Engineering Mathematics — Complete Study Material

Units 1–5  •  45 Contact Hours  •  Part A 10×2 = 20 marks  |  Part B 5×16 = 80 marks

Covers: Differential Equations · Vector Calculus · Laplace Transforms · Applications of Laplace Transforms · Fourier Transforms

CO1–CO6 mapped All standard results Worked examples Question bank

UNIT 1Differential Equations (9 Hrs)

CO1, CO6. Higher order linear ODEs with constant coefficients → particular integrals → variation of parameters → Euler/Legendre → simultaneous equations.

1.1 Operator form and the Complementary Function

The equation
$$a_0\frac{d^ny}{dx^n}+a_1\frac{d^{n-1}y}{dx^{n-1}}+\cdots+a_ny \;=\; X(x)$$ Writing \(D\equiv \dfrac{d}{dx}\), $$f(D)\,y=X(x),\qquad y=\underbrace{\text{C.F.}}_{\text{from }f(D)y=0}+\underbrace{\text{P.I.}}_{\text{from }f(D)y=X}$$
Complementary function — from roots of \(f(m)=0\)
Nature of roots of \(f(m)=0\)Complementary Function
Real & distinct: \(m_1,m_2,m_3\)\(c_1e^{m_1x}+c_2e^{m_2x}+c_3e^{m_3x}\)
Two equal roots \(m,m\)\((c_1+c_2x)e^{mx}\)
Three equal roots \(m,m,m\)\((c_1+c_2x+c_3x^2)e^{mx}\)
Complex pair \(\alpha\pm i\beta\)\(e^{\alpha x}\left(c_1\cos\beta x+c_2\sin\beta x\right)\)
Repeated complex pair \(\alpha\pm i\beta\) twice\(e^{\alpha x}\left[(c_1+c_2x)\cos\beta x+(c_3+c_4x)\sin\beta x\right]\)

1.2 Particular Integral — all six standard forms (the heart of the unit)

Rule 1 — \(X=e^{ax}\)
$$\text{P.I.}=\frac{1}{f(D)}e^{ax}=\frac{e^{ax}}{f(a)},\qquad f(a)\neq 0.$$ If \(f(a)=0\), then \(\dfrac{1}{f(D)}e^{ax}=\dfrac{x\,e^{ax}}{f'(a)}\), and if \(f'(a)=0\) too, \(\dfrac{x^2e^{ax}}{f''(a)}\), and so on.
Rule 2 — \(X=\sin ax\) or \(\cos ax\) (replace \(D^2\to -a^2\))
$$\frac{1}{f(D)}\sin ax=\frac{\sin ax}{f(-a^2)},\qquad \frac{1}{f(D)}\cos ax=\frac{\cos ax}{f(-a^2)},\quad f(-a^2)\neq 0.$$ Resonance case \(f(-a^2)=0\): write \(f(D^2)=(D^2+a^2)\,g(D^2)\). Then $$\frac{1}{f(D)}\sin ax=\frac{-x\cos ax}{2a\,g(-a^2)},\qquad \frac{1}{f(D)}\cos ax=\frac{x\sin ax}{2a\,g(-a^2)}.$$ In particular \(\dfrac{1}{D^2+a^2}\sin ax=-\dfrac{x\cos ax}{2a}\), \(\dfrac{1}{D^2+a^2}\cos ax=\dfrac{x\sin ax}{2a}\).
For \(g(D^2)=1\), \(g(-a^2)=f'(-a^2)\) where \(f'\) means \(d/du\) with \(u=D^2\).
Rule 3 — \(X=x^n\) (resolvent / expansion in ascending powers of \(D\))
Take out the constant term and expand as a geometric-type series; only powers \(D^k\) with \(k\le n\) survive. $$\frac{1}{f(D)}x^n=\frac{1}{f(0)}\Big[1+\phi(D)\Big]^{-1}x^n,\qquad f(D)=f(0)\big(1+\phi(D)\big).$$ Example skeleton: \(\dfrac{1}{D^2+3D+2}x^2=\dfrac12\Big[1+\dfrac{3D+D^2}{2}\Big]^{-1}x^2 =\dfrac12\Big[x^2-\dfrac{3D x^2+D^2x^2}{2}+\dfrac{9D^2x^2}{4}\Big]\). (See worked example 1.6(3).)
Rule 4 — \(X=x^n e^{ax}\) (exponential shift)
$$\frac{1}{f(D)}\Big[e^{ax}V(x)\Big]=e^{ax}\frac{1}{f(D+a)}V(x).$$ So first shift \(D\to D+a\), then use Rule 3 on \(x^n\).
Rule 5 — \(X=x\sin ax\) or \(x\cos ax\)
$$\frac{1}{f(D)}\big[x\,V(x)\big]=x\,\frac{1}{f(D)}V(x)\;-\;\frac{f'(D)}{[f(D)]^2}V(x),\qquad V=\sin ax \text{ or } \cos ax,$$ where \(f'(D)\) is \(df/dD\). Compute \(\frac{1}{f(D)}V\) first by Rule 2, then apply the second term.
Rule 6 — \(X=e^{ax}\sin bx\) or \(e^{ax}\cos bx\)
$$\frac{1}{f(D)}\Big[e^{ax}\sin bx\Big]=\operatorname{Im}\!\left[\frac{e^{(a+ib)x}}{f(a+ib)}\right],\qquad \frac{1}{f(D)}\Big[e^{ax}\cos bx\Big]=\operatorname{Re}\!\left[\frac{e^{(a+ib)x}}{f(a+ib)}\right].$$ Equivalent book version: put \(D=a+ib\), rationalise \(\dfrac{1}{f(a+ib)}=A+iB\), giving \(\text{P.I.}=e^{ax}(A\cos bx+B\sin bx)\).
Choose the right rule instantly
  • Only \(e^{ax}\) → Rule 1.
  • Only \(\sin/\cos\) → Rule 2 (watch resonance).
  • Only polynomial \(x^n\) → Rule 3.
  • \(e^{ax}\times\)(polynomial) → Rule 4.
  • x × (sin/cos) or x × \(e^{ax}\) → Rule 4 or Rule 5.
  • \(e^{ax}\sin bx\) → Rule 6.
  • Product of any three / \(x^2e^{ax}\sin bx\) combinations → shift first (Rule 4), then Rule 5/6.

1.3 Method of Variation of Parameters

For the second order equation $$y''+P(x)y'+Q(x)y=R(x),\qquad \text{C.F.}=c_1y_1+c_2y_2,$$ $$\boxed{\,y_p=u_1y_1+u_2y_2\,},\qquad u_1=-\int\frac{y_2R}{W}dx,\qquad u_2=\int\frac{y_1R}{W}dx,$$ $$W=\begin{vmatrix}y_1 & y_2\\ y_1' & y_2'\end{vmatrix}=y_1y_2'-y_2y_1'\ (\neq 0).$$ The complete solution is \(y=\text{C.F.}+y_p\).

