Raziskovalni matematični seminar  Arhiv
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A set of permutations $\mathcal{F}$ of a finite transitive group $G\leq \sym(\Omega)$ is \emph{intersecting} if any two permutations in $\mathcal{F}$ agree on an element of $\Omega$. The transitive group $G$ is said to have the \emph{Erd\H{o}sKoRado (EKR) property} if any intersecting set of $G$ has size at most $\frac{G}{\Omega}$.
The alternating group $Alt(4)$ acting on the six $2$subsets of $\{1,2,3,4\}$ is an example of groups without the EKR property. Hence, transitive groups need not have the EKR property. Given a transitive group $G\leq \sym(\Omega)$, we are interested in finding the size and structure of the largest intersecting sets in $G$. In this talk, we will give an overview of the EKRtheory for transitive groups and present some recent development in this area.
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Let $\Omega$ be a finite set and $G$ be a permutation group on it.
A subset $A$ of $G$ is \textit{intersecting} if for every $\delta,~\tau \in A$, they agree at some points, i.e. there exists $x \in \Omega$ such that $\delta(x)=\tau(x)$.
In this talk, I will give an analog of the classical Erd\H{o}s–Ko–Rado theorem for intersecting sets of a group. I will present a history and overview of some of the results that have been proved on this subject. Finally, I will discuss some of my results about intersecting sets of the general linear group and its subgroups.
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Let G be a finite group and let P(G, s) be the probability that an stuple of elements in G generate G. Due to Hall, there is a finite Dirichlet series expression for P(G, s), obtained by using the principle of Möbius inversion on partially ordered sets. Brown defined an analogous function P(L, s) for finite lattices, ultimately showing that P(C(G), s+1) = P(G, s), where C(G) is the coset lattice of the group G, that is, P(G, s) only depends on the coset lattice of G.
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The repairing problem is a recently discovered combinatorial problem concerning Dyck words. We have first identified the repairing problem when studying an open question in automata theory, the complexity of translation of onecounter automata (OCA) on finite words into Parikhequivalent nondeterministic finite automata (NFA). But it appears that the repairing problem has natural connections with other combinatorial problems arising in analysis of weak models of computation (e.g., blackandwhite pebble games). We hope that more relations will be discovered in future.
In the talk I will define the problem and give a survey of known results about it.
This is joint work with D. Chistikov.
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A vertex in a graph is avoidable if every induced path on three vertices with middle vertex is contained in an induced cycle. Dirac's classical result from 1961 on the existence of simplicial vertices in chordal graphs is equivalent to the statement that every chordal graph has an avoidable vertex. Beisegel, Chudovsky, Gurvich, Milani\v{c}, and Servatius (2019) generalized the notion of avoidable vertices to \emph{avoidable paths}, and conjectured that every graph that contains an induced vertex path also contains an avoidable induced vertex path; they proved the result for . The case was known much earlier, due to a work of Ohtsuki, Cheung, and Fujisawa in 1976. The conjecture was proved for all in 2020 by Bonamy, Defrain, Hatzel, and Thiebaut. This result generalizes the mentioned results regarding avoidable vertices, as well as a result by Chv\'atal, Rusu, and Sritharan (2002) suggested by West on the existence of simplicial vertex paths in graphs excluding induced cycles of length at least .
In this talk we discuss an adaptation of the approach by Bonamy et al.~from a reconfiguration point of view. We say that two induced vertex paths are \emph{shifts} of each other if their union is an induced path with vertices and show that in every graph, every induced path can be shifted to an avoidable one. We also present an analogous result about paths that are not necessarily induced, where an efficient reconfiguration sequence relies on the properties of depthfirst search trees.
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Let G denote a distancebiregular graph with bipartite parts Y and Y’. Let D denote the eccentricity of vertices in Y. Given a vertex z, let \Gamma_i(z) denote the set of all vertices which are at distance i from z. For vertices x and y, let \Gamma_{i,j}(x,y) denote the collection of all vertices which are at distance i from x and at distance j from y.
In this talk, we will show necessary and sufficient conditions on the intersection array of G for which the given graph has one of the following two combinatorial structures:

for all i (1 \leq i \leq D2) and for all x\in Y, y\in \G_2(x) and z \in \G_{i,i}(x,y) the number of vertices in \G_{1,1}(x,y) which are at distance i1 from z is independent of the choice of x,y and z.

