Unit I Electromagnetic Theory | PHY 110 Engineering Physics |B.tech

 


1. Scalar and Vector Fields

Scalar Field:

  • A scalar field assigns a single value (scalar) to every point in space.
  • Example: Temperature in a room can be represented as a scalar field T(x,y,z)T(x, y, z), where TT gives the temperature at coordinates (x,y,z)(x, y, z).

Vector Field:

  • A vector field assigns a vector to every point in space, representing both magnitude and direction.
  • Example: The wind velocity can be expressed as a vector field V(x,y,z)=(Vx,Vy,Vz)\mathbf{V}(x, y, z) = (V_x, V_y, V_z), where each component represents the velocity in the respective direction.

2. Gradient, Divergence, and Curl

Gradient (f\nabla f)

  • The gradient of a scalar function f(x,y,z)f(x, y, z) is a vector field that points in the direction of the greatest increase of ff. The magnitude of the gradient indicates how steep the increase is.
  • Mathematical Definition: f=(fx,fy,fz)\nabla f = \left( \frac{\partial f}{\partial x}, \frac{\partial f}{\partial y}, \frac{\partial f}{\partial z} \right)
  • Example: Let f(x,y,z)=x2+y2+z2f(x, y, z) = x^2 + y^2 + z^2.
    • Calculate the gradient:
    f=(2x,2y,2z)\nabla f = \left( 2x, 2y, 2z \right)
    • At the point (1,2,3)(1, 2, 3):
    f(1,2,3)=(2,4,6)\nabla f(1, 2, 3) = (2, 4, 6)
    • This means the function increases fastest in the direction of the vector (2,4,6)(2, 4, 6).

Divergence (A\nabla \cdot \mathbf{A})

  • The divergence of a vector field A=(Ax,Ay,Az)\mathbf{A} = (A_x, A_y, A_z) measures the net rate of flux expansion from a point. It indicates whether the field is expanding (positive divergence) or contracting (negative divergence).
  • Mathematical Definition: A=Axx+Ayy+Azz\nabla \cdot \mathbf{A} = \frac{\partial A_x}{\partial x} + \frac{\partial A_y}{\partial y} + \frac{\partial A_z}{\partial z}
  • Example: For A=(x,y,z)\mathbf{A} = (x, y, z):
    • Calculate the divergence:
    A=1+1+1=3\nabla \cdot \mathbf{A} = 1 + 1 + 1 = 3
    • This implies a net outflow of field lines at that point.

Curl (×A\nabla \times \mathbf{A})

  • The curl of a vector field measures the tendency of the field to induce rotation around a point.
  • Mathematical Definition: ×A=(AzyAyz,AxzAzx,AyxAxy)\nabla \times \mathbf{A} = \left( \frac{\partial A_z}{\partial y} - \frac{\partial A_y}{\partial z}, \frac{\partial A_x}{\partial z} - \frac{\partial A_z}{\partial x}, \frac{\partial A_y}{\partial x} - \frac{\partial A_x}{\partial y} \right)
  • Example: For A=(0,0,z)\mathbf{A} = (0, 0, z):
    • Calculate the curl:
    ×A=(00,00,00)=(0,0,0)\nabla \times \mathbf{A} = \left( 0 - 0, 0 - 0, 0 - 0 \right) = (0, 0, 0)
    • This indicates no rotational tendency in the field.

3. Gauss's Theorem (Divergence Theorem)

Statement: Gauss's Theorem relates the flux of a vector field through a closed surface to the divergence of the field inside the volume bounded by the surface.

  • Mathematical Form:

    SAdS=V(A)dV\iint_S \mathbf{A} \cdot d\mathbf{S} = \iiint_V (\nabla \cdot \mathbf{A}) \, dV
  • Physical Interpretation: The total "outflow" of the vector field through the surface SS equals the total source strength (divergence) inside the volume VV.

  • Example: For A=rr3\mathbf{A} = \frac{\mathbf{r}}{r^3} (where r\mathbf{r} is the position vector):

    • Calculate the left side (flux through a sphere of radius RR):
    SAdS=02π0π1R2R2sinθdθdϕ=4π\iint_S \mathbf{A} \cdot d\mathbf{S} = \int_0^{2\pi} \int_0^{\pi} \frac{1}{R^2} R^2 \sin \theta \, d\theta \, d\phi = 4\pi
    • The right side involves finding A\nabla \cdot \mathbf{A} (which is zero for r0r \neq 0), thus validating the theorem.

