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Conjugate variables are pairs of variables mathematically defined in such a way that they become Fourier transform duals, [1] [2] or more generally are related through Pontryagin duality. The duality relations lead naturally to an uncertainty relation—in physics called the Heisenberg uncertainty principle —between them.
These forces and their associated displacements are called conjugate variables. [1] For example, consider the p V {\displaystyle pV} conjugate pair. The pressure p {\displaystyle p} acts as a generalized force: Pressure differences force a change in volume d V {\displaystyle \mathrm {d} V} , and their product is the energy lost by the system ...
A conjugate prior is an algebraic convenience, giving a closed-form expression for the posterior; otherwise, numerical integration may be necessary. Further, conjugate priors may give intuition by more transparently showing how a likelihood function updates a prior distribution.
Geometric representation (Argand diagram) of and its conjugate ¯ in the complex plane. The complex conjugate is found by reflecting z {\displaystyle z} across the real axis. In mathematics , the complex conjugate of a complex number is the number with an equal real part and an imaginary part equal in magnitude but opposite in sign .
In mathematics and mathematical optimization, the convex conjugate of a function is a generalization of the Legendre transformation which applies to non-convex functions. It is also known as Legendre–Fenchel transformation , Fenchel transformation , or Fenchel conjugate (after Adrien-Marie Legendre and Werner Fenchel ).
Conjugate gradient, assuming exact arithmetic, converges in at most n steps, where n is the size of the matrix of the system (here n = 2). In mathematics, the conjugate gradient method is an algorithm for the numerical solution of particular systems of linear equations, namely those whose matrix is positive-semidefinite.
Conjugate (square roots), the change of sign of a square root in an expression; Conjugate element (field theory), a generalization of the preceding conjugations to roots of a polynomial of any degree; Conjugate transpose, the complex conjugate of the transpose of a matrix; Harmonic conjugate in complex analysis
Equivalently, is conjugate to in if and only if and satisfy the Cauchy–Riemann equations in . As an immediate consequence of the latter equivalent definition, if is any harmonic function on , the function is conjugate to for then the Cauchy–Riemann equations are just = and the symmetry of the mixed second order derivatives, =.