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HLXiON δ Ω Intent Σ Logic Ψ Synth Π Reason Γ Memory Processing: math.CO
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The search results for "math.CO" reveal a diverse range of mathematical studies. Key highlights include the introduction of a "biased derivative" to better model dynamical systems related to bubbles, an exploration of political behavior through a simple mathematical model, and an investigation into algorithmic music composition focusing on metamathematical foundations. Additionally, there's an extension of Tsallis' non-extensive entropy to account for affinities between microstates, and a study on the computational resolution limit in imaging, addressing challenges in resolving point sources from band-limited data.
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arxiv.org
On Mathematics of Bubbles in Dynamical Systems

A new concept called biased derivative is proposed. It has a potential to better understand and model some aspects of dynamical systems associated with creating bubbles.…

eess.SY math.DS
arxiv.org
A Simple Mathematical Model of Politics (I)

Politics is everywhere. In this paper, I propose a simple model to demonstrate political behavior in human society.…

cs.SI math.GN math.PR
arxiv.org
Metamathematics of Algorithmic Composition

This essay recounts my personal journey towards a deeper understanding of the mathematical foundations of algorithmic music composition. I do not spend much time on specific mathematical algorithms used by composers; rather, I focus on general issues such as fundamental limits and possibilities, by …

cs.SD eess.AS
arxiv.org
Affinity-based extension of non-extensive entropy and statistical mechanics

Tsallis' non-extensive entropy is extended to incorporate the dependence on affinities between the microstates of a system. At the core of our construction of the extended entropy ($\mathcal{H}$) is the concept of the effective number of dissimilar states, termed the effective diversity ($\mathitΔ$…

q-bio.QM q-bio.PE
arxiv.org
Mathematical Theory of Computational Resolution Limit in Multi-dimensions

Resolving a linear combination of point sources from their band-limited Fourier data is a fundamental problem in imaging and signal processing. With the incomplete Fourier data and the inevitable noise in the measurement, there is a fundamental limit on the separation distance between point sources …

eess.IV eess.SP
arxiv.org
Compressive radio-interferometric sensing with random beamforming as rank-one signal covariance projections

Radio-interferometry (RI) observes the sky at unprecedented angular resolutions, enabling the study of several far-away galactic objects such as galaxies and black holes. In RI, an array of antennas probes cosmic signals coming from the observed region of the sky. The covariance matrix of the vector…

eess.IV
arxiv.org
Partition function zeros at first-order phase transitions: A general analysis

We present a general, rigorous theory of partition function zeros for lattice spin models depending on one complex parameter. First, we formulate a set of natural assumptions which are verified for a large class of spin models in a companion paper [BBCKK2, math-ph/0304007]. Under these assumptions, …

math-ph math.CV