- #1
EnumaElish said:Using A for |A| and kk for k squared:
1 > Akk/n
1 < n/(Akk)
A < n/kk
A/n < 1/kk
1 - A/n > 1 - 1/kk
So the stated result actually holds with strict equality.
EnumaElish said:|A| is a real number, like 2.
If 2/n < 1/kk then 1 - 2/n > 1 - 1/kk. Not so?
The Tchebysheff proof is a mathematical proof technique that is used to prove inequalities. It is based on the Tchebysheff inequality, which states that the probability that a random variable will deviate from its mean by more than a certain amount is less than or equal to the variance of the random variable divided by that amount squared.
The Tchebysheff proof works by using the Tchebysheff inequality to bound the probability of a random variable deviating from its mean. This bound is then used to prove an inequality involving the random variable and its mean. The proof typically involves a series of algebraic manipulations and logical deductions.
The Tchebysheff proof is useful because it allows us to prove inequalities involving random variables without having to know the exact probability distribution of the random variable. This makes it a powerful tool in statistics and probability theory, as many real-world problems involve random variables with unknown distributions.
The last step in the Tchebysheff proof is typically to use the bound obtained from the Tchebysheff inequality to prove an inequality involving the random variable and its mean. This is often done by setting the bound equal to the desired inequality and then solving for the desired variable.
To better understand the transition to the last step in the Tchebysheff proof, it is important to have a solid understanding of the Tchebysheff inequality and how it is used to bound the probability of a random variable deviating from its mean. It is also helpful to have a strong background in algebra and logical reasoning, as these skills are often utilized in the last step of the proof.