Abstract
We provide a detailed description of the structure of the transition probabilities and of the hitting distributions on boundary components of a manifold with corners for a degenerate strong Markov process arising in population genetics. The Markov processes that we study are a generalization of the classical Wright–Fisher process. The main ingredients in our proofs are based on the analysis of the regularity properties of solutions to a forward Kolmogorov equation defined on a compact manifold with corners, which is degenerate in the sense that it is not strictly elliptic and the coefficients of the first order drift term have mild logarithmic singularities.
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Notes
This assumption is not necessarily adopted in [9].
The distance is computed with respect to the intrinsic Riemannian metric.
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Acknowledgements
We would like to thank M.V. Safonov for providing the proof of Lemma A.1 in the fundamental 2d case and for valuable discussions. We would also like to thank the referee for her/his very careful reading of our paper and many suggestions for improvement.
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C. L. Epstein’s research is partially supported by NSF Grant DMS-1507396. C.A. Pop’s research is partially supported by NSF Grant DMS-1714490.
Appendix
Appendix
We establish auxiliary results used in the proof of Lemma 5.3. The first result is a Landis-type growth lemma which was proved by Safonov [24], in the two-dimensional case (that is, we take \(n=2\) and \(m=0\) in the statement of Lemma A.1). Given \(r,\mu >0\) and a bounded function u, we introduce the notation:
We consider a differential operator A defined on \(B^{\infty }_R\subset S_{n,m}\) by
where we assume that the coefficients \(\{b_i(z):1\le i\le n\}\) satisfy the cleanness condition:
We denote by \(I^T\) the set of indices \(1\le i\le n\) such that property (A.4) holds and we denote by \(I^{\pitchfork }\) the set of indices \(1\le i\le n\) such that property (A.5). In this appendix it is assumed that neither set is empty. We also denote:
We can now state:
Lemma A.1
(Growth lemma) [24] Let n, m be non-negative integers such that \(n\ge 2\) and let \(0<R, \nu <1\). Suppose that the coefficients of the operator A in (A.3) are bounded continuous functions on \(\bar{B}^{\infty }_R\) and that there are positive constants, \(\delta \) and K, such that for all \(1\le i, j \le n\) and \(1\le l,k\le m\), we have that
and the coefficients \(\{b_i(z):1\le i\le n\}\) satisfy one of conditions (A.4) or (A.5). Let \(i \in I^T\) and \(j \in I^{\pitchfork }\). Then there is a positive constant, \(\theta \in (0,1)\), depending only on \(b_0,\delta ,K,\nu , m\), and n, such that if
is a solution such that
then u satisfies the growth property
The proof of Lemma A.1 is based on an induction argument, which applies a comparison principle, and on the following scaling property of the operator A defined in (A.3):
Remark A.2
(Scaling property of the operator A) For \(\lambda >0\), we consider the rescaling described in (1.7). Using (A.9) we notice that the rescaled function \(v(z')\) satisfies the equation \(A' v(z') = 0\), for all \(z'=(x',y')\in B^{\infty }_{R/\lambda }\), where the operator \(A'\) is given by
Thus, by rescaling the solutions as in (1.7), the rescaled functions are solutions to an equation defined by a new operator, \(A'\), that satisfies the same properties as the original operator, A, when we choose the parameter \(\lambda \) in a bounded set. In the proof of Lemma A.1, we apply this scaling property for \(\lambda \in (0,1)\).
Note that in the \(n=2, m=0\) case we would have a function u defined on \([0,1]\times [0,1],\) which is not known to be (and in general will not be) continuous at (0, 0). This precludes a simple application of the maximum principle. If we can show that \(u(1/2,z)\le \theta ,\) and \(u(z,1/2)\le \theta \) for \(z\in (0,1/2),\) in a manner that only depends on bounds on the coefficients of the operator and the other hypotheses on u, then the scaling argument shows that, for \(r\in (0,1),\)
as well. In other words \(u(x,y)\le \theta ,\) for \((x,y)\in (0,1/2)\times (0,1/2),\) which provides an effective replacement for the maximum principle. This is, in essence, how the argument below proceeds. The proof that we provide is a small modification of an argument communicated to us by Safonov [24].
Remark A.2 implies that to establish the growth property (A.12), we can assume without loss of generality that \(R=1\) and \(M(1;1)=1\), and it is sufficient to prove that there is a constant, \(\theta \in (0,1)\), such that
Because our proof of Lemma A.1 relies on an induction argument, we begin with the proof of the base case in the induction.
