Pith. sign in

REVIEW 3 major objections 4 minor 27 references

Characterization of subordinate symmetric Markov processes

T0 review · 3 major / 4 minor · reviewed 2026-08-11 · deepseek-v4-flash

Pith's one-line read A single integrability condition decides when a subordinate process has a two-scale jump kernel.

desk verdict The new jump-kernel estimate for subordinated diffusion+jump processes is plausible and worth refereeing, but Theorem 1.2's proof omits the (a)=>(c) argument. read the letter →

arxiv 2412.05030 v2 pith:S6VZ2TR3 submitted 2024-12-06 math.PR

classification math.PR MSC 60J7631C2531E05
keywords symmetricMarkovprocessesDirichletformsheatkernelestimatessubordinationBernsteinfunctionsvolumedoublingpurejumpscale
verification ladder T0 review T1 audit T2 compute T3 formal

The pith

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The reading

This paper asks when a symmetric Markov process with both a diffusion part and a jump part can be obtained from another such process by subordination, meaning time is reparameterized by an independent increasing Lévy process. For a process whose heat kernel has the two-sided bounds called HK-($\phi_c,\phi_j$), the paper shows the subordinate process's jump kernel is always comparable to $J(x,y)\asymp \frac{1}{V(x,r)}\left(\frac{1}{\psi(r)}+\Phi(\phi_j(r)^{-1})\right)$ with $r=d(x,y)$, where the first term comes from the diffusion component and the second, new term comes from the jump component. The main theorem states that a pure jump Dirichlet form with such a kernel exists, and is in fact the Dirichlet form of a subordinated process, exactly when the scale functions satisfy $\int_0^1 \frac{\phi(s)}{s\psi(s)}\,ds<\infty$. This gives a single, checkable integrability condition that separates subordinate processes from arbitrary jump processes, and it extends a diffusion-only comparison theorem to the mixed setting.

What carries the argument

The machinery has three pieces. First, subordinator calculus: a subordinator with Bernstein function $\Phi(\lambda)=\int_0^\infty(1-e^{-\lambda t})\frac{dt}{t\psi(\phi^{-1}(t))}$ has Lévy measure $d\nu(t)=dt/(t\psi(\phi^{-1}(t)))$, and Theorem 2.10 writes the subordinate process's jump kernel as $J(x,y)=\frac12\int_0^\infty p(t,x,y)\,d\nu(t)$, where $p$ is the heat kernel of the original process. Second, heat-kernel sieving: the two-sided bounds in $HK^{-}(\phi_c,\phi_j)$ split the integral at the time scale $\phi(r)=\phi_c(r)\wedge\phi_j(r)$, and at $\phi_c(c_1 r)$ for small $r$; the diffusion part produces $1/\psi(r)$ and the jump part produces $\Phi(\phi_j(r)^{-1})$. Third, volume doubling as bookkeeping: the property $V(x,R)/V(x,r)\le C(R/r)^{d_2}$ converts the volume ratios that appear when the heat kernel is integrated into power-law bounds, used for instance in displays (3.13), (3.27), (3.33), and (3.35). The proof of Theorem 1.2 then reduces existence of the subordinate representation to the integral in condition (c) via Lemma 3.8.

What would settle it

On $M=\mathbb{R}^d$, take the sum of Brownian motion and an independent $\alpha$-stable process, so $\phi_c(r)=r^2$, $\phi_j(r)=r^\alpha$, and $\phi(r)=r^2\wedge r^\alpha$, with an admissible $\psi$, for example $\psi(r)=r^{\gamma\beta}$ with $\beta=2$. Compute the subordinate process's jump kernel directly from $J(x,y)=\frac12\int_0^\infty p(t,x,y)\,dt/(t\psi(\phi^{-1}(t)))$; if for some $r$ the ratio $J(x,y)V(x,r)/\left(1/\psi(r)+\Phi(\phi_j(r)^{-1})\right)$ leaves a fixed constant range, Proposition 3.3 and Theorem 1.2 would be false, and the integral $\int_0^1 \phi(s)/(s\psi(s))\,ds$ would fail to predict the existence boundary.