1.4 Homogeneous equations of Euler's and Legendre's type

Euler (Cauchy–Euler) equation
$$a_0x^n\frac{d^ny}{dx^n}+a_1x^{n-1}\frac{d^{n-1}y}{dx^{n-1}}+\cdots+a_ny=X(x)$$ Put \(x=e^{z}\), i.e. \(z=\log x\), and \(\theta\equiv x\dfrac{d}{dx}=\dfrac{d}{dz}\). Then $$x y'=\theta y,\quad x^2y''=\theta(\theta-1)y,\quad x^3y'''=\theta(\theta-1)(\theta-2)y,\ \dots$$ Solve the resulting constant-coefficient equation in \(\theta\), then replace \(z=\log x\).
Roots in \(\theta\)C.F.
\(m_1\neq m_2\) real\(c_1x^{m_1}+c_2x^{m_2}\)
\(m,m\) equal\((c_1+c_2\log x)x^{m}\)
\(\alpha\pm i\beta\)\(x^{\alpha}\big[c_1\cos(\beta\log x)+c_2\sin(\beta\log x)\big]\)
Legendre's linear equation
$$a_0(a+bx)^n y^{(n)}+a_1(a+bx)^{n-1}y^{(n-1)}+\cdots+a_ny=X(x)$$ Put \(a+bx=e^{z}\), i.e. \(z=\log(a+bx)\), \(\theta=(a+bx)\dfrac{d}{dx}=\dfrac{d}{dz}\), so $$(a+bx)y'=\theta y,\qquad (a+bx)^2y''=\theta(\theta-1)y,\ \dots$$ Quick sanity rule: in both cases, once \(z=\log(\cdot)\) is used, "\(x^k\)" behaves like \(e^{kz}\) and the whole machinery of Unit 1.1–1.2 applies with \(D\equiv d/dz\).

1.5 Simultaneous linear differential equations with constant coefficients

Method 1 — Elimination
  1. Write both equations in \(D\) form (e.g. \(Dx-2y=e^t\)).
  2. Operate on the equations with suitable operators so that one dependent variable cancels; this yields a single higher-order equation in the other variable.
  3. Solve it; get the second variable from one of the original equations. Keep only the correct number of arbitrary constants.
Method 2 — Laplace transform (fast and safe; also used in Unit 4)

Transform both equations using the given initial values, solve the pair of algebraic equations for \(\bar x,\bar y\), then invert.

Tip
If the equations are symmetric (e.g. \(Dx+y=0,\ Dy+x=0\)), it is quicker to add and subtract to decouple: \((D+1)(x+y)=0,\ (D-1)(x-y)=0\).

1.6 Unit 1 — Worked Examples & Question Bank

Example 1 — \( (D^2-3D+2)y=e^{3x}\)

C.F.: \(m^2-3m+2=0\Rightarrow m=1,2\Rightarrow c_1e^{x}+c_2e^{2x}\).

P.I. (Rule 1): \(\dfrac{e^{3x}}{9-9+2}=\dfrac{e^{3x}}{2}\).

Answer: \(y=c_1e^{x}+c_2e^{2x}+\tfrac12 e^{3x}\).

Example 2 — \( (D^2+4)y=\sin 2x\) (resonance)

C.F.: \(c_1\cos 2x+c_2\sin 2x\).

Here \(f(-a^2)=f(-4)=0\), \(f(D^2)=(D^2+4)g\) with \(g=1\), \(a=2\).

P.I. \(=\dfrac{-x\cos 2x}{2(2)(1)}=-\dfrac{x}{4}\cos 2x\).

Answer: \(y=c_1\cos 2x+c_2\sin 2x-\tfrac{x}{4}\cos 2x\).

Example 3 — \( (D^2+3D+2)y=x^2\)

\(\text{P.I.}=\dfrac{1}{2}\Big[1+\dfrac{3D+D^2}{2}\Big]^{-1}x^2=\dfrac{1}{2}\Big[x^2-\dfrac{3(2x)+2}{2}+\dfrac{9(2)}{4}\Big]\)

\(=\dfrac12\big[x^2-3x-1+4.5\big]=\dfrac{x^2}{2}-\dfrac{3x}{2}+\dfrac{7}{4}\).

Answer: \(y=c_1e^{-x}+c_2e^{-2x}+\tfrac{x^2}{2}-\tfrac{3x}{2}+\tfrac74\). (Substitute back to verify: \(y''+3y'+2y=x^2\). ✓)

Example 4 — \( (D^2+1)y=e^{2x}\sin x\) (Rule 6)

\(f(a+ib)=f(2+i)=(2+i)^2+1=4+4i=4(1+i)\), so \(\dfrac{1}{f(2+i)}=\dfrac{1-i}{8}\).

\(\text{P.I.}=\operatorname{Im}\Big[\dfrac{1-i}{8}e^{2x}(\cos x+i\sin x)\Big]=\dfrac{e^{2x}}{8}(\sin x-\cos x)\).

Answer: \(y=c_1\cos x+c_2\sin x+\dfrac{e^{2x}}{8}(\sin x-\cos x)\).

Example 5 — Variation of parameters: \(y''+a^2y=\sec ax\)

\(y_1=\cos ax,\ y_2=\sin ax,\ R=\sec ax\), and \(W=y_1y_2'-y_2y_1'=a\cos^2ax+a\sin^2ax=a\).

\(u_1=-\displaystyle\int\frac{\sin ax\cdot\sec ax}{a}dx=-\frac1a\int\tan ax\,dx=\frac{1}{a^2}\ln(\cos ax)\).

\(u_2=\displaystyle\int\frac{\cos ax\cdot\sec ax}{a}dx=\frac{x}{a}\).

Answer: \(y=c_1\cos ax+c_2\sin ax+\dfrac{\cos ax}{a^2}\ln(\cos ax)+\dfrac{x\sin ax}{a}\).

Example 6 — Euler: \(x^2y''-3xy'+4y=x^2\)

Put \(x=e^z,\ \theta=xD\): \((\theta^2-4\theta+4)y=x^2=e^{2z}\) since \(x^2=e^{2z}\).

C.F.: \((\theta-2)^2=0\Rightarrow y=(c_1+c_2z)e^{2z}=(c_1+c_2\log x)x^2\).

P.I.: \(f(D)=D^2-4D+4\), \(f(2)=0,\ f'(2)=0,\ f''=2\Rightarrow \text{P.I.}=\dfrac{z^2e^{2z}}{2}=\dfrac{x^2(\log x)^2}{2}\).

Answer: \(y=(c_1+c_2\log x)x^2+\tfrac12x^2(\log x)^2\).

Example 7 — Legendre: \((1+x)^2y''+(1+x)y'+y=4\cos\big(\log(1+x)\big)\)

Put \(1+x=e^z,\ \theta=(1+x)D\). Then \((1+x)^2y''=\theta(\theta-1)y\), giving \((\theta^2+1)y=4\cos z\).

C.F.: \(c_1\cos z+c_2\sin z\). P.I. resonance: \(\dfrac{1}{D^2+1}4\cos z=4\cdot\dfrac{z\sin z}{2\cdot 1}=2z\sin z\).

Answer: \(y=c_1\cos z+c_2\sin z+2z\sin z\), with \(z=\log(1+x)\).

Example 8 — Simultaneous: \(\dfrac{dx}{dt}=y,\quad \dfrac{dy}{dt}=x\)

In operator form \(Dx-y=0,\ Dy-x=0\). Eliminate \(y\): from the first, \(y=Dx\), so \(D(Dx)-x=0\Rightarrow(D^2-1)x=0\).

\(x=c_1e^{t}+c_2e^{-t}\), hence \(y=Dx=c_1e^{t}-c_2e^{-t}\).

Answer: \(x=c_1e^{t}+c_2e^{-t},\quad y=c_1e^{t}-c_2e^{-t}\).

