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
A Statistical Mechanical Interpretat...
~
Tadaki, Kohtaro.
A Statistical Mechanical Interpretation of Algorithmic Information Theory
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
A Statistical Mechanical Interpretation of Algorithmic Information Theory/ by Kohtaro Tadaki.
作者:
Tadaki, Kohtaro.
面頁冊數:
XI, 136 p. 1 illus.online resource. :
Contained By:
Springer Nature eBook
標題:
Mathematical physics. -
電子資源:
https://doi.org/10.1007/978-981-15-0739-7
ISBN:
9789811507397
A Statistical Mechanical Interpretation of Algorithmic Information Theory
Tadaki, Kohtaro.
A Statistical Mechanical Interpretation of Algorithmic Information Theory
[electronic resource] /by Kohtaro Tadaki. - 1st ed. 2019. - XI, 136 p. 1 illus.online resource. - SpringerBriefs in Mathematical Physics,362197-1757 ;. - SpringerBriefs in Mathematical Physics,8.
Statistical Mechanical Interpretation of Noiseless Source Coding -- Algorithmic Information Theory -- Partial Randomness -- Temperature Equals to Partial Randomness -- Fixed Point Theorems on Partial Randomness -- Statistical Mechanical Meaning of the Thermodynamic Quantities of AIT -- The Partial Randomness of Recursively Enumerable Reals -- Computation-Theoretic Clarification of the Phase Transition at Temperature T=1 -- Other Related Results and Future Development. .
This book is the first one that provides a solid bridge between algorithmic information theory and statistical mechanics. Algorithmic information theory (AIT) is a theory of program size and recently is also known as algorithmic randomness. AIT provides a framework for characterizing the notion of randomness for an individual object and for studying it closely and comprehensively. In this book, a statistical mechanical interpretation of AIT is introduced while explaining the basic notions and results of AIT to the reader who has an acquaintance with an elementary theory of computation. A simplification of the setting of AIT is the noiseless source coding in information theory. First, in the book, a statistical mechanical interpretation of the noiseless source coding scheme is introduced. It can be seen that the notions in statistical mechanics such as entropy, temperature, and thermal equilibrium are translated into the context of noiseless source coding in a natural manner. Then, the framework of AIT is introduced. On this basis, the introduction of a statistical mechanical interpretation of AIT is begun. Namely, the notion of thermodynamic quantities, such as free energy, energy, and entropy, is introduced into AIT. In the interpretation, the temperature is shown to be equal to the partial randomness of the values of all these thermodynamic quantities, where the notion of partial randomness is a stronger representation of the compression rate measured by means of program-size complexity. Additionally, it is demonstrated that this situation holds for the temperature itself as a thermodynamic quantity. That is, for each of all the thermodynamic quantities above, the computability of its value at temperature T gives a sufficient condition for T to be a fixed point on partial randomness. In this groundbreaking book, the current status of the interpretation from both mathematical and physical points of view is reported. For example, a total statistical mechanical interpretation of AIT that actualizes a perfect correspondence to normal statistical mechanics can be developed by identifying a microcanonical ensemble in the framework of AIT. As a result, the statistical mechanical meaning of the thermodynamic quantities of AIT is clarified. In the book, the close relationship of the interpretation to Landauer's principle is pointed out.
ISBN: 9789811507397
Standard No.: 10.1007/978-981-15-0739-7doiSubjects--Topical Terms:
527831
Mathematical physics.
LC Class. No.: QA401-425
Dewey Class. No.: 530.15
A Statistical Mechanical Interpretation of Algorithmic Information Theory
LDR
:04248nam a22004095i 4500
001
1012384
003
DE-He213
005
20200704135959.0
007
cr nn 008mamaa
008
210106s2019 si | s |||| 0|eng d
020
$a
9789811507397
$9
978-981-15-0739-7
024
7
$a
10.1007/978-981-15-0739-7
$2
doi
035
$a
978-981-15-0739-7
050
4
$a
QA401-425
050
4
$a
QC19.2-20.85
072
7
$a
PHU
$2
bicssc
072
7
$a
SCI040000
$2
bisacsh
072
7
$a
PHU
$2
thema
082
0 4
$a
530.15
$2
23
100
1
$a
Tadaki, Kohtaro.
