The First Passage Time and Estimation of the Number of Level-Crossings for a Telegraph Process

It is a well-known result that almost all sample paths of a Brownian motion or Wiener process {W(t)} have infinitely many zero-crossings in the interval (0, δ) for δ > 0. Under the Kac condition, the telegraph process weakly converges to the Wiener process. We estimate the number of interse...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Datum:2015
Hauptverfasser: Kolomiets, T., Pogorui, A. О., Rodriguez-Dagnino, R. M., Коломиєць, Т., Погоруй, А. О., Родріжес-Дагніно, Р.М.
Format: Artikel
Sprache:Englisch
Veröffentlicht: Institute of Mathematics, NAS of Ukraine 2015
Online Zugang:https://umj.imath.kiev.ua/index.php/umj/article/view/2031
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Назва журналу:Ukrains’kyi Matematychnyi Zhurnal
Завантажити файл: Pdf

Institution

Ukrains’kyi Matematychnyi Zhurnal
_version_ 1860507944649490432
author Kolomiets, T.
Pogorui, A. О.
Rodriguez-Dagnino, R. M.
Коломиєць, Т.
Погоруй, А. О.
Родріжес-Дагніно, Р.М.
author_facet Kolomiets, T.
Pogorui, A. О.
Rodriguez-Dagnino, R. M.
Коломиєць, Т.
Погоруй, А. О.
Родріжес-Дагніно, Р.М.
author_sort Kolomiets, T.
baseUrl_str https://umj.imath.kiev.ua/index.php/umj/oai
collection OJS
datestamp_date 2019-12-05T09:49:13Z
description It is a well-known result that almost all sample paths of a Brownian motion or Wiener process {W(t)} have infinitely many zero-crossings in the interval (0, δ) for δ > 0. Under the Kac condition, the telegraph process weakly converges to the Wiener process. We estimate the number of intersections of a level or the number of level-crossings for the telegraph process. Passing to the limit under the Kac condition, we also obtain an estimate of the level-crossings for the Wiener process.
first_indexed 2026-03-24T02:17:22Z
format Article
fulltext UDC 517.9 A. A. Pogorui (Zhytomyr State Univ., Ukraine), R. M. Rodrı́guez-Dagnino (Electrical and Computer Engineering, Tecnológico de Monterrey, México), T. Kolomiiets (Zhytomyr State Univ., Ukraine) THE FIRST PASSAGE TIME AND AN ESTIMATE OF THE NUMBER OF LEVEL-CROSSINGS FOR A TELEGRAPH PROCESS ЧАС ПЕРШОГО ДОСЯГНЕННЯ ТА ОЦIНКА ЧИСЛА ПЕРЕТИНIВ РIВНЯ ДЛЯ ТЕЛЕГРАФНИХ ПРОЦЕСIВ It is a well-known result that almost all sample paths of Brownian motion or Wiener process {W (t)} have infinitely many zero-crossings in the interval (0, δ) for δ > 0. Under the Kac condition, the telegraph process weakly converges to the Wiener process. We estimate the number of intersections of a level or the number of level-crossings for the telegraph process. Passing to the limit under the Kac condition, we also obtain an estimate for the level-crossings for the Wiener process. Вiдомо, що майже всi вибiрковi траєкторiї броунiвського руху чи вiнерiвського процесу {W (t)} мають нескiнченно багато нульових перетинiв в iнтервалi (0, δ) при δ > 0. За умови Каца телеграфний процес слабко збiгається до вiнерiвського процесу. В роботi оцiнюється число перетинiв рiвня для телеграфного процесу. Переходячи до границi за умови Каца, ми також отримуємо оцiнку перетинiв рiвня для вiнерiвського процесу. 