Part A — 2-mark questions (Unit 1)
1. Write the C.F. of \((D^2-5D+6)y=0\).
2. Find the P.I. of \((D^2+1)y=\cos 2x\). [Ans. \(-\tfrac13\cos 2x\)]
3. Find \(\dfrac{1}{(D-1)^2}x^2\). [Ans. \(x^2+4x+6\), or as a factor times \(x^2+...\): \(\tfrac{1}{1}(1-D)^{-2}x^2\)]
4. State why \(e^{ax}\) is replaced by \(a\), and \(D^2\) by \(-a^2\) in P.I. rules.
5. When is the method of variation of parameters preferred over the operator method?
6. Transform \(x^2y''+xy'-y=0\) into a constant-coefficient equation.
7. Write the substitution used for Legendre's equation of order two.
8. State the number of constants in the solution of a system of two simultaneous first-order equations.
Part B — 16-mark questions (Unit 1)
  1. Solve \((D^2+4D+4)y=e^{-2x}+x^2\) and \((D^2+a^2)y=\sin ax\), explaining the resonance rule.
  2. Solve \(y''+y=\sec x\) (or \(x^2\)) by the method of variation of parameters.
  3. Solve \(x^2y''+xy'-y=x\log x\) (Euler type) and also \(x^2y''-2xy'+2y=x^3\).
  4. Solve \((1+x)^2y''+(1+x)y'+y=\sin\big(2\log(1+x)\big)\) (Legendre type).
  5. Solve the simultaneous system \(Dx-2y=e^{t},\ Dy+2x=e^{-t}\) with \(x(0)=y(0)=1\) (elimination or Laplace).
  6. Solve \((D^2+1)y=e^{2x}\cos x+x\sin x\), applying all relevant P.I. rules.

UNIT 2Vector Calculus (9 Hrs)

CO2, CO5. Gradient, divergence, curl → directional derivative → irrotational/solenoidal → vector integration → Green, Gauss, Stokes (no proofs) → cube/rectangular-box applications.

2.1 Gradient, divergence and curl

The del operator
$$\nabla=\mathbf i\frac{\partial}{\partial x}+\mathbf j\frac{\partial}{\partial y}+\mathbf k\frac{\partial}{\partial z}$$
OperatorActs onFormulaResult
Gradient \(\nabla\phi\)scalar field \(\phi\)\(\dfrac{\partial\phi}{\partial x}\mathbf i+\dfrac{\partial\phi}{\partial y}\mathbf j+\dfrac{\partial\phi}{\partial z}\mathbf k\)vector
Divergence \(\nabla\cdot\mathbf F\)vector \(\mathbf F=F_1\mathbf i+F_2\mathbf j+F_3\mathbf k\)\(\dfrac{\partial F_1}{\partial x}+\dfrac{\partial F_2}{\partial y}+\dfrac{\partial F_3}{\partial z}\)scalar
Curl \(\nabla\times\mathbf F\)vector \(\mathbf F\)\(\begin{vmatrix}\mathbf i&\mathbf j&\mathbf k\\ \partial_x&\partial_y&\partial_z\\ F_1&F_2&F_3\end{vmatrix}\)vector
$$\nabla\times\mathbf F=\Big(\tfrac{\partial F_3}{\partial y}-\tfrac{\partial F_2}{\partial z}\Big)\mathbf i+\Big(\tfrac{\partial F_1}{\partial z}-\tfrac{\partial F_3}{\partial x}\Big)\mathbf j+\Big(\tfrac{\partial F_2}{\partial x}-\tfrac{\partial F_1}{\partial y}\Big)\mathbf k$$

2.2 Directional derivative

The derivative of \(\phi\) at \(P\) in the direction of the unit vector \(\hat{\mathbf a}\) is $$\frac{d\phi}{ds}=\nabla\phi\cdot\hat{\mathbf a}=\big(\nabla\phi\big)_P\cdot\frac{\mathbf a}{|\mathbf a|}.$$
  • Maximum value \(=|\nabla\phi|\), occurring along \(\nabla\phi\) itself.
  • Minimum value \(=-|\nabla\phi|\); zero along any direction perpendicular to \(\nabla\phi\).
  • \(\nabla\phi\) is normal to the level surface \(\phi(x,y,z)=c\).

2.3 Irrotational and Solenoidal fields

Irrotational: \(\nabla\times\mathbf F=\mathbf 0\). Then \(\mathbf F\) is conservative and \(\mathbf F=\nabla\phi\) for a scalar potential \(\phi\); the line integral is path-independent and \(\oint_C\mathbf F\cdot d\mathbf r=0\) around every closed curve.

Solenoidal: \(\nabla\cdot\mathbf F=0\). Then the flux through every closed surface is zero; \(\mathbf F=\nabla\times\mathbf A\) for some vector potential \(\mathbf A\).

2.4 Vector integration

TypeNotationMeaning
Line integral\(\displaystyle\int_C \mathbf F\cdot d\mathbf r=\int_C(F_1dx+F_2dy+F_3dz)\)work done along a curve \(C\); if \(\mathbf F=\nabla\phi\), value \(=\phi(B)-\phi(A)\), path-independent
Surface integral (flux)\(\displaystyle\iint_S\mathbf F\cdot\hat{\mathbf n}\,dS\)flux of \(\mathbf F\) across surface \(S\)
Volume integral\(\displaystyle\iiint_V \phi\,dV\) or \(\iiint_V\mathbf F\,dV\)integrate over a solid region \(V\)
For a plane \(ax+by+cz=d\), the unit normal is \(\hat{\mathbf n}=\dfrac{a\mathbf i+b\mathbf j+c\mathbf k}{\sqrt{a^2+b^2+c^2}}\). For a box face \(x=0\) the outward normal is \(-\mathbf i\); for \(x=a\), \(+\mathbf i\).

2.5 The three big theorems (statements only — no proofs needed)

Green's theorem in a plane
If \(L(x,y),M(x,y)\) and their first partial derivatives are continuous in a simply connected plane region \(R\) bounded by a closed curve \(C\), $$\oint_C\big(L\,dx+M\,dy\big)=\iint_R\Big(\frac{\partial M}{\partial x}-\frac{\partial L}{\partial y}\Big)dx\,dy$$ (traverse \(C\) anticlockwise, keeping \(R\) on the left).
Gauss divergence theorem
For a vector field \(\mathbf F=F_1\mathbf i+F_2\mathbf j+F_3\mathbf k\) with continuous first partials in a region \(V\) bounded by a closed surface \(S\), $$\oiint_S \mathbf F\cdot\hat{\mathbf n}\,dS=\iiint_V\big(\nabla\cdot\mathbf F\big)\,dV .$$
Stokes' theorem
For an open surface \(S\) bounded by a closed curve \(C\), $$\oint_C \mathbf F\cdot d\mathbf r=\iint_S\big(\nabla\times\mathbf F\big)\cdot\hat{\mathbf n}\,dS .$$
Which theorem to use
  • Boundary is a closed curve in a plane (triangle, rectangle, circle) → Green / Stokes.
  • Boundary is a closed surface (cube, parallelepiped, sphere) → Gauss.
  • For a box \(0\le x\le a,\ 0\le y\le b,\ 0\le z\le c\): the surface integral splits into 6 faces (\(x=0,a;\ y=0,b;\ z=0,c\)), and the volume integral becomes \(\int_0^a\!\int_0^b\!\int_0^c (\ )\,dx\,dy\,dz\).

2.6 Unit 2 — Worked Examples & Question Bank

Example 1 — Gradient and directional derivative

\(\phi=xy+yz+zx\). Then \(\nabla\phi=(y+z)\mathbf i+(x+z)\mathbf j+(y+x)\mathbf k\); at \(P(1,2,0)\): \(\nabla\phi=2\mathbf i+\mathbf j+3\mathbf k\).

Directional derivative at \(P\) along \(\mathbf i+2\mathbf j+2\mathbf k\): \(\dfrac{(2)(1)+(1)(2)+(3)(2)}{3}=\dfrac{10}{3}\).

Maximum value \(=\sqrt{4+1+9}=\sqrt{14}\), in the direction \(\dfrac{2\mathbf i+\mathbf j+3\mathbf k}{\sqrt{14}}\).

Example 2 — Irrotational field and its potential

\(\mathbf F=(y^2+2xz^2)\mathbf i+(2xy+z^2)\mathbf j+(2x^2z+2yz)\mathbf k\).

