arXiv subjects

Hemanshu Kaul

Publications and source records attributed to Hemanshu Kaul.

39 records · Page 3Linked to original sources

arXiv2018

Total Equitable List Coloring

An equitable coloring is a proper coloring of a graph such that the sizes of the color classes differ by at most one. A graph $G$ is equitably $k$-colorable if there exists an equitable coloring of $G$ which uses $k$ colors, each one appearing on either $\lfloor |V(G)|/k \rfloor$ or $\lceil |V(G)|/k \rceil$ vertices of $G$. In 1994, Fu conjectured that for any simple graph $G$, the total graph of $G$, $T(G)$, is equitably $k$-colorable whenever $k \geq \max\{χ(T(G)), Δ(G)+2\}$ where $χ(T(G))$ is the chromatic number of the total graph of $G$ and $Δ(G)$ is the maximum degree of $G$. We investigate the list coloring analogue. List coloring requires each vertex $v$ to be colored from a specified list $L(v)$ of colors. A graph is $k$-choosable if it has a proper list coloring whenever vertices have lists of size $k$. A graph is equitably $k$-choosable if it has a proper list coloring whenever vertices have lists of size $k$, where each color is used on at most $\lceil |V(G)|/k \rceil$ vertices. In the spirit of Fu's conjecture, we conjecture that for any simple graph $G$, $T(G)$ is equitably $k$-choosable whenever $k \geq \max\{χ_l(T(G)), Δ(G)+2\}$ where $χ_l(T(G))$ is the list chromatic number of $T(G)$. We prove this conjecture for all graphs satisfying $Δ(G) \leq 2$ while also studying the related question of the equitable choosability of powers of paths and cycles.

math.CO↗

arXiv2018

On the Alon-Tarsi Number and Chromatic-choosability of Cartesian Products of Graphs

We study the list chromatic number of Cartesian products of graphs through the Alon-Tarsi number as defined by Jensen and Toft (1995) in their seminal book on graph coloring problems. The Alon-Tarsi number of $G$, $AT(G)$, is the smallest $k$ for which there is an orientation, $D$, of $G$ with max indegree $k\!-\!1$ such that the number of even and odd circulations contained in $D$ are different. It is known that $χ(G) \leq χ_\ell(G) \leq χ_p(G) \leq AT(G)$, where $χ(G)$ is the chromatic number, $χ_\ell(G)$ is the list chromatic number, and $χ_p(G)$ is the paint number of $G$. In this paper we find families of graphs $G$ and $H$ such that $χ(G \square H) = AT(G \square H)$, reducing this sequence of inequalities to equality. We show that the Alon-Tarsi number of the Cartesian product of an odd cycle and a path is always equal to 3. This result is then extended to show that if $G$ is an odd cycle or a complete graph and $H$ is a graph on at least two vertices containing the Hamilton path $w_1, w_2, \ldots, w_n$ such that for each $i$, $w_i$ has a most $k$ neighbors among $w_1, w_2, \ldots, w_{i-1}$, then $AT(G \square H) \leq Δ(G)+k$ where $Δ(G)$ is the maximum degree of $G$. We discuss other extensions for $G \square H$, where $G$ is such that $V(G)$ can be partitioned into odd cycles and complete graphs, and $H$ is a graph containing a Hamiltonian path. We apply these bounds to get chromatic-choosable Cartesian products, in fact we show that these families of graphs have $χ(G) = AT(G)$, improving previously known bounds.

math.CO↗

arXiv2013

Approximating Quadratic 0-1 Programming via SOCP

We consider the problem of approximating Quadratic O-1 Integer Programs with bounded number of constraints and non-negative constraint matrix entries, which we term as PIQP. We describe and analyze a randomized algorithm based on a program with hyperbolic constraints (a Second-Order Cone Programming -SOCP- formulation) that achieves an approximation ratio of $O(a_{max} \frac{n}{β(n)})$, where $a_{max}$ is the maximum size of an entry in the constraint matrix and $β(n) \leq \min_i{W_i} $, where $W_i$ are the constant terms that define the constraint inequalities. We note that by appropriately choosing $β(n)$ the randomized algorithm, when combined with other algorithms that achieve good approximations for smaller values of $ W_i$, allows better algorithms for the complete range of $W_i$. This, together with a greedy algorithm, provides a $O^*(a_{max} n^{1/2} )$ factor approximation, where $O^*$ hides logarithmic terms. Our solution is achieved by a randomization of the optimal solution to the relaxed version of the hyperbolic program. We show that this solution provides the approximation bounds using concentration bounds provided by Chernoff-Hoeffding and Kim-Vu.

cs.CC↗