2022
DOI: 10.1007/s40574-022-00328-6
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A Lanczos-like method for non-autonomous linear ordinary differential equations

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Cited by 7 publications
(7 citation statements)
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“…The new method was numerically analyzed in the scalar case. The scalar analysis is a fundamental step toward understanding the more general case of systems of non-autonomous linear ODEs [12,19]. In fact, the authors are developing a method for this more general case whose analysis and understanding will be built on the crucial results presented here.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…The new method was numerically analyzed in the scalar case. The scalar analysis is a fundamental step toward understanding the more general case of systems of non-autonomous linear ODEs [12,19]. In fact, the authors are developing a method for this more general case whose analysis and understanding will be built on the crucial results presented here.…”
Section: Discussionmentioning
confidence: 99%
“…While such large problems will not be considered in this paper, the numerical approach presented here has the ambition to provide a new framework for tackling these challenging problems. This numerical framework arises from a recently developed analytical framework [9,10,12] in which the solution of (1.1) is given by a simple expression. When Ã(τ 1 ) Ã(τ 2 ) = Ã(τ 2 ) Ã(τ 1 ) for every τ 1 , τ 2 ∈ [−1, 1], Ũ (t) can be expressed in the explicit form: Ũ (t) = exp t s Ã(τ ) dτ .…”
mentioning
confidence: 99%
“…The matrix-valued function U (t, s) in ( 2) is composed of elements from C ∞ Θ (I). Therefore, we can define the related coefficient matrix U M as in (8). Then, expression (4) can be approximated by…”
Section: Solution Of An Ode By the ⋆-Productmentioning
confidence: 99%
“…At the heart of the new method for solving (1) is a non-commutative convolution-like product, denoted by ⋆, defined between certain distributions [3]. Thanks to this product, the solution of (1) can be expressed through the ⋆-product inverse and its formulation as a sequence of integrals and differential equations; see [4][5][6][7][8]. In [2], we illustrated that, by discretizing the ⋆-product with orthogonal functions, the solution of a scalar ODE is accessible by solving a linear system.…”
Section: Introductionmentioning
confidence: 99%
“…However, this requires solving an NP-hard problem. In [7][8][9], the NP-hard problem is overcome by introducing the -Lanczos method, a constructive method able to tridiagonalize Ã(t). At the heart of both the path-sum and -Lanczos method is a non-commutative convolution-like product, denoted by , defined between certain distributions [12].…”
Section: Introductionmentioning
confidence: 99%