\(\nabla\times\mathbf F=\mathbf 0\) (verify each component), so \(\mathbf F\) is irrotational; find \(\phi\) with \(\mathbf F=\nabla\phi\):

\(\phi=\int(y^2+2xz^2)dx=xy^2+x^2z^2+f(y,z)\); comparing partials gives \(f=yz^2+\text{const}\).

\(\phi=xy^2+x^2z^2+yz^2+c\) (take \(c=0\)).

Example 3 — Solenoidal condition

\(\mathbf F=(x+3y)\mathbf i+(y-2z)\mathbf j+(x-\lambda z)\mathbf k\). \(\nabla\cdot\mathbf F=1+1-\lambda=0\Rightarrow\lambda=2\).

Example 4 — Green's theorem verification

Verify \(\oint_C(3x^2-8y^2)dx+(4y-6xy)\,dy\) where \(C\) bounds \(x=0,\ y=0,\ x+y=1\).

Here \(L=3x^2-8y^2,\ M=4y-6xy\), so \(\dfrac{\partial M}{\partial x}-\dfrac{\partial L}{\partial y}=-6y+16y=10y\).

\(\text{RHS}=\displaystyle\int_0^1\!\!\int_0^{1-x}10y\,dy\,dx=10\int_0^1\frac{(1-x)^2}{2}dx=\frac{5}{3}\cdot\ldots=\frac53\).

Line integral along the three edges also gives \(5/3\), so Green's theorem is verified.

Example 5 — Gauss divergence over a cube

\(\mathbf F=4xz\,\mathbf i-y^2\mathbf j+yz\,\mathbf k\) over the cube \(0\le x,y,z\le 1\).

\(\nabla\cdot\mathbf F=4z-2y+y=4z-y\). \(\displaystyle\iiint(4z-y)\,dV=4\cdot\tfrac12-\tfrac12=\tfrac32\).

Both the surface integral over the six faces and the volume integral give \(3/2\). ✓

Example 6 — Stokes' theorem over a rectangle

\(\mathbf F=(x^2-y^2)\mathbf i+2xy\,\mathbf j\) over \(0\le x\le a,\ 0\le y\le b\).

\(\nabla\times\mathbf F=(0,0,4y)\cdot\) so \(\iint_S(\nabla\times\mathbf F)\cdot\mathbf k\,dS=\int_0^a\!\!\int_0^b4y\,dy\,dx=2ab^2\).

The line integral round the rectangle \(=\;2ab^2\). ✓

Part A — 2-mark questions (Unit 2)
1. Define gradient of a scalar field and give its geometrical meaning.
2. Find \(\nabla\cdot\mathbf r\) and \(\nabla\times\mathbf r\) where \(\mathbf r=x\mathbf i+y\mathbf j+z\mathbf k\). [Ans. 3, \(\mathbf 0\)]
3. When is a vector field solenoidal? Give one example.
4. State the condition for \(\mathbf F\) to be conservative.
5. Find the unit normal to the plane \(2x+3y+6z=7\). [Ans. \(\frac{1}{7}(2\mathbf i+3\mathbf j+6\mathbf k)\)]
6. Write the statement of Stokes' theorem.
7. State Green's theorem and the orientation of \(C\).
8. Find the directional derivative of \(\phi=x^2yz\) at \((1,1,1)\) along \(\mathbf i\). [Ans. 2]
Part B — 16-mark questions (Unit 2)
  1. Find the constants \(a,b,c\) so that \(\mathbf F=(x+2y+az)\mathbf i+(bx-3y-z)\mathbf j+(4x+cy+2z)\mathbf k\) is irrotational, and find its scalar potential.
  2. Show \(\mathbf F=(y^2-z^2+3yz-2x)\mathbf i+(3xz+2xy)\mathbf j+(3xy-2xz+2z)\mathbf k\) is solenoidal and irrotational; find \(\phi\).
  3. Verify Gauss divergence theorem for \(\mathbf F=(x^2-yz)\mathbf i+(y^2-zx)\mathbf j+(z^2-xy)\mathbf k\) over the cube \(0\le x,y,z\le a\).
  4. Verify Stokes' theorem for \(\mathbf F=(2x-y)\mathbf i-yz^2\mathbf j-y^2z\mathbf k\) over the upper half surface of \(x^2+y^2+z^2=1\).
  5. Evaluate the flux of \(\mathbf F=x\mathbf i+y\mathbf j+z\mathbf k\) across the surface of the rectangular parallelepiped \(0\le x\le a,0\le y\le b,0\le z\le c\) (and confirm by Gauss).
  6. Verify Green's theorem for \(\oint_C(xy+y^2)dx+x^2dy\) where \(C\) is bounded by \(y=x\) and \(y=x^2\).

UNIT 3Laplace Transformation (9 Hrs)

CO1, CO3, CO4. Definition → standard transforms → properties → derivatives/integrals → \(e^{at}f(t),\,tf(t),\,f(t)/t\) → periodic, unit step, impulse → inverse → convolution → initial & final value theorems.

3.1 Definition and standard transforms

$$L\{f(t)\}=\bar f(s)=F(s)=\int_0^\infty e^{-st}f(t)\,dt\qquad (s>0\ \text{as required})$$ Sufficient condition: \(f\) piecewise continuous on \([0,\infty)\) and of exponential order (i.e. \(|f(t)|\le Me^{kt}\) for large \(t\)).
Standard table — memorise cold
\(f(t)\)\(F(s)=L\{f(t)\}\)\(f(t)\)\(F(s)\)
\(1\)\(\dfrac1s\)\(\sinh at\)\(\dfrac{a}{s^2-a^2}\)
\(t\)\(\dfrac{1}{s^2}\)\(\cosh at\)\(\dfrac{s}{s^2-a^2}\)
\(t^n,\ n=0,1,2,\dots\)\(\dfrac{n!}{s^{n+1}}\)\(e^{at}\sin bt\)\(\dfrac{b}{(s-a)^2+b^2}\)
\(t^{1/2}\)\(\dfrac{\sqrt\pi}{2s^{3/2}}\)\(e^{at}\cos bt\)\(\dfrac{s-a}{(s-a)^2+b^2}\)
\(t^{-1/2}\)\(\sqrt{\dfrac{\pi}{s}}\)\(t\sin at\)\(\dfrac{2as}{(s^2+a^2)^2}\)
\(e^{at}\)\(\dfrac{1}{s-a}\)\(t\cos at\)\(\dfrac{s^2-a^2}{(s^2+a^2)^2}\)
\(\sin at\)\(\dfrac{a}{s^2+a^2}\)\(\sin at-at\cos at\)\(\dfrac{2a^3}{(s^2+a^2)^2}\)
\(\cos at\)\(\dfrac{s}{s^2+a^2}\)\(\dfrac{\sin at}{t}\)\(\cot^{-1}\dfrac{s}{a}=\tan^{-1}\dfrac{a}{s}\)

3.2 Properties — shifting, scaling, \(e^{at}f(t),\,tf(t),\,f(t)/t\)

PropertyResult
Linearity\(L\{af(t)+bg(t)\}=aF(s)+bG(s)\)
First shifting (damping)\(L\{e^{at}f(t)\}=F(s-a)\)
Second shifting (unit step)\(L\{f(t-a)u(t-a)\}=e^{-as}F(s)\)
Change of scale\(L\{f(at)\}=\dfrac1aF\!\left(\dfrac{s}{a}\right),\ a>0\)
Multiplication by \(t\)\(L\{t\,f(t)\}=-\dfrac{d}{ds}F(s)\)
Multiplication by \(t^n\)\(L\{t^nf(t)\}=(-1)^n\dfrac{d^n}{ds^n}F(s)\)
Division by \(t\)\(L\left\{\dfrac{f(t)}{t}\right\}=\displaystyle\int_s^\infty F(u)\,du\), if \(\lim_{t\to0^+}\dfrac{f(t)}{t}\) exists
General \(e^{at}\) with \(t^n\)\(L\{t^ne^{at}\}=\dfrac{n!}{(s-a)^{n+1}}\)
Standard derived results: \(L\{t\sin at\}=\dfrac{2as}{(s^2+a^2)^2}\), \(L\{t\cos at\}=\dfrac{s^2-a^2}{(s^2+a^2)^2}\), \(L\left\{\dfrac{1-e^{-t}}{t}\right\}=\log\left(1+\dfrac1s\right)\), \(L\left\{\dfrac{e^{-at}-e^{-bt}}{t}\right\}=\log\dfrac{s+b}{s+a}\).

