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  • 标题:The <svg style="vertical-align:-0.27pt;width:16.775px;" id="M1" height="15.7" version="1.1" viewBox="0 0 16.775 15.7" width="16.775" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg"> <g transform="matrix(.022,-0,0,-.022,.062,15.3)"><path id="x1D4AE" d="M397 143l-20 -4q-20 68 -52 92.5t-84 24.5q-41 0 -76 -34q-36 -33 -36 -85t41 -87q43 -35 102 -35q75 0 134 47t59 129q0 29 -16 56.5t-39.5 51l-46.5 48t-39 57t-16 68.5q0 66 42 116q77 92 211 92q55 0 98 -29q42 -29 42 -87q0 -54 -45 -91q-44 -38 -97 -38v21&#xA;q49 5 79 33.5t30 73.5q0 40 -30 60.5t-78 20.5q-64 0 -119 -45q-56 -44 -56 -108q0 -30 16.5 -58.5t40.5 -52.5l48 -49t40.5 -58t16.5 -69q0 -99 -82 -159q-83 -60 -201 -60q-80 0 -139 39q-58 39 -58 118q0 70 50 114q50 43 117 43q63 0 108.5 -40.5t54.5 -115.5z" /></g> </svg>-Transform of Sub-fBm and an Application to a Class of Linear Subfractional BSDEs
  • 本地全文:下载
  • 作者:Zhi Wang ; Litan Yan
  • 期刊名称:Advances in Mathematical Physics
  • 印刷版ISSN:1687-9120
  • 电子版ISSN:1687-9139
  • 出版年度:2013
  • 卷号:2013
  • DOI:10.1155/2013/827192
  • 出版社:Hindawi Publishing Corporation
  • 摘要:Let be a subfractional Brownian motion with index . Based on the -transform in white noise analysis we study the stochastic integral with respect to , and we also prove a Girsanov theorem and derive an It&#xf4; formula. As an application we study the solutions of backward stochastic differential equations driven by of the form , where the stochastic integral used in the above equation is Pettis integral. We obtain the explicit solutions of this class of equations under suitable assumptions.
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