96 results on '"Gain graph"'
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2. No T-gain graph with the rank r (Φ) = 2m(G)-2c(G)+1.
- Author
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Yuxuan Wang, Rentian Shang, Jingwen Wu, and Yong Lu
- Subjects
- *
UNDIRECTED graphs , *GRAPH connectivity - Abstract
Let Φ = (G, ϕ) be a -gain graph. In this paper, we will prove that there are no -gain graphs with the rank 2m(G) - 2c(G) + 1, where c(G) is the dimension of cycle space of G, m(G) is the matching number of G. For a given c(G), we also prove that there are innitely many connected -gain graphs with the rank 2m(G)-2c(G)+s, (0 ⩽ s ⩽ 3c(G), s ̸= 1). These results can also apply to undirected graphs, signed graphs and mixed graphs. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
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3. Eigenvalues of complex unit gain graphs and gain regularity
- Author
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Brunetti Maurizio
- Subjects
gain graph ,eigenvalues ,index ,t-regularity ,05c22 ,05c50 ,05c76 ,Mathematics ,QA1-939 - Abstract
A complex unit gain graph (or T{\mathbb{T}}-gain graph) Γ=(G,γ)\Gamma =\left(G,\gamma ) is a gain graph with gains in T{\mathbb{T}}, the multiplicative group of complex units. The T{\mathbb{T}}-outgain in Γ\Gamma of a vertex v∈Gv\in G is the sum of the gains of all the arcs originating in vv. A T{\mathbb{T}}-gain graph is said to be an aa-T{\mathbb{T}}-regular graph if the T{\mathbb{T}}-outgain of each of its vertices is equal to aa. In this article, it is proved that aa-T{\mathbb{T}}-regular graphs exist for every a∈Ra\in {\mathbb{R}}. This, in particular, means that every real number can be a T{\mathbb{T}}-gain graph eigenvalue. Moreover, denoted by Ω(a)\Omega \left(a) the class of connected T{\mathbb{T}}-gain graphs whose largest eigenvalue is the real number aa, it is shown that Ω(a)\Omega \left(a) is nonempty if and only if aa belongs to {0}∪[1,+∞)\left\{0\right\}\cup \left[1,+\infty ). In order to achieve these results, non-complete extended pp-sums and suitably defined joins of T{\mathbb{T}}-gain graphs are considered.
- Published
- 2024
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4. Burnside Chromatic Polynomials of Group-Invariant Graphs
- Author
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White Jacob A.
- Subjects
chromatic polynomial ,burnside ring ,gain graph ,polynomial function ,05c15 ,05c25 ,Mathematics ,QA1-939 - Abstract
We introduce the Burnside chromatic polynomial of a graph that is invariant under a group action. This is a generalization of the Q-chromatic function Zaslavsky introduced for gain graphs. Given a group 𝕲 acting on a graph G and a 𝕲-set X, a proper X-coloring is a function with no monochromatic edge orbit. The set of proper colorings is a 𝕲-set which induces a polynomial function from the Burnside ring of 𝕲 to itself. In this paper, we study many properties of the Burnside chromatic polynomial, answering some questions of Zaslavsky.
- Published
- 2023
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5. On cospectrality of gain graphs
- Author
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Cavaleri Matteo and Donno Alfredo
- Subjects
gain graph ,g-cospectrality ,π-cospectrality ,unitary representation ,switching equivalence ,switching isomorphism ,05c22 ,05c25 ,05c50 ,20c15 ,Mathematics ,QA1-939 - Abstract
We define GG-cospectrality of two GG-gain graphs (Γ,ψ)\left(\Gamma ,\psi ) and (Γ′,ψ′)\left(\Gamma ^{\prime} ,\psi ^{\prime} ), proving that it is a switching isomorphism invariant. When GG is a finite group, we prove that GG-cospectrality is equivalent to cospectrality with respect to all unitary representations of GG. Moreover, we show that two connected gain graphs are switching equivalent if and only if the gains of their closed walks centered at an arbitrary vertex vv can be simultaneously conjugated. In particular, the number of switching equivalence classes on an underlying graph Γ\Gamma with nn vertices and mm edges, is equal to the number of simultaneous conjugacy classes of the group Gm−n+1{G}^{m-n+1}. We provide examples of GG-cospectral switching nonisomorphic graphs and we prove that any gain graph on a cycle is determined by its GG-spectrum. Moreover, we show that when GG is a finite cyclic group, the cospectrality with respect to a faithful irreducible representation implies the cospectrality with respect to any other faithful irreducible representation, and that the same assertion is false in general.
- Published
- 2022
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6. A switching method for constructing cospectral gain graphs
- Author
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Abiad Monge, Aida, Belardo, Francesco, Khramova, Antonina, Abiad Monge, Aida, Belardo, Francesco, and Khramova, Antonina
- Abstract
A gain graph over a group G, also referred to as G-gain graph, is a graph where an element of a group G, called gain, is assigned to each oriented edge, in such a way that the inverse element is associated with the opposite orientation. Gain graphs can be regarded as a generalization of signed graphs, among others. In this work, we show a new switching method to construct cospectral gain graphs. Some previous methods known for graph cospectrality follow as a corollary of our results.
- Published
- 2024
7. On the adjacency matrix of a complex unit gain graph.
- Author
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Mehatari, Ranjit, Kannan, M. Rajesh, and Samanta, Aniruddha
- Subjects
- *
COMPLEX matrices , *COMPLEX numbers , *EIGENVALUES , *POLYNOMIALS , *CHARTS, diagrams, etc. , *BIPARTITE graphs - Abstract
A complex unit gain graph is a simple graph in which each orientation of an edge is given a complex number with modulus 1 and its inverse is assigned to the opposite orientation of the edge. In this article, first we establish bounds for the eigenvalues of the complex unit gain graphs. Then we study some of the properties of the adjacency matrix of a complex unit gain graph in connection with the characteristic and the permanental polynomials. Then we establish spectral properties of the adjacency matrices of complex unit gain graphs. In particular, using Perron–Frobenius theory, we establish a characterization for bipartite graphs in terms of the set of eigenvalues of a gain graph and the set of eigenvalues of the underlying graph. Also, we derive an equivalent condition on the gain so that the eigenvalues of the gain graph and the eigenvalues of the underlying graph are the same. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
8. Balancedness and the Least Laplacian Eigenvalue of Some Complex Unit Gain Graphs
- Author
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Belardo Francesco, Brunetti Maurizio, and Reff Nathan
- Subjects
gain graph ,laplacian eigenvalues ,balanced graph ,algebraic frustration ,05c50 ,05c22 ,Mathematics ,QA1-939 - Abstract
Let 𝕋4 = {±1, ±i} be the subgroup of 4-th roots of unity inside 𝕋, the multiplicative group of complex units. A complex unit gain graph Φ is a simple graph Γ = (V (Γ) = {v1, . . . , vn}, E(Γ)) equipped with a map ϕ:E→(Γ)→𝕋\varphi :\vec E(\Gamma ) \to \mathbb{T} defined on the set of oriented edges such that ϕ(vivj) = ϕ(vjvi)−1. The gain graph Φ is said to be balanced if for every cycle C = vi1vi2vikvi1 we have ϕ(vi1vi2)ϕ(vi2vi3) ϕ(vikvi1) = 1.
