Skip to main content

Linear Spaces, Vectors, and Tensors

  • Chapter
  • First Online:
A Primer in Tensor Analysis and Relativity

Part of the book series: Undergraduate Lecture Notes in Physics ((ULNP))

  • 2576 Accesses

Abstract

In this chapter, we shall introduce and discuss some necessary basic notions, which mainly belong to Analytic Geometry and Linear Algebra. We assume that the reader is already familiar with these disciplines, so our introduction will be brief.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    The elements of linear spaces are conventionally called “vectors”. In the subsequent sections of this chapter, we will introduce another definition of vectors and also definition of tensors. It is important to remember that in the sense of this definition, all vectors and tensors are elements of some linear spaces and, therefore, are all “vectors”. For this reason, starting from the next section, we will avoid using the word “vector” when it means an element of arbitrary linear space.

  2. 2.

    In case where the matrix elements are allowed to be complex, the matrix that satisfies the property \(U^\dagger =U^{-1}\) is called unitary. The operation \(U^\dagger \) is called Hermitian conjugation and consists of complex conjugation plus transposition \(U^\dagger =(U^*)^T\).

  3. 3.

    One can prove that it is always possible to replace the rotation of the rigid body around an arbitrary axis by performing the sequence of particular rotations \(\,\hat{\wedge }_{z}(\alpha )\, \hat{\wedge }_{y}(\beta )\,\hat{\wedge }_{z}(-\alpha )\,\,\). The proof can be done using the Euler angles (see, e.g., [1, 2]).

  4. 4.

    In the second part of the book, we shall see that this is the Lorentz transformation in special relativity in the units \(c=1\).

References

  1. L.D. Landau, E.M. Lifshits, Mechanics—Course of Theoretical Physics, vol. 1 (Butterworth-Heinemann, 1976)

    Google Scholar 

  2. J.J. Sakurai, Modern Quantum Mechanics (Addison-Wesley Pub Co., 1994)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ilya L. Shapiro .

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Shapiro, I.L. (2019). Linear Spaces, Vectors, and Tensors. In: A Primer in Tensor Analysis and Relativity. Undergraduate Lecture Notes in Physics. Springer, Cham. https://doi.org/10.1007/978-3-030-26895-4_1

Download citation

Publish with us

Policies and ethics