Abstract
This paper takes the so-called probabilistic approach to the strong renewal theorem (SRT) for multivariate distributions in the domain of attraction of a stable law. A version of the SRT is obtained that allows any kind of lattice–nonlattice composition of a distribution. A general bound is derived to control the so-called small-n contribution, which arises from random walk paths that have a relatively small number of steps but make large cumulative moves. The asymptotic negligibility of the small-n contribution is essential to the SRT. Applications of the SRT are given, including some that provide a unified treatment to known results but with substantially weaker assumptions.
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The author would like to thank two referees and the AE for their careful reading of the paper and useful suggestions.
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Appendices
Appendix 1: Proofs for the Lattice–Nonlattice Composition
For a set E in a Euclidean space, denote by \(\mathrm {span}(E)\) the linear subspace spanned by elements of E. If M is a matrix, denote by \(\mathrm {csp}(M)\) the linear subspace spanned by the column vectors of M. If the rank of M is equal to its number of columns, then M is said to be of full column rank.
Proof of Proposition 2.1
Let \(\Gamma = \Gamma _X\), where
As in the proof of [31], T6.1, \(\Gamma \) plays an important role. The first step is to show that it is a lattice. The first line in (8.1) implies that \(\Gamma \) is an additive subgroup of \(\mathbb {R}^d\), so it suffices to show that 0 is not a cluster point of \(\Gamma \). Let \(u_n\in \Gamma \) such that \(u_n\rightarrow 0\). Let \(V_n = \mathrm {span}(u_i,\,i\ge n)\). Since \(\mathbb {R}^d\supset V_1\supset V_2 \supset \cdots \), there is k, such that \(V_k = V_{k+1} = \cdots \). Let \(X_*\) be i.i.d. \(\sim X\) and \(\xi = X - X_*\). Then almost surely, \(\langle {u_n},{\xi }\rangle \in {\mathbb {Z}}\) for all n. Since \(\langle {u_n},{\xi }\rangle \rightarrow 0\), this implies \(\langle {u_n},{\xi }\rangle =0\) for \(n\ge k\) large enough. But then \(\xi \in V^\perp _n = V^\perp _k\). By assumption, \(\xi \) is not concentrated in any linear subspace of dimension \(d-1\). Then \(V_k = \{0\}\), giving \(u_k = u_{k+1} = \cdots = 0\), so 0 is not a cluster point of \(\Gamma \).
Let \(V=\mathrm {span}(\Gamma )\) and \(r=\dim (V)\). Suppose \(r\ge 1\). By a fundamental theorem on lattices (cf. [34], Lemma 3.4), \(\Gamma = M{\mathbb {Z}}^r\) for some \(M\in \mathbb {R}^{d\times r}\) of rank r. Let \(v_1, \ldots , v_{r}\) be the column vectors of M and \(a=(a_1, \ldots , a_{r})\) such that \(\langle {v_i},{X}\rangle \in a_i + {\mathbb {Z}}\). Then \(X\in \Lambda = \{x\in \mathbb {R}^d: M'x \in a + {\mathbb {Z}}^r\}\). By \(\pi _V(x) = H M' x\), where \(H = M(M'M)^{-1}\), \(\pi _V(X) = H M' X \in H(a +{\mathbb {Z}}^r)\), so \(\pi _V(X)\) is lattice. If \(v \in \mathbb {R}^d\setminus V\), then \(v\not \in \Gamma \), so \(|\varphi _X(2\pi v)|<1\). Thus V has the property stated in (1). To continue, assume the following result is true for now.
Lemma 8.1
There is \(K\in {\mathbb {Z}}^{r\times r}\) with \(\det K=\pm 1\) such that \(K a = (0, \ldots , 0, z_\nu , z_{\nu +1}, \ldots , z_r)\), where \(z_\nu \in [0,\infty )\cap \mathbb {Q}\) and \(z_{\nu +1}, \ldots , z_r\in (0,\infty )\setminus \mathbb {Q}\) are rationally independent.
