Partial Differentiation and Its Applications - Multivariable Calculus (Undergraduate Advanced)
25
22 hrs
[OAU, Ife] MTH 201: Mathematical Methods IComprehensive treatise of advanced calculus covering limits, continuity and differentiability, infinite sequences and series, partial differentiation, numerical methods and ordinary differential equations.
Curated for second-year students of engineering and physical sciences at Obafemi Awolowo University, Ile-Ife, Nigeria. Students and professionals with similar learning goal will also find this learning track useful.
Comprehensive treatise of advanced calculus covering limits, continuity and differentiability, infinite sequences and series, partial differentiation, numerical methods and ordinary differential equations. Curated for second-year students of engineering and physical sciences at Obafemi Awolowo University, Ile-Ife, Nigeria. Students and professionals with similar learning goal will also find this learning track useful.
[EKSU, Ado-Ekiti] ENG 282: Engineering Mathematics IIComprehensive treatise of advanced mathematics, covering complex numbers, partial differentiation, laplace transforms, and fourier series.
Curated for second-year students of engineering and physical sciences at Ekiti State University, Ado-Ekiti, Nigeria.
Other students and professionals with similar learning goals will also find this useful.
Comprehensive treatise of advanced mathematics, covering complex numbers, partial differentiation, laplace transforms, and fourier series. Curated for second-year students of engineering and physical sciences at Ekiti State University, Ado-Ekiti, Nigeria. Other students and professionals with similar learning goals will also find this useful.
Course Chapters
1. Introduction4
Meaning of real-valued functions of several variables - domain, range, graphs, level curves, surfaces and computer-aided visualizations.
Chapter lessons
1-2. Multivariable functions15:35
2. Limits35
Formal and informal definitions, evaluation of limits of functions of several variables.
Chapter lessons
3. Continuity12
4. Partial Derivatives34
Formal definition of differentiability for functions of several variables; notations and evaluation of first and higher-order partial derivatives.
Chapter lessons
5. Composite Functions13
Partial derivatives of composite functions of several variables - chain rule of differentiation.
Chapter lessons
5-1. Chain rule27:31
Chain rule of differentiation for partial derivatives.
6. Implicit Differentiation44
Differentiation of implicitly-defined functions of several variables and an introduction to the Jacobian determinant.
Chapter lessons
6-1. Two variables28:29
Implicit differentiation of a function with one dependent variable and one independent variable using partial derivatives.
6-2. Jacobian Determinants6:38
Definition and evaluation of Jacobian determinants.
6-3. Three variables24:46
Implicit differentiation of a function with two dependent variables and one independent variable using partial derivatives.
6-4. Several variables11:13
General implicit differentiation of a function with several dependent and independent variables using Jacobian determinants.
7. Theorems on Jacobians33
Some theorems on Jacobian determinants - the implicit function theorem and its implications.
Chapter lessons
7-1. Existence of solutions19:50
Examining the existence of solutions of a linear system of equations and its relation to the Jacobian determinant.
7-2. The implicit function theorem11:50
The implicit function for a system of implicit functions.
7-3. Other theorems11:53
Other theorems on the Jacobian determinant.
8. Homogeneous Functions22
Meaning of homogeneous functions; Euler's theorem for homogeneous functions.
Chapter lessons
8-1. Definition10:01
Meaning of homogeneous functions - identifying the order of homogeneous functions.
8-2. Euler's theorem7:47
Euler's theorem for homogeneous functions.
9. Taylor's Theorem12
Taylor's theorem for functions of two variables.
Chapter lessons
9-1. Theorem22:44
Taylor's theorem for a function of two variables.
10. Extreme Values22
Getting the stationary points of a function of several variables by application of partial derivatives.
Chapter lessons
10-1. Maxima and minima28:34
How to find the stationary points of a function of two variables.
10-2. Procedure7:26
How to determine the stationary points of a two-variable function - and the nature of the stationary points.
11. Lagrange Multipliers12
Getting the stationary points of a function of several variables subject to some condition by application of partial derivatives and the method of Lagrange multipliers.
Chapter lessons
11-1. Method6:57
The method of Lagrange multiplier for examining stationary points of a function of two variables subject to a constraint.
12. Gradients and Directional Derivatives22
Applications of partial derivatives - gradient of a differentiable function and its relation to the directional derivative.
Chapter lessons
12-1. The gradient vector8:03
Definition of the gradient vector for a function of several variables.
12-2. Directional derivative22:15
Definition of the directional derivative of a function of several variables, its maximum value and what direction it occurs.
13. Applications to Geometry73
Equations of lines, planes, curves and surfaces in three-dimensional Cartesian coordinates - vector, standard and parametric equations.
Chapter lessons
13-1. Equation of a straight line39:41
Vector (three-dimensional) equations of a straight line, and why y=mx+c no longer cuts it.
13-2. Equation of a plane20:43
Equation of a plane - vector and standard forms.
13-3. Equation of a curve15:10
Derivation and visualization of the parametric equations of curves in three dimensions and how they are related to those of straight lines; direction of the derivative of the parametric equation of a curve.
13-4. Equation of a surface17:19
Equation of a surface, in contrast to a plane; the direction of the gradient vector of a surface at a given point.
13-5. Intersection of surfaces26:52
Lines formed by intersection of surfaces and their tangent vector.
13-6. Tangent line and normal plane to a curve29:42
Equations of the tangent line and normal plane to a curve.
13-7. Tangent plane and normal line to a surface11:46
Equations of the tangent plane and normal line to a surface.