3.3 Transforms of derivatives and integrals

$$L\{f'(t)\}=sF(s)-f(0)$$ $$L\{f''(t)\}=s^2F(s)-sf(0)-f'(0)$$ $$L\{f^{(n)}(t)\}=s^nF(s)-s^{n-1}f(0)-s^{n-2}f'(0)-\cdots-f^{(n-1)}(0)$$ $$L\left\{\int_0^t f(u)\,du\right\}=\frac{F(s)}{s}\qquad\text{(division by }t\text{ corresponds to integration in }s\text{; integration in }t\text{ to division by }s)$$

3.4 Periodic functions, unit step function and impulse function

Periodic function with period \(T\): $$L\{f(t)\}=\frac{1}{1-e^{-sT}}\int_0^{T}e^{-st}f(t)\,dt$$ (E.g. for the square wave \(f(t)=1\) on \(0
Unit step function: \(u(t-a)=0\) for \(t
Impulse (Dirac delta) function: \(\delta(t-a)=\lim_{\epsilon\to0}\) of a unit-area pulse at \(t=a\), with \(\int_0^\infty\delta(t-a)dt=1\). $$L\{\delta(t-a)\}=e^{-as},\qquad L\{\delta(t)\}=1.$$

3.5 Inverse Laplace transform and the convolution theorem

Standard inverses: \(L^{-1}\{\tfrac1s\}=1,\ L^{-1}\{\tfrac{1}{s^n}\}=\dfrac{t^{n-1}}{(n-1)!},\ L^{-1}\{\tfrac{1}{s-a}\}=e^{at},\) \(L^{-1}\{\tfrac{a}{s^2+a^2}\}=\sin at,\ L^{-1}\{\tfrac{s}{s^2+a^2}\}=\cos at,\ L^{-1}\{\tfrac{1}{s^2-a^2}\}=\dfrac{\sinh at}{a},\ L^{-1}\{\tfrac{1}{\sqrt s}\}=\dfrac{1}{\sqrt{\pi t}}\).

Methods, in order of speed:
  1. Partial fractions — for rational \(F(s)\), split into the table forms.
  2. First shifting — \(L^{-1}\{F(s-a)\}=e^{at}L^{-1}\{F(s)\}\).
  3. Second shifting — \(L^{-1}\{e^{-as}F(s)\}=f(t-a)u(t-a)\).
  4. Completing the square — for \((s-a)^2+b^2\) forms, gives \(e^{at}\sin/\cos bt\).
  5. Division by \(s\) — \(L^{-1}\{F(s)/s\}=\int_0^tf(u)du\).
  6. Convolution theorem — for products that resist the above.
Convolution theorem
If \(L\{f(t)\}=F(s)\) and \(L\{g(t)\}=G(s)\), then $$L\{f*g\}=F(s)G(s),\qquad f*g=\int_0^t f(u)\,g(t-u)\,du,$$ $$L^{-1}\{F(s)G(s)\}=\int_0^t f(u)\,g(t-u)\,du .$$

3.6 Initial and final value theorems

$$\textbf{Initial value theorem:}\quad f(0^+)=\lim_{t\to0^+}f(t)=\lim_{s\to\infty}sF(s)$$ $$\textbf{Final value theorem:}\quad \lim_{t\to\infty}f(t)=\lim_{s\to0}sF(s)\quad(\text{valid if poles of }sF(s)\text{ lie in } \operatorname{Re}s<0,\ \text{except }s=0)$$

3.7 Unit 3 — Worked Examples & Question Bank

Example 1 — \(L\{t\sin at\}\) and \(L\{t\cos at\}\)

\(L\{\sin at\}=\dfrac{a}{s^2+a^2}\). Using \(L\{tf(t)\}=-F'(s)\): \(L\{t\sin at\}=-\dfrac{d}{ds}\dfrac{a}{s^2+a^2}=\dfrac{2as}{(s^2+a^2)^2}\).

Similarly \(L\{t\cos at\}=-\dfrac{d}{ds}\dfrac{s}{s^2+a^2}=\dfrac{s^2-a^2}{(s^2+a^2)^2}\).

Example 2 — \(L\left\{\dfrac{\sin at}{t}\right\}\)

\(L\left\{\dfrac{\sin at}{t}\right\}=\displaystyle\int_s^\infty\frac{a}{u^2+a^2}du=\Big[\tan^{-1}\frac{u}{a}\Big]_s^\infty=\frac{\pi}{2}-\tan^{-1}\frac{s}{a}=\cot^{-1}\frac{s}{a}\).

Example 3 — First shifting

\(L\{e^{-2t}t^2\}=\dfrac{2!}{(s+2)^3}=\dfrac{2}{(s+2)^3};\qquad L\{e^{-3t}\cos 4t\}=\dfrac{s+3}{(s+3)^2+16}\).

Example 4 — Inverse by shifting: \(L^{-1}\left\{\dfrac{s+1}{s^2+2s+5}\right\}\)

\(s^2+2s+5=(s+1)^2+4\), so \(F(s-(-1))\) with \(F(s)=\dfrac{s}{s^2+4}\).

\(=e^{-t}\cos 2t\).

Example 5 — Convolution: \(L^{-1}\left\{\dfrac{1}{s(s^2+1)}\right\}\)

Take \(f(t)=1,\ g(t)=\sin t\). Then \(\displaystyle\int_0^t 1\cdot\sin(t-u)du=\big[\cos(t-u)\big]_0^t=1-\cos t\).

Answer \(=1-\cos t\). ✓ (Also obtainable by partial fractions.)

Example 6 — Periodic function

For the half-rectified sine \(f(t)=|\sin t|\) (period \(\pi\)): \(L\{f\}=\dfrac{1}{1-e^{-\pi s}}\displaystyle\int_0^{\pi}e^{-st}\sin t\,dt=\dfrac{1}{1-e^{-\pi s}}\cdot\dfrac{1+e^{-\pi s}}{s^2+1}=\dfrac{\coth\frac{\pi s}{2}}{s^2+1}.\)

Example 7 — Unit step

If \(f(t)=t\) for \(01\), write \(f(t)=t-t\,u(t-1)=t-(t-1)u(t-1)-u(t-1)\), hence \(L\{f\}=\dfrac1{s^2}-e^{-s}\Big(\dfrac{1}{s^2}+\dfrac1s\Big).\)

Example 8 — Initial and final value

For \(F(s)=\dfrac{1}{s(s+2)}\): \(f(0^+)=\lim_{s\to\infty}\dfrac{s}{s(s+2)}=0\) and \(\lim_{t\to\infty}f(t)=\lim_{s\to0}\dfrac{s}{s(s+2)}=\dfrac12\), matching \(f(t)=\tfrac12(1-e^{-2t})\).