Let \(Q\in \mathbb {R}^{d\times (d-r)}\) be of full column rank such that \(Q' M = O\). Define
Then \(TX = (Y, Z)\), \(\beta _\nu \in \mathbb {Q}\cap [0,1)\), and \(\beta _{\nu +1}\), ..., \(\beta _r\in (0,1) \setminus \mathbb {Q}\) are rationally independent. Put \(\beta =(0,\ldots , 0, \beta _\nu , \beta _{\nu +1}, \ldots , \beta _r)\). Since \(Y\in K (a + {\mathbb {Z}}^r) = \beta + {\mathbb {Z}}^r\), T has the property stated in (3).
To show T has the property stated in (2), if \(u = (k, 0)\in {\mathbb {Z}}^r\times \{0\}\), then by \(\langle {u},{T X}\rangle = \langle {k},{Y}\rangle \in \langle {k},{\beta }\rangle + {\mathbb {Z}}\), \(|\varphi _{T X}(2\pi u)|=1\). Conversely, if \(|\varphi _{T X}(2\pi u)|=1\), then \(|\varphi _X(2\pi T' u)|=1\), so \(T' u = M k\in \Gamma \) for some \(k\in {\mathbb {Z}}^r\). Write \(u = (w, v)\) with \(w\in \mathbb {R}^r\). By (8.2), \(H'T' u= H'(M K' w + Q v) = K' w\). As the LHS is also \(H'M k=k\), \(K' w= k\), giving \(w = (K')^{-1} k\in {\mathbb {Z}}^r\). On the other hand, \((\mathrm {Id}_d -M H')T' u = (\mathrm {Id}_d - M H') (M K' w + Q v) = Qv\) and the LHS is also \((\mathrm {Id}_d - MH')M k = 0\). Thus \(Q v=0\). Since Q is of full column rank, \(v=0\) and hence \(u = (w, 0)\in {\mathbb {Z}}^r\times \{0\}\).
So far it has been assumed that \(r=\dim (V)>0\). If \(r=0\), then \(\Gamma = V = \{0\}\). Consequently, \(|\varphi _X(2\pi v)|<1\) for \(v\ne 0\) and \(T = \mathrm {Id}_d\) has the property stated in (2)–(3).
To show that V is unique, let W be a linear subspace such that \(\pi _W(X)\) is lattice and \(|\varphi _X(2\pi v)|<1\) for \(v\not \in W\). By definition, \(\Gamma \subset W\), so \(V = \mathrm {span}(\Gamma ) \subset W\). If \(V\ne W\), then \(W\cap V^\perp \ne \emptyset \) and \(\pi _{W\cap V^\perp }(X) = \pi _{W\cap V^\perp } (\pi _W(X))\) is lattice. It follows that there is \(0\ne u\in W\cap V^\perp \), such that \(\langle {u},{X}\rangle = \langle {u},{\pi _{W\cap V^\perp }(X)}\rangle \in c + {\mathbb {Z}}\) for some c. But then \(u\in \Gamma \subset V\). The contradiction shows \(V=W\) and hence the uniqueness of V.
To show that \(\nu \), r, and q are unique, suppose \(0\le \mu \le s\le d\), \(q_*\in \mathbb {N}\), and \(B\in \mathbb {R}^{d\times d}\) is nonsingular, such that
and \(B X = (Y_*, Z_*)\) with \(Y_*\in \gamma + {\mathbb {Z}}^s\), \(Z^* \in \mathbb {R}^{d-s}\), and \(\gamma = (0,\ldots , 0, \gamma _\mu , \gamma _{\mu + 1}, \ldots , \gamma _s)\), where \(\gamma _\mu = p_*/q_*\) with \(0\le p_* < q_*\) being coprime, and \(\gamma _{\nu +1}, \ldots , \gamma _s\in (0,1) \setminus \mathbb {Q}\) are rationally independent. By \(B' u\in \Gamma \Longleftrightarrow |\varphi _{BX}(2\pi u)|=1\) and (8.3), \(\Gamma = B'({\mathbb {Z}}^s \times \{0\})\). Since B is nonsingular, a comparison of dimensions yields \(s=\dim (V)=r\).
