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Lecture
Implicit Functions Theorem
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Related lectures (27)
Implicit Functions Theorem
Covers the Implicit Functions Theorem, explaining how equations can define functions implicitly.
Linear Independence: The Wronskian Concept
Explains the Wronskian and its role in determining linear independence of solutions to differential equations.
Harmonic Forms: Main Theorem
Explores harmonic forms on Riemann surfaces and the uniqueness of solutions to harmonic equations.
Differentiating under the integral sign
Explores differentiating under the integral sign and continuity of functions in integrals.
Integration by Substitution
Explores integration by substitution with proofs and examples on anti-derivatives and function equivalence.
Harmonic Functions: Properties and Mollification
Covers the properties of harmonic functions and the concept of mollification.
Linear Algebra: Injective Functions
Explores injective functions in linear algebra, demonstrating how to prove injectivity step by step.
Linear Independence: The Wronskian Concept
Explains the Wronskian and its role in determining linear independence of solutions to differential equations.
Darboux Theorem: Advanced Analysis I
Explores the Darboux theorem for continuous functions on closed intervals, emphasizing uniform continuity and function behavior implications.
Applications of Theorems
Demonstrates the practical application of theorems in calculus through two clever examples.
Weak Derivatives: Definition and Properties
Covers weak derivatives, their properties, and applications in functional analysis.
Theorems in Analysis
Covers the Meyers-Serrin theorem in analysis, discussing the conditions for functions in different spaces.
Differentiability of Functions of Several Variables
Covers the differentiability of functions of multiple variables and the significance of directional derivatives and gradients.
Bernoulli's Hospital Rule
Covers the statement of the Bernoulli's Hospital Rule and its application.
Distribution & Interpolation Spaces
Explores distribution and interpolation spaces, showcasing their importance in mathematical analysis and the computations involved.
Differentiating under the integral sign
Explores differentiating under the integral sign and conditions for differentiation, with examples and extensions to functions on open intervals.
Integral Techniques: Integration by Parts
Explores the integration by parts technique through examples, showcasing its step-by-step application to functions like cos(x) and sin(x.
Morse Theory: Critical Points and Non-Degeneracy
Covers Morse theory, focusing on critical points and non-degeneracy.
Fourier Series: Extension and Periodicity
Covers the extension and periodicity of Fourier series and the interpretation of coefficients.
Probability and Statistics
Covers mathematical concepts from number theory to probability and statistics.
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