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  2. Total derivative - Wikipedia

    en.wikipedia.org/wiki/Total_derivative

    In mathematics, the total derivative of a function f at a point is the best linear approximation near this point of the function with respect to its arguments. Unlike partial derivatives, the total derivative approximates the function with respect to all of its arguments, not just a single one. In many situations, this is the same as ...

  3. Differential of a function - Wikipedia

    en.wikipedia.org/wiki/Differential_of_a_function

    A number of properties of the differential follow in a straightforward manner from the corresponding properties of the derivative, partial derivative, and total derivative. These include: [ 11 ] Linearity : For constants a and b and differentiable functions f and g , d ( a f + b g ) = a d f + b d g . {\displaystyle d(af+bg)=a\,df+b\,dg.}

  4. Differential (mathematics) - Wikipedia

    en.wikipedia.org/wiki/Differential_(mathematics)

    In calculus, the differential represents a change in the linearization of a function.. The total differential is its generalization for functions of multiple variables.; In traditional approaches to calculus, differentials (e.g. dx, dy, dt, etc.) are interpreted as infinitesimals.

  5. Exact differential equation - Wikipedia

    en.wikipedia.org/wiki/Exact_differential_equation

    In mathematics, an exact differential equation or total differential equation is a certain kind of ordinary differential equation which is widely used in physics and engineering. Definition [ edit ]

  6. Derivative - Wikipedia

    en.wikipedia.org/wiki/Derivative

    Total derivative, total differential and Jacobian matrix Main article: Total derivative When f {\displaystyle f} is a function from an open subset of R n {\displaystyle \mathbb {R} ^{n}} to ⁠ R m {\displaystyle \mathbb {R} ^{m}} ⁠ , then the directional derivative of f {\displaystyle f} in a chosen direction is the best linear approximation ...

  7. Notation for differentiation - Wikipedia

    en.wikipedia.org/wiki/Notation_for_differentiation

    The original notation employed by Gottfried Leibniz is used throughout mathematics. It is particularly common when the equation y = f(x) is regarded as a functional relationship between dependent and independent variables y and x. Leibniz's notation makes this relationship explicit by writing the derivative as: [1].

  8. Pushforward (differential) - Wikipedia

    en.wikipedia.org/wiki/Pushforward_(differential)

    Suppose that : is a smooth map between smooth manifolds; then the differential of at a point , denoted , is, in some sense, the best linear approximation of near . It can be viewed as a generalization of the total derivative of ordinary calculus.

  9. Exact differential - Wikipedia

    en.wikipedia.org/wiki/Exact_differential

    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. The integral of an exact differential over any integral path is path-independent, and this fact is used to identify state functions in thermodynamics.