4. Stokes's Theorem

Statement: Stokes's Theorem relates the line integral of a vector field around a closed curve to the surface integral of the curl of the field over the surface bounded by the curve.

  • Mathematical Form:

    CAdr=S(×A)dS\oint_C \mathbf{A} \cdot d\mathbf{r} = \iint_S (\nabla \times \mathbf{A}) \cdot d\mathbf{S}
  • Physical Interpretation: The circulation of the vector field around the curve CC is equal to the total curl (or rotation) over the surface SS.

  • Example: For A=(0,0,z)\mathbf{A} = (0, 0, z), find the line integral around a circular path in the xy-plane:

    • The left side calculates the line integral, and the right side finds the curl:
    ×A=(0,0,0)The integral is 0.\nabla \times \mathbf{A} = (0, 0, 0) \Rightarrow \text{The integral is } 0.

5. Poisson and Laplace Equations

Poisson's Equation

  • Statement: Describes the relationship between a scalar potential and its source:
2ϕ=ρϵ0\nabla^2 \phi = -\frac{\rho}{\epsilon_0}
  • Physical Interpretation: The Laplacian of the potential ϕ\phi is proportional to the charge density ρ\rho.

  • Example: For a point charge qq at the origin:

    • Using spherical coordinates, ρ=qδ(r)\rho = q \delta(\mathbf{r}):
    2ϕ=qϵ0δ(r)ϕ(r)=q4πϵ0r(r0)\nabla^2 \phi = -\frac{q}{\epsilon_0} \delta(\mathbf{r}) \Rightarrow \phi(r) = \frac{q}{4\pi\epsilon_0 r} \quad (r \neq 0)

Laplace's Equation

  • Statement: A special case of Poisson's equation when there are no sources:
2ϕ=0\nabla^2 \phi = 0
  • Physical Interpretation: The potential ϕ\phi is harmonic, indicating no charge density in the region.

  • Example: In spherical coordinates, the solution outside a charged sphere:

ϕ(r)=Cr(r>R)\phi(r) = \frac{C}{r} \quad (r > R)

6. Continuity Equation

Statement: Represents the conservation of charge:

ρt+J=0\frac{\partial \rho}{\partial t} + \nabla \cdot \mathbf{J} = 0
  • Physical Interpretation: The rate of change of charge density ρ\rho in a volume plus the divergence of current density J\mathbf{J} must sum to zero.

  • Example: If ρ=ρ0eλt\rho = \rho_0 e^{-\lambda t}:

    • The continuity equation implies:
ρt=λρ0eλtJ=λρ\frac{\partial \rho}{\partial t} = -\lambda \rho_0 e^{-\lambda t} \Rightarrow \nabla \cdot \mathbf{J} = -\lambda \rho
  • This shows how charge flows out of the volume.

7. Maxwell's Equations

Maxwell's equations unify electricity and magnetism and can be expressed in both differential and integral forms.

  1. Gauss's Law:

    • Differential Form:
    E=ρϵ0\nabla \cdot \mathbf{E} = \frac{\rho}{\epsilon_0}
    • Integral Form:
    SEdS=Qencϵ0\iint_S \mathbf{E} \cdot d\mathbf{S} = \frac{Q_{\text{enc}}}{\epsilon_0}
    • Example: For a uniform charge distribution QQ over a sphere of radius RR:
    SEdS=E(4πR2)=Qϵ0E=Q4πϵ0R2\iint_S \mathbf{E} \cdot d\mathbf{S} = E(4\pi R^2) = \frac{Q}{\epsilon_0} \Rightarrow E = \frac{Q}{4\pi\epsilon_0 R^2}
  2. Gauss's Law for Magnetism:

    • Differential Form:
    B=0\nabla \cdot \mathbf{B} = 0
    • Integral Form:
    SBdS=0\iint_S \mathbf{B} \cdot d\mathbf{S} = 0
    • Interpretation: This indicates that there are no magnetic monopoles; magnetic field lines are closed loops.
  3. Faraday's Law of Induction:

