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Differential operators

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gradient
thumb|300px|The gradient, represented by the blue arrows, denotes the direction of greatest change of a scalar function. The values of the function are represented in greyscale and increase in value from white (low) to dark (high).
divergence
500px|thumb|upright=1.75|alt= A vector field with diverging vectors, a vector field with converging vectors, and a vector field with parallel vectors that neither diverge nor converge|The divergence of different vector fields. The divergence of vectors from point (x,y) equals the sum of the partial derivative-with-respect-to-x of the x-component and the partial derivative-with-respect-to-y of the y-component at that point: \nabla\!\cdot(\mathbf{V}(x,y)) = \frac{\partial\, {V_x(x,y){\partial{x+\frac{\partial\, {V_y(x,y){\partial{y
partial derivative
derivative of a function of several variables with respect to one variable, with the others held constant
curl
differential operator describing the rotation at a point in a 3D vector field
Laplace operator
divergence of the gradient
nabla operator
right|100px|thumb|Del operator,represented bythe nabla symbol Del, or nabla, is an operator used in mathematics (particularly in vector calculus) as a vector differential operator, usually represented by ∇ (the nabla symbol). When applied to a function defined on a one-dimensional domain, it denotes the standard derivative of the function as defined in calculus. When applied to a field (a function defined on a multi-dimensional domain), it may denote any one of three operations depending on the way it is applied: the gradient or (locally) steepest slope of a scalar field (or sometimes of a vec
Jacobian matrix
the matrix of all first-order partial derivatives of a vector-valued function
Hessian matrix
matrix of second derivatives
homogeneous function
function with multiplicative scaling behaviour
d'Alembert operator
second-order differential operator that is the Laplace operator of Minkowski space
differential operator
typically linear operator defined in terms of differentiation of functions
Atiyah–Singer index theorem
theorem that the difference between the dimensions of the kernel and cokernel of a differential operator on a manifold is the integral of a characteristic class
symbol used in mathematics, physics and engineering to indicate a differential operator in a Cartesian vector space
total derivative
derivative of a function of several variables with respect to one variable, without the others held constant
Lie derivative
derivative of a tensor field along the flow defined by a vector field
exterior derivative
in differential geometry, a differential operation defined in differential forms that increases the form degree by 1
elliptic operator
Type of differential operator
Laplace–Beltrami operator
differential operator
functional derivative
concept in calculus of variation
Hodge star operator
linear map from p-forms on an n-dimensional manifold to (n−p)-forms
pseudo-differential operator
operator on functions, defined by the composition of Fourier transformation, multiplication with a certain smooth function of both position and momentum, and inverse Fourier transformation
Weyl algebra
differential algebra
Dirac operator
first-order differential linear operator on spinor bundle, whose square is the Laplacian
hypoelliptic operator
Partial differential operator
Wirtinger derivative
linear partial differential operators (first order constant coefficients) on f(ℂⁿ or ℝ²ⁿ)
Lie algebroid
infinitesimal version of a Lie groupoid: manifold M with vector bundle E, vector bundle map ρ: E→TM, and a Lie bracket on sections of E, so that [s,ft] = (ρ(s)f)t+f[s,t] for any function f: M→ℝ and sections s, t of E
Laplace operators in differential geometry
elliptic differential operators in geometry mathematics