- Published
- 2020
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9. On the Falk Invariant of Shi and Linial Arrangements.
- Author
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Guo, Weili and Torielli, Michele
- Subjects
- *
OPEN-ended questions , *CONES , *FUNDAMENTAL groups (Mathematics) - Abstract
It is an open question to give a combinatorial interpretation of the Falk invariant of a hyperplane arrangement, i.e., the third rank of successive quotients in the lower central series of the fundamental group of the arrangement. In this article, we give a combinatorial formula for this invariant in the case of hyperplane arrangements that are complete lift representations of certain gain graphs. As a corollary, we compute the Falk invariant for the cone of the braid, Shi, Linial, and semiorder arrangements. [ABSTRACT FROM AUTHOR]
- Published
- 2021
- Full Text
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10. A group representation approach to balance of gain graphs.
- Author
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Cavaleri, Matteo, D'Angeli, Daniele, and Donno, Alfredo
- Abstract
We study the balance of G-gain graphs, where G is an arbitrary group, by investigating their adjacency matrices and their spectra. As a first step, we characterize switching equivalence and balance of gain graphs in terms of their adjacency matrices in M n (C G) . Then we introduce a represented adjacency matrix, associated with a gain graph and a group representation, by extending the theory of Fourier transforms from the group algebra C G to the algebra M n (C G) . We prove that, anytime G admits a finite-dimensional faithful unitary representation π , a G-gain graph is balanced if and only if the spectrum of the represented adjacency matrix associated with π coincides with the spectrum of the underlying graph, with multiplicity given by the degree of the representation. We show that the complex adjacency matrix of complex unit gain graphs and the adjacency matrix of a cover graph are indeed particular cases of our construction. This enables us to recover some classical results and prove some new characterizations of balance in terms of spectrum, index or structure of these graphs. [ABSTRACT FROM AUTHOR]
- Published
- 2021
- Full Text
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11. The determinant of the Laplacian matrix of a quaternion unit gain graph.
- Author
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Kyrchei, Ivan I., Treister, Eran, and Pelykh, Volodymyr O.
- Subjects
- *
QUATERNIONS , *LAPLACIAN matrices - Abstract
A quaternion unit gain graph is a graph where each orientation of an edge is given a quaternion unit, and the opposite orientation is assigned the inverse of this quaternion unit. In this paper, we provide a combinatorial description of the determinant of the Laplacian matrix of a quaternion unit gain graph by using row-column noncommutative determinants recently introduced by one of the authors. A numerical example is presented for illustrating our results. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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12. A switching method for constructing cospectral gain graphs.
- Author
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Abiad, Aida, Belardo, Francesco, and Khramova, Antonina P.
- Subjects
- *
GENERALIZATION - Abstract
A gain graph over a group G , also referred to as G -gain graph, is a graph where an element of a group G , called gain, is assigned to each oriented edge, in such a way that the inverse element is associated with the opposite orientation. Gain graphs can be regarded as a generalization of signed graphs, among others. In this work, we show a new switching method to construct cospectral gain graphs. Some previous methods known for graph cospectrality follow as a corollary of our results. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
13. Gain-line graphs via G-phases and group representations.
- Author
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Cavaleri, Matteo, D'Angeli, Daniele, and Donno, Alfredo
- Subjects
- *
GROUP algebras , *MATRICES (Mathematics) , *LAPLACIAN matrices , *REPRESENTATIONS of graphs , *FOURIER transforms - Abstract
Let G be an arbitrary group. We define a gain-line graph for a gain graph (Γ , ψ) through the choice of an incidence G -phase matrix inducing ψ. We prove that the switching equivalence class of the gain function on the line graph L (Γ) does not change if one chooses a different G -phase inducing ψ or a different representative of the switching equivalence class of ψ. In this way, we generalize to any group some results proven by N. Reff in the abelian case. The investigation of the orbits of some natural actions of G on the set H Γ of G -phases of Γ allows us to characterize gain functions on Γ, gain functions on L (Γ) , their switching equivalence classes and their balance property. The use of group algebra valued matrices plays a fundamental role and, together with the matrix Fourier transform, allows us to represent a gain graph with Hermitian matrices and to perform spectral computations. Our spectral results also provide some necessary conditions for a gain graph to be a gain-line graph. [ABSTRACT FROM AUTHOR]
- Published
- 2021
- Full Text
- View/download PDF
14. The graphs that have antivoltages using groups of small order.
- Author
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Sivaraman, Vaidy and Slilaty, Daniel
- Subjects
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SMALL groups , *GRAPH algorithms , *MATROIDS - Abstract
Given a group Γ of order at most six, we characterize the graphs that have Γ -antivoltages and also determine the list of minor-minimal graphs that have no Γ -antivoltage. Our characterizations yield polynomial-time recognition algorithms for such graphs. [ABSTRACT FROM AUTHOR]
- Published
- 2019
- Full Text
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15. On the structure of matroids arising from the gain graphs.
- Author
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Maimani, H.R., Parsaei-Majd, L., Pournaki, M.R., and Poursoltani, M.
- Subjects
- *
HAMMING weight , *MATROIDS , *DIRECTED graphs - Abstract
The gain graphs are essential generalizations of the signed graphs. They are indeed directed graphs whose edges are labeled by the elements of a group rather than just ±1. In this paper, we prove the existence of matroids arising from these graphs. Further, we study the structure of the obtained matroids as well as their relation with the generalized Hamming weights, the regularity of the ideal of circuits, and the codes. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
16. Spectra of quaternion unit gain graphs
- Author
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Howard Skogman, Nolan J. Coble, Francesco Belardo, Nathan Reff, Maurizio Brunetti, Belardo, F., Brunetti, M., Coble, N. J., Reff, N., and Skogman, H.
- Subjects
Numerical Analysis ,Algebra and Number Theory ,Gain graph ,Adjacency matrix ,Spectral graph theory ,Orientation (graph theory) ,Left eigenvalue ,Right eigenvalues ,Combinatorics ,Quaternion matrix ,Path (graph theory) ,Discrete Mathematics and Combinatorics ,Adjacency list ,Geometry and Topology ,Laplacian matrix ,Quaternion ,Eigenvalues and eigenvectors ,Mathematics - Abstract
A quaternion unit gain graph is a graph where each orientation of an edge is given a quaternion unit, which is the inverse of the quaternion unit assigned to the opposite orientation. In this paper we define the adjacency, Laplacian and incidence matrices for a quaternion unit gain graph and study their properties. These properties generalize several fundamental results from spectral graph theory of ordinary graphs, signed graphs and complex unit gain graphs. Bounds for both the left and right eigenvalues of the adjacency and Laplacian matrix are developed, and the right eigenvalues for the cycle and path graphs are explicitly calculated.
- Published
- 2022
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17. Gain Graph
- Author
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Alhajj, Reda, editor and Rokne, Jon, editor
- Published
- 2018
- Full Text
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18. On the determinant of the Laplacian matrix of a complex unit gain graph.
