語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Lectures on Random Interfaces
~
Funaki, Tadahisa.
Lectures on Random Interfaces
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Lectures on Random Interfaces/ by Tadahisa Funaki.
作者:
Funaki, Tadahisa.
面頁冊數:
XII, 138 p. 44 illus., 9 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Probabilities. -
電子資源:
https://doi.org/10.1007/978-981-10-0849-8
ISBN:
9789811008498
Lectures on Random Interfaces
Funaki, Tadahisa.
Lectures on Random Interfaces
[electronic resource] /by Tadahisa Funaki. - 1st ed. 2016. - XII, 138 p. 44 illus., 9 illus. in color.online resource. - SpringerBriefs in Probability and Mathematical Statistics,2365-4333. - SpringerBriefs in Probability and Mathematical Statistics,.
Interfaces are created to separate two distinct phases in a situation in which phase coexistence occurs. This book discusses randomly fluctuating interfaces in several different settings and from several points of view: discrete/continuum, microscopic/macroscopic, and static/dynamic theories. The following four topics in particular are dealt with in the book. Assuming that the interface is represented as a height function measured from a fixed-reference discretized hyperplane, the system is governed by the Hamiltonian of gradient of the height functions. This is a kind of effective interface model called ∇φ-interface model. The scaling limits are studied for Gaussian (or non-Gaussian) random fields with a pinning effect under a situation in which the rate functional of the corresponding large deviation principle has non-unique minimizers. Young diagrams determine decreasing interfaces, and their dynamics are introduced. The large-scale behavior of such dynamics is studied from the points of view of the hydrodynamic limit and non-equilibrium fluctuation theory. Vershik curves are derived in that limit. A sharp interface limit for the Allen–Cahn equation, that is, a reaction–diffusion equation with bistable reaction term, leads to a mean curvature flow for the interfaces. Its stochastic perturbation, sometimes called a time-dependent Ginzburg–Landau model, stochastic quantization, or dynamic P(φ)-model, is considered. Brief introductions to Brownian motions, martingales, and stochastic integrals are given in an infinite dimensional setting. The regularity property of solutions of stochastic PDEs (SPDEs) of a parabolic type with additive noises is also discussed. The Kardar–Parisi–Zhang (KPZ) equation , which describes a growing interface with fluctuation, recently has attracted much attention. This is an ill-posed SPDE and requires a renormalization. Especially its invariant measures are studied. .
ISBN: 9789811008498
Standard No.: 10.1007/978-981-10-0849-8doiSubjects--Topical Terms:
527847
Probabilities.
LC Class. No.: QA273.A1-274.9
Dewey Class. No.: 519.2
Lectures on Random Interfaces
LDR
:03352nam a22004095i 4500
001
982153
003
DE-He213
005
20200704022838.0
007
cr nn 008mamaa
008
201211s2016 si | s |||| 0|eng d
020
$a
9789811008498
$9
978-981-10-0849-8
024
7
$a
10.1007/978-981-10-0849-8
$2
doi
035
$a
978-981-10-0849-8
050
4
$a
QA273.A1-274.9
050
4
$a
QA274-274.9
072
7
$a
PBT
$2
bicssc
072
7
$a
MAT029000
$2
bisacsh
072
7
$a
PBT
$2
thema
072
7
$a
PBWL
$2
thema
082
0 4
$a
519.2
$2
23
100
1
$a
Funaki, Tadahisa.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1116531
245
1 0
$a
Lectures on Random Interfaces
$h
[electronic resource] /
$c
by Tadahisa Funaki.
250
$a
1st ed. 2016.
264
1
$a
Singapore :
$b
Springer Singapore :
$b
Imprint: Springer,
$c
2016.
300
$a
XII, 138 p. 44 illus., 9 illus. in color.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
490
1
$a
SpringerBriefs in Probability and Mathematical Statistics,
$x
2365-4333
520
$a
Interfaces are created to separate two distinct phases in a situation in which phase coexistence occurs. This book discusses randomly fluctuating interfaces in several different settings and from several points of view: discrete/continuum, microscopic/macroscopic, and static/dynamic theories. The following four topics in particular are dealt with in the book. Assuming that the interface is represented as a height function measured from a fixed-reference discretized hyperplane, the system is governed by the Hamiltonian of gradient of the height functions. This is a kind of effective interface model called ∇φ-interface model. The scaling limits are studied for Gaussian (or non-Gaussian) random fields with a pinning effect under a situation in which the rate functional of the corresponding large deviation principle has non-unique minimizers. Young diagrams determine decreasing interfaces, and their dynamics are introduced. The large-scale behavior of such dynamics is studied from the points of view of the hydrodynamic limit and non-equilibrium fluctuation theory. Vershik curves are derived in that limit. A sharp interface limit for the Allen–Cahn equation, that is, a reaction–diffusion equation with bistable reaction term, leads to a mean curvature flow for the interfaces. Its stochastic perturbation, sometimes called a time-dependent Ginzburg–Landau model, stochastic quantization, or dynamic P(φ)-model, is considered. Brief introductions to Brownian motions, martingales, and stochastic integrals are given in an infinite dimensional setting. The regularity property of solutions of stochastic PDEs (SPDEs) of a parabolic type with additive noises is also discussed. The Kardar–Parisi–Zhang (KPZ) equation , which describes a growing interface with fluctuation, recently has attracted much attention. This is an ill-posed SPDE and requires a renormalization. Especially its invariant measures are studied. .
650
0
$a
Probabilities.
$3
527847
650
0
$a
Partial differential equations.
$3
1102982
650
0
$a
Mathematical physics.
$3
527831
650
1 4
$a
Probability Theory and Stochastic Processes.
$3
593945
650
2 4
$a
Partial Differential Equations.
$3
671119
650
2 4
$a
Mathematical Physics.
$3
786661
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9789811008481
776
0 8
$i
Printed edition:
$z
9789811008504
830
0
$a
SpringerBriefs in Probability and Mathematical Statistics,
$x
2365-4333
$3
1264581
856
4 0
$u
https://doi.org/10.1007/978-981-10-0849-8
912
$a
ZDB-2-SMA
912
$a
ZDB-2-SXMS
950
$a
Mathematics and Statistics (SpringerNature-11649)
950
$a
Mathematics and Statistics (R0) (SpringerNature-43713)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入