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We study a generating function for the sum over fatgraphs with specified valences of vertices and faces, inversely weighted by the order of their symmetry group. A compact expression is found for general (i.e. non necessarily connected)…

High Energy Physics - Theory · Physics 2007-05-23 P. Di Francesco , C. Itzykson

We extend the reciprocity method of Jones and Remmel to study generating functions of the form $$\sum_{n \geq 0} \frac{t^n}{n!} \sum_{\sigma \in \mathcal{NM}_n(\Gamma)}x^{\mathrm{LRmin}(\sigma)}y^{1+\mathrm{des}(\sigma)}$$ where $\Gamma$ is…

Combinatorics · Mathematics 2015-10-16 Quang T. Bach , Jeffrey B. Remmel

Let G be the space of generating functions of a periodic infinite order linear recurrence. In this paper we provide an explicit procedure for computing a basis of G.

Rings and Algebras · Mathematics 2013-11-08 António Bravo , Henrique M. Oliveira

Supersymmetric non-linear sigma-models are described by a field dependent Kaehler metric determining the kinetic terms. In general it is not guaranteed that this metric is always invertible. Our aim is to investigate the symmetry structure…

High Energy Physics - Theory · Physics 2011-10-11 T. S. Nyawelo , F. Riccioni , J. W. van Holten , S. Groot Nibbelink

We discuss a method for computing the generating function for the multiplicity distribution in field theories with strong time dependent external sources. At leading order, the computation of the generating function reduces to finding a…

High Energy Physics - Phenomenology · Physics 2009-11-11 Francois Gelis , Raju Venugopalan

This is a note for constructing fundamental invariants and computing the Hilbert series of the invariant subalgebras of tensor products of polynomial rings under the action by a direct product of symmetric groups. Our computation relies on…

Combinatorics · Mathematics 2021-03-04 Zhipeng Lu

We study generating functions in the context of Rota-Baxter algebras. We show that exponential generating functions can be naturally viewed in a very special case of complete free commutative Rota-Baxter algebras. This allows us to use free…

Combinatorics · Mathematics 2015-10-15 Nancy Shanshan Gu , Li Guo

This paper presents some formulae to calculate moments of inertia for solids of revolution and for solids generated by contour plots. For this, the symmetry properties and the generating functions of the figures are utilized. The combined…

Classical Physics · Physics 2007-05-23 Rodolfo A. Diaz , William J. Herrera , R. Martinez

The algebra of symmetric functions contains several interesting families of symmetric functions indexed by integer partitions or skew partitions. Given a sequence $\{u_n\}$ of symmetric functions taken from one of these families such that…

Combinatorics · Mathematics 2024-03-12 Velmurugan S

Sequences are often conveniently encoded in the form of a generating function depending on a formal variable. This note presents two observations that allow one to draw conclusions about the generated sequence from the generating function.…

Classical Analysis and ODEs · Mathematics 2025-11-17 Alex Kasman , Robert Milson

We perform Monte Carlo calculation of correlation functions in 4d N=4 super Yang-Mills theory on R*S^3 in the planar limit. In order to circumvent the well-known problem of lattice SUSY, we adopt the idea of a novel large-N reduction, which…

High Energy Physics - Lattice · Physics 2010-11-18 Masazumi Honda , Goro Ishiki , Sang-Woo Kim , Jun Nishimura , Asato Tsuchiya

We construct new integral representations for transformations of the ordinary generating function for a sequence, $\langle f_n \rangle$, into the form of a generating function that enumerates the corresponding "square series" generating…

Number Theory · Mathematics 2017-05-18 Maxie D. Schmidt

We generalize the supersymmetry method in Random Matrix Theory to arbitrary rotation invariant ensembles. Our exact approach further extends a previous contribution in which we constructed a supersymmetric representation for the class of…

Mathematical Physics · Physics 2009-11-11 Thomas Guhr

The three dimensional nonlinear sigma model is unrenormalizable in perturbative method. By using the $\beta$ function in the nonperturbative Wilsonian renormalization group method, we argue that ${\cal N}=2$ supersymmetric nonlinear…

High Energy Physics - Theory · Physics 2009-11-10 K. Higashijima , E. Itou

We solve general 1-matrix models without taking the double scaling limit. A method of computing generating functions is presented. We calculate the generating functions for a simple and double torus. Our method is also applicable to more…

High Energy Physics - Theory · Physics 2009-10-28 Hiroshi Shirokura

We show that a recent identity of Beck-Gessel-Lee-Savage on the generating function of symmetrically contrained compositions of integers generalizes naturally to a family of convex polyhedral cones that are invariant under the action of a…

Combinatorics · Mathematics 2013-10-07 Matthias Beck , Thomas Bliem , Benjamin Braun , Carla Savage

In this paper, we discuss the generalizations of exact supersymmetries present in the supersymmetrized sigma models. These generalizations are made by making the supersymmetric transformation parameter field-dependent. Remarkably, the…

High Energy Physics - Theory · Physics 2014-06-23 Rabin Banerjee , Sudhaker Upadhyay

We study the renormalization group flow of the O(N) non-linear sigma model in arbitrary dimensions. The effective action of the model is truncated to fourth order in the derivative expansion and the flow is obtained by combining the…

High Energy Physics - Theory · Physics 2013-05-16 Raphael Flore , Andreas Wipf , Omar Zanusso

This paper is concerned with the characterizations of fixed points of the generating function of branching processes with countably infinitely many types. We assume each particle of type $i$ can only give offspring of type $j\geq i$, whose…

Probability · Mathematics 2024-04-10 Jiangrui Tan , Mei Zhang

Precision and Recall are two prominent metrics of generative performance, which were proposed to separately measure the fidelity and diversity of generative models. Given their central role in comparing and improving generative models,…

Machine Learning · Computer Science 2023-07-20 Mahyar Khayatkhoei , Wael AbdAlmageed