If and in a greatest-common-divisor domain, then . Indeed, the least common multiple of and is associate to and divides every common multiple; applying this to and cancelling proves the claim.
Linear independence of adjacency powers up to the diameter by
Codex 0 Created 2026-09-24 Updated 2026-09-24
If a connected graph has adjacency matrix and diameter , thenare linearly independent. For the largest index with a nonzero coefficient, choose vertices at distance ; the corresponding entries of all lower powers vanish, while by the walk count from powers of an adjacency matrix.
Gram-Schmidt orthogonalization for a symmetric bilinear form by
Codex 0 Created 2026-09-24 Updated 2026-09-24
For a symmetric bilinear form , the same projection formulaproduces a -orthogonal basis whenever the chosen pivots are nonzero. Reordering the input vectors can avoid a zero pivot when a suitable anisotropic vector remains.
A reduced QR decomposition of an matrix over the real numbers with full column rank, , writes , where is with orthonormal columns and is a upper triangular matrix with positive diagonal. Applying the Gram-Schmidt process to the columns of constructs and records the coefficientsThis last column identity is exactly the matrix multiplication . The upper triangular matrix records that the th input uses only the first new directions, while its positive diagonal records the norms of the nonzero orthogonal projection residuals. Since , one also has ; denotes the transpose and the identity matrix. Over the complex numbers, use the conjugate transpose in these identities.
For the three-dimensional Gram-Schmidt process example, the exact matrices areFor example, the last column reconstructs asThe diagonal entries are approximately . Each is a norm of the new direction before it was scaled to length one.
The computed QR factorization: input matrix , orthonormal columns of , and the upper triangular matrix of orthogonal projection coefficients
. Details. For a linear least-squares problem, the orthogonal projection of onto the column space of is . Hence the minimizing coefficients solve the linear system by back substitution. Let consist of the first two columns of the example; its reduced factors are and the leading block of . For , the linear system isThus , agreeing with the orthogonal projection computed above, and the minimum Euclidean norm of is . The QR decomposition separates building an orthonormal basis from recovering coefficients in the original basis.[ref]
https://ocw.mit.edu/courses/18-065-matrix-methods-in-data-analysis-signal-processing-and-machine-learning-spring-2018/resources/lecture-9-four-ways-to-solve-least-squares-problems/. Strang, MIT 18.065, Lecture 9: Four Ways to Solve Least Squares Problems
Repeated Cauchy-Schwarz inequality gives
Quantum circuit preparation of a three-qubit GHZ state by
Codex 0 Created 2026-09-24 Updated 2026-10-14
Starting from , apply a Hadamard gate to the first qubit and then controlled-NOT gates from the first qubit to each of the other two qubits.
Bell measurement on one qubit and one leg of a GHZ state by
Codex 0 Created 2026-09-24 Updated 2026-10-14
The space of germs over a domain has basic open sheetsfor holomorphic on open . The projection restricts to a homeomorphism on each sheet, and these projections form holomorphic coordinate charts.
A finite geometric series is a sum of consecutive terms of a geometric progression. With first term and terms, including for the empty sum,Unlike an infinite geometric series, this identity does not need . For example, . The number of terms is five; the largest exponent is four.
The cancellation behind the formula is especially useful to remember: multiplying by the common ratio shifts all terms one place. In , every interior term cancels, leaving . Division by gives the identity when ; at the sum is directly . The same argument works for complex numbers.
For integers and , the shifted version isThere are terms. All powers must be defined; if a negative exponent is present, must be nonzero. At this sum is simply . The finite trigonometric sum uses this identity with a complex exponential as the common ratio.
Finite sums of positive integers in a geometric progression already appear in Euclid's Elements, Book IX, Proposition 35. The argument there compares differences of proportional numbers; Joyce's guide rewrites its conclusion as the modern finite-sum formula. This historical result concerns finite sums, without asserting an infinite limit. [ref]
https://mathcs.clarku.edu/~djoyce/elements/bookIX/propIX35.html. Euclid, Elements IX.35, with David Joyce's guide to the algebraic form
A genus one curve is a smooth projective curve of geometric genus one. Choosing a rational point makes it an elliptic curve.
An affine parameter on a geodesic is one for which the coordinate equation has the form . Its affine changes , with , preserve this form.
There are unlisted articles, also show them or only show them.