Lemma A.3
(Growth lemma with \(n=2\) and \(m\ge 0\)) [24] In the statement of Lemma A.1 assume that \(n=2\), \(m\ge 0\), \(i=1\), and \(j=2\). Then the conclusion of Lemma A.1 holds.
Proof
We establish property (A.14) in several steps.
Step 1
In this step we prove that there are positive constants, \(h,\theta _1\in (0,1)\), such that
We let \(H\in (0,1)\) and we consider the set \( W_2 := (0,H)\times (1/4,3/4)\times (-1,1)^m, \) and the barrier function
where we recall that \(\nu \) belongs to (0, 1); it is the constant appearing in (A.10). Direct calculations give us that
and, using the assumption that \(b_1=0\) along \(\partial B^{\infty }_1\cap \{x_1=0\}\) together with (A.6) and (A.7), we see that we can find positive constants, C and H, such that
We also see that on the boundary of the set \(W_2\) the following hold. By property (A.10), we have that \(u\le \nu \le w_2\) on \(\partial W_2\cap \{x_1=0\}\). By property (A.11), we have that \(u\le 1\le w_2\) on \(\partial W_2\cap S_{n,m}\). Applying the comparison principle, it follows that \(u\le w_2\) on \(W_2\). From the choice of the barrier function \(w_2\), we see that for all \(\theta _1\in (\nu ,1)\), there is a positive constant \(h\in (0,1)\) such that \(u(x,y) \le \theta _1\), for all points \((x,y)\in \bar{W}_2\) with the property that \(x_2=1/2\), \(x_1\in [0,h]\), and \(y_l\in [-h,h]\), for all \(1\le l\le m\).
Applying Remark (A.2) with \(\lambda := r\in (0,1)\) arbitrarily chosen, we obtain that \(u(x,y) \le \theta _1\), for all points (x, y) with the property that there is \(r\in (0,1)\) such that \(x_2=r/2\), \(x_1\in [0,hr]\), and \(y_l\in [-h\sqrt{r},h\sqrt{r}]\), for all \(1\le l\le m\). We note that the scaling property described in Remark A.2 continues to hold when we apply translations in the y-coordinates of solutions. From here we deduce that \(u(x,y) \le \theta _1\), for all points (x, y) with the property that \(y_l\in [-1/2,1/2]\), for all \(1\le l\le m\), and there is \(r\in (0,1)\) such that \(x_2=r/2\) and \(x_1\in [0,hr]\). This proves that (A.15) holds.
Step 2
In this step, we extend property (A.15) in the sense that we prove that for all \(k\in (0,1/2)\) there is a constant, \(\theta _2=\theta _2(k,\theta _1)\in (0,1)\), such that
For \(k\in (0,1/2)\), we consider the sets \(D_1:=[hk,1/2]\times [k,1/2]\) and \(D_2 := [hk/2,1]\times [k/2,1]\), which have the property that \(D_1\subset D_2\) and the following hold:
Because the operator A is strictly elliptic on \(D_2\), the preceding properties of u show that we can apply the strong maximum principle to conclude that there is a positive constant, \(\theta _3=\theta _3(A,k)\in (0,1)\), such that \(u\le \theta _3\) on \(D_1\). Combining this property with inequality (A.15) and letting \(\theta _2:=\theta _1\vee \theta _3\), we obtain (A.16).
