Source-pinned research

Research proof index

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Project-declaredLean 4.33.0-rc1

Measure bi Union alt Set le

ProbabilityTheory.measure_biUnion_altSet_le

Plain-language statement

The union of the alternation events over all finite subsets of a countable set of times below t has measure at most K / ((b - a) * m).

probabilitystochastic processesmeasure theory

Source project: Brownian motion

Person-level attribution pending.

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Project-declaredLean 4.33.0-rc1

Measure infinite Alt

ProbabilityTheory.measure_infiniteAlt

Plain-language statement

Almost surely, there is no infinite family of alternations of X from below a to above b at times in a countable set T below t.

probabilitystochastic processesmeasure theory

Source project: Brownian motion

Person-level attribution pending.

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Project-declaredLean 4.33.0-rc1

Measure Real alt Set le

ProbabilityTheory.measureReal_altSet_le

Plain-language statement

Quantitative alternation bound: the probability of m alternations along any finite F ⊆ Iic t is at most K / m with K independent of F and m.

probabilitystochastic processesmeasure theory

Source project: Brownian motion

Person-level attribution pending.

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Project-declaredLean 4.33.0-rc1

Measure Real exists abs lt le

ProbabilityTheory.measureReal_exists_abs_lt_le

Plain-language statement

Maximal inequality: the probability that |X| exceeds lam somewhere on a finite set F ⊆ Iic t is at most K / lam, with K independent of F.

probabilitystochastic processesmeasure theory

Source project: Brownian motion

Person-level attribution pending.

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Project-declaredLean 4.33.0-rc1

Mul integral upcrossings Before fin Idx le

ProbabilityTheory.mul_integral_upcrossingsBefore_finIdx_le

Plain-language statement

Expectation bound on the number of upcrossings along a finite set of times F ⊆ Iic t, from the boundedness of elementary stochastic integrals at time t.

probabilitystochastic processesmeasure theory

Source project: Brownian motion

Person-level attribution pending.

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Project-declaredLean 4.33.0-rc1

Mul measure Real exists lt le

ProbabilityTheory.mul_measureReal_exists_lt_le

Plain-language statement

One-sided maximal inequality along a finite skeleton for an adapted, integrable process g whose adapted {0,1}-weighted increment sums along idx have expectation at most K.

probabilitystochastic processesmeasure theory

Source project: Brownian motion

Person-level attribution pending.

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