In recent years, DAG-based distributed ledger systems have emerged as a promising approach to improving blockchain scalability. However, existing studies largely focus on specific protocols or simulation-based comparisons, leaving their structural properties under stochastic growth insufficiently understood. This research models DAGs as stochastic dynamic systems, investigates the evolution of key metrics such as transaction height, growth rate, and node density, and develops an extensible theoretical framework for systematic analysis.