Step 3
We now prove that there are positive constants, \(k\in (0,1/2)\) and \(\theta _4\in (0,1)\), such that
For \(k\in (0,1/2)\), we let \(\theta _2=\theta _2(A,k)\in (0,1)\) be the constant in inequality (A.16). We consider the set \(W_1 := (1/4, 3/4) \times (0,k) \times (-1,1)^m\) and the barrier function
where the positive constant \(\beta \) is suitably chosen below. Because \(b_1>0\) along \(\partial W_1\cap \{x_2=0\}\), we can choose k small enough such that there is a positive constant, \(b_0\), with the property that \(b_1\ge b_0\) on \(\bar{W}_1\). Direct calculations give us that
and so we can choose \(\beta =\beta (b_0,K)\) large enough so that \(Aw_1 <0\) on \(W_1\). We next prove that \(u\le w_1\) on \(\partial W_1 \cap S_{n,m}\). We recall that by adapting the argument of the proof of [8, Proposition 3.1.1] to the case of elliptic problem for the operator A, we do not need to have that \(u\le w_1\) on the portion of the boundary \(\partial W_1\cap \{x_2=0\}\) due to the regularity assumption (A.8) and to the fact that the operator A is degenerate as we approach this boundary portion of \(W_1\). We see that on \(\partial W_1\cap \{x_2=k\}\), we have that \(w_1\ge \theta _2\) and \(u\le \theta _2\) by inequality (A.16), and so \(u\le w_1\) on \(\partial W_1\cap \{x_2=k\}\). On the portion of the boundary \(\partial W_1\cap \{x_1=1/4\hbox { or } x_1=3/4\}\), it is clear that \(u\le w_1\) because on this set we have that \(w_1\ge 1\) by construction and \(u\le 1\) by (A.11). Thus, the comparison principle implies that \(u\le w_1\) on \(W_1\). In particular, when \(z=(x,y)\) has the property that \(x_1=1/2\), \(x_2\in (0,k)\), and \(y_l\in (0,k)\), for all \(1\le l\le m\), we have that
We can choose the positive constant k small enough such that there is a positive constant \(\theta _4\in (0,1)\) with the property that \(u(x,y)\le \theta _4\), for all (x, y) such that \(x_1=1/2\) and \(x_2,y_l\in (0,k)\), for all \(1\le l\le m\). We recall that the scaling property in Remark A.2 continues to hold when we apply translations in the y-coordinates of solutions. This concludes the proof of inequality (A.17).
Let \(k\in (0,1/2)\) and \(\theta _4\) be chosen as in Step 3 and let \(\theta _2\) be chosen as in Step 2. Let \(\theta :=\theta _2\vee \theta _4\). Inequalities (A.16) and (A.17) give us that \(u(x,y)\le \theta \), for all (x, y) such that \(y\in (0,k)^m\), \(x_1=1/2\) and \(x_2\in (0,1/2)\), or \(x_2=1/2\) and \(x_1\in (0,1/2)\). Remark A.2 implies that \(u(x,y)\le \theta \), for all (x, y) such that there is \(r\in (0,1)\) with the property that \(y\in (0,\sqrt{r}k)^m\), \(x_1=r/2\) and \(x_2\in (0,r/2)\), or \(x_2=r/2\) and \(x_1\in (0,r/2)\). We recall that the scaling property in Remark A.2 continues to hold when we apply translations in the y-coordinates of solutions. From here we deduce that \(u(x,y) \le \theta \), for all points \((x,y)\in Q(1;1/2)\), where we recall the definition of Q(1; 1 / 2) in (A.2). This concludes the proof of inequality (A.14), when \(n=2\) and \(m\ge 0\). \(\square \)
We can now give
Proof of Lemma A.1
We assume without loss of generality that \(i=1\), \(j=2\), and \(R=1\). We prove inequality (A.14) by an induction argument on n. The base case, \(n=2\), was established in Lemma A.3. We next consider the induction step. We assume that (A.14) holds with n replaced by \(n-1\) and we want to establish it for n. We prove this assertion in several steps, which are adaptations of the steps of the proof of Lemma A.3 to the multi-dimensional case (\(n>2\)). For the multi-dimensional case, we do not need an adaptation of Step 1 in Lemma A.3.
Step 1
Analogously to Step 2 in the proof of Lemma A.3, we prove that for all \(k\in (0,1/2)\) there is a constant, \(\theta _1=\theta _1(A,k)\in (0,1)\), such that
For \(k\in (0,1/2)\), we consider the sets
which have the property that \(D_1\subset D_2\) and the following hold:
where we let \(\partial ^T D_2 := \partial ^T B^{\infty }_1\cap D_2\). Because on the set \(D_1\) the operator A can be viewed as a degenerate operator of the form (A.3) defined on \(S_{n-1,m+1}\), as opposed to \(S_{n,m}\), we can apply the induction hypothesis and by covering \(D_1\) by a finite number of balls, we obtain that there is a positive constant, \(\theta _1=\theta _1(A,k)\in (0,1)\), such that \(u\le \theta _1\) on \(D_1\). This completes the proof of inequality (A.18).