for all i (1 \leq i \leq D1) and for all x\in Y, y\in \G_2(x) and z \in \G_{i,i}(x,y) the number of vertices in \G_{1,1}(x,y) which are at distance i1 from z is independent of the choice of x,y and z.
Distancebiregular graphs with the previous combinatorial structures are called almost 2Yhomogeneous and 2Yhomogeneous, respectively. Several examples will also be presented. This is joint work with Safet Penjić.
Let G=(V,E) be a finite undirected graph with vertex set V(G) of order V(G)=n and edge set E(G) of size E(G)=m. Let d_{1}\geq d_{2}\geq...\geq d_{n} be the degree sequence of the graph G.
A clique in a graph G is a complete subgraph of G. A clique is called maximum if it has maximum cardinality.
The clique number of a graph G, denoted \omega(G), is the order of a maximum clique of G.
In 1907 Mantel proved that a trianglefree graph with n vertices can contain at most $lfloor \frac{n^{2}}{4}\rfloor edges. In 1941 Tur\' an generalized Mantel's result to graphs not containing cliques of size r by proving that graphs of order n that contain no induced K_{r} have at most (1\frac{1}{r1}) \frac{n^{2}}{2} edges.
In this talk, we present new lower bounds for the clique number \omega(G). Moreover, we obtain a new bound for the maximum number of edges in a K_{r}free graph G of order n, with minimum degree d_{n}, and
maximum degree d_{1}.
The results are based on elementary inequalities applied to the degree sequence d_{1}\geq d_{2}\geq\ldots \geq d_{n}.
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In the literature, one can find at least three different genus parameters associated with a finite group: genus, symmetric genus, and strong symmetric genus. While the genus of a group is defined in terms of the (undirected, nonedgecolored) Cayley graphs, plain graphs are not adequate for modeling symmetric and strongly symmetric embeddings and thus cannot be used directly for determining the symmetric and strong symmetric genus of a group. We propose (generalized) action graphs to model such embeddings. Although action graphs are a wider class of edgecolored, partially directed graphs than Cayley color (di)graphs, the idea of symmetric and strongly symmetric embedding can be applied to them. In addition, we present some applications of action graphs.
This is joint work with Thomas W. Tucker.
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Motivated by the problems appearing in the theory of experimental designs, Bose and Mesner introduced in 1959 a special class of matrix algebras, known nowadays as BoseMesner algebras of symmetric association schemes. In the same year, Shah published the paper where he proposed a more general idea: to replace the standard matrix product with the Jordan product. So, in fact, he introduced the objects called later Jordan schemes by Cameron. While the ideas of Bose and Mesner led to a new direction in algebraic graph theory called later algebraic combinatorics by Bannai and Ito, Shah's idea was not developed at all. Only in 2004 Shah's approach was analyzed by Bailey. She observed that the symmetrization of any association scheme is a Jordan scheme, which led to the following question posed by Cameron: "Are there any others?". In my talk, I'm going to present some constructions of Jordan schemes that provide an affirmative answer to Cameron's question.
This is joint work with M. Klin and Sven Reichard.
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A cyclic coloring of a plane graph is a vertex coloring in which all vertices incident with the same face receive distinct colors.
It is conjectured that every plane graph with maximum face size $\Delta^*$ admits a cyclic edgecoloring with at most $\lfloor 3\Delta^*/2 \rfloor$ colors. Since in the case of plane triangulations this coloring corresponds to a proper coloring, the Four Color Theorem implies the conjecture for $\Delta^* = 3$.
As a generalization of cyclic coloring, a $k$facial coloring was introduced, where vertices at facial distance at most $k$ receive distinct colors. An open conjecture states that every plane graph admits a $k$facial coloring with $3k + 1$ colors.
Similarly, an $\ell$facial edgecoloring of a plane graph is a coloring of its edges such that any two edges at distance at most $\ell$ on a boundary walk of any face receive distinct colors.
One can see that this is a more restricted version of the $k$facial coloring by taking the medial graph $M(G)$ of a plane graph $G$.
However, there exist graphs that require $3\ell + 1$ colors for an $\ell$facial edgecoloring. Therefore it is also conjectured that $3\ell + 1$ colors suffice for an $\ell$facial edgecoloring of any plane graph.
While the cases with $\ell = 1$ and $\ell = 2$ are already established, the general case is still wide open.
In our talk, we give a short history of the topic and present a proof of the case $\ell = 3$.\\
This is a joint work with Borut Lu\v{z}ar.
