Tensors for Beginners 3: Vector Transformation Rules
TLDRThis video script delves into the concept of vector components and their transformation relative to basis vectors. It explains why vector components behave in the opposite way to basis vectors when they are scaled or rotated. The script uses examples to illustrate this 'contra-variant' behavior, where increasing the size of the basis makes the components shrink, and a rotation of the basis results in a counter-rotation of the components. It concludes with a discussion on the notation used for contra-variant vector components and a preview of upcoming content on covectors and tensors.
Takeaways
- π The script discusses the concept of vector components transforming in the opposite way compared to the change in basis vectors.
- π The example of increasing the size of the basis vectors by a factor of 2 demonstrates how vector components shrink by the same factor, maintaining the vector's invariant nature.
- π The script uses the analogy of 'measuring sticks' to explain why vector components appear to change size when the basis vectors are altered.
- π The rotation of the basis vectors is contrasted with the rotation of vector components, showing that as the basis rotates one way, the components rotate the opposite way.
- π The script provides a mathematical proof to show that moving from old to new components involves using the backward transformation, and vice versa for the forward transformation.
- π The summation notation is used to express the vector V in terms of both old and new basis vectors, highlighting the relationship between the two sets of components.
- π§ The concept of contra-variance is introduced, explaining that vector components are contra-variant tensors, which behave contrary to the basis vectors.
- π The script suggests a notation change for contra-variant components, placing the indices above the vector symbol to distinguish them from covariant basis indices.
- π€ It addresses potential confusion between upper indices and exponents, reassuring that in the context of tensors, upper indices are typically vector indices.
- π The video concludes with a teaser for upcoming content on covectors, another type of tensor, indicating a continuation of the discussion on tensor properties.
Q & A
Why do vector components transform in the opposite way compared to the basis vectors?
-Vector components transform oppositely to the basis vectors to maintain the invariance of the vector itself. When the basis vectors change size or orientation, the components adjust in the opposite direction to ensure the vector's representation remains consistent.
What happens to the components of a vector when the basis vectors are doubled in size?
-When the basis vectors are doubled in size, the components of the vector in the new basis are halved. This is because the larger basis vectors make the same vector appear smaller when measured in the new basis.
How does the rotation of the basis vectors affect the components of a vector?
-When the basis vectors are rotated, the components of the vector rotate in the opposite direction. This is because the vector itself does not move, but the angles it makes with the new basis vectors change, affecting the perceived orientation of the vector.
What is the significance of the vector being invariant when discussing transformations?
-The invariance of the vector means that its physical properties or its representation in space do not change, even though the basis vectors used to describe it do. This is crucial for maintaining the consistency of vector representations across different coordinate systems.
How can we express a vector V in terms of both old and new basis vectors?
-A vector V can be expressed as a linear combination of both old and new basis vectors, with the coefficients being the respective old and new components. This is represented by two summations that are equal to V.
What is the purpose of using forward and backward transformations in the context of basis vectors?
-Forward and backward transformations are used to convert between the old and new basis vectors, allowing us to express a vector in terms of either basis. They are essential for understanding how vectors and their components transform between different coordinate systems.
Why do we say that vector components are contra-variant?
-Vector components are said to be contra-variant because they change in the opposite way to the basis vectors. This behavior is a key characteristic of contra-variant tensors, which include vectors.
What is the difference between a covector and a vector?
-A covector is a type of tensor that is dual to a vector. While vectors transform contra-variantly with respect to changes in the basis, covectors transform co-variantly, meaning they change in the same way as the basis vectors.
Why are vector components written with indices above the V instead of below?
-Writing the indices above the V serves as a reminder that vector components are contra-variant. This notation distinguishes them from the basis indices, which are typically written below, and helps to visually represent their opposite transformation behavior.
How can we avoid confusion between upper indices and exponents in tensor notation?
-In tensor notation, upper indices are used to denote contra-variant components, while exponents are rarely used in tensor analysis. The context usually makes it clear whether an upper index represents a tensor index or an exponent, so confusion is minimal.
What is the next topic that will be discussed in the video series after vectors?
-After discussing vectors, the video series will move on to discuss covectors, which are another example of a tensor and have different transformation properties compared to vectors.
Outlines
π Understanding Vector Transformation
This paragraph delves into the concept of vector transformation relative to basis changes. The script explains how vector components transform in the opposite direction to the basis vectors when the basis is scaled or rotated. The example given involves scaling the basis vectors by a factor of 2, which results in the vector components shrinking by the same factor, illustrating the concept of invariance of the vector itself. Another example discusses the rotation of the basis vectors and how it affects the components' orientation, demonstrating the counter-intuitive behavior of the components rotating in the opposite direction to the basis. The paragraph concludes with a general understanding that vector components are contra-variant, meaning they change in the opposite way to the basis vectors, and introduces the idea of proving this behavior in any dimension.
π Contra-variant Vector Components and Tensor Notation
The second paragraph continues the discussion on vector components, focusing on their contra-variance and the notation used to represent them. It introduces the concept of contra-variant tensors and explains the significance of placing the vector component indices above the vector symbol, contrasting with the basis indices which are placed below. This notation serves as a reminder of their opposite behavior. The paragraph also addresses potential confusion with exponents but reassures that in the context of tensors, such confusion is unlikely. The summary concludes with a transition to the next topic, which is covectors, another type of tensor that will be discussed in subsequent videos.
Mindmap
Keywords
π‘Vector Components
π‘Basis Vectors
π‘Contravariance
π‘Tensors
π‘Coordinate System
π‘Linear Combination
π‘Transformation
π‘Invariant
π‘Indices
π‘Covectors
Highlights
Explains the mystery of vector components transforming oppositely to the old and new bases.
Illustrates the concept with an old basis 'e_1, e_2' and a vector 'V' with components [1, 1].
Demonstrates the effect of increasing the size of the basis vectors by a factor of 2, causing vector components to shrink.
Introduces the idea that the vector 'V' remains invariant even as the basis vectors change.
Provides an example of rotating the basis vectors and the resulting change in the components of the vector 'V'.
Clarifies that the vector 'V' appears to rotate counterclockwise when the basis rotates clockwise due to the change in angles.
Discusses the intuition behind the opposite behavior of basis vectors and vector components in 2D.
Proposes to prove the opposite behavior of vector components in any dimension.
Presents two ways of writing vector 'V' using old and new basis vectors and their respective components.
Shows the use of backward transformation to move from old components to new components.
Explains the forward transformation used to go from new components to old components.
Summarizes the formulas for understanding how basis vectors and vector components transform.
Introduces the term 'contra-variant' to describe the behavior of vector components.
Announces the upcoming discussion on covectors as another example of a tensor.
Suggests a change in notation for vector components to indicate their contra-variance by placing indices above the 'V'.
Addresses potential confusion between upper indices and exponents in tensor notation.
Transcripts
Browse More Related Video
Tensors Explained Intuitively: Covariant, Contravariant, Rank
Tensors for Beginners 6: Covector Transformation Rules
Tensors for Beginners 5: Covector Components (Contains diagram error; see description)
Tensors for Beginners 8: Linear Map Transformation Rules
Introduction to Tensors
Tensor Calculus 5: Derivative Transformation Rules (Contravariance)
5.0 / 5 (0 votes)
Thanks for rating: