := z, and z k := z z k 1 z k for k 3 satsifying the desired properties. CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, / 7

41 Reminder of Desired Properties Goal: Construct a vector-space basis for A(b, c), i.e. {β i : i I} s.t. (a) β i β j = k c kβ k with c k 0. (i.e. positive structure constants) (b) Cluster monomials appear as basis elements. (i.e. β = xk dx k+1 e for k Z and d, e 0) (c) Each β i is an indecomposable positive element. (The Positive Cone: Let A + A(b, c) be the subset of elements that can be written as a positive Laurent polynomial in every cluster {x k, x k+1 }. We want β i A + \ {0} cannot be written as a sum of two nonzero elements of A +.) CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, / 7

42 Greedy Basis Defined Definition Laurent series x is said to be pointed at (a 1, a ) Z if x = 1 x a 1 1 x a p,q 0 c(p, q)x bp 1 x cq with c(p, q) Z and normalized so that c(0, 0) = 1. CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, / 7

43 Greedy Basis Defined Definition Laurent series x is said to be pointed at (a 1, a ) Z if x = 1 x a 1 1 x a p,q 0 c(p, q)x bp 1 x cq with c(p, q) Z and normalized so that c(0, 0) = 1. Definition Laurent series x is said to be greedy at (a 1, a ) Z if it is pointed at (a 1, a ), and for all (p, q) Z 0 \ {(0, 0}, p ( ) c(p, q) = max ( 1) k 1 a cq + k 1 q ( ) c(p k, q), ( 1) k 1 a1 bp + k 1 c(p, q k). k k k=1 k=1 This yields a unique element we denote as x[a 1, a ]. CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, / 7

44 Pointed and Greedy Elements and their Terms Illustrated C C B O D1 O B A B O B A O (1) a 1, a 0 () a 1 0 < a (3) a 0 < a 1 (4) 0 < ba a 1 C O C O C D O B A B A B A (5) 0 < ca 1 a (6) 0 < a 1 < ba, 0 < a < ca 1, (a1, a) : non-imaginary root (6) 0 < a 1 < ba, 0 < a < ca 1, (a1, a) : imaginary root CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, / 7

45 Theorem (Lee-Li-Zelevinsky (01)) (1) The greedy element x[a 1, a ] is contained in cluster algebra A(b, c). CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, / 7

46 Theorem (Lee-Li-Zelevinsky (01)) (1) The greedy element x[a 1, a ] is contained in cluster algebra A(b, c). () The recurrence for c(p, q) terminates and we in fact get a finite sum, i.e. a Laurent polynomial rather than a Laurent series. CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, / 7

47 Theorem (Lee-Li-Zelevinsky (01)) (1) The greedy element x[a 1, a ] is contained in cluster algebra A(b, c). () The recurrence for c(p, q) terminates and we in fact get a finite sum, i.e. a Laurent polynomial rather than a Laurent series. (3) All of the c(p, q) s are nonnegative integers. CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, / 7

48 Theorem (Lee-Li-Zelevinsky (01)) (1) The greedy element x[a 1, a ] is contained in cluster algebra A(b, c). () The recurrence for c(p, q) terminates and we in fact get a finite sum, i.e. a Laurent polynomial rather than a Laurent series. (3) All of the c(p, q) s are nonnegative integers. (4) All x[a 1, a ] are indecomposable positive elements of A + A(b, c). CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, / 7

49 Theorem (Lee-Li-Zelevinsky (01)) (1) The greedy element x[a 1, a ] is contained in cluster algebra A(b, c). () The recurrence for c(p, q) terminates and we in fact get a finite sum, i.e. a Laurent polynomial rather than a Laurent series. (3) All of the c(p, q) s are nonnegative integers. (4) All x[a 1, a ] are indecomposable positive elements of A + A(b, c). (5) Collection {x[a 1, a ] : (a 1, a ) Z } is a vector-space basis for A(b, c). CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, / 7

50 Theorem (Lee-Li-Zelevinsky (01)) (1) The greedy element x[a 1, a ] is contained in cluster algebra A(b, c). () The recurrence for c(p, q) terminates and we in fact get a finite sum, i.e. a Laurent polynomial rather than a Laurent series. (3) All of the c(p, q) s are nonnegative integers. (4) All x[a 1, a ] are indecomposable positive elements of A + A(b, c). (5) Collection {x[a 1, a ] : (a 1, a ) Z } is a vector-space basis for A(b, c). (6) Further, this basis has positive integer structure constants. CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, / 7

51 Theorem (Lee-Li-Zelevinsky (01)) (1) The greedy element x[a 1, a ] is contained in cluster algebra A(b, c). () The recurrence for c(p, q) terminates and we in fact get a finite sum, i.e. a Laurent polynomial rather than a Laurent series. (3) All of the c(p, q) s are nonnegative integers. (4) All x[a 1, a ] are indecomposable positive elements of A + A(b, c). (5) Collection {x[a 1, a ] : (a 1, a ) Z } is a vector-space basis for A(b, c). (6) Further, this basis has positive integer structure constants. (7) The greedy basis contains all the cluster monomials. In particular, x[ d, e] = x1 dx e if d, e 0 and other cluster monomials correspond to lattice points outside the third quadrant. CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, / 7

52 Theorem (Lee-Li-Zelevinsky (01)) (1) The greedy element x[a 1, a ] is contained in cluster algebra A(b, c). () The recurrence for c(p, q) terminates and we in fact get a finite sum, i.e. a Laurent polynomial rather than a Laurent series. (3) All of the c(p, q) s are nonnegative integers. (4) All x[a 1, a ] are indecomposable positive elements of A + A(b, c). (5) Collection {x[a 1, a ] : (a 1, a ) Z } is a vector-space basis for A(b, c). (6) Further, this basis has positive integer structure constants. (7) The greedy basis contains all the cluster monomials. In particular, x[ d, e] = x1 dx e if d, e 0 and other cluster monomials correspond to lattice points outside the third quadrant. (8) For a 1, a 0, there are combiantorial formulas for x[a 1, a ] as x[a 1, a ] = 1 x a 1 1 x a (S 1,S ) compatible pairs in D a 1 a x b S 1 x c S 1. In particular, x[a 1, a ] can be written as a Laurent polynomial with positive integer coefficients in any cluster. CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, / 7

53 Example: A(, ), i.e. Affine Type, of Type Ã1 Revisited x 3 = x + 1, x 4 = x4 + x x 1 x 1 x1 x, x 5 = x6 + 3x4 + 3x x4 1 + x 1 + x 1 x x1 3,... x Let z = x 1 +x +1 x 1 x = x 0 x 3 x 1 x, which is not a sum of cluster monomials. CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, / 7

