Complex Variables and Partial Differential Equations

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COMPLEX VARIABLES AND 3130005
FREE PDF 3130005
Code: 3130005 Credits: 5 Semester 3 Mining

Complex Variables and Partial Differential Equations

Get the full GTU study material, English & Gujarati textbook PDFs, syllabus curriculum, and solved previous year question papers.

Complex Variables and Partial Differential Equations Syllabus — Unit-wise Content

The official GTU curriculum for Complex Variables and Partial Differential Equations (subject code 3130005) as prescribed for Mining · Semester 3 divides the course into 5 units, covering 28 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.

Download the official syllabus PDF (3130005)

Unit 1 Polar Form of Complex Numbers, Powers and Roots,

12 lecture hours

  • Complex Variable – Differentiation : Differentiation
  • Cauchy-Riemann equations
  • analytic functions
  • harmonic functions
  • finding harmonic conjugate
  • elementary analytic functions (exponential
  • logarithm) and their properties
  • Conformal mappings
  • Mobius transformations and their properties

Unit 2 Complex Variable - Integration

8 lecture hours

  • Contour integrals
  • Cauchy-Goursat theorem (without proof)
  • Cauchy Integral formula (without proof)
  • Liouville’s theorem and Maximum-Modulus theorem (without proof)
  • Convergence Tests
  • Power Series
  • Functions Given by Power Series
  • Taylor and Maclaurin Series
  • Uniform Convergence

Unit 3 Laurent’s series; Zeros of analytic functions, singularities, Residues, Cauchy Residue theorem

  • (without proof)
  • Residue Integration Method
  • Residue Integration of Real Integrals. 06 14%

Unit 4 First order partial differential equations, solutions of first order linear and nonlinear PDEs,

  • Charpit’s Method 06 14%

Unit 5 Solution to homogeneous and nonhomogeneous linear partial differential equations second and

10 lecture hours

  • higher order by complementary function and particular integral method
  • Separation of variables method to simple problems in Cartesian coordinates
  • second-order linear equations and their classification
  • Initial and boundary conditions
  • Modeling and solution of the Heat
  • Wave and Laplace equations

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