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Chemically orthogonal means that two functional groups or molecules do not engage in similar/identical chemical reactions or exhibit significant differences in their chemical reactivities. An amino and a nitro are chemically orthogonal nitrogen-functions. On the other hand, an aldehyde and a ketone can be considered chemically very similar with respect to most reaction conditions.
I have to admit that this terminology is rather general and does apply to many functions. It is probably not of too much use.
What else can I help you with?
What is the chemically similar compound to aspirin?
The chemically similar compound to aspirin is ibuprofen.
Do compounds are chemically bounded together?
Yes, compounds are chemically bonded together. Compounds are formed when two or more different elements chemically combine to form a new substance with unique properties. The bonding can involve ionic, covalent, or metallic bonds depending on the elements involved.
What do molecules chemically combined form?
Multiple molecules chemically combined form a compound. Compounds are substances composed of two or more different elements chemically bonded together.
What is the pH of chemically pure water?
Chemically pure water has a neutral pH of 7 at 25°C.
What is the result called when elements are mixed chemically?
When elements are mixed chemically, the result is called a compound. A compound is a substance formed when two or more elements are chemically bonded together in a fixed ratio.
What is meant by chemically held?
Chemical energy
What is the definition of orthogonal signal space?
Orthogonal signal space is defined as the set of orthogonal functions, which are complete. In orthogonal vector space any vector can be represented by orthogonal vectors provided they are complete.Thus, in similar manner any signal can be represented by a set of orthogonal functions which are complete.
Can the difference of 2 vectors be orthogonal?
The answer will depend on orthogonal to WHAT!
What is orthogonal planning in ancient Greece?
it is planning of orthogonal planning
When was Orthogonal - novel - created?
Orthogonal - novel - was created in 2011.
What is the orthogonal planning in ancient Greece?
it is planning of orthogonal planning
Self orthogonal trajectories?
a family of curves whose family of orthogonal trajectories is the same as the given family, is called self orthogonal trajectories.
How do you use Orthogonal in a sentence?
Orthogonal is a term referring to something containing right angles. An example sentence would be: That big rectangle is orthogonal.
What is meant by orthogonal directions of polarization?
Orthogonal directions of polarization refer to two perpendicular directions in which an electromagnetic wave's electric field oscillates. In these directions, the electric fields are independent of each other and can be represented as perpendicular vectors. This property is commonly seen in linearly polarized light.
What has the author Richard Askey written?
Richard Askey has written: 'Three notes on orthogonal polynomials' -- subject(s): Orthogonal polynomials 'Recurrence relations, continued fractions, and orthogonal polynomials' -- subject(s): Continued fractions, Distribution (Probability theory), Orthogonal polynomials 'Orthogonal polynomials and special functions' -- subject(s): Orthogonal polynomials, Special Functions
What is self orthogonal?
Self orthogonal trajectories are a family of curves whose family of orthogonal trajectories is the same as the given family. This is a term that is not very widely used.
Prove that the product of two orthogonal matrices is orthogonal and so is the inverse of an orthogonal matrix What does this mean in terms of rotations?
To prove that the product of two orthogonal matrices ( A ) and ( B ) is orthogonal, we can show that ( (AB)^T(AB) = B^TA^TA = B^T I B = I ), which confirms that ( AB ) is orthogonal. Similarly, the inverse of an orthogonal matrix ( A ) is ( A^{-1} = A^T ), and thus ( (A^{-1})^T A^{-1} = AA^T = I ), proving that ( A^{-1} ) is also orthogonal. In terms of rotations, this means that the combination of two rotations (represented by orthogonal matrices) results in another rotation, and that rotating back (inverting) maintains orthogonality, preserving the geometric properties of rotations in space.