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This paper discusses the political donations  public procurement interplay. It rests on a unique and comprehensive handcollected firmbytender microlevel dataset that enables the assessment of partisan favouritism in procuring goods, services and work by the Croatian government in the 20122018 period. Main results show that (i) political donations pay off and a ten percent increase in political donations leads to an increase in public procurement revenues of 5.7%; (ii) political disloyalty, i.e. switching donations from centreright to centreleft parties or vice versa, does not reimburse; (iii) big firms in Croatia are big enough to bid lower prices and/or contract better terms, such that they don’t need favouritism in public procurement awards; and (iv) political contributions expost election (20162018) increase procurement revenues of donating firms by 27%, and firms connected to the losing party exhibit a drop in procurement revenues of more than 12% compared to the exante elections.
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For a graph G, and two distinct vertices u and v of G, let n_{G}(u,v) be the number of vertices of G that are closer in G to u than to v. Miklavi\v{c} and \v{S}parl (arXiv:2011.01635v1) define the distanceunbalancedness {uB}(G) of G as the sum of n_{G}(u,v)n_{G}(v,u) over all unordered pairs of distinct vertices u and v of G. For positive integers n up to 15, they determine the trees T of fixed order n with the smallest and the largest values of { uB}(T), respectively. While the smallest value is achieved by the star K_{1,n1} for these n, the structure of the trees maximizing the distanceunbalancedness remained unclear. For n up to 15 at least, all these trees were subdivided stars. Contributing to problems posed by Miklavi\v{c} and \v{S}parl, we show that stars minimize distanceunbalancedness among all trees of a given order, that
and that
where S(n_{1},…,n_{k}) is the subdivided star such that removing its center vertex leaves paths of orders n_{1},…,n_{k}.
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Computeraided geometric design (CAGD) deals with the mathematical description, and computational aspects of geometric objects, such as parametric curves and surfaces. It is a field of mathematical nature with relevant use in computer science and engineering. Approximation theory studies the process of approximating general functions by simple functions such as polynomials or splines. Therefore, it plays a central role in the analysis of numerical methods, particularly in approximation of partial differential equations. During the lecture, I will show how my research interests connect the fields of Computeraided geometric design and Approximation theory. The following two research topics, in which I have been most active in the last decade, will be briefly presented. Parameterization of curves and surfaces are basic concepts in CAGD. In several applications, it is desirable for these curves and surfaces to have some particular properties, such as polynomial arclength and rational offsets. A special class of curves that satisfies these requirements are Pythagoreanhodograph curves, of which the first part of my talk will be devoted. In the second part, we will get acquainted with a recent method for numerical solution of partial differential equations, i.e., Isogeometric Analysis. The main advantage of this method is in the use of the same standard CAGD spline functions both for describing the geometry and for the numerical simulation of partial differential equations. The increased smoothness of the spline functions compared to traditional finite elements allows for improved stability and convergence properties.
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We often observe that people help strangers in real life. Such altruistic behaviour is puzzling for economics and biology because it promotes the welfare of another person at a cost to oneself. It is also difficult to explain it by longterm strategic motivations when the recipient is a stranger who may not be able to return a favour. Reallife evidence does not offer many opportunities to learn about the motivations behind individual altruism, unfortunately.
In this project, we instead investigate reciprocal altruism in a laboratory experiment with people playing a longterm economic game of indirect reciprocity. This experiment provides sufficiently detailed data about motivations for altruism to facilitate the classification of almost 90% of participants into several theoretically feasible strategies. For this, we apply a recently developed statistical method to our indirect reciprocity experiment. We compare the resulting classification to the classifications of three other existing methods in the literature and demonstrate that it is the closest to a consensus measure. We then show how the other three existing methods ignore a learning strategy that is used by almost half of the subjects in one of our experimental treatments. Finally, we compare the strategy classification to people's selfreports and show that these are a very unreliable source of data about individual motivations for altruism.
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Let Γ denote an undirected, connected, regular graph with vertex set X, adjacency matrix A, and d+1 distinct eigenvalues. Let {\cal A}={\cal A}(Γ) denote the subalgebra of Mat_X(C) generated by A. We refer to {\cal A} as the {\em adjacency algebra} of Γ. In this talk, we investigate the algebraic and combinatorial structure of Γ for which the adjacency algebra {\cal A} is closed under Hadamard multiplication. In particular, under this simple assumption, we show the following: (i) {\cal A} has a standard basis {I,F_1,…,F_d}; (ii) for every vertex there exists identical distancefaithful intersection diagram of Γ with d+1 cells; (iii) the graph Γ is quotientpolynomial; and (iv) if we pick F∈{I,F_1,…,F_d} then F has d+1 distinct eigenvalues if and only if span{I,F_1,…,F_d}=span{I,F,…,
This is joint work with Miquel À. Fiol.
