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Everything about Differential Infinitesimal totally explained

In differential calculus, a differential is traditionally an infinitesimally small change in a variable. For example, if x is a variable, then a change in the value of x is often denoted Δx (or δx when this change is considered to be small). The differential dx represents such a change, but is infinitely small. Although this isn't a rigorous mathematical concept, it's extremely useful intuitively, and there are a number of ways to make the notion mathematically precise.
   The key property of the differential is that if y is a function of x, then the differential dy of y is related to dx by the formula » mathrm d y = frac^m. Furthermore, it has the decisive advantage over other definitions of the derivative that it's invariant under changes of coordinates. This means that the same idea can be used to define the differential of smooth maps between smooth manifolds.
   Aside: Note that the existence of all the partial derivatives of f(x) at x is a necessary condition for the existence of a differential at x. However it isn't a sufficient condition. For counterexamples, see Gateaux derivative.

The algebraic geometry approach

In algebraic geometry, differentials and other infinitesimal notions are handled in a very explicit way by accepting that the coordinate ring or sheaf of a space may contain nilpotent elements. The simplest example is the ring of dual numbers R[ε], where ε2 = 0.
   This can be motivated by the algebro-geometric point of view on the derivative of a function f from R to R at a point p. For this, note first that ff(p)1 (where 1 is the identity function) belongs to the ideal Ip of functions on R which vanish at p. If the derivative f vanishes at p, then ff(p)1 belongs to the square Ip2 of this ideal. Hence the derivative of f at p may be captured by the equivalence class [ff(p)1] in the quotient space Ip/Ip2, and the 1-jet of f (which encodes its value and its first derivative) is the equivalence class of f in the space of all functions modulo Ip2. Algebraic geometers regard this equivalence class as the restriction of f to a thickened version of the point p whose coordinate ring isn't R (which is the quotient space of functions on R modulo Ip) but R[ε] which is the quotient space of functions on R modulo Ip2. Such a thickened point is a simple example of a scheme.

Synthetic differential geometry

A third approach to infinitesimals is the method of synthetic differential geometry or smooth infinitesimal analysis. This is closely related to the algebraic geometric approach, except that the infinitesimals are more implicit and intuitive. The main idea of this approach is to replace the category of sets with another category of smoothly varying sets which is a topos. In this category, one can define the real numbers, smooth functions, and so on, but the real numbers automatically contain nilpotent infinitesimals, so these don't need to be introduced by hand as in the algebraic geometric approach. However the logic in this new category isn't identical to the familiar logic of the category of sets: in particular, the law of the excluded middle doesn't hold. This means that set-theoretic mathematical arguments only extend to smooth infinitesimal analysis if they're constructive (for example, don't use proof by contradiction). Some regard this disadvantage as a positive thing, since it forces one to find constructive arguments wherever they're available.

Non-standard analysis

The final approach to infinitesimals again involves extending the real numbers, but in a much less drastic way. In this approach there are no nilpotent infinitesimals, only invertible ones, which may be viewed as the reciprocals of infinitely large numbers. Such extensions of the real numbers may be constructed explicitly using equivalence classes of sequences of rational numbers, so that, for example, the sequence (1,1/2,1/3,...1/n,...) represents an infinitesimal. The first-order logic of this new set of hyperreal numbers is the same as the logic for the usual real numbers, but the completeness axiom (which involves second-order logic) doesn't hold. Nevertheless, this suffices to develop an elementary and quite intuitive approach to calculus using infinitesimals.

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