$e
author.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1306634
245
1 2
$a
A Statistical Mechanical Interpretation of Algorithmic Information Theory
$h
[electronic resource] /
$c
by Kohtaro Tadaki.
250
$a
1st ed. 2019.
264
1
$a
Singapore :
$b
Springer Singapore :
$b
Imprint: Springer,
$c
2019.
300
$a
XI, 136 p. 1 illus.
$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 Mathematical Physics,
$x
2197-1757 ;
$v
36
505
0
$a
Statistical Mechanical Interpretation of Noiseless Source Coding -- Algorithmic Information Theory -- Partial Randomness -- Temperature Equals to Partial Randomness -- Fixed Point Theorems on Partial Randomness -- Statistical Mechanical Meaning of the Thermodynamic Quantities of AIT -- The Partial Randomness of Recursively Enumerable Reals -- Computation-Theoretic Clarification of the Phase Transition at Temperature T=1 -- Other Related Results and Future Development. .
520
$a
This book is the first one that provides a solid bridge between algorithmic information theory and statistical mechanics. Algorithmic information theory (AIT) is a theory of program size and recently is also known as algorithmic randomness. AIT provides a framework for characterizing the notion of randomness for an individual object and for studying it closely and comprehensively. In this book, a statistical mechanical interpretation of AIT is introduced while explaining the basic notions and results of AIT to the reader who has an acquaintance with an elementary theory of computation. A simplification of the setting of AIT is the noiseless source coding in information theory. First, in the book, a statistical mechanical interpretation of the noiseless source coding scheme is introduced. It can be seen that the notions in statistical mechanics such as entropy, temperature, and thermal equilibrium are translated into the context of noiseless source coding in a natural manner. Then, the framework of AIT is introduced. On this basis, the introduction of a statistical mechanical interpretation of AIT is begun. Namely, the notion of thermodynamic quantities, such as free energy, energy, and entropy, is introduced into AIT. In the interpretation, the temperature is shown to be equal to the partial randomness of the values of all these thermodynamic quantities, where the notion of partial randomness is a stronger representation of the compression rate measured by means of program-size complexity. Additionally, it is demonstrated that this situation holds for the temperature itself as a thermodynamic quantity. That is, for each of all the thermodynamic quantities above, the computability of its value at temperature T gives a sufficient condition for T to be a fixed point on partial randomness. In this groundbreaking book, the current status of the interpretation from both mathematical and physical points of view is reported. For example, a total statistical mechanical interpretation of AIT that actualizes a perfect correspondence to normal statistical mechanics can be developed by identifying a microcanonical ensemble in the framework of AIT. As a result, the statistical mechanical meaning of the thermodynamic quantities of AIT is clarified. In the book, the close relationship of the interpretation to Landauer's principle is pointed out.
650
0
$a
Mathematical physics.
$3
527831
650
0
$a
Algorithms.
$3
527865
650
0
$a
Data structures (Computer science).
$3
680370
650
0
$a
Statistical physics.
$3
528048
650
1 4
$a
Mathematical Physics.
$3
786661
650
2 4
$a
Data Structures and Information Theory.
$3
1211601
650
2 4
$a
Statistical Physics and Dynamical Systems.
$3
1114011
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9789811507380
776
0 8
$i
Printed edition:
$z
9789811507403
830
0
$a
SpringerBriefs in Mathematical Physics,
$x
2197-1757 ;
$v
8
$3
1263793
856
4 0
$u
https://doi.org/10.1007/978-981-15-0739-7
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