Step 2
Analogously to Step 3 in Lemma A.3, we next prove that there are positive constants, \(k\in (0,1/2)\) and \(\theta _2\in (0,1)\), such that
We fix \(k\in (0,1/2)\) and let \(\theta _1=\theta _1(A,k)\in (0,1)\) be chosen as in Step 1. We consider the set \(W_1 := (1/4, 3/4) \times (0,k) \times (-1,1)^m\) and the barrier function
where \(\beta \) is a positive constant. The argument of the proof of Step 3 Lemma A.3 immediately adapts to the present choice of the set \(W_1\) and of the barrier function \(w_1\), and we obtain that we can choose \(\beta \) and k small enough so that there is a constant, \(\theta _2\in (0,1)\), such that inequality (A.19) holds. This completes the argument of Step 2.
Let \(k\in (0,1/2)\) and \(\theta _2\) be chosen as in Step 2 and let \(\theta _1\) be chosen as in Step 1. Let \(\theta :=\theta _1\vee \theta _2\). Inequalities (A.18) and (A.19) gives us that \(u(x,y)\le \theta \), for all \((x,y)\in S_{n,m}\cap \partial (0,1/2)^n\times (-k,k)^m\). Remark A.2 implies that \(u(x,y)\le \theta \), for all \((x,y)\in (0,1/2)^n\times (-k,k)^m\). We recall that the scaling property in Remark A.2 holds when we apply translations in the y-coordinates of solutions. From here we deduce that \(u(x,y) \le \theta \), for all points \((x,y)\in Q(1;1/2)\), where we recall the definition of Q(1; 1 / 2) in (A.2). This completes the proof of inequality (A.14). \(\square \)
We next establish that the probability of hitting the intersection of a tangent and a transverse boundary component defines a function (by formula (A.20)) that satisfies the hypotheses of Lemma A.1.
Lemma A.4
(Regularity of the hitting probability) Suppose that the generalized Kimura operator satisfies the standard assumptions. Let \(i\in I^T\) and \(j\in I^{\pitchfork }\). Then the hitting probability,
belongs to the space of functions
and satisfies properties
Proof
From definition (A.20) of u, it is clear that property (A.24) holds. Applying Lemma 2.18 with \(p\in \partial ^T P\backslash (H_i\cap H_j)\), we also have that u satisfies property (A.23). To prove the remaining assertions of Lemma A.4, we use an approximation argument. Let \(k\in \mathbb {N}\), \(\varphi _k:P\rightarrow [0,1]\), and \(\psi _k:[0,\infty ]\rightarrow [0,1]\) be smooth functions such that
and let \(\zeta _k(t,p) := \psi _k(t)\varphi _k(p)\), for all \((t,p)\in [0,\infty )\times P\). Let \(v_k\) be the unique solution in the space of functions (4.3) to the non-homogeneous Dirichlet problem (4.1) with boundary condition \(\zeta =\zeta _k\). The stochastic representation (4.5) gives us that
where we recall that the stopping time \(\tau _{\partial ^T P}\) is defined in (1.18) and the probability measure \(\mathbb {Q}^p\) is the unique solution to the martingale problem in Definition 1.1.
We divide the proof into several steps.
Step 1
(Convergence as \(t\rightarrow \infty \) and \(k\rightarrow \infty \)) From the definition of the function \(\psi _k\) we have that
from which it follows that
Letting t tend to \(\infty \), we see that the right-hand side of the preceding inequality tends to 0 because
Thus, we have that the sequence of functions \(v_k(t,\cdot )\) converges pointwise on P, as \(t\rightarrow \infty \), for each fixed \(k\in \mathbb {N}\), and we denote
From the definition of the cutoff functions \(\varphi _k\) in (A.25) and of the hitting probability u in (A.20), we have that
We use this construction of the function u to prove that it belongs to the space of functions (A.21) and satisfies properties (A.22) and (A.23) in the following steps.
Step 2
(Proof of \(u\in C^2(P\backslash \partial ^T P)\) and u satisfies (A.22)) Note that \(|v_k(t,p)|\le 1\), for all \((t,p)\in [0,\infty )\times P\) and for all \(k\in \mathbb {N}\). Let U be a relatively open set in P such that \(\hbox {dist}(\bar{U}, P\backslash \partial ^TP)>0\). We can apply [23, Theorem 1.2] to conclude that, for all \(l\in \mathbb {N}\), there is a positive constant, \(C=C(L,l)\), such that
The construction of the function u in Step 1, the preceding estimate which is uniform in \(t\in [0,\infty )\) and \(k\in \mathbb {N}\), and an application of the Arzelà-Ascoli Theorem imply that u belongs to \(C^{\infty }(P\backslash \partial ^T P)\), since the relatively open set \(U\subset P\backslash \partial ^T P\) such that \(\hbox {dist}(\bar{U},\partial ^TP)>0\) was arbitrarily chosen. Moreover, because the functions \(v_k\) are solutions to the parabolic equation (4.1), the preceding observation implies that the hitting probability u satisfies equation (A.22).