- Author
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Wang, Yi, Gong, Shi-Cai, and Fan, Yi-Zheng
- Subjects
- *
GRAPH theory , *LAPLACIAN matrices , *MATHEMATICAL complexes , *UNDIRECTED graphs , *PATHS & cycles in graph theory - Abstract
Let G be a complex unit gain graph which is obtained from an undirected graph Γ by assigning a complex unit φ ( v i v j ) to each oriented edge v i v j such that φ ( v i v j ) φ ( v j v i ) = 1 for all edges. The Laplacian matrix of G is defined as L ( G ) = D ( G ) − A ( G ) , where D ( G ) is the degree diagonal matrix of Γ and A ( G ) = ( a i j ) has a i j = φ ( v i v j ) if v i is adjacent to v j and a i j = 0 otherwise. In this paper, we provide a combinatorial description of det ( L ( G ) ) that generalizes that for the determinant of the Laplacian matrix of a signed graph. [ABSTRACT FROM AUTHOR]
- Published
- 2018
- Full Text
- View/download PDF
19. Bounds for the extremal eigenvalues of gain Laplacian matrices
- Author
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M. Rajesh Kannan, Shivaramakrishna Pragada, and Navish Kumar
- Subjects
Numerical Analysis ,Algebra and Number Theory ,Gain graph ,010102 general mathematics ,Diagonal ,010103 numerical & computational mathematics ,Function (mathematics) ,Orientation (graph theory) ,01 natural sciences ,Vertex (geometry) ,Combinatorics ,05C22(primary), 05C50(secondary) ,Diagonal matrix ,FOS: Mathematics ,Mathematics - Combinatorics ,Discrete Mathematics and Combinatorics ,Combinatorics (math.CO) ,Geometry and Topology ,Adjacency matrix ,0101 mathematics ,Eigenvalues and eigenvectors ,MathematicsofComputing_DISCRETEMATHEMATICS ,Mathematics - Abstract
A complex unit gain graph ($\mathbb{T}$-gain graph), $\Phi = (G, \varphi)$ is a graph where the function $\varphi$ assigns a unit complex number to each orientation of an edge of $G$, and its inverse is assigned to the opposite orientation. A $ \mathbb{T} $-gain graph $\Phi$ is balanced if the product of the edge gains of each cycle (with a fixed orientation) is $1$. Signed graphs are special cases of $\mathbb{T}$-gain graphs. The adjacency matrix of $\Phi$, denoted by $ \mathbf{A}(\Phi)$ is defined canonically. The gain Laplacian for $\Phi$ is defined as $\mathbf{L}(\Phi) = \mathbf{D}(\Phi) - \mathbf{A}(\Phi)$, where $\mathbf{D}(\Phi)$ is the diagonal matrix with diagonal entries are the degrees of the vertices of $G$. The minimum number of vertices (resp., edges) to be deleted from $\Phi$ in order to get a balanced gain graph the frustration number (resp, frustration index). We show that frustration number and frustration index are bounded below by the smallest eigenvalue of $\mathbf{L}(\Phi)$. We provide several lower and upper bounds for extremal eigenvalues of $\mathbf{L}(\Phi)$ in terms of different graph parameters such as the number of edges, vertex degrees, and average $2$-degrees. The signed graphs are particular cases of the $\mathbb{T}$-gain graphs, all the bounds established in paper hold for signed graphs. Most of the bounds established here are new for signed graphs. Finally, we perform comparative analysis for all the obtained bounds in the paper with the state-of-the-art bounds available in the literature for randomly generated Erd\H{o}s-Re\'yni graphs. Some of the major highlights of our paper are the gain-dependent bounds, limit convergence of the bounds to the extremal eigenvalues, and optimal extremal bounds obtained by posing optimization problems to achieve the best possible bounds., Comment: Preliminary version. 32 pages
- Published
- 2021
- Full Text
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20. On the Dowling and Rhodes lattices and wreath products
- Author
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Stuart W. Margolis, John Rhodes, and Pedro V. Silva
- Subjects
Computer Science::Computer Science and Game Theory ,Geometric lattice ,Mathematics::Combinatorics ,Algebra and Number Theory ,Gain graph ,Degree (graph theory) ,Direct sum ,010102 general mathematics ,Link (geometry) ,01 natural sciences ,Matroid ,05B35, 06B99, 18B40, 20E22 ,Combinatorics ,Computer Science::Discrete Mathematics ,0103 physical sciences ,Uniform matroid ,FOS: Mathematics ,Mathematics - Combinatorics ,Logical matrix ,Combinatorics (math.CO) ,010307 mathematical physics ,0101 mathematics ,Computer Science::Data Structures and Algorithms ,Mathematics - Abstract
Dowling and Rhodes defined different lattices on the set of triples (Subset, Partition, Cross Section) over a fixed finite group G. Although the Rhodes lattice is not a geometric lattice, it defines a matroid in the sense of the theory of boolean representable simplicial complexes. This turns out to be the direct sum of a uniform matroid with the lift matroid of the complete gain link graph over G. As is well known, the Dowling lattice defines the frame matroid over a similar gain graph. This gives a new perspective on both matroids and also an application of matroid theory to the theory of finite semigroups. We also make progress on an important question for these classical matroids: what are the minimal boolean representations and the minimum degree of a boolean matrix representation?
- Published
- 2021
- Full Text
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21. Symmetry Adapted Assur Decompositions
- Author
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Anthony Nixon, Bernd Schulze, Adnan Sljoka, and Walter Whiteley
- Subjects
Assur decomposition ,pinned framework ,forced symmetry ,symmetric infinitesimal motion ,isostatic graph ,gain graph ,orbit matrix ,Mathematics ,QA1-939 - Abstract
Assur graphs are a tool originally developed by mechanical engineers to decompose mechanisms for simpler analysis and synthesis. Recent work has connected these graphs to strongly directed graphs and decompositions of the pinned rigidity matrix. Many mechanisms have initial configurations, which are symmetric, and other recent work has exploited the orbit matrix as a symmetry adapted form of the rigidity matrix. This paper explores how the decomposition and analysis of symmetric frameworks and their symmetric motions can be supported by the new symmetry adapted tools.
