A branch point of a multivalued analytic function is a point around which analytic continuation along a closed loop can return a different value. A branch cut is a curve or union of curves removed from the domain so that loops causing this monodromy are excluded and one single-valued branch can be chosen.
For , define its Bernstein polynomial
If , then
Let . By uniform continuity, for any choose such that whenever . Splitting the expectation according to that event and using Chebyshev's inequality gives, uniformly in ,
For sufficiently large this is below . Thus uniformly on . An affine change of variable treats every compact interval, proving the Weierstrass approximation theorem.
The no-cloning theorem for two pure states states that no single unitary operator can clone two distinct nonorthogonal states. Suppose, to the contrary, that
Preservation of the inner product by gives
Writing , this requires or . The first case is orthogonality; the second means that the normalized states represent the same ray. Both contradict the assumptions. Therefore distinct nonorthogonal quantum states cannot be cloned by a unitary process.
For , the Controlled-NOT gate gives
A cloned product would instead be
Equality up to a physically irrelevant global phase requires . Thus
For a genuine superposition it creates quantum entanglement instead of two independent copies.
Start from the product of two Gamma function integrals:
Use the sum-and-ratio substitution for gamma integrals
whose Jacobian is . Absolute convergence for justifies the change of variables and separates the integral:
Therefore
In the integral defining the Beta function, put and then . Symmetry gives
This proves the identity for . Both sides extend by analytic continuation to the same meromorphic function, equivalently by the beta-gamma identity and the Gamma duplication formula. The identity holds meromorphically for every ; both sides are finite for and have matching poles at the excluded points.
The deterministic equation has solution and is identical in form to the equation for the stochastic expected value. It therefore identifies only the net rate
The variance equation also contains the total event rate . Once and are inferred,
The deterministic trajectory cannot distinguish frequent births and deaths that nearly cancel from infrequent events with the same net growth, whereas fluctuations can.
Multiply the birth-death master equation by and sum. Index shifts give
For the second moment, a birth changes by and a death changes it by , so
Since ,
Together these are the moment equations of a linear birth-death process.
With , the birth-death master equation for birth rate and death rate is
Take a context-free grammar for with start symbol , rename nonterminals if necessary, and add a fresh start symbol with
Every derivation concatenates finitely many words of , and every finite concatenation can be derived. The resulting grammar generates , proving closure of context-free languages under Kleene star.

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