Add to Wishlist
-20%
Elliptic Extensions in Statistical and Stochastic Systems
Publisher: Springer
₹5,511.00 Original price was: ₹5,511.00.₹4,410.00Current price is: ₹4,410.00.
Hermite’s theorem makes it known that there are three levels of mathematical frames in which a simple addition formula is valid. They are rational, q-analogue, and elliptic-analogue.
Usually dispatched in 2 to 3 days
Safe & secure checkout
SKU:
NGS000731
Category:
Mathematics
Hermite’s theorem makes it known that there are three levels of mathematical frames in which a simple addition formula is valid. They are rational, q-analogue, and elliptic-analogue.
Additional information
| Book Format | Hardcover, Softcover |
|---|
Be the first to review “Elliptic Extensions in Statistical and Stochastic Systems” Cancel reply
Book information
Edition
1st Edition
ISBN [Softcover]
9789811995262
Publisher
Springer
Year
2023
Pages
XIV, 125 p.
Series Title
SpringerBriefs in Mathematical Physics
Language
English
Related Products
-20%
A Course in Algebraic Error-Correcting Codes
By Simeon Ball
Provides a rigorous mathematical perspective on error-correcting codes Offers a pathway from the basics to the state-of-the-art, suitable for either independent study or the classroom Corresponds to a one-semester course, where each chapter suits a two-hour lecture Includes numerous helpful exercises with selected solutions provided Includes supplementary material: sn.pub/extras
-20%
A Course in Algebraic Error-Correcting Codes
By Simeon Ball
Provides a rigorous mathematical perspective on error-correcting codes Offers a pathway from the basics to the state-of-the-art, suitable for either independent study or the classroom Corresponds to a one-semester course, where each chapter suits a two-hour lecture Includes numerous helpful exercises with selected solutions provided Includes supplementary material: sn.pub/extras
-20%
A Course in Functional Analysis and Measure Theory
Provides necessary preliminaries Explores basic and advanced material in functional analysis and operator theory, including applications to Fourier series and the Fourier transform Includes over 1500 exercises
-20%
A Course in Functional Analysis and Measure Theory
Provides necessary preliminaries Explores basic and advanced material in functional analysis and operator theory, including applications to Fourier series and the Fourier transform Includes over 1500 exercises
-20%
A Course in Python: The Core of the Language
A hands-on introduction to Python, ideal for a first course or self-study Provides numerous worked-out exercises showing how to write programs in Python Includes several case studies with code, as well as practice problems
-20%
A Course in Python: The Core of the Language
A hands-on introduction to Python, ideal for a first course or self-study Provides numerous worked-out exercises showing how to write programs in Python Includes several case studies with code, as well as practice problems
-20%
(In-)Stability of Differential Inclusions
Lyapunov methods have been and are still one of the main tools to analyze the stability properties of dynamical systems. In this monograph, Lyapunov results characterizing the stability and stability of the origin of differential inclusions are reviewed. To characterize instability and destabilizability, Lyapunov-like functions, called Chetaev and control Chetaev functions in the monograph, are introduced. Based on their definition and by mirroring existing results on stability, analogue results for instability are derived. Moreover, by looking at the dynamics of a differential inclusion in backward time, similarities and differences between stability of the origin in forward time and instability in backward time, and vice versa, are discussed. Similarly, the invariance of the stability and instability properties of the equilibria of differential equations with respect to scaling are summarized. As a final result, ideas combining control Lyapunov and control Chetaev functions to simultaneously guarantee stability, i.e., convergence, and instability, i.e., avoidance, are outlined. The work is addressed at researchers working in control as well as graduate students in control engineering and applied mathematics.
-20%
(In-)Stability of Differential Inclusions
Lyapunov methods have been and are still one of the main tools to analyze the stability properties of dynamical systems. In this monograph, Lyapunov results characterizing the stability and stability of the origin of differential inclusions are reviewed. To characterize instability and destabilizability, Lyapunov-like functions, called Chetaev and control Chetaev functions in the monograph, are introduced. Based on their definition and by mirroring existing results on stability, analogue results for instability are derived. Moreover, by looking at the dynamics of a differential inclusion in backward time, similarities and differences between stability of the origin in forward time and instability in backward time, and vice versa, are discussed. Similarly, the invariance of the stability and instability properties of the equilibria of differential equations with respect to scaling are summarized. As a final result, ideas combining control Lyapunov and control Chetaev functions to simultaneously guarantee stability, i.e., convergence, and instability, i.e., avoidance, are outlined. The work is addressed at researchers working in control as well as graduate students in control engineering and applied mathematics.

Reviews
There are no reviews yet.