Homogeneous linear differential equation Created 2026-09-29 Updated 2026-10-14
A homogeneous linear differential equation is a linear differential equation with identically zero forcing term, . On a common interval, its solutions of a differential equation form the vector space , the kernel of a linear map. They include the zero function and are closed under addition and scalar multiplication. For any two solutions of a differential equation and constant scalars , linearity gives : this is the superposition principle. The scalars must be constant; variable multipliers introduce extra derivatives.
For example, has general solution , where is any constant real number. A short verification uses the product rule: , so is constant. For and , the sum is and also solves the same homogeneous linear differential equation. At , their values are approximately , and . Every curve is a multiple of one exponential function; the solution space of a homogeneous linear differential equation has dimension one. Both and in this example and the following diagram are dimensionless mathematical variables.
Now keep the same differential operator but prescribe the forcing term . The inhomogeneous linear differential equation has particular solution and general solution . The initial conditions select, respectively,At , their values are approximately , and . The midpoint solves the same inhomogeneous linear differential equation, because . The sum instead satisfies , so it fails the equation with forcing term . More generally, a linear combination of solutions of a differential equation for the same fixed nonzero forcing term retains that forcing term precisely when its scalar weights add to one. This is the affine space structure, rather than unrestricted superposition within that fixed family.
Homogeneous solutions obey superposition, while a fixed forcing term gives a particular solution plus homogeneous solutions
. Details. On the left, all three curves solve the same homogeneous linear differential equation. On the right, share the particular solution , and the shaded difference is the homogeneous solution . The dashed sum has twice the forcing term, even though its starting value coincides with that of . Adding the two initial conditions also adds their inputs; taking their midpoint averages both. This distinction makes the superposition principle useful for assembling responses to different inputs without mistaking that assembly for a solution of a differential equation with the original input. See MIT's superposition notes, including the particular solution one half.
Mészáros equation solution basis 2026-10-06
A basis of the solution space of a homogeneous linear differential equation for the Mészáros equation on isSubstitution verifies both solutions; their Wronskian is , so they are independent. At small , and . At large , and . Matching the actual early-time radiation forcing determines which constant and logarithmic combination is excited.
Past exam of the mathematics course of the University of Cambridge 2005 ia Paper 2 2B Solution Created 2026-09-24 Updated 2026-10-14
Work first on , where the proposed logarithm is defined. Substitution of into the Cauchy-Euler differential equation gives the indicial equationIts distinct indicial roots are . Using and Euler's formula, a real basis of solutions is . Their Wronskian is , so they are linearly independent and span the two-dimensional solution space of a homogeneous linear differential equation. ThereforeFor the requested change of variables, set . The chain rule givesThe transformed second-order linear differential equation is . Its characteristic roots are again , giving . Substituting recovers precisely the previous general solution.
If solutions on are wanted, the same calculation uses and gives independent constants on that interval. Zero is a singular point of a differential equation; the logarithmic oscillations do not define a nonzero continuous solution through it.
Past exam of the mathematics course of the University of Cambridge 2019 ii Paper 1 14A a Solution Created 2026-09-24 Updated 2026-10-03
The Papperitz symbolrepresents the two-dimensional solution space of a homogeneous linear differential equation for a second-order Fuchsian differential equation on the Riemann sphere. Its only singularities are the three regular singular points . The two entries beneath each point are its characteristic exponents at a regular singular point: for example, in the nonresonant case a local basis near has leading behaviours and . If one of the points is infinity, exponent conventionally means behaviour there.
The six exponents obey the Fuchs relationSubject to this relation, the symbol determines the corresponding Riemann differential equation; resonant differences between exponents may produce Logarithmic Frobenius solutions without changing the exponent data recorded by the symbol.
For , the derivatives are and . Consequently the left-hand side of the ordinary differential equation iswhere .
Use reduction of order, writing . A direct application of the product rule givesFor the resulting first-order ordinary differential equation is whenever . Integration yields and ; the case is already included. Henceon either interval or . The two displayed solutions of a differential equation are linearly independent, so they span the solution space of a homogeneous linear differential equation on either interval. The point is a singular point of a differential equation and cannot be crossed by a nonzero member of this family that remains finite there.
