Unverified50% confidenceFactExact time
The magnitude of the spectral truncation error is jointly determined by the Sobolev smoothness of the function and the truncation order; the smoother the function, the faster the high-frequency decay and the smaller the truncation error.
1
Sources
50%
Confidence
Long-term
Relevance
10/12/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe deconvolution problem can be formulated as a division operation in the frequency domain, and its difficulty depends on the decay rate of the characteristic function of the error distribution72% similarUnverifiedLow-rank decomposition and quantization compression are orthogonally complementary dimensions; quantizing the smaller matrices A and B separately results in smaller errors, and the combined compression ratio can reach several times that of either method alone71% similarUnverifiedWhen the spectral radius of the combined operator is less than 1, the iterative process converges stably to a fixed point.71% similarUnverifiedThe convergence rate of reversible Markov processes is often limited by the spectral gap.69% similarUnverifiedThe choice of rank r is a trade-off between accuracy and efficiency: the smaller the r, the higher the compression ratio but the larger the approximation error.69% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1001367API
curl https://kongchang.com/api/v1/knowledge/claims/1001367MCP
get_claim(id=1001367)