Watch

Extended reading notes

Core claim

The paper's central discovery is Theorem 1.2: for a diffusion+jump type regular Dirichlet form satisfying $HK^{-}(\phi_c,\phi_j)$ on a volume-doubling metric measure space, three statements are equivalent: (a) there is a pure jump Dirichlet form whose jump kernel satisfies $$J(x,y)\asymp \frac{1}{V(x,r)}\left(\frac{1}{\psi(r)}+\Phi(\phi_j(r)^{-1})\right),\quad r=d(x,y),$$ (b) there is a subordinator $S_t$ such that the subordinated process $X_{S_t}$ has such a jump kernel, and (c) the integral $\int_0^1 \frac{\phi(s)}{s\psi(s)}\,ds$ is finite, where $\Phi$ is the Bernstein function defined from $\psi$ in (1.6) and $\phi=\phi_c\wedge\phi_j$ is the scale function used in the heat kernel estimates. Proposition 3.3, which estimates the subordinate jump kernel, is the engine: it shows the kernel is always comparable to that two-scale expression, with the term $\Phi(\phi_j(r)^{-1})$ arising from the jump part of the original process and not present in the diffusion-only case. The same result holds for pure jump processes with $\phi=\phi_j$ (Corollary 3.9). The author emphasizes that the two scales are generally not comparable, and Example 3.7 shows $1/\psi(r)$ and $\Phi(\phi_j(r)^{-1})$ can scale with different power-law exponents.

Load-bearing premise

The argument assumes the underlying metric measure space has the volume doubling property, meaning the volume of a ball grows at most polynomially in its radius; the proofs repeatedly replace volume ratios by such power-law bounds, so if this property fails the jump-kernel estimates and the equivalence are not established.

Editorial extensions

If this is right

  • For any $HK^{-}(\phi_c,\phi_j)$ process, the pure jump kernels of the form (1.5) are subordinate kernels precisely when $\int_0^1 \frac{\phi(s)}{s\psi(s)}\,ds<\infty$; otherwise no subordinator produces them.
  • The jump part contributes a genuinely new scale $\Phi(\phi_j(r)^{-1})$ that is generally not comparable to the diffusion scale $1/\psi(r)$; Example 3.7 shows the two scales can have different power-law exponents.
  • The pure-jump analogue in Corollary 3.9 gives the same equivalence with $\phi=\phi_j$ and the simpler kernel estimate $J\asymp \Phi(\phi_j(r)^{-1})/V(x,r)$.
  • Because the criteria rest only on scale-function integrability, they transfer to non-subordinate processes through stability of Dirichlet forms under perturbation, as the abstract indicates.

Reading between the lines

Editorial extensions of the paper, not claims the author makes directly.

  • Beyond the paper: the integral $\int_0^1 \frac{\phi(s)}{s\psi(s)}\,ds$ can be viewed as a criticality boundary, with a two-scale subordinate kernel on one side and no such kernel on the other; this boundary could be compared with phase transitions observed in simulated subordinate walks on fractals.
  • Beyond the paper: on Sierpinski-type spaces with $\phi_c(r)=r^\beta$ and $\phi_j(r)=r^\alpha$, the theorem gives a constructive recipe: pick $\psi$ with finite integral, take a Brownian-plus-stable-like process, and subordinate it to obtain a jump process with prescribed kernel $J\asymp (1/V)(1/\psi(r)+\Phi(r^{-\alpha}))$.
  • Beyond the paper: since volume doubling is used only through power-law bounds on volume ratios, a plausible extension is to spaces satisfying only a one-sided or local doubling condition, though the paper does not pursue this.
Share X Bluesky LinkedIn Reddit HN

Signed reviews

No signed human review yet.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, and a circularity audit.

Referee Report

3 major / 4 minor

Summary. The paper studies subordinate symmetric Markov processes associated with regular non-killing Dirichlet forms of diffusion+jump type on a metric measure space satisfying the volume doubling property. For a given scale function ψ, it defines a Bernstein function φ by (1.6) and shows in Proposition 3.3 that the jump kernel of the subordinated process satisfies the two-scale estimate (1.5), namely J(x,y) ≃ V(x,r)^{-1}(1/ψ(r)+φ(φ_j(r)^{-1})). The main theorem, Theorem 1.2, states an equivalence between (a) existence of a pure-jump Dirichlet form whose jump kernel satisfies (1.5), (b) existence of a subordinator whose subordinate process has such a jump kernel, and (c) the integrability condition ∫_0^1 φ(s)/(sψ(s)) ds < ∞. A pure-jump analogue is stated as Corollary 3.9. The paper also gives examples of processes satisfying the heat kernel estimates and discusses the non-comparability of the two scales in the jump kernel.

