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  2. List of physical quantities - Wikipedia

    en.wikipedia.org/wiki/List_of_physical_quantities

    vector Pressure gradient: Pressure per unit distance pascal/m L −2 M 1 T −2: vector Temperature gradient: steepest rate of temperature change at a particular location K/m L −1 Θ: vector Torque: τ: Product of a force and the perpendicular distance of the force from the point about which it is exerted

  3. Vector calculus - Wikipedia

    en.wikipedia.org/wiki/Vector_calculus

    A scalar field associates a scalar value to every point in a space. The scalar is a mathematical number representing a physical quantity.Examples of scalar fields in applications include the temperature distribution throughout space, the pressure distribution in a fluid, and spin-zero quantum fields (known as scalar bosons), such as the Higgs field.

  4. Field (physics) - Wikipedia

    en.wikipedia.org/wiki/Field_(physics)

    A field can be classified as a scalar field, a vector field, a spinor field or a tensor field according to whether the represented physical quantity is a scalar, a vector, a spinor, or a tensor, respectively. A field has a consistent tensorial character wherever it is defined: i.e. a field cannot be a scalar field somewhere and a vector field ...

  5. Advection - Wikipedia

    en.wikipedia.org/wiki/Advection

    The advection equation is a first-order hyperbolic partial differential equation that governs the motion of a conserved scalar field as it is advected by a known velocity vector field. [1] It is derived using the scalar field's conservation law, together with Gauss's theorem, and taking the infinitesimal limit.

  6. Material derivative - Wikipedia

    en.wikipedia.org/wiki/Material_derivative

    For example, for a macroscopic scalar field φ(x, t) and a macroscopic vector field A(x, t) the definition becomes: +, +. In the scalar case ∇ φ is simply the gradient of a scalar, while ∇ A is the covariant derivative of the macroscopic vector (which can also be thought of as the Jacobian matrix of A as a function of x ).

  7. Vector field - Wikipedia

    en.wikipedia.org/wiki/Vector_field

    Given vector fields V, W defined on S and a smooth function f defined on S, the operations of scalar multiplication and vector addition, ():= () (+) ():= + (), make the smooth vector fields into a module over the ring of smooth functions, where multiplication of functions is defined pointwise.

  8. Flow velocity - Wikipedia

    en.wikipedia.org/wiki/Flow_velocity

    In many engineering applications the local flow velocity vector field is not known in every point and the only accessible velocity is the bulk velocity or average flow velocity ¯ (with the usual dimension of length per time), defined as the quotient between the volume flow rate ˙ (with dimension of cubed length per time) and the cross sectional area (with dimension of square length):

  9. Vorticity - Wikipedia

    en.wikipedia.org/wiki/Vorticity

    By its own definition, the vorticity vector is a solenoidal field since = In a two-dimensional flow , ω {\displaystyle {\boldsymbol {\omega }}} is always perpendicular to the plane of the flow, and can therefore be considered a scalar field .