Theorems in geometry | Theorems in real analysis | Probability theorems

Anderson's theorem

In mathematics, Anderson's theorem is a result in real analysis and geometry which says that the integral of an integrable, symmetric, unimodal, non-negative function f over an n-dimensional convex body K does not decrease if K is translated inwards towards the origin. This is a natural statement, since the graph of f can be thought of as a hill with a single peak over the origin; however, for n ≥ 2, the proof is not entirely obvious, as there may be points x of the body K where the value f(x) is larger than at the corresponding translate of x. Anderson's theorem also has an interesting application to probability theory. (Wikipedia).

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From playlist Algebra

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From playlist Differential Equations

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From playlist Mathematics

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From playlist Calculus - The Fundamental Theorem of Calculus

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From playlist Mathematics

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From playlist Calculus - The Fundamental Theorem of Calculus

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From playlist Calculus - The Fundamental Theorem of Calculus

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From playlist Algebraic Calculus One

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From playlist Integrable Probability Working Group

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From playlist Mathematics

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From playlist Stable Homotopy Seminar

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From playlist TOPICS IN HIGH DIMENSIONAL PROBABILITY

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From playlist Calculus - The Fundamental Theorem of Calculus

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From playlist Mathematical Physics

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From playlist Mathematics

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From playlist Indian Statistical Physics Community Meeting 2018

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From playlist Research Lectures

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From playlist Physics ONE

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From playlist Analysis and Beyond

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Integral | Random variable | Probability density function | Real analysis | Dimension | Mathematics | Level set | Negative number | Probability theory | Graph of a function | Symmetry | Geometry | Convex body | Euclidean space | Probability space | Convex set