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Generalized number derivatives

An extension of the idea of a derivative to some classes of non-differentiable functions. The first definition is due to S. Sobolev see [1][2]who arrived at a definition of a generalized derivative from the point of view of his concept of a generalized function. There is the third equivalent definition of a generalized derivative.

Doctorate program: Functional Analysis - Lecture 19C - Generalized derivatives and Sobolev spaces

Subsequently, many investigators arrived at this concept independently of their predecessors on this question see [4]. Log in. Namespaces Page Discussion. Views View View source History. Jump to: navigationsearch. How to Cite This Entry: Generalized derivative. Encyclopedia of Mathematics. This article was adapted from an original article by S.

See original article. Category : TeX done. This page was last edited on 30 Novemberat Levi, "Sul principio di Dirichlet" Rend. Palermo22 pp. Nikol'skii, "Approximation of functions of several variables and imbedding theorems"Springer Translated from Russian Zbl Agmon, "Lectures on elliptic boundary value problems"v.

Nostrand MR Zbl In mathematicsthe derivative is a fundamental construction of differential calculus and admits many possible generalizations within the fields of mathematical analysiscombinatoricsalgebraand geometry. In real, complex, and functional analysis, derivatives are generalized to functions of several real or complex variables and functions between topological vector spaces. An important case is the variational derivative in the calculus of variations.

Repeated application of differentiation leads to derivatives of higher order and differential operators. The derivative is often met for the first time as an operation on a single real function of a single real variable. One of the simplest settings for generalizations is to vector valued functions of several variables most often the domain forms a vector space as well. This is the field of multivariable calculus.

A function is differentiable on an interval if it is differentiable at every point within the interval. Although this definition is perhaps not as explicit as the above, if such an operator exists, then it is unique, and in the one-dimensional case coincides with the original definition.

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In this case the derivative is represented by a 1-by-1 matrix consisting of the sole entry f' x. Each entry of this matrix represents a partial derivativespecifying the rate of change of one range coordinate with respect to a change in a domain coordinate.

generalized number derivatives

This is a higher-dimensional statement of the chain rule. For real valued functions from R n to R scalar fieldsthe total derivative can be interpreted as a vector field called the gradient. An intuitive interpretation of the gradient is that it points "up": in other words, it points in the direction of fastest increase of the function.

It can be used to calculate directional derivatives of scalar functions or normal directions. Several linear combinations of partial derivatives are especially useful in the context of differential equations defined by a vector valued function R n to R n.

The divergence gives a measure of how much "source" or "sink" near a point there is. It can be used to calculate flux by divergence theorem. The curl measures how much " rotation " a vector field has near a point.

For vector-valued functions from R to R n i. The resulting derivative is another vector valued function. This is useful, for example, if the vector-valued function is the position vector of a particle through time, then the derivative is the velocity vector of the particle through time.

The convective derivative takes into account changes due to time dependence and motion through space along vector field. The subderivative and subgradient are generalizations of the derivative to convex functions.

One can iterate the differentiation process, that is, apply derivatives more than once, obtaining derivatives of second and higher order.Stuck on a math problem? Need to find a derivative or integral? Our calculators will give you the answer and take you through the whole process, step-by-step!

All calculators support all common trigonometric, hyperbolic and logarithmic functions. The constants pi and e can be used in all calculations. The syntax is the same that modern graphical calculators use.

The Calculator can find derivatives using the sum rule, the elementary power rule, the generalized power rule, the reciprocal rule inverse function rulethe product rule, the chain rule and logarithmic derivatives. Of course trigonometric, hyperbolic and exponential functions are also supported.

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Find the anti-derivative of any function using integration by substitution, integration by parts, integration by logarithmic substitution and integration by splitting the expression into partial fractions.

Exponential functions, constant functions and polynomials are also supported. Additionally, the system will compute the intervals on which the function is monotonically increasing and decreasing, include a plot of the function and calculate its derivatives and antiderivatives. Although step-by-step solutions aren't supported at the time, you can still calculate the limit of any college-level function.

Find the Taylor expansion series of any function and see how it's done!

Generalized derivative

Up to ten Taylor-polynomials can be calculated at a time. All solutions will be simplified after calculation and alternate ways of representing the expression will be provided, if available.

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About Us Contact Us. Calculus Calculators! Derivatives The Calculator can find derivatives using the sum rule, the elementary power rule, the generalized power rule, the reciprocal rule inverse function rulethe product rule, the chain rule and logarithmic derivatives. Coming Soon! Limits Although step-by-step solutions aren't supported at the time, you can still calculate the limit of any college-level function.

generalized number derivatives

Series Find the Taylor expansion series of any function and see how it's done!BoxRiyadh, Saudi Arabia. In this article, we study generalized fractional derivatives that contain kernels depending on a function on the space of absolute continuous functions.

