Physics is a science that is essentially based on measurement and modeling. The physicist’s background must therefore contain the tools and methods that allow him to:
- derive rational information from his measurements.
- approach the behavior of a model system using mathematical analysis.
Notations
Tab. 1 Mathematical notations
Symbol | Signification |
def = |
equal by definition |
≃ | approximately equal to |
∼ | equal in order of magnitude |
A≫B | A very large in front of B |
A≪B | A very small in front of B |
AB⌢ | arc length |
[G] | dimension of the quantity G |
statistical mean of a random quantity or time mean of a signal | |
σs | standard deviation associated with a random quantity |
srms | effective value of a signal |
(ν) = TF[s(t)] | Fourier transform of the signal s(t) |
(νx,νy) = TF2D[s(x,y)] | two-dimensional Fourier transform of the signal s(x,y) |
δ(t) | Dirac impulse |
z | complex magnitude |
z* | conjugate complex |
Re(z) | real part of z |
Im(z) | imaginary part of z |
∣z∣ | modulus of z |
arg(z) | argument of z |
(x, y, z) | Cartesian base |
(r, θ, z) | cylindrical base |
(r, φ, z) | spherical base |
∥∥ or A | norm of vector |
scalar product of two vectors | |
∧ | vector product of two vectors |
Az | component along the axis (Oz) = Az = ⋅ z |
= dy/dt | first derivative with respect to time |
= d2y/dt2 | second derivative with respect to time |
∂f(x,y,z,t)/∂x or f′x | partial derivative of f with respect to the variable x |
Df(x,y,z,t)/Dt | particular derivative of f with respect to the variable t |
∮C(M,t)⋅d | circulation of a vector field along the closed-circuit C |
∬S(M,t)⋅dS | Flow of a vector field |
f or f | gradient of a scalar field f |
div or ⋅ | divergence of a vector field |
or ∧ | rotational of a vector field |
Δf = ⋅f = ∇2f | Laplacian of a scalar field f |
Δ | Laplacian of a vector field |
Source: FEMTO, Les cours de physique. License CC BY-NC 4.0. Translated and adapted by Nicolae Sfetcu
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