Download PDF by Michael W. Frazier: An Introduction to Wavelets Through Linear Algebra

By Michael W. Frazier

ISBN-10: 0387986391

ISBN-13: 9780387986395

This article used to be initially written for a "Capstone" direction at Michigan kingdom college. A Capstone path is meant for undergraduate arithmetic majors, as one of many ultimate classes taken of their undergraduate curriculum. Its goal is to compile varied issues lined within the undergraduate curriculum and introduce scholars to present advancements in arithmetic and their functions. uncomplicated wavelet thought appears to be like an ideal subject for this sort of path. As a subject matter, it dates again basically to 1985. on the grounds that then there was an explosion of wavelet study, either natural and utilized. Wavelet conception is at the boundary among arithmetic and engineering. particularly it's a strong subject for demonstrating to scholars that arithmetic study is flourishing within the modern-day: scholars can see non-trivial arithmetic rules resulting in normal and critical functions, corresponding to video compression and the numerical resolution of differential equations. the single must haves assumed are a uncomplicated linear algebra history and slightly research historical past. this article is meant to be as basic an advent to wavelet idea as attainable. it's not meant as a radical or authoritative reference on wavelet idea.

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Additional info for An Introduction to Wavelets Through Linear Algebra (Undergraduate Texts in Mathematics)

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Hence uk ∈ span{v1 , . . , vn−1 }. By pn−1 , the induction assumption, u1 , u2 , . . , un are linearly dependent. Show that this implies that w1 , . . , wn+1 are linearly dependent. 13. 40. 12. 14. Let R be a basis for a finite dimensional vector space V over a field F. Prove that: i. [u + v]R [u]R + [v]R for all u, v ∈ V; ii. [αv]R α[v]R for all α ∈ F and v ∈ V. 15. Suppose V is a finite dimensional vector space over C with basis R. Let v1 , v2 , . . , vm be elements of V. Prove that the set {v1 , v2 , .

6). In any case, the following definition makes sense. 21 sin z ∞ n 0 (−1)n For all z ∈ C, let z 2n+1 , cos z (2n + 1)! ∞ n 0 (−1)n z 2n , and ez (2n)! ∞ n zn . n! 7) 20 1. 7) agree. 21 extends the usual sine, cosine, and exponential functions to all of C. 6) continue to hold in the complex case. 8) for all z ∈ C. 7) leads to Euler’s formula, a very elegant and useful identity. 22 (Euler’s formula) For every z ∈ C, eiz cos z + i sin z. 7) with iz in place of z and collect the even and odd powers of z: eiz (iz)2 (iz)3 (iz)4 (iz)5 (iz)6 + + + + + ··· 2 3!

Vn are linearly dependent, prove that u ∈ span{v1 , v2 , . . , vn }. 10. Suppose V is an n-dimensional vector space, k ≤ n, and {v1 , v2 , . . , vk } is a linearly independent set in V. Show that there exist vk+1 , . . , vn in V so that {v1 , v2 , . . , vn } is a basis for V. ) Hint: If k n, span{v1 , v2 , . . , vk } V. So there exists vk+1 ∈ V \ span{v1 , v2 , . . , vk }. 9(ii), the set {v1 , . . , vk , vk+1 } is linearly independent. Continue in this fashion. 11. 38. 12. Suppose n + 1 vectors belong to the span of n vectors, say wj ∈ span {v1 , v2 , .

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An Introduction to Wavelets Through Linear Algebra (Undergraduate Texts in Mathematics) by Michael W. Frazier

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