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  2. Conjugate variables - Wikipedia

    en.wikipedia.org/wiki/Conjugate_variables

    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.

  3. Complex conjugate root theorem - Wikipedia

    en.wikipedia.org/wiki/Complex_conjugate_root_theorem

    The non-real factors come in pairs which when multiplied give quadratic polynomials with real coefficients. Since every polynomial with complex coefficients can be factored into 1st-degree factors (that is one way of stating the fundamental theorem of algebra ), it follows that every polynomial with real coefficients can be factored into ...

  4. Conjugate variables (thermodynamics) - Wikipedia

    en.wikipedia.org/wiki/Conjugate_variables...

    For example, consider the 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 due to work.

  5. Complex conjugate - Wikipedia

    en.wikipedia.org/wiki/Complex_conjugate

    Geometric representation (Argand diagram) of and its conjugate ¯ in the complex plane.The complex conjugate is found by reflecting 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.

  6. Complex conjugate representation - Wikipedia

    en.wikipedia.org/wiki/Complex_conjugate...

    Π (g) is the conjugate of Π(g) for all g in G. Π is also a representation, as one may check explicitly. If g is a real Lie algebra and π is a representation of it over the vector space V, then the conjugate representation π is defined over the conjugate vector space V as follows: π (X) is the conjugate of π(X) for all X in g. [1]

  7. Convex conjugate - Wikipedia

    en.wikipedia.org/wiki/Convex_conjugate

    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 ).

  8. Harmonic conjugate - Wikipedia

    en.wikipedia.org/wiki/Harmonic_conjugate

    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, =.

  9. Descartes' rule of signs - Wikipedia

    en.wikipedia.org/wiki/Descartes'_rule_of_signs

    has no sign change, the original polynomial has no negative real roots. So the minimum number of nonreal roots is (+) = Since nonreal roots of a polynomial with real coefficients must occur in conjugate pairs, it means that x 3 − 1 has exactly two nonreal roots and one real root, which is positive.