L^2 space #
If E is an inner product space over 𝕜 (ℝ or ℂ), then Lp E 2 μ
(defined in Mathlib/MeasureTheory/Function/LpSpace.lean)
is also an inner product space, with inner product defined as inner f g := ∫ a, ⟪f a, g a⟫ ∂μ.
Main results #
mem_L1_inner: forfandginLp E 2 μ, the pointwise inner productfun x ↦ ⟪f x, g x⟫belongs toLp 𝕜 1 μ.integrable_inner: forfandginLp E 2 μ, the pointwise inner productfun x ↦ ⟪f x, g x⟫is integrable.L2.innerProductSpace:Lp E 2 μis an inner product space.
Equations
- MeasureTheory.L2.instInnerSubtypeAEEqFunMemAddSubgroupLpOfNatENNReal = { inner := fun (f g : ↥(MeasureTheory.Lp E 2 μ)) => ∫ (a : α), inner 𝕜 (↑↑f a) (↑↑g a) ∂μ }
Alias of _private.Mathlib.MeasureTheory.Function.L2Space.0.MeasureTheory.L2.norm_sq_eq_re_inner.
Equations
- One or more equations did not get rendered due to their size.
The inner product in L2 of the indicator of a set indicatorConstLp 2 hs hμs c and f is
equal to the integral of the inner product over s: ∫ x in s, ⟪c, f x⟫ ∂μ.
The inner product in L2 of the indicator of a set indicatorConstLp 2 hs hμs c and f is
equal to the inner product of the constant c and the integral of f over s.
The inner product in L2 of the indicator of a set indicatorConstLp 2 hs hμs (1 : 𝕜) and
a real or complex function f is equal to the integral of f over s.
The inner product in L2 of two indicatorConstLps, i.e. functions which are constant a : E
and b : E on measurable s t : Set α with finite measure, respectively, is ⟪a, b⟫ times the
measure of s ∩ t.
The inner product in L2 of indicators of two sets with finite measure
is the measure of the intersection.
For bounded continuous functions f, g on a finite-measure topological space α, the L^2
inner product is the integral of their pointwise inner product.
For continuous functions f, g on a compact, finite-measure topological space α, the L^2
inner product is the integral of their pointwise inner product.