Step 3
(Proof of \(u\in C(P\backslash (H_i\cap H_j))\) and of (A.23)) To establish that \(u\in C(P\backslash (H_i\cap H_j))\) and satisfies (A.23), it is sufficient to prove that
Let \(p\in \partial ^T P \backslash (H_i\cap H_j)\). Then there is a positive constant r such that \(B_r(p)\subset P\backslash (H_i\cap H_j)\). Let \(\varsigma \) be the first hitting time of the Kimura diffusion on the set \((\partial B_r(p)\cap \partial ^T P)\cup (\partial B_r(p)\cap {{\mathrm{int}}}(P))\), where we recall that \(B_r(p)\) is the relatively open ball centered at p of radius r with respect to the Riemannian metric induced by the generalized Kimura operator on P. The strong Markov property of Kimura diffusions established in Corollary 1.4 and the stochastic representation (A.20) of the function u give us that
where \(\xi =0\) on \(\partial ^T P\cap \partial B_r(p)\) and \(\xi =u\) on \(\partial B_r(p)\cap {{\mathrm{int}}}(P)\). Without loss of generality we can choose an adapted system of coordinates in a neighborhood of p such that p is equivalent to the origin in \(\bar{S}_{n,m}\) and the generalized Kimura operator takes the form (1.1) on \(B^{\infty }_R\), for some \(R>0\) small enough, such that \(b_1=0\) on \(\partial B^{\infty }_R \cap \{x_1=0\}\). Then, in the adapted system of coordinates, the local stochastic representation (A.29) becomes
where \(0<\rho <R\), \(\nu \) is the first hitting time of the boundary of the set \((\partial ^TB^{\infty }_{\rho }\cap \partial B^{\infty }_{\rho }) \cup (\partial B^{\infty }_{\rho }\cap S_{n,m})\), and \(\xi =0\) on \(\partial ^T B^{\infty }_{\rho }\cap \partial B^{\infty }_{\rho }\) and \(\xi =u\) on \(\partial B^{\infty }_{\rho }\cap S_{n,m}\). The constant \(\rho \) is suitably chosen below. Our goal is to prove that
Similarly to Step 1 in the proof of Lemma A.3, we choose the barrier function:
We clearly have that \(w(0)=0\), \(w(z)>0\), for all \(z\in {\bar{B}}^{\infty }_{\rho }\backslash \{0\}\), and direct calculations give us that
Using the fact that \(b_1=0\) along \(\partial B^{\infty }_{\rho }\cap \{x_1=0\}\) together with the continuity and boundedness of the coefficients, and the fact that \(a_{11}\ge \delta >0\) on \({\bar{B}}^{\infty }_{\rho }\) (by Assumption 1.2), it follows that we can choose \(\rho >0\) small enough so that \(Lw < 0\) on \({\bar{B}}^{\infty }_{\rho }\). Thus, applying Itô’s rule, we have that
Using the definition of the function \(\xi \) and of the stopping time \(\nu \), together with fact that \(w(0)=0\) and \(w(z)>0\), for all \(z\in {\bar{B}}^{\infty }_{\rho }\backslash \{0\}\), we find that there is a positive constant, K, such that \(\xi (\omega (\nu )) \le Kw(\omega (\nu ))\). Identity (A.30) together with inequality (A.32) yield
which implies that
Because the function u is non-negative, we see that the preceding inequality implies (A.31). This completes the proof of the fact that u is continuous at p, for all \(p\in \partial ^T P\backslash (H_i\cap H_j)\).
Combining Steps 1, 2, and 3 completes the proof. \(\square \)
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Epstein, C.L., Pop, C.A. Transition probabilities for degenerate diffusions arising in population genetics. Probab. Theory Relat. Fields 173, 537–603 (2019). https://doi.org/10.1007/s00440-018-0840-2
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DOI: https://doi.org/10.1007/s00440-018-0840-2
Keywords
- Degenerate elliptic operators
- Compact manifold with corners
- Fundamental solution
- Dirichlet heat kernel
- Caloric measure
- Markov processes
- Transition probabilities
- Hitting distributions