Abstract
The paper deals with the asymptotic properties of a symmetric random walk in a high contrast periodic medium in \(\mathbb Z^d\), \(d\ge 1\). From the existing homogenization results it follows that under diffusive scaling the limit behaviour of this random walk need not be Markovian. The goal of this work is to show that if in addition to the coordinate of the random walk in \(\mathbb Z^d\) we introduce an extra variable that characterizes the position of the random walk inside the period then the limit dynamics of this two-component process is Markov. We describe the limit process and observe that the components of the limit process are coupled. We also prove the convergence in the path space for the said random walk.
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The authors would like to thank the anonymous Referees for very useful remarks.
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Appendix: Proofs of the Propositions
Appendix: Proofs of the Propositions
Proof of Proposition 4
From (33) we obtain the following system of uncoupled equations for the functions \(q_j \Big (\frac{z}{\varepsilon }\Big ), \; z \in \varepsilon B^\sharp ,\) and for constants \(\alpha _{0 j}\):
Then, for every \(j = 1, \ldots , M\), the function \(q_j \Big (\frac{z}{\varepsilon }\Big )\) satisfies the equation
which is equivalent to the following equation on \( B^\sharp \):
where \(\mathbf{1}_B(x)\) is the indicator function of \(B^\sharp \), and \(q_j(x)\) is Y-periodic. Using the Fredholm theorem we conclude that Eq. (51) has a unique solution if
Due to the irreducibility of \(P^0\) on \(B^\sharp \) we have \( \mathrm {Ker}(P^0 - I)^*= \mathbf{1}_{B}\). Therefore, the orthogonality condition in (52) implies the following unique choice of constants \(\alpha _{0j}\):
where |B| is the cardinality of the set B. Thus \(\alpha _{0j}\) is defined by (53) for every \(j =1, \ldots , M\), and Eq. (51) has a unique up to an additive constant solution \(q_j(x), \ x \in B^\sharp ,\) that is a bounded periodic function on the set \(B^\sharp \). Proposition 4 is proved. \(\square \)
Proof of Proposition 3
We say that \(y \sim x, \; x,y \in \mathbb Z^d\), if \(p_0 (x,y) \ne 0\). Let \(\Lambda _x\) be a finite set of \(\xi \in \mathbb Z^d\) such that \(x+\xi \sim x\). From now on we use the notation
Then
and
Using (29) we get for all \(z \in \varepsilon B^{\sharp }\):
Then the vector function \(h\Big (\frac{z}{\varepsilon }\Big )\) should satisfy the relation
Using (54) we rearrange the left-hand side of (56) as follows:
Thus the periodic vector function h(x) should solve the equation
where \(l(x)=x\) is the linear function. The solvability condition for Eq. (58) reads
Since \(p_{\xi }(x) = p_{-\xi }(x+\xi )\), this condition holds true, which implies the existence of the unique, up to an additive constant, periodic solution h(x) of Eq. (58).
We follow the similar reasoning to find an equation for the periodic matrix function \(g(x), \ x \in B^\sharp \). Collecting in (55) all terms of the order O(1) and using relation (58) on the function h(x) we get:
Let \(\frac{z}{\varepsilon } = y \in B\), and denote by \(\Phi (h)\) the following matrix function
In order to ensure the convergence in (32) we should find a matrix \(\Theta \) and a periodic matrix function g(y) such that
The solvability condition for (61) reads
thus \(\Theta \) is uniquely defined as follows:
and g(y) is a solution of Eq. (61). This solution is uniquely defined up to a constant matrix.
Proposition 7
The matrix \(\Theta \) defined by
is positive definite, i.e. \((\Theta \eta , \eta )>0 \; \forall \eta \ne 0\).
Proof
Step 1. Here we show that
where \(\partial _{\xi } g(y) = g(y+\xi ) - g(y)\) for every \(\xi \), and \( a(y) = a_{\xi \xi }(y) = p_{\xi } (y)\) is the diagonal matrix. Using
we obtain (63):
Step 2. From (58) and (63) it follows that the vector function \(l+h\) satisfies the equation
Consequently, for all \(\eta \in \mathbb R^d\) we get
where we have denoted
Step 3. Let us check that the following quadratic form is positive definite:
To this end, taking into account the fact that \(a(y) = \{p_\xi (y)\}\) is the diagonal matrix, we rearrange the left-hand side of (65) as follows
Since \(l(x)=x\), and h is a periodic function, the expression on the right-hand side is strictly positive for any \(\eta \not =0\).
Subtracting (64) from (65) and using the relation \(\partial _\xi l(y)=\xi \) we have
Observe that
here we have set \(u = y + \xi \) and uses the identity \( p_\xi (y) = p_{-\xi }(u)\). Finally, the expression in (66) can be written as
and the positive definiteness of the matrix \(\Theta \) follows. \(\square \)
This complete the proof of Proposition 3.
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Piatnitski, A., Zhizhina, E. Scaling Limit of Symmetric Random Walk in High-Contrast Periodic Environment. J Stat Phys 169, 595–613 (2017). https://doi.org/10.1007/s10955-017-1883-y
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DOI: https://doi.org/10.1007/s10955-017-1883-y
Keywords
- High-contrast periodic media
- Symmetric random walk
- Correctors
- Multi-component Markov process
- Invariance principle