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Successive averages and harmonic functions. (English) Zbl 0879.31002

For every \(r>0\) let \(m_r\) be the normalized Lebesgue measure on the ball \(B(0, r)\) in \(\mathbb{R}^d\). This paper is motivated by the following question asked by G. Choquet in 1994: Let \(f\) be a continuous real function on \(\mathbb{R}^d\) and let \(r_1\), \(r_2\), \(r_3\), \(\dots\) be strictly positive real numbers; under what conditions on \(f\) and the sequence \((r_n)\) does \((f\ast m_{r_1}\ast m_{r_2}\ast\cdots\ast m_{r_n})\) converge to a harmonic function?
Among other things, the authors prove the following result. If \(\sum^{\infty}_{n=1}r^2_n=\infty\), then the following holds: (1) for every superharmonic function \(u\) on \(\mathbb{R}^d\) admitting a harmonic minorant the sequence \((u\ast m_{r_1}\ast m_{r_2} \ast\cdots\ast m_{r_n})\) decreases locally uniformly to the greatest harmonic minorant of \(u\); (2) for every continuous \(f\) with comapct support the sequence \((f\ast m_{r_1}\ast m_{r_2}\ast\cdots\ast m_{r_n})\) converges uniformly to zero; and (3) for every bounded \(f\) such that the average \(\int fdm_r\) tends to some real number \(A\) as \(r\rightarrow\infty\), the sequence \((f\ast m_{r_1}\ast m_{r_2}\ast\cdots\ast m_{r_n})\) converges locally uniformly to \(A\).
The paper also contains similar results when \(m_r\) is replaced by more general measures.
Reviewer: R.Song (Ann Arbor)

MSC:

31B05 Harmonic, subharmonic, superharmonic functions in higher dimensions
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References:

[1] Bauer, H., Probability Theory (1996), Berlin: de Gruyter, Berlin · Zbl 0868.60001
[2] Benyamini, Y.; Weit, Y., Functions satisfying the mean value property in the limit, J. Analyse Math, 52, 167-198 (1989) · Zbl 0675.31002
[3] Bliedtner, J.; Hansen, W., Potential Theory—An Analytic and Probabilistic Approach to Balayage (1986), Berlin, Heidelberg, New York, Tokyo: Springer, Berlin, Heidelberg, New York, Tokyo · Zbl 0706.31001
[4] Choquet, G., Successive averages, Potential Theory—ICPT 94, 478-478 (1996), Berlin: Walter de Gruyter, Berlin
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