Significance. If the proof is completed, the result is a natural and useful generalization of Liu-Murugan's comparison theorem from the diffusion case to the diffusion+jump case. The identification of the second scale φ(φ_j(r)^{-1}) in (1.5) is a genuine contribution, and Example 3.7 indicates that this term is not comparable to 1/ψ(r) in general. The paper is also careful to work without reverse volume doubling, and it connects the abstract estimates to concrete examples on Euclidean spaces and fractals. However, the advertised 'transferring method' for non-subordinate processes does not appear in the body, and the proof of Theorem 1.2 has a missing implication; the significance is therefore conditional on a successful revision.

major comments (3)
  1. [Section 3.3, proof of Theorem 1.2] The implication (a) ⇒ (c) is asserted without proof. The text states '(a) implies ∫_{(0,1)} dt/ψ(φ^{-1}(t)) < ∞' and then invokes Lemma 3.8, but no argument connects the existence of a pure-jump Dirichlet form with jump kernel satisfying (1.5) to this integrability. Since (a) ⇒ (c) is one half of the claimed equivalence, this is load-bearing. A natural completion is to observe that if the integral in (c) diverged, then by Lemma 3.8 and the definition (1.6) the Bernstein function φ(λ) would be infinite for every λ>0, in particular for λ=φ_j(r)^{-1}, so the right-hand side of (1.5) would be infinite and no finite jump kernel could be comparable to it; this argument should be written out.
  2. [Lemma 3.5, equations (3.18)–(3.20) and (3.25)] The reduction of the jump-type contribution to Proposition 3.1 is not immediate and is not justified as written. The term (II) in (3.18) is integrated against dt/(tψ(φ^{-1}(t))) with φ=φ_c∧φ_j, whereas Proposition 3.1 estimates the analogous integral with φ_j in place of φ. The needed comparison 1/V(x,φ^{-1}(t)) ≤ C/V(x,φ_j^{-1}(t)) and 1/ψ(φ^{-1}(t)) ≤ C/ψ(φ_j^{-1}(t)) follows from φ≤φ_j, but it is omitted. Similarly, in (3.25) the estimate of (I) replaces the upper limit φ_c(c_1r) by φ_c(r); this requires the doubling property of φ_c and should be stated explicitly. These are local gaps in the proof of the central estimate, though they appear repairable.
  3. [Lemma 3.6, equation (3.37)] In the lower-bound estimate for the truncated Bernstein function, the integral over 0<t<φ(r) is bounded by an integral against the heat kernel lower bound p(t,x,y) ≥ C t/(V(x,r)φ_j(r)), which is only available for 0<t<φ(c_1r). If c_1<1, the interval [φ(c_1r),φ(r)] is not covered, and the phrase 'by using the doubling property of φ and ψ' does not by itself close the gap. The argument should show that φ(r) ≤ C φ(c_1r) uniformly in r, or else use the alternative lower bound p(t,x,y) ≥ C/V(x,φ^{-1}(t)) on the remaining interval. Without this, the lower bound in Proposition 3.3 is not fully established as written.
minor comments (4)
  1. [Throughout, especially Section 1] The same symbol φ is used both for the scale function φ_c∧φ_j and for the Bernstein function defined in (1.6); this makes statements such as (1.5), (1.7), and (3.20) genuinely ambiguous. In Theorem 1.2(c), φ(s) in the integrand is the scale function, while in (1.6) φ(λ) is the Bernstein function. Recommend using a separate symbol, for example φ for the Bernstein function.
  2. [Abstract] The abstract promises a 'transferring method' for non-subordinate processes, but no such method appears in the body; Sections 2 and 3 contain only the direct subordination calculation and Theorem 1.2. Please either add the transferring method or revise the abstract to remove this claim.
  3. [Example 3.7] The claimed asymptotics (3.45)–(3.46) are stated without derivation, and φ_j is not specified in the example; please include the computation or a precise reference, since the example is used to illustrate the non-comparability of the two scales.
  4. [Various] There are several typographical errors: 'appliable' in the abstract, 'sence' in Example 2.6(iii) and Remark 2.8, 'insatnce' in Remark 2.5(i), and 'Bernstetin' in Lemma 3.6, Case 2.

Circularity Check

1 steps flagged · score 4.0 of 10

Theorem 1.2's (a)->(c) direction is an unproved and definitional consequence of (1.5)-(1.6); the constructive direction via Proposition 3.3 is independent.

