Introduction to Functional Analysis

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Course facts
  • Payment: Free, no certificate
  • Credits: Non Credit
  • Learning style: Self-paced, start anytime
  • Resources: Editable Files; Exams; Lecture Notes; Lecture Videos; Problem Sets
MIT OpenCourseWare details
  • As taught in: Spring 2021
  • Department: Mathematics
Created byMIT
Available onMIT OpenCourseWareMIT OpenCourseWare

Course Details
Learning Style

Start Anytime

Level

All Levels

Study Mode

100% Online

Outcomes
Academic Credits

Non Credit

Price & Terms
Pricing Model

Free Content (No Certificate)

Technical
Content Medium

Video Based

Specification
Access

Free Access

Academic Level

Undergraduate

SKU: introduction-functional-analysis Category: Brand:

Video course on Banach spaces, Lebesgue integration, Hilbert spaces and the Spectral Theorem, with lecture notes, ten assignments and take-home exams.

At a glance
LevelAll Levels
AccessFree access
FormatVideo Based
As taught inSpring 2021
DepartmentMathematics
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When a problem lives on an infinite-dimensional space, ordinary linear algebra runs out. Functional analysis extends it, as in describing a confined quantum particle’s state as a superposition of elementary wave functions. This class builds the theory through video lectures, starting with normed spaces and integration, then reaching the Spectral Theorem.

What You Will Achieve

  • Prove core results on Banach spaces such as the Hahn-Banach Theorem
  • Construct Lebesgue measure and the Lebesgue integral
  • Use orthonormal bases and Fourier series in Hilbert spaces
  • Apply the Spectral Theorem for compact self-adjoint operators


Program Overview

Banach Spaces

The opening lectures set out normed spaces and their big theorems.

  • Bounded linear operators
  • The Baire Category Theorem
  • The Open Mapping and Closed Graph Theorems
  • Zorn’s Lemma and the Hahn-Banach Theorem

Lebesgue Integration

A new integral is needed for complete function spaces.

  • Sigma algebras
  • Lebesgue measurable functions
  • The Dominated Convergence Theorem
  • L p space theory

Hilbert Spaces and Operators

The final part brings the two threads together.

  • Orthonormal bases and Fourier series
  • The Riesz Representation Theorem
  • Compact operators
  • The Spectral Theorem

Course Completion


Job Outlook

This is core preparation for graduate mathematics, and it supports work in partial differential equations and mathematical physics.


Before you start: 18.06 Linear Algebra, 18.700 Linear Algebra, or 18.701 Algebra I; and 18.100A Introduction to Analysis, 18.100B Analysis I, 18.100P Real Analysis, or 18.100Q Real Analysis; or permission of the instructor.

Our take

Good for: Mathematics students who have finished real analysis and linear algebra and enjoy proofs.

Keep in mind: From spring 2021, with no assigned textbook; you follow Prof. Melrose’s notes and a student’s notes. Assignments and exams are included, but the materials list no solutions, so you must check your own proofs.

Bottom line: A clean, complete video course on a core subject, and a natural next step after real analysis.

Frequently Asked Questions

Is there a textbook?

No. The class follows notes Richard Melrose wrote when he taught it in 2020, along with notes taken by a student in the 2021 class.

How were exams given?

As take-home work: a 24-hour midterm in week seven and a 48-hour final assignment at the end, both of which are published.

Where does functional analysis show up in practice?

The description uses a nonrelativistic quantum particle as its example: its state can be written as a superposition of wave functions with increasing energies.

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