54 Example: A(, ), i.e. Affine Type, of Type Ã1 Revisited x 3 = x + 1, x 4 = x4 + x x 1 x 1 x1 x, x 5 = x6 + 3x4 + 3x x4 1 + x 1 + x 1 x x1 3,... x Let z = x 1 +x +1 x 1 x = x 0 x 3 x 1 x, which is not a sum of cluster monomials. We define a basis for A(, ) consisting of (for k Z and d k, e k+1 0) {x d k k x e k+1 k+1 } {zk : k 1} where z 1 := z, z := z, and z k := z z k 1 z k for k 3 z k = x[k, k] and all other lattice points correspond to cluster monomials. CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, / 7

55 And Now For Something Completely Different Based on mirror symmetry, tropical geometry, holomorphic discs, symplectic geometry, etc., Gross-Hacking-Keel-Kontsevich defined scattering diagrams, broken lines, and theta functions. CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, / 7

56 And Now For Something Completely Different Based on mirror symmetry, tropical geometry, holomorphic discs, symplectic geometry, etc., Gross-Hacking-Keel-Kontsevich defined scattering diagrams, broken lines, and theta functions. We focus on the rank two version of their theory: Given the cluster algebra A(b, c), we build a scattering diagram D(b, c). Here, D(1, 1), D(1, ), and D(, ) are shown: CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, / 7

57 And Now For Something Completely Different Based on mirror symmetry, tropical geometry, holomorphic discs, symplectic geometry, etc., Gross-Hacking-Keel-Kontsevich defined scattering diagrams, broken lines, and theta functions. We focus on the rank two version of their theory: Given the cluster algebra A(b, c), we build a scattering diagram D(b, c). Here, D(1, 1), D(1, ), and D(, ) are shown: 1 + x 1 + x 1 + x 1 + x x1 1 + x1 1 + x 1 1 x 1 + x 1 x 1 + x 1 x 1 + x1 4 x 1 + x1 6 x 4 ( ) 1 + x1 x x1 4 x 6 ( ) = 1 (1 x 1 x )4. CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, / 7

58 And Now For Something Completely Different A Scattering Diagram D(b, c) when bc 5: The Badlands! A cone where every wall of rational slope appears. CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, / 7

59 Broken Lines Definition Given a choice of A(b, c), a constructed scattering diagram D(b, c), a point q any wall, and an exponent m = (m 1, m ), we construct ϑ q, m as follows: 1) Start with a line of initial slope m /m 1. Any parallel translate will do. We don t assume this fraction is written in reduced form and instead consider for example the vector m to have larger momentum than m. CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, / 7

60 Broken Lines Definition Given a choice of A(b, c), a constructed scattering diagram D(b, c), a point q any wall, and an exponent m = (m 1, m ), we construct ϑ q, m as follows: 1) Start with a line of initial slope m /m 1. Any parallel translate will do. We don t assume this fraction is written in reduced form and instead consider for example the vector m to have larger momentum than m. ) When the line hits a wall of the scattering diagram, it can either pass through it or bend/refract a certain amount. There are discrete choices for how much it bends depending on its momentum and angle of intersection. CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, / 7

61 Broken Lines Definition Given a choice of A(b, c), a constructed scattering diagram D(b, c), a point q any wall, and an exponent m = (m 1, m ), we construct ϑ q, m as follows: 1) Start with a line of initial slope m /m 1. Any parallel translate will do. We don t assume this fraction is written in reduced form and instead consider for example the vector m to have larger momentum than m. ) When the line hits a wall of the scattering diagram, it can either pass through it or bend/refract a certain amount. There are discrete choices for how much it bends depending on its momentum and angle of intersection. More precisely, if d = (d 1, d ) is a primitive normal vector to the wall in question, then let U = m d = m 1 d 1 + m d. Then the line can bend by adding 0, d, d,..., or U d to m. CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, / 7

62 Broken Lines and Theta Functions 3) After choosing a sequence of such bends at each intersected wall, we consider the broken lines γ that end at the point q. 4) For each broken line γ, we obtain a Laurent monomial x(γ) = x e 1 1 x e where e = (e 1, e ) is the final momentum/exponent of the broken line as it reaches q. ϑ q, m = all broken lines γ starting with exponent m and ending at the point q x(γ) CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, / 7

63 Example for A(, ) 1 + x 1 + x 1 x 1 1 x 1 x 1 1 x 1 x 1 1 x q x 1 x 1 γ 1 x 1 x 1 γ 3 x 1 x x 1 x 4 γ 1 + x 4 1 x CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, / 7

64 Example for A(, ) 1 + x 1 + x 1 x 1 1 x 1 x 1 1 x 1 x 1 1 x q x 1 x 1 γ 1 x 1 x 1 γ 3 x 1 x x 1 x 4 γ 1 + x 4 1 x ϑ = x q, (1, 1) 1x 1 + x1 1 x 1 + x1 1 x = x 1 +x +1 x 1 x = z A(, ) CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, / 7

65 Theorem (Cheung-Gross-Muller-M-Rupel-Stella-Williams) The greedy basis element x[a 1, a ] A(b, c) equals the theta function (basis element) ϑ q, T ( a 1, a ) when i) q is in the first quadrant generically ii) drawing broken lines using the scattering diagram D(b, c) iii) T is a piece-wise linear transformation that simply pushes the d-vector fan into the g-vector fan by pushing rays clockwise. 1 + x 1 + x 1 + x1 1 + x x 1 x 1 + x 1 x x 1 x 1 + x 1 x CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, 016 / 7

66 Sketch of Proof Suppose a broken line γ passes through the point (q 1, q ) with exponent/momentum m = (m 1, m ) as it does. Define the angular momentum at this point to be q m 1 q 1 m. CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, / 7

67 Sketch of Proof Suppose a broken line γ passes through the point (q 1, q ) with exponent/momentum m = (m 1, m ) as it does. Define the angular momentum at this point to be q m 1 q 1 m. Claim: (1) Even as broken line γ bends at a wall, its angular momentum is constant. () For any broken line γ which has positive angular momentum, any bends in the third quadrant will lead to a decrease in slope. The opposite statement holds when γ has negative angulary momentum. CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, / 7

68 Sketch of Proof Suppose a broken line γ passes through the point (q 1, q ) with exponent/momentum m = (m 1, m ) as it does. Define the angular momentum at this point to be q m 1 q 1 m. Claim: (1) Even as broken line γ bends at a wall, its angular momentum is constant. () For any broken line γ which has positive angular momentum, any bends in the third quadrant will lead to a decrease in slope. The opposite statement holds when γ has negative angulary momentum. Consequently, we get on bounds on what the exponent of the Laurent monomial x(γ) = x e 1 1 x e can be. CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, / 7

