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We consider a harmonic function $u:\mathbb{R}^d \to \mathbb{R}$ $(\Delta u=0).$ Suppose that $$\exists \alpha,\beta \in \mathbb{R},\forall x\in \mathbb{R}^d,u(x)\leq \alpha |x|+\beta.$$

Therefore $u-u(0)$ is linear: $$\exists\lambda\in \mathbb{R}^d,\forall x\in \mathbb{R}^d,u(x)=\langle\lambda,x\rangle+u(0)$$

I am looking for a probabilistic proof of this fact

We note that Liouville's theorem for bounded harmonic functions is a particular case, where we can use Ito's formula, martingale convergence and Blumenthal's $0$-$1$ law to prove it.

How to use probabilistic techniques to prove the above claim? (To be noted that it's sufficient to prove that partial derivatives of $u$ are constant)

Other proofs are also appreciated.

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    $\begingroup$ Do you assume only a one-side estimate? $\endgroup$ Commented Aug 14, 2023 at 12:00
  • $\begingroup$ Yes, that's correct $\endgroup$
    – mathex
    Commented Aug 14, 2023 at 14:06
  • $\begingroup$ See Theorem II here for a quick proof by hand: ams.org/journals/proc/1988-102-04/S0002-9939-1988-0934865-6/… (This does not literally apply to your setting since your bound is not a polynomial, but for example one can use the result to conclude that $u$ is a polynomial of degree at most $2$ and then prove the full statement.) $\endgroup$ Commented Aug 14, 2023 at 20:53
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    $\begingroup$ this site is more about research questions. For textbook exercises it is better to post in math.stackexchange.com $\endgroup$ Commented Aug 15, 2023 at 19:26
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    $\begingroup$ @mathex cross-posting is not encouraged unless at least a week passes by. It is good to include the link from your other post to prevent people from doing double work. Here it is math.stackexchange.com/questions/4751896/… $\endgroup$ Commented Aug 15, 2023 at 22:08

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This is a standard exercise eg. see "Harmonic Function bounded by a linear function" where a similar proof works here too. It is immediate using the Cauchy-estimate.

In terms of probabilistic proof, at least we get to use Liouville theorem which has probabilistic proof. But I doubt one can do be better since one needs to deal with derivatives and the Cauchy-estimate.

As mentioned in the comments we will follow the hint of the exercise 4 4.8 in Brownian Motion and Classical Potential Theory by M.Rao (1977) via the mean value property.

To be clear the author made a typo that he corrected in his picture i.e. $A_{t}=B_{R-t}(x+th)$ and not $A_{t}=B_{R}(x+th)$. We again let $A:=B_{R}(x)$. Therefore

$$\frac{u(x+th)-u(x)}{t}=\frac{1}{t}\left(\frac{1}{|A_{t}|}\int_{A_{t}}u(y)dy-\frac{1}{|A|}\int_{A}u(y)dy\right)$$

$$=\frac{1}{t}\left(\frac{1}{|A_{t}|}-\frac{1}{|A|}\right)\int_{A_{t}}u(y)dy-\frac{1}{t|A|}\int_{A\setminus A_{t}}u(y)dy.$$

We have $|A_{t}|=c(R-t)^{2}$ and $|A|=cR^{2}$. We use the bound on the second term and mean-value on the first

$$\geq \frac{1}{t}\left(\frac{1}{|A_{t}|}-\frac{1}{|A|}\right)|A_{t}|u(x+th)-\frac{1}{t|A|}\int_{A\setminus A_{t}}\alpha |y|+\beta dy.$$

The first term we just a derivative in $t$. For the second term, we use $\int_{A}|y|=c_{n}R^{3}=|A|R$. After taking $t\to 0$ we are left with $$\geq c_{1}\frac{u(x)}{R}-c_{2}\alpha.$$

By taking $R\to +\infty$, we get that the partial derivative is lower bounded. Since it is also harmonic, we can apply Liouville ("An entire function whose real part is bounded above must be constant." for $Ref=-\partial_{h} u$).

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  • $\begingroup$ @GiorgioMetafune I know that. But I veered a bit away. Is my proof wrong though? I couldn't see what he meant by lower bound because we only have an upper bound on u(x). $\endgroup$ Commented Aug 15, 2023 at 22:05
  • $\begingroup$ @GiorgioMetafune ok i will go fix it now. thank you. $\endgroup$ Commented Aug 15, 2023 at 22:17

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