When its matrix is non-singular.
A consistent system with independent equations is one in which there is at least one solution, and the equations do not overlap in their constraints, meaning that no equation can be derived from another. In such a system, the equations represent different planes (or lines in two dimensions), and they intersect at one unique point (in the case of two variables) or along a line (for three variables). This unique intersection indicates that the system has a single solution that satisfies all equations simultaneously.
false
Without a second independent equation, it's not a 'system' yet.
yes it can . the system may have infinitely many solutions.
When its matrix is non-singular.
That doesn't apply to "an" equation, but to a set of equations (2 or more). Two equations are:* Inconsistent, if they have no common solution (a set of values, for the variables, that satisfies ALL the equations in the set). * Consistent, if they do. * Dependent, if one equation can be derived from the others. In this case, this equation doesn't provide any extra information. As a simple example, one equation is the same as another equation, multiplying both sides by a constant. * Independent, if this is not the case.
consistent dependent
false
linus
There must be fewer independent equation than there are variables. An equation in not independent if it is a linear combination of the others.
A consistent system.
Without a second independent equation, it's not a 'system' yet.
yes it can . the system may have infinitely many solutions.
Without a second independent equation, it's not a 'system' yet.
The time-independent Schrödinger equation is more general as it describes the stationary states of a quantum system, while the time-dependent Schrödinger equation describes the time evolution of the wave function. The time-independent equation can be derived from the time-dependent equation in specific situations.
An independent system of linear equations is a set of vectors in Rm, where any other vector in Rm can be written as a linear combination of all of the vectors in the set. The vector equation and the matrix equation can only have the trivial solution (x=0).