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Partial Differential Equations

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Solving Partial Differential Equations

Today we’ll be discussing Partial Differential Equations. A topic like Differential Equations is full of surprises and fun but at the same time is considered quite difficult. So, to fully understand the concept let’s break it down to smaller pieces and discuss them in detail. Do you know what an equation is? An equation is a statement in which the values of the mathematical expressions are equal.

For eg. : 2x-3=10 is an equation. 

Well, equations are used in 3 fields of mathematics and they are:

(i) geometry

(ii) algebra

(iii) differential

1.Geometry

Equations are used in geometry to describe geometric shapes. Equations are considered to have infinite solutions. So in geometry, the purpose of equations is not to get solutions but to study the properties of the shapes. Analytic Geometry deals mostly in Cartesian equations and Parametric Equations. 

For eg. to explain a circle there is a general equation: (x – h)2 + (y – k)2 = r2

2.Algebra

In algebra, mostly two types of equations are studied from the family of equations. The most common one is polynomial equations and this also has a special case in it called linear equations. Polynomial equations are generally in the form P(x)=0 and linear equations are expressed ax+b=0 form where a and b represents the parameter. Algebra also uses Diophantine Equations where solutions and coefficients are integers.

3.Differential  

Differential equations are the equations which have one or more functions and their derivatives. These are used for processing model that includes the rates of change of the variable and are used in subjects like physics, chemistry, economics, and biology. There are two types of differential equations: 

A) Ordinary Differential Equations

B) Partial Differential Equations

A) Ordinary Differential Equations

Ordinary Differential Equations or ODE are equations which have a function of an independent variable and their derivatives. A variable is used to represent the unknown function which depends on x. In the equation, X is the independent variable. There are many other ways to express ODE.

B) Partial Differential Equations

The definition of Partial Differential Equations (PDE) is a differential equation that has many unknown functions along with their partial derivatives. It is used to represent many types of phenomenons like sound, heat, diffusion, electrostatics, electrodynamics, fluid dynamics, elasticity, gravitation, and quantum mechanics.


There are Different Types of Partial Differential Equations: 

    (i)   Equations of First Order/ Linear Partial Differential Equations

    (ii)  Linear Equations of Second Order Partial Differential Equations

    (iii) Equations of Mixed Type

Furthermore, the classification of Partial Differential Equations of Second Order can be done into parabolic, hyperbolic, and elliptic equations.

  • uxx [+] uyy = 0 (2-D Laplace equation)

  • uxx [=] ut (1-D heat equation)

  • uxx [−] uyy = 0 (1-D wave equation)

The following is the Partial Differential Equations formula:


Solving Partial Differential Equations

We will do this by taking a Partial Differential Equations example.

Example 1.

(y + u) ∂u ∂x + y ∂u∂y = x − y in y > 0, −∞ < x < ∞,

   with u =(1 + x) on y = 1. 


Solving Partial Differential Equation

We first look for the general solution of the PDE before applying the initial conditions. Combining the characteristic and compatibility equations, 

dxds = y + u,                                                                                     (2.11)

dyds = y,                                                                                            (2.12)

duds = x − y                                                                                       (2.13)

we seek two independent first integrals. 

Equations (2.11) and (2.13) give 

d(x + u)ds= x + u,

and equation (2.12)

1y dyds = 1.

Now, consider dds   (x + uy)  = 1y dds(x + u) − x + uy2 dyds , = x + uy − x + uy = 0. 

So,(x + u)y = c1 is constant. 

This defines a family of solutions of the PDE; so, we can choose φ(x, y, u) = x + uy 

Example 2.  A partial differential equation requires

       a)exactly one independent variable

       b) two or more independent variables

       c) more than one dependent variable

       d) an equal number of dependent and independent variables

Solution: 

The correct answer is (B).

If a differential equation has only one independent variable then it is called an ordinary differential equation. A partial differential equation has two or more unconstrained variables.


Fun Facts About Differential Equations:

  1. A Differential Equation can have an infinite number of solutions as a function also has an infinite number of antiderivatives. The reason for both is the same. 

  2. Sometimes we can get a formula for solutions of Differential Equations.

  3. Since we can find a formula of Differential Equations, it allows us to do many things with the solutions like devise graphs of solutions and calculate the exact value of a solution at any point.

  4. For multiple essential Differential Equations, it is impossible to get a formula for a solution, for some functions, they do not have a formula for an anti-derivative. 

  5. Even though we don’t have a formula for a solution, we can still Get an approx graph of solutions or Calculate approximate values of solutions at various points. 

  6. The general solution of an inhomogeneous ODE has the general form:    u(t) = uh(t) + up(t)

  7. A linear ODE of order n has precisely n linearly independent solutions. There are many ways to choose these n solutions, but we are certain that there cannot be more than n of them. 