    • Differential Form:
    ×E=Bt\nabla \times \mathbf{E} = -\frac{\partial \mathbf{B}}{\partial t}
    • Integral Form:
    CEdr=dΦBdt\oint_C \mathbf{E} \cdot d\mathbf{r} = -\frac{d\Phi_B}{dt}
    • Example: If a magnetic field through a loop changes with time, it induces an electric field around the loop, demonstrating how a changing magnetic field produces electric currents.
  4. Ampère's Law (with Maxwell's correction):

    • Differential Form:
    ×B=μ0J+μ0ϵ0Et\nabla \times \mathbf{B} = \mu_0 \mathbf{J} + \mu_0 \epsilon_0 \frac{\partial \mathbf{E}}{\partial t}
    • Integral Form:
    CBdr=μ0Ienc+μ0ϵ0dΦEdt\oint_C \mathbf{B} \cdot d\mathbf{r} = \mu_0 I_{\text{enc}} + \mu_0 \epsilon_0 \frac{d\Phi_E}{dt}
    • Example: For a long straight current-carrying wire, the magnetic field BB at a distance rr is given by:
    B=μ0I2πrB = \frac{\mu_0 I}{2\pi r}

8. Physical Significance of Maxwell's Equations

  • Unification of Electricity and Magnetism: Maxwell's equations show that electric fields and magnetic fields are interconnected. Changing one can produce the other.
  • Prediction of Electromagnetic Waves: These equations predict that oscillating electric and magnetic fields can propagate through space as electromagnetic waves (e.g., light).
  • Foundation for Modern Physics: They serve as the foundation for many areas in physics and engineering, including telecommunications, optics, and electromagnetic theory.

Examples:

1. Gradient (f\nabla f)

Equation:

f=(fx,fy,fz)\nabla f = \left( \frac{\partial f}{\partial x}, \frac{\partial f}{\partial y}, \frac{\partial f}{\partial z} \right)

Example: Let f(x,y,z)=x2+y2+z2f(x, y, z) = x^2 + y^2 + z^2.

Calculation:

f=(2x,2y,2z)\nabla f = \left( 2x, 2y, 2z \right)

Explanation: The gradient vector f\nabla f gives the direction and rate of steepest ascent of the scalar function ff. At the point (1, 2, 3):

f(1,2,3)=(2,4,6)\nabla f(1, 2, 3) = (2, 4, 6)

This means that if you move in the direction of the vector (2,4,6)(2, 4, 6), you will experience the greatest increase in the function ff.


2. Divergence (A\nabla \cdot \mathbf{A})

Equation:

A=Axx+Ayy+Azz\nabla \cdot \mathbf{A} = \frac{\partial A_x}{\partial x} + \frac{\partial A_y}{\partial y} + \frac{\partial A_z}{\partial z}

Example: Let A=(x2,y2,z2)\mathbf{A} = (x^2, y^2, z^2).

Calculation:

A=(x2)x+(y2)y+(z2)z=2x+2y+2z\nabla \cdot \mathbf{A} = \frac{\partial (x^2)}{\partial x} + \frac{\partial (y^2)}{\partial y} + \frac{\partial (z^2)}{\partial z} = 2x + 2y + 2z

Explanation: The divergence A\nabla \cdot \mathbf{A} tells us how much the vector field is "spreading out" from a point. If (x,y,z)=(1,1,1)(x, y, z) = (1, 1, 1):

A=2(1)+2(1)+2(1)=6\nabla \cdot \mathbf{A} = 2(1) + 2(1) + 2(1) = 6

This indicates that at this point, the field is expanding.


3. Curl (×A\nabla \times \mathbf{A})

Equation:

×A=(AzyAyz,AxzAzx,AyxAxy)\nabla \times \mathbf{A} = \left( \frac{\partial A_z}{\partial y} - \frac{\partial A_y}{\partial z}, \frac{\partial A_x}{\partial z} - \frac{\partial A_z}{\partial x}, \frac{\partial A_y}{\partial x} - \frac{\partial A_x}{\partial y} \right)

Example: Let A=(0,0,z)\mathbf{A} = (0, 0, z).

Calculation:

×A=(00,00,00)=(0,0,0)\nabla \times \mathbf{A} = \left( 0 - 0, 0 - 0, 0 - 0 \right) = (0, 0, 0)

Explanation: The curl of A\mathbf{A} is zero, indicating there is no rotational tendency at any point in this field. The field is irrotational, which means it does not induce rotation.


