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Fourier series and Inner product space

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Fourier series and Inner product space

Fourier series vs. Inner product space

In mathematics, a Fourier series is a way to represent a function as the sum of simple sine waves. In linear algebra, an inner product space is a vector space with an additional structure called an inner product.

Similarities between Fourier series and Inner product space

Fourier series and Inner product space have 7 things in common (in Unionpedia): Basis (linear algebra), Cauchy–Schwarz inequality, Hilbert space, Quantum mechanics, Riemannian manifold, Stone–Weierstrass theorem, Trigonometric polynomial.

Basis (linear algebra)

In mathematics, a set of elements (vectors) in a vector space V is called a basis, or a set of, if the vectors are linearly independent and every vector in the vector space is a linear combination of this set.

Basis (linear algebra) and Fourier series · Basis (linear algebra) and Inner product space · See more »

Cauchy–Schwarz inequality

In mathematics, the Cauchy–Schwarz inequality, also known as the Cauchy–Bunyakovsky–Schwarz inequality, is a useful inequality encountered in many different settings, such as linear algebra, analysis, probability theory, vector algebra and other areas.

Cauchy–Schwarz inequality and Fourier series · Cauchy–Schwarz inequality and Inner product space · See more »

Hilbert space

The mathematical concept of a Hilbert space, named after David Hilbert, generalizes the notion of Euclidean space.

Fourier series and Hilbert space · Hilbert space and Inner product space · See more »

Quantum mechanics

Quantum mechanics (QM; also known as quantum physics, quantum theory, the wave mechanical model, or matrix mechanics), including quantum field theory, is a fundamental theory in physics which describes nature at the smallest scales of energy levels of atoms and subatomic particles.

Fourier series and Quantum mechanics · Inner product space and Quantum mechanics · See more »

Riemannian manifold

In differential geometry, a (smooth) Riemannian manifold or (smooth) Riemannian space (M,g) is a real, smooth manifold M equipped with an inner product g_p on the tangent space T_pM at each point p that varies smoothly from point to point in the sense that if X and Y are differentiable vector fields on M, then p \mapsto g_p(X(p),Y(p)) is a smooth function.

Fourier series and Riemannian manifold · Inner product space and Riemannian manifold · See more »

Stone–Weierstrass theorem

In mathematical analysis, the Weierstrass approximation theorem states that every continuous function defined on a closed interval can be uniformly approximated as closely as desired by a polynomial function.

Fourier series and Stone–Weierstrass theorem · Inner product space and Stone–Weierstrass theorem · See more »

Trigonometric polynomial

In the mathematical subfields of numerical analysis and mathematical analysis, a trigonometric polynomial is a finite linear combination of functions sin(nx) and cos(nx) with n taking on the values of one or more natural numbers.

Fourier series and Trigonometric polynomial · Inner product space and Trigonometric polynomial · See more »

The list above answers the following questions

Fourier series and Inner product space Comparison

Fourier series has 129 relations, while Inner product space has 106. As they have in common 7, the Jaccard index is 2.98% = 7 / (129 + 106).

References

This article shows the relationship between Fourier series and Inner product space. To access each article from which the information was extracted, please visit:

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