- Published
- 2014
- Full Text
- View/download PDF
22. Gain-line graphs via G-phases and group representations
- Author
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Daniele D'Angeli, Matteo Cavaleri, and Alfredo Donno
- Subjects
Discrete mathematics ,Numerical Analysis ,Algebra and Number Theory ,Gain graph ,Group algebra ,Hermitian matrix ,Group representation ,law.invention ,Matrix (mathematics) ,law ,Line graph ,FOS: Mathematics ,Mathematics - Combinatorics ,Discrete Mathematics and Combinatorics ,Combinatorics (math.CO) ,Geometry and Topology ,Abelian group ,Equivalence class ,Mathematics - Abstract
Let $G$ be an arbitrary group. We define a gain-line graph for a gain graph $(\Gamma,\psi)$ through the choice of an incidence $G$-phase matrix inducing $\psi$. We prove that the switching equivalence class of the gain function on the line graph $L(\Gamma)$ does not change if one chooses a different $G$-phase inducing $\psi$ or a different representative of the switching equivalence class of $\psi$. In this way, we generalize to any group some results proven by N. Reff in the abelian case. The investigation of the orbits of some natural actions of $G$ on the set $\mathcal H_\Gamma$ of $G$-phases of $\Gamma$ allows us to characterize gain functions on $\Gamma$, gain functions on $L(\Gamma)$, their switching equivalence classes and their balance property. The use of group algebra valued matrices plays a fundamental role and, together with the matrix Fourier transform, allows us to represent a gain graph with Hermitian matrices and to perform spectral computations. Our spectral results also provide some necessary conditions for a gain graph to be a gain-line graph., Comment: 28 pages, 6 figures, 1 table
- Published
- 2021
- Full Text
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23. Bounds for the rank of a complex unit gain graph in terms of its maximum degree
- Author
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Yong Lu and Jingwen Wu
- Subjects
Combinatorics ,Numerical Analysis ,Algebra and Number Theory ,Gain graph ,010102 general mathematics ,Discrete Mathematics and Combinatorics ,010103 numerical & computational mathematics ,Geometry and Topology ,0101 mathematics ,01 natural sciences ,Upper and lower bounds ,Mathematics - Abstract
Let Φ = ( G , φ ) be a T -gain graph with maximum degree Δ. Zhou et al. (2018) [35] gave a lower bound of the rank of simple graphs in items of maximum degree. Motivated by above result, in this paper, we extend this result to T -gain graphs. We obtain that r ( Φ ) ≥ n Δ for a T -gain graph. All the corresponding extremal graphs are characterized. Furthermore, we also obtain some other results about the rank of T -gain graphs.
- Published
- 2021
- Full Text
- View/download PDF
24. Complex unit gain graphs with exactly one positive eigenvalue
- Author
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Jianfeng Wang, Lu Lu, and Qiongxiang Huang
- Subjects
Numerical Analysis ,Algebra and Number Theory ,Gain graph ,010102 general mathematics ,Inverse ,010103 numerical & computational mathematics ,01 natural sciences ,Graph ,Combinatorics ,Discrete Mathematics and Combinatorics ,Geometry and Topology ,0101 mathematics ,Eigenvalues and eigenvectors ,MathematicsofComputing_DISCRETEMATHEMATICS ,Mathematics - Abstract
A complex unit gain graph is a graph where each orientation of an edge is given a complex unit, which is the inverse of the complex unit assigned to the opposite orientation. In this paper, we characterize the structure of the complex unit gain graphs with exactly one positive eigenvalue. As its applications, we obtain the complex unit gain graphs with rank 2, and investigate the complex unit gain graphs with exactly two eigenvalues different from 0 and −1.
- Published
- 2021
- Full Text
- View/download PDF
25. Bounding and stabilizing realizations of biased graphs with a fixed group.
- Author
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Neudauer, Nancy Ann and Slilaty, Daniel
- Subjects
- *
FIXED point theory , *GRAPH theory , *STABILITY theory , *GROUP theory , *NUMBER theory - Abstract
Given a group Γ and a biased graph ( G , B ) , we define a what is meant by a Γ-realization of ( G , B ) and a notion of equivalence of Γ-realizations. We prove that for a finite group Γ and t ≥ 3 , there are numbers n ( Γ ) and n ( Γ , t ) such that the number of Γ-realizations of a vertically 3-connected biased graph is at most n ( Γ ) and that the number of Γ-realizations of a nonseparable biased graph without a ( 2 C t , ∅ ) -minor is at most n ( Γ , t ) . Other results pertaining to contrabalanced biased graphs are presented as well as an analogue to Whittle's Stabilizer Theorem for Γ-realizations of biased graphs. [ABSTRACT FROM AUTHOR]
- Published
- 2017
- Full Text
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26. Complex unit gain graphs of rank 2
- Author
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Feng Xu, Fenglei Tian, Qi Zhou, and Dein Wong
- Subjects
Numerical Analysis ,Algebra and Number Theory ,Gain graph ,Bicyclic graphs ,Unicyclic graphs ,Graph ,Circle group ,Combinatorics ,Discrete Mathematics and Combinatorics ,Geometry and Topology ,Adjacency matrix ,Complex number ,Gain function ,Mathematics - Abstract
Let T be the group of all complex numbers z with | z | = 1 . A complex unit gain graph, or simply a T -gain graph, is a triple Φ = ( G , T , φ ) consisting of a graph G = ( V , E ) , the circle group T and a gain function φ : E → → T such that φ ( v i v j ) = φ ( v j v i ) − 1 = φ ( v j v i ) ‾ for any adjacent vertices v i and v j . The adjacency matrix A ( Φ ) of the T -gain graph Φ = ( G , T , φ ) of order n is an n × n complex matrix ( a i j ) , where a i j = a j i ‾ = φ ( v i v j ) if v i is adjacent to v j and a i j = 0 if otherwise. The rank of a T -gain graph Φ, denoted by r ( Φ ) , is the rank of the adjacency matrix of Φ. Yu et al. [24] obtained some properties of inertia indexes of a T -gain graph and they characterized the T -gain unicyclic graphs with small positive or negative index. Lu [8] characterized the T -gain bicyclic graphs with rank 2 , 3 or 4. Motivated by above, we determine the rank of a T -gain unicyclic graph and classify the T -gain graphs with rank 2.
- Published
- 2020
- Full Text
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27. On the relation between the adjacency rank of a complex unit gain graph and the matching number of its underlying graph
- Author
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Shuchao Li and Ting Yang
- Subjects
Combinatorics ,Algebra and Number Theory ,Gain graph ,Adjacency list ,Circuit rank ,Adjacency matrix ,Graph ,Mathematics ,Characteristic polynomial - Abstract
Let G ϕ be an n-vertex complex unit gain graph and let G be its underlying graph. The adjacency rank of G ϕ , written as r ( G ϕ ) , is the rank of its adjacency matrix and denote by α ′ ( G ) the ...
- Published
- 2020
- Full Text
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28. Relation between the inertia indices of a complex unit gain graph and those of its underlying graph
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Xiaocong He and Shahid Zaman
- Subjects
Combinatorics ,Algebra and Number Theory ,Gain graph ,media_common.quotation_subject ,010103 numerical & computational mathematics ,0101 mathematics ,Inertia ,01 natural sciences ,Graph ,Gain function ,Mathematics ,media_common ,Circle group - Abstract
A T -gain graph is a triple Φ = ( G , T , ϕ ) consisting of an underlying graph G = ( V ( G ) , E ( G ) ) , the circle group T = { z ∈ C : | z | = 1 } and a gain function ϕ : E → → T , such that ϕ ...
