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Convergence proof techniques information


Convergence proof techniques are canonical components of mathematical proofs that sequences or functions converge to a finite limit when the argument tends to infinity.

There are many types of series and modes of convergence requiring different techniques. Below are some of the more common examples. This article is intended as an introduction aimed to help practitioners explore appropriate techniques. The links below give details of necessary conditions and generalizations to more abstract settings. The convergence of series is already covered in the article on convergence tests.

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Convergence proof techniques

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Convergence proof techniques are canonical components of mathematical proofs that sequences or functions converge to a finite limit when the argument...

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Convergence of Fourier series

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for convergence to occur. Determination of convergence requires the comprehension of pointwise convergence, uniform convergence, absolute convergence, Lp...

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Uniform convergence

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mathematical field of analysis, uniform convergence is a mode of convergence of functions stronger than pointwise convergence. A sequence of functions ( f n )...

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Radius of convergence

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center of the disk of convergence, cn is the n-th complex coefficient, and z is a complex variable. The radius of convergence r is a nonnegative real...

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Law of large numbers

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constant, which implies that convergence in distribution to μ and convergence in probability to μ are equivalent (see Convergence of random variables.) Therefore...

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Consilience

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consilience (also convergence of evidence or concordance of evidence) is the principle that evidence from independent, unrelated sources can "converge" on strong...

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Alternating series

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techniques. One of the oldest techniques is that of Euler summation, and there are many modern techniques that can offer even more rapid convergence....

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Random optimization

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showed the basic form of RO converges to the optimum of a simple unimodal function by using a limit-proof which shows convergence to the optimum is certain...

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Weak topology

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convergence. The early pioneers of functional analysis did not elevate norm convergence above weak convergence and oftentimes viewed weak convergence...

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Electrical equipment in hazardous areas

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atmosphere, despite any sparks or explosion within. Several techniques of flame-proofing exist, and they are often used in combination: The equipment...

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Ricci flow

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they were able to derive a new Ricci flow convergence theorem (Brendle & Schoen 2009). Their convergence theorem included as a special case the resolution...

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Square root of 2

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{1}{8}}+{\frac {1}{16}}-{\frac {5}{128}}+{\frac {7}{256}}+\cdots .} The convergence of this series can be accelerated with an Euler transform, producing...

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Evolutionary algorithm

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general proof of convergence under the condition that an optimum exists. Without loss of generality, a maximum search is assumed for the proof: From the...

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Divergent series

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approach zero diverges. However, convergence is a stronger condition: not all series whose terms approach zero converge. A counterexample is the harmonic...

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Prime number theorem

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proof of the prime number theorem (PNT). The proof is "non-elementary" by virtue of relying on complex analysis, but uses only elementary techniques from...

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Formal methods

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Automated techniques fall into three general categories: Automated theorem proving, in which a system attempts to produce a formal proof from scratch...

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Perceptron

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openlearninglibrary.mit.edu. Retrieved 2023-10-27. Novikoff, Albert J. (1963). "On convergence proofs for perceptrons". Office of Naval Research. Bishop, Christopher M...

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Gradient discretisation method

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properties are required to prove the convergence of a GDM. These core properties enable complete proofs of convergence of the GDM for elliptic and parabolic...

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Alexandra Bellow

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topology of pointwise convergence); (II) H is convex; (III) H satisfies the "separation property". Then H is metrizable. The proof of the existence of a...

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Particle swarm optimization

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the word convergence typically refers to two different definitions: Convergence of the sequence of solutions (aka, stability analysis, converging) in which...

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