1. Introduction. Let us set the probability space (Ω,F ,P). On the phase space T = {0, 1} consider an alternating Markov stochastic process {ξ(t), t ≥ t}, having the sojourn time τi corresponding to the state x = i ∈ T, and generating matrix Q = λ [ −1 1 1 −1 ] . Denote by {x(t), t ≥ 0} the associated telegraph process. Then d dt x(t) = v(−1)ξ(t), v = constant > 0, and x(0) = x0. 2. Distribution of the first passage time. In this section we will find the explicit mathematical form for the distribution of the first passage time of a specific level L of a telegraph process on the real line. Let assume a fixed level L, then let us define ∆(t) = L − x(t). Furthermore, we assume that z = L− x0 > 0. Suppose ξ(0) = k and define Tk(z) = inf {t ≥ 0 : ∆(t) = 0}, k ∈ {0, 1}, i.e., Tk(z) is the first passage time of the level L by the telegraph process {x(t)} after assuming ξ(0) = k. Now, let us denote as fk(t, z) dt = P (Tk(z) ∈ dt) the probability density function (pdf) of Tk(z). c© A. A. POGORUI, R. M. RODRIGUEZ-DAGNINO, T. KOLOMIIETS, 2015 882 ISSN 1027-3190. Укр. мат. журн., 2015, т. 67, № 7 THE FIRST PASSAGE TIME AND AN ESTIMATE OF THE NUMBER OF LEVEL-CROSSINGS . . . 883 Theorem 1. For t ≥ z v f0(t, z) = e−λt δ(z − vt) + λz v2 I1 ( λ v √ v2t2 − z2 ) √ v2t2 − z2  , f1(t, z) = e−λt I1 ( λ ( t− z v )) t− z v + λz t∫ z/v I1(λ(t− u))I1 ( λ v √ v2u2 − z2 ) (t− u) √ v2u2 − z2 du  , where I1(·) is the modified Bessel function of the first kind. Proof. Consider the Laplace transform of Tk(z), k ∈ {0, 1}, ϕk(s, z) = E [ e−sTk(z) ] , s ≥ 0, and by using renewal theory concepts we can obtain the following system of integral equations for these Laplace transforms, i.e., ϕ0(s, z) = e− s+λ v z + λ v z∫ 0 e− s+λ v uϕ1(s, z − u) du = = e− s+λ v z 1 + λ v z∫ 0 e s+λ v uϕ1(s, u) du  , ϕ1(s, z) = λ v e s+λ v z ∞∫ z e− s+λ v uϕ0(s, u) du. We then differentiate these two equations to obtain the following system: ∂ ∂z ϕ0(s, z) = −s+ λ v ϕ0(s, z) + λ v ϕ1(s, u), ∂ ∂z ϕ1(s, z) = s+ λ v ϕ1(s, z)− λ v ϕ0(s, u). It is well-known, Pogorui and Rodrı́guez-Dagnino [1], that this set of equations relating ϕ0(s, u) and ϕ1(s, u) can be represented as Mf = 0, where M =  ∂ ∂z + s+ λ v −λ v λ v ∂ ∂z − s+ λ v  . ISSN 1027-3190. Укр. мат. журн., 2015, т. 67, № 7 884 A. A. POGORUI, R. M. RODRIGUEZ-DAGNINO, T. KOLOMIIETS Then f(z) satisfies the following equation: (Det(M))f = 0, where Det(M) is the determinant of the matrix M. By calculating the determinant, we have ∂2 ∂z2 f(z)− s2 + 2λs v2 f(z) = 0. The solution of this equation has the form f(z) = C1 e √ s2+2λs z v + C2 e − √ s2+2λs z v . The constantsC1 andC2 are obtained from the conditions imposed on the system of integral equations, and we can obtain the solutions ϕ0(s, z) = e− z v √ s(s+2λ) (1) and ϕ1(s, z) = s+ λ− √ s(s+ 2λ) λ e− z v √ s(s+2λ). (2) The inverse Laplace transform of ϕ0(s, z) with respect to s yields the following (generalized) pdf (see [2, p. 239], formula 88): f0(t, z) = L−1 ( e− z v √ s(s+2λ), t ) = = e−λtδ(z − vt) + zλe−λt I1 ( λ v √ v2t2 − z2 ) √ v2t2 − z2 , t ≥ z v . (3) Hence, P (T0(z) ∈ dt) = e−λtδ(z − vt) dt+ zλe−λt I1 ( λ v √ v2t2 − z2 ) √ v2t2 − z2 dt, t ≥ z v . Similarly, the inverse Laplace transform of the first term of ϕ1(s, z) can be obtained from Bateman and Erdélyi [3, p. 237] and [4, p. 284] (formula (11)) L−1 ( s+ λ− √ s(s+ 2λ) λ , t ) = 1 λ L−1 ( (s+ λ− √ s(s+ 2λ)), t ) = e−λt t I1(λt). (4) The inverse Laplace transform of ϕ1(s, z) is just the convolution of Eqs. (3) and (4). Thus, the pdf f1(t, z) is given by f1(t, z) = t∫ z/v e−λ(t−u) (t− u) I1(λ(t− u)) e−λuδ(z − vu) + zλe−λu I1 ( λ v √ v2u2 − z2 ) √ v2u2 − z2  du = ISSN 1027-3190. Укр. мат. журн., 2015, т. 67, № 7 THE FIRST PASSAGE TIME AND AN ESTIMATE OF THE NUMBER OF LEVEL-CROSSINGS . . . 885 = e−λt t− z v I1 ( λ ( t− z v )) + zλe−λt t∫ z/v I1(λ(t− u)) I1 ( λ v √ v2u2 − z2 ) (t− u) √ v2u2 − z2 du for t ≥ z v . Theorem 1 is proved. 3. Estimation of the number of level-crossings for a telegraph process. We denote as Ck(t, z) the number of intersections of level z made by the particle x(t) during the time interval (0, t), t > 0, assuming that ξ(0) = k ∈ {0, 1}. We consider the renewal function Hk(t, z) = E[Ck(t, z)]. Now, let us consider the so-called Kac’s condition (or the hydrodynamic limit), i.e., let λ = ε−2, v = cε−1, then as ε→ 0 (or λ→∞ and v →∞) we have that v2 λ → c2. It was proved in [5] that, under Kac’s condition, the telegraph process x(t) weakly converges to the Wiener process W (t) which is normal distributed as N(0, ct). Theorem 2. Under Kac’s condition we have lim λ→∞ = Hk(t, 0)√ λ = lim v→∞ cHk(t, 0) v = lim ε→0 εcHk(t, 0) = c √ 2 π √ t. Proof. The Laplace transform of the general renewal function will be used in this proof, see the seminal book on this subject Cox [6]. It follows from (2) that the Laplace transform Ĥ1(s, 0) = = L(H1(t, 0), t) of H1(t, 0) with respect to t has the form Ĥ1(s, 0) = 1 s ∞∑ k=0 ( s+ λ− √ s(s+ 2λ) λ )k = λ s √ s(s+ 2λ)− s2 . It is not hard to verify that E[C1(t, 0)] = L−1 ( λ s √ s(s+ 2λ)− s2 ) = = 1 2 + (( 1 2 + λt ) I0(2λt) + λtI1(2λt) ) e−λt, t ≥ 0. Hence, lim λ→∞ E[C1(t, 0)]√ λ = √ 2 π √ t. Theorem 2 is proved. Taking into account λ = ε−2, v = cε−1, we have H1(t, 0) = √ λ 2 π √ t = c √ 2 π √ t v as v →∞. Therefore, for a fixed t > 0 the number of crossings of level 0 by the telegraph process, under Kac’s condition, goes to∞ as the velocity v. We should notice that the result of Theorem 2 is in correspondence with results of M. I. Portenko [7]. ISSN 1027-3190. Укр. мат. журн., 2015, т. 67, № 7 886 A. A. POGORUI, R. M. RODRIGUEZ-DAGNINO, T. KOLOMIIETS Now, let us denote as F1(x) = x∫ 0 f1(t, 0) dt = x∫ 0 e−λt t I1(λt) dt. Theorem 3. P  1− λx∫ 0 e−u u I1(u) du C1(x, 0) ≥ 3 √ y → G1/2(y) as λ → ∞. The cumulative distribution function (cdf) G1/2(y) is the one-sided stable distribution satisfying the condition y1/2[1−G1/2(y)]→ 3 as y →∞ [8]. Proof. It is easily seen that lim x→∞ √ x(1− F1(x)) = lim x→∞ √ x 1− λx∫ 0 e−2λt t I1(2λt) dt  = = 2 lim x→∞ e−2λxx1/2I1(2λx) = 1√ λπ . Therefore, L(x) = √ x(1− F1(x)) is slowly varying and 1− F1(x) = x−1/2L(x). Since F1(x) = ∫ x 0 e−λt t I1(λt) dt = ∫ λx 0 e−u u I1(u) du and λ → ∞ we have F1(x) = F (s) = = s−1/2L(s), where for a fixed