Let \(r\ge 1\), otherwise nothing remains to be shown. Then by \(\Gamma = T'({\mathbb {Z}}^r\times \{0\}) = B'({\mathbb {Z}}^r\times \{0\})\), \(T'_1{\mathbb {Z}}^r = B'_1{\mathbb {Z}}^r\), where \(T_1, B_1\in \mathbb {R}^{r\times d}\) consist of the first r rows of T and B, respectively. Then there are \(J, J_*\in {\mathbb {Z}}^{r\times r}\) such that \(T_1 = J B_1\) and \(J_* T_1 = B_1\), giving \(J_* J B_1 = J_* T_1 = B_1\). Since the rows of \(B_1\) are linearly independent, \(J_* J=\mathrm {Id}_r\). Thus \(J^{-1} = J_*\). On the other hand, \(B_1 X = Y_*\). Then \(T_1 X = J B_1 X = J Y_*\in J(\gamma + {\mathbb {Z}}^r) = J\gamma + J{\mathbb {Z}}^r = J\gamma + {\mathbb {Z}}^r\). Since \(T_1 X = Y \in \beta + {\mathbb {Z}}^r\), then \(\beta - J\gamma = (b_1, \ldots , b_{r}) \in {\mathbb {Z}}^r\). Let \(J=(g_{ij})\). Each \(\beta _i = c_i + g_{i,\mu +1} \gamma _{\mu +1} + \cdots + g_{ir}\gamma _r\) with \(c_i = b_i + g_{i1} \gamma _1 + \cdots + g_{i\mu }\gamma _\mu = b_i + g_{i\mu }\gamma _\mu \in {\mathbb {Z}}\). Since \(\beta _i\), \(i>\nu \), are rationally independent, this leads to \(\mu \le \nu \). Likewise, \(\nu \le \mu \). Thus \(\mu = \nu \). For \(i\le \nu \), \(g_{i,\nu +1} \gamma _{\nu +1} + \cdots + g_{ir} \gamma _r = \beta _i - c_i\in {\mathbb {Z}}\). By rational independence of \(\gamma _{\nu +1}\), ..., \(\gamma _r\), \(\beta _i = c_i\). In particular, \(\beta _\nu = k\gamma _\nu - l\) with \(k = g_{\nu \nu }\) and \(l = -b_\nu \). Likewise, \(\gamma _\nu = k_* \beta _\nu - l_*\) with \(k_*, l_*\in {\mathbb {Z}}\). As a result \((kk_*-1) \beta _\nu = k(\gamma _\nu + l_*) - \beta _\nu = l + k l_*\in {\mathbb {Z}}\). Since \(\beta _\nu = p/q\) with \(0\le p <q\) being coprime, \(q\,|\,k k_* -1\), so \(k_*\) and q are coprime. Then \(\gamma _\nu =p_*/q\) with \(p_* = k_* p - l_*q\) being coprime with q. Thus \(q_* = q\), completing the proof. \(\square \)
Proof of Proposition 2.2
(1) Let \(K\xi = (\zeta _1, \ldots , \zeta _{\nu -1}, p + q \zeta _\nu )\), where \(K\in {\mathbb {Z}}^{\nu \times \nu }\) with \(\det K=\pm 1\), \(0\le p < q\) are coprime, and \(\zeta = (\zeta _1, \ldots , \zeta _{\nu })\in {\mathbb {Z}}^\nu \) is strongly aperiodic. By \(\xi \in {\mathbb {Z}}^\nu \), \(\langle {t},{\xi }\rangle \in {\mathbb {Z}}\) for \(t\in {\mathbb {Z}}^\nu \). Conversely, if \(\langle {t},{\xi }\rangle \in {\mathbb {Z}}\), then letting \(s= (K')^{-1} t\), \(\langle {s},{K\xi }\rangle = s_1\zeta _1 + \cdots + s_{\nu -1} \zeta _{\nu -1} + q s_\nu \zeta _\nu + p s_\nu \in {\mathbb {Z}}\). The strong aperiodicity of \(\zeta \) implies \(s_1, \ldots , s_{\nu -1}, q s_\nu , p s_\nu \in {\mathbb {Z}}\). Since p and q are coprime, then \(s_\nu \in {\mathbb {Z}}\). Thus \(s\in {\mathbb {Z}}^\nu \) and \(t = K' s\in {\mathbb {Z}}^\nu \). This shows \(\xi \) is aperiodic.