- Published
- 2020
- Full Text
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29. Balancedness and the Least Laplacian Eigenvalue of Some Complex Unit Gain Graphs
- Author
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Maurizio Brunetti, Francesco Belardo, Nathan Reff, Belardo, Francesco, Brunetti, Maurizio, and Reff, Nathan
- Subjects
balanced graph ,Gain graph ,Applied Mathematics ,Balanced graph ,gain graph ,Laplacian eigenvalues ,Combinatorics ,gain graph, Laplacian eigenvalues, balanced graph, algebraic frustration ,QA1-939 ,Discrete Mathematics and Combinatorics ,laplacian eigenvalues ,05c22 ,algebraic frustration ,05c50 ,Laplace operator ,Unit (ring theory) ,Eigenvalues and eigenvectors ,Mathematics - Abstract
Let $mathbb{T}_4={ pm 1, pm i}$ be the subgroup of $4$-th roots of unity inside $mathbb{T}$, the multiplicative group of complex units. A complex unit gain graph $Phi$ is a simple graph $Gamma=(V(Gamma)={v_1,dots, v_n},E(Gamma))$ equipped with a map $arphi : v {E}(Gamma) ightarrow mathbb{T}$ defined on the set of oriented edges such that $arphi(v_iv_j) = arphi(v_jv_i)^{-1}$. The gain graph $Phi$ is said to be balanced if for every cycle $C=v_{i_1}v_{i_2}cdots , v_{i_k}v_{i_1} $ we have $arphi(v_{i_1}v_{i_2})arphi(v_{i_2}v_{i_3}) , cdots , arphi(v_{i_{k}}v_{i_1})=1$.smallskip It is known that $Phi$ is balanced if and only if the least Laplacian eigenvalue $lambda_n(Phi)$ is $0$. Here we show that, if $Phi$ is unbalanced and $arphi (Phi) subseteq mathbb{T}_4$, the eigenvalue $lambda_n(Phi)$ measures how far is $Phi$ from being balanced. More precisely, let $ u(Phi)$ (resp., $epsilon(Phi)$) be the number of vertices (resp., edges) to cancel in order to get a balanced gain subgraph. We show that [lambda_n(Phi)leq u(Phi)leq epsilon(Phi).] We also analyze the case when $lambda_n(Phi)= u(Phi)$. In fact, we identify the structural conditions on $Phi$ that lead to such equality.
- Published
- 2020
30. Oriented gain graphs, line graphs and eigenvalues.
- Author
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Reff, Nathan
- Subjects
- *
EIGENVALUES , *DIRECTED graphs , *GRAPH theory , *MATRICES (Mathematics) , *MATHEMATICAL notation - Abstract
A theory of orientation on gain graphs (voltage graphs) is developed to generalize the notion of orientation on graphs and signed graphs. Using this orientation scheme, the line graph of a gain graph is studied. For a particular family of gain graphs with complex units, matrix properties are established. As with graphs and signed graphs, there is a relationship between the incidence matrix of a complex unit gain graph and the adjacency matrix of the line graph. [ABSTRACT FROM AUTHOR]
- Published
- 2016
- Full Text
- View/download PDF
31. Bicircular matroids representable over [formula omitted] or [formula omitted].
- Author
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Chun, Deborah, Moss, Tyler, Slilaty, Daniel, and Zhou, Xiangqian
- Subjects
- *
MATROIDS , *POLYNOMIALS , *ALGORITHMS , *MATHEMATICAL formulas , *CONFORMAL geometry - Abstract
Given a bicircular matroid B ( G ) and q ∈ { 4 , 5 } , we characterize when the bicircular matroid B ( G ) is G F ( q ) -representable by precisely describing the structure of G . These descriptions yield polynomial-time algorithms with input G to certify if B ( G ) is or is not G F ( q ) -representable. [ABSTRACT FROM AUTHOR]
- Published
- 2016
- Full Text
- View/download PDF
32. Symmetry-forced rigidity of frameworks on surfaces.
- Author
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Nixon, Anthony and Schulze, Bernd
- Abstract
A fundamental theorem of Laman characterises when a bar-joint framework realised generically in the Euclidean plane admits a non-trivial continuous deformation of its vertices. This has recently been extended in two ways. Firstly to frameworks that are symmetric with respect to some point group but are otherwise generic, and secondly to frameworks in Euclidean 3-space that are constrained to lie on 2-dimensional algebraic varieties. We combine these two settings and consider the rigidity of symmetric frameworks realised on such surfaces. First we establish necessary conditions for a framework to be symmetry-forced rigid for any group and any surface by setting up a symmetry-adapted rigidity matrix for such frameworks and by extending the methods in Jordán et al. (2012) to this new context. This gives rise to several new symmetry-adapted rigidity matroids on group-labelled quotient graphs. In the cases when the surface is a sphere, a cylinder or a cone we then also provide combinatorial characterisations of generic symmetry-forced rigid frameworks for a number of symmetry groups, including rotation, reflection, inversion and dihedral symmetry. The proofs of these results are based on some new Henneberg-type inductive constructions on the group-labelled quotient graphs that correspond to the bases of the matroids in question. For the remaining symmetry groups in 3-space-as well as for other types of surfaces-we provide some observations and conjectures. [ABSTRACT FROM AUTHOR]
- Published
- 2016
- Full Text
- View/download PDF
33. The graphs that have antivoltages using groups of small order
- Author
-
Daniel C. Slilaty and Vaidy Sivaraman
- Subjects
Combinatorics ,Discrete mathematics ,Gain graph ,Group (mathematics) ,Voltage graph ,Discrete Mathematics and Combinatorics ,Order (group theory) ,Recognition algorithm ,Theoretical Computer Science ,Mathematics - Abstract
Given a group Γ of order at most six, we characterize the graphs that have Γ -antivoltages and also determine the list of minor-minimal graphs that have no Γ -antivoltage. Our characterizations yield polynomial-time recognition algorithms for such graphs.
