ArticleslgStudy

mathematics

Hessian equation

Hessian 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 Hessian equation rather than just read about it. In short: In mathematics, k-Hessian equations (or Hessian equations for short) are partial differential equations (PDEs) based on the Hessian matrix. More specifically, a Hessian equation is the k-trace, or the kth elementary symmetric polynomial of eigenvalues of the Hessian matrix.

Key takeaways

  • Hessian 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 Hessian equation to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Hessian equation from memory before moving on to harder problems.

Reference excerpt

In mathematics, k-Hessian equations (or Hessian equations for short) are partial differential equations (PDEs) based on the Hessian matrix. More specifically, a Hessian equation is the k-trace, or the kth elementary symmetric polynomial of eigenvalues of the Hessian matrix. When k ≥ 2, the k-Hessian equation is a fully nonlinear partial differential equation. It can be written as S k [ u ] = f {\displaystyle {\cal {S}}_{k}[u]=f} , where 1 ⩽ k ⩽ n {\displaystyle 1\leqslant k\leqslant n} , S k [ u ] = σ k ( λ ( D 2 u ) ) {\displaystyle {\cal {S}}_{k}[u]=\sigma _{k}(\lambda ({\cal {D}}^{2}u))} , and λ ( D 2 u ) = ( λ 1 , ⋯ , λ n ) {\displaystyle \lambda ({\cal {D}}^{2}u)=(\lambda _{1},\cdots ,\lambda _{n})} , are the eigenvalues of the Hessian matrix D 2 u = [ ∂ i ∂ j u ] 1 ≤ i , j ≤ n {\displaystyle {\cal {D}}^{2}u=[\partial _{i}\partial _{j}u]_{1\leq i,j\leq n}} and σ k ( λ ) = ∑ i 1 < ⋯ < i k λ i 1 ⋯ λ i k {\displaystyle \sigma _{k}(\lambda )=\sum _{i_{1}<\cdots <i_{k}}\lambda _{i_{1}}\cdots \lambda _{i_{k}}} , is a k {\displaystyle k} th elementary symmetric polynomial. Much like differential equations often study the actions of differential operators (e.g. elliptic operators and elliptic equations), Hessian equations can be understood as simply eigenvalue equations acted upon by the Hessian differential operator. Special cases include the Monge–Ampère equation and Poisson's equation (the Laplacian being the trace of the Hessian matrix). The 2−hessian operator also appears in conformal mapping problems. In fact, the 2−hessian equation is unfamiliar outside Riemannian geometry and elliptic regularity theory, that is closely related to the scalar curvature operator, which provides an intrinsic curvature for a three-dimensional manifold. These equations are of interest in geometric PDEs (a subfield at the interface between both geometric analysis and PDEs) and differential geometry.

References

Further reading Caffarelli, L.; Nirenberg, L.; Spruck, J. (1985), "The Dirichlet problem for nonlinear second order elliptic equations, III: Functions of the eigenvalues of the Hessian" (PDF), Acta Mathematica, 155 (1): 261–301, doi:10.1007/BF02392544.

Worked examples

Example 1 — a first encounter with Hessian equation

Start with the simplest possible case. Write down what Hessian 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 Hessian 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 Hessian 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 Hessian equation

In research
Hessian 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 Hessian 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
Hessian equation is common in secondary-school and first-year university syllabi. It links to neighbouring topics Differential geometry stubs, Partial differential equations, so understanding it makes those chapters shorter.
In everyday life
Look for Hessian 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.
Ask Teacher Smith questions about this articleOpens your AI tutor with a question about “Hessian equation” →

Affiliate

Preply — study more efficiently by working with a personal tutor. 50% off.

How to study Hessian equation in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Hessian 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 Hessian equation out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Hessian equation in simple terms?

In mathematics, k-Hessian equations (or Hessian equations for short) are partial differential equations (PDEs) based on the Hessian matrix. More specifically, a Hessian equation is the k-trace, or the kth elementary symmetric polynomial of eigenvalues of the Hessian matrix.

Why does Hessian 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 Hessian 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 Hessian equation.

Tags

  • Differential geometry stubs
  • Partial differential equations

Keep exploring