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mathematics

Heat equation

Heat equation is a mathematics topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Heat equation rather than just read about it. In short: In mathematics and physics (more specifically thermodynamics), the heat equation is a parabolic partial differential equation. The theory of the heat equation was first developed by Joseph Fourier in 1822 for the purpose of modeling how a quantity such as heat diffuses through a given region.

Heat equation — main illustration
Heat equation — illustration

Key takeaways

  • Heat equation belongs to mathematics; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Heat equation to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Heat equation from memory before moving on to harder problems.

Reference excerpt

In mathematics and physics (more specifically thermodynamics), the heat equation is a parabolic partial differential equation. The theory of the heat equation was first developed by Joseph Fourier in 1822 for the purpose of modeling how a quantity such as heat diffuses through a given region. Since then, the heat equation and its variants have been found to be fundamental in many parts of both pure and applied mathematics.

Definition Given an open subset U of R n {\displaystyle \mathbb {R} ^{n}} and a subinterval I of R {\displaystyle \mathbb {R} } , one says that a function u : U × I → R {\displaystyle u:U\times I\to \mathbb {R} } is a solution of the heat equation if

∂ u ∂ t = ∂ 2 u ∂ x 1 2 + ⋯ + ∂ 2 u ∂ x n 2 , {\displaystyle {\frac {\partial u}{\partial t}}={\frac {\partial ^{2}u}{\partial x_{1}^{2}}}+\cdots +{\frac {\partial ^{2}u}{\partial x_{n}^{2}}},}

where ( x 1 , x 2 , ⋯ , x n , t ) {\displaystyle (x_{1},x_{2},\cdots ,x_{n},t)} denotes a general point of the domain. It is typical to refer to t {\displaystyle t} as time and ( x 1 , x 2 , ⋯ , x n ) {\displaystyle (x_{1},x_{2},\cdots ,x_{n})} as spatial variables, even in abstract contexts where these phrases fail to have their intuitive meaning. The collection of spatial variables is often referred to simply as x. For any given value of t, the right-hand side of the equation is the Laplacian of the function u ( ⋅ , t ) : U → R {\displaystyle u(\cdot ,t):U\to \mathbb {R} } . As such, the heat equation is often written more compactly as

In physics and engineering contexts, especially in the context of diffusion through a medium, it is more common to fix a Cartesian coordinate system and then to consider the specific case of a function u ( x , y , z , t ) {\displaystyle u(x,y,z,t)} of three spatial variables ( x , y , z ) {\displaystyle (x,y,z)} and time variable t {\displaystyle t} . One then says that u is a solution of the heat equation if

∂ u ∂ t = α ( ∂ 2 u ∂ x 2 + ∂ 2 u ∂ y 2 + ∂ 2 u ∂ z 2 ) {\displaystyle {\frac {\partial u}{\partial t}}=\alpha \left({\frac {\partial ^{2}u}{\partial x^{2}}}+{\frac {\partial ^{2}u}{\partial y^{2}}}+{\frac {\partial ^{2}u}{\partial z^{2}}}\right)}

… excerpt ends here. Continue reading the full article.

Illustrations

Heat equation: Animated plot of the evolution of the temperature in a square metal plate as predicted by the heat equation. The height and redness indicate the temperature at each point.  The initial state has a uniformly hot hoof-shaped region (red) surrounded by uniformly cold region (yellow). As time passes the heat diffuses into the cold region.
Animated plot of the evolution of the temperature in a square metal plate as predicted by the heat equation. The height and redness indicate the temperature at each point. The initial state has a uniformly hot hoof-shaped region (red) surrounded by uniformly cold region (yellow). As time passes the heat diffuses into the cold region.
Heat equation: Solution of a 1D heat partial differential equation. The temperature (
  
    
      
        u
      
    
    {\displaystyle u}
  
) is initially distributed over a one-dimensional, one-unit-long interval (x = [0,1]) with insulated endpoints. The distribution approaches equilibrium over time.
Solution of a 1D heat partial differential equation. The temperature ( u {\displaystyle u} ) is initially distributed over a one-dimensional, one-unit-long interval (x = [0,1]) with insulated endpoints. The distribution approaches equilibrium over time.
Heat equation: The behavior of temperature when the sides of a 1D rod are at fixed temperatures (in this case, 0.8 and 0 with initial Gaussian distribution). The temperature approaches a linear function because that is the stable solution of the equation: wherever temperature has a nonzero second spatial derivative, the time derivative is nonzero as well.
The behavior of temperature when the sides of a 1D rod are at fixed temperatures (in this case, 0.8 and 0 with initial Gaussian distribution). The temperature approaches a linear function because that is the stable solution of the equation: wherever temperature has a nonzero second spatial derivative, the time derivative is nonzero as well.
Heat equation: Idealized physical setting for heat conduction in a rod with homogeneous boundary conditions.
Idealized physical setting for heat conduction in a rod with homogeneous boundary conditions.
Heat equation: Fundamental solution of the one-dimensional heat equation. Red: time course of 
  
    
      
        Φ
        (
        x
        ,
        t
        )
      
    
    {\displaystyle \Phi (x,t)}
  
. Blue: time courses of 
  
    
      
        Φ
        (
        
          x
          
            0
          
        
        ,
        t
        )
      
    
    {\displaystyle \Phi (x_{0},t)}
  
 for two selected points x0 = 0.2 and x0 = 1. Note the different rise times/delays and amplitudes. Interactive version.
Fundamental solution of the one-dimensional heat equation. Red: time course of Φ ( x , t ) {\displaystyle \Phi (x,t)} . Blue: time courses of Φ ( x 0 , t ) {\displaystyle \Phi (x_{0},t)} for two selected points x0 = 0.2 and x0 = 1. Note the different rise times/delays and amplitudes. Interactive version.

Worked examples

Example 1 — a first encounter with Heat equation

Start with the simplest possible case. Write down what Heat equation claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In mathematics, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Heat equation before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Heat equation ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Heat equation

In research
Heat equation appears in mathematics research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Heat equation in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Heat equation is common in secondary-school and first-year university syllabi. It links to neighbouring topics Diffusion, Heat conduction, Heat transfer, so understanding it makes those chapters shorter.
In everyday life
Look for Heat equation outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Heat equation in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Heat equation means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Heat equation out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Heat equation in simple terms?

In mathematics and physics (more specifically thermodynamics), the heat equation is a parabolic partial differential equation. The theory of the heat equation was first developed by Joseph Fourier in 1822 for the purpose of modeling how a quantity such as heat diffuses through a given region.

Why does Heat equation matter?

Because it connects several mathematics ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Heat equation?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Heat equation.

Tags

  • Diffusion
  • Heat conduction
  • Heat transfer
  • Parabolic partial differential equations

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