- Published
- 2019
- Full Text
- View/download PDF
34. Gain Graph
- Author
-
Alhajj, Reda, editor and Rokne, Jon, editor
- Published
- 2014
- Full Text
- View/download PDF
35. Symmetry Adapted Assur Decompositions.
- Author
-
Nixon, Anthony, Schulze, Bernd, Sljoka, Adnan, and Whiteley, Walter
- Subjects
- *
SYMMETRY , *PROFESSIONAL employees , *ATTITUDES toward work , *WORK environment , *BOHMIAN mechanics - Abstract
Assur graphs are a tool originally developed by mechanical engineers to decompose mechanisms for simpler analysis and synthesis. Recent work has connected these graphs to strongly directed graphs and decompositions of the pinned rigidity matrix.Many mechanisms have initial configurations, which are symmetric, and other recent work has exploited the orbit matrix as a symmetry adapted form of the rigidity matrix. This paper explores how the decomposition and analysis of symmetric frameworks and their symmetric motions can be supported by the new symmetry adapted tools. [ABSTRACT FROM AUTHOR]
- Published
- 2014
- Full Text
- View/download PDF
36. GAIN: Graph Attention & Interaction Network for Inductive Semi-Supervised Learning over Large-scale Graphs
- Author
-
Liu Wei, Yunpeng Weng, Xu Chen, and Liang Chen
- Subjects
FOS: Computer and information sciences ,Computer Science - Machine Learning ,Gain graph ,Theoretical computer science ,Computer science ,Computer Science - Artificial Intelligence ,Node (networking) ,Concatenation ,Semi-supervised learning ,computer.software_genre ,Computer Science Applications ,News aggregator ,Machine Learning (cs.LG) ,Computer Science - Information Retrieval ,Artificial Intelligence (cs.AI) ,Computational Theory and Mathematics ,Interaction network ,Feature (machine learning) ,Representation (mathematics) ,computer ,Information Retrieval (cs.IR) ,Information Systems - Abstract
Graph Neural Networks (GNNs) have led to state-of-the-art performance on a variety of machine learning tasks such as recommendation, node classification and link prediction. Graph neural network models generate node embeddings by merging nodes features with the aggregated neighboring nodes information. Most existing GNN models exploit a single type of aggregator (e.g., mean-pooling) to aggregate neighboring nodes information, and then add or concatenate the output of aggregator to the current representation vector of the center node. However, using only a single type of aggregator is difficult to capture the different aspects of neighboring information and the simple addition or concatenation update methods limit the expressive capability of GNNs. Not only that, existing supervised or semi-supervised GNN models are trained based on the loss function of the node label, which leads to the neglect of graph structure information. In this paper, we propose a novel graph neural network architecture, Graph Attention \& Interaction Network (GAIN), for inductive learning on graphs. Unlike the previous GNN models that only utilize a single type of aggregation method, we use multiple types of aggregators to gather neighboring information in different aspects and integrate the outputs of these aggregators through the aggregator-level attention mechanism. Furthermore, we design a graph regularized loss to better capture the topological relationship of the nodes in the graph. Additionally, we first present the concept of graph feature interaction and propose a vector-wise explicit feature interaction mechanism to update the node embeddings. We conduct comprehensive experiments on two node-classification benchmarks and a real-world financial news dataset. The experiments demonstrate our GAIN model outperforms current state-of-the-art performances on all the tasks., Accepted by IEEE Transactions on Knowledge and Data Engineering (TKDE)
- Published
- 2020
37. A reciprocal eigenvalue property for unicyclic weighted directed graphs with weights from.
- Author
-
Kalita, Debajit and Pati, Sukanta
- Subjects
- *
RECIPROCITY theorems , *EIGENVALUES , *WEIGHTED graphs , *DIRECTED graphs , *MULTIPLICITY (Mathematics) - Abstract
Abstract: A weighted directed graph is a directed graph G whose underlying undirected graph is simple and whose edges have nonzero (directional) complex weights, that is, the presence of an edge of weight is as good as the presence of the edge with weight , the complex conjugate of . Let G be a weighted directed graph on vertices . Denote by the weight of an edge . The adjacency matrix of G is an matrix with entries or or 0, depending on whether or or otherwise, respectively. We supply a characterization of those unicyclic weighted directed graphs G whose edges have weights from the set and whose adjacency matrix satisfies the following property: ‘λ is an eigenvalue of with multiplicity k if and only if is an eigenvalue of with the same multiplicity’. [Copyright &y& Elsevier]
- Published
- 2014
- Full Text
- View/download PDF
38. On Two Laplacian Matrices for Skew Gain Graphs
- Author
-
K. A. Germina, Roshni T Roy, and K. Shahul Hameed
- Subjects
Gain graph ,Multiplicative group ,Applied Mathematics ,graph, adjacency matrix, laplacian matrix, incidence matrix, graph eigenvalue, skew gain graph ,Skew ,Incidence matrix ,Orientation (graph theory) ,Combinatorics ,QA1-939 ,FOS: Mathematics ,Discrete Mathematics and Combinatorics ,Mathematics - Combinatorics ,05C22, 05C50, 05C76 ,Adjacency matrix ,Combinatorics (math.CO) ,Laplacian matrix ,Laplace operator ,Mathematics ,MathematicsofComputing_DISCRETEMATHEMATICS - Abstract
Let $G=(V,\overrightarrow{E})$ be a graph with some prescribed orientation for the edges and $\Gamma$ be an arbitrary group. If $f\in \mathrm{Inv}(\Gamma)$ be an anti-involution then the skew gain graph $\Phi_f=(G,\Gamma,\varphi,f)$ is such that the skew gain function $\varphi:\overrightarrow{E}\rightarrow \Gamma$ satisfies $\varphi(\overrightarrow{vu})=f(\varphi(\overrightarrow{uv}))$. In this paper, we study two different types, Laplacian and $g$-Laplacian matrices for a skew gain graph where the skew gains are taken from the multiplicative group $F^\times$ of a field $F$ of characteristic zero. Defining incidence matrix, we also prove the matrix tree theorem for skew gain graphs in the case of the $g$-Laplacian matrix., Comment: 15 pages
- Published
- 2020
39. A group representation approach to balance of gain graphs
- Author
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Daniele D'Angeli, Matteo Cavaleri, and Alfredo Donno
- Subjects
Algebra and Number Theory ,Gain graph ,010102 general mathematics ,Multiplicity (mathematics) ,0102 computer and information sciences ,Group algebra ,Group Theory (math.GR) ,01 natural sciences ,Graph ,Group representation ,Combinatorics ,symbols.namesake ,Unitary representation ,Fourier transform ,010201 computation theory & mathematics ,05C22, 05C25, 05C50, 20C15, 43A32 ,symbols ,FOS: Mathematics ,Discrete Mathematics and Combinatorics ,Mathematics - Combinatorics ,Adjacency matrix ,Combinatorics (math.CO) ,0101 mathematics ,Mathematics - Group Theory ,Mathematics - Abstract
We study the balance of $G$-gain graphs, where $G$ is an arbitrary group, by investigating their adjacency matrices and their spectra. As a first step, we characterize switching equivalence and balance of gain graphs in terms of their adjacency matrices in $M_n(\mathbb C G)$. Then we introduce a represented adjacency matrix, associated with a gain graph and a group representation, by extending the theory of Fourier transforms from the group algebra $\mathbb C G$ to the algebra $M_n(\mathbb C G)$. We prove that a gain graph is balanced if and only if the spectrum of the represented adjacency matrix associated with any (or equivalently all) faithful unitary representation of $G$ coincides with the spectrum of the underlying graph, with multiplicity given by the degree of the representation. We show that the complex adjacency matrix of unit gain graphs and the adjacency matrix of a cover graph are indeed particular cases of our construction. This enables us to recover some classical results and prove some new characterizations of balance in terms of spectrum, index or structure of these graphs., Comment: 27 pages, 3 tables, 5 figures. In this second version, the word "balancedness" (with the meaning of "property of being balanced") has been replaced by the word "balance" both in the title and in the body of the article
- Published
- 2020
- Full Text
- View/download PDF
40. Gain distance matrices for complex unit gain graphs
- Author
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Aniruddha Samanta and M. Rajesh Kannan
- Subjects
Discrete mathematics ,Gain graph ,Inverse ,Function (mathematics) ,Orientation (graph theory) ,Theoretical Computer Science ,Combinatorics ,Distance matrix ,Bipartite graph ,Discrete Mathematics and Combinatorics ,Complex number ,Distance matrices in phylogeny ,MathematicsofComputing_DISCRETEMATHEMATICS ,Mathematics - Abstract
A complex unit gain graph ( T -gain graph) Φ = ( G , φ ) is a graph where the function φ assigns a unit complex number to each orientation of an edge of G, and its inverse is assigned to the opposite orientation. A T -gain graph is balanced if the product of the edge gains of each oriented cycle (if any) is 1. We propose two notions of gain distance matrices D max ( Φ ) and D min ( Φ ) of a T -gain graph Φ, for any ordering ‘ D max ( Φ ) = D min ( Φ ) holds for the standard ordering of the vertices if and only if the same holds for any ordering of the vertices, and we call such T -gain graphs as distance compatible gain graphs. We characterize the distance compatible gain graphs whose gain distance matrices are cospectral with the distance matrix of the underlying graph. Besides, we introduce the notion of positively weighted T -gain graphs and establish an equivalent condition for the balance of a T -gain graph. Acharya's and Stanic's spectral criteria for balance are deduced as a consequence. Besides, we obtain some spectral characterizations for the balance of a T -gain graph in terms of the gain distance matrices. Finally, we characterize the distance compatible bipartite T -gain graphs. We show a T -gain graph Φ is distance compatible if and only if every block of Φ is distance compatible.
