A-Maths@Maths on Medium - 60d
A series of Medium articles offer accessible explanations of diverse mathematical concepts and their real-world applications. Topics covered include solving various types of equations, from basic algebraic problems to more advanced exponential equations relevant to data science. One article provides a step-by-step guide to understanding and solving equations, emphasizing the importance of this skill across numerous fields like finance and programming. Another article tackles the frequency illusion, also known as the Baader-Meinhof phenomenon, explaining the cognitive bias behind why we notice things more frequently after becoming newly aware of them.
Furthermore, the collection explores the significant relationship between mathematics and coding, illustrating how mathematical principles underpin fundamental concepts in computer science such as algorithms, data structures, and computational complexity. The articles also include practical applications, like using exponential equations in data science and demonstrating the use of linear regression in predictive analytics. A selection of math puzzles with answers is also provided, offering engaging challenges for readers to test and hone their problem-solving skills. References :
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@mathoverflow.net - 24d
Recent research has focused on the Boppana entropy inequality, a mathematical relationship that connects the entropy of a squared variable, denoted as H(x²), to the entropy of the variable itself, H(x). This inequality, expressed as H(x²) ≥ φxH(x), where φ is the golden ratio (approximately 1.618), has gained attention for its surprising tightness. Specifically, the maximum error between the two sides of the inequality is less than 2% for large values of x within the range [0,1] and even lower for small values of x.
The Boppana inequality’s significance also extends to coding theory, where it can be rephrased as a statement about the possibility of compressing data with different biases. Some experts have expressed hope for an intuitive information-theoretic or combinatorial proof of this inequality. Furthermore, explorations into the function G(x²)=bxG(x) have shown a connection between the Boppana inequality and the function Ĥ(x), which was found to have surprising symmetry around x = ½. References :
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