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  2. Total derivative - Wikipedia

    en.wikipedia.org/wiki/Total_derivative

    In many situations, this is the same as considering all partial derivatives simultaneously. The term "total derivative" is primarily used when f is a function of several variables, because when f is a function of a single variable, the total derivative is the same as the ordinary derivative of the function. [1]: 198–203

  3. Category:Mathematical analysis - Wikipedia

    en.wikipedia.org/wiki/Category:Mathematical_analysis

    Shqip; සිංහල ... This category has the following 19 subcategories, out of 19 total. ... Total derivative; Total variation; Treatise on Analysis; U ...

  4. 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.}

  5. Derivative - Wikipedia

    en.wikipedia.org/wiki/Derivative

    The derivative of ′ is the second derivative, denoted as ⁠ ″ ⁠, and the derivative of ″ is the third derivative, denoted as ⁠ ‴ ⁠. By continuing this process, if it exists, the ⁠ n {\displaystyle n} ⁠ th derivative is the derivative of the ⁠ ( n − 1 ) {\displaystyle (n-1)} ⁠ th derivative or the derivative of order ...

  6. Exact differential equation - Wikipedia

    en.wikipedia.org/wiki/Exact_differential_equation

    Given a simply connected and open subset D of and two functions I and J which are continuous on D, an implicit first-order ordinary differential equation of the form (,) + (,) =,is called an exact differential equation if there exists a continuously differentiable function F, called the potential function, [1] [2] so that

  7. Fundamental increment lemma - Wikipedia

    en.wikipedia.org/wiki/Fundamental_increment_lemma

    In this case, M is the unique derivative (or total derivative, to distinguish from the directional and partial derivatives) of f at a. Notably, M is given by the Jacobian matrix of f evaluated at a. We can write the above equation in terms of the partial derivatives as

  8. Vector calculus identities - Wikipedia

    en.wikipedia.org/wiki/Vector_calculus_identities

    Another method of deriving vector and tensor derivative identities is to replace all occurrences of a vector in an algebraic identity by the del operator, provided that no variable occurs both inside and outside the scope of an operator or both inside the scope of one operator in a term and outside the scope of another operator in the same term ...

  9. Faraday paradox - Wikipedia

    en.wikipedia.org/wiki/Faraday_paradox

    Faraday's law (also known as the Faraday–Lenz law) states that the electromotive force (EMF) is given by the total derivative of the magnetic flux with respect to time t: =, where is the EMF and Φ B is the magnetic flux through a loop of wire.