69 Sketch of Proof Allows us to build a Newton polygon (more precisely a half-open quadrilateral) of the support of ϑ q, T ( a 1, a ). C C B O D1 O B A B O B A O (1) a 1, a 0 () a 1 0 < a (3) a 0 < a 1 (4) 0 < ba a 1 C O C O C D O B A B A B A (5) 0 < ca 1 a (6) 0 < a 1 < ba, 0 < a < ca 1, (a1, a) : non-imaginary root (6) 0 < a 1 < ba, 0 < a < ca 1, (a1, a) : imaginary root CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, / 7

70 Sketch of Proof O = (0, 0), A = ( a 1 + ba, a ), B = ( a 1, a ), C = ( a 1, a + ca 1 ), D 1 = ( a 1 + ba, ca 1 (bc + 1)a ), D = (ba (bc + 1)a 1, a + ca 1 ). Then the support region of ϑ q, T ( a 1, a ) is C C B O D1 O B A B O B A O (1) a 1, a 0 () a 1 0 < a (3) a 0 < a 1 (4) 0 < ba a 1 C O C O C D O B A B A B A (5) 0 < ca 1 a (6) 0 < a 1 < ba, 0 < a < ca 1, (a1, a) : non-imaginary root (6) 0 < a 1 < ba, 0 < a < ca 1, (a1, a) : imaginary root CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, / 7

71 Sketch of Proof Scholium (based on Lee-Li-Zelevinsky s proof) Any Laurent polynomial with a support contained in one of these half-open quadrilaterals and with coefficient 1 on x a 1 1 x a must be the greedy basis element x[a 1, a ]. C C B O D1 O B A B O B A O (1) a 1, a 0 () a 1 0 < a (3) a 0 < a 1 (4) 0 < ba a 1 C O C O C D O B A B A B A (5) 0 < ca 1 a (6) 0 < a 1 < ba, 0 < a < ca 1, (a1, a) : non-imaginary root (6) 0 < a 1 < ba, 0 < a < ca 1, (a1, a) : imaginary root CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, / 7

72 Thank You for Listening Open Question 1: Find a combiantorial bijection between broken lines and compatible subsets. Open Question : Reverse-engineer greedy bases in higher rank cluster algebras using theta functions. Slides at musiker/haiku.pdf The Greedy Basis Equals the Theta Basis: A Rank Two Haiku (with Man Wai Cheung, Mark Gross, Greg Muller, Dylan Rupel, Salvatore Stella, and Harold Williams) CGMMRSW (Univ. Minnesota, et. al.) The Greedy Basis Equals the Theta Basis April 17, / 7

Combinatorics of Theta Bases of Cluster Algebras

Combinatorics of Theta Bases of Cluster Algebras Combinatorics of Theta Bases of Cluster Algebras Li Li (Oakland U), joint with Kyungyong Lee (University of Nebraska Lincoln/KIAS) and Ba Nguyen (Wayne State U) Jan 22 24, 2016 What is a Cluster Algebra?

More information

Bases for Cluster Algebras from Surfaces

Bases for Cluster Algebras from Surfaces Bases for Cluster Algebras from Surfaces Gregg Musiker (U. Minnesota), Ralf Schiffler (U. Conn.), and Lauren Williams (UC Berkeley) Bay Area Discrete Math Day Saint Mary s College of California November

More information

A NEW COMBINATORIAL FORMULA FOR CLUSTER MONOMIALS OF EQUIORIENTED TYPE A QUIVERS

A NEW COMBINATORIAL FORMULA FOR CLUSTER MONOMIALS OF EQUIORIENTED TYPE A QUIVERS A NEW COMBINATORIAL FORMULA FOR CLUSTER MONOMIALS OF EQUIORIENTED TYPE A QUIVERS D. E. BAYLERAN, DARREN J. FINNIGAN, ALAA HAJ ALI, KYUNGYONG LEE, CHRIS M. LOCRICCHIO, MATTHEW R. MILLS, DANIEL PUIG-PEY

More information

(Affine) generalized associahedra, root systems, and cluster algebras

(Affine) generalized associahedra, root systems, and cluster algebras (Affine) generalized associahedra, root systems, and cluster algebras Salvatore Stella (joint with Nathan Reading) INdAM - Marie Curie Actions fellow Dipartimento G. Castelnuovo Università di Roma La Sapienza

More information

Q(x n+1,..., x m ) in n independent variables

Q(x n+1,..., x m ) in n independent variables Cluster algebras of geometric type (Fomin / Zelevinsky) m n positive integers ambient field F of rational functions over Q(x n+1,..., x m ) in n independent variables Definition: A seed in F is a pair

More information

Brane Tilings and Cluster Algebras

Brane Tilings and Cluster Algebras Brane Tilings and Cluster Algebras Gregg Musiker (U. Minnesota), In-Jee Jeong (Brown Univ.), and Sicong Zhang (Columbia Univ.) Algebra, Geometry and Combinatorics Day Loyola University Chicago November

More information

A SURVEY OF CLUSTER ALGEBRAS

A SURVEY OF CLUSTER ALGEBRAS A SURVEY OF CLUSTER ALGEBRAS MELODY CHAN Abstract. This is a concise expository survey of cluster algebras, introduced by S. Fomin and A. Zelevinsky in their four-part series of foundational papers [1],

More information

The geometry of cluster algebras

The geometry of cluster algebras The geometry of cluster algebras Greg Muller February 17, 2013 Cluster algebras (the idea) A cluster algebra is a commutative ring generated by distinguished elements called cluster variables. The set

More information

arxiv: v3 [math.ra] 9 Nov 2012

arxiv: v3 [math.ra] 9 Nov 2012 GREEDY ELEMENTS IN RANK 2 CLUSTER ALGEBRAS KYUNGYONG LEE, LI LI, AND ANDREI ZELEVINSKY arxiv:1208.2391v3 [math.ra] 9 Nov 2012 Abstract. A lot of recent activity in the theory of cluster algebras has been

More information

Quiver mutations. Tensor diagrams and cluster algebras

Quiver mutations. Tensor diagrams and cluster algebras Maurice Auslander Distinguished Lectures April 20-21, 2013 Sergey Fomin (University of Michigan) Quiver mutations based on joint work with Andrei Zelevinsky Tensor diagrams and cluster algebras based on

More information

Introduction to cluster algebras. Andrei Zelevinsky (Northeastern University) MSRI/Evans Lecture, UC Berkeley, October 1, 2012

Introduction to cluster algebras. Andrei Zelevinsky (Northeastern University) MSRI/Evans Lecture, UC Berkeley, October 1, 2012 Introduction to cluster algebras Andrei Zelevinsky (Northeastern University) MSRI/Evans Lecture, UC Berkeley, October, 202 http://www.math.neu.edu/zelevinsky/msri-evans-2.pdf Cluster algebras Discovered

