MHB Non-deterministic 2-tape Turing Machine

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A non-deterministic 2-tape Turing Machine can be designed to accept the language L, where L consists of strings formatted as x#y, with x being a subset of y. The first tape holds the input, while the second tape is initially blank and is used to store the symbols from x. After reaching the # symbol, the machine checks if the symbols on tape 2 are present in tape 1, which is crucial for verifying the subset condition. The non-determinism can be utilized by allowing the machine to make guesses about the positions of symbols in y that correspond to those in x. This approach enables the machine to operate in linear time while efficiently checking the containment relationship.
mathmari
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Hey! :o

I want to find a non-deterministic $2$-tape Turing Machine, that accepts the language $L$ over $\Sigma=\{0,1,\#\}$ in linear time, $$L=\{x\#y \mid x,y \in \{0,1\}^\star, x \text{ is contained in } y\}$$ Does the Turing Machine look as follows?
The tape $1$ contains the input $w$ and the tape $2$ contains blanks.
The machine reads the symbols in tape $1$ before the symbol $\#$, it writes all these symbols in tape $2$.
Then after having reached the symbol $\#$ in tape $1$, the machine checks if the symbols of tape $2$ are in tape $1$.

(Wondering)
 
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But how could we use the non-determinism of the Turing Machine? (Wondering)
 
Greetings, I am studying probability theory [non-measure theory] from a textbook. I stumbled to the topic stating that Cauchy Distribution has no moments. It was not proved, and I tried working it via direct calculation of the improper integral of E[X^n] for the case n=1. Anyhow, I wanted to generalize this without success. I stumbled upon this thread here: https://www.physicsforums.com/threads/how-to-prove-the-cauchy-distribution-has-no-moments.992416/ I really enjoyed the proof...

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