4. Gauss's Law

Equation:

E=ρϵ0\nabla \cdot \mathbf{E} = \frac{\rho}{\epsilon_0}

Example: Consider a point charge QQ located at the origin.

Calculation: For a spherical surface of radius RR centered at the charge:

E=Q4πϵ0R2E = \frac{Q}{4\pi \epsilon_0 R^2}

The total electric flux through the sphere is:

ΦE=EA=Q4πϵ0R24πR2=Qϵ0\Phi_E = E \cdot A = \frac{Q}{4\pi \epsilon_0 R^2} \cdot 4\pi R^2 = \frac{Q}{\epsilon_0}

Explanation: Gauss's Law states that the electric flux through a closed surface is proportional to the enclosed charge. In this case, we see that all the electric field lines from the charge pass through the surface, confirming the relationship.


5. Gauss's Law for Magnetism

Equation:

B=0\nabla \cdot \mathbf{B} = 0

Example: Consider a magnetic field around a straight current-carrying wire.

Calculation: If you use a cylindrical surface around the wire, the magnetic field BB is tangential and has no divergence:

B=0\nabla \cdot \mathbf{B} = 0

Explanation: This equation implies that there are no magnetic monopoles; magnetic field lines form closed loops. The absence of divergence means that all magnetic field lines that enter a volume must also exit it.


6. Faraday's Law of Induction

Equation:

×E=Bt\nabla \times \mathbf{E} = -\frac{\partial \mathbf{B}}{\partial t}

Example: Consider a changing magnetic field through a loop.

Calculation: If the magnetic field B(t)=B0sin(ωt)B(t) = B_0 \sin(\omega t) is changing, then:

Bt=B0ωcos(ωt)\frac{\partial \mathbf{B}}{\partial t} = B_0 \omega \cos(\omega t)

The induced electric field around the loop is given by:

CEdr=dΦBdt=πR2dBdt\oint_C \mathbf{E} \cdot d\mathbf{r} = -\frac{d\Phi_B}{dt} = -\pi R^2 \frac{dB}{dt}

Explanation: This law states that a changing magnetic field induces an electric field. The negative sign indicates that the induced electric field opposes the change in magnetic flux (Lenz's Law).


7. Ampère's Law (with Maxwell's correction)

Equation:

×B=μ0J+μ0ϵ0Et\nabla \times \mathbf{B} = \mu_0 \mathbf{J} + \mu_0 \epsilon_0 \frac{\partial \mathbf{E}}{\partial t}

Example: For a long straight wire carrying a current II.

Calculation: The magnetic field at a distance rr from the wire:

B=μ0I2πrB = \frac{\mu_0 I}{2\pi r}

The curl of B\mathbf{B} yields:

×B=μ0I2πr\nabla \times \mathbf{B} = \frac{\mu_0 I}{2\pi r}

Explanation: Ampère's Law states that the curl of the magnetic field is related to the current density J\mathbf{J} plus a term that accounts for changing electric fields. This reflects the unification of electric currents and changing electric fields in generating magnetic fields.


8. Poisson's Equation

Equation:

2ϕ=ρϵ0\nabla^2 \phi = -\frac{\rho}{\epsilon_0}

Example: For a point charge QQ at the origin.

Calculation: In spherical coordinates, outside the charge:

2ϕ=0(r>0)\nabla^2 \phi = 0 \quad (r > 0)

Inside:

2ϕ=Qϵ0δ(r)\nabla^2 \phi = -\frac{Q}{\epsilon_0} \delta(r)

Explanation: Poisson's Equation relates the Laplacian of the electric potential ϕ\phi to the charge density ρ\rho. Outside the charge, the potential behaves like ϕ(r)=Q4πϵ0r\phi(r) = \frac{Q}{4\pi \epsilon_0 r}, indicating how the potential decreases with distance from the charge.


9. Laplace's Equation

Equation:

2ϕ=0\nabla^2 \phi = 0

Example: In a region without charges (like outside a charged sphere).

Calculation: For a spherically symmetric potential:

ϕ(r)=Cr\phi(r) = \frac{C}{r}

where CC is a constant determined by boundary conditions.

Explanation: Laplace's Equation describes potential in regions without charge. The solution shows that potential behaves inversely with distance, indicative of how the potential fields spread out in space.

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