  1. self definitional [Section 3.3, Proof of Theorem 1.2]
    "(a) implies ∫_(0,1) dt/ψ(φ^{-1}(t)) < ∞. By Lemma 3.8 this is equivalent to (c)."

    No proof is supplied for this implication. The only route from the existence in (a) to the integral condition is that a finite jump kernel comparable to the right side of (1.5) forces φ(φ_j(r)^{-1}) < ∞. But φ is defined in (1.6) by an integral whose convergence at λ = φ_j(r)^{-1} is governed, through the t→0 behaviour of the integrand and Lemma 3.8, by exactly the condition (c). Thus the asserted implication is a well-definedness consequence of the definition of φ, not an independent existence result; the existential content of (a) is not used.

full rationale

The substantive content of the paper is Proposition 3.3, which estimates the jump kernel of the subordinated process from the assumed heat kernel estimates HK-(φ_c, φ_j) and the specified subordinator; this derivation is self-contained and not circular. The constructive direction (c) → (b) → (a) of Theorem 1.2 follows from Lemma 3.8 and Proposition 3.3 and is independent of the circularity concern. The problem is the converse direction: the proof asserts (a) ⇒ ∫_0^1 dt/ψ(φ^{-1}(t)) < ∞ without argument, and the natural completion is definitional, since (a) requires finiteness of the kernel in (1.5) whose second term φ(φ_j(r)^{-1}) is defined by (1.6) in terms of ψ and whose finiteness is equivalent, via Lemma 3.8, to (c). This makes one half of the claimed equivalence reduce to definitions, though the other half remains substantive. Lemma 3.8 is cited from Liu-Murugan [23] and is not a self-citation of the author. The abstract's promise of a 'transferring method' for non-subordinate processes is not delivered in the body; this is a completeness gap rather than a circularity. Overall the central derivation is genuine, but the stated equivalence is only partially established and one direction is definitional, so the circularity score is 4 rather than higher.

Assumptions & free parameters 0 free parameters · 8 assumptions · 0 invented entities

The central claim rests on the HK- heat kernel estimate, the VD property, and standard Dirichlet form and subordination machinery. Scale functions phi_c, phi_j, and psi are inputs, not fitted parameters. Condition (1.7) is exactly the well-definedness of the Bernstein function (1.6), so condition (a) is definitionally tied to (c). No invented entities or fitted constants enter.

assumptions (8)
  • domain assumption Volume doubling property (VD) holds for (M,d,mu).
    Standing assumption in Section 2; used to convert volume ratios into power-law estimates in (3.13), (3.27), and (3.35).
  • domain assumption The Dirichlet form (E,F) is regular, non-killing, and satisfies HK-(phi_c, phi_j), or HK(phi_j) in Corollary 3.9.
    This is the input heat kernel estimate. All jump kernel estimates in Section 3 start from (2.7) or (1.4).
  • domain assumption phi_c, phi_j, and psi are scale functions satisfying LU and the comparability condition (2.11).
    Definition 2.2 and the line after (2.11) impose the LU bounds and the ordering phi_c <= phi_j on (0,1] and phi_c >= phi_j on (1, infinity), which fixes phi = phi_c and phi_j and splits the proofs at r = 1.
  • standard math Okura's theorem: the subordinate Dirichlet form is regular, pure-jump, and has jump kernel J(x,y) = 1/2 times the integral of p(t,x,y) with respect to the Levy measure.
    Quoted as Theorem 2.10 from Okura; this formula is the starting point for every jump kernel estimate in Section 3.
  • standard math Beurling-Deny decomposition and the existence of a µ-symmetric Hunt process for a regular Dirichlet form.
    Used to set up the decomposition (2.4) through (2.6); cited to Fukushima-Oshima-Takeda [16].
  • standard math Known diffusion-subordination estimate of Bae-Kang-Kim-Lee (Proposition 3.4, [2, Lemma 4.2]).
    Quoted and used to control the p^(c) contribution, giving the 1/psi(r) term in the upper bounds (3.19) and (3.26).
  • standard math Lemma 3.8, attributed to Liu-Murugan [23, Lemma 3.5]: the integral of phi(s)/(s psi(s)) from 0 to 1 is finite if and only if the integral of ds/psi(phi^-1(s)) from 0 to 1 is finite.
    Used in the proof of Theorem 1.2 to connect condition (c) to the well-definedness of the Bernstein function.
  • domain assumption The subordinator is driftless (b = 0) and the original process is conservative.
    Theorem 2.10 assumes b = 0 and conservativeness; Remark 2.9 says HK lower bounds imply conservativeness, and Section 2.2 states these assumptions.

