Łukasz Bożyk
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Łukasz Bożyk has a total of 9 co-authors. Here are the top co-authors by number of shared publications:
- Andrzej Grzesik
Faculty of Mathematics and Computer Science Jagiellonian University Kraków Poland
2 shared publications - Bartłomiej Kielak
Faculty of Mathematics and Computer Science Jagiellonian University Lojasiewicza 6 30-348 Krakow Poland
2 shared publications - Jan Derbisz
Theoretical Computer Science Department, Faculty of Mathematics and Computer Science, Jagiellonian University in Kraków, Kraków, Poland
2 shared publications - Jana Novotná
Faculty of Mathematics and Physics, Charles University, Prague, Czech Republic
2 shared publications - Karolina Okrasa
Faculty of Mathematics, Informatics and Mechanics, University of Warsaw, Warsaw, Poland
2 shared publications - Tomasz Krawczyk
Computer Science Department Faculty of Mathematics and Computer Science Jagiellonian University Kraków Poland
2 shared publications
Latest Publications
- Open Access
- 30 April 2024
- Published by University of Calgary in Contributions to Discrete Mathematics
- Vol. 19 (2) , 20-22
Combinatorial proof of Girard-Waring formula
\noindent The well-known and celebrated identity of Girard (1629) and Waring (1762) states that \[x^n+y^n=\sum_{m=0}^{\lfloor n/2\rfloor}(-1)^m\frac{n}{n-m}\binom{n-m}{m}\left(xy\right)^m\left(x+y\right)^{n-2m}\] and can be easily proven algebraically (see H.W. Gould, The Girard--Waring power sum formulas for symmetric functions and Fibonacci sequences,} Fibonacci Quart. 37 (1999), no. 2, 135--140). In this note, we provide a combinatorial proof of this identity.- 30 April 2024
- Published by University of Calgary in Contributions to Discrete Mathematics
- Vol. 19 (2) , 20-22
Open AccessCombinatorial proof of Girard-Waring formula
\noindent The well-known and celebrated identity of Girard (1629) and Waring (1762) states that \[x^n+y^n=\sum_{m=0}^{\lfloor n/2\rfloor}(-1)^m\frac{n}{n-m}\binom{n-m}{m}\left(xy\right)^m\left(x+y\right)^{n-2m}\] and can be easily proven algebraically (see H.W. Gould, The Girard--Waring power sum formulas for symmetric functions and Fibonacci sequences,} Fibonacci Quart. 37 (1999), no. 2, 135--140). In this note, we provide a combinatorial proof of this identity. - 19 August 2022
- Published by Elsevier in Journal of Combinatorial Theory, Series B
- Vol. 157, 401-428
On objects dual to tree-cut decompositions
- 19 August 2022
- Published by Elsevier in Journal of Combinatorial Theory, Series B
- Vol. 157, 401-428
On objects dual to tree-cut decompositions
- 8 March 2022
- Published by Elsevier in Discrete Mathematics
- Vol. 345 (7)
On the inducibility of oriented graphs on four vertices
- 8 March 2022
- Published by Elsevier in Discrete Mathematics
- Vol. 345 (7)
On the inducibility of oriented graphs on four vertices
- Open Access
On the inducibility of oriented graphs on four vertices
We consider the problem of determining the inducibility (maximum possible asymptotic density of induced copies) of oriented graphs on four vertices. We provide exact values for more than half of the graphs, and very close lower and upper bounds for all the remaining ones. It occurs that, for some graphs, the structure of extremal constructions maximizing density of its induced copies is very sophisticated and complex.
Open AccessOn the inducibility of oriented graphs on four vertices
We consider the problem of determining the inducibility (maximum possible asymptotic density of induced copies) of oriented graphs on four vertices. We provide exact values for more than half of the graphs, and very close lower and upper bounds for all the remaining ones. It occurs that, for some graphs, the structure of extremal constructions maximizing density of its induced copies is very sophisticated and complex.
