Introduction to Smooth Manifolds¶
Lee, J. M. (2013). Introduction to Smooth Manifolds. Springer.
Cited by¶
12 citations across 12 artifacts.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Coordinate-free
- Embedding
- The payoff is inheritance of host machinery: \(\mathbb{R}^{2n}\) carries the entire apparatus of multivariable calculus — gradients, integrals, the Euclidean metric — none of which the abstract manifold had natively.
This sourceStandard text establishing that a smoothly embedded submanifold inherits the ambient Euclidean apparatus — tangent vectors as derivatives, integration, the induced metric.
Supported in partVerified against the publisher's abstract
Lee's abstract shows a graduate text whose scope includes embedded submanifolds, tangent vectors and tensors — the general framework — but it does not state that an embedded submanifold inherits gradients, integrals or a Euclidean metric.
“Its goal is to familiarize students with the tools they will need in order to use manifolds in mathematical or scientific research--- smooth structures, tangent vectors and covectors, vector bundles, immersed and embedded submanifolds, tensors, differential forms, de Rham cohomology”
- The payoff is inheritance of host machinery: \(\mathbb{R}^{2n}\) carries the entire apparatus of multivariable calculus — gradients, integrals, the Euclidean metric — none of which the abstract manifold had natively.
- Neighborhood
- A topological manifold is a space in which every point has a neighborhood homeomorphic to ordinary flat Euclidean space.
This sourceStandard reference: a manifold is a space in which every point has a neighborhood homeomorphic to flat Euclidean space, charts are local windows, transition maps are the glue condition, and the impossibility of a single global chart (e.g. for the sphere) is a gluing obstruction.
- A topological manifold is a space in which every point has a neighborhood homeomorphic to ordinary flat Euclidean space.
Domain-specific¶
- Collar neighbourhood
- Differential Structure
- Double (manifold)
- Listed in the references but not attached to a specific claim.
- Integral curve
- Interior
- Point-set topology — the home setting: the interior operator and its Kuratowski axioms, the exhaustive interior/boundary/exterior partition, and the closure relation A̅ = A° ∪ ∂A, the interior operator itself characterizing a topology. Real analysis — robust membership: interior points admitting a full-dimensional neighborhood, distinguished from boundary points where every neighborhood reaches the complement. Convex analysis — the relative interior: taken within a set's affine hull and guaranteed non-empty for a convex set, underwriting separation and duality theorems. Mathematical optimization — the toolkit selector: an interior optimum governed by unconstrained stationarity ∇f(x) = 0, a boundary optimum by Lagrange multipliers and KKT, and interior-point methods (logarithmic-barrier, primal-dual) navigating the relative interior to beat the simplex method's boundary traversal. Differential geometry — manifolds with boundary: the interior as the locus of points with Euclidean-neighborhood charts, distinct from the boundary stratum
This sourceLee's Introduction to Smooth Manifolds, which defines the interior Int M of a manifold with boundary as the set of its interior points, distinct from the boundary ∂M.
Supported in partVerified against the work's full text
“similarly, its [interior], the set of all its [interior] points, is denoted by Int M.”
- Point-set topology — the home setting: the interior operator and its Kuratowski axioms, the exhaustive interior/boundary/exterior partition, and the closure relation A̅ = A° ∪ ∂A, the interior operator itself characterizing a topology. Real analysis — robust membership: interior points admitting a full-dimensional neighborhood, distinguished from boundary points where every neighborhood reaches the complement. Convex analysis — the relative interior: taken within a set's affine hull and guaranteed non-empty for a convex set, underwriting separation and duality theorems. Mathematical optimization — the toolkit selector: an interior optimum governed by unconstrained stationarity ∇f(x) = 0, a boundary optimum by Lagrange multipliers and KKT, and interior-point methods (logarithmic-barrier, primal-dual) navigating the relative interior to beat the simplex method's boundary traversal. Differential geometry — manifolds with boundary: the interior as the locus of points with Euclidean-neighborhood charts, distinct from the boundary stratum
- Local diffeomorphism
- One-form
- Tangent bundle
- Transport of Structure
Verification¶
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Does it back the claim? Read against the text for 2 of 12 citations: 2 supported in part. Each verdict is shown under its citation below, with what in the work backs the sentence.
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