  8. The ‘=’ sign was invented by Robert Recorde in the year 1557.He thought to show for things that are equal, the best way is by drawing 2 parallel straight lines of equal lengths. 

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FAQs on Partial Differential Equations

1. What is a Partial Differential Equation (PDE)?

A Partial Differential Equation (PDE) is a mathematical equation that involves an unknown function of two or more independent variables and its partial derivatives. Unlike Ordinary Differential Equations (ODEs) which deal with functions of a single variable, PDEs are essential for modelling multidimensional systems where a quantity changes with respect to multiple factors, such as time and spatial coordinates. The equation establishes a relationship between the function and its partial derivatives.

2. What is the key difference between an Ordinary Differential Equation (ODE) and a Partial Differential Equation (PDE)?

The fundamental difference lies in the number of independent variables. An Ordinary Differential Equation (ODE) involves a function and its derivatives with respect to a single independent variable (e.g., dy/dx = 5y). In contrast, a Partial Differential Equation (PDE) involves a function and its partial derivatives with respect to two or more independent variables (e.g., ∂u/∂t = c² ∂²u/∂x²). This makes PDEs suitable for describing phenomena in higher dimensions, a common requirement in physics and engineering. For a deeper dive, explore the types of differential equations.

3. What are some common examples of Partial Differential Equations used in physics?

Many fundamental laws of nature are expressed as PDEs. Key examples include:

  • The Heat Equation: Describes how temperature is distributed or diffuses in a region over time.
  • The Wave Equation: Models the behaviour of waves, such as sound waves, light waves, or vibrations in a guitar string.
  • The Laplace Equation: Describes steady-state potentials, such as in electrostatics, gravitation, and fluid flow.
  • The Schrödinger Equation: A cornerstone of quantum mechanics, it describes how the quantum state of a physical system changes over time.

4. How do you determine the order and degree of a PDE?

The method is analogous to that used for ODEs:

  • The order of a PDE is defined by the highest order of any partial derivative present in the equation. For instance, the equation ∂u/∂t = ∂²u/∂x² is a second-order PDE because the highest derivative order is two.
  • The degree of a PDE refers to the power of the highest-order derivative, but only after the equation has been simplified to be a polynomial in its derivatives. For example, (∂²u/∂x²)³ + ∂u/∂y = 0 is a second-order PDE of degree three.

5. What are the main applications of Partial Differential Equations?

PDEs are fundamental tools for modelling complex systems across various fields. Their applications include:

  • Physics: Describing fluid dynamics (Navier-Stokes equations), electromagnetism (Maxwell's equations), and heat transfer.
  • Engineering: Analysing structural mechanics, aerodynamics, and acoustic design.
  • Finance: The famous Black-Scholes model for pricing financial options is a PDE.
  • Computer Graphics: Simulating realistic water, smoke, and cloth behaviour.
  • Biology: Modelling population dynamics, tumour growth, and the spread of epidemics.

6. Why are PDEs generally considered more difficult to solve than ODEs?

PDEs are significantly more complex to solve than ODEs for several reasons. Since they involve multiple independent variables, the solution surfaces can be intricate and depend heavily on the geometry of the domain. Unlike ODEs, there is no single, universally applicable method for solving all PDEs. The solution often depends on specific boundary and initial conditions, and techniques like separation of variables, integral transforms, or advanced numerical methods are required, topics often explored in JEE Main Maths for competitive exams.

7. How does a partial derivative form the basis of a PDE?

A partial derivative measures how a multivariable function changes as one of its variables changes, while all other variables are held constant. PDEs use this concept to build a complete picture of how a system behaves by linking its rates of change across multiple dimensions. For example, the Wave Equation connects the acceleration of a wave element (second derivative with respect to time) to its curvature (second derivative with respect to space), something impossible to express without partial derivatives.

8. What are the main types of second-order linear PDEs?

Second-order linear PDEs are classified into three types, which helps determine the nature of their solutions and the methods to solve them. This classification is based on the coefficients of the highest-order terms.

  • Elliptic PDEs (e.g., Laplace's Equation): Typically describe steady-state phenomena where there is no time evolution.
  • Parabolic PDEs (e.g., Heat Equation): Usually model diffusion processes that evolve over time.
  • Hyperbolic PDEs (e.g., Wave Equation): Often describe wave propagation and phenomena with finite propagation speeds.

9. What is the difference between a linear and a non-linear PDE?

The distinction is based on how the unknown function and its derivatives appear in the equation.

  • A linear PDE is one where the dependent variable and its derivatives appear only in linear terms (i.e., not multiplied together or raised to a power). The principle of superposition applies, meaning solutions can be added together.
  • A non-linear PDE contains non-linear terms, such as products of the unknown function with its derivatives (e.g., u * ∂u/∂x) or powers of derivatives. These equations model more complex phenomena like turbulence and shockwaves and are much harder to solve.