Rakesh Jana
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Rakesh Jana has a total of 8 co-authors. Here are the top co-authors by number of shared publications:
- Sivaramakrishnan Sivasubramanian
Department of Mathematics Indian Institute of Technology 400076 Bombay Mumbai India
3 shared publications - Mukesh Kumar Nagar
Department of Mathematics Indian Institute of Technology 400 076 Bombay Mumbai India
2 shared publications - Ravindra Bhalchandra Bapat
Indian Statistical Institute
2 shared publications Ali Azimi
Xiamen Univ Malaysia, Dept Math & Appl Math, Sepang 43900, Selangor Darul, Malaysia
1 shared publication- Ali Azimi
University of Neyshabur
1 shared publication - Iswar Mahato
Department of Mathematics, Indian Institute of Technology Bombay, Mumbai, India
1 shared publication
Latest Publications
- 3 April 2025
- Published by Springer Nature in Computational and Applied Mathematics
- Vol. 44 (5) , 1-19
Unimodality and peak location of the characteristic polynomials of two distance matrices of trees
- 3 April 2025
- Published by Springer Nature in Computational and Applied Mathematics
- Vol. 44 (5) , 1-19
Unimodality and peak location of the characteristic polynomials of two distance matrices of trees
- 27 March 2024
- Published by Elsevier in Linear Algebra and its Applications
- Vol. 691, 133-150
The maximum four point condition matrix of a tree
- 27 March 2024
- Published by Elsevier in Linear Algebra and its Applications
- Vol. 691, 133-150
The maximum four point condition matrix of a tree
- Open Access
- 14 February 2024
- Published by American Journal of Combinatorics in American Journal of Combinatorics
- Vol. 3, 13–21
On the Min4PC Matrix of a Tree
The Four point condition (abbreviated as 4PC) is a condition used to test if a given distance matrix arises from shortest path distances on trees. From a tree \(T\), Bapat and Sivasubramanian defined a matrix \(\operatorname{Min4PC}_T\) based on this condition. They also gave a basis \(B\) for the row space of \(\operatorname{Min4PC}_T\) and determined its Smith Normal Form. In this paper, we consider the matrix \(\operatorname{Min4PC}_T[B,B]\) restricted to a basis \(B\) and give an explicit inverse for it. It is known that the distance matrix \(D_T\) of a tree \(T\), is invertible and that its inverse is a rank-one update of its scaled Laplacian. Our inverse has a similar form and is a rank-one update of a Laplacian like matrix.- 14 February 2024
- Published by American Journal of Combinatorics in American Journal of Combinatorics
- Vol. 3, 13–21
Open AccessOn the Min4PC Matrix of a Tree
The Four point condition (abbreviated as 4PC) is a condition used to test if a given distance matrix arises from shortest path distances on trees. From a tree \(T\), Bapat and Sivasubramanian defined a matrix \(\operatorname{Min4PC}_T\) based on this condition. They also gave a basis \(B\) for the row space of \(\operatorname{Min4PC}_T\) and determined its Smith Normal Form. In this paper, we consider the matrix \(\operatorname{Min4PC}_T[B,B]\) restricted to a basis \(B\) and give an explicit inverse for it. It is known that the distance matrix \(D_T\) of a tree \(T\), is invertible and that its inverse is a rank-one update of its scaled Laplacian. Our inverse has a similar form and is a rank-one update of a Laplacian like matrix. - Open Access
Inverse Formulae for $q$-analogues of Bipartite Distance Matrix
We consider two distinct $q$-analogues of the bipartite distance matrix, namely the $q$-bipartite distance matrix and the exponential distance matrix. We provide formulae of the inverse for these matrices, which extend the existing results for the bipartite distance matrix. These investigations lead us to introduce a $q$-analogue version of the bipartite Laplacian matrix.
Open AccessInverse Formulae for $q$-analogues of Bipartite Distance Matrix
We consider two distinct $q$-analogues of the bipartite distance matrix, namely the $q$-bipartite distance matrix and the exponential distance matrix. We provide formulae of the inverse for these matrices, which extend the existing results for the bipartite distance matrix. These investigations lead us to introduce a $q$-analogue version of the bipartite Laplacian matrix.
- Open Access
- 1 January 2023
- Published by Walter de Gruyter GmbH in Special Matrices
- Vol. 11 (1)
The bipartite Laplacian matrix of a nonsingular tree
For a bipartite graph, the complete adjacency matrix is not necessary to display its adjacency information. In 1985, Godsil used a smaller size matrix to represent this, known as the bipartite adjacency matrix. Recently, the bipartite distance matrix of a tree with perfect matching was introduced as a concept similar to the bipartite adjacency matrix. It has been observed that these matrices are nonsingular, and a combinatorial formula for their determinants has been derived. In this article, we provide a combinatorial description of the inverse of the bipartite distance matrix and establish identities similar to some well-known identities. The study leads us to an unexpected generalization of the usual Laplacian matrix of a tree. This generalized Laplacian matrix, which we call the bipartite Laplacian matrix, is usually not symmetric, but it shares many properties with the usual Laplacian matrix. In addition, we study some of the fundamental properties of the bipartite Laplacian matrix and compare them with those of the usual Laplacian matrix.
- 1 January 2023
- Published by Walter de Gruyter GmbH in Special Matrices
- Vol. 11 (1)
Open AccessThe bipartite Laplacian matrix of a nonsingular tree
For a bipartite graph, the complete adjacency matrix is not necessary to display its adjacency information. In 1985, Godsil used a smaller size matrix to represent this, known as the bipartite adjacency matrix. Recently, the bipartite distance matrix of a tree with perfect matching was introduced as a concept similar to the bipartite adjacency matrix. It has been observed that these matrices are nonsingular, and a combinatorial formula for their determinants has been derived. In this article, we provide a combinatorial description of the inverse of the bipartite distance matrix and establish identities similar to some well-known identities. The study leads us to an unexpected generalization of the usual Laplacian matrix of a tree. This generalized Laplacian matrix, which we call the bipartite Laplacian matrix, is usually not symmetric, but it shares many properties with the usual Laplacian matrix. In addition, we study some of the fundamental properties of the bipartite Laplacian matrix and compare them with those of the usual Laplacian matrix.
- 1 December 2021
- Published by Elsevier in Linear Algebra and its Applications
- Vol. 631, 254-281
The bipartite distance matrix of a nonsingular tree
- 1 December 2021
- Published by Elsevier in Linear Algebra and its Applications
- Vol. 631, 254-281
The bipartite distance matrix of a nonsingular tree