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What's a well written textbook on this topic? A textbook that has about the same exposition as Munkres Topology.
zhentil said:What on Earth are pendantics? That theorem is non-trivial and very useful, if you ask me.
I'd recommend Wheeden and Zygmund. The exposition is terse, but they build up from R^n using a geometric approach, which makes life much easier than the standard "outer measure is a set function satisfying the following" approach.
Welcome to real mathematics! Minute details matter!eastside00_99 said:pedantic: it is a adjective, and it means to be overly concerned with minute details.
I used the word as a noun which may or may not be "allowed."
I didn't say anything about it being trivial or a waste of paper!
las3rjock said:Welcome to real mathematics! Minute details matter!
Measure & Integration Theory is a mathematical framework used to study the properties of functions and sets, specifically with regards to measuring their size, shape, and structure. It provides a rigorous and systematic approach to defining and measuring concepts such as length, area, volume, and probability.
A measure is a function that assigns a numerical value to a set, while an integral is a mathematical operation that calculates the area under a curve. In Measure & Integration Theory, the measure is used to define the integral, which in turn is used to calculate the measure of a set.
Measure & Integration Theory is a fundamental tool in many areas of mathematics, including probability, analysis, and geometry. It provides a rigorous and flexible framework for studying a wide range of concepts, from basic geometric shapes to complex functions and probabilities.
Measure & Integration Theory has numerous applications in various fields, such as physics, economics, and engineering. It is used to study the properties of physical systems, calculate probabilities and expected values in economics, and analyze signals and data in engineering.
Some key concepts in Measure & Integration Theory include measures, measurable sets, integration, convergence, and sigma-algebras. These concepts are used to define and study fundamental properties of sets and functions, such as size, continuity, and convergence.