Differential Equations and Vector Calculus – Key Vocabulary

Page 1

  • Overview of the syllabus (5 units)
    • Unit-1 – Ordinary Differential Equations (ODE): higher-order linear equations, Bernoulli, Exact, operators DD, complementary function (C.F), particular integral (P.I), variation of parameters.
    • Unit-2 – Equations reducible to linear form, Cauchy & Legendre equations, simultaneous linear ODEs with constant coefficients.
    • Unit-3 – First–order Partial Differential Equations (PDE): homogeneous & non-homogeneous forms, higher-order PDEs.
    • Unit-4 – Multivariable calculus I: vector differentiation (gradient, divergence, curl, vector identities).
    • Unit-5 – Multivariable calculus II: vector integration (line, surface & volume integrals), Green, Stokes & Divergence theorems.

Page 2

  • Definition of a differential equation.
    • Ordinary vs. Partial DE.
  • Examples that distinguish ODE (y=y(x)y = y(x)) from PDE (u=u(x,y)u = u(x,y)).

Page 3

  • Order = highest derivative present; degree = power of that derivative once the equation is polynomial in derivatives.
  • Worked examples:
    • d2ydx2+7x=0\frac{d^2y}{dx^2}+7x=0 → order 2, degree 1.
    • y=xdydx+(dydx)2y=x\frac{dy}{dx}+\left(\frac{dy}{dx}\right)^2 → order 1, degree 2.

Page 4

  • Formation of a DE by eliminating constants from y=cos(nx+β)y = \cos(n x + \beta), y=Ax+A2y = Ax + A^2, y=Aex+Bexy = Ae^{x}+Be^{-x}.
  • Resulting second-order DEs shown.

Page 5 – Page 6

  • More elimination practice producing third-order equations from y=Ax3+Bx2y=Ax^3+Bx^2 and y=ex(Acosx+Bsinx)y=e^x(A\cos x+B\sin x).

Page 7

  • Differential equation of the family of circles (xh)2+(yk)2=a2(x-h)^2+(y-k)^2=a^2 derived: (yk)y=(1+y2).(y-k)y''=(1+y'^2).

Page 8

  • Variable-separable concept: rearrange to f(x)dx=g(y)dyf(x)dx = g(y)dy then integrate.
  • Example manipulation leading to logy=logx+C.\log\lvert y\rvert = \log\lvert x\rvert +C.

Page 9

  • Homogeneous first-order ODE (dy/dx=F(y/x)dy/dx = F(y/x)) solved by substitution y=vxy=vx.
  • Trig example giving tan1ytan1v=C.\tan^{-1}y - \tan^{-1}v = C.

Page 10

  • Definitions: general solution (contains as many arbitrary constants as its order), particular solution (constants assigned specific values).
  • Four standard first-order methods: separable, linear, Bernoulli, exact.

Page 11

  • Recap of separable type with worked exponential example producing 3e2y=2e3x+2x+C.3e^{2y}=2e^{3x}+2x+C.

Page 12

  • Trigonometric separable example: secxtanxdx+secytanydy=0\sec x\tan x\,dx+\sec y\tan y\,dy=0 leads to tanxtany=C.\tan x\tan y=C.

Page 13

  • Partial-fraction decomposition inside separable integrals.
  • Logarithmic solution logy+y=x+logx+C.\log y + y = x + \log x +C.

Page 14–15

  • Additional separable integrals including square-root and exponential substitutions.

Page 15 (Linear first-order)

  • Standard form dydx+P(x)y=Q(x)\frac{dy}{dx}+P(x)y=Q(x).
  • Integrating factor IF=ePdxIF=e^{\int P\,dx}.
  • General solution: y(IF)=Q(IF)dx+Cy(IF)=\int Q(IF)dx + C.