More information

Cluster Variables and Perfect Matchings of Subgraphs of the dp 3 Lattice

Cluster Variables and Perfect Matchings of Subgraphs of the dp 3 Lattice Cluster Variables and Perfect Matchings of Subgraphs of the dp Lattice Sicong Zhang October 8, 0 Abstract We give a combinatorial intepretation of cluster variables of a specific cluster algebra under

More information

Maximal Green Sequences via Quiver Semi-Invariants

Maximal Green Sequences via Quiver Semi-Invariants Maximal Green Sequences via Quiver Semi-Invariants Stephen Hermes Wellesley College, Wellesley, MA Maurice Auslander Distinguished Lectures and International Conference Woods Hole May 3, 2015 Preliminaries

More information

Tropicalizations of Positive Parts of Cluster Algebras The conjectures of Fock and Goncharov David Speyer

Tropicalizations of Positive Parts of Cluster Algebras The conjectures of Fock and Goncharov David Speyer Tropicalizations of Positive Parts of Cluster Algebras The conjectures of Fock and Goncharov David Speyer This talk is based on arxiv:math/0311245, section 4. We saw before that tropicalizations look like

More information

Lecture 2: Cluster complexes and their parametrizations

Lecture 2: Cluster complexes and their parametrizations Lecture 2: Cluster complexes and their parametrizations Nathan Reading NC State University Cluster Algebras and Cluster Combinatorics MSRI Summer Graduate Workshop, August 2011 Introduction The exchange

More information

Lecture Notes Introduction to Cluster Algebra

Lecture Notes Introduction to Cluster Algebra Lecture Notes Introduction to Cluster Algebra Ivan C.H. Ip Update: June 12, 2017 8 Upper Bounds and Lower Bounds In this section, we study the properties of upper bound and lower bound of cluster algebra.

More information

Quivers of Period 2. Mariya Sardarli Max Wimberley Heyi Zhu. November 26, 2014

Quivers of Period 2. Mariya Sardarli Max Wimberley Heyi Zhu. November 26, 2014 Quivers of Period 2 Mariya Sardarli Max Wimberley Heyi Zhu ovember 26, 2014 Abstract A quiver with vertices labeled from 1,..., n is said to have period 2 if the quiver obtained by mutating at 1 and then

More information

Combinatorics of the Del-Pezzo 3 Quiver: Aztec Dragons, Castles, and Beyond

Combinatorics of the Del-Pezzo 3 Quiver: Aztec Dragons, Castles, and Beyond Combinatorics of the Del-Pezzo Quiver: Aztec Dragons, Castles, and Beyond Tri Lai (IMA) and Gregg Musiker (University of Minnesota) AMS Special Session on Integrable Combinatorics March, 0 http//math.umn.edu/

More information

Cluster algebras and applications

Cluster algebras and applications Université Paris Diderot Paris 7 DMV Jahrestagung Köln, 22. September 2011 Context Lie theory canonical bases/total positivity [17] [25] Poisson geometry [13] higher Teichmüller th. [5] Cluster algebras

More information

STABLE CLUSTER VARIABLES

STABLE CLUSTER VARIABLES STABLE CLUSTER VARIABLES GRACE ZHANG Abstract. Eager and Franco introduced a transformation on the F-polynomials of Fomin and Zelevinsky that seems to display a surprising stabilization property in the

More information

arxiv: v1 [math.co] 20 Dec 2016

arxiv: v1 [math.co] 20 Dec 2016 F-POLYNOMIAL FORMULA FROM CONTINUED FRACTIONS MICHELLE RABIDEAU arxiv:1612.06845v1 [math.co] 20 Dec 2016 Abstract. For cluster algebras from surfaces, there is a known formula for cluster variables and

More information

QUANTUM F -POLYNOMIALS IN THE THEORY OF CLUSTER ALGEBRAS. A dissertation presented by Thao Tran to The Department of Mathematics

QUANTUM F -POLYNOMIALS IN THE THEORY OF CLUSTER ALGEBRAS. A dissertation presented by Thao Tran to The Department of Mathematics QUANTUM F -POLYNOMIALS IN THE THEORY OF CLUSTER ALGEBRAS A dissertation presented by Thao Tran to The Department of Mathematics In partial fulfillment of the requirements for the degree of Doctor of Philosophy

More information

Problem 1. Let f n (x, y), n Z, be the sequence of rational functions in two variables x and y given by the initial conditions.

Problem 1. Let f n (x, y), n Z, be the sequence of rational functions in two variables x and y given by the initial conditions. 18.217 Problem Set (due Monday, December 03, 2018) Solve as many problems as you want. Turn in your favorite solutions. You can also solve and turn any other claims that were given in class without proofs,

More information

Lecture 3: Tropicalizations of Cluster Algebras Examples David Speyer

Lecture 3: Tropicalizations of Cluster Algebras Examples David Speyer Lecture 3: Tropicalizations of Cluster Algebras Examples David Speyer Let A be a cluster algebra with B-matrix B. Let X be Spec A with all of the cluster variables inverted, and embed X into a torus by

More information

arxiv: v1 [math.rt] 4 Dec 2017

arxiv: v1 [math.rt] 4 Dec 2017 UNIFORMLY COLUMN SIGN-COHERENCE AND THE EXISTENCE OF MAXIMAL GREEN SEQUENCES PEIGEN CAO FANG LI arxiv:1712.00973v1 [math.rt] 4 Dec 2017 Abstract. In this paper, we prove that each matrix in M m n (Z 0

More information

Cluster algebras and derived categories

Cluster algebras and derived categories Cluster algebras and derived categories Bernhard Keller Abstract. This is an introductory survey on cluster algebras and their (additive) categorification using derived categories of Ginzburg algebras.