x > 0, s = λx→∞. By using a result in [8, p. 373] (Chapter XI.5), we obtain P  1− λx∫ 0 e−u u I1(u) du C1(x, 0) ≥ 3 √ y → G1/2(y) as λ → ∞, where the cdf G1/2(y) is the one-sided stable distribution satisfying the condition y1/2[1−G1/2(y)]→ 3 as y →∞. Theorem 3 is proved. Therefore, under Kac’s condition the number of crossing of a level by the telegraph process, i.e., C1(x, 0), is of the order of magnitude √ λ = v. 4. Estimation of the number of level-crossings in higher dimensions. Firstly, let us consider the following modification of a telegraph process. Suppose {θk, k ≥ 1} is a sequence of independent identically distributed exponential random variables with common rate λ > 0 and τn = ∑n k=1 θk, n ≥ 1. A particle starts its motion on a line from the origin and moves in one of two directions with probability 1/2 during the random time θ1. At epoch τn, n ≥ 1, the particle chooses one of two directions on the line with probability 1/2, and keeps moving along this direction with velocity v. By using the notation stated in Section 1, for this process we have ISSN 1027-3190. Укр. мат. журн., 2015, т. 67, № 7 THE FIRST PASSAGE TIME AND AN ESTIMATE OF THE NUMBER OF LEVEL-CROSSINGS . . . 887 ϕ0(s, z) = e− s+λ v z + λ 2v z∫ 0 e− s+λ v u[ϕ0(s, z − u) + ϕ1(s, z − u)] du = = e− s+λ v z 1 + λ 2v z∫ 0 e s+λ v u[ϕ0(s, u) + ϕ1(s, u)] du  , ϕ1(s, z) = λ 2v e s+λ v z ∞∫ z e− s+λ v u[ϕ0(s, u) + ϕ1(s, u)] du. We then differentiate these two equations to obtain the following system: ∂ ∂z ϕ0(s, z) = −s+ λ/2 v ϕ0(s, z) + λ 2v ϕ1(s, u), ∂ ∂z ϕ1(s, z) = s+ λ/2 v ϕ1(s, z)− λ 2v ϕ0(s, u). Much in the same manner as we obtained Eqs. (1), (2) ϕ0(s, z) = e− z v √ s(s+λ), and ϕ1(s, z) = 2s+ λ− 2 √ s(s+ λ) λ e− z v √ s(s+λ). Similarly to the developments in Section 3, we obtain E[Ck(t, 0)] = L−1 ( λ/2 s √ s(s+ λ)− s2 ) = = 1 2 + 1 2 ((1 + λt) I0(λt) + λtI1(λt)) e −λt/2, t ≥ 0. (5) Remark 1. We should note that E[Ck(t, 0)] does not depend on the particle’s velocity v. It follows from Eq. (5) that lim λ→∞ E[Ck(t, 0)]√ λ = √ 2 π √ t. In Kac’s condition we have λ = ε−2, v = ε−1, then E[Ck(t, 0)] ∼ √ 2 π √ t v as ε→ 0. Let {ν(t), t ≥ 0} be a renewal process such that ν(t) = max{m ≥ 0 : τm ≤ t}, where τm = ∑m k=1 θk, τ0 = 0 and θk ≥ 0, k = 1, 2, . . . , are nonnegative iid random variables denoting the ISSN 1027-3190. Укр. мат. журн., 2015, т. 67, № 7 888 A. A. POGORUI, R. M. RODRIGUEZ-DAGNINO, T. KOLOMIIETS interarrival times. We assume that these random variables have a cdf G(t) and that there exists the pdf g(t) = d dt G(t). In most of this paper, we have considered exponentially distributed interrenewal times, i.e., g(t) = λe−λtI{t≥0}. We will study the random motion of a particle that starts from the coordinate origin 0 = = (0, 0, . . . , 0) of the space Rn, at time t = 0, and continues its motion with a velocity v > 0 along the direction η (n) 0 , where η (n) i = (xi1, xi2, . . . , xin) = (x1, x2, . . . , xn), i = 0, 1, 2, . . . , are iid random n-dimensional vectors uniformly distributed on the unit sphere Ωn−1 1 = {(x1, x2, . . . , xn) : x21 + x22 + . . .