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First, we measured the mean error of parameter sets when compared to the data for each multiplicity of infection independently; we asked if performance at one MOI predicted performance at the other two.
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For each, algebraic multiplicity of is equal to 1, and the corresponding eigenfunction has exactly simple zeros in.
Suppose the window consists of N d distinct weights w i,i=1,…,N d, each with multiplicity n = N N d.
By matrix theory, A has T eigenvalues λ 0, λ 1, …, λ T − 1, each of multiplicity m.
In particular, it is proved that the positive-real characteristic values πj of G(F s)) are the same of G(s) each with multiplicity nF, independently from the choice of F s).
which is a diagonal matrix with two eigenvalues 1 and 2 each of multiplicity 3. Obviously, the characteristic and the minimal polynomials are factorized as (z−1)3(z−2)3 and (z−1)(z−2), respectively.
And since the covariance matrix (boldsymbol {R}_{widetilde u}) is given by (alpha ^{2} boldsymbol {M} otimes boldsymbol {I}_{2N_{t}}), it follows that (boldsymbol {R}_{widetilde u}) has also N eigenvalues τ 1, τ 2,…, τ N each of multiplicity 2N t and eigenvalue 0 of multiplicity 2NN t.
Finally, let us A be set as the Jordan matrix with complex eigenvalues 2+i and 2−i each of multiplicity 2 and distinct real eigenvalues 1 and 2, namely, begin{array}{*{20}l} A=left(begin{array}{cccccc} 2+i & 1 & & & & & 2+i & & & & & & 2-i & 1 & & & & & 2-i & & & & & & 2 & & & & & & 1 end{array} right) inmathbb{C}^{6times 6}, end{array}. in this procedure.
Assume that F : R 2 n × R ⟶ R 2 n. and that ( D F ) ( 0, 0 ) has eigenvalues e ± 2 π i θ, each with multiplicity n, where θ ≠ 0, 1 2. Denote by S P T the subspace of P T consisting of all T-periodic solutions of the map.
Cells were infected with each MOI (multiplicity of infection; PFU/cell).
Each such multiplicity was resolved as described previously [ 18, 20].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com