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  2. Density functional theory - Wikipedia

    en.wikipedia.org/wiki/Density_functional_theory

    This theorem has since been extended to the time-dependent domain to develop time-dependent density functional theory (TDDFT), which can be used to describe excited states. The second HK theorem defines an energy functional for the system and proves that the ground-state electron density minimizes this energy functional.

  3. Henstock–Kurzweil integral - Wikipedia

    en.wikipedia.org/wiki/Henstock–Kurzweil_integral

    Henstock–Kurzweil integrals are linear: given integrable functions and and real numbers and , the expression + is integrable (Bartle 2001, 3.1); for example, (() + ()) = + (). If f is Riemann or Lebesgue integrable, then it is also Henstock–Kurzweil integrable, and calculating that integral gives the same result by all three formulations.

  4. Time-dependent density functional theory - Wikipedia

    en.wikipedia.org/wiki/Time-dependent_density...

    The formal foundation of TDDFT is the Runge–Gross (RG) theorem (1984) [1] – the time-dependent analogue of the Hohenberg–Kohn (HK) theorem (1964). [2] The RG theorem shows that, for a given initial wavefunction, there is a unique mapping between the time-dependent external potential of a system and its time-dependent density.

  5. List of theorems - Wikipedia

    en.wikipedia.org/wiki/List_of_theorems

    Noether's theorem (Lie groups, calculus of variations, differential invariants, physics) Noether's second theorem (calculus of variations, physics) Noether's theorem on rationality for surfaces (algebraic surfaces) Non-squeezing theorem (symplectic geometry) Norton's theorem (electrical networks) Novikov's compact leaf theorem

  6. Hardy–Littlewood maximal function - Wikipedia

    en.wikipedia.org/wiki/Hardy–Littlewood_maximal...

    This theorem of G. H. Hardy and J. E. Littlewood states that M is bounded as a sublinear operator from L p (R d) to itself for p > 1. That is, if f ∈ L p (R d) then the maximal function Mf is weak L 1-bounded and Mf ∈ L p (R d). Before stating the theorem more precisely, for simplicity, let {f > t} denote the set {x | f(x) > t}. Now we have:

  7. Hertz–Knudsen equation - Wikipedia

    en.wikipedia.org/wiki/Hertz–Knudsen_equation

    The Hertz–Knudsen equation describes the non-dissociative adsorption of a gas molecule on a surface by expressing the variation of the number of molecules impacting on the surfaces per unit of time as a function of the pressure of the gas and other parameters which characterise both the gas phase molecule and the surface: [1] [2]

  8. Slowly varying function - Wikipedia

    en.wikipedia.org/wiki/Slowly_varying_function

    A function L is slowly varying if and only if there exists B > 0 such that for all x ≥ B the function can be written in the form = ⁡ (() + ())where η(x) is a bounded measurable function of a real variable converging to a finite number as x goes to infinity

  9. Nilpotent group - Wikipedia

    en.wikipedia.org/wiki/Nilpotent_group

    Lagrange's Theorem implies the intersection of H and K is equal to 1. By definition,P 1 P 2 ···P t = HK, hence HK is isomorphic to H×K which is equal to P 1 ×P 2 ×···×P t. This completes the induction. Now take t = s to obtain (d). (d)→(e) Note that a p-group of order p k has a normal subgroup of order p m for all 1≤m≤k.