+ x2n = 1}. At instant τ1 the particle changes its direction to η (n) 1 = (x11, x12, . . . , x1n), and the particle continues its motion with a velocity v > 0 along the direction of η(n) 1 . Then, at instant τ2 the particle changes its direction to η (n) 2 = (x21, x22, . . . , x2n), and continues its motion with a velocity v along the direction of η(n) 2 , and so on. Denote by X(n)(t), t ≥ 0, the particle position at time t. We have that X(n)(t) = v ν(t)∑ j=1 η (n) j−1 (τj − τj−1) + v η (n) ν(t) (t− τν(t)). (6) Basically, Eq. (6) determines the random evolution in the semi-Markov (or renewal) medium ν(t). Thus, ν(t) denotes the number of velocity alternations occurred in the interval (0, t). The probabilistic properties of the random vector X(n)(t) are completely determined by those of its projection X(n)(t) = v ∑m j=1 η (n) j−1(τj − τj−1) + v η (n) ν(t)(t− τν(t)) on a fixed line, where η(n)j is the projection of η(n) j on the line. Indeed, let us consider the cdf FX(y) = P ( X(n)(t) ≤ y ) . Then, the characteristic function (Fourier transform) H(t, α) = H(t) of X(n)(t), where α = ‖α‖ = √ α2 1 + α2 2 + . . .+ α2 n, is given by H(t) = E [ exp { i ( α,X(n)(t) )}] = E [ exp { i ‖α‖ ( e,X(n)(t) )}] = = E [ exp { i αX(n)(t) }] = ∞∫ 0 exp {i αy} dFX(y), where X(n)(t) is the projection of X(n)(t) onto the unit vector e and it has a cdf FX(y). Let us denote by fη(n)(x) the pdf of the projection η(n)j of the vector η(n) j onto a fixed line. It is shown in [9] that fη(n)(x) is of the following form: fη(n)(x) =  Γ (n 2 ) √ π Γ ( n− 1 2 ) (1− x2)(n−3)/2, if x ∈ [−1, 1], 0, if x /∈ [−1, 1]. Hence, it is not hard to verify that the cdf Gn(t) = P [vη (n) i θi ≤ t] is of the form ISSN 1027-3190. Укр. мат. журн., 2015, т. 67, № 7 THE FIRST PASSAGE TIME AND AN ESTIMATE OF THE NUMBER OF LEVEL-CROSSINGS . . . 889 Gn(t) =  1 2 + Γ (n 2 ) √ π Γ ( n− 1 2 ) ∫ 1 0 λe− λt vx (1− x2)(n−3)/2dx, if t ≥ 0, 1 2 − Γ (n 2 ) √ π Γ ( n− 1 2 ) ∫ 1 0 λe λt vx (1− x2)(n−3)/2dx, if t < 0. Denote by Ck(t, 0) the number of crossing the hyperplane H = {x1 = c = constant} of the space Rn = {(x1, x2, . . . , xn)}, xi ∈ R, under the condition that the stochastic process starts from the hyperplane H. The number Ck(t, 0) is also equal to the number of crossing of the level x1 = c by the projection X(n)(t) of X(n)(t) on the line ` = {(t, 0, . . . , 0)} such that t ∈ R. In accordance with Remark 1 the mean value E[Ck(t, 0)] does not depend on the particle’s velocity v. Therefore, E[Ck(t, 0)] = 1 2 + 1 2 ((1 + λt)I0(λt) + λt I1(λt)) e −λ2 t. Under Kac’s condition we have λ = ε−2, v = ε−1, then E[Ck(t, 0)] ∼ √ 2 π √ t v as ε→ 0. It is well-known that under Kac’s condition X(n)(t) weakly converges to an n-dimensional Wiener process W(t) [10]. Acknowledgments. We thank ITESM for the support provided in the development of this work. The authors also warmly thank Professor M. I. Portenko for having posed the problem. 1. Pogorui A. A., Rodrı́guez-Dagnino R. M. One-dimensional semi-Markov evolutions with general Erlang sojourn times // Random Oper. Stochast. Equat. – 2005. – 13. – P. 399 – 405. 2. Korn G. A., Korn T. M. Mathematical handbook for scientists and engineers. – New York: McGraw-Hill Book Co., 1961. 