dc.contributor.advisor | 陳隆奇 | zh_TW |
dc.contributor.advisor | Chen, Lung-Chi | en_US |
dc.contributor.author (Authors) | 林宸旭 | zh_TW |
dc.contributor.author (Authors) | Lin, Chen-Hsu | en_US |
dc.creator (作者) | 林宸旭 | zh_TW |
dc.creator (作者) | Lin, Chen-Hsu | en_US |
dc.date (日期) | 2022 | en_US |
dc.date.accessioned | 1-Apr-2022 15:04:20 (UTC+8) | - |
dc.date.available | 1-Apr-2022 15:04:20 (UTC+8) | - |
dc.date.issued (上傳時間) | 1-Apr-2022 15:04:20 (UTC+8) | - |
dc.identifier (Other Identifiers) | G0108751011 | en_US |
dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/139556 | - |
dc.description (描述) | 碩士 | zh_TW |
dc.description (描述) | 國立政治大學 | zh_TW |
dc.description (描述) | 應用數學系 | zh_TW |
dc.description (描述) | 108751011 | zh_TW |
dc.description.abstract (摘要) | 在本篇文章中,我們將介紹在二維三角點陣上的簡單隨機漫步。我們首先介紹位勢核函數a(x),其中x ∈ Z2,我們求得在∥x∥ 趨近於無窮下,a(x) 會近似於ln ∥x∥,並對其收斂速度進行討論。此外,假設Sn 為一在三角點陣上的簡單隨機漫步,我們觀察到a(Sn) 在不通過原點的情況下是為鞅,我們設Sn 的起始點位於大小兩圓B(R) 與B(r) 之間,利用可選停止定理,我們將a(·) 與逃脫兩圓之間機率做了連結,並且我們發現在R 趨近於無窮下先碰到大圓B(R) 的機率為O(1/ lnR)。在特別情況下,我們也能求得逃脫原點的機率。再者,比較三角點陣與正方點陣,我們觀察到兩者在逃脫大小圓的機率行為是沒有差別的。最後,我們介紹了有關調和測度與容度,這些工具可以將我們的結果延伸至逃脫任意有限集合,我們也介紹些定理證明調和測度是為從無窮遠處開始到入口點的機率,並一樣討論其收斂速度。 | zh_TW |
dc.description.abstract (摘要) | In this thesis, we will introduce the simple random walk on the triangular lattice. We first introduce the potential kernel function a(x) for x ∈ Z2. We conclude that a(x) ≈ ln ∥x∥ as ∥x∥ → ∞. Moreover, the rate of convergence isdiscussed too. Besides, let Sn be the simple random walk on the triangular lattice. We observe that a(Sn) is amartingale without visiting the origin. We set our Snstarting at the point between two circle, B(r) and B(R) with r < R. Using the optional stopping theorem, we make the connection between a(·) and escaping probability from two circle. Moreover, as R → ∞, we find that the probabilitythat visiting B(R) first is O(1/ lnR). In the specific case, we can also find the probability that escaping from the origin. Futhermore, compare triangular lattice with the square lattice, we observe that there is no difference between them in the behavior of escaping from circle.Finally, we introduce the concept of harmonic measure and capacity. These can extend our results to calculate the probability of escaping from any finite set. We also introduce some theorem to prove that the harmonic measure is the probability of entrance point starting at infinity and also discuss the rate of convergence. | en_US |
dc.description.tableofcontents | 致謝 i中文摘要 iiAbstract iiiContents ivList of Tables vList of Figures vi1 Introduction 11.1 Random Walk 11.2 Triangular Lattice and Spread out Model 31.3 Notation 42 Main Result 52.1 Potential Kernel on Integer Lattice 52.2 Potential Kernel on Triangular Lattice 163 Proposition on Triangular Lattice 183.1 Escaping Probability 183.2 Green’s Function 254 Harmonic Measure and Capacity 274.1 Harmonic Measure 274.2 Capacity 31Bibliography 33 | zh_TW |
dc.format.extent | 1275476 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.source.uri (資料來源) | http://thesis.lib.nccu.edu.tw/record/#G0108751011 | en_US |
dc.subject (關鍵詞) | 隨機漫步 | zh_TW |
dc.subject (關鍵詞) | 位勢核 | zh_TW |
dc.subject (關鍵詞) | 振盪積分 | zh_TW |
dc.subject (關鍵詞) | 鞅 | zh_TW |
dc.subject (關鍵詞) | 可選停止定理 | zh_TW |
dc.subject (關鍵詞) | 調和測度 | zh_TW |
dc.subject (關鍵詞) | 容度 | zh_TW |
dc.subject (關鍵詞) | Random walk | en_US |
dc.subject (關鍵詞) | Potential kernel | en_US |
dc.subject (關鍵詞) | Oscillatory integral | en_US |
dc.subject (關鍵詞) | Martingale | en_US |
dc.subject (關鍵詞) | Optional stopping theorem | en_US |
dc.subject (關鍵詞) | Harmonic measure | en_US |
dc.subject (關鍵詞) | Capacity | en_US |
dc.title (題名) | 三角點陣上的簡單隨機漫步 | zh_TW |
dc.title (題名) | Simple Random Walk on Triangle Lattice | en_US |
dc.type (資料類型) | thesis | en_US |
dc.relation.reference (參考文獻) | [1] Robert Brown. Xxvii. a brief account of microscopical observations made in the months of june, july and august 1827, on the particles contained in the pollen of plants; and on the general existence of active molecules in organic and inorganic bodies. The philosophical magazine, 4(21):161–173, 1828.[2] Monroe D Donsker. An invariance principle for certain probability linit theorems. AMS, 1951.[3] Albert Einstein et al. On the motion of small particles suspended in liquids at rest required by the molecularkinetic theory of heat. Annalen der physik, 17(549560): 208, 1905.[4] Yasunari Fukai and Kôhei Uchiyama. Potential kernel for two dimensional random walk. The Annals of Probability, 24(4):1979–1992, 1996.[5] Takashi Hara, Gordon Slade, and Remco van der Hofstad. Critical two point functions and the lace expansion forspread out highdimensional percolation and related models. The Annals of Probability, 31(1):349–408, 2003.[6] Gregory F Lawler and Vlada Limic. Random walk: a modern introduction, volume 123. Cambridge University Press, 2010.[7] Paul Lévy. Propriétés asymptotiques des sommes de variables aléatoires indépendantes ou enchaînées. J. Math, 14(4), 1935.[8] Karl Pearson. The problem of the random walk. Nature, 72(1867):342–342, 1905.[9] Georg Pólya. Über eine aufgabe der wahrscheinlichkeitsrechnung betreffend die irrfahrt im straßennetz. Mathematische Annalen, 84(1):149–160, 1921.[10] Serguei Popov. Two dimensional Random Walk: From Path Counting to Random Interlacements, volume 13. Cambridge University Press, 2021.[11] Frank Spitzer. Principles of random walk, volume 34. Springer Science & Business Media, 2001. | zh_TW |
dc.identifier.doi (DOI) | 10.6814/NCCU202200379 | en_US |