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We generalize the Laplace transform in order to be applicable for the generalized fractional integrals and derivatives and apply this transform to solve some ordinary differential equations in the frame of the fractional derivatives under discussion.

Abdeljawad, D. Baleanu and F. Jarad, Existence and uniqueness theorem for a class of delay differential equations with left and right Caputo fractional derivatives, J. Google Scholar.

BaleanuOn the existence and the uniqueness theorem for fractional differential equations with bounded delay within Caputo derivatives, Sci. China Ser. A: Math51 Abdeljawad and D. Baleanu, Integration by parts and its applications of a new nonlocal fractional derivative with Mittag-Leffler nonsingular kernel, J.

Nonlinear Sci.

generalized number derivatives

Baleanu, Monotonicity results for fractional difference operators with discrete exponential kernels, Adv. Difference Equ. AbdeljawadOn generalized fractional operators and a Gronwall type inequality with applications, Filomat31 AlmeidaA Caputo fractional derivative of a function with respect to another function, Commun. BaleanuNew fractional derivative with non-local and non-singular kernel, Thermal Sci.

FabrizioA new definition of fractional derivative without singular kernel, Progr. JaffariAnalysis of a system of nonautonomous fractional differential equations involving Caputo derivatives, J. RodinoExistence and uniqueness for a nonlinear fractional differential equation, J. Gambo, F. Jarad, T. Baleanu, On Caputo modification of the Hadamard fractional derivative, Adv. Baleanu, Caputo-type modification of the Hadamard fractional derivative, Adv.

BaleanuOn the generalized fractional derivatives and their Caputo modification, J. Jarad, E. Baleanu, On a new class of fractional operators, Adv. KatugampolaNew approach to generalized fractional integral, Appl. KatugampolaA new approach to generalized fractional derivatives, Bul. Kilbas, H. Srivastava and J. KilbasHadamard type fractional calculus, J. Korean Math. HartleyVariable order and distributed order fractional operators, Nonlinear Dynam.

Generalized coordinates

Oliveira and E. Samko, A. Kilbas and O.In analytical mechanicsthe term generalized coordinates refers to the parameters that describe the configuration of the system relative to some reference configuration.

These parameters must uniquely define the configuration of the system relative to the reference configuration.

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The generalized velocities are the time derivatives of the generalized coordinates of the system. An example of a generalized coordinate is the angle that locates a point moving on a circle. The adjective "generalized" distinguishes these parameters from the traditional use of the term coordinate to refer to Cartesian coordinates : for example, describing the location of the point on the circle using x and y coordinates.

Although there may be many choices for generalized coordinates for a physical system, parameters that are convenient are usually selected for the specification of the configuration of the system and which make the solution of its equations of motion easier.

If these parameters are independent of one another, the number of independent generalized coordinates is defined by the number of degrees of freedom of the system.

Generalized coordinates are paired with generalized momenta to provide canonical coordinates on phase space. Generalized coordinates are usually selected to provide the minimum number of independent coordinates that define the configuration of a system, which simplifies the formulation of Lagrange's equations of motion.

However, it can also occur that a useful set of generalized coordinates may be dependentwhich means that they are related by one or more constraint equations. For a system of N particles in 3D real coordinate spacethe position vector of each particle can be written as a 3- tuple in Cartesian coordinates :.

A holonomic constraint is a constraint equation of the form for particle k [4] [nb 1]. The constraint may change with time, so time t will appear explicitly in the constraint equations.

At any instant of time, any one coordinate will be determined from the other coordinates, e. One constraint equation counts as one constraint. If there are C constraints, each has an equation, so there will be C constraint equations.

There is not necessarily one constraint equation for each particle, and if there are no constraints on the system then there are no constraint equations. So far, the configuration of the system is defined by 3 N quantities, but C coordinates can be eliminated, one coordinate from each constraint equation. It is ideal to use the minimum number of coordinates needed to define the configuration of the entire system, while taking advantage of the constraints on the system.

These quantities are known as generalized coordinates in this context, denoted q j t. It is convenient to collect them into an n - tuple. They are all independent of one other, and each is a function of time. Geometrically they can be lengths along straight lines, or arc lengths along curves, or angles; not necessarily Cartesian coordinates or other standard orthogonal coordinates. There is one for each degree of freedomso the number of generalized coordinates equals the number of degrees of freedom, n.

