Non-linear interaction in random matrix models of RNA
Itty Garg, Pradeep Bhadola, N. Deo

TL;DR
This paper introduces a non-linear interaction in a random matrix model of homo-RNA, analyzing its effects on partition function asymptotics, structural exponents, and thermodynamic behavior across different matrix sizes.
Contribution
It presents a novel non-linear Penner type interaction in the RNA matrix model and explores its impact on structural and thermodynamic properties.
Findings
Interaction doubles the base coupling constant v
Power law exponents for structures are altered at small N
Specific heat exhibits a double peak at N=1 and low temperature
Abstract
A non-linear Penner type interaction is introduced and studied in the random matrix model of homo-RNA. The asymptotics in length of the partition function is discussed for small and large (size of matrix). The interaction doubles the coupling () between the bases and the dependence of the combinatoric factor on () is found. For small , the effect of interaction changes the power law exponents for the secondary and tertiary structures. The specific heat shows different analytical behavior in the two regions of , with a peculiar double peak in its second derivative for N=1 at low temperature. Tapping the model indicates the presence of multiple solutions.
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Taxonomy
TopicsDNA and Nucleic Acid Chemistry · RNA and protein synthesis mechanisms · Protein Structure and Dynamics
