स्नातकोत्तर प्रथम वर्षAnalysisपाठ उपलब्ध
Measure theory and integration
σ-algebras and measures, Lebesgue measure, measurable functions and the Lebesgue integral, the monotone and dominated convergence theorems, product measures and Fubini–Tonelli, and Lᵖ spaces.
math.analysis.measure-theory
इस पर आधारित
38 अनिवार्य पूर्वापेक्षाएँ (बिल्कुल नीचे तक)
आप सीखेंगे
- Construct Lebesgue measure from outer measure using Carathéodory's criterion.
- Prove and apply the monotone and dominated convergence theorems.
- Apply the Fubini–Tonelli theorem, and prove that Lᵖ spaces are complete.
परिभाषा
- A σ-algebra on X is a collection of subsets of X that contains X and is closed under complements and countable unions.
- A measure is a countably additive function μ from a σ-algebra to [0, ∞] with μ(∅) = 0.
- Lᵖ(μ) consists of measurable functions f with ∫ |f|ᵖ dμ < ∞, with functions equal almost everywhere identified.
प्रमेय
- Dominated convergence theorem.
- Fubini–Tonelli theorem for σ-finite measure spaces.
- Lᵖ(μ) is a Banach space for 1 ≤ p ≤ ∞ (Riesz–Fischer).
- Every Riemann-integrable function on [a, b] is Lebesgue integrable, with the same integral.
आम भ्रांतियाँ
- Thinking sets of measure zero must be small in every sense; the Cantor set is uncountable and null, and there are null sets that are dense G_δ sets (topologically large).
- Interchanging limits and integrals without a domination or monotonicity hypothesis.
आगे ले जाता है
वैकल्पिक खोजें
अधिगम पथ
आगे पढ़ने के लिए
- Gerald B. Folland, Real Analysis: Modern Techniques and Their Applications
- Elias M. Stein and Rami Shakarchi, Real Analysis: Measure Theory, Integration, and Hilbert Spaces (2005)