Page 2: Cartesian Representation and Vector Addition

This page explores how vectors are represented in the Cartesian coordinate system and introduces vector addition methods. The Pythagorean theorem is applied to calculate vector magnitudes.

Example: The magnitude of a vector can be calculated using the formula |v| = √$vx² + vy²$, where vx and vy are the vector's components.

Definition: The parallelogram rule for vector addition involves drawing parallel lines to create a parallelogram, with the diagonal representing the resultant vector.

Highlight: Vector components are found by projecting the vector onto the coordinate axes.

Page 3: Vector Operations and Special Cases

This page details various cases of vector addition and introduces the polygon method for adding multiple vectors. Special attention is given to vectors with similar or different properties.

Example: When adding vectors with the same direction but different magnitudes, the resultant vector maintains the direction while combining the magnitudes.

Vocabulary:

• Versore: A unit vector with magnitude 1
• Poligono: The polygon method for vector addition

Highlight: The polygon method involves connecting vectors head-to-tail to find the resultant.

Page 4: Vector Subtraction

This section covers vector subtraction and its relationship to addition. The process involves adding the negative of a vector.

Definition: Vector subtraction a - b is equivalent to adding the negative of b to a: a - b = a + $-b$

Example: To subtract vectors, reverse the direction of the second vector and add it to the first using either the parallelogram or tip-to-tail method.

Page 5: Practical Exercises

This page provides practical examples of vector operations, particularly focusing on velocity vectors and force diagrams.

Example: A problem involving two velocity vectors: v1 = 80 km/h and v2 = 30 km/h, demonstrating both parallelogram and tip-to-tail methods.

Highlight: Multiple solution methods are shown for the same problem to reinforce understanding.

Page 6: Vector Decomposition and Trigonometry

The final page covers vector decomposition and trigonometric relationships in vector analysis.

Definition:

• Sine (sin): The ratio of the opposite side to the hypotenuse
• Cosine (cos): The ratio of the adjacent side to the hypotenuse

Vocabulary:

• Componenti: Vector components
• Scomposizione: Vector decomposition

Highlight: Vector components can be calculated using trigonometric functions: vx = |v|cosθ and vy = |v|sinθ

Page 1: Vector Fundamentals

This page introduces the fundamental concepts of vectors and scalar quantities in physics. The distinction between scalar and vector quantities is clearly explained, with vectors being characterized by four essential properties.

Definition: A vector quantity is defined by its magnitude (modulo), direction, orientation (verso), and point of application.

Vocabulary:

• Modulo: The magnitude or size of the vector
• Direzione: The line along which the vector lies
• Verso: The orientation or sense of the vector
• Punto di applicazione: The starting point or tail of the vector

Highlight: Vectors are represented as arrows with a tail (starting point) and head (endpoint), with a special notation using an arrow above the symbol.