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  2. 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 ...

  3. Gradient theorem - Wikipedia

    en.wikipedia.org/wiki/Gradient_theorem

    The gradient theorem states that if the vector field F is the gradient of some scalar-valued function (i.e., if F is conservative), then F is a path-independent vector field (i.e., the integral of F over some piecewise-differentiable curve is dependent only on end points). This theorem has a powerful converse:

  4. Gradient - Wikipedia

    en.wikipedia.org/wiki/Gradient

    Much as the derivative of a function of a single variable represents the slope of the tangent to the graph of the function, [7] the directional derivative of a function in several variables represents the slope of the tangent hyperplane in the direction of the vector. The gradient is related to the differential by the formula = for any , where ...

  5. Laplace's equation - Wikipedia

    en.wikipedia.org/wiki/Laplace's_equation

    In mathematics and physics, Laplace's equation is a second-order partial differential equation named after Pierre-Simon Laplace, who first studied its properties.This is often written as = or =, where = = is the Laplace operator, [note 1] is the divergence operator (also symbolized "div"), is the gradient operator (also symbolized "grad"), and (,,) is a twice-differentiable real-valued function.

  6. Matrix calculus - Wikipedia

    en.wikipedia.org/wiki/Matrix_calculus

    By example, in physics, the electric field is the negative vector gradient of the electric potential. The directional derivative of a scalar function f(x) of the space vector x in the direction of the unit vector u (represented in this case as a column vector) is defined using the gradient as follows.

  7. Helmholtz decomposition - Wikipedia

    en.wikipedia.org/wiki/Helmholtz_decomposition

    The Helmholtz decomposition in three dimensions was first described in 1849 [9] by George Gabriel Stokes for a theory of diffraction. Hermann von Helmholtz published his paper on some hydrodynamic basic equations in 1858, [10] [11] which was part of his research on the Helmholtz's theorems describing the motion of fluid in the vicinity of vortex lines. [11]

  8. Potential gradient - Wikipedia

    en.wikipedia.org/wiki/Potential_gradient

    In physics, chemistry and biology, a potential gradient is the local rate of change of the potential with respect to displacement, i.e. spatial derivative, or gradient. This quantity frequently occurs in equations of physical processes because it leads to some form of flux .

  9. Calculus of variations - Wikipedia

    en.wikipedia.org/wiki/Calculus_of_Variations

    In physics problems it may be the case that =, meaning the integrand is a function of () and ′ but does not appear separately. In that case, the Euler–Lagrange equation can be simplified to the Beltrami identity [ 16 ] L − f ′ ∂ L ∂ f ′ = C , {\displaystyle L-f'{\frac {\partial L}{\partial f'}}=C\,,} where C {\displaystyle C} is a ...