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  2. Slutsky equation - Wikipedia

    en.wikipedia.org/wiki/Slutsky_equation

    There are two parts of the Slutsky equation, namely the substitution effect and income effect. In general, the substitution effect is negative. Slutsky derived this formula to explore a consumer's response as the price of a commodity changes. When the price increases, the budget set moves inward, which also causes the quantity demanded to decrease.

  3. Slutsky's theorem - Wikipedia

    en.wikipedia.org/wiki/Slutsky's_theorem

    In probability theory, Slutsky's theorem extends some properties of algebraic operations on convergent sequences of real numbers to sequences of random variables. [1]

  4. Eugen Slutsky - Wikipedia

    en.wikipedia.org/wiki/Eugen_Slutsky

    Evgeny "Eugen" Evgenievich Slutsky (Russian: Евге́ний Евге́ньевич Слу́цкий; 7 April [O.S. 19 April] 1880 – 10 March 1948) was a Russian and Soviet [1] mathematical statistician, economist and political economist. He is primarily known for the Slutsky equation and the Slutsky–Yule effect.

  5. Talk:Slutsky's theorem - Wikipedia

    en.wikipedia.org/wiki/Talk:Slutsky's_theorem

    The result in the article is not known as Slutsky's Theorem (that is a different result), but rather Slutsky's Lemma. The two results are cited often enough that the distinction should be made. — Preceding unsigned comment added by 98.223.197.174 16:34, 2 January 2013 (UTC) The claim is wrong for general X_n, Y_n.

  6. Roy's identity - Wikipedia

    en.wikipedia.org/wiki/Roy's_identity

    Roy's identity reformulates Shephard's lemma in order to get a Marshallian demand function for an individual and a good from some indirect utility function.. The first step is to consider the trivial identity obtained by substituting the expenditure function for wealth or income in the indirect utility function (,), at a utility of :

  7. Continuous mapping theorem - Wikipedia

    en.wikipedia.org/wiki/Continuous_mapping_theorem

    In probability theory, the continuous mapping theorem states that continuous functions preserve limits even if their arguments are sequences of random variables. A continuous function, in Heine's definition, is such a function that maps convergent sequences into convergent sequences: if x n → x then g(x n) → g(x).

  8. Böttcher's equation - Wikipedia

    en.wikipedia.org/wiki/Böttcher's_equation

    Solution of functional equation is a function in implicit form.. Lucian Emil Böttcher sketched a proof in 1904 on the existence of solution: an analytic function F in a neighborhood of the fixed point a, such that: [1]

  9. Lindbladian - Wikipedia

    en.wikipedia.org/wiki/Lindbladian

    In quantum mechanics, the Gorini–Kossakowski–Sudarshan–Lindblad equation (GKSL equation, named after Vittorio Gorini, Andrzej Kossakowski, George Sudarshan and Göran Lindblad), master equation in Lindblad form, quantum Liouvillian, or Lindbladian is one of the general forms of Markovian master equations describing open quantum systems.