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[Merged by Bors] - feat: a sufficient condition for stochastic processes to be independent #30878
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PR summary dc82ad56b5Import changes for modified filesNo significant changes to the import graph Import changes for all files
Declarations diff
You can run this locally as follows## summary with just the declaration names:
./scripts/declarations_diff.sh <optional_commit>
## more verbose report:
./scripts/declarations_diff.sh long <optional_commit>The doc-module for No changes to technical debt.You can run this locally as
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RemyDegenne
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I would replace processes by process in every lemma name and in the file name, since we most often use singular for names (and it's shorter). Apart from that name change, it looks good to me!
bors d+
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✌️ EtienneC30 can now approve this pull request. To approve and merge a pull request, simply reply with |
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Thanks! |
…nt (#30878) We prove that two stochastic processes $(X\_s)\_{s \in S}$ and $(Y\_t)\_{t \in T}$ are independent if for all $s_1, ..., s_p \in S$ and $t_1, ..., t_q \in T$ the two families $(X_{s_1}, ..., X_{s_p})$ and $(Y_{t_1}, ..., Y_{t_q})$ are independent. We prove an analogous condition for a family of stochastic processes.
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Pull request successfully merged into master. Build succeeded: |
…nt (leanprover-community#30878) We prove that two stochastic processes $(X\_s)\_{s \in S}$ and $(Y\_t)\_{t \in T}$ are independent if for all $s_1, ..., s_p \in S$ and $t_1, ..., t_q \in T$ the two families $(X_{s_1}, ..., X_{s_p})$ and $(Y_{t_1}, ..., Y_{t_q})$ are independent. We prove an analogous condition for a family of stochastic processes.
…nt (leanprover-community#30878) We prove that two stochastic processes $(X\_s)\_{s \in S}$ and $(Y\_t)\_{t \in T}$ are independent if for all $s_1, ..., s_p \in S$ and $t_1, ..., t_q \in T$ the two families $(X_{s_1}, ..., X_{s_p})$ and $(Y_{t_1}, ..., Y_{t_q})$ are independent. We prove an analogous condition for a family of stochastic processes.
We prove that two stochastic processes$(X_s)_{s \in S}$ and $(Y_t)_{t \in T}$ are independent if for all $s_1, ..., s_p \in S$ and $t_1, ..., t_q \in T$ the two families $(X_{s_1}, ..., X_{s_p})$ and $(Y_{t_1}, ..., Y_{t_q})$ are independent. We prove an analogous condition for a family of stochastic processes.