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Wireless Ad Hoc and Sensor Networks

Wireless Ad Hoc and Sensor Networks

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56 <strong>Wireless</strong> <strong>Ad</strong> <strong>Hoc</strong> <strong>and</strong> <strong>Sensor</strong> <strong>Networks</strong>If Q is symmetric, then it is positive definite if <strong>and</strong> only if all its eigenvaluesare positive <strong>and</strong> positive semidefinite if <strong>and</strong> only if all its eigenvaluesare nonnegative. If Q is not symmetric, tests are more complicated<strong>and</strong> involve determining the minors of the matrix. Tests for negativedefiniteness <strong>and</strong> semidefiniteness may be found by noting that Q is negative(semi) definite if <strong>and</strong> only if Q is positive (semi) definite.If Q is a symmetric matrix, its singular values are the magnitudes of itseigenvalues. If Q is a symmetric positive semidefinite matrix, its singularvalues <strong>and</strong> its eigenvalues are the same. If Q is positive semidefinite then,for any vector x , one has the useful inequalityσmin2( Q)| x| x T2≤ Qx≤σ( Q)| x|max(2.20)2.2.2 Continuity <strong>and</strong> Function NormsnmGiven a subset S ⊂R , a function f( x): S→R is continuous on x0 ∈Sif,for every ε > 0, there exists a δε ( , x 0 ) > 0 such that | x− x0| < δε ( , x0)impliesthat |( f x) − f( x0)| < ε.If δ is independent of x 0 , then the function is said tobe uniformly continuous. Uniform continuity is often difficult to test.However, if f( x) is continuous <strong>and</strong> its derivative f′( x)is bounded, then itis uniformly continuous.n mA function f( x):R →R is differentiable if its derivative f′( x)exists.It is continuously differentiable, if its derivative exists <strong>and</strong> is continuous.nf( x) is said to be locally Lipschitz if, for all x, z∈S⊂R, one has|( f x) − f()| z < L| x−z|(2.21)for some finite constant LS ( ), where L is known as a Lipschitz constant.nIf S =R , then the function is globally Lipschitz.If f( x)is globally Lipschitz, then it is uniformly continuous. If it iscontinuously differentiable, it is locally Lipschitz. If it is differentiable, itis continuous. For example, f( x)= x2 is continuously differentiable. It islocally, but not globally, Lipschitz. It is continuous but not uniformlycontinuous.nGiven a function ft ():[ 0, ∞→R ) , according to Barbalat’s Lemma, if∞∫ 0ftdt () ≤∞(2.22)<strong>and</strong> ft () is uniformly continuous, then ft ()→ 0 as t →∞.

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