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Exact differential

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In multivariate calculus, a differential or differential form is said to be exact or perfect (so called exact differential), as contrasted with an inexact differential, if it is equal to the general differential dQ for some differentiable function Q.

An exact differential is sometimes also called a 'total differential', or a 'full differential', or, in the study of differential geometry, it is termed an exact form.

Overview

Definition

Even if we work in three dimensions here, the definitions of exact differentials for other dimensions are similar to the three dimensional definition. In three dimensions, a form of the type

is called a differential form. This form is called exact on a domain in space if there exists some differentiable scalar function defined on such that

 

throughout . In other words, in some domain of three dimensional space, a differential form is an exact differential if it is equal to the general differential of a differentiable function. This is equivalent to saying that the vector field is a conservative vector field, with corresponding potential .

Note: The subscripts outside the parenthesis indicate which variables are being held constant during differentiation. Due to the definition of the partial derivative, these subscripts are not required, but they are included as a reminder.

One dimension

In one dimension, a differential form

is exact if and only if has an antiderivative (but not necessarily one in terms of elementary functions). If has an antiderivative, let be an antiderivative of and this satisfies the condition for exactness. If does not have an antiderivative, we cannot write and so the differential form is inexact.

Two and three dimensions

By symmetry of second derivatives, for any "well-behaved" (non-pathological) function , we have

Hence, in a simply-connected region R of the xy-plane, a differential

is an exact differential if (not "if and only if") the equation

holds since this equation is satisfied if and only if and , or .

For three dimensions, in a simply-connected region R of the xyz-coordinate system, by a similar reason, a differential

is an exact differential if between the functions A, B and C there exist the relations

; ; 

These conditions are equivalent to the following sentence: If G is the graph of this vector valued function then for all tangent vectors X,Y of the surface G then s(XY) = 0 with s the symplectic form.

These conditions, which are easy to generalize, arise from the independence of the order of differentiations in the calculation of the second derivatives. So, in order for a differential dQ, that is a function of four variables, to be an exact differential, there are six conditions (the combination ) to satisfy.

In summary, when a differential dQ is exact (In other words, it is such as .):

  • The differentiable function Q exists so
  • that is independent of the path followed between the two integration end points i and f.

In thermodynamics, when dQ is exact, the function Q is a state function (a mathematical function depending only on the current equilibrium state, not depending on the system path taken to reach the equilibrium state) of the system. The thermodynamic functions U (internal energy), S (entropy), H (enthalpy), A (Helmholtz free energy), and G (Gibbs free energy) are state functions. Generally, neither work nor heat is a state function.

Partial differential relations

If three variables, , and are bound by the condition for some differentiable function , then the following total differentials exist[1]: 667&669 

Substituting the first equation into the second and rearranging, we obtain[1]: 669 

Since and are independent variables, and may be chosen without restriction. For this last equation to hold in general, the bracketed terms must be equal to zero.[1]: 669 

Reciprocity relation

Setting the first term in brackets equal to zero yields[1]

A slight rearrangement gives a reciprocity relation,[1]: 670 

There are two more permutations of the foregoing derivation that give a total of three reciprocity relations between , and . Reciprocity relations show that the inverse of a partial derivative is equal to its reciprocal.

Cyclic relation

The cyclic relation is also known as the cyclic rule or the Triple product rule. Setting the second term in brackets equal to zero yields[1]: 670 

Using a reciprocity relation for on this equation and reordering gives a cyclic relation (the triple product rule),[1]: 670 

If, instead, a reciprocity relation for is used with subsequent rearrangement, a standard form for implicit differentiation is obtained:

Some useful equations derived from exact differentials in two dimensions

(See also Bridgman's thermodynamic equations for the use of exact differentials in the theory of thermodynamic equations)

Suppose we have five state functions , and . Suppose that the state space is two dimensional and any of the five quantities are exact differentials. Then by the chain rule

but also by the chain rule:

and

so that:

which implies that:

Letting gives:

Letting gives:

Letting , gives:

using ( gives the triple product rule:

See also

References

  1. ^ a b c d e f g Çengel, Yunus A.; Boles, Michael A. (1998) [1989]. "Thermodynamics Property Relations". Thermodynamics - An Engineering Approach. McGraw-Hill Series in Mechanical Engineering (3rd ed.). Boston, MA.: McGraw-Hill. ISBN 0-07-011927-9.