Conversely, let \(\xi \) be aperiodic. Define \(\Gamma = \Gamma _\xi \) as in (8.1). Then \(\Gamma \) is a lattice. Since \({\mathbb {Z}}^\nu \subset \Gamma \), by Smith normal form ( [34], Th. 3.7), there are linearly independent \(u_1, \ldots , u_{\nu }\in \Gamma \) and integers \(1\le n_1 \le \cdots \le n_\nu \) with \(n_i\,|\,n_{i+1}\), such that, letting \(M = (u_1, \ldots , u_{\nu })\) and \(D = \mathrm {diag}(n_1, \ldots , n_{\nu })\),
By \(u_i\in \Gamma \), \(\langle {u_i},{\xi }\rangle \in s_i + {\mathbb {Z}}\) for some \(s_i\). In matrix form, \(M'\xi \in s + {\mathbb {Z}}^\nu \), where \(s=(s_1, \ldots , s_{\nu })\). Define \(K = D M'\), \(Z = K\xi \), and \(b = D s\). From the second identity in (8.4), \({\mathbb {Z}}^\nu = K'{\mathbb {Z}}^\nu \), giving \(K, K^{-1}\in {\mathbb {Z}}^{\nu \times \nu }\). Then \(Z\in {\mathbb {Z}}^\nu \) and is aperiodic. Meanwhile, \(Z = D M'\xi \in D(s + {\mathbb {Z}}^\nu ) = b + D {\mathbb {Z}}^\nu \). Then from \(Z\in (b + D{\mathbb {Z}}^\nu )\cap {\mathbb {Z}}^\nu \) and \(D {\mathbb {Z}}^\nu \subset {\mathbb {Z}}^\nu \), \(b\in {\mathbb {Z}}^\nu \). Let \(Z_1, Z_2, \ldots \), \(Z'_1, Z'_2, \ldots \) be i.i.d. \(\sim Z\). For \(m,n\ge 0\), \(S_m(Z) - S_n(Z')\in {\mathbb {Z}}b + D{\mathbb {Z}}^\nu \subset {\mathbb {Z}}^\nu \). By aperiodicity of Z, for every standard base vector \(e_i\) of \(\mathbb {R}^\nu \), there are m and n such that \(\mathbb {P}\{S_m(Z) - S_n(Z') = e_i\}>0\) ([31], p. 20). This yields \(e_i \in {\mathbb {Z}}b + D {\mathbb {Z}}^\nu \). As a result, \({\mathbb {Z}}b+ D{\mathbb {Z}}^\nu = {\mathbb {Z}}^\nu \). Let \(s_i\in {\mathbb {Z}}\) and \(v_i = (v_{i1}, \ldots , v_{i\nu })\in {\mathbb {Z}}^\nu \), such that \(b s_i + D v_i = e_i\). Write \(b = (b_1, \ldots , b_{\nu })\). By comparing the coordinates,
Thus, each pair of \(b_i\) and \(n_i\) are coprime. For \(j>i\), as \(n_j\ne 0\), \(n_j\,|\,b_j s_i\), so \(n_j \,|\,s_i\). Then by \(b_i (s_i/n_j) n_j + n_i v_{ii}=1\), \(n_j\) and \(n_i\) are coprime. By \(n_i\,|\,n_j\), this gives \(n_i=1\). As a result, \(n_1 = \cdots = n_{\nu -1}=1\). Put \(q=n_\nu \) and let \(0\le p<q\) such that \(q\,|\,(b_\nu - p)\). Let \(\zeta = D^{-1}(Z - p e_\nu )\). By \(Z\in b + D{\mathbb {Z}}^\nu \) and \(b- p e_\nu \in D{\mathbb {Z}}^\nu \), \(\zeta \in {\mathbb {Z}}^\nu \). If \(\langle {t},{\zeta }\rangle \in s+{\mathbb {Z}}\), where \(t\in \mathbb {R}^\nu \) and \(s\in \mathbb {R}\), then \(\langle {M t},{\xi }\rangle = \langle {t},{M'\xi }\rangle = \langle {t},{D^{-1} Z}\rangle \in c + {\mathbb {Z}}\) with \(c = s + p\langle {t},{D^{-1} e_\nu }\rangle \). Then \(M t\in \Gamma = M {\mathbb {Z}}^\nu \), so \(t\in {\mathbb {Z}}^\nu \). Thus \(\zeta \) is strongly aperiodic. By \(K\xi = Z = p e_\nu + D\zeta \), the proof is complete.
