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Differentiation, rules for

The state vector Z(t) = [Zi(t), Z 2(1), Z 3(01 is driven by two independent Poisson processes, and hence, it is a nondiffusive Markov process. Equations for moments may be derived firom the generalized Ito s differential rule for Poisson-driven Markov processes. [Pg.1706]

The fimdamental kinetic master equations for collisional energy redistribution follow the rules of the kinetic equations for all elementary reactions. Indeed an energy transfer process by inelastic collision, equation (A3.13.5). can be considered as a somewhat special reaction . The kinetic differential equations for these processes have been discussed in the general context of chapter A3.4 on gas kmetics. We discuss here some special aspects related to collisional energy transfer in reactive systems. The general master equation for relaxation and reaction is of the type [H, 12 and 13, 15, 25, 40, 4T ] ... [Pg.1050]

In conjunction with the use of isoparametric elements it is necessary to express the derivatives of nodal functions in terms of local coordinates. This is a straightforward procedure for elements with C continuity and can be described as follows Using the chain rule for differentiation of functions of multiple variables, the derivative of a function in terms of local variables ij) can be expressed as... [Pg.37]

Dijferentiation Here the application of the general rules for differentiating under the integral sign may be useful. [Pg.448]

The derivative of a vector is the vector sum of the derivatives of its components. The usual rules for differentiation apply ... [Pg.8]

This gives us the general rule for relating force to mutual potential energy you differentiate the force with respect to the coordinates of the particle of interest. [Pg.27]

This is the fundamental differential equation. The reader who is acquainted with the rules for transforming the variables in a surface integral will observe that it has the geometrical interpretation that corresponding elements of area on the (v, p) and (s, T) diagrams are equal (cf. 43). [Pg.103]

SQ denotes the same element of heat hence the coefficients (c s, Z s, and 7 s) are not independent, but are related. The relations are obtained from the equations (1) and the rules for the change of the independent variable in the calculus. For the transformation of the differentials we have ... [Pg.119]

Strictly speaking, finite difference or finite element solutions to differential equations are simply multiplying the number of comparments many times, but the mathematical rules for linking cells in difference calculations are rigorously set by the form of the equations. [Pg.98]

Capacitor manufacturers recommend that in general we don t pass any more current than the maximum rated ripple current. This ripple current is the one specified at the worst case ambient (e.g., 105°C). Even at lower temperatures we should not exceed this current rating. No temperature multipliers should be used. Because only then is the case to core temperature differential within the design specifications of the part. And only then are we allowed to apply the simple 10°C doubling rule for life. [Pg.105]

The trouble is now that the source term does not include the sum of sines, so we will use a trick resting on the Leibniz s rule for differentiating integrals. A particular solution of the diffusion equation with radiogenic accumulation is... [Pg.441]

Treating as an independent variable, the chain rule for functional differentiation gives... [Pg.241]

The transformation rule given in Eq. (2.166) is instead an example to the so-called Ito formula for the transformation of the drift coefficients in Ito stochastic differential equations [16]. ft is shown in Section IX that V q) and V ( ) are equal to the drift coefficients that appear in the Ito formulation of the stochastic differential equations for the generalized and Cartesian coordinates, respectively. [Pg.105]

Stratonovich SDEs, unlike Ito SDEs, may thus be manipulated using the familiar calculus of differentiable functions, rather than the Ito calculus. This property of a Stratonovich SDE may be shown to follow from the Ito transformation rule for the equivalent Ito SDE. It also follows immediately from the definition of the Stratonovich SDE as the white-noise limit of an ordinary differential equation, since the coefficients in the underlying ODE may be legitimately manipulated by the usual rules of calculus. [Pg.128]

By using the chain rule for differentiation and the orthogonality of the basis vectors, we then obtain... [Pg.180]

The mathematical notion of an operator may be unfamiliar it is a rule for modifying a function. A comparison of the ideas of operator and function may be useful Whereas a function acts to take an argument, called the independent variable, as input, and produces a value, called the dependent variable an operator takes 2l function as input and produces a function as output. Multiphcation of a function by a constant, taking a square or square root, differentiation or integration, are examples of operators. Table 8.1 contains examples of functions and operators. [Pg.66]

An anatomic circumstance that sometimes creates exceptions to the above rules for differential nerve block is the location of the fibers within the peripheral nerve bundle. In large nerve trunks, fibers located circumferentially are the first to be exposed to the local anesthetic when it is administered into the tissue surrounding the nerve. In the extremities, proximal sensory fibers are located in the outer portion of the nerve trunk, whereas the distal sensory innervation is located in the central core of the nerve. Thus, during infiltration block of a large nerve, sensory analgesia first develops proximally and then spreads distally as the drug penetrates deeper into the core of the nerve. [Pg.567]

As a general rule, when a calculation with differential operators proves mysterious, it is often helpful to apply the operators in question to an arbitrary function. This example shows that composition of partial differential operators is not commutative. The point is that when one variable is used both for differentiation and in a coefficient, the product rule for multipUcation yields an extra term. [Pg.242]


See other pages where Differentiation, rules for is mentioned: [Pg.154]    [Pg.275]    [Pg.1702]    [Pg.1705]    [Pg.154]    [Pg.275]    [Pg.1702]    [Pg.1705]    [Pg.178]    [Pg.178]    [Pg.242]    [Pg.2311]    [Pg.102]    [Pg.307]    [Pg.599]    [Pg.638]    [Pg.147]    [Pg.447]    [Pg.447]    [Pg.24]    [Pg.43]    [Pg.186]    [Pg.418]    [Pg.27]    [Pg.205]    [Pg.302]    [Pg.241]    [Pg.241]    [Pg.118]    [Pg.136]    [Pg.199]    [Pg.213]    [Pg.28]    [Pg.159]   
See also in sourсe #XX -- [ Pg.2 , Pg.104 ]

See also in sourсe #XX -- [ Pg.2 , Pg.104 ]




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Chain rule, for differentiation

Leibnitz, rule for differentiating an integral

Product rule, for differentiation

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