More information

Combinatorics of the Del-Pezzo 3 Quiver: Aztec Dragons, Castles, and Beyond

Combinatorics of the Del-Pezzo 3 Quiver: Aztec Dragons, Castles, and Beyond Combinatorics of the Del-Pezzo Quiver: Aztec Dragons, Castles, and Beyond Gregg Musiker (U. Minnesota) Conference on Cluster Algebras in Combinatorics and Topology, KIAS December, 0 http//math.umn.edu/

More information

Section 5.1 Polynomial Functions and Models

Section 5.1 Polynomial Functions and Models Term: A term is an expression that involves only multiplication and/or division with constants and/or variables. A term is separated by + or Polynomial: A polynomial is a single term or the sum of two

More information

R1: Sets A set is a collection of objects sets are written using set brackets each object in onset is called an element or member

R1: Sets A set is a collection of objects sets are written using set brackets each object in onset is called an element or member Chapter R Review of basic concepts * R1: Sets A set is a collection of objects sets are written using set brackets each object in onset is called an element or member Ex: Write the set of counting numbers

More information

Reference Material /Formulas for Pre-Calculus CP/ H Summer Packet

Reference Material /Formulas for Pre-Calculus CP/ H Summer Packet Reference Material /Formulas for Pre-Calculus CP/ H Summer Packet Week # 1 Order of Operations Step 1 Evaluate expressions inside grouping symbols. Order of Step 2 Evaluate all powers. Operations Step

More information

MATH 0960 ELEMENTARY ALGEBRA FOR COLLEGE STUDENTS (8 TH EDITION) BY ANGEL & RUNDE Course Outline

MATH 0960 ELEMENTARY ALGEBRA FOR COLLEGE STUDENTS (8 TH EDITION) BY ANGEL & RUNDE Course Outline MATH 0960 ELEMENTARY ALGEBRA FOR COLLEGE STUDENTS (8 TH EDITION) BY ANGEL & RUNDE Course Outline 1. Real Numbers (33 topics) 1.3 Fractions (pg. 27: 1-75 odd) A. Simplify fractions. B. Change mixed numbers

More information

Module 4: Equations and Inequalities in One Variable

Module 4: Equations and Inequalities in One Variable Module 1: Relationships between quantities Precision- The level of detail of a measurement, determined by the unit of measure. Dimensional Analysis- A process that uses rates to convert measurements from

More information

A Correlation of. Pearson. Mathematical Ideas. to the. TSI Topics

A Correlation of. Pearson. Mathematical Ideas. to the. TSI Topics A Correlation of Pearson 2016 to the A Correlation of 2016 Table of Contents Module M1. Linear Equations, Inequalities, and Systems... 1 Module M2. Algebraic Expressions and Equations (Other Than Linear)...

More information

Algebra 2. Curriculum (524 topics additional topics)

Algebra 2. Curriculum (524 topics additional topics) Algebra 2 This course covers the topics shown below. Students navigate learning paths based on their level of readiness. Institutional users may customize the scope and sequence to meet curricular needs.

More information

Harbor Creek School District. Algebra II Advanced. Concepts Timeframe Skills Assessment Standards Linear Equations Inequalities

Harbor Creek School District. Algebra II Advanced. Concepts Timeframe Skills Assessment Standards Linear Equations Inequalities Algebra II Advanced and Graphing and Solving Linear Linear Absolute Value Relation vs. Standard Forms of Linear Slope Parallel & Perpendicular Lines Scatterplot & Linear Regression Graphing linear Absolute

More information

arxiv: v2 [math.gt] 15 Nov 2017

arxiv: v2 [math.gt] 15 Nov 2017 CLUSTER ALGEBRAS AND JONES POLYNOMIALS KYUNGYONG LEE AND RALF SCHIFFLER arxiv:1710.08063v2 [math.gt] 15 Nov 2017 Abstract. We present a new and very concrete connection between cluster algebras and knot

More information

Cluster Algebras. Philipp Lampe

Cluster Algebras. Philipp Lampe Cluster Algebras Philipp Lampe December 4, 2013 2 Contents 1 Informal introduction 5 1.1 Sequences of Laurent polynomials............................. 5 1.2 Exercises............................................

More information

Aldine I.S.D. Benchmark Targets/ Algebra 2 SUMMER 2004

Aldine I.S.D. Benchmark Targets/ Algebra 2 SUMMER 2004 ASSURANCES: By the end of Algebra 2, the student will be able to: 1. Solve systems of equations or inequalities in two or more variables. 2. Graph rational functions and solve rational equations and inequalities.

More information

GLOSSARY TERM DEFINITIONS

GLOSSARY TERM DEFINITIONS Course: 1205080 M/J Mathematics 3, Advanced RELATED GLOSSARY TERM DEFINITIONS (79) Absolute value: Algebraic expression: Angle: Approximate: Area: Benchmark: Central tendency: Congruent: Continuous data:

More information

Lecture I: Introduction to Tropical Geometry David Speyer

Lecture I: Introduction to Tropical Geometry David Speyer Lecture I: Introduction to Tropical Geometry David Speyer The field of Puiseux series C[[t]] is the ring of formal power series a 0 + a 1 t + and C((t)) is the field of formal Laurent series: a N t N +

More information

Week 9-10: Recurrence Relations and Generating Functions

Week 9-10: Recurrence Relations and Generating Functions Week 9-10: Recurrence Relations and Generating Functions April 3, 2017 1 Some number sequences An infinite sequence (or just a sequence for short is an ordered array a 0, a 1, a 2,..., a n,... of countably

More information

Pre Algebra. Curriculum (634 topics)

Pre Algebra. Curriculum (634 topics) Pre Algebra This course covers the topics shown below. Students navigate learning paths based on their level of readiness. Institutional users may customize the scope and sequence to meet curricular needs.

More information

Power and Polynomial Functions. College Algebra

Power and Polynomial Functions. College Algebra Power and Polynomial Functions College Algebra Power Function A power function is a function that can be represented in the form f x = kx % where k and p are real numbers, and k is known as the coefficient.

More information

MATH 8. Unit 1: Rational and Irrational Numbers (Term 1) Unit 2: Using Algebraic Properties to Simplify Expressions - Probability

MATH 8. Unit 1: Rational and Irrational Numbers (Term 1) Unit 2: Using Algebraic Properties to Simplify Expressions - Probability MATH 8 Unit 1: Rational and Irrational Numbers (Term 1) 1. I CAN write an algebraic expression for a given phrase. 2. I CAN define a variable and write an equation given a relationship. 3. I CAN use order

More information

Algebra II Vocabulary Alphabetical Listing. Absolute Maximum: The highest point over the entire domain of a function or relation.

