I am considering the following question related to the randomness of Mobius function $\mu(n)$:
$\mu(n)$ is defined as :
$\mu(1)=1$,
$\mu(p_1...p_t)=(-1)^t$, $\forall t\in N^*$ $p_1,...,p_t$ are different primes,
$\mu(n)=0$ if $\exists p$ is a prime, $p^2|n$.
My question is, given $k\in N^*, (a_1,...,a_n)\in \{0,1,-1\}^{n}$. Define set $A(a_1,...,a_n)=\{n|(\mu(n+1),...,\mu(n+k))=(a_1,...,a_n)\}$.
Question 1: Is there a nontrivial estimate for $\limsup_{N\to\infty}\frac{|\{1,2,...,N\}\cap A(a_1,...,a_k)|}{N}$?
This could be view as a weak-$L^{\infty}$ estimate and can be explain to be that the destiny of the image of $f$ could not concentrate at some singularity point in $\{0,1,-1\}^k$ which is for map $f^{\mu}_k:\mathbb Z\to \{0,1,-1\}^{k}$ induced by $n\to (n+1,...,n+k)\to (\mu(n+1),...,\mu(n+k))$.
Thanks for Gerd's comments, My original goal is to prove the image is uniformly distribute in $\{0,1,-1\}^k$ but it is failed to be true. Inspirit by Wojowu's comments, we say $(a_1,...,a_n)\in \{0,1,-1\}^k$ is k-admissible iff there do not exists local obstacle to make $A(a_1,...,a_k)=\emptyset$, for a local obstacle I mean if it is still an obstacle after $mod p_1p_2...p_k$ for some $p_1,p_2,...,p_k$, for example $A(1,1,1,1)$ have local obstacle due to there could not be 4 continuous square-free numbers (mod 2). Define $\Omega_k\subset \{0,1,-1\}^k$ is the set combine with all k-admissible k-tuples, I expect $f_{k}^{\mu}$ is uniformly distribute in $\Omega_k$ if we are in the best case.
Question 2: Define $\Omega_k\subset \{0,1,-1\}^k$ is the set combine with all k-admissible k-tuples, Is $f_{k}^{\mu}$ is uniformly distribute in $\Omega_k$?
Anyway, after a check of my sight, I realize the thing I really need it that the "density" of $f^{\mu}_{k}$ will not concentrate at some small area in $\{0,1,-1\}^k$.
I will appreciate to any meaningful comments and advice.