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The phrase "a unique solution of the initial" is not entirely correct in English as it seems to be missing a noun after "initial." You can use it in contexts related to mathematics or problem-solving, specifically when discussing initial conditions or problems that have a unique solution.
Example: "In this differential equation, we are looking for a unique solution of the initial value problem."
Alternatives: "a unique solution to the initial" or "a unique solution for the initial".
Exact(3)
Then there exists a unique solution of the initial value problem left.
It is clear that there exists a unique solution of the initial value problem a u k − 1 − c u k + b u k + 1 = φ k, 1 ≤ k ≤ N − 1, u 0 = φ, u 1 = ψ (47).
Then there exists a unique solution of the initial value problem D q, ω x i ( t ) = f i ( t, x 1 ( t ), x 2 ( t ), …, x n ( t ) ), 1 ≤ i ≤ n, t ∈ I, x i = y i ∈ X. } (4.6).
Similar(57)
By assumption (H6), r∗<1; therefore, the operator T is a contraction in B. Hence, by Theorem 2.10 the operator T has a unique fixed point, which corresponds to the unique solution of the initial value problem (1) and (2).
Theorem 2.1 Suppose that ϕ : [ 0, 1 ] → R is a continuous function and let x ϕ be the unique solution of the initial value problem (1.1) and (1.2).
and is the unique solution of the initial value problem (24), (25) with Ξ given by (26).
If and fix, then the exponential function is for the unique solution of the initial value problem (2.2).
Based on proofs of the unique solution of the initial value problem, which is dependent continuously on all variables, we get the continuity of normalized eigenfunctions.
Let with, for all, then the delta exponential function is defined as the unique solution of the initial value problem (1.3).
For (epsilon >0) denote by (u_epsilon in C^2(Omega times (0,T cap C^1(bar{Omega }times (0,T))) the non-negative unique solution of the initial value problem (8.6).
Then the nabla exponential function e p ( ⋅, t 0 ) is the unique solution of the initial value problem y ∇ = p ( t ) y, y ( t 0 ) = 1.
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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