Part A — 2-mark questions (Unit 3)
1. Define the Laplace transform of \(f(t)\); state its kernel.
2. Find \(L\{t^3\}\), \(L\{e^{-2t}\}\), \(L\{\cosh 3t\}\). [Ans. \(6/s^4,\ 1/(s+2),\ s/(s^2-9)\)]
3. State the first shifting theorem.
4. Find \(L\{t\,e^{-t}\}\). [Ans. \(1/(s+1)^2\)]
5. Find \(L\{f'(t)\}\) in terms of \(F(s)\).
6. State the convolution theorem.
7. Find \(L\{u(t-3)\}\) and \(L\{\delta(t-2)\}\). [Ans. \(e^{-3s}/s,\ e^{-2s}\)]
8. State the initial and final value theorems.
9. Find \(L^{-1}\{1/(s^2+9)\}\). [Ans. \(\tfrac13\sin 3t\)]
Part B — 16-mark questions (Unit 3)
  1. Find \(L\{t^2e^{-3t}\sin 4t\}\) and \(L\left\{\dfrac{e^{-2t}-e^{-5t}}{t}\right\}\).
  2. Find \(L\) of the periodic square wave of period \(2a\), and of the triangular wave of period \(2a\).
  3. Express \(f(t)=\begin{cases}t,&0
  4. Find \(L^{-1}\left\{\dfrac{s}{(s^2+a^2)(s^2+b^2)}\right\}\) using the convolution theorem.
  5. Find \(L^{-1}\left\{\dfrac{s^2}{(s^2+4)(s^2+9)}\right\}\) by partial fractions and verify by convolution.
  6. Prove \(L\left\{\dfrac{\sin t}{t}\right\}=\cot^{-1}s\) and hence evaluate \(\displaystyle\int_0^\infty\frac{\sin t}{t}dt=\frac{\pi}{2}\).

UNIT 4Applications of Laplace Transformation (9 Hrs)

CO6, CO4. Solve linear ODEs with constant coefficients, integral equations (convolution type) and simultaneous linear differential equations using Laplace transforms.

4.1 The general recipe

  1. Take Laplace transform of both sides of the equation (using \(L\{y'\}=sY-y(0)\), \(L\{y''\}=s^2Y-sy(0)-y'(0)\)).
  2. Substitute the given initial/boundary conditions.
  3. Solve the resulting algebraic equation (or system) for \(Y(s)\).
  4. Take the inverse Laplace transform using partial fractions, shifting, or convolution.
Laplace transforms absorb initial conditions automatically — no separate C.F./P.I. work, and no constants to determine.

4.2 Linear ODE with constant coefficients

Solved — \(y''+3y'+2y=e^{-t},\quad y(0)=0,\ y'(0)=0\)

Transforming: \((s^2Y-s\cdot0-0)+3(sY-0)+2Y=\dfrac{1}{s+1}\)

\((s^2+3s+2)Y=\dfrac{1}{s+1}\Rightarrow Y=\dfrac{1}{(s+1)^2(s+2)}\).

Partial fractions: \(\dfrac{1}{(s+1)^2(s+2)}=\dfrac{1}{s+1}-\dfrac{1}{(s+1)^2}-\dfrac{1}{s+2}\).

\(y=e^{-t}-te^{-t}-e^{-2t}=e^{-t}(1-t)-e^{-2t}\).

Solved — \(y''+4y=\sin 2t,\ y(0)=0,\ y'(0)=0\)

\((s^2+4)Y=\dfrac{2}{s^2+4}\Rightarrow Y=\dfrac{2}{(s^2+4)^2}\).

Using \(L^{-1}\left\{\dfrac{2a^3}{(s^2+a^2)^2}\right\}=\sin at-at\cos at\) with \(a=2\): \(\dfrac{2}{(s^2+4)^2}=\dfrac{1}{16}\cdot\dfrac{2\cdot 8}{(s^2+4)^2}\).

\(y=\dfrac{1}{16}\big(\sin 2t-2t\cos 2t\big)\).

4.3 Integral equations — convolution type

Volterra integral equation of convolution type
$$y(t)=f(t)+\lambda\int_0^t k(t-u)\,y(u)\,du$$ Taking transforms and using the convolution theorem with \(L\{k\}=K(s)\): $$Y(s)=F(s)+\lambda K(s)Y(s)\ \Longrightarrow\ \boxed{Y(s)=\dfrac{F(s)}{1-\lambda K(s)}}$$ then invert. Distinguish the kernel \(k(t-u)\) (difference kernel → convolution) from a general \(k(t,u)\) (not solvable this way).

Solved — \(y(t)=1+\displaystyle\int_0^t y(u)\,du\)

\(Y=\dfrac1s+\dfrac{Y}{s}\Rightarrow Y\Big(1-\dfrac1s\Big)=\dfrac1s\Rightarrow Y=\dfrac{1}{s-1}\).

\(y(t)=e^{t}\). ✓

Solved — \(y(t)=t+\displaystyle\int_0^t \sin(t-u)\,y(u)\,du\)

\(Y=\dfrac{1}{s^2}+\dfrac{1}{s^2+1}Y\Rightarrow Y\dfrac{s^2}{s^2+1}=\dfrac1{s^2}\Rightarrow Y=\dfrac{s^2+1}{s^4}=\dfrac{1}{s^2}+\dfrac{1}{s^4}\).

\(y(t)=t+\dfrac{t^3}{6}\).

Solved — \(t=\displaystyle\int_0^t e^{t-u}y(u)\,du\)

\(\dfrac{1}{s^2}=\dfrac{1}{s-1}Y\Rightarrow Y=\dfrac{s-1}{s^2}=\dfrac1s-\dfrac{1}{s^2}\).

\(y(t)=1-t\).

4.4 Simultaneous linear differential equations

Solved — \(\dfrac{dx}{dt}+y=e^{t},\quad \dfrac{dy}{dt}+x=e^{t}\), with \(x(0)=y(0)=1\)

Transforming: \(sX-1+Y=\dfrac{1}{s-1}\) and \(sY-1+X=\dfrac{1}{s-1}\).

Add: \((s+1)(X+Y)-2=\dfrac{2}{s-1}\Rightarrow X+Y=\dfrac{2}{(s+1)(s-1)}+\dfrac{2}{s+1}=\dfrac{2s}{(s+1)(s-1)}\cdot\ldots\)

Subtract: \((s-1)(X-Y)=0\Rightarrow X=Y\).

Hence \(X=Y=\dfrac{1}{s+1}+\dfrac{1}{s-1}\) (after simplifying \(X\) from the sum).

\(x(t)=y(t)=e^{-t}+e^{t}=2\cosh t\).

Standard exam moves in this unit
  • Add/subtract symmetric systems instead of Cramer's rule — it is much shorter.
  • Always keep \(Y(s)\) in a form matching the standard table before inverting.
  • For a repeated pole \((s-a)^2\), expect a \(te^{at}\) term.
  • For \((s^2+a^2)^2\), expect \(\sin at-at\cos at\) type behaviour (resonance).

4.5 Unit 4 — Question Bank

Part A — 2-mark questions
1. Why do we not need to find C.F. and P.I. separately in this method?
2. Transform the initial-value ODE \(y''+y=t,\ y(0)=1,\ y'(0)=0\).
3. Convert \(y(t)=1-\int_0^ty(u)du\) into an algebraic equation in \(Y(s)\).
4. State the condition under which \(\int_0^tk(t,u)y(u)du\) is a convolution.
5. Solve \(y(t)=\int_0^t y(u)du\) for \(Y(s)\). [Ans. \(Y=0\) i.e. \(y\equiv0\)]
Part B — 16-mark questions
  1. Solve \(y''-4y'+3y=e^{2t}\) with \(y(0)=0,y'(0)=1\) using Laplace transforms.
  2. Solve \(y''+y'+y=1\), \(y(0)=0,\ y'(0)=0\).
  3. Solve \(y(t)=1+t-\displaystyle\int_0^t(t-u)y(u)du\). [Hint: \(Y=\frac{1}{s}+\frac{1}{s^2}-\frac{Y}{s^2}\)]
  4. Solve \(y(t)=e^{-t}+\displaystyle\int_0^te^{u-t}y(u)du\). [Ans. \(y=e^{-t}+t\)]
  5. Solve the system \(\dfrac{dx}{dt}=2x-3y,\ \dfrac{dy}{dt}=x-2y\) with \(x(0)=8,\ y(0)=3\).
  6. Solve \(\dfrac{dx}{dt}+2x+3y=0,\ \dfrac{dy}{dt}+3x+2y=2e^{2t},\ x(0)=y(0)=0\).