3. Bateman H., Erdélyi A. Higher transcendental functions. – New York: McGraw-Hill Book Co., 1953 – 1955. 4. Prudnikov A. P., Brychkov Yu. A., Marichev O. I. Integrals and series: direct Laplace transforms. – New York: Gordon and Breach Sci. Publ., 1992. 5. Kac M. A stochastic model related to the telegrapher’s equation // Rocky Mountain J. Math. – 1974. – 4. – P. 497 – 509. 6. Cox D. R. Renewal theory. – London: Methuen & Co. Ltd., 1962. 7. Portenko M. I. Diffusion processes in media with membranes // Proc. Inst. Math. Nat. Acad. Sci. Ukraine. – 1995. 8. Feller W. An introduction to probability theory and its applications. – Second Ed. – John Wiley & Sons, 1971. – Vol. II. 9. Pogorui A. A., Rodrı́guez-Dagnino R. M. Random motion with uniformly distributed directions and random velocity // J. Statist. Phys. – 2012. – 147, № 6. – P. 1216 – 1125. 10. Kolesnik D. Random motions at finite speed in higher dimensions // J. Statist. Phys. – 2008. – 131, № 6. – P. 1039 – 1065. Received 13.08.14 ISSN 1027-3190. Укр. мат. журн., 2015, т. 67, № 7
id umjimathkievua-article-2031
institution Ukrains’kyi Matematychnyi Zhurnal
keywords_txt_mv keywords
language English
last_indexed 2026-03-24T02:17:22Z
publishDate 2015
publisher Institute of Mathematics, NAS of Ukraine
record_format ojs
resource_txt_mv umjimathkievua/a3/916e5d6c371b1256bdd176253b49c4a3.pdf
spelling umjimathkievua-article-20312019-12-05T09:49:13Z The First Passage Time and Estimation of the Number of Level-Crossings for a Telegraph Process Час першого досягнення та оцінка числа перетинів рівня для телеграфних процесів Kolomiets, T. Pogorui, A. О. Rodriguez-Dagnino, R. M. Коломиєць, Т. Погоруй, А. О. Родріжес-Дагніно, Р.М. It is a well-known result that almost all sample paths of a Brownian motion or Wiener process {W(t)} have infinitely many zero-crossings in the interval (0, δ) for δ &gt; 0. Under the Kac condition, the telegraph process weakly converges to the Wiener process. We estimate the number of intersections of a level or the number of level-crossings for the telegraph process. Passing to the limit under the Kac condition, we also obtain an estimate of the level-crossings for the Wiener process. Відомо, що майже всі ви6іркові траєкторії броунівського руху чи вінєрівського процесу {W(t) мають нескінченно багато нульових перетинів в інтервалі (0, δ) при δ &gt; 0. За умови Каца телеграфний процес слабко збігається до вінерівського процесу. В роботі оцінюється число перетинів рівня для телеграфного процесу. Переходячи до границі за умови Каца, ми також отримуємо оцінку перетинів рівня для вінерівського процесу. Institute of Mathematics, NAS of Ukraine 2015-07-25 Article Article application/pdf https://umj.imath.kiev.ua/index.php/umj/article/view/2031 Ukrains’kyi Matematychnyi Zhurnal; Vol. 67 No. 7 (2015); 882-889 Український математичний журнал; Том 67 № 7 (2015); 882-889 1027-3190 en https://umj.imath.kiev.ua/index.php/umj/article/view/2031/1080 https://umj.imath.kiev.ua/index.php/umj/article/view/2031/1081 Copyright (c) 2015 Kolomiets T.; Pogorui A. О.; Rodriguez-Dagnino R. M.