A degree of freedom corresponds to one quantity that changes the configuration of the system, for example the angle of a pendulum, or the arc length traversed by a bead along a wire. If it is possible to find from the constraints as many independent variables as there are degrees of freedom, these can be used as generalized coordinates [5] The position vector r k of particle k is a function of all the n generalized coordinates and, through them, of time[6] [7] [8] [5] [nb 2].

The corresponding time derivatives of q are the generalized velocities. The velocity vector v k is the total derivative of r k with respect to time. A mechanical system can involve constraints on both the generalized coordinates and their derivatives.

Constraints of this type are known as non-holonomic. First-order non-holonomic constraints have the form. An example of such a constraint is a rolling wheel or knife-edge that constrains the direction of the velocity vector.

Non-holonomic constraints can also involve next-order derivatives such as generalized accelerations. The total kinetic energy of the system is the energy of the system's motion, defined as [9].

The kinetic energy is a function only of the velocities v knot the coordinates r k themselves. By contrast an important observation is [10]. In the case the constraints on the particles are time-independent, then all partial derivatives with respect to time are zero, and the kinetic energy is a homogeneous function of degree 2 in the generalized velocities. Still for the time-independent case, this expression is equivalent to taking the line element squared of the trajectory for particle k.

Thus for time-independent constraints it is sufficient to know the line element to quickly obtain the kinetic energy of particles and hence the Lagrangian.How can that be? Largely because there are numerous derivatives in existence, available on virtually every possible type of investment asset, including equities, commodities, bonds, and currency. Some market analysts even place the size of the market at more than 10 times that of the total world gross domestic product GDP.

However, other researchers challenge these estimates, arguing the size of the derivatives market is vastly overstated. Determining the actual size of the derivatives market depends on what a person considers part of the market, and therefore, what figures go into the calculation. The larger estimates come from adding up the notional value of all available derivatives contracts. But some analysts argue that such a calculation doesn't reflect reality—that the notional value of a derivative contract's underlying assetsthe financial instruments the derivative is pegged to, does not accurately represent the actual market value of derivative contracts based on those assets.

Derivatives themselves merely contracts between parties; they are speculations, bought, or sold as bets on the future price moves of whatever securities they're based on—hence the name 'derivative.

An example that illustrates the vast difference between notional value and actual market value can be found in popularly traded derivatives, interest rate swaps. The large principal amounts of the underlying interest rate instruments, although usually included in the calculation of total swaps value, never actually trade hands. The only money traded in an interest rate swap is the vastly smaller interest payment amounts—sums that are only a fraction of the principal amount.

The OTC derivatives market, on a notional value, is at its highest level since Interest rate derivatives make up for the majority of the OTC notional derivative value. Meanwhile, the gross value of derivatives has been falling in recent years but rebounded in When the actual market value of derivatives rather than notional value is the focus, the estimate of the size of the derivatives market changes dramatically.

However, by any calculation, the derivatives market is quite sizable and significant in the overall picture of worldwide investments. Trading Instruments. Your Money. Personal Finance. Your Practice. Popular Courses.

The higher end of the estimates includes the notional value of derivative contracts. Compare Accounts. The offers that appear in this table are from partnerships from which Investopedia receives compensation.

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Related Articles. Partner Links. Related Terms Derivative A derivative is a securitized contract between two or more parties whose value is dependent upon or derived from one or more underlying assets.

Its price is determined by fluctuations in that asset, which can be stocks, bonds, currencies, commodities, or market indexes. What Are Freight Derivatives? Freight derivatives are financial instruments whose value is derived from the future levels of freight rates. Plain Vanilla Swap A plain vanilla swap is the most basic type of forward claim that is traded in the over-the-counter market between two private parties. Interest Rate Derivative Definition An interest-rate derivative is a broad term for a derivative contract, such as a futures, option, or swap, that has an interest rate as its underlying asset.

Commodity Swap Definition A commodity swap is a contract where two sides of the deal agree to exchange cash flows, which are dependent on the price of an underlying commodity. The Ins and Outs of Financial Instruments A financial instrument is a real or virtual document representing a legal agreement involving any kind of monetary value.

Investopedia is part of the Dotdash publishing family.This session looks closely at discontinuous functions and introduces the notion of an impulse or delta function. The goal is to use these functions as the input to differential equations. Step functions and delta functions are not differentiable in the usual sense, but they do have what we will call generalized derivatives, which are suitable for use in DE's. Don't show me this again. This is one of over 2, courses on OCW.

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