UNIT 5Fourier Transformation (9 Hrs)

CO3, CO4. Infinite Fourier transform → sine/cosine transforms → properties → inversion → convolution → Parseval → finite sine/cosine transforms.

5.1 The infinite Fourier transform

Convention used throughout (state it in the exam!)
$$F(s)=\mathcal F\{f(x)\}=\frac{1}{\sqrt{2\pi}}\int_{-\infty}^{\infty}f(x)\,e^{isx}\,dx$$ $$\text{Inversion:}\qquad f(x)=\frac{1}{\sqrt{2\pi}}\int_{-\infty}^{\infty}F(s)\,e^{-isx}\,ds$$ Some books use the kernel \(e^{-isx}\) in the forward transform and \(e^{+isx}\) in the inverse; the symmetric \(\frac{1}{\sqrt{2\pi}}\) factor, the inversion theorem, convolution and Parseval are identical in content. If a question prescribes a kernel, follow the question.
Inversion theorem (statement): if \(f\) satisfies Dirichlet's conditions on every finite interval, \(f\) is absolutely integrable on \((-\infty,\infty)\), and \(f\) is continuous at \(x\), then \(f(x)=\frac{1}{\sqrt{2\pi}}\int_{-\infty}^{\infty}F(s)e^{-isx}ds\); at a jump discontinuity the right side equals the mean value \(\frac{f(x+)+f(x-)}{2}\).

5.2 Fourier sine and cosine transforms

$$\mathcal F_s\{f(x)\}=F_s(s)=\sqrt{\frac{2}{\pi}}\int_0^\infty f(x)\sin sx\,dx,\qquad f(x)=\sqrt{\frac{2}{\pi}}\int_0^\infty F_s(s)\sin sx\,ds$$ $$\mathcal F_c\{f(x)\}=F_c(s)=\sqrt{\frac{2}{\pi}}\int_0^\infty f(x)\cos sx\,dx,\qquad f(x)=\sqrt{\frac{2}{\pi}}\int_0^\infty F_c(s)\cos sx\,ds$$ When to use which: sine transform for \(f\) specified on \(x\ge0\) with \(f(0)=0\) (or a Dirichlet condition), cosine transform when \(f'(0)=0\) (Neumann condition). Both are used for semi-infinite ranges and for PDE problems on \(0
Standard transform pairs
\(f(x)\)\(F_s(s)\)\(F_c(s)\)
\(e^{-ax},\ a>0\)\(\sqrt{\dfrac{2}{\pi}}\dfrac{s}{s^2+a^2}\)\(\sqrt{\dfrac{2}{\pi}}\dfrac{a}{s^2+a^2}\)
\(x\,e^{-ax}\)\(\sqrt{\dfrac{2}{\pi}}\dfrac{2as}{(s^2+a^2)^2}\)\(\sqrt{\dfrac{2}{\pi}}\dfrac{s^2-a^2}{(s^2+a^2)^2}\)
\(\dfrac{1}{x}\)\(\sqrt{\dfrac{\pi}{2}}\)—
\(f(x)=\begin{cases}1,&|x|a\end{cases}\) (FT)\(F(s)=\sqrt{\dfrac{2}{\pi}}\dfrac{\sin as}{s}\)
\(f(x)=\begin{cases}1,&0a\end{cases}\)\(\sqrt{\dfrac{2}{\pi}}\dfrac{1-\cos as}{s}\)\(\sqrt{\dfrac{2}{\pi}}\dfrac{\sin as}{s}\)

5.3 Properties (with the \(e^{isx}\) convention)

PropertyResult
Linearity\(\mathcal F\{af+bg\}=aF(s)+bG(s)\)
Change of scale\(\mathcal F\{f(ax)\}=\dfrac1{|a|}F\!\left(\dfrac{s}{a}\right)\)
Shifting in \(x\)\(\mathcal F\{f(x-a)\}=e^{ias}F(s)\)
Modulation\(\mathcal F\{e^{iax}f(x)\}=F(s+a)\)
Derivative\(\mathcal F\{f'(x)\}=-isF(s)\), \(\mathcal F\{f''(x)\}=-s^2F(s)\) (for \(f,f'\to0\) as \(|x|\to\infty\))
Multiplication by \(x\)\(\mathcal F\{x\,f(x)\}=i\dfrac{d}{ds}F(s)\)
Sine transform of \(f'\)\(\mathcal F_s\{f'\}=-\dfrac{s}{\sqrt{2\pi}}\,2?\ \) → use the direct form: \(\mathcal F_s\{f''\}=-s^2F_s(s)+\sqrt{\dfrac{2}{\pi}}\,s\,f(0)\)
Cosine transform of \(f''\)\(\mathcal F_c\{f''\}=-s^2F_c(s)-\sqrt{\dfrac{2}{\pi}}\,f'(0)\)
Derive the two transform-of-derivative formulas by parts once and you will never need to memorise them separately.

5.4 Convolution theorem and Parseval's identity

Convolution
$$(f*g)(x)=\frac{1}{\sqrt{2\pi}}\int_{-\infty}^{\infty}f(u)\,g(x-u)\,du\ \Longrightarrow\ \mathcal F\{f*g\}=F(s)\,G(s)$$ (Some texts define \(f*g=\int f(u)g(x-u)du\) without the factor; then \(\mathcal F\{f*g\}=\sqrt{2\pi}F(s)G(s)\). Match your text.)
Parseval's identity
$$\int_{-\infty}^{\infty}\big|f(x)\big|^2dx=\int_{-\infty}^{\infty}\big|F(s)\big|^2ds$$ Sine/cosine forms: \(\displaystyle\int_0^\infty\big|f(x)\big|^2dx=\int_0^\infty\big|F_s(s)\big|^2ds=\int_0^\infty\big|F_c(s)\big|^2ds\).
Use: evaluating definite integrals of the form \(\int_0^\infty\frac{\sin^2ax}{x^2}dx\), \(\int_0^\infty\frac{dx}{(a^2+x^2)^2}\), etc.

5.5 Finite Fourier sine and cosine transforms

On the interval \((0,l)\)
$$\mathcal F_s\{f(x)\}=F_s(n)=\int_0^{l}f(x)\sin\frac{n\pi x}{l}\,dx,\qquad f(x)=\frac{2}{l}\sum_{n=1}^{\infty}F_s(n)\sin\frac{n\pi x}{l}$$ $$\mathcal F_c\{f(x)\}=F_c(n)=\int_0^{l}f(x)\cos\frac{n\pi x}{l}\,dx,\qquad f(x)=\frac{1}{l}F_c(0)+\frac{2}{l}\sum_{n=1}^{\infty}F_c(n)\cos\frac{n\pi x}{l}$$ Transforms of derivatives (let \(k=\dfrac{n\pi}{l}\)): $$\mathcal F_s\{f''\}=-k^2F_s(n)+k\big[f(0)-(-1)^nf(l)\big]$$ $$\mathcal F_c\{f''\}=-k^2F_c(n)+\big[(-1)^nf'(l)-f'(0)\big]$$ Finite sine transform of \(1\): \(F_s(n)=\dfrac{l}{n\pi}\big(1-(-1)^n\big)\) — nonzero only for odd \(n\). Finite cosine transform of \(1\): \(F_c(0)=l,\ F_c(n)=0\).
These are exactly the tools used to solve the heat equation \(u_t=c^2u_{xx}\) and the wave equation on a finite rod with boundary values at \(x=0\) and \(x=l\).

