TEW - Linear Algebra, Partial Differential Equations and Fourier Analysis (2026)

Speakers and Syllabus


 

 

Speaker

 

Affiliation

 

Topic(s)

Number of lecture

hours

Number of tutorial hours

Dr. K. N. Raghavan

KREA University,
Andhra Pradesh

Linear Algebra

9

2(conduct) + 2(assist)

Dr. Thirupathi Gudi

IISc, Bangalore

Partial Differential
Equations

9

2(conduct) +2(assist)

Dr. G. P. Youvaraj

RIASM, Chennai

Fourier Analysis

9

2(conduct) + 2(assist)

Linear Algebra (LA):
Systems of Linear Inequalities: Standard Forms; Fourier-Motzkin Elimination
Existence of Solutions: Farkas’Lemma, Theorems of the Alternative; Convex Cones and Structure of Solutions.
Linear Programming: Existence of Optimal Solutions; Duality.

Partial Differential Equations (PDE):
Introduction to PDE, solving linear, semi-linear, quasilinear, and fully non-linear first-order equations by the method of characteristics. Conservation laws, Laplace equation (Fundamentalsolution,MeanValueProperties,MaximumprinciplesandAnalyticity). Heat equation (Fundamental Solution, infinite speed of Propagation and Maximum Principles).Wave equation (D'Alembert's solution, finite speed of propagation, method of reflection). Solutions of heat and wave equations using Transform techniques.

Fourier Analysis (FA):
Fourier series and convergence, pointwise and uniformconvergence, Gibbs phenomenon, Fourie integrals, Fourier transform and its basic properties, Plancherel and Parseval identities, Fourier series with respect to complete orthonormal sets in Hilbert spaces, Laplace transformation and its applications. 

 

References:

  1. Kazuo Murota, Masaaki Sugihara, Linear Algebra II, Advanced Topics for Applications, (World Scientific Low-Priced Edition).

  2. Gilbert Strang, Linear Algebra and Its Applications, Cengage.

  3. Hoffman and Kunze, Linear Algebra, Pearson.

  4. AnIntroductiontoPartialDifferentialEquations- Y.Pinchover,J. Ruben stein (Cambridge, 2005).

  5. Lawrence C.Evans, Partial Differential Equations, AMS.

  6. FritzJohn, Partial Differential Equations, Springer.

  7. G. B. Folland, Fourier Analysis and Its Applications, BrooksandCole.

  8. Elias M. Stein and Rami Shakarchi, Fourier Analysis: An Introduction, Princeton University Press.

  9. T. W. Körner, Fourier Analysis, Cambridge University Press.

  10. Rajendra Bhatia, Fourier Series,The Mathematical Association of America.

 

 

 

 


Time Table

 

 

Time

09.30
to
11.00

Lecture

 

11.15
to
12.45

Lecture

 

14.00
to
15.30

Lecture

 

15.45 to 16.45

Tutorial

 

Mon
June 08

KNR

 

TG

L

GPY

 

TG & KNR

S

Tue
June 09

GPY

T

KNR

U

TG

T

KNR & GPY

N

Wed
June 10

TG

E

GPY

N

KNR

E

GPY & TG

A

Thu
June 11

GPY

A

TG

C

KNR

A

TG & KNR

C

Fri
June 12

TG

 

KNR

H

GPY

 

KNR & GPY

K

Sat
June 13

KNR

 

GPY

 

TG

 

GPY & TG

S

 

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