- Published
- 2022
- Full Text
- View/download PDF
41. On the determinant of the Laplacian matrix of a complex unit gain graph
- Author
-
Yi-Zheng Fan, Yi Wang, and Shi-Cai Gong
- Subjects
Discrete mathematics ,Degree matrix ,Gain graph ,Degree (graph theory) ,0211 other engineering and technologies ,021107 urban & regional planning ,010103 numerical & computational mathematics ,02 engineering and technology ,01 natural sciences ,Theoretical Computer Science ,Combinatorics ,Graph energy ,Graph bandwidth ,Graph power ,Seidel adjacency matrix ,Discrete Mathematics and Combinatorics ,0101 mathematics ,Laplacian matrix ,Mathematics - Abstract
Let G be a complex unit gain graph which is obtained from an undirected graph Γ by assigning a complex unit φ ( v i v j ) to each oriented edge v i v j such that φ ( v i v j ) φ ( v j v i ) = 1 for all edges. The Laplacian matrix of G is defined as L ( G ) = D ( G ) − A ( G ) , where D ( G ) is the degree diagonal matrix of Γ and A ( G ) = ( a i j ) has a i j = φ ( v i v j ) if v i is adjacent to v j and a i j = 0 otherwise. In this paper, we provide a combinatorial description of det ( L ( G ) ) that generalizes that for the determinant of the Laplacian matrix of a signed graph.
- Published
- 2018
- Full Text
- View/download PDF
42. Velocity polytopes of periodic graphs and a no-go theorem for digital physics.
- Author
-
Fritz, Tobias
- Subjects
- *
POLYTOPES , *HYPERSPACE , *GRAPH theory , *MATHEMATICS theorems , *INFINITY (Mathematics) , *DIMENSIONAL analysis , *DIRECTED graphs - Abstract
Abstract: A periodic graph in dimension is a directed graph with a free action of with only finitely many orbits. It can conveniently be represented in terms of an associated finite graph with weights in , corresponding to a -bundle with connection. Here we use the weight sums along cycles in this associated graph to construct a certain polytope in , which we regard as a geometrical invariant associated to the periodic graph. It is the unit ball of a norm on describing the large-scale geometry of the graph. It has a physical interpretation as the set of attainable velocities of a particle on the graph which can hop along one edge per timestep. Since a polytope necessarily has distinguished directions, there is no periodic graph for which this velocity set is isotropic. In the context of classical physics, this can be viewed as a no-go theorem for the emergence of an isotropic space from a discrete structure. [Copyright &y& Elsevier]
- Published
- 2013
- Full Text
- View/download PDF
43. Spectral properties of complex unit gain graphs
- Author
-
Reff, Nathan
- Subjects
- *
SPECTRAL theory , *GRAPH theory , *INVERSE problems , *LAPLACIAN operator , *EIGENVALUES , *LINEAR algebra , *MATHEMATICAL analysis - Abstract
Abstract: A complex unit gain graph is a graph where each orientation of an edge is given a complex unit, which is the inverse of the complex unit assigned to the opposite orientation. We extend some fundamental concepts from spectral graph theory to complex unit gain graphs. We define the adjacency, incidence and Laplacian matrices, and study each of them. The main results of the paper are eigenvalue bounds for the adjacency and Laplacian matrices. [Copyright &y& Elsevier]
- Published
- 2012
- Full Text
- View/download PDF
44. BALANCE IN CERTAIN GAIN GRAPH PRODUCTS.
- Author
-
SHAHUL HAMEED, K. and GERMINA, K. A.
- Subjects
- *
GRAPHIC methods , *EIGENVALUES , *KRONECKER products , *BINARY operations , *GRAPH theory , *POLYNOMIALS , *ABELIAN categories - Abstract
A gain graph is a graph where the edges are given some orientation and labeled with the elements (called gains) from a group so that gains are inverted when we reverse the direction of the edges. A signed graph with labels from the multiplicative group {1,–1} on the edges can be taken as a particular case of a gain graph. In this article, we extend the definition of certain operations on graphs, such as NEPS and composition, to gain graphs and characterize balance in such products of gain graphs. Also we analyze the adjacency matrices and eigenvalues of these products when the underlying group for labeling the edges of the gain graphs is the multiplicative group of a field. [ABSTRACT FROM AUTHOR]
- Published
- 2012
45. Balance in gain graphs – A spectral analysis
- Author
-
Shahul Hameed K and Germina, K.A.
- Subjects
- *
SPECTRAL theory , *MATRIX analytic methods , *CHARACTERISTIC functions , *POLYNOMIALS , *RECURSIVE sequences (Mathematics) , *GRAPH theory - Abstract
Abstract: A gain graph is a graph where the edges are given some orientation and labeled with the elements (called gains) from a group so that gains are inverted when we reverse the direction of the edges. A signed graph with labels from the multiplicative group on the edges can be taken as a particular case of a gain graph. In this article, we initiate a matrix analysis of gain graphs by defining the adjacency matrices of gain graphs when the underlying group for labeling the edges is the multiplicative group of a field and characterize balance in such gain graphs using the characteristic polynomials. We also establish recurrence relations for the characteristic polynomials of a gain graph and discuss consequences of these relations. [Copyright &y& Elsevier]
- Published
- 2012
- Full Text
- View/download PDF
46. Biased graphs. VII. Contrabalance and antivoltages
- Author
-
Zaslavsky, Thomas
- Subjects
- *
GRAPH theory , *SCALAR field theory , *VECTOR analysis , *FUNCTIONAL analysis - Abstract
Abstract: We develop linear representation theory for bicircular matroids, a chief example being a matroid associated with forests of a graph, and bicircular lift matroids, a chief example being a matroid associated with spanning forests. (These are bias and lift matroids of contrabalanced biased graphs.) The theory is expressed largely in terms of antivoltages (edge labellings that defy Kirchhoff''s voltage law) with values in the multiplicative or additive group of the scalar field. We emphasize antivoltages with values in cyclic groups and finite vector spaces since they are crucial for representing the matroids over finite fields; and integer-valued antivoltages with bounded breadth since they are crucial in constructions. We find bounds for the existence of antivoltages and we solve some examples. Other results: The number of antivoltages in an abelian group is a polynomial function of the group order, and the number of integral antivoltages with bounded breadth is a polynomial in the breadth bound. We conclude with an application to complex representation. There are many open questions. [Copyright &y& Elsevier]
- Published
- 2007
- Full Text
- View/download PDF
47. Bounding and stabilizing realizations of biased graphs with a fixed group
- Author
-
Nancy Ann Neudauer and Daniel C. Slilaty
- Subjects
Discrete mathematics ,Gain graph ,Symmetric graph ,010102 general mathematics ,Voltage graph ,0102 computer and information sciences ,Biased graph ,01 natural sciences ,1-planar graph ,Theoretical Computer Science ,Combinatorics ,Computational Theory and Mathematics ,010201 computation theory & mathematics ,Random regular graph ,Discrete Mathematics and Combinatorics ,0101 mathematics ,Forbidden graph characterization ,Universal graph ,Mathematics - Abstract
Given a group Γ and a biased graph ( G , B ) , we define a what is meant by a Γ-realization of ( G , B ) and a notion of equivalence of Γ-realizations. We prove that for a finite group Γ and t ≥ 3 , there are numbers n ( Γ ) and n ( Γ , t ) such that the number of Γ-realizations of a vertically 3-connected biased graph is at most n ( Γ ) and that the number of Γ-realizations of a nonseparable biased graph without a ( 2 C t , ∅ ) -minor is at most n ( Γ , t ) . Other results pertaining to contrabalanced biased graphs are presented as well as an analogue to Whittle's Stabilizer Theorem for Γ-realizations of biased graphs.