how reviews work

0 comments
Cite this review

Pith. "Pith review of Characterization of subordinate symmetric Markov processes." pith.science (2026). https://pith.science/paper/S6VZ2TR3

@misc{pith2026241205030,
  author       = {Pith},
  title        = {Pith review of: Characterization of subordinate symmetric Markov processes},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/S6VZ2TR3}},
  note         = {Machine review of arXiv:2412.05030}
}
read the original abstract

In this paper, we consider subordinate symmetric Markov processes which correspond to non-killing Dirichlet forms enjoying heat kernel estimates on a metric measure space with the volume doubling property. We obtain estimates of the jump kernel of the subordinate process and establish equivalent conditions for the jump kernel following Liu-Murugan. In particular, we clarify the scale of the jump kernel, which is different from the diffusion type. This result is appliable to non-subordinate processes by the transferring method, which uses stability of Dirichlet forms.

Figures

Figures reproduced from arXiv: 2412.05030 by the authors.

Figure 1
Figure 1. Sierpinski carpet [PITH_FULL_IMAGE:figures/full_fig_p003_1.png] view at source ↗
Figure 2
Figure 2. Unbounded Sierpinski carpet [PITH_FULL_IMAGE:figures/full_fig_p006_2.png] view at source ↗
Figure 2
Figure 2. Tiling of Sierpinski carpets [PITH_FULL_IMAGE:figures/full_fig_p007_2.png] view at source ↗

Discussion (0). Continue with ORCID to comment.

Reference graph

Works this paper leans on

27 extracted references · 27 canonical work pages

  1. [1]

    J. Bae, J. Kang, P. Kim, J. Lee, Heat kernel estimates for symmetric jump processes with mixed polynomial growths, Ann. Probab. 47 (2019), no. 5, 2830–2868; MR4021238

  2. [2]

    J. Bae, J. Kang, P. Kim, J. Lee, Heat kernel estimates and their stabilities for symmetric jump pro- cesses with general mixed polynomial growths on metric measure spaces, arXiv:1904.10189v3

  3. [3]

    M. T. Barlow, Diffusions on fractals, inLectures on probability theory and statistics (Saint-Flour, 1995), 1–121, Lecture Notes in Math., 1690, Springer, Berlin, ; MR1668115

  4. [4]

    M. T. Barlow and R. F. Bass, The construction of Brownian motion on the Sierpi ´nski carpet, Ann. Inst. H. Poincar´e Probab. Statist. 25 (1989), no. 3, 225–257; MR1023950

  5. [5]

    M. T. Barlow and R. F. Bass, Brownian motion and harmonic analysis on Sierpinski carpets, Canad. J. Math. 51 (1999), no. 4, 673–744; MR1701339

  6. [6]

    M. T. Barlow, R. F. Bass, Z.-Q. Chen, M. Kassmann, Non-local Dirichlet forms and symmetric jump processes, Trans. Amer. Math. Soc. 361 (2009), no. 4, 1963–1999; MR2465826

  7. [7]

    M. T. Barlow, R. F. Bass and T. Kumagai, Stability of parabolic Harnack inequalities on metric measure spaces, J. Math. Soc. Japan 58 (2006), no. 2, 485–519; MR2228569

  8. [8]

    M. T. Barlow and E. A. Perkins, Brownian motion on the Sierpi ´nski gasket, Probab. Theory Related Fields 79 (1988), no. 4, 543–623; MR0966175

Show all 27 references
  1. [9]

    Bogdan, A

    K. Bogdan, A. St ´os and P. Sztonyk, Harnack inequality for stable processes on d-sets, Studia Math. 158 (2003), no. 2, 163–198; MR2013738

  2. [10]

    Chen and T

    Z.-Q. Chen and T. Kumagai, Heat kernel estimates for stable-like processes ond-sets, Stochastic Process. Appl. 108 (2003), no. 1, 27–62; MR2008600 17

  3. [11]

    Chen and T

    Z.-Q. Chen and T. Kumagai, Heat kernel estimates for jump processes of mixed types on metric measure spaces, Probab. Theory Related Fields 140 (2008), no. 1-2, 277–317; MR2357678

  4. [12]