Algebra II Vocabulary Alphabetical Listing. Absolute Maximum: The highest point over the entire domain of a function or relation. Algebra II Vocabulary Alphabetical Listing Absolute Maximum: The highest point over the entire domain of a function or relation. Absolute Minimum: The lowest point over the entire domain of a function

More information

Quantum cluster algebras

Quantum cluster algebras Advances in Mathematics 195 (2005) 405 455 www.elsevier.com/locate/aim Quantum cluster algebras Arkady Berenstein a, Andrei Zelevinsky b, a Department of Mathematics, University of Oregon, Eugene, OR 97403,

More information

Dimer models and cluster categories of Grassmannians

Dimer models and cluster categories of Grassmannians Dimer models and cluster categories of Grassmannians Karin Baur University of Graz Rome, October 18, 2016 1/17 Motivation Cluster algebra structure of Grassmannians Construction of cluster categories (k,n)

More information

Polytopes and Algebraic Geometry. Jesús A. De Loera University of California, Davis

Polytopes and Algebraic Geometry. Jesús A. De Loera University of California, Davis Polytopes and Algebraic Geometry Jesús A. De Loera University of California, Davis Outline of the talk 1. Four classic results relating polytopes and algebraic geometry: (A) Toric Geometry (B) Viro s Theorem

More information

CHAPTER 1: Review (See also the Precalculus notes at

CHAPTER 1: Review (See also the Precalculus notes at CHAPTER 1: Review (See also the Precalculus notes at http://www.kkuniyuk.com) TOPIC 1: FUNCTIONS (Chapter 1: Review) 1.01 PART A: AN EXAMPLE OF A FUNCTION Consider a function f whose rule is given by f

More information

Introductory Chapter(s)

Introductory Chapter(s) Course 1 6 11-12 years 1 Exponents 2 Sequences Number Theory 3 Divisibility 4 Prime Factorization 5 Greatest Common Factor Fractions and Decimals 6 Comparing and Ordering Fractions 7 Comparing and Ordering

More information

Study Guide for Math 095

Study Guide for Math 095 Study Guide for Math 095 David G. Radcliffe November 7, 1994 1 The Real Number System Writing a fraction in lowest terms. 1. Find the largest number that will divide into both the numerator and the denominator.

More information

AN INTRODUCTION TO AFFINE TORIC VARIETIES: EMBEDDINGS AND IDEALS

AN INTRODUCTION TO AFFINE TORIC VARIETIES: EMBEDDINGS AND IDEALS AN INTRODUCTION TO AFFINE TORIC VARIETIES: EMBEDDINGS AND IDEALS JESSICA SIDMAN. Affine toric varieties: from lattice points to monomial mappings In this chapter we introduce toric varieties embedded in

More information

Quivers and Bipartite Graphs: Physics and Mathematics May 2 6, 2016 University of Notre Dame s London Global Gateway

Quivers and Bipartite Graphs: Physics and Mathematics May 2 6, 2016 University of Notre Dame s London Global Gateway Quivers and Bipartite Graphs: Physics and Mathematics May 2 6, 2016 University of Notre Dame s London Global Gateway ABSTRACTS Wilson Loop diagrams and Grassmannian Geometry Susama Agarwala, University

More information

Lattice Properties of Oriented Exchange Graphs

Lattice Properties of Oriented Exchange Graphs 1 / 31 Lattice Properties of Oriented Exchange Graphs Al Garver (joint with Thomas McConville) Positive Grassmannians: Applications to integrable systems and super Yang-Mills scattering amplitudes July

More information

Math Literacy. Curriculum (457 topics)

Math Literacy. Curriculum (457 topics) Math Literacy This course covers the topics shown below. Students navigate learning paths based on their level of readiness. Institutional users may customize the scope and sequence to meet curricular

More information

Course : Algebraic Combinatorics

Course : Algebraic Combinatorics Course 18.31: Algebraic Combinatorics Lecture Notes # 10 Addendum by Gregg Musiker (Based on Lauren Williams Notes for Math 19 at Harvard) February 5th - 7th, 009 1 Introduction to Partitions A partition

More information

CLUSTER ALGEBRA ALFREDO NÁJERA CHÁVEZ

CLUSTER ALGEBRA ALFREDO NÁJERA CHÁVEZ Séminaire Lotharingien de Combinatoire 69 (203), Article B69d ON THE c-vectors AND g-vectors OF THE MARKOV CLUSTER ALGEBRA ALFREDO NÁJERA CHÁVEZ Abstract. We describe the c-vectors and g-vectors of the

More information

MATH 7 HONORS. Unit 1: Rational and Irrational Numbers (Term 1) Unit 2: Using Algebraic Properties to Simplify Expressions - Probability

MATH 7 HONORS. Unit 1: Rational and Irrational Numbers (Term 1) Unit 2: Using Algebraic Properties to Simplify Expressions - Probability MATH 7 HONORS Unit 1: Rational and Irrational Numbers (Term 1) 1. I CAN write an algebraic expression for a given phrase. 2. I CAN define a variable and write an equation given a relationship. 3. I CAN

More information

Section 0.2 & 0.3 Worksheet. Types of Functions

Section 0.2 & 0.3 Worksheet. Types of Functions MATH 1142 NAME Section 0.2 & 0.3 Worksheet Types of Functions Now that we have discussed what functions are and some of their characteristics, we will explore different types of functions. Section 0.2

More information

CK-12 Middle School Math Grade 8

CK-12 Middle School Math Grade 8 CK-12 Middle School Math aligned with COMMON CORE MATH STATE STANDARDS INITIATIVE Middle School Standards for Math Content Common Core Math Standards for CK-12 Middle School Math The Number System (8.NS)

More information

8th Grade Math Definitions

8th Grade Math Definitions 8th Grade Math Definitions Absolute Value: 1. A number s distance from zero. 2. For any x, is defined as follows: x = x, if x < 0; x, if x 0. Acute Angle: An angle whose measure is greater than 0 and less

More information

Cluster algebras: Notes for the CDM-03 conference

Cluster algebras: Notes for the CDM-03 conference Current Developments in Mathematics, 2003 Pages 1-34 Cluster algebras: Notes for the CDM-03 conference Sergey Fomin and Andrei Zelevinsky Abstract. This is an expanded version of the notes of our lectures

More information

LOG-CANONICAL COORDINATES FOR POISSON BRACKETS AND RATIONAL CHANGES OF COORDINATES

LOG-CANONICAL COORDINATES FOR POISSON BRACKETS AND RATIONAL CHANGES OF COORDINATES LOG-CANONICAL COORDINATES FOR POISSON BRACKETS AND RATIONAL CHANGES OF COORDINATES JOHN MACHACEK AND NICHOLAS OVENHOUSE Abstract. Goodearl and Launois have shown in [GL11] that for a log-canonical Poisson

More information

2-FRIEZE PATTERNS AND THE CLUSTER STRUCTURE OF THE SPACE OF POLYGONS

2-FRIEZE PATTERNS AND THE CLUSTER STRUCTURE OF THE SPACE OF POLYGONS -FRIEZE PATTERNS AND THE CLUSTER STRUCTURE OF THE SPACE OF POLYGONS SOPHIE MORIER-GENOUD, VALENTIN OVSIENKO, AND SERGE TABACHNIKOV Abstract We study the space of -frieze patterns generalizing that of the

More information

Order of Operations. Real numbers

Order of Operations. Real numbers Order of Operations When simplifying algebraic expressions we use the following order: 1. Perform operations within a parenthesis. 2. Evaluate exponents. 3. Multiply and divide from left to right. 4. Add

More information

Syllabus for Grade 7. More details on each of the topics is covered in the following pages.

