Let me be very clear: math is all about practice, and there are no shortcuts. So, please refer to B. S. Grewal's book for theory and practice questions. Here, I can only provide video links to help you understand the topic.🙂

Introduction

A differential equation that contains one or more partial derivatives is called a partial differential equation (PDE). It occurs when there are at least two independent variables.

For example, if we have a function z=f(x,y)z = f(x, y):

Let z=x2yz = x^2y

Then, we can find the partial derivatives:

zx=2xy\frac{\partial z}{\partial x} = 2xy

zy=x2\frac{\partial z}{\partial y} = x^2

The order of a PDE is defined as the order of the highest partial derivative present in the equation, while the degree of a PDE refers to the power of the highest order partial derivative in the equation.

Homogeneous and Non-Homogencous Linear PDE with Constant Coefficients

It is not a single video but a playlist, and it contains twelve videos. When one video finishes, the next will play automatically.

A homogeneous linear PDE is an equation of the form:

nzxn+K1nzxn1y++Knnzyn=F(x,y)\frac{\partial^n z}{\partial x^n} + K_1 \frac{\partial^{n} z}{\partial x^{n-1} \partial y} + \ldots + K_n \frac{\partial^n z}{\partial y^n} = F(x,y)

This is called a homogeneous linear PDE of nnth order with constant coefficients.

Note: All the terms contain derivatives of order nn.

Its symbolic form is given by:

(Dn+K1Dn1D++KnDn)z=F(x,y)(D^n + K_1 D^{n-1} D^{\prime} + \ldots + K_n D^{\prime n}) z = F(x,y)

=>f(D,D)z=F(x,y)(i)=> f(D,D^{\prime}) z = F(x,y) \quad \quad \text{(i)}

Where:

  • D=xD = \frac{\partial}{\partial x}
  • D=yD' = \frac{\partial}{\partial y}

If in the equationiequation - i the polynomial expression F(D,D)F(D,D^{\prime}) is not homogeneous then equationiequation - i is called non-homogeneous linear partial differential equation.

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