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Peter Yu said:Proof of Cauchy-Schwarty Inequality from the Book "Quantum Mechanics Demystified" Page 133.
I do not understand one key step! Most appreciated someone could help.
Please see attached file.
Peter Yu said:Hi Steven,
Thank you. You are smart! I think you are right!
By the way, how do you input your equation in the above message? I cannot input the equation using the key board.
The Cauchy-Schwartz Inequality is a mathematical inequality that states the relationship between the inner product of two vectors and their norms. It states that for any two vectors, the absolute value of the inner product is less than or equal to the product of their norms. In other words, it provides a bound on the dot product of two vectors.
The Cauchy-Schwartz Inequality is named after mathematicians Augustin-Louis Cauchy and Hermann Amandus Schwarz, who independently proved the inequality in the 19th century. It is also sometimes referred to as the Cauchy-Bunyakovsky-Schwarz Inequality, as Bunyakovsky also contributed to its development.
The Cauchy-Schwartz Inequality is a fundamental result in mathematics and has many applications in various fields, including linear algebra, geometry, and probability. It is also a crucial tool in proving other mathematical theorems, such as the triangle inequality and the Heine-Borel theorem.
The dot product of two vectors can be thought of as the projection of one vector onto the other. The Cauchy-Schwartz Inequality states that the magnitude of this projection is always less than or equal to the product of the norms of the two vectors. In other words, it provides an upper bound on the dot product.
Yes, the Cauchy-Schwartz Inequality can be extended to an arbitrary number of vectors. This is known as the generalized Cauchy-Schwartz Inequality and is often used in multivariable calculus and linear algebra.