Appendix 1: Proof that lossy transmission lines are realistic
In this appendix, we prove that lossy transmission lines with frequency independent parameters are realistic.
Lemma A.1: The impedance matrix Z(s) and admittance matrix Y(s) of a transmission line with positive real Zl(s) and Yl(s) are positive real.
Proof: Let I1 and I2 be the currents entering each terminal of the transmission line and V1 and V2 be the potentials at each terminal. Let us write
Clearly the integrand is positive for ℜ(s)≥0, hence ℜ(V1I1ˉ+V2I2ˉ) is positive when ℜ(s)≥0. This in turn implies that both Y(s) and Z(s) are positive real.
∎
Theorem A.1: A transmission line for which R,L,G,C are strictly positive is realistic.
Proof: Let Z(s) be the impedance of the line shown in (4.4) and set λ=max{−R/L,−G/C}<0. As γ(s) and z0(s) are analytic and non-vanishing in the half-plane Πλ={s:ℜ(s)>λ}, and since moreover γ is never pure imaginary in Πλ, the matrix Z is analytic there. As det(Z(s))=z02, we get that Y=Z−1 is likewise analytic. From (A.1) and the symmetry of Z, Y, we observe that Z(s)+Z∗(s)=2ℜ(Z(s)) and Y(s)+Y∗(s)=2ℜ(Y(s)) are positive symmetric matrices in Πλ whose entries, being real parts of analytic functions, are harmonic functions of s. They are in fact positive definite at each s∈Πλ, as (A.1) implies if I1=x1+iy1 and I2=x2+iy2 are not both zero that
(for in this case ℜ(Zl(s))>0 and I(ξ) is not identically zero). We claim that
ℜ(Y(jω))≥αId for some α>0,(A.2)
and this will imply that (i) of Definition 3.1 is met. Indeed, if (A.2) holds and u∈R2 is a unit vector, the function −utℜ(Y)u is a nonpositive harmonic function in Π0 whose limit at every point of the imaginary axis exists and is at most −α, therefore −utℜ(Y)u is at most −α everywhere in Π0 by the extended maximum principle [37]. To prove (A.2), we may restrict to large ∣ω∣ because on any compact interval of the imaginary axis it certainly holds by strict positivity of ℜ(Y(jω)) and continuity of the latter with respect to ω. Without loss of generality, we choose the branch of the square root which is positive for positive arguments. In view of (4.4), we can write:
Since z0(jω)→L/C>0 when ω→±∞ and the matrix M in (A.3) is symmetric, it is enough to show that M(jω) is bounded and that the eigenvalues of ℜ(M(jω)) are greater than some δ>0 for ∣ω∣ large enough. Now, using the Taylor expansion of (1+x)1/2 at x∼0, we get
γ(jω)=LC(jω+2LCRC+GL+O(∣ω∣−1))
so that ℜ(γ(jω))≥κ=3LCRC+GL>0, say, for ∣ω∣ large enough. Then ∣e−2γ(jω)∣≤e−κ<1, hence M(jω) is bounded. To prove that the eigenvalues of ℜ(M(jω)) are greater than δ>0, we check that its trace and determinant are positive with det(ℜ(M(jω)))≥η>0 for ∣ω∣ large. Since the trace is bounded (recall M(jω) is bounded), we will be done. First, it is readily seen that
trℜ(M(jω))=2∣1−e−2γ∣21−e−4ℜ(γ(jω))
is indeed positive. Next, a short computation yields that