Peithmann Dierk (7 results)
Stochastic Resonance A Mathematical Approach in the Small Noise Limit
Herrmann, Samuel/ Imkeller, Peter/ Pavlyukevich, Ilya/ Peithmann, Dierk
- Hardcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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US$ 138.07
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Hardcover. Condition: Brand New. 189 pages. 10.50x7.50x0.75 inches. In Stock.
Stochastic Resonance : A Mathematical Approach in the Small Noise Limit
Herrmann, Samuel; Imkeller, Peter; Pavlyukevich, Ilya; Peithmann, Dierk
- Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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US$ 152.28
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Condition: New.
- Hardcover
Seller: Rarewaves.com USA, London, LONDO, United KingdomRarewaves.com USA
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US$ 164.22
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Hardback. Condition: New. Stochastic resonance is a phenomenon arising in a wide spectrum of areas in the sciences ranging from physics through neuroscience to chemistry and biology. This book presents a mathematical approach to stochastic resonance which is based on a large deviations principle (LDP) for randomly perturbed dyna…mical systems with a weak inhomogeneity given by an exogenous periodicity of small frequency. Resonance, the optimal tuning between period length and noise amplitude, is explained by optimising the LDP's rate function. The authors show that not all physical measures of tuning quality are robust with respect to dimension reduction. They propose measures of tuning quality based on exponential transition rates explained by large deviations techniques and show that these measures are robust. The book sheds some light on the shortcomings and strengths of different concepts used in the theory and applications of stochastic resonance without attempting to give a comprehensive overview of the many facets of stochastic resonance in the various areas of sciences. It is intended for researchers and graduate students in mathematics and the sciences interested in stochastic dynamics who wish to understand the conceptual background of stochastic resonance.
Stochastic Resonance : A Mathematical Approach in the Small Noise Limit
Herrmann, Samuel; Imkeller, Peter; Pavlyukevich, Ilya; Peithmann, Dierk
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
Contact seller5-star sellerCondition: New
US$ 158.78
US$ 20.24 shippingShips from United Kingdom to U.S.A.Quantity: 2 available
Condition: New.
Stochastic Resonance : A Mathematical Approach in the Small Noise Limit
Herrmann, Samuel; Imkeller, Peter; Pavlyukevich, Ilya; Peithmann, Dierk
- Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
Contact seller5-star sellerCondition: Used - As new
US$ 174.19
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Condition: As New. Unread book in perfect condition.
Stochastic Resonance : A Mathematical Approach in the Small Noise Limit
Herrmann, Samuel; Imkeller, Peter; Pavlyukevich, Ilya; Peithmann, Dierk
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
Contact seller5-star sellerCondition: Used - As new
US$ 180.80
US$ 20.24 shippingShips from United Kingdom to U.S.A.Quantity: 2 available
Condition: As New. Unread book in perfect condition.
- Hardcover
Seller: Rarewaves.com UK, London, United KingdomRarewaves.com UK
Contact seller5-star sellerCondition: New
US$ 158.79
US$ 87.69 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
Hardback. Condition: New. Stochastic resonance is a phenomenon arising in a wide spectrum of areas in the sciences ranging from physics through neuroscience to chemistry and biology. This book presents a mathematical approach to stochastic resonance which is based on a large deviations principle (LDP) for randomly perturbed dyna…mical systems with a weak inhomogeneity given by an exogenous periodicity of small frequency. Resonance, the optimal tuning between period length and noise amplitude, is explained by optimising the LDP's rate function. The authors show that not all physical measures of tuning quality are robust with respect to dimension reduction. They propose measures of tuning quality based on exponential transition rates explained by large deviations techniques and show that these measures are robust. The book sheds some light on the shortcomings and strengths of different concepts used in the theory and applications of stochastic resonance without attempting to give a comprehensive overview of the many facets of stochastic resonance in the various areas of sciences. It is intended for researchers and graduate students in mathematics and the sciences interested in stochastic dynamics who wish to understand the conceptual background of stochastic resonance.