(2) Let \(\zeta = L - \beta _\nu e_\nu \). Then \(\zeta \in {\mathbb {Z}}^\nu \). Since for \(u\in \mathbb {R}^d\), \(|\varphi _{TX}(2\pi u)|=1\Longleftrightarrow u\in {\mathbb {Z}}^\nu \times \{0\}\), then for \(v\in \mathbb {R}^\nu \), \(|\varphi _\zeta (2\pi v)| = |\varphi _L(2\pi v)|=1\Longleftrightarrow v\in {\mathbb {Z}}^\nu \), so \(\zeta \) is strongly aperiodic. Then by (1), \(D L= (\zeta _1, \ldots , \zeta _{\nu -1}, p + q \zeta _\nu )\in {\mathbb {Z}}^\nu \) is aperiodic. \(\square \)
Proof of Lemma 8.1
Recall \(\mathbb {Q}\), \(\mathbb {R}\), and their quotient \(\mathbb {R}/\mathbb {Q}\) are vector spaces over the field \(\mathbb {Q}\), Let \({\bar{a}} = ({\bar{a}}_1, \ldots , {\bar{a}}_{r})\) with \({\bar{a}}_i = a_i + \mathbb {Q}\in \mathbb {R}/\mathbb {Q}\). First, if \(\bar{a}\ne 0\), then there are linearly independent \({\bar{u}}_1, \ldots , {\bar{u}}_{s}\in \mathbb {R}/\mathbb {Q}\), \(1\le s\le r\), such that \({\bar{a}}= A {\bar{u}}\), where \(A \in \mathbb {Q}^{r\times s}\) is of full column rank and \({\bar{u}}=(\bar{u}_1, \ldots , \bar{u}_{s})\). Equivalently, \(a - A u\in \mathbb {Q}^r\). Note that \(u_i\) are rationally independent. By multiplying A by a large \(m\in \mathbb {N}\) and dividing u by m, A can be assumed to be in \({\mathbb {Z}}^{r\times s}\). It is known that there are \(P\in {\mathbb {Z}}^{r\times r}\) and \(R\in {\mathbb {Z}}^{s\times s}\) with \(|\det P| = |\det R|= 1\), such that \(P A = \left( {\begin{array}{c}D\\ O\end{array}}\right) R\), where \(D=\mathrm {diag}(d_1, \ldots , d_{s})\) with \(d_i\in \mathbb {N}\) and \(d_i\,|\,d_{i+1}\) (cf. [23], Th. III.5). Let \(D R u = v\). Then \(P (a -A u) = P a - (v, 0)\in \mathbb {Q}^r\), so \(P a = ({\tilde{v}}, w)\), where \({\tilde{v}} = v + y\) for some \(y\in \mathbb {Q}^s\) and \(w \in \mathbb {Q}^{r-s}\). The coordinates of \({\tilde{v}}\) are rationally independent. On the other hand, similar to A, there is \(M\in {\mathbb {Z}}^{(r-s)\times (r-s)}\) with \(\det M = \pm 1\), such that \(M w = (q, 0, \ldots , 0)\in \mathbb {Q}^{r-s}\) with \(q\ge 0\). Then gives \(K_0 a = (\tilde{v}, q, 0, \ldots , 0)\). By permuting the coordinates, the lemma follows. Finally, if \({\bar{a}}=0\), then \(a\in \mathbb {Q}^r\). Following the treatment of the above w, the result follows. \(\square \)
Appendix 2: Proofs Regarding Distributions in the Domain of Attraction
Proof of (3.1) and (3.2)
