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Summary
This summary is machine-generated.

This study investigates a lattice random walker that starves after a certain number of steps without food. The walker's average lifetime depends on the spatial dimension, showing distinct behaviors in 1D, 2D, and higher dimensions.

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Area of Science:

  • Statistical Physics
  • Stochastic Processes
  • Random Walks

Background:

  • Lattice random walks are fundamental models in statistical physics.
  • Understanding walker behavior under resource constraints, like food, is crucial for various applications.

Purpose of the Study:

  • To analyze the starvation dynamics of a lattice random walker with limited food consumption capacity.
  • To determine how the spatial dimension influences the average lifetime and exploration patterns of the walker.

Main Methods:

  • Mathematical modeling of a lattice random walker with a food-dependent step limit.
  • Analytical calculations of the average lifetime (⟨τ⟩) in different spatial dimensions (d).

Main Results:

  • In 1D, average lifetime ⟨τ⟩ is proportional to the step limit S.
  • For d>2, ⟨τ⟩ exhibits exponential dependence on S (⟨τ⟩≃exp(S^{ω})), suggesting an infinite upper critical dimension.
  • In 2D, ⟨τ⟩ scales as S^{z} with z≈2.

Conclusions:

  • The spatial dimension significantly alters the starvation dynamics and lifetime of the random walker.
  • Long-lived walks tend to stay near food sources, exploring complex, ramified regions.
  • The distinct site visitation distribution deviates from single-parameter scaling.