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I. Garg

Publications and source records attributed to I. Garg.

2 recordsLinked to original sources

Scaling, phase transition and genus distribution functions in matrix models of RNA with linear external interactions

A linear external perturbation is introduced in the action of the partition function of the random matrix model of RNA [G. Vernizzi, H. Orland and A. Zee, Phys. Rev. Lett. 94, 168103 (2005)]. It is seen that (i). the perturbation distinguishes between paired and unpaired bases in that there are structural changes, from unpaired and paired base structures ($0 \leq α< 1$) to completely paired base structures ($α=1$), as the perturbation parameter $α$ approaches 1 ($α$ is the ratio of interaction strengths of original and perturbed terms in the action of the partition function), (ii). the genus distributions exhibit small differences for small even and odd lengths $L$, (iii). the partition function of the linear interacting matrix model is related via a scaling formula to the re-scaled partition function of the random matrix model of RNA, (iv). the free energy and specific heat are plotted as functions of $L$, $α$ and temperature $T$ and their first derivative with respect to $α$ is plotted as a function of $α$. The free energy shows a phase transition at $α=1$ for odd (both small and large) lengths and for even lengths the transition at $α=1$ gets sharper and sharper as more pseudoknots are included (that is for large lengths).

q-bio.BM

RNA matrix models with external interactions and their asymptotic behaviour

We study a matrix model of RNA in which an external perturbation acts on n nucleotides of the polymer chain. The effect of the perturbation appears in the exponential generating function of the partition function as a factor $(1-\frac{nα}{L})$ [where $α$ is the ratio of strengths of the original to the perturbed term and L is length of the chain]. The asymptotic behaviour of the genus distribution functions for the extended matrix model are analyzed numerically when (i) $n=L$ and (ii) $n=1$. In these matrix models of RNA, as $nα/L$ is increased from 0 to 1, it is found that the universality of the number of diagrams $a_{L, g}$ at a fixed length L and genus g changes from $3^{L}$ to $(3-\frac{nα}{L})^{L}$ ($2^{L}$ when $nα/L=1$) and the asymptotic expression of the total number of diagrams $\cal N$ at a fixed length L but independent of genus g, changes in the factor $\exp^{\sqrt{L}}$ to $\exp^{(1-\frac{nα}{L})\sqrt{L}}$ ($exp^{0}=1$ when $nα/L=1$)

q-bio.BM