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Perhaps, they reckoned, it was only economies with comparable levels of investment and worker skills that converged to similar incomes, a phenomenon dubbed "conditional convergence".
Conditional convergence and stability are proved analytically.
We then design and apply a method to detect conditional convergence.
In most popular packages such periodicities are imposed with the hierarchical repetition of periodic boxes, which may give an incorrect answer due to the conditional convergence of some kernel sums.
We extend the fast multipole method to calculate the anisotropic stress field in periodic two-dimensional domains and in doing so address issues associated with the conditional convergence of the summations.
It means conditional convergence exists.
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Based on these conditions, we study the conditional mean convergence and conditional almost sure convergence for randomly weighted sums of random variables.
On the other hand, Cabrera et al. [20] investigated some theorems on conditional mean convergence and conditional almost sure convergence for randomly weighted sums of dependent random variables.
Instead, these results might be interpreted as evidence of conditional beta convergence, where each country is converging to its own steady state in social effort, which is consistent with the persistence of disparities across countries.
We may also interpret this equation as a conditional beta convergence model, where the negative error-correction term is showing the presence of beta convergence and the control variables are giving information about different characteristics (levels and differences) that condition the convergence process to country-specific long-term upper-level equilibriums.
In this section, we study the conditional mean convergence for randomly weighted sums.
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