Section II.1.3

Dual space

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Problem II.1.3.1

As easily follows from the definition (see Exercise 1 from § 1), the trace function tr⁡:X↦tr⁡X\operatorname {tr}: X \mapsto \operatorname {tr} X is linear on the space V=Mn(K)V=M_{n}(\mathfrak {K}) of all square matrices of order nn over the field K\mathfrak {K}. Prove that every linear function ff on VV has the form f(X)=tr⁡AXf(X)=\operatorname {tr} A X, where the matrix A=AfA=A_{f} is uniquely determined.

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Problem II.1.3.2

Let a(t)a(t) be a fixed polynomial from R[t],Pn\mathbb {R}{}[t], P_{n} the subspace of real polynomials of degree ⩽n−1\leqslant n-1. Consider the following functions on PnP_{n}:

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(a)

f(u)=∫−11a(t)u(t)dt,u(t)∈Pnf(u)=\int_{-1}^{1} a(t) u(t) d t, \quad u(t) \in P_{n};

(b)

f(u)=∫01a(t)u(t2)dtf(u)=\int_{0}^{1} a(t) u\left(t^{2}\right) d t;

(c)

f(u)=∫01a(t)[u(t)]2dtf(u)=\int_{0}^{1} a(t)[u(t)]^{2} d t;

(d)

f(u)=d3dt3∣t=−1f(u)=\left.\frac{d^{3}}{d t^{3}}\right|_{t=-1}.

Which of these functions are linear on PnP_{n}?

Problem II.1.3.3

Let VV be a vector space, and let functions f,g∈V∗f, g \in V^{*} be such that Ker⁡f=Ker⁡g\operatorname {Ker} f=\operatorname {Ker} g. Prove that then g=λfg=\lambda f for some scalar λ\lambda.

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Problem II.1.3.4

Let x\mathbf{x} be a nonzero vector of the space VV. Is the function f∈V∗f \in V^{*} uniquely determined by the condition f(x)=1f(\mathbf{x})=1?

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Problem II.1.3.5

Prove that for every nonzero linear function ff on an nn-dimensional vector space VV over K\mathfrak {K} there exists a basis (e1,…,en)\left(\mathbf{e}_{1}, \ldots , \mathbf{e}_{n}\right) of the space VV such that

f(α1e1+…+αnen)=αi∀αi∈K. f\left(\alpha _{1} \mathbf{e}_{1}+\ldots +\alpha _{n} \mathbf{e}_{n}\right)=\alpha _{i} \quad \forall \alpha _{i} \in \mathfrak {K}.
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