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Download e-book for iPad: Course of Linear Algebra and Multidimensional Geometry by Sharipov R.A.

By Sharipov R.A.

ISBN-10: 5747700995

ISBN-13: 9785747700994

This ebook is written as a textbook for the process multidimensional geometryand linear algebra. At Mathematical division of Bashkir nation college thiscourse is taught to the 1st yr scholars within the Spring semester. it's a half ofthe simple mathematical schooling. consequently, this path is taught at actual andMathematical Departments in all Universities of Russia.

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Extra resources for Course of Linear Algebra and Multidimensional Geometry

Sample text

2 again). The third proposition is proved. This completes the proof of the theorem in whole. Let a ∈ ClU (b). This condition establishes some kind of dependence between two vectors a and b. This dependence is not strict: the condition a ∈ ClU (b) does not exclude the possibility that a′ ∈ ClU (b) for some other vector a′ . Such non-strict dependences in mathematics are described by the concept of binary relation (see details in [1] and [4]). Let’s write a ∼ b as an abbreviation for a ∈ ClU (b).

Hm : n m y = f (x) = j=1 i=1 Fji xj · hi . Due to the uniqueness of such expansion for the coordinates of the vector y in the basis h1 , . . , hm we get the following formula: n Fji xj . 4) is the basic application of the matrix of a linear mapping. It is used for calculating the coordinates of the vector f (x) through the coordinates of x. In matrix form this formula is written as y1 .. y m = F11 .. F1m ... Fn1 .. ... . Fnm x1 · ... 5) § 9. THE MATRIX OF A LINEAR MAPPING. 5). Denote by ψ˜ : W → Km the analogous mapping for a vector y in W .

Let’s verify the axioms of a linear vector space for the set of mappings Map(V, W ). In the case of the first axiom we should verify the coincidence of the mappings f + g and g + f . Remember that the coincidence of two mappings is equivalent to the coincidence of their values when applied to an arbitrary vector v ∈ V . The following calculations establish the latter coincidence: (f + g)(v) = f (v) + g(v) = g(v) + f (v) = (g + f )(v). 46 CHAPTER I. LINEAR VECTOR SPACES AND LINEAR MAPPINGS. As we see in the above calculations, the equality f + g = g + f follows from the commutativity axiom for the addition of vectors in W due to pointwise nature of the addition of mappings.

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Course of Linear Algebra and Multidimensional Geometry by Sharipov R.A.

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