This talk is based on one part of the preprint available at https://arxiv.org/abs/2009.
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There are two standard ways to shuffle a deck of cards, the in and out shuffles. For the in shuffle, divide the deck into two piles, hold one pile in each hand and then perfectly interlace the piles, with the top card from the left hand pile being on top of the resulting stack of cards. For the out shuffle, the top card from the right hand pile ends up on top of the resulting stack.
Standard card tricks are based on knowing what permutations of the deck of cards may be achieved just by performing the in and out shuffles. Mathematicians answer this question by solving the problem of what permutation group is generated by these two shuffles. Diaconis, Graham and Kantor were the first to solve this problem in full generality  for decks of size 2*n. The answer is usually “as big as possible”, but with some rather beautiful and surprising exceptions. In this talk, I’ll explain how the number of permutations is limited, and give some hints about how to obtain different permutations of the deck. I’ll also present a more general question about a “many handed dealer” who shuffles k*n cards divided into k piles.
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I will present a deterministic model for disease transmission dynamics including diagnosis of symptomatic individuals and contact tracing. The model is structured by time since infection and formulated in terms of the individual disease rates and the parameters characterising diagnosis and contact tracing processes. By incorporating a mechanistic formulation of the processes at the individual level, we obtain an integral equation (delayed in calendar time and advanced in the time since infection) for the probability that an infected individual is detected and isolated at any point in time. This is then coupled with a renewal equation for the total incidence to form a closed system describing the transmission dynamics involving contact tracing. After presenting the derivation of the model, I will conclude with some applications of public health relevance, especially in the context of the ongoing COVID19 pandemic.
Joint work with Lorenzo Pellis (University of Manchester), Nicholas H Ogden (PHAC, Public Health Agency of Canada) and Jianhong Wu (York University).
Reference: Scarabel F, Pellis L, Ogden NH, Wu J. A renewal equation model to assess roles and limitations of contact tracing for disease outbreak control, available on medRxiv: https://doi.org/10.1101/2020.1
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An undirected graph G ddegenerate if every subgraph of G has a vertex of degree at most d, and the degeneracy is the minimum d such that G is ddegenerate. By the classical theorem of Erdös and Gallai from 1959, every graph of degeneracy d>1 contains a cycle of length at least d+1. The proof of Erdös and Gallai is constructive and can be turned into a polynomial time algorithm constructing a cycle of length at least d+1. But can we decide in polynomial time whether a graph contains a cycle of length at least d+2? An easy reduction from Hamiltonian Cycle provides a negative answer to this question: Deciding whether a graph has a cycle of length at least d+2 is NPcomplete. Surprisingly, the complexity of the problem changes drastically when the input graph is 2connected. In this case we prove that deciding whether G contains a cycle of length at least d+k can be done in time 2^{O(k)}V(G)^{O(1)}. Further, we briefly consider similar problem arising from the classical result of Dirac from 1952 that every 2connected nvertex graph has a cycle with at least min{2\delta(G),n} vertices.
The talk is based on the joint work with Fedor V. Fomin, Daniel Lokshtanov, Fahad Panolan, Saket Saurabh, Meirav Zehavi, Danil Sagunov, and Kirill Simonov.
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It is known that a Cayley digraph $\Cay(A,S)$ of an abelian group $A$ is isomorphic to a nontrivial wreath product if and only if there is a proper nontrivial subgroup $B\le A$ such that $S\setminus B$ is a union of cosets of $B$ in $A$. We generalize this result to Cayley digraphs $\Cay(G,S)$ to nonabelian groups $G$ by showing that such a digraph is isomorphic to a nontrivial wreath product if and only if there is a proper nontrivial subgroup $H\le G$ such that $S\setminus H$ is a union of double cosets of $H$ in $G$. This result is proven in the more general situation of a double coset digraph (also known as a Sabidussi coset digraph.) We then give applications of this result which include showing the problem of determining automorphism groups of vertextransitive digraphs is equivalent to the problem of determining automorphism groups of Cayley digraphs, and extending the definition of generalized wreath product digraphs to double coset digraphs of all groups $G$.
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