Syllabus for Grade 7. More details on each of the topics is covered in the following pages. Syllabus for Grade 7 Chapter 1 Algebraic Reasoning Chapter 2 Integers and rational numbers Chapter 3 Number Theory Chapter 4 Rational number Chapter 5 Patterns and functions Chapter 6 Proportional Relationships

More information

SEEDS AND WEIGHTED QUIVERS. 1. Seeds

SEEDS AND WEIGHTED QUIVERS. 1. Seeds SEEDS AND WEIGHTED QUIVERS TSUKASA ISHIBASHI Abstract. In this note, we describe the correspondence between (skew-symmetrizable) seeds and weighted quivers. Also we review the construction of the seed

More information

List of PreCalculus Algebra Mathematical Concept Practice Sheets (Updated Spring 2015)

List of PreCalculus Algebra Mathematical Concept Practice Sheets (Updated Spring 2015) List of PreCalculus Algebra Mathematical Concept Practice Sheets (Updated Spring 2015) MAT 155P MAT 155 1 Absolute Value Equations P 7 P 3 2 Absolute Value Inequalities P 9 P 4 3 Algebraic Expressions:

More information

EXCELLENT RINGS WITH SINGLETON FORMAL FIBERS. 1. Introduction. Although this paper focuses on a commutative algebra result, we shall begin by

EXCELLENT RINGS WITH SINGLETON FORMAL FIBERS. 1. Introduction. Although this paper focuses on a commutative algebra result, we shall begin by Furman University Electronic Journal of Undergraduate Mathematics Volume 5, 1 9, 1999 EXCELLENT RINGS WITH SINGLETON FORMAL FIBERS DAN LEE, LEANNE LEER, SHARA PILCH, YU YASUFUKU Abstract. In this paper

More information

arxiv:math/ v3 [math.rt] 21 Jan 2004

arxiv:math/ v3 [math.rt] 21 Jan 2004 CLUSTER ALGEBRAS III: UPPER BOUNDS AND DOUBLE BRUHAT CELLS arxiv:math/0305434v3 [math.rt] 21 Jan 2004 ARKADY BERENSTEIN, SERGEY FOMIN, AND ANDREI ZELEVINSKY Abstract. We develop a new approach to cluster

More information

Purposeful Design Publications. Intermediate Mathematics Series Scope and Sequence

Purposeful Design Publications. Intermediate Mathematics Series Scope and Sequence Purposeful Design Publications Intermediate Mathematics Series Scope and Sequence All rights reserved, 2004 PO Box 35097 Colorado Springs, CO 80935-3509 800.367.0798 www.purposefuldesign.com I. NUMBER

More information

Mutations of non-integer quivers: finite mutation type. Anna Felikson

Mutations of non-integer quivers: finite mutation type. Anna Felikson Mutations of non-integer quivers: finite mutation type Anna Felikson Durham University (joint works with Pavel Tumarkin and Philipp Lampe) Jerusalem, December 0, 08 . Mutations of non-integer quivers:

More information

EQ: What are limits, and how do we find them? Finite limits as x ± Horizontal Asymptote. Example Horizontal Asymptote

EQ: What are limits, and how do we find them? Finite limits as x ± Horizontal Asymptote. Example Horizontal Asymptote Finite limits as x ± The symbol for infinity ( ) does not represent a real number. We use to describe the behavior of a function when the values in its domain or range outgrow all finite bounds. For example,

More information

Polynomial Expressions and Functions

Polynomial Expressions and Functions Hartfield College Algebra (Version 2017a - Thomas Hartfield) Unit FOUR Page - 1 - of 36 Topic 32: Polynomial Expressions and Functions Recall the definitions of polynomials and terms. Definition: A polynomial

More information

MATH Spring 2010 Topics per Section

MATH Spring 2010 Topics per Section MATH 101 - Spring 2010 Topics per Section Chapter 1 : These are the topics in ALEKS covered by each Section of the book. Section 1.1 : Section 1.2 : Ordering integers Plotting integers on a number line

More information

POSITIVITY FOR CLUSTER ALGEBRAS FROM SURFACES

POSITIVITY FOR CLUSTER ALGEBRAS FROM SURFACES POSITIVITY FOR CLUSTER ALGEBRAS FROM SURFACES GREGG MUSIKER, RALF SCHIFFLER, AND LAUREN WILLIAMS Abstract We give combinatorial formulas for the Laurent expansion of any cluster variable in any cluster

More information

Properties of Real Numbers

Properties of Real Numbers Pre-Algebra Properties of Real Numbers Identity Properties Addition: Multiplication: Commutative Properties Addition: Multiplication: Associative Properties Inverse Properties Distributive Properties Properties

More information

arxiv: v5 [math.ra] 17 Sep 2013

arxiv: v5 [math.ra] 17 Sep 2013 UNIVERSAL GEOMETRIC CLUSTER ALGEBRAS NATHAN READING arxiv:1209.3987v5 [math.ra] 17 Sep 2013 Abstract. We consider, for each exchange matrix B, a category of geometric cluster algebras over B and coefficient

More information

New Jersey Quality Single Accountability Continuum (NJQSAC) A-SSE 1-2; A-CED 1,4; A-REI 1-3, F-IF 1-5, 7a

New Jersey Quality Single Accountability Continuum (NJQSAC) A-SSE 1-2; A-CED 1,4; A-REI 1-3, F-IF 1-5, 7a ALGEBRA 2 HONORS Date: Unit 1, September 4-30 How do we use functions to solve real world problems? What is the meaning of the domain and range of a function? What is the difference between dependent variable

More information

PETERS TOWNSHIP HIGH SCHOOL

PETERS TOWNSHIP HIGH SCHOOL PETERS TOWNSHIP HIGH SCHOOL COURSE SYLLABUS: ALG EBRA 2 HONORS Course Overview and Essential Skills This course is an in-depth study of the language, concepts, and techniques of Algebra that will prepare

More information

Affine Geometry and the Discrete Legendre Transfrom

Affine Geometry and the Discrete Legendre Transfrom Affine Geometry and the Discrete Legendre Transfrom Andrey Novoseltsev Department of Mathematics University of Washington April 25, 2008 Andrey Novoseltsev (UW) Affine Geometry April 25, 2008 1 / 24 Outline

More information

ACCRS/QUALITY CORE CORRELATION DOCUMENT: ALGEBRA I

ACCRS/QUALITY CORE CORRELATION DOCUMENT: ALGEBRA I ACCRS/QUALITY CORE CORRELATION DOCUMENT: ALGEBRA I Revised March 25, 2013 Extend the properties of exponents to rational exponents. 1. [N-RN1] Explain how the definition of the meaning of rational exponents

More information

Pre AP Algebra. Mathematics Standards of Learning Curriculum Framework 2009: Pre AP Algebra

Pre AP Algebra. Mathematics Standards of Learning Curriculum Framework 2009: Pre AP Algebra Pre AP Algebra Mathematics Standards of Learning Curriculum Framework 2009: Pre AP Algebra 1 The content of the mathematics standards is intended to support the following five goals for students: becoming

More information

Instructional Unit Basic Statistics Algebra II #309 Unit Content Objective Performance Indicator Performance Task State Standards Code:

Instructional Unit Basic Statistics Algebra II #309 Unit Content Objective Performance Indicator Performance Task State Standards Code: Algebra II Instructional Unit Basic Statistics -Displaying data with dotplots and The students will be -Use scientific or graphing -Classroom discussion 2.1.11.A stemplots. able to evaluate calculator

More information

Again we return to a row of 1 s! Furthermore, all the entries are positive integers.

