We can move in many ways. 
How do we find a spot? 
How many ways can you move? 
A flat surface is two-dimensional. You need two numbers to find a spot. For example, you use latitude and longitude to find a place on a sphere.
Some math ideas go much higher. A tesseract is a shape with four dimensions. Scientists also use many more. Superstring theory uses ten dimensions. M-theory uses eleven dimensions.
Dimension is not just for physical objects. It is also used for abstract math spaces. Some of these spaces are infinite. This means they have no end to their dimensions. People began studying these higher shapes in the 1800s. Mathematicians like Bernhard Riemann helped build these big ideas.
Imagine you are trying to find a specific spot in the world. 
Math tells us that dimension is about how many pieces of information we need.
People have studied these ideas for a long time. The idea of higher dimensions goes back to René Descartes. However, the real study of higher-dimensional geometry grew in the 1800s. 
There are many different types of dimensions in science. 
Dimension is not just for things you can touch. 
In mathematics and physics, dimension is a fundamental way to describe space and objects. It is informally defined as the minimum number of coordinates needed to specify any point within a mathematical space.
Mathematically, dimension can be viewed as the degrees of freedom for a moving point. This refers to the number of independent parameters or coordinates required to define a point's position while it is constrained to an object. 
There are several ways to define dimension depending on the mathematical context. In vector spaces, the dimension is the number of vectors in any basis, often called the Hamel or algebraic dimension. For manifolds, which are spaces that look like Euclidean space on a small scale, the dimension is uniquely defined. In geometric topology, mathematicians study how dimensions 1 and 2 are relatively simple. However, dimensions 4 and 5 can be very difficult to work with. This difficulty was clearly seen during the different proof methods used for the Poincaré conjecture.
History shows that our understanding of higher dimensions has grown significantly over time. The concept of higher dimensions traces back to René Descartes. However, substantial development in higher-dimensional geometry did not begin until the 19th century. In 1843, William Rowan Hamilton discovered quaternions, and John T. Graves discovered octonions. These were major steps in expanding mathematical thought. Later, Ludwig Schläfli published his work on many-fold continuity in 1852. Bernhard Riemann also contributed greatly with his 1854 Habilitationsschrift. These thinkers allowed math to move far beyond simple 3D shapes.
In the field of physics, dimension is used to describe the structure of the universe. Classical mechanics originally viewed space and time as separate, absolute categories. This created a four-dimensional view of the world. However, the study of electromagnetism required a different approach. Modern physics uses the concept of spacetime, which consists of four dimensions. In this view, events are not defined by absolute space and time. Instead, they are known relative to the motion of an observer. Minkowski space provides an approximation of the universe without gravity. To include matter and gravity, scientists use the pseudo-Riemannian manifolds of general relativity.
Advanced physical theories often require even more dimensions to function. Superstring theory uses ten dimensions, which includes six dimensions of hyperspace plus four dimensions of spacetime. 
Dimension is also used to study complex and irregular shapes. In algebra, the dimension of an algebraic variety can be found by looking at its tangent space. Another way is to count how many hyperplanes are needed to intersect the variety until only a finite number of points remain. In topology, the Lebesgue covering dimension is defined by how many elements of an open cover overlap at any point. For very irregular sets like fractals, mathematicians use the Hausdorff dimension. Unlike other types, the Hausdorff dimension can be a non-integer, such as a decimal value. This allows us to measure the complexity of shapes that do not fit into standard categories. 
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