The
fundamental passivelinear
circuit elements are
the resistor
(R), capacitor
(C) and inductor
(L) or coil. These circuit elements can be combined to form an electrical circuit in four distinct ways: the RC circuit, the RL circuit, the LC circuit and the RLC circuit with the abbreviations indicating which components are used.
RC and RL are one of the most basics examples of electric circuits and
yet they are very rich in content. The manner in which voltage or
current varies with time is referred as time response. We are
going to determine currents and voltages that arise when energy is
either acquired or released by an inductor or capacitor in response to
a change in a voltage or current source.
restart;
add(k^3, k = 1 .. n);
We consider first the response of the three basic idealized passive circuit
elements (resistance, inductance, and capacitance) to a steady state
sinusoidal excitation.
Resistance
Inductance
Capacitance
Sinusoidal voltage applied
Suppose that each isolated pure circuit elements R, C, and
L, is subject to applied sinusoidal voltage given by
This formula shows that the wave form of the current consists of two
components: a direct current of magnitude
Vm/(ωL) sinφ and a sinusoidal current
\( \left( V_m/\omega /L \right) \cos \left( \omega t - \phi
- \pi /2 \right) . \) The resultant is an oscillating sinusoidal
current but not an alternating one (its average is zero). Thus, the existence
of an alternating sinusoidal voltage across a pure inductance does not
necessarily imply that the current will also be an alternating sinusoidal
lagging π/2 behind the voltage; this will be true, however, only is
φ = 0, i.e., if the switch is closed when the voltage is a maximum.
Sinusoidal current applied
Suppose that each isolated pure circuit elements R, C, and
L, is subject to applied sinusoidal current given by
The latter shows that the voltage across the capacitor is not a pure sinusoidal unless φ = 0.
Real circuits
In practice, lumped circuit elements designed to behave as pure resistances,
inductances, and capacitances must inherently have some combination of all three properties. Since inductance and capacitance depend essentially on the geometry of the element, it is possible to design elements in which these parameters are negligibly small. Resistance, however, is the one parameter which is difficult to eliminate in inductors and capacitors since it is an inherent property of their constituent elements. Therefore, inductors and capacitors are usually come with a combination with resistors.
The major difference between RC and RL circuits is that the RC circuit
stores energy in the form of the electric field while the RL circuit
stores energy in the form of magnetic field. Another significant
difference between RC and RL circuits is that RC circuit initially
offers zero resistance to the current flowing through it and when the
capacitor is fully charged, it offers infinite resistance to the
current. While the RL circuit initially opposes the current flowing
through it but when the steady state is reached it offers zero
resistance to the current across the coil.
Let’s examine each one carefully. Since the voltages and currents of
the basic RL and RC circuits are described by first order differential
equations, these basic RL and RC circuits are called the first
order circuits.
Then we find its compact formula with
simplify command
simplify(%)
\[
\frac{\left( n+1 \right)^2 n^2}{4}
\]
(a*b)/c+13*d \[ {\frac {ab}{c}}+13\,d \]
Example:
**DESCRIPTION OF PROBLEM GOES HERE**
This is a description for some Maple code. Maple is an extremely
useful tool for many different areas in engineering, applied
mathematics, computer science, biology, chemistry, and so much
more. It is quite amazing at handling matrices, but has lots of
competition with other programs such as Mathematica and Maple. Here is
a code snippet plotting two lines (y vs. x and z vs. x)
on the same graph:
Theorem:
If λ is an eigenvalue of a square matrix A, then its algebraic multiplicity is at least as large as its geometric multiplicity.
▣
Let x1, x2, …
, xr be all of the
linearly independent eigenvectors associated to λ, so that
λ has geometric multiplicity r. Let
xr+1, xr+2, …
, xn complete this list to a basis for
ℜn, and let S be the n×n
matrix whose columns are all these
vectors xs, s = 1, 2, …
, n. As usual, consider the product of two
matrices AS. Because the first r columns of S are
eigenvectors, we have
Now multiply out S-1AS. Matrix S is
invertible because its columns are a basis for ℜn. We
get that the first r columns of S-1AS
are diagonal with &lambda's on the diagonal, but that the rest of the
columns are indeterminable. Now S-1AS has
the same characteristic polynomial as A. Indeed,
because the determinants of S and S-1 cancel.
So the characteristic polynomials of A and
S-1AS are
the same. But since the first few columns of
S-1AS has a factor of at least
(x - λ)r, so the algebraic multiplicity is at
least as large as the geometric.
◂