{'fraction_non_alphanumeric': 0.01499531396438613, 'fraction_numerical': 0.0, 'mean_word_length': 5.2823529411764705, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Elucidating Cell Size Control Mechanisms with Stochastic Hybrid Systems

It is outstanding and intriguing how robustly bacteria can maintain its preferred size despite recurrent rounds of growth and divisions. We model cell size using the stochastic hybrid system framework (SHS), where a cell grows either linearly or exponentially in size over time and random division events are fired at discrete time intervals. We ask for growth and division rates that reproduce the uncorrelated behavior of the added size at division and the newborn cell size in experiments. We provide simple close-form expression of the distribution of key cell cycle events (like the distribution of the size right after division). Furthermore, we propose scenarios (in the form of division rates) in which alternative size control strategies arise, and compare them with those observed in species different from bacteria. Additionally we discuss how division rates might be useful in teasing out biomolecular mechanisms that may explain the cell size control strategies observed in nature.