Nonlinear mechanical response of DNA due to anisotropic bending elasticity.

Eur Phys J E Soft Matter 12:4 (2003) 599-604

Authors:

F Mohammad-Rafiee, R Golestanian

Abstract:

The response of a short DNA segment to bending is studied, taking into account the anisotropy in the bending rigidities caused by the double-helical structure. It is shown that the anisotropy introduces an effective nonlinear twist-bend coupling that can lead to the formation of kinks and modulations in the curvature and/or in the twist, depending on the values of the elastic constants and the imposed deflection angle. The typical wavelength for the modulations, or the distance between the neighboring kinks is found to be set by half of the DNA pitch.

Topological Order and Conformal Quantum Critical Points

(2003)

Authors:

Eddy Ardonne, Paul Fendley, Eduardo Fradkin

Phase separation of a multiple occupancy lattice gas

(2003)

Authors:

Reimar Finken, Jean-Pierre Hansen, Ard Louis

Strings on type IIB pp-wave backgrounds with interacting massive theories on the worldsheet

(2003)

Authors:

Alin Tirziu, Paul Fendley

MIMO capacity through correlated channels in the presence of correlated interferers and noise: A (not so) large N analysis

IEEE Transactions on Information Theory 49:10 (2003) 2545-2561

Authors:

AL Moustakas, SH Simon, AM Sengupta

Abstract:

The use of multiple-antenna arrays in both transmission and reception promises huge increases in the throughput of wireless communication systems. It is therefore important to analyze the capacities of such systems in realistic situations, which may include spatially correlated channels and correlated noise, as well as correlated interferers with known channel at the receiver. Here, we present an approach that provides analytic expressions for the statistics, i.e., the moments of the distribution, of the mutual information of multiple-antenna systems with arbitrary correlations, interferers, and noise. We assume that the channels of the signal and the interference are Gaussian with arbitrary covariance. Although this method is valid formally for large antenna numbers, it produces extremely accurate results even for arrays with as few as two or three antennas. We also develop a method to analytically optimize over the input signal covariance, which enables us to calculate analytic capacities when the transmitter has knowledge of the statistics of the channel (i.e., the channel covariance). In many cases of interest, this capacity is very close to the full closed-loop capacity, in which the transmitter has instantaneous channel knowledge. We apply this analytic approach to a number of examples and we compare our results with simulations to establish the validity of this approach. This method provides a simple tool to analyze the statistics of throughput for arrays of any size. The emphasis of this paper is on elucidating the novel mathematical methods used.