    Chen and T

    Z.-Q. Chen and T. Kumagai, A priori H ¨older estimate, parabolic Harnack principle and heat kernel estimates for diffusions with jumps, Rev. Mat. Iberoam. 26 (2010), no. 2, 551–589; MR2677007

  5. [13]

    Z.-Q. Chen, T. Kumagai and J. Wang, Heat kernel estimates and parabolic Harnack inequalities for symmetric Dirichlet forms, Adv. Math.374 (2020), 107269, 71 pp.; MR4157572

  6. [14]

    Z.-Q. Chen, T. Kumagai and J. Wang, Stability of heat kernel estimates for symmetric non-local Dirichlet forms, Mem. Amer. Math. Soc. 271 (2021), no. 1330, v+89 pp.; MR4300221

  7. [15]

    Z.-Q. Chen, T. Kumagai and J. Wang, Heat kernel estimates for general symmetric pure jump Dirichlet forms, Ann. Sc. Norm. Super. Pisa Cl. Sci. (5)23 (2022), no. 3, 1091–1140; MR4497742

  8. [16]

    Fukushima, Y

    M. Fukushima, Y. ¯Oshima and M. Takeda, Dirichlet forms and symmetric Markov processes , second revised and extended edition, De Gruyter Studies in Mathematics, 19, de Gruyter, Berlin, 2011; MR2778606

  9. [17]

    A. A. Grigor’yan and A. Telcs, Two-sided estimates of heat kernels on metric measure spaces, Ann. Probab. 40 (2012), no. 3, 1212–1284; MR2962091

  10. [18]

    Kim and A

    P. Kim and A. Mimica, Harnack inequalities for subordinate Brownian motions, Electron. J. Probab. 17 (2012), no. 37, 23 pp.; MR2928720

  11. [19]

    Kim and A

    P. Kim and A. Mimica, Green function estimates for subordinate Brownian motions: stable and beyond, Trans. Amer. Math. Soc.366 (2014), no. 8, 4383–4422; MR3206464

  12. [20]

    P. Kim, R. Song and Z. Vondra ˇcek, Potential theory of subordinate Brownian motions revisited, in Stochastic analysis and applications to finance , 243–290, Interdiscip. Math. Sci., 13, World Sci. Publ., Hackensack, NJ, ; MR2986850

  13. [21]

    P. Kim, R. Song and Z. Vondra ˇcek, Uniform boundary Harnack principle for rotationally sym- metric L ´evy processes in general open sets, Sci. China Math. 55 (2012), no. 11, 2317–2333; MR2994122

  14. [22]

    Kumagai, Some remarks for stable-like jump processes on fractals, in Fractals in Graz 2001, 185–196, Trends Math., Birkh¨auser, Basel, ; MR2091704

    T. Kumagai, Some remarks for stable-like jump processes on fractals, in Fractals in Graz 2001, 185–196, Trends Math., Birkh¨auser, Basel, ; MR2091704

  15. [23]

    Liu and M

    G. Liu and M. K. Murugan, On the comparison between jump processes and subordinated diffusions, ALEA Lat. Am. J. Probab. Math. Stat. 20 (2023), no. 2, 1271–1281; MR4683374

  16. [24]

    Mimica, Heat kernel estimates for subordinate Brownian motions, Proc

    A. Mimica, Heat kernel estimates for subordinate Brownian motions, Proc. Lond. Math. Soc. (3) 113 (2016), no. 5, 627–648; MR3570240

  17. [25]

    M. K. Murugan and L. Saloff-Coste, Heat kernel estimates for anomalous heavy-tailed random walks, Ann. Inst. Henri Poincar´e Probab. Stat. 55 (2019), no. 2, 697–719; MR3949950

  18. [26]

    ˆOkura, Recurrence and transience criteria for subordinated symmetric Markov processes, Forum Math

    H. ˆOkura, Recurrence and transience criteria for subordinated symmetric Markov processes, Forum Math. 14 (2002), no. 1, 121–146; MR1880197 18

  19. [27]

    Song and Z

    R. Song and Z. Vondra ˇcek, Parabolic Harnack inequality for the mixture of Brownian motion and stable process, Tohoku Math. J. (2) 59 (2007), no. 1, 1–19; MR2321989 Ryuto Kushida: Department of Pure and Applied Mathematics, Graduate School of Fundamental Science and Engi- nee...

Pith tools

Reviewed August 11, 2026 · model on record in the stance chip above.