Page 16–18

  • Three linear examples solved:
    1. (x+1)dy/dx+4e3x=y(x+1)dy/dx +4e^{3x}=y → solution y(x)=e3x+3x+C(x+1)1.y(x)=e^{3x}+3x+C(x+1)^{-1}.
    2. cosxdy+tanxy=sinx\cos x\,dy+\tan x\,y=\sin x gives y(tanx1)=C.y(\tan x-1)=C.
    3. αlogxdy+y=logx\alpha\log x\,dy+y = \log x processed via substitution t=logxt=\log x.

Page 19–24 (Bernoulli)

  • Bernoulli form dy/dx+Py=Qyndy/dx+Py=Qy^n. Divide by yny^n, set z=y1nz=y^{1-n} to obtain linear DE in zz.
  • A full transformation example yields final explicit y(x)y(x).

Page 25–29 (Exact & Integrating Factor)

  • Exact test M/y=N/x\partial M/\partial y = \partial N/\partial x for Mdx+Ndy=0Mdx+Ndy=0.
  • If not exact, find integrating factor by inspection or formula μ(x)=e(N<em>xM</em>y)/Mdx\mu(x) = e^{\int (N<em>x-M</em>y)/M\,dx}.
  • Solved examples:
    • (x2ay)dx+(y2ax)dy=0(x^2-ay)dx+(y^2-ax)dy=0.
    • y(x2+y2a2)dx+x(x2y2b2)dy=0y(x^2+y^2-a^2)dx + x(x^2-y^2-b^2)dy=0.

Page 30–32 (IF, non-exact cases)

  • Homogeneous type integrating factor IF=1/(Mx+Ny)IF=1/(Mx+Ny).
  • Problems worked with multipliers and partial fractions.

Page 33–37 (Higher-order Linear ODE)

  • Operator notation D=d/dxD=d/dx.
  • Auxiliary (characteristic) equation f(m)=0f(m)=0 derived from constant-coefficient linear ODE.
  • Four root cases:
    1. Distinct real m<em>1,m</em>2,m<em>1,m</em>2,\dots: CF=C<em>kem</em>kxCF=\sum C<em>ke^{m</em>kx}.
    2. Repeated: multiply by powers of xx.
    3. Complex pair α±iβ\alpha\pm i\beta: eαx(C<em>1cosβx+C</em>2sinβx)e^{\alpha x}(C<em>1\cos\beta x+C</em>2\sin\beta x).
    4. Repeated complex.
  • Sample solutions for (D2+D2)y=0(D^2+D-2)y=0 and (D2+6D+9)y=0(D^2+6D+9)y=0.

Page 38–56 (Particular Integral rules)

  • Inverse operator method: PI=1f(D)XPI=\frac{1}{f(D)}X.
  • Special input functions:
    • Exponential eaxe^{ax} ⇒ replace DD with aa.
    • sinax,cosax\sin ax,\cos ax ⇒ replace D2D^2 with a2-a^2.
    • Polynomials xmx^m ⇒ expand 1/f(D)1/f(D) in ascending DD.
    • Products eaxV(x)e^{ax}V(x) ⇒ use shift DD+aD→D+a.
  • Extensive worked examples up to third order, partial fractions, repeated roots.

Page 57–60 (ODE examples with trig/exponential forcing)

  • Application of all PI rules giving complete solutions combining CF+PI.

Page 61–66 (Variation of Parameters)

  • For y+P(x)y+Q(x)y=R(x)y''+P(x)y'+Q(x)y=R(x) with two known independent y<em>1,y</em>2y<em>1,y</em>2:
    u<em>1=y</em>2RW,u<em>2=y</em>1RW,W=y<em>1y</em>2y<em>1y</em>2.u<em>1'=-\frac{y</em>2R}{W},\qquad u<em>2'=\frac{y</em>1R}{W},\qquad W=y<em>1y</em>2'-y<em>1'y</em>2.
  • Examples include y4y+4y=8x2e2xsinaxy''-4y'+4y=8x^2e^{2x}\sin ax where y<em>1=e2x,y</em>2=xe2x.y<em>1=e^{2x}, y</em>2=xe^{2x}.