5.6 Unit 5 — Worked Examples & Question Bank

Example 1 — Fourier transform of the rectangular pulse

\(f(x)=1\) for \(|x|a\): \(F(s)=\dfrac{1}{\sqrt{2\pi}}\displaystyle\int_{-a}^{a}e^{isx}dx=\dfrac{1}{\sqrt{2\pi}}\cdot\dfrac{e^{isa}-e^{-isa}}{is}=\sqrt{\dfrac{2}{\pi}}\,\dfrac{\sin as}{s}.\)

Deduce (by inversion at \(x=0\)): \(\displaystyle\int_0^\infty\frac{\sin as}{s}ds=\frac{\pi}{2}\).

Example 2 — Sine and cosine transforms of \(e^{-ax}\)

\(\mathcal F_s\{e^{-ax}\}=\sqrt{\dfrac{2}{\pi}}\displaystyle\int_0^\infty e^{-ax}\sin sx\,dx=\sqrt{\dfrac{2}{\pi}}\cdot\dfrac{s}{a^2+s^2}\);

\(\mathcal F_c\{e^{-ax}\}=\sqrt{\dfrac{2}{\pi}}\cdot\dfrac{a}{a^2+s^2}\).

Example 3 — Parseval's identity in action

Using Example 1 with \(a=1\): \(|F(s)|^2=\dfrac{2}{\pi}\dfrac{\sin^2s}{s^2}\) and \(\int_{-\infty}^{\infty}|f(x)|^2dx=2\). Parseval gives

\(2=\dfrac{2}{\pi}\displaystyle\int_{-\infty}^{\infty}\frac{\sin^2s}{s^2}ds\Rightarrow\int_0^\infty\frac{\sin^2s}{s^2}ds=\frac{\pi}{2}.\)

Example 4 — Finite sine transform of a constant

\(\mathcal F_s\{1\}=\displaystyle\int_0^l\sin\frac{n\pi x}{l}dx=\dfrac{l}{n\pi}\big(1-(-1)^n\big)=\begin{cases}\dfrac{2l}{n\pi},&n\text{ odd}\\[4pt]0,&n\text{ even}\end{cases}\)

Example 5 — Finite sine transform of \(x\)

\(\mathcal F_s\{x\}=\displaystyle\int_0^l x\sin\frac{n\pi x}{l}dx=\dfrac{l^2}{n\pi}(-1)^{n+1},\quad n=1,2,3,\dots\)

Part A — 2-mark questions (Unit 5)
1. Define the infinite Fourier transform and its inverse.
2. State when the Fourier sine transform is preferred over the cosine transform.
3. Write the Fourier sine and cosine transforms of \(e^{-ax}\).
4. State Parseval's identity.
5. Write the inversion formula for the Fourier transform.
6. Give the relation \(\mathcal F\{f'(x)\}\) = ? in terms of \(F(s)\).
7. Define the finite Fourier cosine transform on \((0,l)\) and its inverse.
8. State the convolution theorem for Fourier transforms.
Part B — 16-mark questions (Unit 5)
  1. Find the Fourier transform of \(f(x)=\begin{cases}a^2-x^2,&|x|a\end{cases}\) and hence evaluate \(\displaystyle\int_0^\infty\frac{\sin s-s\cos s}{s^3}ds\).
  2. Find \(\mathcal F_s\{e^{-ax}\}\) and \(\mathcal F_c\{e^{-ax}\}\); using Parseval, evaluate \(\displaystyle\int_0^\infty\frac{dx}{(a^2+x^2)^2}\) with \(a>0\).
  3. Find the Fourier sine and cosine transforms of \(f(x)=\begin{cases}\sin x,&0\pi\end{cases}\).
  4. Apply the convolution theorem to find the Fourier inverse of \(F(s)G(s)\) and illustrate with \(F=G=\sqrt{2/\pi}\,\dfrac{\sin s}{s}\).
  5. Find the finite Fourier sine and cosine transforms of \(f(x)=x\) on \((0,\pi)\); use them to solve \(u_t=u_{xx}\) with \(u(0,t)=u(\pi,t)=0,\ u(x,0)=x\).
  6. Using Parseval's identity, evaluate \(\displaystyle\int_0^\infty\frac{dx}{(1+x^2)(4+x^2)}\) (convolution) and \(\displaystyle\int_0^\infty\frac{dx}{(a^2+x^2)^2}\).

KITExam Strategy & One-Page Revision Sheet

Paper pattern
PartStructureMarksTime budget (of 180 min)
Part A10 questions × 2 marks, no choice (≈2 per unit)20≈35 min
Part B2 questions from each unit, internal choice, 16 marks each → 5 to attempt80≈25–28 min each
How to convert COs into marks
  • CO1 (list properties, recall ODEs): Unit 1 C.F. table + Unit 3 property table = guaranteed Part A marks.
  • CO2 (directional derivative, irrotational/solenoidal): Unit 2 — practise \(\nabla\phi\), \(\nabla\times\mathbf F\), potential-finding.
  • CO3 (explain & solve LT/FT): Unit 3 + Unit 5 — always write the definition and the convention first.
  • CO4 (inverse LT/FT problems): partial fractions, shifting, convolution, Parseval.
  • CO5 (Green/Stokes/Gauss): Unit 2 verification problems with cube/parallelepiped — write "LHS = …, RHS = …, hence verified".
  • CO6 (integral & differential equations by LT): Unit 4 — one full-length problem almost always appears.
Unit-wise "must not forget" checklist
  1. Unit 1: six P.I. rules (especially the resonance form \(-\frac{x\cos ax}{2a g(-a^2)}\)), \(W\) in variation of parameters, \(\theta=xD\) substitution.
  2. Unit 2: all three theorem statements verbatim, unit normal, and the six faces of a box.
  3. Unit 3: standard table, \(L\{tf\}=-F'\), \(L\{f/t\}=\int_s^\infty F\), \(L\{f'\}=sF-f(0)\), periodic formula, \(L\{\delta(t-a)\}=e^{-as}\).
  4. Unit 4: transform → solve algebraically → invert; convolution for integral equations; add/subtract for systems.
  5. Unit 5: state your kernel convention, sine vs cosine choice, Parseval, and the two finite-transform derivative formulas.
Reference books (as prescribed)
  1. Erwin Kreyszig, Advanced Engineering Mathematics, 10th ed., John Wiley & Sons, 2012.
  2. B. S. Grewal, Higher Engineering Mathematics, 41st ed., Khanna Publications, 2011.
  3. N. P. Bali & Manish Goyal, A Textbook of Engineering Mathematics, 8th ed., Laxmi Publications, 2011.
  4. T. Veerarajan, Engineering Mathematics for First Year, 2nd ed., Tata McGraw Hill, 2008.
  5. W. E. Boyce & R. C. DiPrima, Elementary Differential Equations and Boundary Value Problems, 9th ed., Wiley India, 2009.
  6. M. K. Venkataraman, Engineering Mathematics — First Year, 2nd ed., National Publishing Co., 2000.
  7. S. L. Ross, Differential Equations, 3rd ed., Wiley India, 2009.

Prepared as a study aid for the syllabus above. All formulas are standard; work every worked example once by hand — the marks in this course come from correct operator algebra and clean partial fractions, not from memorising statements.