The method of characteristics solves a first-order partial differential equation by reducing it to ordinary differential equations along characteristic curves.
For the partial differential equation with initial profile , the method of characteristics gives the parametrized surfaceThe projection to the plane has Jacobian determinant . It is positive for , so the inverse function theorem makes the surface a unique local solution graph there. For , strict monotonicity and divergence to infinity give a global inverse onto at each such .
The derivative becomes singular when that projection first degenerates, although itself stays finite. At the degenerate labels are odd multiples of , and at they are even multiples. At either boundary the limiting map remains strictly increasing, with isolated zero derivatives, so fixed image values determine convergent labels. Consequently the gradient diverges at fixed as , and at fixed as , using and , respectively, to stay in the half-line initial domain. At these first singularities and ; this is the onset of loss of invertibility, rather than an ordinary nondegenerate fold at the initial singular time.
The equations of the method of characteristics give . Their parameter map to the plane has Jacobian determinant one, so it is globally invertible and is uniquely determined exactly where . Both positive and negative occur. Outside this closed parabolic strip, allows arbitrary smooth changes of outside the initial parameter interval. The boundary characteristic curves carry the data from its endpoints.
The method of characteristics from are . Their projections are half-parabolas with . The inverse parameters , exist exactly on the first and third quadrants, giving the unique solution there. The projection Jacobian is nonzero, so every allowed initial point is noncharacteristic.
A smooth characteristic surface in three-dimensional space need not remain the graph of a differentiable function after projection to the plane. Locally, if its implicit equation is , the implicit function theorem produces a smooth graph wherever . At a point where , the projection can fold and two graph branches can meet. A real radical formula may continue to that boundary even though its partial derivatives diverge there. Thus the closed set on which the radical is real can be larger than the open domain of a classical solution.
For example,has two branches . On them , so the graph projection folds on the nonzero boundary points of . Its gradient in the base variables does not vanish at those points, and differentiation of the radical gives the transverse derivative singularity. The characteristic surface itself can be smooth there: its graph coordinate is the part which fails. Boundary values may still be defined continuously, but they do not create an open classical-solution neighborhood.
For with , method of characteristics conserves . A positive downstream branch therefore requires . Initial points in the negative-accumulation region cannot create nonnegative ice from a bare bed. Characteristic intersections and missing dry-bed physics prevent using the formal initial/boundary branches as an unrestricted global solution.
For a first-order nonlinear partial differential equation , with , Charpit's equations extend the method of characteristics to the five-dimensional space of position, value and gradient:The chain rule gives by direct cancellation, so a trajectory starting on remains there. Initial data on require both and . The non-characteristic condition is . It makes the projection onto locally invertible. Compatible initial contact data then propagate as , reconstructing a classical solution. Multiple permitted initial normal derivatives can give different local branches; loss of the projection Jacobian determinant marks a characteristic caustic.
For initial data on , the characteristic surface has , , . Its projection determinant is , so the sheet connected to the initial data loses local invertibility at . The regular sheet has and projects to , . Its upper boundary is a fold point of a critical manifold caustic. Solving the inverse yields ; the other square-root branch lies on the folded sheet and cannot simply be joined as a unique smooth solution. The initial point is already characteristic, illustrating the need to inspect endpoints as well as the interior of a Cauchy curve.
For a fixed real unit vector , the linear ordinary differential equation combines dilation with rotation about the axis . Its solution from a line , with , isSince and , the union of these characteristic curves is given by . For it is a circular cone of semi-angle : varying supplies every azimuth and varying supplies every radius on both halves. For it is a plane; for it is only the axis. In the last case the line is itself a characteristic curve, so the initial data do not generate a two-dimensional surface. The cone is a smooth surface away from its vertex, and it is a graph of a function only on suitable patches. Invariance of a graph patch under characteristic curves holds only while the curve stays in its domain; global flow invariance requires continuation of that patch.
A characteristic caustic is a locus where the coordinate map from initial-data and evolution parameters to physical coordinates has zero Jacobian determinant. The inverse function theorem then fails, and different characteristic branches can reach the same point. A classical solution constructed from initial data must be restricted to its appropriate invertible branch before such a fold. In geometrical optics the corresponding ray-envelope phenomenon is a caustic; in nonlinear first-order equations a fold can signal the onset of multiple gradients or shock formation by characteristic intersection.
For a first-order partial differential equation with the displayed projected characteristic field, label the initial segment by . The characteristic curves are , . They are the branches of straight lines through on the side . The inverse coordinates areThey are unique exactly in the displayed sector. The Jacobian determinant is , so the initial segment is noncharacteristic and its transported data determine a unique classical solution on the sector's interior whenever the characteristic equation for the dependent variable has a unique solution. The bounding rays inherit data from the two endpoints. The point is approached only at infinite parameter time, and characteristics on the opposite side cannot reach the initial segment.
For the first-order quasilinear partial differential equation , the displayed ordinary differential equations trace curves tangent to every classical solution surface. Indeed, if solves the equation and , , then the chain rule gives . Conversely a surface swept out by these curves solves the equation wherever its projection to is invertible and hence represents a differentiable graph. The coefficients can depend on the unknown , which distinguishes these equations from characteristic equations for a prescribed linear transport equation.
A characteristic surface may remain smooth while its projection to the independent-variable plane fails to be locally invertible. At a generic fold, smooth changes of parameter and plane coordinates reduce this projection to . There are two sheets on one side of the image of , no sheet on the other, and one merged sheet on the fold itself. The image is a fold caustic. A characteristic graph can terminate there even though the space curves defining the surface continue smoothly. Vanishing of the Jacobian determinant detects a candidate singular locus; verifying the fold requires a nonzero quadratic term in its null direction, as in .
For the linear partial differential equation , the method of characteristics gives , , . Thus is constant on each characteristic curve, whose nonzero level sets are ellipses. On a domain containing entire such ellipses, the solutions have the form , subject to the desired regularity at the origin.
For the inhomogeneous equation , a particular solution is , so the general solution is . Prescribing fixes only for . The inner ellipses never intersect that data line, so the boundary values leave their solution values undetermined. Smooth extensions must match the prescribed at ; choosing the same linear formula everywhere gives one polynomial extension.
The characteristic ordinary differential equations , preserve . Away from the origin, , have nonzero Jacobian determinant , and the chain rule reduces the displayed equation to . Hence locally .
Globally, a level set of can have disconnected characteristic components, permitting different profiles on its different branches. A smooth counterexample on the whole plane is where and , and elsewhere. The exponential is flat on the wedge boundary, so this extension is smooth and satisfies the equation. Nevertheless the points and have equal and different function values. One global profile therefore needs an additional branch-identification condition, rather than following from the local change of variables alone.
For , the curves in the method of characteristics are , and . On either component , the invariant is , giving . A coordinate change that includes may be singular on an axis, so smooth continuation there must be checked against the original partial differential equation.
If initial data are parameterized by and their characteristic invariant is , a solution constant on characteristics requires . At a fold , equal invariant values must have equal data, and must extend continuously if is continuously differentiable. The condition alone is insufficient: for , the data would require a derivative of blowing up at .
For a transport equation , solve . The chain rule then gives . Initial data and the time integral of this source determine the solution along each characteristic curve.
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