Course Details:

  1. Differentiable mappings from open subsets of R^n to R^m with derivative as a linear map providing first order approximation.  Partial and directional derivatives of real-valued functions; Gradient with its geometric interpretation as normals to level surfaces. (8 Lectures)
  2. Chain Rule for the composition of differentiable mappings. Inverse and Implicit function theorems. (8 Lectures).
  3. Mean value theorem. Higher order derivatives and Taylor’s theorem. Critical points and tests for local extrema at such points using the Hessian. Saddle points. Lagrange multiplier method for optimization problems on smooth submanifolds of R^n. (14 Lectures).
  4. Multiple integration: Integration of real-valued functions of several variables and change of variables formula (without proof). Vector fields  Divergence and curl. Classical theorems of Green and Stokes in dimensions 2 and 3. (12 Lectures).

Learning Outcomes: Upon successful completion of the course, students will be able to:

  1. appreciate the need for rigour by working with a wide range of concrete functions of several variables with different behaviour,
  2. deal with & solve a wide range of problems requiring applications of calculus & analysis of functions of several real variables, which require higher levels of sophistication than they have seen before,
  3. gain mathematical maturity by going through unified treatments of diverse examples with some key basic features in common
  4. take up courses in differential geometry and/or differential equations and/or optimization.

 

Text books:

  1. Wendell Fleming, Functions of Several Variables, Springer (2012), ISBN: 1468494619, 9781468494617 
  2. Patrick Fitzpatrick, Advanced Calculus, American Mathematical Soc., 2009, American Mathematical Soc.(2009), ISBN: 0821847910,9780821847916
  3. Tom M. Apostol, Calculus: Multi-Variable Calculus and Linear Algebra with Applications to Differential Equations and Probability, Wiley; Second edition (2007) ISBN: 978-8126515202


 

References :  

 

  1. Theodore Shifrin, Multivariable Mathematics: Linear Algebra, Multivariable Calculus, and Manifolds Wiley (2004), ISBN: 047152638X, 9780471526384
  2. Pietro-Luciano Buono, Advanced Calculus: Differential Calculus and Stokes' Theorem, Walter de Gruyter (2016), ISBN: 3110438224, 9783110438222
  3. Jerry Shurman, Calculus and Analysis in Euclidean Space, Springer (2016), ISBN: 3319493140, 9783319493145
  4. J. J. Duistermaat, J. A. C. Kolk, Multidimensional Real Analysis I: Differentiation, Cambridge University Press (2004), ISBN: 1139451197, 9781139451192
  5. J. J. Duistermaat, J. A. C. Kolk, Multidimensional Real Analysis II: Integration, Cambridge University Press (2004), ISBN: 1139451871, 9781139451871
  6. Peter D. Lax, M. S. Terrell, Multivariable Calculus with Applications, Springer (2018), ISBN: 3319740733, 9783319740737
  7. Guillemin Victor, Haine Peter, Differential Forms, World Scientific (2019), ISBN: 9813272791, 9789813272798
  8. John H. Hubbard and Barbara Burke Hubbard, Vector Calculus, Linear Algebra, and Differential Forms: A Unified Approach, Matrix Editions (5th Edition),  ISBN: 9780971576681
  9. Michael Spivak, Calculus On Manifolds: A Modern Approach To Classical Theorems Of Advanced Calculus, Hachette UK (1971), ISBN: 0813346126, 9780813346120
  10. Sudhir R. Ghorpade, Balmohan V. Limaye, A Course in Multivariable Calculus and Analysis, Springer ISBN: 1441916210, 9781441916211.
  11. Serge Lang, Calculus of Several Variables, Springer (2012), ISBN: 1461210682, 9781461210689