- Published
- 2017
- Full Text
- View/download PDF
48. Biased graphs IV: Geometrical realizations
- Author
-
Zaslavsky, Thomas
- Subjects
- *
GRAPHIC methods , *GROUP theory , *SEMILATTICES , *GEOMETRY - Abstract
A gain graph is a graph whose oriented edges are labelled invertibly from a group
G , the gain group. A gain graph determines a biased graph and therefore has three natural matroids (as shown in Parts I and II): the bias matroidG has connected circuits; the complete lift matroidL0 and its restriction to the edge set, the lift matroidL , have circuits not necessarily connected. We investigate representations of these matroids. Each has a canonical vector representation over any skew fieldF such thatG⊆F* (in the case ofG ) orG⊆F+ (in the case ofL andL0 ). The representation ofG is unique up to change of gains when the gain graph is full, but not in general. The representation ofG orL is unique or semi-unique (up to changing the gains) for ‘thick’ biased graphs. The lift representations are unique (up to change of gains) forL0 but not forL . The bias matroid is representable also in other ways by points and hyperplanes; one of these representations dualizes the vector representation, while two, in projective space, strongly generalize the theorems of Menelaus and Ceva. (The latter specialize to properties of the geometry of midpoints and farpoints, and of median and edge-parallel hyperplanes, in an affine simplex.) The dual hyperplane representation can be abstracted away from fields to a kind of equational logic and permutation geometry that exist for every gain group. The lift matroids are representable by orthographic points and by linear, projective, and affinographic hyperplanes.L0 also has a metric hyperplanar representation that depends on the Pythagorean theorem. Incidental results are that Whitney''s 2-isomorphism operations preserve gains and, to an extent, matroids; and new definitions of the bias and lift matroids based on extremal properties of the rank functions. [Copyright &y& Elsevier]- Published
- 2003
- Full Text
- View/download PDF
49. Line and Subdivision Graphs Determined by T4-Gain Graphs
- Author
-
Carlos M. Fonseca, Maurizio Brunetti, Milica Anđelić, Francesco Belardo, Abdullah Alazemi, Brunetti, M, Belardo, F, Alazemi, A, Andelic, M., and da Fonseca, C. M.
- Subjects
Gain graph ,Root of unity ,Multiplicative group ,General Mathematics ,010103 numerical & computational mathematics ,0102 computer and information sciences ,01 natural sciences ,law.invention ,Combinatorics ,law ,Line graph ,Computer Science (miscellaneous) ,Complex unit graphs, Line graph, Oriented gain graph, Subdivision graph, Voltage graph ,0101 mathematics ,Engineering (miscellaneous) ,Mathematics ,Characteristic polynomial ,complex unit gain graph ,subdivision graph ,oriented gain graph ,voltage graph ,Voltage graph ,Incidence matrix ,line graph ,010201 computation theory & mathematics ,Adjacency list - Abstract
Let T 4 = { ±, 1 , ±, i } be the subgroup of fourth roots of unity inside T , the multiplicative group of complex units. For a T 4 -gain graph &Phi, = ( &Gamma, T 4 , &phi, ) , we introduce gain functions on its line graph L ( &Gamma, ) and on its subdivision graph S ( &Gamma, ) . The corresponding gain graphs L ( &Phi, ) and S ( &Phi, ) are defined up to switching equivalence and generalize the analogous constructions for signed graphs. We discuss some spectral properties of these graphs and in particular we establish the relationship between the Laplacian characteristic polynomial of a gain graph &Phi, and the adjacency characteristic polynomials of L ( &Phi, ) . A suitably defined incidence matrix for T 4 -gain graphs plays an important role in this context.
- Published
- 2019
- Full Text
- View/download PDF
50. The rank of a complex unit gain graph in terms of the matching number
- Author
-
Fengming Dong, Shengjie He, and Rong-Xia Hao
- Subjects
Numerical Analysis ,Algebra and Number Theory ,Gain graph ,010102 general mathematics ,Mixed graph ,Circuit rank ,010103 numerical & computational mathematics ,01 natural sciences ,Hermitian matrix ,Combinatorics ,Bipartite graph ,FOS: Mathematics ,Discrete Mathematics and Combinatorics ,Mathematics - Combinatorics ,Geometry and Topology ,Adjacency matrix ,Combinatorics (math.CO) ,0101 mathematics ,05C50 ,Undirected graph ,Complex number ,Mathematics - Abstract
A complex unit gain graph (or T -gain graph) is a triple Φ = ( G , T , φ ) (or ( G , φ ) for short) consisting of a simple graph G, as the underlying graph of ( G , φ ) , the set of unit complex numbers T = { z ∈ C : | z | = 1 } and a gain function φ : E → → T with the property that φ ( e i , j ) = φ ( e j , i ) − 1 . In this paper, we prove that 2 m ( G ) − 2 c ( G ) ≤ r ( G , φ ) ≤ 2 m ( G ) + c ( G ) , where r ( G , φ ) , m ( G ) and c ( G ) are the rank of the Hermitian adjacency matrix H ( G , φ ) , the matching number and the cyclomatic number of G, respectively. Furthermore, the complex unit gain graphs ( G , T , φ ) with r ( G , φ ) = 2 m ( G ) − 2 c ( G ) and r ( G , φ ) = 2 m ( G ) + c ( G ) are characterized. These results generalize the corresponding known results about undirected graphs, mixed graphs and signed graphs. Moreover, we show that 2 m ( G − V 0 ) ≤ r ( G , φ ) ≤ 2 m ( G ) + S holds for any S ⊂ V ( G ) such that G − S is bipartite and any subset V 0 of V ( G ) such that G − V 0 is acyclic.
- Published
- 2019
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