Page 67–70 (Cauchy & Legendre Equations)

  • Cauchy form xny(n)+=F(x)x^n y^{(n)}+\dots=F(x); use substitution x=etx=e^t so that D<em>t=xD</em>xD<em>t = xD</em>x.
  • Example: x2y4xy+6y=x2x^2y''-4xy'+6y = x^2 mapped to constant-coefficient D(D1)4D+6D(D-1)-4D+6.

Page 71–78 (First-order PDE)

  • Standard notations p=z/x,  q=z/yp=\partial z/\partial x,\;q=\partial z/\partial y.
  • Formation by eliminating constants; family of circles example reproduced.
  • Four standard forms:
    1. f(p,q)=0f(p,q)=0 ⇒ complete integral z=ax+by+cz=ax+by+c constrained by f(a,b)=0f(a,b)=0.
    2. f(x,p)=g(y,q)f(x,p)=g(y,q) ⇒ integrate separately: dz=P(x)dx+Q(y)dydz = P(x)dx + Q(y)dy.
    3. Clairaut z=px+qy+f(p,q)z=px+qy+f(p,q) ⇒ replace p,qp, q with a,ba,b then envelope gives singular solution.
    4. General Lagrange Pp+Qq=RPp+Qq=R. Subsidiary (auxiliary) equations: dxP=dyQ=dzR\frac{dx}{P}=\frac{dy}{Q}=\frac{dz}{R} solved by grouping or multipliers.
  • Charpit method introduced for non-linear first-order PDEs.

Page 79–84 (Vector Differentiation)

  • Scalar field ϕ(x,y,z)\phi(x,y,z) ⇒ gradient ϕ\nabla\phi (vector).
  • Vector field F=F<em>1i+F</em>2j+F3k\mathbf F=F<em>1\mathbf i+F</em>2\mathbf j+F_3\mathbf k.
    • Divergence F=F<em>1/x+F</em>2/y+F3/z\nabla\cdot\mathbf F = \partial F<em>1/\partial x + \partial F</em>2/\partial y + \partial F_3/\partial z (scalar).
    • Curl ×F\nabla\times\mathbf F (vector, determinant mnemonic).
  • Solenoidal: F=0\nabla\cdot\mathbf F=0. Irrotational: ×F=0\nabla\times\mathbf F=0.
  • Directional derivative in direction a^\hat a: Da^ϕ=ϕa^D_{\hat a}\phi = \nabla\phi\cdot\hat a.
  • Unit normal to surface ϕ=0\phi=0 is ϕϕ\frac{\nabla\phi}{|\nabla\phi|}.
  • Worked gradient, divergence, curl and directional-derivative examples.

Page 85–88 (Vector Integration)

  • Differential displacement dr=dxi+dyj+dzkd\mathbf r = dx\mathbf i+dy\mathbf j+dz\mathbf k.
  • Line integral CFdr\int_C \mathbf F\cdot d\mathbf r (work, circulation).
  • Surface integral <em>SFn^dS\iint<em>S \mathbf F\cdot\hat n\,dS with projections dS=1+(ϕ</em>x)2+(ϕy)2dxdydS=\sqrt{1+(\phi</em>x)^2+(\phi_y)^2}\,dxdy.
  • Volume integral VGdV\iiint_V G\,dV.

Page 89–95 (Green, Stokes, Divergence)

  • Green’s theorem (plane): <em>C(Mdx+Ndy)=</em>R(NxMy)dxdy\oint<em>C (M\,dx+N\,dy)=\iint</em>R\left(\frac{\partial N}{\partial x}-\frac{\partial M}{\partial y}\right)dxdy.
  • Stokes’ theorem: <em>CFdr=</em>S(×F)n^dS\oint<em>C \mathbf F\cdot d\mathbf r = \iint</em>S (\nabla\times\mathbf F)\cdot\hat n\,dS.
  • Divergence (Gauss) theorem: <em>SFn^dS=</em>V(F)dV\iint<em>S \mathbf F\cdot\hat n\,dS = \iiint</em>V (\nabla\cdot\mathbf F)\,dV.
  • Each theorem verified on rectangular regions, planes & parallelepipeds with explicit calculations.