spellingShingle Kolomiets, T.
Pogorui, A. О.
Rodriguez-Dagnino, R. M.
Коломиєць, Т.
Погоруй, А. О.
Родріжес-Дагніно, Р.М.
The First Passage Time and Estimation of the Number of Level-Crossings for a Telegraph Process
title The First Passage Time and Estimation of the Number of Level-Crossings for a Telegraph Process
title_alt Час першого досягнення та оцінка числа перетинів рівня для телеграфних процесів
title_full The First Passage Time and Estimation of the Number of Level-Crossings for a Telegraph Process
title_fullStr The First Passage Time and Estimation of the Number of Level-Crossings for a Telegraph Process
title_full_unstemmed The First Passage Time and Estimation of the Number of Level-Crossings for a Telegraph Process
title_short The First Passage Time and Estimation of the Number of Level-Crossings for a Telegraph Process
title_sort first passage time and estimation of the number of level-crossings for a telegraph process
url https://umj.imath.kiev.ua/index.php/umj/article/view/2031
work_keys_str_mv AT kolomietst thefirstpassagetimeandestimationofthenumberoflevelcrossingsforatelegraphprocess
AT pogoruiao thefirstpassagetimeandestimationofthenumberoflevelcrossingsforatelegraphprocess
AT rodriguezdagninorm thefirstpassagetimeandestimationofthenumberoflevelcrossingsforatelegraphprocess
AT kolomiêcʹt thefirstpassagetimeandestimationofthenumberoflevelcrossingsforatelegraphprocess
AT pogorujao thefirstpassagetimeandestimationofthenumberoflevelcrossingsforatelegraphprocess
AT rodrížesdagnínorm thefirstpassagetimeandestimationofthenumberoflevelcrossingsforatelegraphprocess
AT kolomietst časperšogodosâgnennâtaocínkačislaperetinívrívnâdlâtelegrafnihprocesív
AT pogoruiao časperšogodosâgnennâtaocínkačislaperetinívrívnâdlâtelegrafnihprocesív
AT rodriguezdagninorm časperšogodosâgnennâtaocínkačislaperetinívrívnâdlâtelegrafnihprocesív
AT kolomiêcʹt časperšogodosâgnennâtaocínkačislaperetinívrívnâdlâtelegrafnihprocesív
AT pogorujao časperšogodosâgnennâtaocínkačislaperetinívrívnâdlâtelegrafnihprocesív
AT rodrížesdagnínorm časperšogodosâgnennâtaocínkačislaperetinívrívnâdlâtelegrafnihprocesív
AT kolomietst firstpassagetimeandestimationofthenumberoflevelcrossingsforatelegraphprocess
AT pogoruiao firstpassagetimeandestimationofthenumberoflevelcrossingsforatelegraphprocess
AT rodriguezdagninorm firstpassagetimeandestimationofthenumberoflevelcrossingsforatelegraphprocess
AT kolomiêcʹt firstpassagetimeandestimationofthenumberoflevelcrossingsforatelegraphprocess
AT pogorujao firstpassagetimeandestimationofthenumberoflevelcrossingsforatelegraphprocess
AT rodrížesdagnínorm firstpassagetimeandestimationofthenumberoflevelcrossingsforatelegraphprocess