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Variation of parameters

Variation of parameters 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 Variation of parameters rather than just read about it. In short: In mathematics, variation of parameters, also known as variation of constants, is a general method to solve inhomogeneous linear ordinary differential equations. For first-order inhomogeneous linear differential equations it is usually possible to find solutions via integrating factors or undetermined coefficients with considerably less effort, although those methods leverage heuristics that involve guessing and do…

Key takeaways

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

Reference excerpt

In mathematics, variation of parameters, also known as variation of constants, is a general method to solve inhomogeneous linear ordinary differential equations. For first-order inhomogeneous linear differential equations it is usually possible to find solutions via integrating factors or undetermined coefficients with considerably less effort, although those methods leverage heuristics that involve guessing and do not work for all inhomogeneous linear differential equations. Variation of parameters extends to linear partial differential equations as well, specifically to inhomogeneous problems for linear evolution equations like the heat equation, wave equation, and vibrating plate equation. In this setting, the method is more often known as Duhamel's principle, named after Jean-Marie Duhamel (1797–1872) who first applied the method to solve the inhomogeneous heat equation. Sometimes variation of parameters itself is called Duhamel's principle and vice versa.

History The method of variation of parameters was first sketched by the Swiss mathematician Leonhard Euler (1707–1783), and later completed by the Italian-French mathematician Joseph-Louis Lagrange (1736–1813). A forerunner of the method of variation of a celestial body's orbital elements appeared in Euler's work in 1748, while he was studying the mutual perturbations of Jupiter and Saturn. In his 1749 study of the motions of the earth, Euler obtained differential equations for the orbital elements. In 1753, he applied the method to his study of the motions of the moon. Lagrange first used the method in 1766. Between 1778 and 1783, he further developed the method in two series of memoirs: one on variations in the motions of the planets and another on determining the orbit of a comet from three observations. During 1808–1810, Lagrange gave the method of variation of parameters its final form in a third series of papers.

Description of method Given an ordinary non-homogeneous linear differential equation of order n

Let y 1 ( x ) , … , y n ( x ) {\displaystyle y_{1}(x),\ldots ,y_{n}(x)} be a basis of the vector space of solutions of the corresponding homogeneous equation

Then a particular solution to the non-homogeneous equation is given by

where the c i ( x ) {\displaystyle c_{i}(x)} are differentiable functions which are assumed to satisfy the conditions

Starting with (iii), repeated differentiation combined with repeated use of (iv) gives

One last differentiation gives

By substituting (iii) into (i) and applying (v) and (vi) it follows that

The linear system (iv and vii) of n equations can then be solved using Cramer's rule yielding

c i ′ ( x ) = W i ( x ) W ( x ) , i = 1 , … , n {\displaystyle c_{i}'(x)={\frac {W_{i}(x)}{W(x)}},\,\quad i=1,\ldots ,n}

where W ( x ) {\displaystyle W(x)} is the Wronskian determinant of the basis y 1 ( x ) , … , y n ( x ) {\displaystyle y_{1}(x),\ldots ,y_{n}(x)} and W i ( x ) {\displaystyle W_{i}(x)} is the Wronskian determinant of the basis with the i-th column replaced by ( 0 , 0 , … , b ( x ) ) . {\displaystyle (0,0,\ldots ,b(x)).}

The particular solution to the non-homogeneous equation can then be written as

∑ i = 1 n y i ( x ) ∫ W i ( x ) W ( x ) d x . {\displaystyle \sum _{i=1}^{n}y_{i}(x)\,\int {\frac {W_{i}(x)}{W(x)}}\,\mathrm {d} x.}

Intuitive explanation Consider the equation of the forced dispersionless spring, in suitable units:

x ″ ( t ) + x ( t ) = F ( t ) . {\displaystyle x''(t)+x(t)=F(t).}

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Variation of parameters

Start with the simplest possible case. Write down what Variation of parameters 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 Variation of parameters 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 Variation of parameters 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 Variation of parameters

In research
Variation of parameters 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 Variation of parameters 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
Variation of parameters is common in secondary-school and first-year university syllabi. It links to neighbouring topics Ordinary differential equations, so understanding it makes those chapters shorter.
In everyday life
Look for Variation of parameters 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 Variation of parameters in 20 minutes

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

Frequently asked questions

What is Variation of parameters in simple terms?

In mathematics, variation of parameters, also known as variation of constants, is a general method to solve inhomogeneous linear ordinary differential equations. For first-order inhomogeneous linear differential equations it is usually possible to find solutions via integrating factors or undetermi…

Why does Variation of parameters 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 Variation of parameters?

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 Variation of parameters.

Tags

  • Ordinary differential equations

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