linear algebra, higher linear algebra
(…)
An inner product on a vector space (also “scalar product” in the sense of: with values in “scalars”, namely in the ground field ) is a pairing of vectors to scalars
which is bilinear or rather – namely if is understood with a star-involution (such as the complex numbers under complex conjugation) – sesquilinear, in which case one also speaks of a Hermitian inner product, for definiteness.
Often one requires such a pairing to be non-degenerate or even positive-definite in order to qualify as an inner product, standard conventions depend on context.
For example, the (Hermitian) inner product on a Hilbert space is required to be positive definite, as is that on tangent spaces in Riemannian geometry, but the inner product on tangent spaces in pseudo-Riemannian geometry is only required to be non-degenerate.
The group of automorphisms of an inner product space is the orthogonal group of an inner product space.
Let be a vector space over the field (or more generally a ring) . Suppose that is equipped with an involution , called conjugation; in many examples, this will simply be the identity function, but not always (for the complex numbers one typically consider the involution by complex conjugation).
Then a (Hermitian) inner product on is a function
that is (1–3) sesquilinear (or bilinear when the involution is the identity) and (4) conjugate-symmetric (or symmetric when the involution is the identity). That is:
Here we use the physicist's convention that the inner product is antilinear (= conjugate-linear) in the first variable rather than in the second, rather than the mathematician's convention, which is the reverse.
Note that we use the same ring as values of the inner product as for scalars, and that is written with on the right for the case that we deal with noncommutative division ring.
Are the two conventions really equivalent when is noncommutative? —Toby
(The axiom list above is rather redundant. First of all, (1) follows from (3) by setting ; besides that, (1–3) come in pairs, only one of which is needed, since each half follows from the other using (4). It is even possible to derive (3) from (2) under some circumstances.)
An inner product space is simply a vector space equipped with an inner product.
We define a function by ; this is called the norm of . As the notation suggests, it is common to take the norm of to be the square root of this expression in contexts where that makes sense, but for us is an atomic symbol. The norm of is real in that it equals its own conjugate, by (4).
Notice that, by (1), for all . In fact, the subset is a linear subspace of . Of course, we also have , but may not be a subspace. These observations motivate some possible conditions on the inner product:
(In constructive mathematics, we usually want an inequality relation relative to which the vector-space operations and the inner product are strongly extensional, to make sense of the conditions with in them. We can also use contrapositives to put in the other conditions, which makes them stronger if the inequality relation is tight.)
An inner product is definite iff it's both semidefinite and nondegenerate. Semidefinite inner products behave very much like definite ones; you can mod out by the elements with norm to get a quotient space with a definite inner product. In a similar way, every inner product space has a nondegenerate quotient.
Now suppose that is equipped with a partial order. (Note that the complex numbers are standardly so equipped, with iff is a nonnegative real.) Then we can consider other conditions on the inner product:
In this case, we have these theorems:
Negative (semi)definite inner products behave very much like positive (semi)definite ones; you can turn one into the other by multiplying all inner products by .
The study of positive definite inner product spaces (hence essentially of all semidefinite inner product spaces over partially ordered fields) is essentially the study of Hilbert spaces. (For Hilbert spaces, one usually uses a topological field, typically , and requires a completeness condition, but this does not effect the algebraic properties much.) The study of indefinite inner product spaces is very different; see the English Wikipedia article on Krein space?s for some of it.
All of this definiteness terminology may now be applied to an operator on , since is another inner product (on , if necessary). See positive operator.
Hilbert spaces (over ), for example ;
Finite-dimensional modules over , the quaternions.
semisimple Lie algebras with the negative of the Killing form are positive-definite inner product spaces.
Original discussion of Hermitian inner products in the context of defining Hilbert spaces (as mathematical foundations of quantum mechanics):
John von Neumann, p. 64 in: Allgemeine Eigenwerttheorie Hermitescher Funktionaloperatoren, Math. Ann. 102 (1930) 49–131 [doi:10.1007/BF01782338]
p. 21 in: Mathematische Grundlagen der Quantenmechanik, Springer (1932, 1971) [doi:10.1007/978-3-642-96048-2]
pp. 38 in: Mathematical Foundations of Quantum Mechanics Princeton University Press (1955) [doi:10.1515/9781400889921, Wikipedia entry]
Textbook accounts in the context of operator algebra:
Richard V. Kadison, John R. Ringrose, §2.1 in: Fundamentals of the theory of operator algebras Vol I Elementary Theory, Graduate Studies in Mathematics 15, AMS (1997) [ISBN:978-0-8218-0819-1]
Bruce Blackadar, §I.1.1 in: Operator Algebras – Theory of -Algebras and von Neumann Algebras, Encyclopaedia of Mathematical Sciences 122, Springer (2006) [doi:10.1007/3-540-28517-2]
Discussion of plain inner products (without star-involution) in terms of self-dual objects in suitable symmetric monoidal categories:
Last revised on May 20, 2024 at 08:08:11. See the history of this page for a list of all contributions to it.