- Open Access
- 1 February 2022
- Published by Springer Nature in Algorithmica
- Vol. 84 (8) , 2271-2291
Vertex Deletion into Bipartite Permutation Graphs
A permutation graph can be defined as an intersection graph of segments whose endpoints lie on two parallel lines $$\ell _1$$ and $$\ell _2$$ , one on each. A bipartite permutation graph is a permutation graph which is bipartite. In this paper we study the parameterized complexity of the bipartite permutation vertex deletion problem, which asks, for a given n-vertex graph, whether we can remove at most k vertices to obtain a bipartite permutation graph. This problem is $$\mathsf {NP}$$ -complete by the classical result of Lewis and Yannakakis [20]. We analyze the structure of the so-called almost bipartite permutation graphs which may contain holes (large induced cycles) in contrast to bipartite permutation graphs. We exploit the structural properties of the shortest hole in a such graph. We use it to obtain an algorithm for the bipartite permutation vertex deletion problem with running time $${\mathcal {O}}(9^k \cdot n^9)$$ , and also give a polynomial-time 9-approximation algorithm.- 1 February 2022
- Published by Springer Nature in Algorithmica
- Vol. 84 (8) , 2271-2291
Open AccessVertex Deletion into Bipartite Permutation Graphs
A permutation graph can be defined as an intersection graph of segments whose endpoints lie on two parallel lines $$\ell _1$$ and $$\ell _2$$ , one on each. A bipartite permutation graph is a permutation graph which is bipartite. In this paper we study the parameterized complexity of the bipartite permutation vertex deletion problem, which asks, for a given n-vertex graph, whether we can remove at most k vertices to obtain a bipartite permutation graph. This problem is $$\mathsf {NP}$$ -complete by the classical result of Lewis and Yannakakis [20]. We analyze the structure of the so-called almost bipartite permutation graphs which may contain holes (large induced cycles) in contrast to bipartite permutation graphs. We exploit the structural properties of the shortest hole in a such graph. We use it to obtain an algorithm for the bipartite permutation vertex deletion problem with running time $${\mathcal {O}}(9^k \cdot n^9)$$ , and also give a polynomial-time 9-approximation algorithm. - Open Access
Vertex deletion into bipartite permutation graphs
A permutation graph can be defined as an intersection graph of segments whose endpoints lie on two parallel lines $l_1$ and $l_2$, one on each. A bipartite permutation graph is a permutation graph which is bipartite. In this paper we study the parameterized complexity of the bipartite permutation vertex deletion problem, which asks, for a given n-vertex graph, whether we can remove at most k vertices to obtain a bipartite permutation graph. This problem is NP-complete by the classical result of Lewis and Yannakakis. We analyze the structure of the so-called almost bipartite permutation graphs which may contain holes (large induced cycles) in contrast to bipartite permutation graphs. We exploit the structural properties of the shortest hole in a such graph. We use it to obtain an algorithm for the bipartite permutation vertex deletion problem with running time $O(9^k\cdot n^9)$, and also give a polynomial-time 9-approximation algorithm.Open AccessVertex deletion into bipartite permutation graphs
A permutation graph can be defined as an intersection graph of segments whose endpoints lie on two parallel lines $l_1$ and $l_2$, one on each. A bipartite permutation graph is a permutation graph which is bipartite. In this paper we study the parameterized complexity of the bipartite permutation vertex deletion problem, which asks, for a given n-vertex graph, whether we can remove at most k vertices to obtain a bipartite permutation graph. This problem is NP-complete by the classical result of Lewis and Yannakakis. We analyze the structure of the so-called almost bipartite permutation graphs which may contain holes (large induced cycles) in contrast to bipartite permutation graphs. We exploit the structural properties of the shortest hole in a such graph. We use it to obtain an algorithm for the bipartite permutation vertex deletion problem with running time $O(9^k\cdot n^9)$, and also give a polynomial-time 9-approximation algorithm.