Page 96 – End (Misc. Worked Problems)

  • Multiple integrals evaluated along parametric paths x=t2,y=t,z=3tx=t^2, y=t, z=3t.
  • Use of projections onto coordinate planes to compute surface integrals for plane 2x+3y+6z=122x+3y+6z=12 inside first octant.
  • Combined application of Gauss theorem across six faces of rectangular box to show VFdV=abc(a+b+c)\iiint_V \nabla\cdot\mathbf F\,dV = abc(a+b+c) for F=(xyz,yzx,zxy).F=(x-yz,\,y-zx,\,z-xy).

These page-wise notes capture every principal definition, algorithm, theorem, worked example, and formula mentioned in the transcript, formatted for rapid exam review.

To find the particular integral (PI) for a linear ordinary differential equation with constant coefficients, f(D)y=Xf(D)y = X, the method depends on the form of XX (the input function):

  • If X=eaxX = e^{ax} (Exponential function): You replace DD with aa in the inverse operator rac1f(D)rac{1}{f(D)}. That is, PI = rac{1}{f(a)}e^{ax}, provided that f(a)<br/>eq0f(a) <br /> eq 0. If f(a)=0f(a)=0, a special rule involving multiplication by xx and differentiation of f(D)f(D) is applied.
  • If X=extsin(ax)X = ext{sin}(ax) or extcos(ax)ext{cos}(ax) (Trigonometric function): You replace D2D^2 with a2-a^2 in the inverse operator rac1f(D)rac{1}{f(D)}. That is, PI = rac{1}{f(D^2)} ext{sin}(ax) = rac{1}{f(-a^2)} ext{sin}(ax), provided that f(a2)<br/>eq0f(-a^2) <br /> eq 0. Similar rules apply if the denominator becomes zero.
  • If X=xmX = x^m (Polynomial): You expand rac1f(D)rac{1}{f(D)} in ascending powers of DD using binomial expansion or long division, and then apply the operators to xmx^m.
  • If X=eaxV(x)X = e^{ax}V(x) (Product of exponential and another function): You use the shift rule: PI = e^{ax} rac{1}{f(D+a)}V(x). You then proceed to find the PI for rac1f(D+a)V(x)rac{1}{f(D+a)}V(x) based on the type of V(x)V(x).

To find the Complementary Function (C.F) of a higher-order linear ordinary differential equation with constant coefficients, you first derive the Auxiliary (characteristic) equation f(m)=0f(m)=0. The form of the C.F then depends on the roots of this auxiliary equation:

  1. Distinct real roots (m<em>1,m</em>2,extm<em>1, m</em>2, ext{…}): The C.F is the sum of exponential terms, i.e., CF=C<em>kem</em>kxCF=\sum C<em>ke^{m</em>kx}.
  2. Repeated real roots: If a root mm is repeated nn times, the C.F terms associated with it will include powers of xx, for example, (C<em>1+C</em>2x+ext+Cnxn1)emx(C<em>1+C</em>2x+ ext{…}+C_nx^{n-1})e^{mx}.
  3. Complex conjugate roots (α±iβ\alpha\pm i\beta): For each pair of complex roots, the C.F term is eαx(C<em>1cosβx+C</em>2sinβx)e^{\alpha x}(C<em>1\cos\beta x+C</em>2\sin\beta x).
  4. Repeated complex conjugate roots: If a complex pair α±iβ\alpha\pm i\beta is repeated, similar to repeated real roots, you multiply by powers of xx, for example, eαx((C<em>1+C</em>2x)cosβx+(C<em>3+C</em>4x)sinβx)e^{\alpha x}((C<em>1+C</em>2x)\cos\beta x+(C<em>3+C</em>4x)\sin\beta x) for a pair repeated twice.