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Analysis reveals weak error estimates of the backward Euler method in monotone jump-diffusion SODEs, indicating potential convergence.
We first derive the exponential ergodicity of the stochastic theta method (STM) with θ∈ (1/2,1] for monotone jump-diffusion stochastic ordinary differential equations (SODEs) under a dissipative condition. Then we establish the weak error estimates of the backward Euler method (BEM), corresponding to the STM with $θ=1$. In particular, the time-independent estimate for the BEM in the jump-free case yields a one-order convergence rate between the exact and numerical invariant measures, answering a question left in { Z. Liu and Z. Liu, J. Sci. Comput. (2025) 103:87}.
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