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The same implications hold for the corresponding right notions.
The analysis is limited to 2D depth-averaged systems, but implications hold for 3D cases.
It is also possible that these implications hold for other biofilm forming bacteria.
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This implication holds for the following reasons.
We say that a Banach space is strictly convex if the following implication holds for : (2.1).
We say that E is strictly convex if the following implication holds for x, y ∈ E : ∥ x ∥ = ∥ y ∥ = 1, x ≠ y ⇒ ∥ x + y 2 ∥ < 1. (2.1).
strictly convex if the following implication holds for all x, y ∈ X : ∥ x ∥ = ∥ y ∥ = 1 and x ≠ y ⟹ ∥ x + y 2 ∥ < 1 ; uniformly convex if for each ϵ with 0 < ϵ ≤ 2, there exists δ > 0 such that the following implication holds for all x, y ∈ X : ∥ x ∥ ≤ 1, ∥ y ∥ ≤ 1 and ∥ x − y ∥ ≥ ϵ ⟹ ∥ x + y 2 ∥ < 1 − δ.
Then f ∈ C n. Proof (i) First, we will show that this implication holds for j 0 = 2. Letting F ( z ) = z f ′ ( z ), then f ∈ C n if and only if F ∈ S n ∗.
We say that a Banach space E is strictly convex if the following implication holds for x, y ∈ E : ∥ x ∥ = ∥ y ∥ = 1, x ≠ y ⇒ ∥ x + y 2 ∥ < 1. (2.1).
A Banach space X is said to be (i) strictly convex if the following implication holds for all x, y ∈ X : ∥ x ∥ = ∥ y ∥ = 1 and x ≠ y ⟹ ∥ x + y 2 ∥ < 1 ; (ii) uniformly convex if for each ϵ with 0 < ϵ ≤ 2, there exists δ > 0 such that the following implication holds for all x, y ∈ X : ∥ x ∥ ≤ 1, ∥ y ∥ ≤ 1 and ∥ x − y ∥ ≥ ϵ ⟹ ∥ x + y 2 ∥ < 1 − δ. .
For the problem of total Lagrange duality, one seeks conditions ensuring that the following implication holds for x 0 ∈ dom ( f − g ) ∩ A : [ f ( x 0 ) − g ( x 0 ) = min x ∈ A { f ( x ) − g ( x ) } ] ⟹ [ ∃ λ ∈ R + ( T ), ∀ w ∗ ∈ H ∗, L ( w ∗, λ ) = f ( x 0 ) − g ( x 0 ) ]. (1.9).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com