Lecture

Nth Derivative

Graph Chat

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Description

This lecture focuses on studying the n-th derivative of a function defined by a power series with a positive convergence radius or infinite radius, showing how to obtain the n-th derivatives through a recursive process. It also demonstrates that functions defined by power series are infinitely differentiable, leading to the conclusion that they are very regular functions. Additionally, it introduces the concept of C omega functions, which are even more regular than C infinite functions, and discusses evaluating the n-th derivative at a specific point using Taylor's formula. The lecture concludes by exploring functions represented by power series and their relationship with known functions.

In MOOCs (2)

Analysis I (part 6) : Study of functions, limited developments

The study of functions is the discussion of some of their properties. To do this, we need certain theorems that allow us, for example, to find the variations of the function under study. We've already seen the theorem of finite increments. In this chapter, we study its generalization. When we study a function, we also want to know how it behaves at infinity. Unfortunately, the limits of some functions can be quite complicated to study, so we introduce the Bernoulli-l'Hospital rule and demonstrate it. This r

Analysis I

This course covers : Part 1: Prelude, basic concepts, real numbers. Part 2: Introduction to complex numbers. Part 3: Real number sequences I and II. Part 4: Limit of a function, continuous functions. Part 5: Continuous functions and derivable functions, the derivative function. Part 6: Studies of functions, limited developments. Part 7: Indefinite and definite integrals, integration (selected chapters).

Official source

Quiz

Ontological neighbourhood

Mathematics

Analysis: Calculus

Related concepts (26)

Radius of convergence

In mathematics, the radius of convergence of a power series is the radius of the largest disk at the center of the series in which the series converges. It is either a non-negative real number or . When it is positive, the power series converges absolutely and uniformly on compact sets inside the open disk of radius equal to the radius of convergence, and it is the Taylor series of the analytic function to which it converges.

Differentiable function

In mathematics, a differentiable function of one real variable is a function whose derivative exists at each point in its domain. In other words, the graph of a differentiable function has a non-vertical tangent line at each interior point in its domain. A differentiable function is smooth (the function is locally well approximated as a linear function at each interior point) and does not contain any break, angle, or cusp. If x0 is an interior point in the domain of a function f, then f is said to be differentiable at x0 if the derivative exists.

Smoothness

In mathematical analysis, the smoothness of a function is a property measured by the number of continuous derivatives it has over some domain, called differentiability class. At the very minimum, a function could be considered smooth if it is differentiable everywhere (hence continuous). At the other end, it might also possess derivatives of all orders in its domain, in which case it is said to be infinitely differentiable and referred to as a C-infinity function (or function).

Derivative

In mathematics, the derivative shows the sensitivity of change of a function's output with respect to the input. Derivatives are a fundamental tool of calculus. For example, the derivative of the position of a moving object with respect to time is the object's velocity: this measures how quickly the position of the object changes when time advances. The derivative of a function of a single variable at a chosen input value, when it exists, is the slope of the tangent line to the graph of the function at that point.

Taylor series

In mathematics, the Taylor series or Taylor expansion of a function is an infinite sum of terms that are expressed in terms of the function's derivatives at a single point. For most common functions, the function and the sum of its Taylor series are equal near this point. Taylor series are named after Brook Taylor, who introduced them in 1715. A Taylor series is also called a Maclaurin series when 0 is the point where the derivatives are considered, after Colin Maclaurin, who made extensive use of this special case of Taylor series in the mid-18th century.

Related lectures (64)

Differentiable Functions: Derivatives and Approximations

Explores derivatives, Hessians, and Taylor approximations for differentiable functions.

Holomorphic Functions: Taylor Series Expansion

Covers the basic properties of holomorphic maps and Taylor series expansions in complex analysis.

Power series and Taylor series

Covers the properties of improper integrals, power series, and Taylor series.

Approximation of Functions by Taylor Polynomials

Explores the theory and application of Taylor polynomials for function approximation and limit calculations.

Advanced Analysis II: Differentiable Functions