Again we return to a row of 1 s! Furthermore, all the entries are positive integers. Lecture Notes Introduction to Cluster Algebra Ivan C.H. Ip Updated: April 4, 207 Examples. Conway-Coxeter frieze pattern Frieze is the wide central section part of an entablature, often seen in Greek temples,

More information

Analysis of California Mathematics standards to Common Core standards Algebra I

Analysis of California Mathematics standards to Common Core standards Algebra I Analysis of California Mathematics standards to Common Core standards Algebra I CA Math Standard Domain Common Core Standard () Alignment Comments in 1.0 Students identify and use the arithmetic properties

More information

Algebra I. Unit 1 Connections to Algebra

Algebra I. Unit 1 Connections to Algebra Unit 1 Connections to Algebra Time: 15 days Objectives: 1, 2, 8 and 9 Translate verbal into mathematical Write using exponents Use the order of operations to evaluate Solve open sentences by performing

More information

Algebra I. abscissa the distance along the horizontal axis in a coordinate graph; graphs the domain.

Algebra I. abscissa the distance along the horizontal axis in a coordinate graph; graphs the domain. Algebra I abscissa the distance along the horizontal axis in a coordinate graph; graphs the domain. absolute value the numerical [value] when direction or sign is not considered. (two words) additive inverse

More information

Standards for Mathematical Practice. Ratio and Proportional Relationships

Standards for Mathematical Practice. Ratio and Proportional Relationships North Carolina Standard Course of Study Sixth Grade Mathematics 1. Make sense of problems and persevere in solving them. 2. Reason abstractly and quantitatively. 3. Construct viable arguments and critique

More information

Curriculum Vitae HAROLD WILLIAMS

Curriculum Vitae HAROLD WILLIAMS Curriculum Vitae HAROLD WILLIAMS Office Address: University of California, Davis Email Address: hwilliams@math.ucdavis.edu Department of Mathematics Phone: (979) 777 6384 1 Shields Ave, MSB 2143 Homepage:

More information

CHAPTER 8: EXPLORING R

CHAPTER 8: EXPLORING R CHAPTER 8: EXPLORING R LECTURE NOTES FOR MATH 378 (CSUSM, SPRING 2009). WAYNE AITKEN In the previous chapter we discussed the need for a complete ordered field. The field Q is not complete, so we constructed

More information

arxiv: v2 [math.co] 14 Jun 2018

arxiv: v2 [math.co] 14 Jun 2018 DOMINANCE PHENOMENA: MUTATION, SCATTERING AND CLUSTER ALGEBRAS arxiv:1802.10107v2 [math.co 14 Jun 2018 NATHAN READING Abstract. An exchange matrix B dominates an exchange matrix B if the signs of corresponding

More information

Course Readiness and Skills Review Handbook (Topics 1-10, 17) (240 topics, due. on 09/11/2015) Course Readiness (55 topics)

Course Readiness and Skills Review Handbook (Topics 1-10, 17) (240 topics, due. on 09/11/2015) Course Readiness (55 topics) Course Name: Gr. 8 Fall 2015 Course Code: C6HNH-TEK9E ALEKS Course: Middle School Math Course 3 Instructor: Mr. Fernando Course Dates: Begin: 08/31/2015 End: 06/17/2016 Course Content: 642 Topics (637

More information

Chapter P. Prerequisites. Slide P- 1. Copyright 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley

Chapter P. Prerequisites. Slide P- 1. Copyright 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide P- 1 Chapter P Prerequisites 1 P.1 Real Numbers Quick Review 1. List the positive integers between -4 and 4.. List all negative integers greater than -4. 3. Use a calculator to evaluate the expression

More information

Determine trigonometric ratios for a given angle in a right triangle.

Determine trigonometric ratios for a given angle in a right triangle. Course: Algebra II Year: 2017-18 Teacher: Various Unit 1: RIGHT TRIANGLE TRIGONOMETRY Standards Essential Questions Enduring Understandings G-SRT.C.8 Use 1) How are the The concept of trigonometric ratios

More information

Edinburgh, December 2009

Edinburgh, December 2009 From totally nonnegative matrices to quantum matrices and back, via Poisson geometry Edinburgh, December 2009 Joint work with Ken Goodearl and Stéphane Launois Papers available at: http://www.maths.ed.ac.uk/~tom/preprints.html

More information

Cluster algebras, snake graphs and continued fractions. Ralf Schiffler

Cluster algebras, snake graphs and continued fractions. Ralf Schiffler Cluster algebras, snake graphs and continued fractions Ralf Schiffler Intro Cluster algebras Continued fractions Snake graphs Intro Cluster algebras Continued fractions expansion formula via perfect matchings

More information

Algebra One As of: September 2014 Teacher Contact: Ms.Zinn (CVHS-NGC)

Algebra One As of: September 2014 Teacher Contact: Ms.Zinn (CVHS-NGC) Algebra One As of: September 2014 Teacher Contact: Ms.Zinn (CVHS-NGC) CCSS Unit Theme SKILLS ASSESSMENT & PRODUCTS Translate sentences into equations such as, The length of a rectangle is ten less than

More information

Pre-Algebra (7) B Mathematics

Pre-Algebra (7) B Mathematics Course Overview Students will develop skills in using variables, evaluating algebraic expressions by the use of the order of operations, solving equations and inequalities, graphing linear equations, functions

More information

Pacing Guide. Algebra II. Robert E. Lee High School Staunton City Schools Staunton, Virginia

Pacing Guide. Algebra II. Robert E. Lee High School Staunton City Schools Staunton, Virginia Pacing Guide Algebra II Robert E. Lee High School Staunton City Schools Staunton, Virginia 2010-2011 Algebra 2 - Pacing Guide 2010 2011 (SOL# s for the 2011 2012 school year are indicated in parentheses

More information