FACTOID # 65: In the 1990's, nearly half of all arms exported to developing countries came from the United States of America.
 
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Encyclopedia > Marginal stability

In the theory of dynamical systems, a linear time-invariant system is marginally stable if every eigenvalue in the system's transfer-function is non-positive, and all eigenvalues with zero real value are simple roots. In engineering and mathematics, a dynamical system is a deterministic process in which a functions value changes over time according to a rule that is defined in terms of the functions current value. ... A linear system is a model based on some kind of linear operator. ... A time-invariant system is one whose output does not depend explicitly on time. ... In mathematics, a number is called an eigenvalue of a matrix if there exists a nonzero vector such that the matrix times the vector is equal to the same vector multiplied by the eigenvalue. ... A transfer function is a mathematical representation of the relation between the input and output of a linear time-invariant system. ... A negative number is a number that is less than zero, such as −3. ...

lambda_{i} leq 0 quad forall_{i}

  Results from FactBites:
 
Sveriges Riksbank/Riksbanken - Glossary (1301 words)
The central bank undertakes to ensure that the value of the currency is stable in relation to some other currency or currencies.
The marginal rate was determined by the level in the interest rate stairs that the Riksbank applied on a daily basis.
Thus, it was a marginal rate of interest at which banks borrowed or deposited funds at the Riksbank.
Marginal stability - Wikipedia, the free encyclopedia (262 words)
In the theory of dynamical systems, and control theory, a continuous linear time-invariant system is marginally stable if and only if the real part of every eigenvalue (or pole) in the system's transfer-function is non-positive, and all eigenvalues with zero real value are simple roots (i.e.
A discrete linear time-invariant system is marginally stable if and only if the transfer function's spectral radius is 1.
A marginally stable system is one that, if given an impulse of finite magnitude as input, will not "blow up" and give an unbounded output.
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