Industry-relevant training in Business, Technology, and Design to help professionals and graduates upskill for real-world careers.
Fun, engaging games to boost memory, math fluency, typing speed, and English skillsβperfect for learners of all ages.
Listen to a student-teacher conversation explaining the topic in a relatable way.
Signup and Enroll to the course for listening the Audio Lesson
Today, we're going to discuss what a Partial Differential Equation, or PDE, is. Can anyone tell me how a PDE differs from an ordinary differential equation?
Is it because PDEs involve more than one variable?
Exactly! PDEs involve multiple independent variables, while ordinary differential equations involve just one. For example, if we have a function u depending on x and y, we write its partial derivatives.
What does a typical PDE look like?
"Great question! A general form of a second-order PDE in two variables x and y looks like this...
Signup and Enroll to the course for listening the Audio Lesson
Now let's dive into the types of PDEs: linear and non-linear. Could someone explain what a linear PDE is?
Isn't it when the dependent variable and its derivatives only appear to the first power?
"Correct! In a linear PDE, the dependent variable and its partial derivatives appear to the first power without any multiplicative combinations. An example is Laplaceβs equation, which we write as:
Read a summary of the section's main ideas. Choose from Basic, Medium, or Detailed.
PDEs, unlike ordinary differential equations, involve multiple independent variables and are crucial for modeling various physical phenomena. This section defines PDEs and differentiates between linear and non-linear types.
Partial Differential Equations (PDEs) are equations that contain unknown multivariable functions and their partial derivatives. At their core, PDEs involve relationships where the dependent variable is affected by multiple independent variables. This section specifically focuses on the definition of PDEs and further delves into their linear and non-linear types. The general form of a second-order PDE in two independent variables, x and y, is represented as:
$$\frac{\partial^2 u}{\partial x^2} A(x,y,u) + \frac{\partial^2 u}{\partial x \partial y} B(x,y,u) + \frac{\partial^2 u}{\partial y^2} C(x,y,u) + \ldots = 0$$
Understanding the definition of PDEs lays the foundation for exploring their linear and non-linear characteristics, which are essential for modeling and analyzing phenomena in physics and engineering.
Dive deep into the subject with an immersive audiobook experience.
Signup and Enroll to the course for listening the Audio Book
A Partial Differential Equation (PDE) is an equation involving partial derivatives of a function of several independent variables.
A Partial Differential Equation (PDE) is a type of mathematical equation that includes partial derivatives. These derivatives represent how a function changes when there are multiple independent variables involved. For instance, if you're modeling how temperature changes in a room over time and space, both time and space would act as independent variables. Unlike regular differential equations, which handle only one variable, PDEs can manage multiple variables, making them essential in modeling complex systems.
Imagine you're trying to create a map of ocean currents in a vast ocean. The flow of water (the dependent variable) depends on both the depth of water (one independent variable) and the location in the ocean (another independent variable). The changes in the current at different depths and locations are described using a PDE, much like how weather forecasts use complicated equations to model atmospheric changes.
Signup and Enroll to the course for listening the Audio Book
General form of a second-order PDE in two variables π₯ and π¦:
βΒ²π’ / βπ₯Β² + βΒ²π’ / βπ₯βπ¦ + βΒ²π’ / βπ¦Β² + β― = 0
The general form of a second-order PDE in two variables gives us a framework for understanding how the function u (which depends on variables x and y) can be structured. The terms represent different ways in which the function u can change in relation to the variables x and y, demonstrating the complexity that can arise when dealing with PDEs. The partial derivatives signify how u is influenced not only by itself but also by its interactions with the independent variables.
Think about a 2D graph where you're plotting the height of land hills and valleys. The height at any point (u) depends not just on the location (x and y coordinates) but also on how it changes in relation to its neighboring pointsβjust like the slopes in a terrain. The equation helps to describe how steeply the land rises or falls, which is a direct application of PDEs in real-world modeling.
Learn essential terms and foundational ideas that form the basis of the topic.
Key Concepts
Partial Differential Equation (PDE): An equation involving partial derivatives of a function of several variables.
Linear PDE: A type of PDE where the dependent variable and its derivatives are to the first power.
Non-linear PDE: A type of PDE where the dependent variable can appear with powers other than one or in products.
See how the concepts apply in real-world scenarios to understand their practical implications.
Laplaceβs Equation as an example of a linear PDE: \( \frac{\partial^2 u}{\partial x^2} + \frac{\partial^2 u}{\partial y^2} = 0 \).
An example of a non-linear PDE: \( \frac{\partial u}{\partial x} \cdot \frac{\partial u}{\partial y} = 1 \).
Use mnemonics, acronyms, or visual cues to help remember key information more easily.
When derivatives lie in pairs, multiply their powers with care; in linear forms theyβre simple and clear.
Once in a kingdom of mathematics, there lived two types of equations: Linear, who always played nice and simple, and Non-linear, who loved to twist and turn in complex roles.
To remember types of PDEs: 'Learn Non-linear Challenges' for Non-linear PDEs and 'Linear Simple Tasks' for Linear PDEs.
Review key concepts with flashcards.
Review the Definitions for terms.
Term: Partial Differential Equation (PDE)
Definition:
An equation that involves partial derivatives of a function with respect to multiple independent variables.
Term: Ordinary Differential Equation (ODE)
Definition:
An equation involving derivatives of a function with respect to a single independent variable.
Term: Linear PDE
Definition:
A PDE where the dependent variable and its derivatives appear to the first power.
Term: Nonlinear PDE
Definition:
A PDE where the dependent variable and/or its derivatives appear with powers other than one or are multiplied together.
Term: Laplaceβs Equation
Definition:
A second-order linear PDE, typically represented as (x,y) + (y,x) = 0.