Let \(X\sim F\in \mathcal {D}(\alpha )\). If \(\alpha =2\), then (3.2) is part of [28], Th. 4.1. For any \(c>1\), \(V_X(s) \le V_X(c s) \le V_X(s) + c^2 s^2 q_X(s)\), which by (3.2) gives \(V_X(c s)/V_X(s)\rightarrow 1\) as \(s\rightarrow \infty \). Then (3.1) follows. If \(\alpha \in (0,2)\), then Th. 4.2 of [28] states that \(q_X\in \mathcal {R}_{-\alpha }\), which leads to both (3.1) and (3.2) (cf. [1], Th. 1.6.4). \(\square \)
Proof of (3.4)
For the univariate case, see [1], p. 347. For the multivariate case, first, let \(\alpha \in (0,2)\). The proof of Th. 4.2 of [28] shows that a choice of \(a_n\) is the infimum of all s such that
where \(\gamma \) is a nonzero measure on \(S^{d-1}\) and E is any fixed subset of \(S^{d-1}\) with \(\gamma (E)>0\). By Th. 14.10 of [29], \(\gamma \) is finite. Letting \(E = S^{d-1}\) and \(c = \gamma (S^{d-1})\), it follows that \(a_n\) can be any s satisfying \(q_X(s) \le c/n \le q_X(s-)\). Then by (3.2) and (3.3), \(a_n\) can (also) be taken to be any sequence such that \(A(a_n)\sim cn\).
Let \(\alpha =2\) and \(b(u) = \langle {u},{\Sigma u}\rangle \), where \(\Sigma \) is the covariance matrix of the limiting normal distribution. If \(\mathbb {E}|X|^2<\infty \), then (3.4) follows from the central limit theorem. Suppose \(\mathbb {E}|X|^2 = \infty \). By Th. 2.4 of [28], \(a_n\) can be any sequence such that for any \(\epsilon >0\), (i) \(n q_X(\epsilon a_n)\rightarrow 0\) and (ii) \((n/a^2_n) [m_V(\epsilon a_n,u) - \langle {c_V(\epsilon a_n)},{u}\rangle ^2]\rightarrow b(u)\) for any \(u\in S^{d-1}\). Since \(|c_V(s)|^2 = o(V_X(s))\) as \(s\rightarrow \infty \) ([28], (4.5)), by (3.1) and (4.6), (ii) is equivalent to \(n/A(a_n) \rightarrow \sum _i b(e_i)\). Once (ii) is satisfied, by (3.2), (i) is satisfied. Then the claim on \(a_n\) follows. \(\square \)
Proof of (3.5)
For the univariate case, see [1], p. 347. For the multivariate case, according to the last comment on p. 190 in [28], \(b_n\) can be taken to be \((n/a_n) c_X(t a_n) + \gamma \), where \(\gamma \) is any constant vector, and \(t>0\) is any fixed number such that \(\{|x|=t\}\) has measure 0 under the Lévy measure of the limiting stable law. From the characterization of the Lévy measure (cf. [28], (3.4)–(3.5)), t can be any positive number. It follows that any \(b_n\) satisfying (3.4) must be of the form \((n/a_n) c_X(a_n) + \gamma + \epsilon _n\) for some constant vector \(\gamma \), where \(\epsilon _n\rightarrow 0\) as \(n\rightarrow \infty \). This implies (3.5). \(\square \)
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Chi, Z. On a Multivariate Strong Renewal Theorem. J Theor Probab 31, 1235–1272 (2018). https://doi.org/10.1007/s10959-017-0754-4
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DOI: https://doi.org/10.1007/s10959-017-0754-4