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Suvadip
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How to prove that\(\displaystyle |H_n(x)|<=|H_n(ix)| \)where \(\displaystyle H_n(x)\) is the Hermite polynomial?
The Modulus of Hermite polynomial is a mathematical concept used in the field of statistics and probability, specifically in the study of random variables. It is a measure of the spread or variability of a Hermite polynomial, which is a type of mathematical function used to model the probability distribution of a random variable.
The Modulus of Hermite polynomial is calculated by taking the square root of the second moment of the Hermite polynomial. This can be expressed mathematically as √(∫ (x-μ)^2 f(x) dx), where μ is the mean of the random variable and f(x) is the probability density function.
The Modulus of Hermite polynomial is an important measure in statistics because it allows us to compare the variability of different Hermite polynomials. It is particularly useful in determining the shape of a probability distribution and making inferences about the likelihood of certain outcomes.
The Modulus of Hermite polynomial is related to other measures of variability such as the variance and standard deviation. In fact, the Modulus of Hermite polynomial is essentially the square root of the variance, making it a more interpretable measure of spread and variability in the data.
No, the Modulus of Hermite polynomial cannot be negative. It is always a positive value, as it represents the square root of the second moment of the Hermite polynomial which cannot be negative. Additionally, the Modulus of Hermite polynomial is always equal to or greater than zero, with a value of zero indicating no variability in the data.